Category: News

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 day of Q2 2026 marks a watershed moment in the allocation of global capital. OpenAI has closed the largest venture round in history—$122 billion—anchored by Amazon and Nvidia, pivoting entirely toward a unified “Enterprise Superapp.” Meanwhile, legacy tech giants are feeling the margin squeeze; Oracle has executed massive, unannounced layoffs to free up $50 billion for AI data center construction. We also analyze the geopolitical defense sector as Saronic raises $1.75B for autonomous drone ships, and SpaceX files for a historic $1.75 trillion IPO to fund the massive compute needs of xAI. This is a forensic look at the brutal economics of the “Intelligence Stack.

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

Important Topics Covered:

• The $122B Mega-Round: Deconstructing OpenAI’s record raise, the $852B valuation, and Amazon’s “AGI clause.”

• The Enterprise Superapp: Why OpenAI is merging Codex, ChatGPT, and Atlas into a single OS, and the renaming of its product org to the “AGI Deployment” team.

• Oracle’s GPU Panic: The financial forensics behind Oracle firing thousands of workers to fund a $156B total data center buildout.

• The Claude Code Leak: Anthropic’s second major leak in a week, exposing the software scaffolding and tool-use instructions of its models.

• SpaceX’s $1.75T IPO: How “Project Apex” will dwarf Saudi Aramco’s IPO to fund Starship and xAI’s deep learning infrastructure.

• The Video Vacuum: Google slashes prices on Veo 3.1 to capture the market abandoned by OpenAI’s Sora.

• Defense Tech Verticalization: Saronic’s $1.75B raise and $392M Navy contract for autonomous naval drone fleets in Texas.

• The Perplexity Lawsuit: The enterprise risk of shadow data sharing, as Perplexity faces a lawsuit for transmitting user financial data to Meta and Google.

Keywords: OpenAI $122B Funding, AI Superapp, Oracle AI Layoffs, SpaceX IPO Project Apex, Anthropic Claude Code Leak, Saronic Autonomous Ships, Google Veo 3.1 Lite, Perplexity Privacy Lawsuit, DjamgaMind, AIRIA, AI Unraveled.

🔗 RESOURCES & CAREERS

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.

OpenAI and Anthropic near a scary leap forward

OpenAI and Anthropic are about to launch new AI models for a world changed by OpenClaw.

Anthropic has its “Claude Mythos“ model, and OpenAI is preparing to launch its “Spud“ model. Both companies are touting these as extremely powerful models that represent the next big leap for LLMs. And if that’s the case, despite the codenames, these models could roll out as Claude 5.0 and ChatGPT 6.0.

There are several factors to watch:

• OpenAI CEO Sam Altman said the new Spud model is so powerful that it will “really accelerate the economy”

• Anthropic CEO Dario Modei said that the company is already testing Claude Mythos with early access customers

• A leaked Anthropic blog post obtained by Fortune stated that the Anthropic team believes its model is so powerful that it could pose unprecedented cybersecurity risks, and that’s one of the reasons why Anthropic has been warning government officials and giving organizations early access to the model in order to help them prepare

• OpenAI’s Spud could also be the foundation of the company’s new “superapp“ that will reportedly combine the desktop apps for ChatGPT, Codex (its coding tool), and Atlas (its web browser) into one streamlined experience with advanced AI agent capabilities

• As another nod to how powerful OpenAI believes its next model will be, the company reportedly renamed the product organization led CEO of Apps Fidji Simo to the “AGI Deployment” team

One reason these models are advancing so rapidly and reaching a higher stage of development is that the labs are now using the models themselves to help build and improve the models. Sam Altman mentioned this when the company released GPT-5.3-Codex. This is a process called recursive self‑improvement (RSI), and it has long been anticipated as the point where AI systems will make a dramatic leap forward.

OpenAI’s record-breaking funding, superapp

OpenAI just announced a new $122B funding round at an $852B valuation, the biggest single fundraise in venture history — with the company revealing its plan to push forward on building a unified “AI superapp.”

The details:

• Amazon, Nvidia, and SoftBank anchored $110B of the raise, with Amazon’s reportedly carrying an AGI clause that could reset terms if OAI crosses that line.

• OAI said its revenue has hit $2B/month, a pace it said is 4x the pace of Alphabet and Meta’s growth at the same company stage.

• Enterprise already accounts for 40%+ of OAI’s revenue and is on track to match consumer by year-end, the fastest-growing segment behind the raise.

• The company is merging ChatGPT, Codex, and its agent tools into one “unified superapp”, coming on the heels of its recent wind-down of the Sora video app.

Why it matters: $122B is a staggering number, but the enterprise stat underneath it might be the more important one — 40% of OAI’s revenue and climbing means abandoning its ‘side quests’ was skating to where the money was heading. The unified ‘superapp’ and IPO will be a big next chapter for the main character of the AI boom.

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.

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.

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.

Google Veo pushes video AI forward, cuts prices

OpenAI may have shed Sora, but Google’s AI video ambitions are far from over.

