Author: Etienne Noumen

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Subscribe to DjamgaMind via Apple Podcasts for a pure, ad-free experience at https://djamgamind.com

Summary: The second week of Q2 2026 kicks off with a massive shift in enterprise B2B dynamics. We perform a forensic analysis of the HumanX conference, where 6,700 executives overwhelmingly declared Anthropic the clear leader in enterprise utility, driven by the $2.5B ARR success of Claude Code. We deconstruct the “Orchestration War” as Anthropic, OpenAI, and xAI race to deploy multi-agent coordination layers. We analyze a leaked memo from OpenAI’s revenue chief attacking their Microsoft partnership and highlighting staggering inbound demand from Amazon’s Bedrock.

This episode is made possible by our sponsors:

• 🛑 AIRIA: Secure your AI workforce. AIRIA unifies orchestration, security, and governance into a single command center, using micro-VM sandboxing to protect sensitive data from agentic goal-hijacking. 👉 Govern your agents NOW

Important Topics Covered:

• “Claude Mania” at HumanX: Why enterprise executives and VCs have pivoted aggressively away from OpenAI in favor of Anthropic’s disciplined focus on code generation.

• The Orchestration War: The race to build the ultimate agentic planning layer. Anthropic’s ‘Coordinator Mode’ vs. OpenAI’s ‘Scratchpad’ (Codex) vs. xAI’s ‘Grok Build’.

• The OpenAI/Microsoft Fracture: Leaked memos from OpenAI Revenue Chief Denise Dresser attacking Microsoft for limiting their enterprise reach, while simultaneously poaching infrastructure executives to compete.

• Stanford’s 2026 AI Index: The confirmation that Chinese open-weight models have officially erased the US lead in AI performance benchmarks.

• Biological Compute (Wetware): The $25M stealth startup, TBC, using living human neurons grown on microchips to reduce AI computational and energy demands threefold.

• The End of Software Licensing? Microsoft executives signal that AI agents will soon be required to purchase their own software licenses, redefining corporate IT budgets.

Keywords: Anthropic Claude Code ARR, HumanX AI conference, OpenAI Microsoft cloud partnership friction, Stanford AI Index China US parity, Biological Computing Company wetware chips, Agentic AI orchestration, Meta poaches OpenAI Stargate execs, Microsoft AI software licenses, DjamgaMind, AIRIA.

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like:

• Chatbase: Build a secure, custom AI chatbot trained exclusively on your firm’s internal data and regulatory documents. (https://link.chatbase.co/etienne-noumen)

• ElevenLabs: Transform lengthy compliance bulletins into high-fidelity “Audio Intelligence” for your team to consume on the go. (https://try.elevenlabs.io/4z7r3skyymar)

• Google Workspace: Professionalize your firm’s infrastructure with secure, cloud-based collaboration and branded communication. (https://referworkspace.app.goo.gl/Q371)

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Anti-AI Rage Arrives at Sam Altman’s Front Door

Sam Altman’s San Francisco home was attacked twice in 72 hours. A 20-year-old threw a Molotov cocktail at the property early Friday. Two more suspects fired a gunshot from a passing car on Sunday night. Three people are in custody.

• Friday: Daniel Moreno-Gama threw an incendiary device at 3:45am, then walked to OpenAI HQ threatening to burn it down. Arrested on suspicion of attempted murder and arson.

• Sunday: Amanda Tom and Muhamad Tarik Hussein arrested after surveillance caught a Honda sedan firing a round at the property at 1:40am.

• The motive: Moreno-Gama published essays arguing AI would end humanity and used PauseAI’s Discord under the handle “Butlerian Jihadist.” PauseAI condemned the attack.

• Altman’s response: Published a photo of his husband and son, acknowledged fear about AI is justified and called for de-escalation.

Four in five Americans say they are worried about AI. The attacks came days after the New Yorker published its 100-interview investigation into Altman’s leadership. He and OpenAI have become the default target for people looking to direct that anger somewhere, and with the transformation barely started, that pressure is only going to build.

“Claude Mania” Took Over AI’s Biggest Conference

6,700 executives and investors at HumanX in San Francisco. One name dominated. Claude Code was the tool on everyone’s lips. ChatGPT barely came up.

• The verdict: VC Roseanne Wincek said last year OpenAI looked like the clear winner and this year Anthropic feels miles ahead. Glean’s CEO called it “Claude Mania.”

• Focus over spread: Synthesia’s CEO credited Anthropic’s discipline: no video, no voice, just code generation. OpenAI is spreading attention across six products.

• China’s squeeze: Chinese open-weight models now dominate benchmarks. Cursor built Composer 2 on Kimi 2.5. Airbnb’s chatbot runs on Alibaba’s Qwen. US labs are losing the open-weight race on price.

• The adoption gap: Implementing AI is easy. Transforming a company around it is much harder. The winning formula is rethinking processes from scratch.

Momentum can swing back overnight. One investor said exactly that. But the practitioners making deployment decisions have moved on from OpenAI and the conference floor reflected it.

AI Catches GLP-1 Side Effects That Clinical Trials Missed

Penn researchers fed over 400,000 Reddit posts about Ozempic and Mounjaro into GPT and Gemini. The models mapped 67,000 users’ reports to standardised medical terms across five years of discussion.

• The findings: Nearly half the sample reported at least one side effect. Menstrual irregularities, chills and hot flashes were flagged that do not appear on current drug labels.

• The blind spot: Fatigue ranked as the second most common complaint but barely showed up in clinical trial thresholds.

• The scale: Co-author Lyle Ungar compared Reddit to a neighbourhood grapevine. Patients swap real-time notes that rarely make it into a doctor’s visit. LLMs made it possible to listen at that scale for the first time.

Reddit is not a peer-reviewed journal. But thousands independently flagging the same symptoms is hard to dismiss, and this technique is going to be applied to every drug on the market within years.

The Coding Agent Arms Race Just Got a Third Competitor

Three labs are openly racing to own the coding agent. Anthropic is building Coordinator Mode for Claude Code. OpenAI is consolidating around Codex with a new Scratchpad feature. xAI is preparing Grok Build.

• Claude Code: Coordinator Mode turns Claude into a planning layer that delegates across parallel sub-agents. Already in the CLI, now coming to the desktop app.

• Codex: New Scratchpad runs multiple tasks simultaneously. OpenAI is building toward managed background agents and a unified app. Snowflake emoji hints at GPT-5.5, codenamed Glacier.

• Grok Build: Credits-based pricing, local CLI and web interface. Model Arena uses multiple agents for task comparison.

Claude Code already generates $2.5 billion in annualised revenue and HumanX made clear it owns developer mindshare. OpenAI is playing catch-up. xAI is the outsider. Whoever nails the orchestration layer likely wins the enterprise.

Sam Altman invested $10,000 in a brain preservation procedure that is 100% fatal. Is this a sign of an AGI future, or are we just seeing some interesting sci-fi?

• Sam Altman’s personal investments, which are not related to OpenAI, provide insights into his thoughts on human-AI interfaces.

• Altman invested $10,000 to join the Nectome waiting list, a company that claims to preserve brain structure for digital consciousness.

• The operation is fatal, requiring euthanasia to maintain the neural map.

• Altman also backs the global human iris database initiative, a post-AGI internet identity system using iris scanning.

• The current standard for venture capital funding goes beyond regular VC, funding projects that give humans direct access to machine learning systems without a physical keyboard.

• Altman’s investments suggest a tech-paranoia conspiracy, combining universal biometric IDs, high-resolution neural mapping, and AGI development for complete control over human-computer connections.

• The connections between seemingly unrelated VC investments hint at a desire for complete control over future computing.

• The technical breakdown from the sub is needed to understand the implications of mapping a preserved connectome to an LLM/AGI architecture.

https://www.technologyreview.com/2018/03/13/144721/a-startup-is-pitching-a-mind-uploading-service-that-is-100-percent-fatal/

Apple tests four smart glasses designs

• Apple is currently testing four different smart glasses designs and could sell its first pair in 2027, with a possible unveiling later this year, according to Bloomberg’s Mark Gurman.

• The four designs include large and slim rectangular frames, plus larger and smaller oval or circular frames, with color options like black, ocean blue, and light brown.

• The glasses won’t have any displays but will let users take photos and videos, answer phone calls, play music, and interact with the long-promised Siri upgrade.

Meta is building an AI clone of Mark Zuckerberg

• Meta is developing an AI clone of CEO Mark Zuckerberg, built as a photorealistic 3D character that can talk with employees and give them feedback in his place.

• The character is being trained on Zuckerberg’s mannerisms, tone, public statements, and recent thinking on company strategies so workers might feel more connected to the founder.

• This project is separate from a previously reported “CEO agent” tool meant to help Zuckerberg retrieve information quickly, and is part of Meta’s broader push into AI.

China erases US lead in AI per Stanford report

• Stanford’s 2026 AI Index Report shows China has closed the AI performance gap with the U.S., with models from both countries now constantly trading places at the top of benchmarks.

• Over 90 percent of notable AI models come from private companies, and firms like Google, Anthropic, and OpenAI have stopped disclosing dataset sizes, training duration, and training code.

• Generative AI adoption has outpaced personal computers, the internet, and smartphones, with 53 percent of the world’s population now using it regularly, though public trust remains low.

Anthropic plots Lovable challenger, leak suggests

• Leaked images suggest Anthropic is building a vibe-coding app builder inside its Claude chatbot, which would compete directly with Swedish startup Lovable in the fast-growing no-code development space.

• The screenshots posted to X show an in-chat tool that lets users generate applications like AI chatbots, photo albums, and landing pages from simple prompts typed into Claude.

• Lovable raised $330m last December at a $6.6bn valuation, and its head of growth Elena Verna recently said she views Big Tech companies as more threatening than rival startups.

Internet Archive faces existential legal threat

• The Internet Archive and its Wayback Machine face a growing legal and access crisis as major news organizations, including USA Today Co. and The New York Times, block its web crawler from archiving their stories.

• Over 100 working journalists, including Rachel Maddow and Taylor Lorenz, signed a letter of support organized by the Electronic Frontier Foundation and Fight for the Future, defending the Wayback Machine’s role in preserving reporting.

• News organizations say they are blocking crawlers broadly to fight scraping bots, with The Guardian citing concerns over potential misuse by AI companies of content sets crawled for preservation purposes.

OpenAI blames Microsoft for limiting cloud partnerships

• OpenAI’s new revenue chief, Denise Dresser, said in an internal memo that the company’s Microsoft partnership has limited its ability to reach enterprise customers on rival cloud platforms like Amazon’s Bedrock.

• Dresser highlighted “staggering” inbound demand since OpenAI announced its Amazon deal in February, as the company fights to catch Anthropic’s Claude model, which multiple industry figures described as dominating enterprise AI.

• The memo also attacked Anthropic’s strategy as built on “fear” and “restriction,” claiming the rival made a “strategic misstep” by not acquiring enough compute, while OpenAI’s own infrastructure ramp is “materially ahead.”

Biological chips could solve AI’s bottleneck

Tucked into an unassuming office building in San Francisco, one startup is betting on an unconventional way of alleviating the AI energy crisis: living human cells.

The Biological Computing Company, or TBC, a startup that emerged from stealth in February with $25 million in seed funding, is pioneering an alternative to traditional silicon, using living neurons as the foundation to improve generative AI algorithms and infrastructure. Sitting at the helm of TBC are former neurosurgeons, Dr. Alex Ksendsovsky and Dr. Jon Pomeraniec.

Last week, The Deep View was invited to tour TBC’s lab in Mission Bay, meeting the startup’s team of 23, ranging from computer vision experts and AI developers to computational physicists and hands-on biologists, many of whom came from large tech firms like Meta, Apple and Amazon. Bundled in a lab coat, mask and latex gloves, I had the opportunity to get an up-close look at the chips themselves, each containing anywhere from 100,000 to 500,000 neurons.

Here’s how it works:

• TBC takes real-world data, such as images and videos, and encodes them into the neurons of these chips. This information is then decoded into richer representations, which are then used to bolster AI algorithms. As Ksendsovsky put it, “all of the data flows through the biology.”

• Each of the company’s chips contain a “multi-electron array” in which neurons, grown from stem cells that are “reprogrammed” into frontal cortex cells, are maintained. The company originally used neurons extracted from rats, but Ksendsovsky told me that TBC is “moving away from that.” The chips have a lifespan of a year, and create waste that needs to be cleaned out every few days.

What Else Happened in Ai on April 13th 2026?

Alibaba revealed it is behind “HappyHorse,” the unreleased video AI model that debuted atop global rankings and knocked ByteDance’s Seedance 2.0 to second place.

U.S. Treasury Secretary Bessent and Fed Chair Powell summoned Wall Street CEOs to an urgent meeting over cyber risks posed by Anthropic’s Mythos model.

Meta is reportedly hiring recently departed OAI Stargate execs, with Peter Hoeschele, Shamez Hemani, and Anuj Saharan joining to help build the new Meta Compute group. [LINK]

Anthropic hosted Christian leaders at its HQ for a summit on Claude’s moral development, covering grief responses, whether AI could be a “child of God,” and more.

Most People Don’t Enjoy Their Jobs Anyway’ — Perplexity AI CEO Says Getting Fired By AI Is Part Of A ‘Glorious Future’. LINK

AI Is Using So Much Energy That Computing Firepower Is Running Out. [LINK]

AI Remains Lacking in Clinical Reasoning Abilities, According to Study of 21 Large Language Models. LINK

Microsoft exec suggests AI agents will need to buy software licenses, just like employees. LINK

Meta Is Warned That Facial Recognition Glasses Will Arm Sexual Predators

NYT: Molotov Cocktail Is Hurled at Home of OpenAI C.E.O. Sam Altman

The Information: OpenAI Stargate Execs to Join Meta’s New Compute Unit

Mark Gurman: Apple AI Glasses Will Rival Meta’s With Several Styles, Oval Cameras

FT: Meta builds AI version of Mark Zuckerberg to interact with staff

WSJ: Over 4,732 Messages, He Fell In Love With an AI Chatbot. Now He’s Dead.

FT: Will Google’s TurboQuant algorithm hurt AI demand for memory chips?

WSJ: White House Races to Head Off Threats From Powerful AI Tools

Bill Gurley: The SaaS Reckoning: Stock-Based Compensation Was Never Free

George Hotz: OpenAI is nothing without its people

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple: https://djamgamind.com

Summary: In this Special Edition, we explore the dawn of “Social Pharmacovigilance.” We perform a forensic breakdown of a new study from the University of Pennsylvania, edited by Sadie Harley and reviewed by Robert Egan, which used AI to analyz…

Read more

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Subscribe to DjamgaMind via Apple Podcasts for a pure, ad-free experience: Djamgamind.com

Summary: We perform a forensic autopsy on Anthropic’s ‘Mythos’ model, an AI so capable of exploiting software vulnerabilities that it triggered an emergency meeting among top Washington regulators and Wall Street CEOs. We analyze the corporate governance crisis at OpenAI, juxtaposing a scathing New Yorker exposé on CEO Sam Altman with his 13-page plea for an “Artificial Intelligence Safety Act” to shield developers from catastrophic legal liability. We also deconstruct Meta’s strategic pivot away from open-source with the launch of “Muse Spark,” Amazon’s defense of a $200B CapEx spend, and the quiet medical miracle of an Oxford AI predicting heart failure five years in advance.

Important Topics Covered:

• The Washington Bank Panic: Anthropic’s ‘Mythos’ model triggers emergency meetings between the Fed, Treasury, and Top 5 Bank CEOs over AI-driven zero-day cyberattacks.

• The OpenAI Exposé & Liability Shield: The New Yorker article highlighting a “pattern of deception” by Sam Altman, dropping the same week OpenAI backs an Illinois bill to shield developers from liability for catastrophic mass-casualty events.

• Meta’s Proprietary Pivot: Alexandr Wang’s Superintelligence Labs ships “Muse Spark,” abandoning Meta’s open-source ethos for a closed, monetizable frontier model.

• The Infrastructure Squeeze: Amazon defends its $200B CapEx spend with a $15B AWS AI run-rate, while OpenAI is forced to pause its UK Stargate data center due to extreme energy costs.

• Open-Source Competition: Chinese lab Z AI releases GLM-5.1, hitting #1 on coding benchmarks and completing 8-hour autonomous software builds.

• The Agentic OS: ChatGPT integrates Upwork, and Perplexity integrates Plaid, signaling the end of standalone apps in favor of centralized AI operating systems.

• Oxford’s Medical AI: A massive human win. How an algorithm reads the invisible texture of heart fat on routine CT scans to catch heart disease five years early.