On Tuesday, the company announced Veo 3.1 Lite, the latest edition to its video generation family of models and its “most cost-effective video model,” the company said in its announcement. Google said that Veo can build high-volume video applications at half the cost and roughly the same speed as its previous Veo model.

Veo 3.1 Lite supports both text and image inputs, and can generate both landscape and portrait ratios at resolutions up to 1080p. Veo 3.1 Lite can cost as little as 5 cents per second, compared to 40 cents per second for Veo 3.1 standard. The model is available to developers in both the Gemini API and Google AI Studio.

Additionally, Google is giving users a discount on Veo 3.1 Fast, its mid-range video generation model, starting April 7, cutting generation costs to 10 cents per second for 720p and 12 cents per second for 1080p.

In a post on X, Logan Kilpatrick, a member of technical staff for Google DeepMind, said that video is “here to stay.”

Google’s courting of AI video customers comes as OpenAI casts off its own video-generation efforts by ditching Sora and ending its $1 billion, three-year licensing partnership with Disney. The company’s Sora switchup signals a broader refocusing of its compute towards more revenue-generating products and redirecting its video model staff to world models. Since video models are incredibly compute-intensive, it makes sense that the video model was on the chopping block.

“We cannot miss this moment because we are distracted by side quests,” Fidji Simo, CEO of applications at OpenAI, told staff in an all-hands meeting, according to Business Insider.

But Google isn’t the only one trying to fill the vacuum left in Sora’s wake. Elon Musk-owned xAI is “doubling down” on AI video with the next release of Grok Imagine, the lab’s own video generation model. But as xAI faces an ever-growing pile of lawsuits over its image generation capabilities, Google may have a better shot at appealing to a wider audience.

Perplexity sued for sharing user info

We’re used to hearing about AI companies getting hauled into court for copyright violations, but privacy violations is a relatively new one. A lawsuit accuses the company of sharing personal information from its users with Meta and Alphabet, in violation of California law. The complaint alleges that, when you log into Perplexity, trackers on the home page are downloaded to your device, which then allow Google and Meta to monitor your chatbot conversations and “exploit” your “sensitive data for their own benefit,” such as ad targeting or re-selling that data to third parties. The suit was filed by an unnamed Utah resident who claims that he shared financial and investment information with Perplexity, which then transmitted the data along to Meta and Google. Representatives from all three companies declined to comment or gestured to their Terms of Service.

Saronic raises $1.75B for autonomous ships:

The defense tech startup — headquartered right here in Austin, Texas — produces autonomous drone boats. They have a $392 million contract with the US Navy for an undisclosed number of 24-ft. Corsair vehicles, designed to carry heavy payloads up to 1,000 nautical miles. The vehicles can be operated remotely by a single sailor via the company’s software platform, Echelon. The new raise more than doubles Saronic’s valuation from last year, to $9.25 billion. They plan to use the cash to upgrade their supply chain and shipyards, including a potential new project — Port Alpha — in South Texas’ Cameron County.

Poll: AI use jumps as American trust, optimism sink

Image source: Quinnipiac University

A new Quinnipiac University poll on AI just revealed a widening gap between adoption and American public sentiment, with usage increasing by 14% but trust, sentiment, and job concerns all trending in a negative direction.

The details:

• Research (51%) made up the highest use case for people who have used AI, along with writing (28%), school/work projects (27%), and data analysis (27%).

• Job anxiety spiked harder than any other metric, with the share of respondents expecting AI to shrink opportunities jumping 14 points to 70%.

• Sentiment varied with income, as 52% earning $200K+ said AI does more good than harm, and 60% earning < $50K said it’s doing more harm.

• Only 5% believe AI is being developed by people who represent their interests, while 74% say the government is not doing enough to regulate AI.

Why it matters: Optimism in AI and tech bubbles is at an all-time high. But the public is moving the other way on the tech: less trust, more fear, deeper pessimism about jobs. That gap between how the industry talks about AI and how people actually feel is the kind of disconnect that eventually shows up in regulation, backlash, or both.

What Else Happened in AI on April 01st 2026?

Teleport introduced Beams, allowing users to run agents securely with identity, control, and trusted runtimes built in for agentic AI across infrastructure. Get early access.*

Google released Veo 3.1 Lite, a new budget video generation model for developers at half the cost of its Fast variant, allowing for generations of up to 8 seconds.

PrismML emerged from stealth and launched Bonsai, a tiny open-source AI model that shows strong intelligence for its size and is able to run on consumer hardware.

Salesforce released new updates to its Slackbot agent in Slack, with 30 new capabilities, including reusable skills, MCP connections, and desktop operation.

Oracle cut thousands of jobs in a major restructuring, crediting a pivot towards AI and related infrastructure, expected to be the company’s largest ever layoff.

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 to enjoy all our daily episodes completely ads-FREE at

or at https://djamgamind.com

Summary: This AI UNRAVELED Special provides a technical and fiduciary audit of the March 2026 Google Quantum breakthrough. We move past the academic headlines to identify th…

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: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts to enjoy all our daily episodes completely ads-FREE at

or at

https://djamgamind.com

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 mic…

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: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts to enjoy all our daily episodes completely ads-FREE at

or at https://djamgamind.com

Summary: The final day of March 2026 marks a historic shift in the AI industry’s fiscal strategy. OpenAI has officially pivoted away from the high-cost “side quest” of video generation, refocusing on “Spud”—an enterprise-focused model designed to combat Anthropic’s market gains. Microsoft has embraced a multi-model reality, pitting ChatGPT against Claude in its new research environment. Meanwhile, capital continues to flood into specialized verticals, led by Eli Lilly’s massive $2.75 billion AI collaboration. We analyze why the “generative honeymoon” is over and the era of “Utility Sovereignty” has begun.

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: https://airia.com/request-demo/?utm_source=AI+Unraveled+&utm_medium=Podcast&utm_campaign=Q1+2026

🎙 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

Important Topics Covered:

• The Fiscal Death of Sora: Inside the $1M/day burn rate and the “Disney Blindside.” Why compute budget is the new currency for the “Inference Inflection.”

• Microsoft’s Multi-Model Play: Deconstructing “Critique” and “Council”—why Copilot now needs Claude to audit ChatGPT’s research.

• The Stanford Sycophancy Report: The enterprise risk of “people-pleasing” chatbots and why agreeable AI is a security and productivity liability.

• Pharma’s $2.7B Consolidation: Why Eli Lilly is bypassing internal R&D to license Insilico Medicine’s AI-discovered drug pipeline.

• Infrastructure Sovereignty: Mistral’s $830M debt raise to build 13,800-GPU data centers in France to cut reliance on U.S. cloud providers.

• Orbital Compute: Starcloud’s $170M Series A to launch H100 and Blackwell chips into orbit via SpaceX Starship.

• The Agentic Ad Injection: Why Microsoft is inserting HTML-hidden promotional content into GitHub pull requests.

Keywords: OpenAI Sora, Mistral AI Debt, Eli Lilly Insilico Medicine, Microsoft Multi-model AI, Starcloud Orbital Compute, AI Inference Economics, Sycophancy AI study, DjamgaMind, AIRIA, AI Unraveled

🔗 RESOURCES & CAREERS

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.

Inside Sora’s $1M-a-day collapse at OpenAI

A WSJ investigation just revealed the behind-the-scenes chaos of OpenAI Sora video generator shutdown, including a $1M daily burn rate, a blindsided Disney, and the internal code-named model that required Sora’s compute budget.

The details:

• Sora was reportedly burning “roughly a million dollars a day” and using significant compute, with Sora 3 training set to start just as it was axed.

• The WSJ said Disney learned about the shutdown “less than an hour” before the announcement, with the relationship now “effectively dormant”.

• The freed-up chips went to “Spud,” a model targeting coding and enterprise in response to Anthropic’s powerful moves in the sector.

• An enterprise version of Sora was already in pilot with Disney for marketing and VFX work, with a spring launch expected prior to OAI pulling the plug.

Why it matters: We covered the shutdown when it broke, but the WSJ’s details put things into context — the generator was bleeding money and compute. The strangest part of the story is the Disney blindside, which is certainly a strange way to handle a potential $1B partnership with one of the biggest media companies on the planet.

Microsoft pits Claude against ChatGPT for research

Image source: Microsoft

Microsoft released Critique and Council, two new features that turn its Copilot Researcher into a multi-model system that can review and edit research reports and run both systems side by side to see where they agree and disagree.

The details:

• Copilot’s Researcher already uses OAI for multi-step work, with Critique now adding Claude as a second model to review every report before it ships.

• One model drafts the research, and the second tears it apart on source quality, completeness, and evidence grounding behind the scenes.

• A separate Model Council mode runs both models side by side, then flags where they agree, where they split, and what each uniquely surfaced.

• The updates come alongside a broader rollout of Copilot Cowork into Frontier, Microsoft’s Claude-based agentic tool for handling multi-step tasks

Why it matters: With orchestration systems like Perplexity Computer out in the wild, the future of LLM use feels multi-model, and for good reason. OAI co-founder Andrej Karpathy’s post proved a point when an LLM helped perfect an argument, then shredded it on command: one model will sell you on anything, so you better ask two.

Stanford exposes AI’s people-pleasing problem

Image source: Stanford University

Stanford researchers published a new study showing that major AI chatbots consistently take users’ side in personal conflicts, even backing harmful or illegal behavior, while also making users measurably more self-righteous in the process.

The details:

• The researchers tested 11 LLMs using 2K Reddit posts where crowds agreed the poster was wrong, but chatbots still sided with the user over half the time.

• Over 2,400 participants then chatted with both agreeable and neutral AIs and preferred the sycophantic version, rating it as more trustworthy.

• After chatting with the agreeable model, users also doubled down on their position, lost interest in apologizing, and couldn’t tell the AI was biased.