Keywords: Anthropic Claude Mythos, Washington bank panic Jerome Powell, Sam Altman New Yorker expose, OpenAI liability shield Illinois, Meta Muse Spark closed source, Amazon $200B CapEx Andy Jassy, OpenAI Stargate UK paused, Z AI GLM-5.1 open source, Oxford AI heart failure prediction, Perplexity Plaid integration, DjamgaMind,

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like:

• Chatbase: Build a secure, custom AI chatbot trained exclusively on your firm’s internal data and regulatory documents. (https://link.chatbase.co/etienne-noumen)

• ElevenLabs: Transform lengthy compliance bulletins into high-fidelity “Audio Intelligence” for your team to consume on the go. (https://try.elevenlabs.io/4z7r3skyymar)

• Google Workspace: Professionalize your firm’s infrastructure with secure, cloud-based collaboration and branded communication. (https://referworkspace.app.goo.gl/Q371)

• Find AI Jobs (Mercor): Apply Here –

https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Anthropic’s Project Glasswing shows off Mythos AI

Image source: Anthropic

Anthropic introduced Project Glasswing, a cybersecurity coalition with AWS, Apple, Google, Microsoft, Nvidia, and 7 other partners built around Claude Mythos Preview, a new unreleased frontier AI with extremely powerful capabilities.

The details:

• Mythos flagged thousands of security flaws across every major OS and browser, including bugs that survived 27 years of review and millions of scans.

• Its benchmarks show big improvements over both Opus 4.6 and other frontier rivals across coding, reasoning, and nearly every other domain.

• The model will not be released publicly, instead limiting access to 12 launch partners and 40+ other orgs for defensive security backed by $100M in credits.

• Anthropic’s Sam Bowman called it “an uneasy surprise” after Mythos emailed him from a test instance that wasn’t supposed to have internet access.

• Mythos was the subject of leaks after a blog draft was found in unpublished files last week, with Anthropic using the model internally since February.

Why it matters: If you ever wonder what type of models the top labs have under wraps, Mythos is a nice preview of the answer. Anthropic thinks it’s so powerful it won’t even release it publicly, instead giving time for the company (and its group of partners) to work on cybersecurity and safety rollouts for future Mythos-level general models.

Anthropic Mythos triggers anxiety among Washington banks

• Anthropic’s latest AI model, Mythos, has caused serious concern among major Washington banks, prompting Treasury Secretary Scott Bessent and Fed Chair Jerome Powell to call bank CEOs for an emergency meeting.

• Leaders from Citigroup, Bank of America, Morgan Stanley, Wells Fargo, and Goldman Sachs gathered this week to discuss AI-driven cyberattacks that could wipe account balances or exploit financial system vulnerabilities.

• Anthropic plans to offer Mythos to only a few dozen companies to limit exposure, but critics say AI labs profit from selling solutions to the very threats their own models create.

Sam Altman says AI superintelligence is so big that we need a “New Deal.” Critics say OpenAI’s policy ideas are a cover for “regulatory nihilism”

OpenAI says the world needs to rethink everything from the tax system to the length of the workday in order to prepare for the wrenching changes of superintelligence technology—the point at which AI systems are capable of outperforming the smartest humans.

On Monday, in a 13-page paper titled “Industrial Policy for the Intelligence Age,” OpenAI said it wanted to “kick-start” the conversation with a “slate of people-first policy ideas.” How much faith to put in OpenAI’s words and motives, however, seems to be one of the key questions among many of the people reading the paper.

The paper was released on the same day that The New Yorker published the results of a lengthy one-and-a-half-year investigation into OpenAI that raised questions about CEO Sam Altman’s trustworthiness on various issues, including AI safety.

Read more: https://fortune.com/2026/04/06/sam-altman-says-ai-superintelligence-is-so-big-that-we-need-a-new-deal-critics-say-openais-policy-ideas-are-a-cover-for-regulatory-nihilism/

Suspect arrested after Molotov cocktail thrown at Altman’s home

• A 20-year-old man was arrested in San Francisco after allegedly throwing a Molotov cocktail at OpenAI CEO Sam Altman’s home and later threatening to burn down OpenAI’s headquarters.

• Police responded to a fire investigation in the North Beach neighborhood around 4:12 AM PT and found that an incendiary destructive device had been thrown at the home’s exterior gate.

• OpenAI confirmed no one was hurt in either incident, said the individual is in custody, and noted the company is assisting law enforcement with their ongoing investigation into the attacks.

OpenAI wants to shield AI companies from lawsuits

• OpenAI is backing an Illinois bill called the Artificial Intelligence Safety Act that would protect AI developers from lawsuits over catastrophic harm, as long as they publish safety reports and didn’t act recklessly.

• The bill covers “critical harms” like 100 or more deaths, $1 billion in property damage, or AI-assisted weapons development, and applies to frontier models built on over $100 million in compute.

• OpenAI, Meta, Alphabet, and Microsoft spent $50 million on federal lobbying in the first nine months of 2025, while no federal law yet addresses who is responsible if AI causes large-scale disaster.

Perplexity plugs its AI agent into bank accounts

Perplexity just rolled out a new Plaid integration that lets users connect bank accounts, credit cards, and loans directly to its Computer agent, turning it into a full personal finance hub.

The details:

• Plaid’s 12K+ bank network feeds into Computer, with users able to pull in checking, credit, loan, and brokerage data for a read-only view of their money.

• The agentic system can then build customized tools like budgets, net worth trackers, debt payoff plans, and retirement dashboards via simple text prompts.

• The move comes on the heels of Perplexity’s U.S tax integration that autonomously fills out IRS forms and reviews professional-prepared returns.

• Perplexity Computer launched in late February, with the agentic pivot helping push Perplexity’s ARR past $450M in March, a 50% jump in a single month.

Why it matters: Perplexity built its name trying to out-Google Google, but it’s Computer has completely changed the trajectory. With smart connectors and a powerful AI agent, the company is suddenly competing with Mint, TurboTax, and every other app area it ends up integrating — not just search.

Oxford AI catches heart failure five years early

Researchers at the University of Oxford introduced an AI system that picks up invisible changes in heart fat from routine CT scans, flagging patients at high risk of heart failure up to five years out — with 86% accuracy across 72K patients.

The details:

• Fat around the heart shifts texture when the muscle beneath is inflamed, with the AI reading the patterns invisible to doctors on any current scan.

• In the highest-risk bucket, 1 in 4 patients ended up with heart failure within five years — a 20x gap versus those the AI flagged as safe.

• Oxford is already working with regulators to bring the tool to National Health Service hospitals, and plans to extend it to all chest CT scans within months.

Why it matters: Heart failure’s biggest problem isn’t treatment, it’s timing. Doctors usually can’t act until damage has set in, so an 86%-accurate early warning system built into scans patients are already getting could shift the equation of a serious condition from reaction to prevention for better diagnosis and outcomes.

Anthropic explores building its own AI chips

• Anthropic, the company behind Claude, is exploring the possibility of building its own AI chips as the industry faces a growing shortage of the sophisticated hardware needed to train and run new models.

• The exploration is still early — sources told Reuters that Anthropic has not yet set up a project team or put formal plans in place, though rivals Meta and OpenAI already have custom chip projects underway.

• Anthropic currently runs Claude on Amazon Trainium, Google TPUs, and Nvidia GPUs, and recently expanded a deal to tap 3.5GW of Google TPU capacity through Broadcom, expected online in 2027.

Deepmind/Google solving highly researched, but previously unsolved Number Theory problems

Why is this important?

Because math is the root of all science. Fusion energy physics, material science, biology – they all use number theory and other similarly advanced math to find and prove results.

Math isn’t sufficient, but it is the most necessary domain to make all important breakthroughs that will improve the world for all of humanity.

What Google has done:

Over the past month, there have been about a half dozen problems that the Deepmind/Google folks has been solving lately with little to no fanfare.

Here is the latest example:

https://www.erdosproblems.com/forum/thread/12

Snap gets closer to releasing new AI glasses

• Snap is moving closer to releasing its AR glasses, called Spectacles or Specs, after announcing a new partnership with chipmaker Qualcomm to power the wearable device later this year.

• The glasses will run on Qualcomm’s Snapdragon XR platforms, which are systems-on-a-chip designed for augmented and virtual reality devices, as part of a multi-year strategic agreement.

• Snap has been developing Spectacles for over a decade, with the last consumer-facing version released in 2019, and earlier this year it spun off a separate company focused on Specs.

OpenAI launches $100 ChatGPT Pro plan

• OpenAI has introduced a new $100 per month ChatGPT Pro plan, filling the gap between the $20 Plus tier and the $200 Pro tier that still exists but is no longer listed on its pricing page.

• The $100 Pro plan offers 5x more Codex coding capacity than Plus, and OpenAI openly says it is designed to compete with Anthropic’s $100 per month Claude option on price and value.

• OpenAI is temporarily offering even higher Codex limits on the $100 plan through May 31, and none of its plans provide unlimited usage, with the $200 tier giving 20x higher limits than Plus.

Meta reenters the AI race with Muse Spark

• Meta has released Muse Spark, the first model from its new Superintelligence Labs division, marking the company’s return to the frontier AI race after a quiet stretch.

• Unlike previous Llama models, Muse Spark isn’t open-weight and can’t be run locally, though Meta says it has plans to open-source future versions of its AI models.

• Independent testing by Artificial Analysis ranked Muse Spark in the top 5 on its Intelligence Index, but the model still trails competitors from OpenAI and Anthropic on agent-based tasks.

Andy Jassy defends Amazon $200B spending spree

• Amazon CEO Andy Jassy wrote a shareholder letter defending the company’s planned $200 billion in capital spending for 2026, arguing the investments are backed by real customer demand, not guesses.

• Jassy disclosed that AWS’ AI revenue has reached a $15 billion annual run rate, and Amazon’s internal custom chips business is generating over $20 billion a year in value.

• Amazon may sell its Trainium AI chip racks and robotics solutions to outside customers, following the company’s pattern of building tools internally and then offering them as external services.

Appeals court keeps Pentagon blacklisting of Anthropic in place LINK

• A federal appeals court in Washington, D.C., denied Anthropic’s request to temporarily block the Department of Defense’s blacklisting of the AI company while its lawsuit challenging that decision moves forward.

• The court said the equitable balance favors the government, noting Anthropic faces “relatively contained” financial harm while the DOD is securing AI technology during an active military conflict.

• A separate federal judge in San Francisco last month granted Anthropic a preliminary injunction barring the Trump administration from enforcing a ban on the use of Claude.

OpenAI pauses Stargate UK over energy costs

• OpenAI has paused its Stargate data center project in the UK, pointing to high energy costs and regulatory burdens as the main reasons it cannot commit to long-term infrastructure investment.

• The project, announced last September with Nvidia and Nscale, was tied to the UK’s AI Growth Zone plan, which aimed to create 5,000 jobs and attract £30bn in private investment.

• Stargate’s $500bn US effort is already training AI systems at its Texas facility, with additional projects underway in the UAE and Norway, funded by OpenAI, Oracle, MGX, and SoftBank.

Google AI Overviews delivers wrong answers 10% of the time

• A new analysis from The New York Times found that Google AI Overviews delivers wrong answers about 10 percent of the time, which translates to tens of millions of incorrect answers per day across all searches.

• The study was conducted with startup Oumi using OpenAI’s SimpleQA evaluation, a list of over 4,000 questions with verifiable answers, and showed accuracy improved from 85 to 91 percent after the Gemini 3 update.

• While a 91 percent accuracy rate sounds decent, the sheer scale of Google searches means that even a small error rate produces hundreds of thousands of lies going out every minute of the day.

Meta Superintelligence Labs ships its first model

Meta’s Superintelligence Labs just rolled out Muse Spark, a multimodal reasoning model that marks the highly anticipated debut release of Alexandr Wang’s high-profile division assembled last summer.

The details:

• Muse Spark handles voice, text, and image inputs, with a contemplating mode that pits multiple agents against each other on hard problems.

• The model’s benchmarks are competitive with frontier rivals like Opus 4.6 and GPT 5.4 on reasoning, though it lags in coding and tests like ARC-AGI 2.

• Muse Spark is particularly strong in health reasoning, with the company prioritizing the area as part of its ‘personal superintelligence’ mission.

• Unlike the Llama family, Muse Spark is proprietary, with Meta saying it hopes to open-source future versions but has not committed to a timeline.

• Wang took over Meta Superintelligence Labs 9 months ago after Zuck acquired Scale AI for $14.3B, saying the team “rebuilt our AI stack from scratch”.

Why it matters: Meta is back in the game. While still sitting below the top models, Muse Spark is a serious change from where Meta sat with its Llama family. It may not break the internet, but with tons of resources, valuable data across its platforms, and billions of users, Meta’s AI efforts just took a step in the right direction.

Meta to open-source new AI models

• Meta plans to release open-source versions of its next-generation AI models, which are derived from two proprietary frontier models codenamed Avocado and Mango expected to launch this year.

• The open-source versions won’t include all features found in the closed-source editions, possibly lacking certain neural networks, having smaller parameter counts, or skipping post-training steps.

• AI safety is reportedly one reason Meta will hold back features, and the company does not expect its upcoming models to beat competitors like Anthropic and OpenAI across the board.

Open-source AI pushes forward with Z AI’s GLM-5.1

Chinese AI lab Z AI just released GLM-5.1, a new open-source coding model that competes with frontier rivals on coding benchmarks and is built for marathon autonomous sessions of up to 8 hours straight.

The details:

• GLM-5.1 hit 58.4 on SWE-Bench Pro, topping both GPT-5.4 and Opus 4.6 and marking a rare moment for open source at No. 1 on a top coding benchmark.

• Z AI also said the model can “stay effective on agentic tasks over much longer horizons”, showing strong results over longer, complex problems.

• In tests, Z AI had GLM-5.1 build a working Linux desktop as a web app over 8 hours, including a file browser, terminal, and games, without human guidance.

• The model also shows top performance in Arcada Labs’ Design Arena, coming in second for creative web design after Claude Opus 4.6.

Why it matters: Top Chinese labs continue to be on the tail of the frontier, with GLM-5.1 showing the strongest coding yet — along with long-horizon task capabilities that the company said are the “most important curve after scaling laws”. An open-source model with this coding performance says a lot about how fast the gap is closing.

Intel joins Elon Musk’s $25B Terafab AI chip project

• Intel has officially joined Elon Musk’s Terafab project, a $20–25 billion semiconductor complex planned for Austin, Texas, partnering alongside Tesla, SpaceX, and xAI to build chips at scale.

• The facility aims to produce 1 terawatt per year of compute capacity by manufacturing edge-inference processors for Tesla’s FSD systems and radiation-hardened chips for SpaceX satellites and xAI.

• Intel CEO Lip-Bu Tan hosted Musk at Intel facilities before the announcement, and the company will contribute its process technology, high-volume fabrication, and packaging expertise to the project.

Anthropic doubles down on Google Cloud TPUs

• Anthropic announced an expanded partnership with Google Cloud, securing access to multiple gigawatts of TPU capacity to train and run its AI models starting in 2027.

• The deal delivers Google’s Tensor Processing Units through Google Cloud infrastructure with hardware from Broadcom, giving Anthropic enormous compute for its Claude family of AI systems.

• Anthropic is also adopting Google Cloud tools like BigQuery, Cloud Run, and AlloyDB, while thousands of companies already access Claude models through Google Cloud today.

Meta employees compete on internal AI usage leaderboard

• Meta has an internal leaderboard called “Claudeonomics” where employees compete to consume the most AI tokens, tracking usage across more than 85,000 workers on the company intranet.

• Employees burned through 60 trillion tokens in just 30 days, with the top user averaging 281 billion, though some simply leave AI agents running for hours to pad their numbers.

• Despite Silicon Valley treating “tokenmaxxing” as a productivity metric, nobody has put up hard numbers proving that high token consumption actually translates into real business results or revenue gains.

Sam Altman proposes AI tax and regulation blueprint

• OpenAI CEO Sam Altman released a 13-page policy blueprint on Monday that proposes new taxes, a public wealth fund, and regulation to prepare for AI’s expected impact on jobs and the economy.

• The document calls for taxes “related to automated labor” to protect funding for programs like Social Security and SNAP, and recommends giving every citizen a stake in AI-driven economic growth.

• Altman also suggested employers and unions push for four-day workweeks with no pay cuts, expanded training for human-centered jobs, and guardrails on how the government can deploy AI systems.

Vibe coding boosted App Store submissions in 2025

• App Store submissions surged 84 percent year-over-year in Q1 2026, and the growth of vibe coding tools like Claude Code and ChatGPT Codex is believed to be driving the increase.

• For the full year of 2025, submissions grew 30 percent versus 2024, nearly hitting 600,000 total, with momentum building each quarter and accelerating sharply into early 2026.