Why it matters: When you think of the topic of people-pleasing AI, OpenAI’s 4o model might come to mind. But it turns out that most other frontier models aren’t much different, and potentially even more worrisome with agreeableness that is more convincing and less obvious than the drama seen with 4o.

Microsoft Copilot now shows ads in pull requests LINK

• 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.

New data: Americans turn more negative on AI

AI is losing the narrative among Americans.

In a poll of roughly 1,400 US adults conducted by Quinnipiac University, 55% reported that they felt AI would do more harm than good, up 11% year-over-year. Around 76% reported that they trust AI “hardly ever” or “only some of the time,” and 62% reported not being excited about the technology.

Along with broadly feeling disenchanted with the tech, more than half reported that AI is moving far faster than they expected.

Poll respondents were also generally wary of the tech’s impact on the job market and workforce:

• More than 80% reported that they wouldn’t take a job where an AI program acted as a manager, assigning tasks or schedules

• Around 70% believe that AI will cut the number of job opportunities, up 14% from the previous year’s poll

• And 30% reported being concerned that AI would make their own jobs obsolete, up 9% year-on-year. Despite broader job market concerns, 48% reported that they were not concerned at all about AI taking their own jobs.

“Americans are more worried about what AI may do to the labor market than about what it may do to their own jobs,” Tamilla Triantoro, associate professor in the Quinnipiac University School of Business, said in the report. “People seem more willing to predict a tougher market than to picture themselves on the losing end of that disruption – a pattern worth watching as the technology moves deeper into the workplace.”

The poll reflects growing concern and confusion caused by seemingly endless conflicting reports of how AI will impact the job market. Some estimates suggest that AI is already capable of automating a large share of work hours, while others suggest that AI is increasing workloads rather than reducing them. Though one viral report from February painted a bleak, worst-case-scenario picture of how AI could utterly demolish the economy, software engineering jobs are up from last year.

ChatGPT app store struggles six months post-launch LINK

• 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.

What Else Happened in AI on March 31st 2026?

Anthropic launched computer use in Claude Code, letting the AI open apps, click through UIs, and visually verify its own builds from the terminal.

Mistral raised $830M in debt to power its own 13,800-GPU Nvidia AI infrastructure in France, part of a broader push to cut reliance on U.S. cloud providers.

Alibaba released Qwen3.5-Omni, a new multimodal AI that processes text, images, audio, and video, with an “Audio-Visual vibe coding” mode that builds apps from audio.

Starcloud raised $170M at a $1.1B valuation to build GPU-powered data centers in orbit, betting on SpaceX’s Starship to make space compute cost-competitive.

Apple mistakenly rolled out Apple Intelligence in China before quickly removing the update, with the features not yet approved for use in the region.

All of xAI’s 11 original cofounders have reportedly ditched the company

AI chip company Rebellion raises $400 million at $2.3 billion valuation

Perplexity, Fiscal AI expand partnership for financial data for investors

Coatue reportedly projects nearly $2 trillion valuation for Anthropic by 2030

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 to enjoy all our daily episodes completely ads-FREE at https://djamgamind.com/daily

Summary: As we enter the second quarter of 2026, the AI industry is undergoing a violent transition from user-acquisition hype to unit-economic reality. This episode deconstructs Anthropic’s new “Peak Hour” usage limits—a tactical move to manage GPU scarcity that functions like surge pricing for the C-Suite. We analyze OpenAI’s internal restructuring under CFO Sarah Friar, who is aggressively cutting non-profitable “side quests” to prepare the company for a landmark IPO. From the $2.75 billion Eli Lilly deal to the strategic launch of Codex Plugins, this is a deep dive into the infrastructure and capital moves defining the enterprise AI landscape.

This episode is made possible by our sponsors:

🛑 AIRIA: With Codex gaining plugins and Anthropic launching ‘Mythos-class’ cyber capabilities, the enterprise attack surface is expanding. AIRIA provides the essential micro-VM sandboxing and zero-trust policy engine to ensure these autonomous agents don’t become internal liabilities.

👉 Govern your agents: https://airia.com/request-demo/?utm_source=AI+Unraveled+&utm_medium=Podcast&utm_campaign=Q1+2026

🎙 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

Important Topics Covered:

• The Sustainability Pivot: Why Anthropic is introducing session limits during business hours (8 AM – 2 PM ET) to spread out GPU load.

• OpenAI’s IPO Roadmap: Analyzing CFO Sarah Friar’s strategy to reach a 50/50 revenue split between consumers and enterprise by 2027.

• The Death of the Side Quest: Why OpenAI killed Sora and Adult Mode to focus on profitable B2B verticals.

• Codex Plugins & Ecosystem Lock-in: How OpenAI is integrating GitHub, Slack, and Google Drive directly into developer workflows.

• The Mythos Cyber-Offensive Leak: Analysis of the ‘Capybara’ tier and its ability to autonomously discover zero-day vulnerabilities in enterprise codebases.

• Pharma Verticalization: Deconstructing the $2.75B deal between Eli Lilly and Insilico Medicine for AI-discovered compounds.

• The Amodei-Altman Grudge: How the personal history between Anthropic and OpenAI founders is dictating global AI policy.

Strategic Signal: Vertical Integration and the Action-Hardware Link.

Keywords: OpenAI IPO, Anthropic Mythos Leak, Codex Plugins, Inference Economics, Eli Lilly AI, Enterprise AI Security, DjamgaMind.

🔗 RESOURCES & CAREERS

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.

Claude’s rise brings outages and usage limits

Claude is exploding in popularity, and that has consequences.

Anthropic’s quirky chatbot has been on a tear during the opening months of 2026. In fact, it’s been gaining new users so quickly that it’s facing serious growing pains. In recent weeks, Claude has faced a series of outages that have caused it to dip below the 99% uptime standard for most applications.

And because of Claude’s growing popularity and the company’s difficulty handling the rapid influx of new users, it is now adjusting how users burn through their limits during peak hours. On weekdays between 8:00 am and 2:00 pm ET, users across the Free, Pro, and Max tiers will all hit their session limits faster, an Anthropic engineer explained on X.

He estimated that the changes will impact about 7% of users and recommended that people shift highly intensive background jobs to non-peak hours.

So what does this mean in practice?

• It’s surge pricing for chatbots: This is essentially the same thing Uber does for ride costs during rush hour. But instead of changing more money, Anthropic is trying to change user behavior to spread out the requests made to Claude.

• Most users won’t be impacted: If all you do is use Claude to ask questions and help create documents, then this move is good for you, as it will likely increase Claude’s uptime and performance for those tasks.

• Peak hours cost more per action: Before this change, 1 prompt used 1 unit of your Claude usage budget, and the cost stayed the same all day. Now, during peak hours, 1 prompt might equal 1.5 to 2 units (Anthropic hasn’t said what the exact formula will be).

The move doesn’t come as a surprise, since Claude’s growth has been so meteoric in such a short time. It’s no secret how expensive it is to run chatbots and how hard it is for these companies to obtain the GPUs and compute necessary to grow. A report from consumer transactions analysis company Indagari and analyzed by TechCrunch (see chart below), shows Claude’s paid users skyrocketed in the first two months of 2026.

Reddit, Wikipedia fight AI while feeding it

Wikipedia and Reddit built their reputations on human-curated content. In the age of AI, both platforms are fighting to stay human-first.

On Wednesday, Reddit CEO Steve Huffman emphasized the company’s mission to keep humans at the center, keeping Reddit a place where “people can talk to people.” In the Reddit post, Huffman included plans to prevent confusion between AI-written and human-written content.

The biggest change is that any accounts that use automation for allowed tasks, also known as “good-bots,” will be clearly labeled as “[App],” signalling to users that they are interacting with a machine instead of a human. Other changes include:

• Removal of bots: “Bad bots” or nefarious bot content will continue to be removed before users see it. At the moment, that’s about 100K accounts per day, according to Huffman.

• Human verification: Reddit may occasionally ask users to verify they’re human if content appears AI-generated, though this will be rare and focused on humanity rather than identity.

• Reporting: Users will be able to report suspicious content more easily.

Huffman also acknowledged that many people use AI to write, so Reddit isn’t curbing all AI-generated content. Overall, the comments were positive, with Reddit users celebrating that it would remain human first.

Reddit’s announcement followed a similar decree from Wikipedia, which last week enacted a new policy prohibiting the use of large language models to generate or rewrite article content. At most, editors may use it for copyediting or translation.

These changes come as demand for human-created content rises and the lines between authentic and machine-generated content become increasingly blurred.

Reddit’s web traffic has continued its upward trajectory, with SimilarWeb data showing approximately 12% year-over-year growth in February. Wikipedia has not seen a similar boost as Reddit in the AI era, with traffic declining 8.8% year over year in February, according to Similiarweb data.

An emphasis on human content could help both platforms yield more immediate gains with readers, according to Joseph Levi, co-founder and CEO of Noise Media, who is exploring how to make brands stand out in the age of AI.

“For Reddit and Wikipedia, cracking down on AI-generated content is ultimately about protecting trust, and trust is what underpins their value in both SEO and AI discovery,” said Levi. “Search engines and AI tools increasingly reward credible, distinctive, human-informed content, so preserving that standard is likely to strengthen their authority over time.”

Both companies currently have deals with AI companies to train on their data, making their positions on AI-generated content all the more nebulous. Wikimedia Enterprise has deals with Amazon, Meta, Google and Perplexity, and Reddit has a long-standing partnership with Google.

Keeping bots off platforms helps preserve their integrity, but there’s an obvious paradox: Licensing that same data to AI companies to train their models only fuels the very problem they’re trying to solve.

Codex gets plugins as OpenAI goes enterprise

Another day, another coding tool upgrade, this time from OpenAI.