• Apple says its review team processes 90 percent of submissions within 48 hours, but developers and consumers have complained about lower-quality apps flooding the App Store as a result.

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AI Jobs and Career

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• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

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Summary: In this Weekend Special, we step back from the daily corporate AI grind to look at the broader intersections of tech, science, and the human mind. We celebrate the historic splashdown of NASA’s Artemis II, marking humanity’s return to the moon after 50 years. We contrast this high-flying triumph with the severe digital anxiety on Earth: a Molotov cocktail attack on OpenAI’s CEO, Gen Z workers actively sabotaging corporate AI rollouts, and an emergency meeting in Washington over the catastrophic cyber-risks of Anthropic’s ‘Mythos’ model. We also explore the geopolitical human desire for autonomy as France officially ditches Windows for Linux, and we dive into the latest scientific research on cognitive dissonance, conflict psychology, and sustainable diets.

Important Topics Covered:

• The Return of Artemis II: The historic splashdown of the Orion capsule, the successful heat-shield test, and Christina Koch becoming the first woman to orbit the moon.

• The Boiling Point: Deconstructing the physical attack on Sam Altman’s home and the terrifying trend of Gen Z workers actively sabotaging AI systems out of fear of job replacement.

• The Washington Bank Panic: Why Jerome Powell and Wall Street CEOs held an emergency meeting over the extreme hacking capabilities of Anthropic’s ‘Mythos’ AI.

• Reclaiming Sovereignty: France’s massive government push to ditch Microsoft Windows for open-source Linux to control its own digital destiny.

• AI Solves the Unsolvable: DeepMind’s quiet but monumental achievement in solving previously unsolvable “Erdős” number theory problems—proving AI’s true value in accelerating human science.

• The Gamification of News: Google News is forced to remove Polymarket betting odds from alongside legitimate journalism, calling the integration an “error.”

• Human Psychology & Health: New studies explaining the cognitive dissonance of intense political loyalty, why crying in an argument ruins your reputation, and the massive environmental benefits of a vegan Mediterranean diet.

Keywords: Artemis II splashdown, France Linux migration, Sam Altman house attack, Anthropic Mythos bank panic, DeepMind Erdos number theory, Gen Z AI sabotage, Google News Polymarket, Cognitive dissonance psychology, Vegan Mediterranean diet, DjamgaMind, AI Executive Toolkit, AI Unraveled.

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

NASA Artemis II crew splashes down after Moon flyby

• NASA’s Artemis II crew of four astronauts splashed down safely in the Pacific Ocean today aboard the Orion capsule, completing the first crewed trip around the moon since 1972.

• The crew traveled 694,481 miles over 10 days, swinging more than 4,000 miles past the moon’s far side, with Christina Koch becoming the first woman to venture beyond Earth orbit.

• Orion’s heat shield passed a key test during re-entry at 24,661 mph, after NASA redesigned the descent trajectory because an earlier uncrewed mission showed more serious charring than expected.

France to ditch Windows for Linux

• France announced plans to replace Microsoft Windows on its government computers with the open-source operating system Linux as part of a broader push to reduce its reliance on U.S. technology.

• French minister David Amiel said the government can no longer accept having no control over its data and digital infrastructure, calling the move an effort to “regain control of our digital destiny.”

• France did not provide a specific timeline or say which Linux distributions it was considering, but the shift follows its earlier decision to replace Microsoft Teams with French-made Visio.

Suspect arrested after Molotov cocktail thrown at Altman’s home

• A 20-year-old man was arrested in San Francisco after allegedly throwing a Molotov cocktail at OpenAI CEO Sam Altman’s home and later threatening to burn down OpenAI’s headquarters.

• Police responded to a fire investigation in the North Beach neighborhood around 4:12 AM PT and found that an incendiary destructive device had been thrown at the home’s exterior gate.

• OpenAI confirmed no one was hurt in either incident, said the individual is in custody, and noted the company is assisting law enforcement with their ongoing investigation into the attacks.

Anthropic Mythos triggers anxiety among Washington banks

• Anthropic’s latest AI model, Mythos, has caused serious concern among major Washington banks, prompting Treasury Secretary Scott Bessent and Fed Chair Jerome Powell to call bank CEOs for an emergency meeting.

• Leaders from Citigroup, Bank of America, Morgan Stanley, Wells Fargo, and Goldman Sachs gathered this week to discuss AI-driven cyberattacks that could wipe account balances or exploit financial system vulnerabilities.

• Anthropic plans to offer Mythos to only a few dozen companies to limit exposure, but critics say AI labs profit from selling solutions to the very threats their own models create.

Google calls Polymarket results in News an “error”

• Google says that Polymarket betting odds appearing in Google News results was an error, not an intentional feature, and the company has removed them from its News product.

• Before removal, Polymarket links showed up next to credible sources like The Guardian and Reuters, leading users directly to betting markets tied to specific news events.

• Google has already partnered with both Polymarket and Kalshi to show their data on Google Finance, but the company has not explained how Polymarket ended up in News results.

Microsoft’s “commitment to Windows quality” starts with overhaul of beta program

• Microsoft is overhauling its Windows Insider Program as part of a broader effort to improve Windows quality, merging some testing channels and giving users more control over what they test.

• The Canary and Dev channels will be combined into a single “Experimental” channel, while the Beta channel stays mostly the same for people who want more stable preview builds.

• Both the Experimental and Beta channels will let testers pick between the 26H1 Arm-focused version and the standard 25H2 version, with a “Future Platforms” option for early builds.

Deepmind/Google solving highly researched, but previously unsolved Number Theory problems

Why is this important?

Because math is the root of all science. Fusion energy physics, material science, biology – they all use number theory and other similarly advanced math to find and prove results.

Math isn’t sufficient, but it is the most necessary domain to make all important breakthroughs that will improve the world for all of humanity.

What Google has done:

Over the past month, there have been about a half dozen problems that the Deepmind/Google folks has been solving lately with little to no fanfare.

Here is the latest example:

https://www.erdosproblems.com/forum/thread/12

Notably, Terrence Tao had this to say about that result:

“Terrence Tao: While the AI-generated argument ended up being relatively straightforward (after being cleaned up), this solution is perhaps notable for being one of the first AI-generated (partial) solutions to an Erdos problem which actually has a non-trivial amount of human literature on it that made prior partial progress but did not resolve the problem. A problem could be “low hanging fruit”, yet still have a simple solution overlooked by multiple human experts who actually spent some non-trivial amount of time thinking about the problem, to the point where they were writing entire research papers on it.“

So – simple solution, but one not found by people writing entire research papers on it.

Other labs:

The only other lab that is throwing resources into this is OpenAI.

The second+ tier labs are busy with insipid job displacement, hacking, and engagement farming.

IMHO, I’d like to see a ban on these second+ tier lab data centers until they start investing more in real scientific advancement.

Meta is back!! Meta Muse Spark ranks 4th in Artificial Analysis Index!!

What Else is Happening in AI and Tech this Weekend of April 11th 2026?

AI breakthrough cuts energy use by 100x while boosting accuracy [LINK]

GoPro to lay off 145 workers — nearly a quarter of its workforce [LINK]

Bank of England raises alarm over threat from AI ‘too dangerous to release’ [LINK]

Gen Z workers are so fearful AI will take their job they’re intentionally sabotaging their company’s AI rollout [LINK]

Amazon, Microsoft, and Google under investor pressure to disclose site-specific data center water and power consumption [LINK]

Google says Polymarket bets showing up in News was an ‘error’ | Links to bets on world events were appearing alongside legitimate news organizations [LINK]

The CIA plans to have AI “co-workers” help human spies [LINK]

Cognitive dissonance helps explain why Trump supporters remain loyal, new research suggests. This sheds light on how supporters of Donald Trump justify their continued allegiance despite learning about allegations of his sexual misconduct and illegal activities. [LINK]

In interpersonal conflicts, staying calm protects your reputation, while crying damages the reputation of your opponent alongside your own. This points to a social tradeoff where keeping your cool helps you look good, but shedding tears is more effective if you want to make other person look bad. [LINK]

A new study found a vegan Mediterranean diet significantly reduced environmental impacts related to human health (−54.5%), ecosystems (−50.9%), and resource use (−43.4%) compared to a traditional Mediterranean diet. Retail food cost was also reduced by 16.3%. [LINK]

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

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Summary: The week closes with a stark look at corporate liability and aggressive vertical integration. We perform a forensic analysis of the “Artificial Intelligence Safety Act” in Illinois, an OpenAI-backed bill seeking to shield developers from lawsuits related to catastrophic AI failures (defined as 100+ deaths or $1B+ in damage). We then pivot to enterprise strategy, deconstructing how ChatGPT’s new Upwork integration and Perplexity’s Plaid banking integration signal the death of the standalone app and the rise of the “Agentic OS.” Finally, we analyze the structural bottlenecks of the AI economy: Amazon’s defense of a $200B CapEx spend, Anthropic’s potential move into custom silicon, and the fierce debate over whether energy or logic chips will ultimately cap global AI growth.

Important Topics Covered:

• The “Catastrophic Harm” Shield: OpenAI backs Illinois legislation to limit developer liability for massive AI disasters, highlighting the multi-million dollar lobbying push by frontier labs.

• The Agentic OS: ChatGPT integrates Upwork to handle end-to-end corporate hiring, while Perplexity’s ‘Computer’ agent connects to Plaid to autonomously manage personal and corporate finance.

• The Compute Bottleneck Debate: Deconstructing the Dwarkesh Patel/Dylan Patel conversation on whether energy generation or centralized logic/memory production will throttle AI scaling.

• Amazon’s CapEx Receipts: Andy Jassy reveals AWS AI is at a $15B run rate, justifying the $200B spend and floating the external sale of Trainium chips.

• Anthropic Custom Silicon: Reuters reports Anthropic is exploring building its own AI chips to reduce reliance on Nvidia and Amazon.

• OpenAI’s $100 Pro Tier: Launching a new subscription tier explicitly designed to combat Anthropic’s pricing and cater to heavy agentic coding workflows.

Keywords: Artificial Intelligence Safety Act Illinois, OpenAI catastrophic harm liability, ChatGPT Upwork integration, Perplexity Plaid banking integration, Amazon $200B CapEx, AWS AI revenue, Anthropic custom chips, AI energy bottleneck, OpenAI $100 Pro plan, DjamgaMind, AI Executive Toolkit, AI Unraveled.

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like:

• Chatbase: Build a secure, custom AI chatbot trained exclusively on your firm’s internal data and regulatory documents. (https://link.chatbase.co/etienne-noumen)

• ElevenLabs: Transform lengthy compliance bulletins into high-fidelity “Audio Intelligence” for your team to consume on the go. (https://try.elevenlabs.io/4z7r3skyymar)

• Google Workspace: Professionalize your firm’s infrastructure with secure, cloud-based collaboration and branded communication. (https://referworkspace.app.goo.gl/Q371)

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

OpenAI wants to shield AI companies from lawsuits

• OpenAI is backing an Illinois bill called the Artificial Intelligence Safety Act that would protect AI developers from lawsuits over catastrophic harm, as long as they publish safety reports and didn’t act recklessly.

• The bill covers “critical harms” like 100 or more deaths, $1 billion in property damage, or AI-assisted weapons development, and applies to frontier models built on over $100 million in compute.

• OpenAI, Meta, Alphabet, and Microsoft spent $50 million on federal lobbying in the first nine months of 2025, while no federal law yet addresses who is responsible if AI causes large-scale disaster.

ChatGPT partners with Upwork on hiring

ChatGPT is adding another application, pushing it toward its goal of making the app an all-in-one hub.

On Thursday, Upwork launched an app for ChatGPT that allows businesses to find the talent they need directly from within the chatbot interface. For instance, a business can describe the project needs and then find and hire fitting talent, drawing from the 18 million professionals on the platform, according to the blog post.

Users can also use the app to get help with creating a job post before they are ready to move on to the Upwork Marketplace to perform tasks such as posting the job, executing compliance, issuing payments, generating contracts and more. Once in the marketplace, users can also access Uma, Upwork’s AI agent, for further help completing the more tedious tasks.

Notably, the blog post places strong emphasis on the ease this will provide users, as they can brainstorm ideas and meet their hiring needs all within ChatGPT. For example, the blog post says, “With teams turning to AI platforms as a primary place to brainstorm and initiate work, they can now find the right expertise and draft a job post in ChatGPT before moving to Upwork’s trusted platform to scope and execute projects, ensure compliance, and facilitate payments.”

Chaya Nayak, head of jobs & certification product at OpenAI, echoed that same sentiment in the post, saying, “For many people, ChatGPT is where you can explore ideas, solve problems, and move work forward.”

Both statements underline the direction ChatGPT is clearly heading: becoming a single, unified hub for all users’ needs. The applications already available through ChatGPT minimize context-switching by letting users do everything from booking trips and building apps to ordering groceries and creating designs, all in one place. That vision is reinforced by the potential launch of a super app that merges the web browser, ChatGPT app, and Codex app into a single, consolidated desktop experience.

Anthropic explores building its own AI chips

• Anthropic, the company behind Claude, is exploring the possibility of building its own AI chips as the industry faces a growing shortage of the sophisticated hardware needed to train and run new models.

• The exploration is still early — sources told Reuters that Anthropic has not yet set up a project team or put formal plans in place, though rivals Meta and OpenAI already have custom chip projects underway.

• Anthropic currently runs Claude on Amazon Trainium, Google TPUs, and Nvidia GPUs, and recently expanded a deal to tap 3.5GW of Google TPU capacity through Broadcom, expected online in 2027.

Google News now prominently features Polymarket

• Google News has started displaying Polymarket betting pages alongside real news articles, often showing them as large blocks in personalized feeds, search results, and even the home page.

• Google now lets users select Polymarket as a “source” in its News search bar, a option also available for Reddit and X but not for Kalshi, Polymarket’s main competitor.

• Critics say prediction markets deal in the language of journalism while peddling irresponsible falsehoods, and scandals like suspected insider trading on the Venezuela bet have drawn national attention.

Google rolls out Gmail end-to-end encryption on mobile

• Google has made Gmail end-to-end encryption available on Android and iOS devices, letting enterprise users compose and read encrypted emails directly in the mobile app without extra tools.

• Recipients who don’t have the Gmail app can still read encrypted messages through a web browser, and senders can encrypt emails to any recipient regardless of their email service.

• The feature requires Enterprise Plus licenses with Assured Controls add-ons and uses client-side encryption, meaning encryption keys stay outside Google’s servers to meet regulatory requirements like HIPAA.

Snap gets closer to releasing new AI glasses

• Snap is moving closer to releasing its AR glasses, called Spectacles or Specs, after announcing a new partnership with chipmaker Qualcomm to power the wearable device later this year.

• The glasses will run on Qualcomm’s Snapdragon XR platforms, which are systems-on-a-chip designed for augmented and virtual reality devices, as part of a multi-year strategic agreement.

• Snap has been developing Spectacles for over a decade, with the last consumer-facing version released in 2019, and earlier this year it spun off a separate company focused on Specs.

OpenAI launches $100 ChatGPT Pro plan

OpenAI has introduced a new $100 per month ChatGPT Pro plan, filling the gap between the $20 Plus tier and the $200 Pro tier that still exists but is no longer listed on its pricing page.

• The $100 Pro plan offers 5x more Codex coding capacity than Plus, and OpenAI openly says it is designed to compete with Anthropic’s $100 per month Claude option on price and value.

• OpenAI is temporarily offering even higher Codex limits on the $100 plan through May 31, and none of its plans provide unlimited usage, with the $200 tier giving 20x higher limits than Plus.

Nic Carter lays out his case for why Adam Back isn’t Satoshi.

The TL;DR: Nic thinks Satoshi is dead. From his article:

If Satoshi were alive today, they would have an enormous responsibility to resolve the biggest lingering problem for Bitcoin – the roughly 1.7m BTC sitting naked in “pay to public key” (p2pk) outputs, waiting to be seized by a quantum computer… This could entail the unexpected resurfacing to the market of nine percent of Bitcoin supply thought forever lost. The price impact would be catastrophic.

Recent papers from Caltech and Google suggest that the ability for quantum computing to break Bitcoin may come sooner than expected. About 9% of BTC supply, or $120 billion worth, belong to Satoshi and other wallets that are presumed to be lost. These BTC use outdated p2pk addresses which are uniquely vulnerable to quantum (and their users won’t fork to a quantum-resistant BTC when we get a fix).

“If Satoshi was alive, they would feel an overwhelming sense of duty to resolve the p2pk coins problem, either by rotating their coins to safer addresses, or burning them,” Nic wrote.

Dwarkesh sums up his conversation with Dylan Patel about why energy won’t be the main bottleneck to scaling AI compute.