On Thursday, OpenAI began rolling out plugins in its agentic coding platform, Codex. OpenAI describes plugins as “installable bundles for reusable Codex workflow” that can contain skills, apps, and MCP servers, with more components coming soon.

Simply put, plugins let users integrate ready-made workflows or app integrations, such as Google Drive, GitHub or Slack, into their Codex workspace. These plugins, created by OpenAI, are available in the Codex directory, but users can also create their own plugins or import them from another ecosystem.

Beyond expanding what users can do in Codex, plugins also streamline processes and make it easier to share setups across projects or teams. These advantages will likely boost developer productivity, but the real appeal is that Claude Code users have had access to this for a while, underscoring OpenAI’s recent push to capture a larger enterprise audience.

That push appears tied to a larger goal: preparing for a possible IPO, something CFO Sarah Friar acknowledged directly when pressed on the topic.

“Over the long run, look, we have to build a company that’s ready to be a public company, ” Friar told CNBC.

Part of that effort means cutting costs and leaning into more lucrative opportunities, such as enterprise.

This week, OpenAI announced the shutdown of its Sora generative AI video platform and app, just six months after launch, and, as a result, ended its $1 billion content partnership with Disney. Separately, the Financial Times reported that OpenAI was “indefinitely” putting on hold its ChatGPT “adult mode,” which was supposed to allow users to create erotic content.

Friar added that the enterprise business is “a very profitable business at scale, and that’s how we will build a sustainable business model.” Currently, 60% of OpenAI’s revenue comes from consumers and 40% from enterprise, but Friar expects that to reach a 50-50 split by year’s end.

Anthropic is the clearest example of the success that comes from enterprise businesses, as the company has focused on enterprise offerings, and as a result, roughly 80% of its revenue comes from enterprises, according to CEO Dario Amodei.

Anthropic accidentally leaks ‘Mythos’ AI details

Details of Anthropic’s next flagship AI, Claude Mythos, surfaced this week after the company’s CMS left launch materials in an unsecured data store, with the leaked blog calling it ‘a step change’ and Anthropic’s most capable system to date.

The details:

• A CMS configuration error left thousands of unpublished assets, including a draft blog post about the model, in a publicly accessible data cache.

• The draft placed Mythos in a new “Capybara” tier that would sit above its Opus class, both larger and more expensive to run.

• Anthropic flagged the model as “currently far ahead of any other AI model in cyber capabilities” and warned it could help hackers outpace defenders.

• Anthropic confirmed to Fortune that a “new general purpose model with meaningful advances in reasoning, coding, and cybersecurity” is being tested.

Why it matters: A safety-focused AI lab ‘accidentally’ leaving its most powerful model’s launch plans in a public data store has a similar vibe to OpenAI’s Q*-era leaks, where conveniently timed rumors doubled as free hype. Accidental or not, a new model tier above Opus sounds like another major next step up the frontier ladder.

The personal war behind OpenAI and Anthropic

Image source: India AI Impact Summit

The WSJ just laid out the personal grudges, power struggles, and broken promises between Sam Altman and Dario Amodei that trace back to an SF group house in 2016, with the fallout shaping the rivalry between the two AI leaders.

The details:

• Dario (2016-2020) and Daniela Amodei (2018-2020) worked at OAI prior to Anthropic, with the WSJ detailing early issues with co-founder Greg Brockman.

• Brockman reportedly once floated selling AGI to UN Security Council nuclear powers, a proposal Dario considered ‘tantamount to treason.’

• The WSJ also reported that Altman accused the Amodeis of plotting against him to the board in a private meeting, then denied it when confronted.

• Amodei privately likened Altman/Musk suit to Hitler vs. Stalin, called Brockman’s pro-Trump PAC donation ‘evil’, and compared OAI to Big Tobacco.

Why it matters: Kudos to the WSJ for these nuggets that paint a much deeper picture of the decade-long drama between Amodei and Altman. The grudges are entertaining, but they’re also steering the trajectory of two of the most important AI companies — with impacts that ripple through much more than just a personal rivalry.

Nicolas Carlini (67.2k citations on Google Scholar) says Claude is a better security researcher than him, made $3.7 million from exploiting smart contracts, and found vulnerabilities in Linux and Ghost

The Linux exploit is especially interesting because it was introduced in 2003 and was never found until now. It’s also a major security issue because it allows attackers to steal the admin key. It was a buffer overflow error, which are so hard to do that Carlini has never done it before.

He also says he expects LLMs to only get better overtime, which is likely true if Mythos lives up to the rumors.

here are his Wikipedia and Google Scholar pages in case you doubt his credibility: https://en.wikipedia.org/wiki/Nicholas_Carlini

https://scholar.google.com/citations?view_op=search_authors&hl=en&mauthors=carlini&btnG=

Anthropic CEO: “ I have engineers within anthropic who don’t write any code, they just let Claude write the code and they edit it and look it over”

“At anthropic writing code means designing the next version of Claude it self, so we essentially have Claude designing the next version of Claude itself, not completely but most of it”.

In the last 52 days, the Claude team dropped 50+ major feature launches.

This is literally INSANE.

and you are here opposing coding with ai

What Else Happened in AI on March 30th 2026?

Sam Altman reportedly told OAI staff he tried to “save” Anthropic during its Pentagon standoff, per Slack messages seen by Axios — even as OpenAI locked in its own deal.

xAI’s Ross Nordeen reportedly departed the company this week, who was the last remaining of the original 11 co-founders at the startup besides Elon Musk.

Pharma giant Eli Lilly entered a $2.75B deal with Hong Kong’s Insilico Medicine to license its AI-discovered drug pipeline, with 28 compounds already in development.

Anthropic won a federal injunction blocking the Trump administration’s supply-chain-risk designation, with the judge calling it “classic illegal First Amendment retaliation.”

Google expanded the rollout of its Live Translate feature to iOS, turning any pair of headphones into a real-time interpreter across 70+ languages.

Police used AI facial recognition to arrest a Tennessee woman for crimes committed in a state she says she’s never visited [LINK]

Big tech was embracing clean energy and turning a corner on climate change. Then AI data centers arrived. [LINK]

AI is denying health care claims [https://www.palmbeachpost.com/story/news/healthcare/2026/03/30/ai-is-denying-health-care-claims/88221783007/]

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 to enjoy all our daily episodes completely ads-FREE at https://djamgamind.com/daily

🚀 Welcome to the AI Unraveled Weekly Recap. This week, the industry reached its “Hardware Inflection.” We track the multi-billion dollar shift into custom silicon, the geopolitical legal war over Anthropic, and the death of the generative video hype cycle.

This episode is made possible by our sponsor:

🎙 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

In This Weekly Recap:

• The Hardware Pivot: Elon Musk’s $25B Terafab and Arm’s debut “AGI CPU.”

• Claude Mythos: Deconstructing the leaked “Capybara” tier model and its cyber-offensive risks.

• Apple’s iOS 27 Siri: The move from exclusive partner to AI “Storefront.”

• Meta TRIBE v2: Simulating 70,000 brain regions to replace expensive medical scans.

• The 2029 Quantum Cliff: Why Google is racing to move the world to post-quantum cryptography.

• The Death of Sora: Why the Disney deal died and why OpenAI is killing “side quests.”

• Zuck’s AI Chief of Staff: Mark Zuckerberg’s personal agentic move to bypass Meta’s corporate layers.

Strategic Signal: Vertical Integration and the Action-Hardware Link. Credits: Created and produced by Etienne Noumen.

Keywords: Elon Musk Terafab, Claude Mythos Leak, Meta TRIBE v2, Arm AGI CPU, Amazon Fauna Robotics, Apple iOS 27 Siri, Google 2029 Quantum, OpenAI Sora Shutdown, Jensen Huang AGI, DjamgaMind, AI Unraveled.

🔗 RESOURCES & CAREERS

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.

Meta AI model predicts human brain reactions

• Meta’s FAIR lab built an AI model called TRIBE v2 that predicts how the human brain reacts to images, sounds, and speech, often matching the typical brain response better than any single person’s fMRI scan.

• TRIBE v2 was trained on over 1,000 hours of fMRI data from 720 subjects and predicts brain maps with 70,000 voxels, a huge jump from TRIBE v1, which covered just four subjects and 1,000 voxels.

• The model still has significant limitations: fMRI only tracks blood flow with a seconds-long delay, three sensory channels are missing, and it treats the brain as a passive receiver without modeling decisions or actions.

Meta plans Ray-Ban smart glasses for prescription wearers

• Meta is preparing to release new Ray-Ban smart glasses built specifically for people who already wear prescription lenses, according to a report from Bloomberg.

• FCC filings for two models called “Scriber” and “Blazer” show they are production units with Wi-Fi 6 UNII-4 band support, which could enable faster data transfers and livestreaming.

• The new glasses would be sold through traditional prescription eyewear channels, though it remains unclear how their design will differ from existing Ray-Ban Meta models beyond the prescription focus.

Yahoo launches AI answer engine Scout

• Yahoo has launched Scout, an AI-powered answer engine now available to its 250 million U.S. users, aiming to simplify online search and deliver more personal results tied to each person’s interests.

• CEO Jim Lanzone, who took over after Apollo Global Management bought Yahoo for $5 billion in 2021, has been cutting dysfunctional parts and overhauling services like email and fantasy sports.

• Scout runs on AI technology licensed from Anthropic and will compete against Google’s Gemini, OpenAI’s ChatGPT, Anthropic’s Claude, and the answer engine Perplexity in a crowded market.

Judge blocks Pentagon from blacklisting Anthropic

• A federal judge ordered the Trump administration to reverse its decision labeling Anthropic a “supply chain risk” and blocked the Pentagon from forcing federal agencies to cut ties with the company.

• The conflict started when Anthropic tried to enforce limits on government use of its AI models, including bans on autonomous weapons systems and mass surveillance, which the Pentagon rejected.