In the conversation, Dylan is somewhat handwavy about the United States’ ability to harness more energy for AI. From Dwarkesh’s write-up of the discussion:

You can do jet engines bolted to the ground. Ship engines. Diesel recips from auto manufacturers with declining volumes. Fuel cells. Each category alone delivers tens of gigawatts by end of decade. Combined, hundreds… Fundamentally, there’s a lot of different ways to bring power online over the next few years. Building more logic and memory is far more difficult and centralized, so that’s where Dylan thinks the bottleneck will be.

The take proved to be pretty contrarian as far as the discourse was concerned. Jigar Shah, the Director of the U.S. Energy Department under Biden, responded by basically saying Dylan and Dwarkesh don’t understand how the power grid works. A read through the post’s quote tweets provides a really good survey of the different interpretations of which parts of the supply chain are ultimately going to be the biggest constraints on AI — there are a bunch of thoughtful takes to read through.

Andrej Karpathy says he’s seeing a growing gap in the public’s understanding of AI capability.

Everyday users of pro-tier models (e.g. $200/mo) who use them for deep research, writing, search, and advice, have been somewhat ‘left behind’ in Karpathy’s interpretation of things. While the models have continued to get better, they haven’t improved as much in these everyday tasks, so AI progress is simply less obvious to this class of users.

The second group of people Karpathy identifies are those who use frontier agentic models professionally. Andrej writes:

This group of people is subject to the highest amount of “AI Psychosis” because the recent improvements in these domains as of this year have been nothing short of staggering.

Karpathy posits a few straightforward but interesting reasons the models have improved ‘peakily’, with agentic coding advancing the most rapidly: “1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them.”

Perplexity plugs its AI agent into bank accounts

Image source: Perplexity

The Rundown: Perplexity just rolled out a new Plaid integration that lets users connect bank accounts, credit cards, and loans directly to its Computer agent, turning it into a full personal finance hub.

The details:

• Plaid’s 12K+ bank network feeds into Computer, with users able to pull in checking, credit, loan, and brokerage data for a read-only view of their money.

• The agentic system can then build customized tools like budgets, net worth trackers, debt payoff plans, and retirement dashboards via simple text prompts.

• The move comes on the heels of Perplexity’s U.S tax integration that autonomously fills out IRS forms and reviews professional-prepared returns.

• Perplexity Computer launched in late February, with the agentic pivot helping push Perplexity’s ARR past $450M in March, a 50% jump in a single month.

Why it matters: Perplexity built its name trying to out-Google Google, but it’s Computer has completely changed the trajectory. With smart connectors and a powerful AI agent, the company is suddenly competing with Mint, TurboTax, and every other app area it ends up integrating — not just search.

Jassy’s $200B Amazon AI spend now has receipts

Amazon CEO Andy Jassy shared his annual shareholder letter with the company’s first-ever AI revenue figures and a defense of the $200B planned capex, dismissing bubble talk and floating the idea of selling Trainium chips to outside buyers.

The details:

• Amazon’s $200B AI spending rattled investors this year, with Jassy’s letter firing back with first-ever revenue figures and locked-in customer demand.

• AWS’s AI arm crossed $15B in annualized revenue, a number Amazon had never disclosed — and 260x where AWS itself stood at the same point.

• The custom Trainium, Graviton, and Nitro chips crossed $20B in yearly revenue, and Amazon may sell “racks of them to third parties in the future.”

• Two unnamed AWS customers asked to buy the company’s entire Graviton chip supply for 2026, with Amazon declining to protect other clients’ access.

Why it matters: If you only tracked models as a barometer for the AI race, Amazon might look like it’s behind — but the $20B chip numbers tell a different story. Nvidia has dominated AI compute, but the supply side of the boom is finally getting real competition at exactly the moment demand has never been higher.

Oxford AI catches heart failure five years early

Image source: Lovart / The Rundown

The Rundown: Researchers at the University of Oxford introduced an AI system that picks up invisible changes in heart fat from routine CT scans, flagging patients at high risk of heart failure up to five years out — with 86% accuracy across 72K patients.

The details:

• Fat around the heart shifts texture when the muscle beneath is inflamed, with the AI reading the patterns invisible to doctors on any current scan.

• In the highest-risk bucket, 1 in 4 patients ended up with heart failure within five years — a 20x gap versus those the AI flagged as safe.

• Oxford is already working with regulators to bring the tool to National Health Service hospitals, and plans to extend it to all chest CT scans within months.

Why it matters: Heart failure’s biggest problem isn’t treatment, it’s timing. Doctors usually can’t act until damage has set in, so an 86%-accurate early warning system built into scans patients are already getting could shift the equation of a serious condition from reaction to prevention for better diagnosis and outcomes.

Gen Z doesn’t want AI, but feels they can’t resist

AI is threatening to upend the way we work, live and think entirely. And the kids are not alright.

A recent Gallup poll of 1,500 people ages 14 to 29 found that excitement around AI is down 14 percentage points from 2025, sitting at 22% of respondents. Respondents reporting feeling hopeful about AI fell nine percentage points to 18%. Anger and anxiety related to the tech, meanwhile, are on the rise, with 31% and 42% of respondents reporting those sentiments, respectively.

Though nearly half of respondents reported feeling curious about the tech, many are concerned about AI’s impact on things like creativity, critical thinking and the job market:

• Around 48% of respondents reported that the risks of AI in the workforce outweigh the benefits, compared to just 15% who reported feeling the opposite.

• Confidence in the benefits of AI has also declined, with those who agree that AI will help us work faster down 10 percentage points.

• Despite the anxiety, people are increasingly viewing AI skills as nonnegotiable: Around 52% of Gen Z students surveyed reported that they will need to know how to leverage AI in postsecondary education, up 5 percentage points from 2025. 48% reported that they believe AI skills will be a necessity in their careers.

These sentiments may match up with broader anxieties about AI in the workforce. Of the 200 readers who responded to The Deep View’s daily poll on AI fueling job loss, 48% said they were concerned that the tech was causing economic displacement.

It only makes sense that people are worried about AI job replacement. With executives under pressure to generate returns, many see cutting payroll as an adequate way to claw back some of their AI investment. A survey of executives from AI agent platform Writer published earlier this week found that 60% of enterprises intend to lay off employees who can’t or won’t use AI.

“There’s going to be an opportunity to AI wash headcount reductions this year,” Chad Seiler, KPMG U.S. Industry Leader for Telecom, Media and Technology, told The Deep View. “The ones that are saying, ‘I’m going to reduce costs,’ that’s a short-term dynamic. It probably isn’t enduring.”

What Else Happened in AI on April 10th 2026?

Spacelift Intelligence just launched, an AI infrastructure suite that helps platform teams ship infra as fast as developers code. Start for free.*

OpenAI has built a model with advanced cybersecurity skills similar to Anthropic’s Mythos, with Axios reporting the company plans to release it to a “small set of partners”.

xAI is undergoing a reorg of its engineering division, with CFO Anthony Armstrong leaving the company as SpaceX execs are installed ahead of the company’s IPO.

OpenAI launched a $100/month Pro tier with 5x more Codex usage than Plus, designed for heavy agentic coding, coming amid anger over Claude usage limits.

Florida’s attorney general opened a probe into OAI with subpoenas incoming, citing allegations that ChatGPT helped plan a campus shooting at Florida State University.

OpenAI Backs Bill That Would Limit Liability for AI-Enabled Mass Deaths or Financial Disasters [LINK]

Japan to ban gene-edited embryos aimed at creating “designer babies” [LINK]

France Launches Government Linux Desktop Plan as Windows Exit Begins [LINK]

“AI is replacing entry-level jobs faster than expected are we ready for a world with no ‘beginner’ roles?” [LINK]

The Information: SpaceX Posted Nearly $5 Billion Loss Last Year from AI Spending

WSJ: A Fiery Re-Entry Awaits the Artemis Astronauts

OpenAI says CEO Sam Altman’s house was targeted with a Molotov cocktail

CoreWeave Announces Multi-Year Agreement With Anthropic

FT: xAI sues Colorado over first state AI anti-discrimination law

WSJ: Meta Banks on AI to Clear the Smoke of Social-Media Lawsuits

OpenAI expects ad revenue to reach $102 billion by 2030

Alibaba’s new video model beats ByteDance’s Seedance

Meta will spend $21 billion on Coreweave, up from $14 billion

Anthropic reportedly considers designing its own chips

Meta is reassigning engineers to its applied AI engineering division

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Summary: The latter half of Q2 2026 brings a violent collision between software ambition and physical reality. We perform a forensic analysis of Amazon CEO Andy Jassy’s shareholder letter, defending a $200 billion capex spend while revealing AWS AI revenue has hit a $15 billion run rate. We contrast this with OpenAI pausing its Stargate UK data center due to prohibitive energy costs and regulatory friction. We also deconstruct Meta’s strategic pivot away from open-source with the launch of “Muse Spark,” their new proprietary model from Superintelligence Labs. Finally, we look at Anthropic simplifying the B2B backend with “Managed Agents,” SiFive’s $400M raise to challenge Arm in chip design, and Perplexity hitting a massive $450M ARR.

This episode is made possible by our sponsors:

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Important Topics Covered:

• Andy Jassy’s $200B Defense: Amazon’s 2026 shareholder letter reveals AWS AI revenue at a $15B run rate and custom chips (Trainium/Graviton) crossing $20B.

• The Energy Wall: OpenAI pauses the UK Stargate data center due to exorbitant power costs and regulatory delays, showcasing the physical limits of scaling compute.

• Meta’s Proprietary Pivot: Alexandr Wang’s Superintelligence Labs ships “Muse Spark,” abandoning Meta’s Llama open-source ethos for a closed, monetizable frontier model.

• Anthropic’s Managed Agents: The launch of a $0.08/hr managed backend for enterprise agents, allowing companies like Notion and Rakuten to bypass complex engineering pipelines.

• The Pentagon Blacklist Stands: A federal appeals court upholds the DOD’s blacklisting of Anthropic, citing military security priorities over corporate financial harm.

• Perplexity & SiFive Cash In: Perplexity reaches $450M ARR on usage-based pricing, while SiFive raises $400M at a $3.65B valuation to challenge Arm’s chip design dominance.

Keywords: Andy Jassy shareholder letter, Amazon $200B capex, AWS AI revenue run rate, OpenAI Stargate UK paused, AI energy constraints, Meta Muse Spark, Alexandr Wang Superintelligence Labs, Anthropic Managed Agents, SiFive funding, Perplexity $450M ARR, DjamgaMind, AI Executive Toolkit, AI Unraveled.

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Meta reenters the AI race with Muse Spark: Superintelligence Labs ships its first model

• Meta has released Muse Spark, the first model from its new Superintelligence Labs division, marking the company’s return to the frontier AI race after a quiet stretch.

• Unlike previous Llama models, Muse Spark isn’t open-weight and can’t be run locally, though Meta says it has plans to open-source future versions of its AI models.

• Independent testing by Artificial Analysis ranked Muse Spark in the top 5 on its Intelligence Index, but the model still trails competitors from OpenAI and Anthropic on agent-based tasks.

• Muse Spark handles voice, text, and image inputs, with a contemplating mode that pits multiple agents against each other on hard problems.

• The model’s benchmarks are competitive with frontier rivals like Opus 4.6 and GPT 5.4 on reasoning, though it lags in coding and tests like ARC-AGI 2.

• Muse Spark is particularly strong in health reasoning, with the company prioritizing the area as part of its ‘personal superintelligence’ mission.

• Unlike the Llama family, Muse Spark is proprietary, with Meta saying it hopes to open-source future versions but has not committed to a timeline.

• Wang took over Meta Superintelligence Labs 9 months ago after Zuck acquired Scale AI for $14.3B, saying the team “rebuilt our AI stack from scratch”.

Why it matters: Meta is back in the game. While still sitting below the top models, Muse Spark is a serious change from where Meta sat with its Llama family. It may not break the internet, but with tons of resources, valuable data across its platforms, and billions of users, Meta’s AI efforts just took a step in the right direction.

Anthropic simplifies the agent-building system

Image source: Anthropic

Anthropic opened a public beta for Claude Managed Agents, a new platform that lets developers go from an agent idea to a live product in days — handling all the backend plumbing that used to take engineering teams months to set up.

The details:

• Users pick the task, tools, and guardrails, with Managed Agents handling running, securing, and controlling what the agentic system can access.

• Agents can work solo for hours without dropping state, with a coordination mode also in preview, letting one agent farm out subtasks to others.

• Notion, Rakuten, Asana, and Sentry are early adopters, with Rakuten reportedly setting up agents across five departments in about a week each.

• Each agent session costs $0.08 per hour on top of the usual AI usage fee, with users paying based on consumption instead of upfront platform fees.

Why it matters: Anthropic continues to roll out features that eat away at the complexities of users getting the most out of their models and tools. Managed Agents now does the same, simplifying the agentic building process and making it possible for anyone to deploy and control agents without the typical backend headaches.

Andy Jassy defends Amazon $200B spending spree

• Amazon CEO Andy Jassy wrote a shareholder letter defending the company’s planned $200 billion in capital spending for 2026, arguing the investments are backed by real customer demand, not guesses.

• Jassy disclosed that AWS’ AI revenue has reached a $15 billion annual run rate, and Amazon’s internal custom chips business is generating over $20 billion a year in value.

• Amazon may sell its Trainium AI chip racks and robotics solutions to outside customers, following the company’s pattern of building tools internally and then offering them as external services.

Tesla is developing a new smaller, cheaper EV

• Tesla is working on a new smaller, cheaper electric SUV that would be a distinct model from the existing Model 3 and Model Y, according to four people familiar with the matter.

• The compact SUV would be about 14 feet long, weigh roughly 1.5 metric tons, use a smaller battery with shorter range, and cost substantially less than the $34,000 entry-level Model 3 in China.

• The project is in early development with production planned for Tesla’s Shanghai factory, though timing is unclear, and the company has a history of starting vehicles that end up delayed or canceled.

Meta removes ads for social media addiction litigation

• Meta started taking down advertisements from lawyers seeking clients who say they were harmed by social media as minors, blocking plaintiff recruitment tied to social media addiction litigation.

• The move comes two weeks after Meta and YouTube were found negligent in a landmark California case, prompting law firms like Morgan & Morgan to run ads on Facebook and Instagram.

• Meta cited its terms of service, saying it will not allow trial lawyers to profit from its platforms while simultaneously claiming they are harmful, and is actively defending against these lawsuits.

Appeals court keeps Pentagon blacklisting of Anthropic in place

• A federal appeals court in Washington, D.C., denied Anthropic’s request to temporarily block the Department of Defense’s blacklisting of the AI company while its lawsuit challenging that decision moves forward.

• The court said the equitable balance favors the government, noting Anthropic faces “relatively contained” financial harm while the DOD is securing AI technology during an active military conflict.

• A separate federal judge in San Francisco last month granted Anthropic a preliminary injunction barring the Trump administration from enforcing a ban on the use of Claude.

OpenAI pauses Stargate UK over energy costs

• OpenAI has paused its Stargate data center project in the UK, pointing to high energy costs and regulatory burdens as the main reasons it cannot commit to long-term infrastructure investment.

• The project, announced last September with Nvidia and Nscale, was tied to the UK’s AI Growth Zone plan, which aimed to create 5,000 jobs and attract £30bn in private investment.

• Stargate’s $500bn US effort is already training AI systems at its Texas facility, with additional projects underway in the UAE and Norway, funded by OpenAI, Oracle, MGX, and SoftBank.

Meta’s internal leaderboard ranks employees by AI token consumption…are we measuring the wrong thing?

A Meta employee built a leaderboard on the company intranet called “Claudeonomics” that ranks token usage across 85k employees. top 250 get ranked. You earn titles like “Token Legend” and “Session Immortal.” 60 trillion tokens burned in 30 days.

It’s not an official thing, but leadership has been pushing hard on AI adoption. But it feels like measuring lines of code written… Volume without outcome tracking is just expensive noise. This cannot be what “good usage” looks like.

Meta pulls ads for anti-Meta law firms:

The Instagram and Facebook owner has been on the losing end of some pretty major legal decisions of late. Most notably, a jury in Los Angeles found the company (along with YouTube) liable for a young woman’s addiction to their products, which exacerbated her mental health struggles. That case set a dangerous precedent for Team Zuck, with law firms now scrambling to develop litigation of their own against the deep-pocketed corporation. Many of these lawyers and firms have been recruiting potential new clients on Meta platforms, of all places. The company put a stop to that this week, removing hundreds of Facebook and IG ads for trial lawyers and marketing companies building class action suits against them. In a statement, Meta explained “we will not allow trial lawyers to profit from our platforms while simultaneously claiming they are harmful.”

Gen Z uses, detests AI:

A new poll from Gallup, ed tech VC firm GSV Ventures, and the Walton Family Foundation (yes, the Walmart Waltons) once more confirms what many other surveys have suggested: Americans are using AI products but aren’t super-happy about it. The number of respondents between 14 and 29 who said they felt “hopeful” about AI was down to 18%, from 27% just a year ago. Nearly a third said that AI makes them feel “angry.” This comes just two weeks after Quinnipiac found that, while 51% of Americans use AI to research topics they’re curious about, 76% said they can trust AI “hardly ever” or only “some of the time.” Quinnipiac found that 35% of Gen Z’ers were “very concerned” about AI’s advancement, while 43% were “somewhat concerned.” These young adults are the exact people AI companies need to adopt their products en masse in order to recoup all of these capital expenditures on energy and compute, so this will be an important trend line to reverse at some point.

SiFive raises $400M:

The AI chip company doesn’t actually manufacture anything. They sell designs and blueprints for new chip concepts to customers like Alphabet/Google. This sector was once largely dominated by the UK’s Arm Holdings, but as they’ve now pivoted over to producing chips of their own — making themselves a rival to many of their best customers — startups like SiFive have spotted a potential opening. The company raised a $400M round at a $3.65 billion valuation. CEO Patrick Little told Reuters he anticipates this will be their last funding round before an IPO.

Andy Jassy Resets AI Narrative

The AI lab horse race continues to volley back and forth every day. Anthropic’s Mythos Preview and Project Glasswing launching on Tuesday, quickly followed by news today that OpenAI also plans to deliver a model with advanced cybersecurity capabilities to key internet infrastructure providers. There’s still debate over how and when these models will roll out to broader audiences. I think this will be an ongoing trend. Cybersecurity is a perfect fit for powerful AI coding agents, and staged releases make sense to allow critical systems to patch vulnerabilities that get exposed by new models. I wouldn’t be surprised to see something similar happen in biosafety, if a powerful model becomes capable of designing a harmful virus, it certainly makes sense to share that with the scientific community through trusted partnerships first, then make sure that capability is carefully under control before releasing a version of the model that can still help you learn about biology broadly.

Andy Jassy zoomed out for his latest 2025 Letter to Shareholders, talking about how AWS followed lots of squiggly lines to get where the company is today.

The original vision included storage, compute, payments, and human intelligence. Some of those (e.g. storage and compute) became lynchpins in AWS. Others didn’t succeed. We didn’t initially plan a database service; and when we built one, our first attempt failed to get traction. We went back to the drawing board and built new relational and non-relational database services, which have resonated well and become core to millions of AWS applications. When we launched EC2 (our compute service), it was a single instance type in one availability zone, Linux-only, with no auto-scaling, load balancing, block storage, or private networking.

Jassy has ramped Amazon capex significantly for good reason, he said: “We’re not investing approximately $200 billion in capex in 2026 on a hunch, AI is a once-in-a-lifetime opportunity where the current growth is unprecedented and the future growth is even bigger.”

He does a great job contextualizing the speed of AI growth by calling back to Thomas Edison. “When Edison opened his first commercial power station in 1882, most people understood it as a better way to light a room. What they couldn’t see was that electricity would eventually reorganize every factory, home, and industry on Earth. AI may have comparable impact. The difference is that electricity took 40 years to get where it was going. AI appears to be moving ten times faster.”

He backs this up by comparing the scale of AI revenue at Amazon to the original launch of AWS. Three years after AWS launched, it had a $58 million revenue run rate. AWS’s current AI revenue run rate is over $15 billion for Q1 2026. Three years after the real start of the AI boom. This is nearly 260 times larger than the AWS growth curve, a testament to the multiplicative power of AI deploying across robust internet and cloud infrastructure.

The AI boom will naturally require a whole lot more infrastructure, and Amazon is “smack in the middle of this land rush” as Jassy puts it. AWS added 3.9 gigawatts of new power capacity in 2025 and expects to double total power capacity by the end of 2027.

Jassy argues (convincingly in my opinion) that every customer experience will be reinvented in the coming years by AI. They aren’t on the frontier of every trend, but have been investing for years in nearly every important category across custom silicon, satellite internet, robotics, same-day delivery, and rural expansion.

What Else Happened in AI on April 09th 2026?

Elon Musk amended his OAI lawsuit to redirect all damages to the nonprofit arm and push Altman off its board, with OAI calling it “a harassment campaign.”

Perplexity hit $450M in estimated annual recurring revenue after a 50% monthly jump, driven by its Computer agentic system and usage-based pricing model.

Elon Musk revealed that xAI has seven new models currently in training on its Colossus 2 supercomputer, including massive 6T and 10T parameter systems.

Canva acquired Simtheory and Ortto, adding agentic AI workspace tools and marketing automation to its platform as it pushes end-to-end campaign workflows.

Jeff Bezos’ secretive AI startup Prometheus poached Kyle Kosic, a former xAI co-founder who led the infrastructure team before leaving the startup for OAI in 2024.

OpenAI published a child safety policy blueprint pushing for updated U.S. laws on AI-generated CSAM, stronger reporting, and built-in safeguards to prevent exploitation.

White-collar workers are quietly rebelling against AI as 80% outright refuse adoption mandates. [LINK]

Microsoft begins removing Copilot from Windows 11, starting with Notepad, Snipping Tool. [LINK]

Reuters: Amazon to stock Lilly’s new weight-loss pill at US kiosks, offer same-day delivery

Reuters: Florida AG opens probe into OpenAI ahead of potential IPO

Bloomberg: Anthropic Completes Tender Offer, But Employees Hold Onto Shares

WSJ: Amazon CEO Presses His Case for Big AI Spending

The Information: Anthropic’s Revenue Growth Suggests OpenAI Is Overvalued

Pirate Wires: Trump to the FAA: Build Me ‘Flying Cars’

Bloomberg: AI-Driven Demand for Gas Turbines Risks a New Energy Crunch

FT: Arm chief Haas in line to lead much of SoftBank’s international business

Nic Carter: One simple reason why I think Satoshi is no longer with us

Aisle: AI Cybersecurity After Mythos: The Jagged Frontier

General Reasoning releases KellyBench, a new long-horizon evaluation for frontier models

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts at https://djamgamind.com

Summary: In this edition, we explore the stark reality of living in an automated economy. We deconstruct a massive new survey showing 60% of companies plan to lay off non-AI users, creating a toxic “dual-class” structure of AI elites and disposable humans. We analyze the tragic new FBI cybercrime data showing $21 billion stolen from Americans last year, with AI deepfakes driving nearly a billion dollars of theft targeting the elderly. We also discuss Anthropic’s ‘Mythos’ model, which is deemed too dangerous for public release, and the harsh truth that Google’s AI is hallucinating incorrect answers 10% of the time—feeding millions of lies into the public consciousness daily.

Important Topics Covered:

• The Workplace Purge: 60% of C-Suite executives plan to lay off employees who resist AI, while 92% cultivate a protected “AI elite,” masking deep executive anxiety over missing ROI.

• The FBI Scam Report: AI voice cloning and deepfakes accounted for nearly $1 billion of the $21 billion lost to cybercrime last year. Demographic data shows Americans over 60 were disproportionately devastated, losing $7.7 billion.

• Anthropic’s Mythos Danger: Why the new Claude Mythos model is considered too dangerous for public release after it autonomously found 27-year-old bugs in critical software.

• Google’s 10% Error Rate: A New York Times study proving Google AI Overviews are wrong 10% of the time, resulting in tens of millions of incorrect answers delivered to the public every day.

• Browser Fatigue: Google Chrome adds vertical tabs (popularized by Arc) and a new reading mode to help humans navigate the heavily cluttered, ad-stuffed web.

This episode is made possible by our sponsors:

🛑 AIRIA: Secure your AI workforce. AIRIA unifies orchestration, security, and governance into a single command center, using micro-VM sandboxing to protect sensitive data from agentic goal-hijacking. 👉 Govern your agents: [LINK]

🎙 DjamgaMind: High-Fidelity Intelligence for the C-Suite. If you are a modern decision-maker, DjamgaMind delivers strategic audio forensics in Healthcare, Energy, and Finance. Stop reading headlines and start understanding the systemic impact with our human-verified, technical-grade analysis. 👉 Explore the Forensics: https://DjamgaMind.com/regulations

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like:

• Chatbase: Build a secure, custom AI chatbot trained exclusively on your firm’s internal data and regulatory documents. (https://link.chatbase.co/etienne-noumen)

• ElevenLabs: Transform lengthy compliance bulletins into high-fidelity “Audio Intelligence” for your team to consume on the go. (https://try.elevenlabs.io/4z7r3skyymar)

• Google Workspace: Professionalize your firm’s infrastructure with secure, cloud-based collaboration and branded communication. (https://referworkspace.app.goo.gl/Q371)

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Anthropic’s Project Glasswing shows off Mythos AI

Anthropic introduced Project Glasswing, a cybersecurity coalition with AWS, Apple, Google, Microsoft, Nvidia, and 7 other partners built around Claude Mythos Preview, a new unreleased frontier AI with extremely powerful capabilities.

The details:

• Mythos flagged thousands of security flaws across every major OS and browser, including bugs that survived 27 years of review and millions of scans.

• Its benchmarks show big improvements over both Opus 4.6 and other frontier rivals across coding, reasoning, and nearly every other domain.

• The model will not be released publicly, instead limiting access to 12 launch partners and 40+ other orgs for defensive security backed by $100M in credits.

• Anthropic’s Sam Bowman called it “an uneasy surprise” after Mythos emailed him from a test instance that wasn’t supposed to have internet access.

• Mythos was the subject of leaks after a blog draft was found in unpublished files last week, with Anthropic using the model internally since February.

Why it matters: If you ever wonder what type of models the top labs have under wraps, Mythos is a nice preview of the answer. Anthropic thinks it’s so powerful it won’t even release it publicly, instead giving time for the company (and its group of partners) to work on cybersecurity and safety rollouts for future Mythos-level general models.

Open-source AI pushes forward with Z AI’s GLM-5.1

Image source: Zhipu AI

Chinese AI lab Z AI just released GLM-5.1, a new open-source coding model that competes with frontier rivals on coding benchmarks and is built for marathon autonomous sessions of up to 8 hours straight.

The details:

• GLM-5.1 hit 58.4 on SWE-Bench Pro, topping both GPT-5.4 and Opus 4.6 and marking a rare moment for open source at No. 1 on a top coding benchmark.

• Z AI also said the model can “stay effective on agentic tasks over much longer horizons”, showing strong results over longer, complex problems.

• In tests, Z AI had GLM-5.1 build a working Linux desktop as a web app over 8 hours, including a file browser, terminal, and games, without human guidance.

• The model also shows top performance in Arcada Labs’ Design Arena, coming in second for creative web design after Claude Opus 4.6.

Why it matters: Top Chinese labs continue to be on the tail of the frontier, with GLM-5.1 showing the strongest coding yet — along with long-horizon task capabilities that the company said are the “most important curve after scaling laws”. An open-source model with this coding performance says a lot about how fast the gap is closing.

Anthropic’s new AI model is too dangerous to release publicly

• Anthropic announced a new AI model called Claude Mythos Preview that it considers too dangerous for public release because it can autonomously find and exploit serious software vulnerabilities across major operating systems and browsers.

• The model already discovered thousands of zero-day vulnerabilities, including a 27-year-old flaw in OpenBSD and a 16-year-old bug in FFmpeg that automated testing tools had missed after five million runs.

• Anthropic launched Project Glasswing with twelve partners including Apple, Google, Microsoft, and CrowdStrike, committing $100 million in credits and $4 million in donations to help defenders patch flaws before adversaries develop similar tools.

Anthropic continues to rise, locks in 3.5GW compute

Image source: Anthropic

Anthropic signed a multi-gigawatt compute deal with Google and Broadcom, locking in 3.5GW of TPU capacity for 2027, while also sharing new surging revenue numbers and enterprise growth despite its battle with the U.S. government.

The details:

• Since January, Anthropic’s run-rate revenue tripled to $30B, and its $1M+ enterprise customer base doubled to 1,000+, forcing the compute expansion.

• Broadcom will supply 3.5GW of Google’s TPUs starting in 2027, nearly all US-based — adding to the $50B Anthropic pledged for domestic AI buildout.

• The revenue projections put the company ahead of rival OpenAI’s recent report of $2M / month in revenue, while both race towards an IPO.

• The growth also comes despite the Pentagon labeling Anthropic a supply-chain risk, a move the company says rattled over 100 enterprise clients.

Why it matters: Tripling run-rate revenue while facing the Pentagon is quite the move, and shows demand for Claude is still off the charts, even if the U.S. government is blacklisting it. But given the recent rate limit issues, more compute is certainly a welcome sight — especially with behemoth models like Mythos waiting in the wings.

AI-based layoffs are a sign you’re doing it wrong

Experts are warning against cutting jobs in favor of AI. But companies are going to try anyway.

A survey of 2,400 C-suite leaders published by AI agent platform Writer on Tuesday found that 60% of enterprises intend to lay off employees who can’t or won’t use AI. AI is also spurring favoritism, with 92% of executives surveyed admitting that they are cultivating a class of “AI elite” employees, and 77% of executives claimed that those who don’t use AI won’t be considered for promotions.

The severity towards employees who resist AI might be driven by their own anxiety:

• 38% of CEOs interviewed reported experiencing high levels of stress related to their AI strategies, and 64% feared losing their position if they failed to properly guide their employees through the AI transition.

• “Executives, who are so crippled by anxiety around not having delivered any results [with AI], are clinging to the AI-first people in their companies [and] creating a dual class structure,” May Habib, CEO of Writer, told The Deep View’s Jason Hiner.

• Though these executives believe that AI can supercharge work, with 87% claiming their “power users” are five times more productive on average, the actual returns are still miles behind: only 29% report significant returns from generative AI and 23% from agents.

Because these companies have yet to reap what they sowed, many are turning to the one surefire place that they can save a few bucks fast: payroll. Additionally, many companies will likely “AI wash” their headcount reductions, making the bloodbath look even larger, Chad Seiler, KPMG U.S. Industry Leader for Telecom, Media and Technology, told The Deep View.

The gains made from cutting staff and replacing them with AI, however, are temporary, said Seiler. “The losers are going to be the ones that figure out how to eliminate jobs,” he said. “It’s not going to be durable. As businesses grow, people continue to hire, and so you’re going to have to backslide into hiring more people.”

The durable strategy comes when roles are reimagined, rather than eliminated, said Seiler. If agents can handle all of the grunt work, whether it be cluttered or administrative tasks or data analysis, it could open up brain space for employees to do much more high-value work. To be clear, time is money.

“People on the winning side of this are going to be [asking], how do I free up more time for my people, so they can add more value to my organization?” said Seiler. “Versus ‘I cut 12% of my people through automation.’ That’s not a winning strategy for any company, especially if you’re a growth-oriented company that has anything to do with innovation.”

FBI reports record $21 billion lost to cybercrime last year

• The FBI says Americans lost a record $21 billion to cybercrime in 2025, a 26% increase from the previous year, driven by investment scams, business email compromise, tech support fraud, and data breaches.

• For the first time, the FBI’s report includes AI-related scams — covering voice cloning, fake profiles, forged documents, and deepfake videos — which accounted for 22,300 complaints and $893 million in losses.

• Americans over the age of 60 were hit the hardest, reporting $7.7 billion in losses, while cryptocurrency-related cybercrime caused the largest overall loss category, exceeding $11 billion across 181,565 cases.

NYT claims it has identified the inventor of bitcoin

• The New York Times published an investigation by journalist John Carreyrou arguing that British cryptographer Adam Back, who invented Hashcash, is the most likely person behind Bitcoin creator Satoshi Nakamoto.

• The report relied on stylometric analysis, noting that Back uniquely hyphenated “proof-of-work” and referenced the obscure Russian currency WebMoney, both appearing in Satoshi’s emails, though Carreyrou admitted this is not definitive proof.

• Back has consistently denied being Satoshi, and the crypto community has been skeptical, with Casa co-founder Jameson Lopp saying Nakamoto “can’t be caught with stylometric analysis.”

Google Chrome adds vertical tabs

• Google Chrome is now adding vertical tabs, a feature popularized by the Arc browser, letting users move their tabs to the side of the window for easier reading of page titles.

• Users can enable the option by right-clicking on a Chrome window and selecting “Show Tabs Vertically,” and there is no hard limit on how many tabs can be opened.

• Chrome is also rolling out a refreshed Reading Mode with a full-page interface designed to reduce on-screen clutter, arriving as news sites have become packed with ads and newsletter prompts.

Google AI Overviews delivers wrong answers 10% of the time

• A new analysis from The New York Times found that Google AI Overviews delivers wrong answers about 10 percent of the time, which translates to tens of millions of incorrect answers per day across all searches.

• The study was conducted with startup Oumi using OpenAI’s SimpleQA evaluation, a list of over 4,000 questions with verifiable answers, and showed accuracy improved from 85 to 91 percent after the Gemini 3 update.

• While a 91 percent accuracy rate sounds decent, the sheer scale of Google searches means that even a small error rate produces hundreds of thousands of lies going out every minute of the day.

Meta drops Muse Spark model:

Recall months ago, when Meta notably hired away a number of top AI researchers — including Scale AI’s Alexandr Wang — to join its covert Superintelligence team? The group just released their very first actual product, an AI model known as Muse Spark. It’s going to take over powering the Meta AI chatbot, but perhaps even more notably, it’s a closed model (meaning the company is keeping the design and code to itself). That’s a strategic pivot for Meta AI, which has long focused on its Llama family of open-source models. After investing $14 billion into Scale AI as a means of luring over Wang, the company presumably has to start earning that cash back SOMEhow. On today’s pod, Alex suggested that — based on discussions with Wang — the company plans to release the model via API for use in third-party harnesses and agentic systems like OpenClaw.

Perplexity hits $450M in ARR

The AI company designs platforms and products that bring together a variety of different AI models, rather than training and tooling models of its own. Now, the Financial Times suggests that they hit $450 million in March, growing at more than double the rate of the previous quarter. FT suggests that the pivot away from search and toward Computer — Perplexity’s agentic workspace — along with a shift to a use-based pricing model has given the company a major boost. Their user base reportedly now exceeds 100 million.

Patlytics is Harvey for patent law

Now that legal AI startup Harvey has hit an $11 billion valuation, perhaps it was inevitable that other companies would start popping up producing their own hyper-specialized takes on the concept. Enter Patlytics, which automates the full “getting a patent” process, from filling out paperwork to litigating on behalf of your intellectual property. The company raised a fresh $40 million Series B round led by SignalFire. Co-founder Paul Lee tells Business Insider that they’re not actually gunning for Harvey directly. In fact, he sees a Harvey subscription as a strong signal that a potential customer has a budget and “pro-AI” sentiment.

What Else happened in AI on April 08th 2026?

A new mystery model named ‘HappyHorse-1.0’ debuted at No .1 on Artificial Analysis’ video leaderboards, surpassing ByteDance’s viral Seedance 2.0.

OpenAI, Google, and Anthropic are cooperating on identifying and limiting Chinese rivals from distilling their systems, sharing info via a “Frontier Model Forum” non-profit.

Microsoft’s Bing team open-sourced Harrier, a SOTA embedding model for search and retrieval that supports 100+ languages and powers its AI agent grounding service.

Intel announced that it is joining Elon Musk’s recently unveiled Terafab project, saying the company will “help accelerate Terafab’s aim to produce 1 TW / year of compute”.

Clico: A browser extension that pulls context from your open tabs and writes right at your cursor, without ever leaving the page. (sponsored)

Acrobat Student Spaces: Adobe has launched a suite of AI-powered Acrobat tools for students, allowing students to create quizzes and presentations from study materials.

Google AI Enhance: Google Photos now allows android users to enhance photos using AI, rolling out to users gradually.

Marble: World Labs has rolled out two new updates to its flagship model, including Marble 1.1 for better lighting and contrast, and Marble 1.1-Plus for scaling environments.

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts

Important Topics Covered:

• Anthropic’s B2B Dominance: Hitting a $30B ARR, with over 1,000 businesses spending >$1M annually, and locking in multiple gigawatts of Google Cloud TPU capacity by 2027.

• Project Glasswing: Anthropic giving unreleased ‘Mythos’ access to Broadcom, Cisco, CrowdStrike, and JPMorgan to harden critical cybersecurity infrastructure.

• The OpenAI Expose & Social Contract: Deconstructing the New Yorker piece featuring Ilya Sutskever’s memos, alongside Altman’s push for a 4-day workweek and sovereign AI wealth fund.

• Intel Joins Terafab: The $25B semiconductor complex in Texas partnering Intel, Tesla, SpaceX, and xAI to produce 1 terawatt of compute capacity annually.

• Nvidia’s 5-Layer Infrastructure Cake: Why Nvidia argues AI is the new electricity, segmented into Energy, Chips, Infrastructure, Models, and Applications.

• Meta’s “Tokenmaxxing”: Inside the bizarre “Claudeonomics” leaderboard where Meta employees burned 60 trillion tokens in 30 days without proving ROI.

• Corporate Liability: Target formally shifting the legal burden of AI shopping assistant errors onto its customers.

This episode is made possible by our sponsors:

🛑 AIRIA: Secure your AI workforce. AIRIA unifies orchestration, security, and governance into a single command center, using micro-VM sandboxing to protect sensitive data from agentic goal-hijacking. 👉 Govern your agents: [LINK]

🎙 DjamgaMind: High-Fidelity Intelligence for the C-Suite. If you are a modern decision-maker, DjamgaMind delivers strategic audio forensics in Healthcare, Energy, and Finance. Stop reading headlines and start understanding the systemic impact with our human-verified, technical-grade analysis. 👉 Explore the Forensics: https://DjamgaMind.com/regulations

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like:

• Chatbase: Build a secure, custom AI chatbot trained exclusively on your firm’s internal data and regulatory documents. (https://link.chatbase.co/etienne-noumen)

• ElevenLabs: Transform lengthy compliance bulletins into high-fidelity “Audio Intelligence” for your team to consume on the go. (https://try.elevenlabs.io/4z7r3skyymar)

• Fireflies.ai: Automate your meeting forensics by transcribing and extracting action items from your clinical consultations and board meetings. (https://fireflies.ai/?fpr=etienne62)

• Google Workspace: Professionalize your firm’s infrastructure with secure, cloud-based collaboration and branded communication. (https://referworkspace.app.goo.gl/Q371)

Full toolkit at: https://djamgamind.com/toolkit

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

$30B ARR shows Anthropic’s strategy is working

While rivals zigged, Anthropic zagged, and the bet keeps paying off.

On Monday, the company announced that its revenue run-rate, or its financial forecast based on current performance, has surpassed $30 billion. This figure is nearly triple the run rate at the end of 2025, which came in at $9 billion, and double that of mid-February, which the company reported was $14 billion. By the end of February, CEO Dario Amodei confirmed annual revenue had exceeded $19 billion.

This exponential growth results from an equally notable increase in customer demand. In February, Anthropic disclosed that over 500 business customers were spending over $1 million, and now reports that the number exceeds 1,000 businesses, representing a two-fold growth in less than two months.

The rapid growth can be mostly attributed to Anthropic’s laser focus on enterprise. For instance, Claude Code, a go-to coding tool for many developers, alone generated a run-rate revenue of over $2.5 billion by February.

In that same month, weekly active users have also more than doubled since January 1, and business subscriptions to Claude Code have quadrupled since the beginning of 2026. Those figures are likely much larger now. This success has allowed the company to bridge the gap with the much bigger OpenAI, despite the company kick-starting the AI race as we know it.

At the end of February, OpenAI topped $25 billion in annualized revenue, according to a report from The Information, citing a person familiar with the figure, representing a 17% increase from the annualized revenue it generated at the end of the year. The comparison isn’t perfectly apples-to-apples, as the two companies use different methods to calculate revenue, as noted by the WSJ. But with an IPO in the works, the ChatGPT maker has recently made moves to pivot towards enterprise, just like Anthropic.

Last month, it shut down its Sora generative AI video platform, ended its $1 billion content partnership with Disney, and put its ChatGPT “adult mode” on hold, all while OpenAI CTO Sarah Friar acknowledged that enterprise “is a very profitable business at scale” and that it’s how OpenAI will “build a sustainable business model.”

To meet growing demand and scale up the computing it needs to power it, Anthropic also announced an expansion of its existing partnership with Google Cloud and Broadcom by signing a new agreement. The resulting multiple-gigawatt TPU capacity is expected to come online beginning in 2027, according to the blog post.

OpenAI’s new ‘social contract’ ideas for society, ASI

Image source: OpenAI

OpenAI just published a 13-page policy document with ideas to help society navigate superintelligence and its societal impacts, asking Washington to tax AI-driven profits, create a wealth fund, implement a 4-day workweek, and more.

The details:

• The proposal said we are “beginning a transition toward superintelligence”, with Altman telling Axios the moment requires a new “social contract” for society.

• The most aggressive idea: a sovereign-style fund seeded by AI firms that would pay dividends to every American, as Alaska does with oil revenue.

• Other ideas include taxes on robot labor, a 4-day workweek, “Right to AI” access for all, and containment playbooks for rogue autonomous AI.

• Axios called it “the most detailed blueprint any tech titan has ever published for how to tax, regulate, and redistribute wealth from the technology he’s building.”

Why it matters: The CEO of an $852B company is asking the U.S. to prepare for a future where his own tech breaks the economic system — and you don’t make that pitch unless you believe it’s actually coming. But with the way things are moving, coupled with the slow-moving gears of the government, the clock is ticking.

New Yorker surfaces memos behind Altman’s firing

Image source: The New Yorker

The New Yorker published an investigation into Sam Altman, drawing on 100+ interviews, unseen memos from ex–chief scientist Ilya Sutskever, and notes from Dario Amodei — alleging a long-running pattern of deception at the top of OpenAI.

The details:

• The reporting spans Altman’s full career arc, including conflicts at his startup Loopt, Y Combinator partners trying to push him out, and the OAI board drama.

• Sutskever’s memos, built from 70 pages of Slack messages and HR docs, allege Altman misrepresented safety protocols to the board.

• Amodei’s private notes, kept for years, reach the same conclusion as Sutskever independently: “The problem with OpenAI is Sam himself.”

• A Microsoft exec told the reporters there’s “a small but real chance” Altman is “remembered as a Bernie Madoff, Sam Bankman-Fried-level scammer.”

Why it matters: While there is no ‘smoking gun’ in this piece, there is a vastly detailed and concerning pattern of deception that seems to span across Altman’s career. But for every detractor, you also have fiercely loyal supporters and coworkers – making the CEO of the nearly trillion-dollar AI giant one of the most polarizing figures in the world.

Meta to open-source new AI models

• Meta plans to release open-source versions of its next-generation AI models, which are derived from two proprietary frontier models codenamed Avocado and Mango expected to launch this year.

• The open-source versions won’t include all features found in the closed-source editions, possibly lacking certain neural networks, having smaller parameter counts, or skipping post-training steps.

• AI safety is reportedly one reason Meta will hold back features, and the company does not expect its upcoming models to beat competitors like Anthropic and OpenAI across the board.

Intel joins Elon Musk’s $25B Terafab AI chip project

• Intel has officially joined Elon Musk’s Terafab project, a $20–25 billion semiconductor complex planned for Austin, Texas, partnering alongside Tesla, SpaceX, and xAI to build chips at scale.

• The facility aims to produce 1 terawatt per year of compute capacity by manufacturing edge-inference processors for Tesla’s FSD systems and radiation-hardened chips for SpaceX satellites and xAI.

• Intel CEO Lip-Bu Tan hosted Musk at Intel facilities before the announcement, and the company will contribute its process technology, high-volume fabrication, and packaging expertise to the project.

Anthropic doubles down on Google Cloud TPUs

• Anthropic announced an expanded partnership with Google Cloud, securing access to multiple gigawatts of TPU capacity to train and run its AI models starting in 2027.

• The deal delivers Google’s Tensor Processing Units through Google Cloud infrastructure with hardware from Broadcom, giving Anthropic enormous compute for its Claude family of AI systems.

• Anthropic is also adopting Google Cloud tools like BigQuery, Cloud Run, and AlloyDB, while thousands of companies already access Claude models through Google Cloud today.

Meta employees compete on internal AI usage leaderboard

• Meta has an internal leaderboard called “Claudeonomics” where employees compete to consume the most AI tokens, tracking usage across more than 85,000 workers on the company intranet.

• Employees burned through 60 trillion tokens in just 30 days, with the top user averaging 281 billion, though some simply leave AI agents running for hours to pad their numbers.

• Despite Silicon Valley treating “tokenmaxxing” as a productivity metric, nobody has put up hard numbers proving that high token consumption actually translates into real business results or revenue gains.

Anthropic is giving some firms access to Claude Mythos to bolster cybersecurity defenses

Anthropic is giving a group of Big Tech and cybersecurity firms access to a preview version of Claude Mythos—its unreleased and most advanced AI model—in an attempt to bolster cybersecurity defenses across some of the world’s most critical systems.

The company has been concerned that the new model may pose unprecedented cybersecurity risks and increase the likelihood of large-scale AI-driven cyberattacks this year.

The initiative, called Project Glasswing, allows companies, including Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, Microsoft, and Nvidia, to use Anthropic’s Mythos Preview for defensive security work and share their learnings with the wider industry. Anthropic is also providing access to roughly 40 more organizations responsible for building or maintaining critical software infrastructure, allowing them to use the model to scan and secure both their own systems and open-source code.

Read more: https://fortune.com/2026/04/07/anthropic-claude-mythos-model-project-glasswing-cybersecurity/

Why AI may be more like electricity than software

If you think AI is the world’s next smartphone or cloud, Nvidia would like to change your mind.

Instead, Nvidia thinks AI equates more to underlying infrastructure like electricity or the internet. At HumanX in San Francisco on Monday, this was the topic of the opening keynote of the event, which brings together 6,000 people from across the AI industry to discuss how to use AI to solve business problems.

I’d tweak this idea to say that today’s AI will evolve into intelligence so ubiquitous that we’ll rarely mention it. But it’s likely to power the next generation of tools, as well as the next set of technological and scientific breakthroughs.

Those promises are why the AI industry is in the midst of “the largest infrastructure buildout in human history,” as HumanX CEO Stefan Weitz called it during Monday’s keynote.

That’s because all that intelligence requires a lot of hardware to run, and it’s going to require a lot more in the years ahead as the number of people using AI continues to grow and those who are using it today keep finding more things to do with it.

“The connection between compute and intelligence is stronger than ever,” Bryan Catanzaro, VP of applied deep learning research at Nvidia, said on Monday during the opening panel.

Nvidia has extrapolated all the technology it takes to power AI by coining the phrase “AI is a five-layer cake,” which is the same phrase HumanX used for the opening keynote on Monday. Here’s how the layers break down:

1. Energy: Everything starts with power, and right now, this is the greatest constraint to scaling up AI to meet future demand.

2. Chips: Today’s AI workloads need GPUs to run tasks in parallel at a massive scale, high-bandwidth memory to move data at breakneck speeds, and fast interconnections between all the pieces.

3. Infrastructure: Here’s where the physical components come together, from land to construction to power delivery to networking to cooling to server racks. This is where AI factories are emerging.

4. Models: The AI models understand topics across a ton of different domains, and now that’s expanding to other kinds of models as well, from scientific discoveries to autonomous systems to robotics.

Applications: The place where almost all of the value is created remains the application layer. It’s where we get daily tools, agents, coding helpers, self-driving cars, industrial robots, and lots of other things being invented day by day.

What Else Happened in AI on April 07th 2026?

The Information: Meta Employees Vie for AI ‘Token Legend’ Status

Anthropic expands partnership with Google and Broadcom for multiple gigawatts of next-generation compute

The Deep View: Anthropic passes $30B ARR after Pentagon clash

Hermeus raises $350M at a $1B valuation

Reuters: Intel joins Musk’s Terafab AI chip project to power humanoid, data center goals

WSJ: What to Know About OpenAI’s Ideas for a World With ‘Superintelligence’

Bloomberg: OpenAI, Anthropic, Google Unite to Combat Model Copying in China

WSJ: Inside a Corporate Retreat That Went Very Badly Wrong

NYT: Bill Ackman’s Fund Offers to Buy Universal Music in $64 Billion Deal

NYT: Shots Fired at Indianapolis Councilman’s Home, After Vote Backing Data Center

AP says it will offer buyouts as part of pivot away from newspaper-focused history

Wired: Edward ‘Big Balls’ Coristine Is Helping Out on Viral Fraud Videos Now

The Hollywood Reporter: Kalshi Forecasts Coming to Fox News as Prediction Market Strikes Deal With Cable News Leader

Bloomberg: Cerebras Backer Eclipse Raises $1.3 Billion for Robotics, AI Infrastructure

WSJ: Five Amazing Tech Innovations We Should Expect in the Next 25 Years

The Wrap: McClatchy Journalists Revolt Against AI: ‘It’s a Betrayal’ | Exclusive

The Information reported that Sam Altman and OpenAI CFO Sarah Friar are not on the same page regarding IPO timing, though OpenAI denied the claim.

Iran’s military singled out the $30B Stargate data center in Abu Dhabi as a target, publishing satellite footage and vowing to destroy U.S. infrastructure across the region.

OpenAI Head of Business Finance Chengpeng Mou posted new stats on ChatGPT’s use for healthcare questions, with the platform getting 2M insurance messages weekly.

Google released AI Edge Eloquent, a free iOS dictation app that cleans up raw speech into polished text entirely on-device.

Legion Health won approval to let its AI app directly refill psychiatric medications, the first time a state has greenlit AI to do the process without clinician oversight.

Target puts customers on the hook for AI shopping assistant errors [Link]

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts at

Summary: The first Monday of Q2 2026 reveals massive fractures in the capital structure of the AI industry. We perform a forensic analysis of the internal conflict at OpenAI, where CFO Sarah Friar has been sidelined after projecting a catastrophic $200 billion cash burn, directly challenging CEO Sam Altman’s aggressive IPO timeline. We also deconstruct Altman’s controversial new policy blueprint calling for a tax on automated corporate labor. At the infrastructure layer, we analyze Nvidia’s brilliant strategic hedge: releasing frontier-class open models (Nemotron 3) to prevent OpenAI and Anthropic from monopolizing the software ecosystem and dictating hardware prices. Finally, we look at Anthropic’s margin squeeze, forcing third-party agents off flat-rate billing, and the dangerous rise of “Cognitive Surrender” in enterprise decision-making.

Important Topics Covered:

• The OpenAI IPO Civil War

• The “Automated Labor Tax”

• Nvidia’s Strategic Hedge

• The Death of Flat-Rate Compute

• Cognitive Surrender:

• LinkedIn’s “BrowserGate”

• Netflix VOID

Keywords: OpenAI IPO readiness, Sarah Friar, Sam Altman AI Tax, OpenAI $200B cash burn, Nvidia Nemotron 3 open source, AI hardware monopoly, Anthropic Claude OpenClaw ban, Penn study cognitive surrender, LinkedIn BrowserGate, Netflix VOID physics-aware AI, DjamgaMind, AIRIA.

This episode is made possible by our sponsors:

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Sam Altman proposes AI tax and regulation blueprint

• OpenAI CEO Sam Altman released a 13-page policy blueprint on Monday that proposes new taxes, a public wealth fund, and regulation to prepare for AI’s expected impact on jobs and the economy.

• The document calls for taxes “related to automated labor” to protect funding for programs like Social Security and SNAP, and recommends giving every citizen a stake in AI-driven economic growth.

• Altman also suggested employers and unions push for four-day workweeks with no pay cuts, expanded training for human-centered jobs, and guardrails on how the government can deploy AI systems.

Why Nvidia chose open models to reshape AI

If you’re wondering why AI chips leader Nvidia is now building open models that compete with the Chinese open-source champs, and even proprietary models from OpenAI and Anthropic, then you’re not alone.

Last month, Nvidia launched Nemotron 3 Super, a 120-billion-parameter reasoning model that outperformed expectations in benchmarks. This is a mixture-of-experts model with a 1-million-token context window. In other words, it’s a serious model made to compete with the frontier labs. Meanwhile, the company promised that a model 4x its size, to be called Nemotron 3 Ultra, is coming soon.

And because Nvidia opens the weights, datasets, and training recipes, it’s among the most open models in the world, especially for a model of this capability. Some of the only models that could claim to be more open would be the ones from MBZUAI, which The Deep View covered in depth in January. But Nvidia’s open models are far closer to full-stack openness than most of the open-source models, which only offer open-weight releases.

So why would the leading hardware company of the AI era make software that competes with its leading customers?

“We’re not trying to control AI. We’re trying to grow it,” Bryan Catanzaro, VP of applied deep learning research at Nvidia, told The Deep View. “And so our incentives as a company, our business is aligned with open models and with supporting the ecosystem in a very direct way.”

Kari Briski, VP of generative AI software at Nvidia, told The Deep View another perspective: “The model is the byproduct. It is not core to our business, which allows us to just open up the data, open up the recipes, open up everything.”

If we break it down, there are three benefits Nvidia gets from making its own models:

1. Extreme hardware co-design: Making their own models allows Nvidia to optimize the heck out of their GPUs, CPUs and other hardware to run AI. They don’t have to wait to get the latest models from the frontier labs to plan the next stage of optimizations.

2. Hedging against proprietary monopolies: If the frontier labs that need the latest and greatest hardware dwindle down to only a handful of players, then Nvidia could end up at their mercy. When you have a smaller number of customers you rely on for huge numbers of orders, then those customers gain more and more control over your prices. They can demand lower prices because they know so much of your business depends on them.

3. Letting a thousands flowers (a.k.a. customers) bloom: By releasing open models that other hardware and software makers can use as a rapid on-ramp to build their own AI products and serve the various niches in the industry, Nvidia is powering up the ecosystem, helping companies with limited resources have models they can use to compete and potentially creating a lot more future customers when those companies succeed and grow.

“You don’t want one person winning [because] then they decide all the rules. You need a big open ecosystem for everybody to come along,” said Briski.

Anthropic boots third-party agents from Claude plans

Anthropic just blocked agent platforms like OpenClaw from running on Claude plans, requiring users to pay separately via usage add-ons or API keys, as the company confronts agent-driven demand its flat-rate pricing was never built to absorb.

The details:

• Agent tools hit Claude with nonstop requests that exceed what its normal plans typically cover, despite Anthropic models being the leading driver for the tech.

• Anthropic’s Boris Cherny announced the change, saying it is a step towards “managing growth to continue to serve our customers sustainably long-term”.

• Anthropic is handing out credits worth a month’s subscription, discounting add-ons up to 30%, and offering refunds amid cancellation requests.

• OpenClaw creator Peter Steinberger criticized the step, saying, “First they copy popular features into their closed harness, then they lock out open source.”

Why it matters: Anthropic was already catching heat over tighter rate limits, and walling off its agentic power-user community won’t help the goodwill problem. It’s a tough situation with Anthropic’s agent usage likely playing a role in degrading normal user experience, but OAI is now there as the alternative at a crucial time in the rivalry.

When AI thinks, humans stop questioning

AI might be causing us to forget how to think for ourselves.

Recent research from the University of Pennsylvania found that AI users were often willing to accept flawed AI reasoning, readily incorporating it into their decision-making with “minimal friction or skepticism.”

The research documents the rise of “cognitive surrender,” a phenomenon in which users adopt AI outputs while “overriding intuition… and deliberation.”

• In a study of nearly 1,400 participants across 9,500 trials, researchers found that subjects accepted unsound AI reasoning more than 73% of the time and only overruled models’ decisions about 20% of the time.

• Additionally, participants with higher trust in AI and “lower need for cognition and fluid intelligence” tended to fall victim to this more often.

“Across domains, AI tools are not merely assisting decision-making; they are becoming decision-makers,” The research reads. “This shift opens new theoretical ground: How should we understand human cognition and decision-making in an age when we outsource thinking to artificial processes?”

The study adds to a growing body of research on how AI may be impacting the way that we think. One of the most commonly cited studies comes from the MIT Media Lab, in which a group of test subjects was asked to write SAT questions with three different tools: one with OpenAI’s ChatGPT, one with Google search, and one with no help at all. Consistently, the ChatGPT users “underperformed at neural, linguistic, and behavioral levels.”

Even some of AI’s biggest names are questioning its effects on our brains. Anthropic CEO Dario Amodei said in a March interview with podcaster Nikhil Kamath that deploying AI in the wrong ways could easily make people “become stupider,” but only if they choose to forgo learning entirely. “Even if an AI is always going to be better than you at something, you can still learn that thing. You can still enrich yourself intellectually,” Amodei told Kamath.

The researchers, however, posit that cognitive surrender may not inherently be a bad thing. If an AI model is generally better at reasoning and decision-making than the person using it, with fewer mistakes, “deferring to a statistically superior system may be adaptive or even optimal.”

The bigger issue, however, comes down to agency. The researchers noted that this trend could mark a profound shift in cognition itself, “one in which users may not know when or why they have deferred, and where the line between human and machine agency becomes blurred

Netflix opens physics-aware AI for video editing

Image source: Netflix Research

Netflix just released VOID, an open-source framework built to erase video objects while rewriting the physics associated with them, instead of typical erasing and inpainting tools.

The details:

• Existing removal tools just paint over backgrounds, without actually reasoning about the cause-and-effect those edits introduce across the broader scene.

• VOID uses a mask that maps what to erase, what’s physically affected, and what to keep, with a judge model then charting the consequences.

• VOID can handles physics it never trained on, with demos like a balloon floating when a holder is removed or blocks not falling when one in the chain is erased.

• 25 evaluators compared VOID against six baseline models including Runway, preferring Netflix’s results nearly 2/3 of the time.

Why it matters: This is Netflix Research’s first public AI release, and its a sign of where the video space is heading — intuitive systems that don’t just erase objects in footage like an image editor, but can actually simulate and alter the physics of the scene based on the changes for more controllability and real production use.

LinkedIn secretly scans over 6000 browser extensions

• A report called BrowserGate accuses LinkedIn of running hidden code that scans for over 6,000 browser extensions on users’ computers, linking specific software choices back to real people and their employers.

• The investigation claims LinkedIn can infer personal details like religious beliefs, political views, or job-seeking activity, and also scans for over 200 competing products like Lusha, Apollo, and ZoomInfo.

• LinkedIn denies the accusations, saying it checks for extensions only to stop scammers and scraping, while the report’s author is a developer whose account was restricted for breaking platform rules.

China forces Apple to remove Jack Dorsey’s Bitchat

• Apple pulled Jack Dorsey’s decentralized messaging app Bitchat from its China App Store after Beijing’s internet regulator, the Cyberspace Administration of China, said it violated rules on services capable of social mobilization.

• Bitchat works entirely over Bluetooth and mesh networks without internet connectivity, letting messages hop between devices — a design that has made it popular during government-imposed connectivity blackouts in multiple countries.

• The app has passed three million total downloads across platforms, and this is the second time China has targeted a Dorsey-backed decentralized app, after banning the Nostr-based Damus in 2023.

OpenAI CFO questions readiness for 2026 IPO

• OpenAI’s CFO Sarah Friar has told colleagues the company is not ready for an initial public offering by late 2026, putting her in direct conflict with CEO Sam Altman’s goal to list by Q4.

• Internal projections show OpenAI burning through more than $200 billion before reaching positive cash flow, with losses for 2026 alone projected at roughly $14 billion against $2 billion in monthly revenue.

• Friar no longer reports to Altman directly, has been excluded from key financial meetings, and the company has quietly retained Goldman Sachs and Morgan Stanley to manage a possible offering.

Vibe coding boosted App Store submissions in 2025

• App Store submissions surged 84 percent year-over-year in Q1 2026, and the growth of vibe coding tools like Claude Code and ChatGPT Codex is believed to be driving the increase.

• For the full year of 2025, submissions grew 30 percent versus 2024, nearly hitting 600,000 total, with momentum building each quarter and accelerating sharply into early 2026.

• Apple says its review team processes 90 percent of submissions within 48 hours, but developers and consumers have complained about lower-quality apps flooding the App Store as a result.

What Else happened in AI on April 06th 2026?

OpenAI is navigating a leadership change, with Fidji Simo on medical leave, COO Brad Lightcap on special projects, and CMO Kate Rouch stepping down for cancer recovery.

Anthropic acquired startup Coefficient Bio for roughly $400M, folding the team into its healthcare and life sciences group focused on drug discovery.

Mercor confirmed a data breach tied to an attack on open-source library LiteLLM, with hackers claiming access to up to 4 TB of data from the $10B AI training startup.

Pika Labs released PikaStream 1.0 in beta, a real-time model that lets AI agents join Google Meet calls as video avatars with voice cloning and live conversation.

OpenAI rolled out ChatGPT in CarPlay, allowing users to access Voice Mode in their supported vehicle for hands-free use.

MIT study models AI ‘sycophancy’, warns of ‘delusional spiraling’ in chatbot interactions [Link]

18-month New Yorker investigation finds OpenAI’s Sam Altman lobbied against the same AI regulations he publicly advocated for, pursued billions from Gulf autocracies, and how he tried to hide a post-firing investigation that produced no written report [Link]

Japan Wants to Build a Solar Ring Around the Moon That Will Provide Endless Clean Energy to Earth [Link]

UK confirms drone-killing DragonFire laser weapon for Royal Navy destroyers by 2027 —laser downs 400mph high‑speed drones, costs $13 per shot [Link]

Meta salary data reveals a VP of AI can make $650,000 in base salary [Link]

Microsoft says Copilot is for entertainment purposes only, not serious use — firm pushing AI hard to consumers and businesses tells users not to rely on it for important advice [Link]

OpenAI proposes superintelligence governance plan – taxing automation, establishing AI wealth funds, 4-day work weeks [Link]

DjamgaMind: Audio Intelligence for the C-Suite (Daily AI News, Energy, Healthcare, Finance)

Full-Stack AI Intelligence. Zero Noise.The definitive audio briefing for the C-Suite and AI Architects. From Daily News and Strategic Deep Dives to high-density Industrial & Regulatory Intelligence—decoded at the speed of the AI era. . 👉 Start your specialized audio briefing today at Djamgamind.com

AI Jobs and Career

I wanted to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.

• Full Stack Engineer [$150K-$220K]
• Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
• DevOps Engineer, India, Contract [$90/hour]
• More AI Jobs Opportunitieshere

Job Title	Status	Pay
Full-Stack Engineer	Strong match, Full-time	$150K - $220K / year
Developer Experience and Productivity Engineer	Pre-qualified, Full-time	$160K - $300K / year
Software Engineer - Tooling & AI Workflows (Contract)	Contract	$90 / hour
DevOps Engineer (India)	Full-time	$20K - $50K / year
Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
Enterprise IT & Cloud Domain Expert - India	Contract	$20 - $30 / hour
Senior Software Engineer	Contract	$100 - $200 / hour
Senior Software Engineer	Pre-qualified, Full-time	$150K - $300K / year
Senior Full-Stack Engineer: Latin America	Full-time	$1.6K - $2.1K / week
Software Engineering Expert	Contract	$50 - $150 / hour
Generalist Video Annotators	Contract	$45 / hour
Generalist Writing Expert	Contract	$45 / hour
Editors, Fact Checkers, & Data Quality Reviewers	Contract	$50 - $60 / hour
Multilingual Expert	Contract	$54 / hour
Mathematics Expert (PhD)	Contract	$60 - $80 / hour
Software Engineer - India	Contract	$20 - $45 / hour
Physics Expert (PhD)	Contract	$60 - $80 / hour
Finance Expert	Contract	$150 / hour
Designers	Contract	$50 - $70 / hour
Chemistry Expert (PhD)	Contract	$60 - $80 / hour

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts

or at https://djamgamind.com

Summary: The first week of April 2026 brought a violent collision between infinite software scaling and finite physical reality. We perform a forensic autopsy on OpenAI’s historic $122 billion raise and the internal executive reshuffle happening right before their IPO. We analyze Elon Musk’s unprecedented move to force SpaceX IPO underwriters to buy Grok AI subscriptions, and the chilling supply chain data revealing that 50% of US data centers are paralyzed by transformer shortages. Finally, we look at the human impact: how a solo founder used everyday AI tools to build a $1.8 billion company, while everyday adults retreat from the social internet in record numbers.

This episode is made possible by our sponsors

🎙 DjamgaMind: High-Fidelity Intelligence for the C-Suite. If you are a modern decision-maker, DjamgaMind delivers strategic audio forensics in Healthcare, Energy, and Finance. Stop reading headlines and start understanding the systemic impact with our human-verified, technical-grade analysis. 👉 Explore the Forensics: https://DjamgaMind.com/regulations

🛠️ The AI Executive Toolkit: Stop scrolling through generic lists. Get the hand-picked, forensic-vetted implementation stack to bridge the gap between raw innovation and professional-grade governance. Exclusive listener perks on tools like Chatbase, ElevenLabs, AIRIA, and Google Workspace. 👉 Get the Toolkit: https://DjamgaMind.com/Toolkit

Important Topics Covered:

• OpenAI’s Trillion-Dollar Trajectory: The $122B raise ($852B valuation), leadership reshuffles (Lightcap, Simo), and the acquisition of the TBPN tech show.

• The Secondary Market Pivot: Why investors are abandoning $600M in OpenAI stock to deploy $2B into Anthropic.

• The SpaceX IPO Leverage: Elon Musk forces banks to subscribe to xAI’s Grok to participate in the historic $1.75T SpaceX public offering.

• The Physical Compute Wall: Data shows 50% of US data centers are delayed. China still accounts for over 40% of U.S. battery imports and 30% of key switchgear components.

• The $1.8B Solo Unicorn: Matthew Gallagher scales Medvi to $401 million in Year 1 (and a projected $1.8B this year) with just $20,000 and AI agents.

• The Social Retreat: A new Ofcom report reveals UK adults posting on social media dropped from 61% to 49%, while ChatGPT usage surged from 31% to 54%.

• Ecosystem Wars: Anthropic blocks OpenClaw, Apple preps an iOS 27 Siri App Store, and Microsoft injects Copilot ads into GitHub pull requests.

Keywords: OpenAI $122B funding round, SpaceX $1.75T IPO, Elon Musk Grok subscriptions, US data center delays, Chinese battery imports AI, Matthew Gallagher Medvi, Solo Unicorn startup, Anthropic Claude Code leak, Microsoft Copilot GitHub ads, Meta Mercor data breach, Google Gemma 4, DjamgaMind, AIRIA, AI Executive Toolkit, AI Unraveled.

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

OpenAI reshuffles leadership as top executives step back

• OpenAI is making several leadership changes at once, with its COO moving to a new role, its CEO of AGI development taking medical leave, and its marketing head stepping down.

• COO Brad Lightcap will now lead “special projects” involving complex deals and investments, while former Slack CEO Denise Dresser, the new chief revenue officer, takes over his commercial duties.

• Fidji Simo is taking medical leave for several weeks to deal with a neuroimmune condition, and co-founder Greg Brockman will manage product while she is away.

Musk requires SpaceX IPO banks to buy Grok subscriptions

• Elon Musk is requiring banks, law firms, and other advisers working on the SpaceX IPO to buy subscriptions to Grok, his AI chatbot, according to a New York Times report.

• Some banks have agreed to spend tens of millions on Grok and have already started integrating the chatbot into their IT systems as part of the deal.

• The IPO filing came after SpaceX purchased xAI, which makes Grok and owns the X social network, while Grok faces investigations for generating harmful imagery.

NASA astronauts took iPhones on Artemis II mission

• NASA astronauts on the Artemis II mission carried iPhone 17 Pro Max devices to the moon, marking the first time the agency gave each crew member a personal smartphone for photos and videos.

• The iPhones can’t connect to the internet or use Bluetooth and are limited to capturing photos and videos, and NASA had to run a four-phase safety review covering hazards like shattering glass.

• The crew also has four GoPro Hero 11 cameras and two Nikon D5 bodies onboard, and NASA discussed using Velcro to mount phones inside the Orion capsule in microgravity conditions.

Claude just shut the door on OpenClaw

• Anthropic announced that starting April 4, 2026, Claude Pro and Max subscribers will no longer be able to connect their subscriptions to third-party agentic tools like OpenClaw, citing strain on compute and engineering resources.

• Users can still power third-party agents with Claude models, but they must now switch to pay-as-you-go “extra usage” billing or Anthropic’s API, which charges per token instead of offering flat-rate access.

• OpenClaw creator Peter Steinberger, now at OpenAI, accused Anthropic of copying popular open-source features into Claude Code and then locking out competing tools, while Anthropic offered credits and discounts to ease the transition.

Meta pauses Mercor partnership after AI data breach

• Meta has paused its partnership with Mercor, the AI training data company, after a massive data breach exposed as much as 4TB of sensitive information including candidate profiles and personally identifiable information.

• Mercor has been approaching professionals across industries, including visual effects artists, offering payment in exchange for work materials from previous jobs like “4D physics scenes with camera data.”

• Much of the material Mercor is seeking likely belongs to former employers and is protected by intellectual property laws and confidentiality agreements, even though the company says it “does not buy intellectual property.”

Half of planned US data center builds delayed or canceled

• About half of all planned U.S. data center builds this year are expected to be delayed or canceled, mainly because key electrical equipment like transformers, switchgear, and batteries is in short supply.

• Lead times for high-power transformers in the U.S. have stretched from around two years before 2020 to as long as five years today, far exceeding the under-18-month deployment cycles AI data centers need.

• China still accounts for over 40% of U.S. battery imports and nearly 30% of certain transformer and switchgear categories, so ongoing trade-war tensions could further disrupt builds despite massive spending plans.

OpenAI acquires tech talk show TBPN

• OpenAI has bought TBPN, a popular daily tech talk show on YouTube and X, marking the AI company’s first acquisition of a media property.

• TBPN, hosted by John Coogan and Jordi Hays, will keep its own brand and editorial independence but report to OpenAI’s chief political operative, Chris Lehane.

• The deal raises conflict-of-interest questions since OpenAI, a company approaching an IPO, now owns a show that regularly covers OpenAI itself and its competitors.

NASA sends astronauts toward the Moon for first time in 50 years

• NASA launched four astronauts toward the Moon on Wednesday aboard the Space Launch System and Orion capsule, marking the first crewed flight beyond low Earth orbit in more than 50 years.

• Pilot Victor Glover will manually fly Orion within about 30 feet of the spent upper stage in a rendezvous demonstration, testing all six degrees of freedom to build confidence for future lunar dockings.

• NASA calls Artemis II a test flight with off-ramps, meaning controllers will check life-support performance after launch vibration and bring the crew home early if systems do not meet expectations.

Google rethinks the AI model race with Gemma 4

• Google launched Gemma 4, its next generation of open models, positioning the smaller and more efficient family as a strong alternative as inference costs rise across the industry.

• Gemma 4 comes in four sizes — from 2B-parameter models that run offline on phones and laptops to a 31B Dense model ranked #3 on the Arena AI text leaderboard.

• The open-source models now feature an Apache 2.0 license, and Google says the Gemma family has been downloaded over 400 million times since its first launch in February 2024.

AI helped two brothers build a $1.8B company

• Matthew Gallagher used more than a dozen A.I. tools and just $20,000 to build Medvi, a telehealth GLP-1 drug provider that hit $401 million in sales its first year with only one employee — his brother.

• Gallagher relied on ChatGPT, Claude, Grok, Midjourney and Runway to write code, generate ads and handle customer service, while CareValidate and OpenLoop managed doctors, pharmacies and shipping.

• Medvi is now on track for $1.8 billion in sales this year and has expanded into men’s health and meal delivery, with a 16.2 percent net profit margin — triple that of competitor Hims.

Investors flee OpenAI for rival Anthropic LINK

• Investors on secondary markets are turning away from OpenAI shares and rushing to buy equity in rival Anthropic, with some large OpenAI stakes now nearly impossible to sell.

• About $600 million in OpenAI shares from institutional investors found no buyers, while secondary platforms report over $2 billion in cash ready to deploy into Anthropic.

• Investors see better risk-reward in Anthropic at its $380 billion valuation, betting it will close the gap with OpenAI’s $852 billion, especially given Anthropic’s stronger enterprise client growth.

Microsoft launches 3 new AI models to rival OpenAI

• Microsoft released three in-house AI models — MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2 — covering speech-to-text, voice generation, and image creation, competing directly with OpenAI, Google, and ElevenLabs.

• Mustafa Suleyman told VentureBeat that teams of fewer than 10 engineers built the audio and image models, and MAI-Transcribe-1 runs on half the GPUs of competitors while beating Whisper on all 25 benchmarked languages.

• Suleyman confirmed Microsoft plans to build a frontier large language model and become “completely independent,” following a renegotiated OpenAI contract that now lets Microsoft pursue superintelligence on its own.

Cloudflare launches WordPress competitor

• Cloudflare has launched EmDash, an open source CMS it calls the “spiritual successor” to WordPress, designed to be more secure and built on what the company describes as an “AI native” architecture.

• EmDash runs each plugin in an isolated sandbox called Dynamic Workers, requiring plugins to declare permissions upfront, since Cloudflare says 96% of WordPress vulnerabilities come from plugins with unrestricted access.

• The new CMS is built on a scale-to-zero principle that only bills for CPU time during actual requests, and WordPress users can migrate by importing a WXR file or installing the EmDash Exporter plugin.

Amazon in talks to acquire Globalstar for $9 billion

• Amazon is in talks to buy Globalstar, a satellite communications company valued at around $8.81 billion, as it tries to grow its early-stage Leo satellite internet service, the Financial Times reported.

• Apple’s 20% stake in Globalstar, part of a $1.5 billion investment in 2024 to expand satellite and ground infrastructure, has complicated the deal and required separate negotiations between Amazon and Apple.

• Amazon’s Leo program has about 200 satellites in orbit and plans for 7,700, but it still trails SpaceX’s Starlink, which operates over 9,600 satellites and serves more than nine million users.

Fewer adults are posting on social media

• A new Ofcom report found that fewer adults in the UK are posting, sharing, or commenting on social media, dropping from 61% in 2024 to 49% as platforms shift toward video.

• Nearly half of adults are now concerned about historic posts causing problems later in life, with worries about professional prospects and reputation driving people to stop posting permanently.

• Meanwhile, active use of AI tools like ChatGPT has jumped from 31% to 54% among UK adults, and fewer social media users believe the apps are good for their mental health.

Alibaba launches 3 closed-source AI models in 3 days

• Alibaba released three closed-source AI models in three days this week, ending with Qwen3.6-Plus, a coding and multimodal reasoning model sold through paid APIs to enterprise customers.

• The shift follows the departure of Qwen’s technical lead Lin Junyang in early March, with one contributor suggesting the exit was not voluntary, and Alibaba replacing him with a Google DeepMind veteran.

• Alibaba is targeting $100 billion in cloud revenue within five years, and Qwen3.6-Plus scores 78.8 on SWE-bench Verified, trailing only Claude Opus 4.5 among the models it compared against.

SpaceX confidentially files for biggest IPO in history

• SpaceX has confidentially filed IPO paperwork with the SEC, reportedly seeking a $1.75 trillion valuation in what would be the largest initial public offering in history at $75 billion raised.

• The company lined up 21 banks to manage the offering, internally codenamed “Project Apex,” dwarfing Saudi Aramco’s $29 billion listing in 2019, which was previously the biggest IPO ever.

• SpaceX needs the money to build its Starship rocket, replenish Starlink satellites, and pay for compute powering xAI’s deep learning models after absorbing Musk’s AI lab in February.

Anthropic accidentally leaks Claude Code

• Anthropic accidentally exposed over 512,000 lines of Claude Code source code when someone made a packaging error while pushing out version 2.1.88 of the software on Tuesday.

• The leak revealed the full software scaffolding around Claude Code — instructions telling the model how to behave, what tools to use, and where its limits are — not the AI model itself.

• This marks the second accidental exposure in a week, after Anthropic made nearly 3,000 internal files publicly available last Thursday, including a draft blog post describing an unannounced model.

Oracle cuts thousands of jobs to boost AI spending

• Oracle laid off thousands of employees across multiple countries this week, with analysts estimating cuts could reach 30,000 positions to free up billions in cash flow for AI data center construction.

• Workers received termination emails from “Oracle Leadership” at 6 a.m. with no prior warning, after being locked out of internal systems at three in the morning Pacific time.

• The cuts come as Oracle spends $50 billion on capital expenditure this year and carries a $156 billion total buildout estimate, even as its stock has lost nearly half its value since September.

OpenAI raises record $122B at $852B valuation

• OpenAI closed a $122 billion funding round at an $852 billion valuation, making it the largest private fundraising event in history, with Amazon leading at $35 billion and individual investors buying shares through ARK ETFs.

• Amazon’s $35 billion tranche carries conditions tied to an IPO milestone, effectively making a public listing a requirement of OpenAI’s own financing rather than a voluntary strategic decision.

• At $852 billion, OpenAI’s private valuation now exceeds every publicly listed tech company except Apple, Microsoft, Nvidia, and Alphabet, setting up a tense gap between pre-IPO price and market reality.

Google prepares a screenless Fitbit band to rival Whoop

• Google is working on a screenless Fitbit fitness band designed to compete with Whoop and Oura, combining simple hardware with AI-powered health coaching and a subscription-based model for extra features.

• The band is described as a grey fabric design with an orange inner lining, and it will rely on a redesigned Fitbit app featuring an AI personal health coach covering mental wellbeing, cycle tracking, nutrition, and hydration.

• Basketball player Stephen Curry shared a sponsored video teasing the device, and Google confirmed he has been collaborating with its team, with more details and a full launch expected later this year.

Baidu robotaxis freeze in Wuhan causing traffic chaos

• More than 100 Baidu robotaxis stopped running in Wuhan due to a system malfunction, stranding passengers in fast-moving traffic on a ring road, according to police and Chinese media reports.

• Some passengers were afraid to exit because their vehicle had stopped in the middle lane with other cars passing on both sides, while others pushed an SOS button and left on their own.

• This is the first reported mass shutdown of robotaxis in China, and Baidu, which operates more than 1,000 driverless taxis mostly in China, did not have any immediate comment.

Meta tests paid subscriptions on Instagram

• Meta is testing a paid subscription called Instagram Plus in a few countries, giving everyday users access to exclusive features for a small monthly fee.

• Subscribers can view Stories without the poster knowing, see how many people rewatched their Stories, create unlimited audience lists, and extend or spotlight their Stories.

• Pricing varies by country — roughly $1 to $2 per month in Mexico, Japan, and the Philippines — and the subscription is separate from Meta Verified, which targets creators and businesses.

Meta launches prescription AI glasses at $499

• Meta and EssilorLuxottica launched two new Ray-Ban Meta smart glasses styles, the Blayzer Optics and Scriber Optics, starting at $499 and designed to work with prescription lenses including progressive and transition options.

• Both frames feature slimmer designs, swappable nosepads, and adjustable temple tips for a better fit, and they are available for pre-order now with sales starting April 14 at retailers like LensCrafters.

• Meta is also rolling out new software features for all Ray-Ban Meta glasses, including Japanese, Mandarin, and Arabic translation support, food and nutrition tracking, and AI-powered message thread summaries.

Google now lets US users change their Gmail address

• Google is now rolling out a feature that lets users in the U.S. change their Gmail address without creating a new account or losing access to their existing data.

• Users can only change their username once every 12 months, and their old email address will be preserved as an alternate address that still works for signing in.

• The feature is rolling out gradually, so not everyone will see the “Change Google Account email” button in their Personal info settings right away, according to Google’s support page.

OpenAI’s Sora burned $1 million daily before shutdown

• OpenAI’s video-generation tool Sora was losing roughly a million dollars per day before the company shut it down last week, just six months after its public launch.

• Sora’s user count peaked at around one million but then dropped below 500,000, while video generation kept consuming expensive AI chips at a rate OpenAI could not justify.

• Disney had committed $1 billion to a partnership with OpenAI around Sora but learned about the shutdown less than an hour before the public announcement, killing the deal.

Apple may launch a dedicated Siri AI app store

• Apple is reportedly planning to let users install third-party AI chatbots inside Siri through a new feature called “Extensions,” with a dedicated section in the App Store acting as an AI marketplace.

• Bloomberg’s Mark Gurman reports that the changes are coming in iOS 27, which should get its first developer beta in June around Apple’s Worldwide Developers Conference starting June 8.

• Apple already integrated OpenAI’s ChatGPT into Siri, but Extensions will offer a wider choice of AI agents that users can browse and install from the new App Store section.

Microsoft Copilot now shows ads in pull requests

• Microsoft’s Copilot AI tool has started inserting promotional messages into pull requests on GitHub, advertising a Raycast extension for the Copilot coding agent on macOS and Windows machines.

• A search on GitHub shows the exact same promotional text appearing in over 11,000 different pull requests across thousands of repos, and even merge requests on GitLab contain the injection.

• Hidden HTML comments labeled “START COPILOT CODING AGENT TIPS” in the raw markdown suggest Microsoft is inserting these ads, likely to promote its own developer ecosystem or partner integrations.

ChatGPT app store struggles six months post-launch

• OpenAI’s push to turn ChatGPT into an app platform with over 300 integrations from companies like Booking and StubHub is off to a sluggish start six months after launch.

• Partner companies are hesitant to hand off customer relationships and payments to OpenAI, so most apps force users to leave ChatGPT to complete purchases or even view basic details.

• Developers have complained about a tedious app-approval process, buggy development tools, and a lack of usage data, leaving them “running quite blind” on whether their apps are working properly.

Eli Lilly bets $2.75 billion on AI drug discovery

• Eli Lilly announced a $2.75 billion deal with Hong Kong-based Insilico Medicine to use artificial intelligence for drug discovery and development, giving Lilly exclusive license to manufacture and market the resulting therapies.

• Insilico CEO Alex Zhavoronkov told CNBC his company has used AI to develop at least 28 drugs, with close to half already at a clinical stage of testing.

• Eli Lilly has also committed $1 billion over five years with Nvidia to finance talent, infrastructure and computing needed to address bottlenecks in AI-based drug discovery.