• Judge Rita F. Lin said the government’s orders appeared to be “an attempt to cripple Anthropic” and ruled they had violated the company’s free speech protections under the law.

Anthropic data leak reveals Claude Mythos AI model

• A data leak from Anthropic’s content management system revealed that the company is testing a new AI model called Claude Mythos, which it describes as the most capable model it has built.

• The leaked draft blog post says Mythos belongs to a new “Capybara” tier that is larger and more expensive than Opus, with dramatically higher scores in coding, reasoning, and cybersecurity.

• Anthropic says the model is “currently far ahead of any other AI model in cyber capabilities” and plans to release it first to defenders so they can harden their code against AI-driven exploits.

Apple plans to open Siri to rival AI assistants in iOS 27

• Apple reportedly plans to let rival AI services like Google’s Gemini and Anthropic’s Claude plug directly into Siri through a new Extensions system in iOS 27, ending ChatGPT’s exclusive access.

• Rather than building the best AI assistant itself, Apple is turning Siri into a storefront where every chatbot competes, and Apple collects its standard App Store commission on subscriptions.

• OpenAI loses its exclusive Siri position, while AI companies face a prisoner’s dilemma: accept Apple’s 30% cut or stay invisible on 1.2 billion active iPhones.

Wikipedia bans AI-generated articles

• Wikipedia editors overwhelmingly voted 40 to 2 to ban the use of LLMs to generate or rewrite article content, updating earlier, vaguer language that only discouraged creating new articles from scratch.

• The new policy still allows editors to use LLMs for suggesting basic copyedits to their own writing, as long as a human reviews the changes and the LLM does not introduce content of its own.

• The policy warns that LLMs can go beyond what editors ask and change the meaning of text so that it no longer matches the sources cited, which is why caution is required.

OpenAI pauses erotic chatbot plans indefinitely

• OpenAI has paused its plans to launch an erotic “adult mode” for ChatGPT indefinitely, confirming to the Financial Times that it is shifting focus toward its core products instead.

• The company wants more time to research the potentially harmful effects of sexually explicit chats and the emotional attachments they may create, while investors also weren’t excited about the project.

• This is the second major product OpenAI pulled back this week, after discontinuing its Sora AI video-generation app to redirect compute power to other higher-priority projects going forward.

Apple may build smaller AI models from Gemini

• Apple has gained full access to Google’s Gemini model and plans to distill it into smaller models that can run directly on Apple devices without an internet connection.

• The distillation process works by feeding Gemini’s high-quality answers and reasoning information into smaller, cheaper models that learn its internal computations while requiring less computing power.

• Apple is building a smarter, chatbot version of Siri for iOS 27 using Gemini, but has hit issues because Gemini was tuned for chatbot and coding tasks that don’t always match Apple’s needs.

Quantum computers could break encryption by 2029, warns Google

• Google published a formal plan to move all of its infrastructure to post-quantum cryptography by 2029, warning that quantum computers capable of breaking current encryption may arrive sooner than expected.

• The company highlighted “harvest now, decrypt later” attacks as an already active threat, where bad actors steal encrypted data today planning to unlock it once quantum machines become powerful enough.

• Over 6.8 million Bitcoin sitting in vulnerable addresses could eventually be at risk, but Bitcoin developers have started work on quantum-resistant upgrades through BIP 360, a new address format proposal.

Google TurboQuant cuts AI memory use by 6x

• Google Research announced TurboQuant, a new compression algorithm that can reduce AI working memory — known as the KV cache — by at least 6x without losing performance or accuracy.

• The method combines two techniques called PolarQuant and QJL, using vector quantization to clear cache bottlenecks, and the team plans to present their findings at ICLR 2026 next month.

• TurboQuant is still a lab breakthrough and only targets inference memory, not training, so it wouldn’t solve the wider RAM shortages even if successfully deployed in real-world systems.

Reddit to require human verification for suspicious accounts

• Reddit will now force accounts flagged for suspicious behavior to verify they are human, using passkeys, biometrics, and bot labeling as the platform removes around 100,000 automated accounts every day.

• CEO Steve Huffman said passkeys serve as a baseline check but cannot prove individuality, while biometric options like World ID’s iris-scanning and Face ID offer stronger proof but raise privacy concerns.

• Co-founder Alexis Ohanian expressed skepticism about selling face-scanning to Redditors, highlighting tension between the platform’s pseudonymous culture and the technical demands of proving personhood at scale.

OpenAI shuts down Sora after 6 months

• OpenAI said on Tuesday it is shutting down its TikTok-like Sora social video app after just six months, without giving a reason or a timeline for when it will officially be discontinued.

• The app peaked at about 3,332,200 downloads in November but dropped to 1,128,700 by February, earning only around $2.1 million from in-app purchases during its entire lifetime.

• The shutdown also kills a $1 billion Disney licensing deal that would have let Sora generate videos featuring Disney, Marvel, Pixar, and Star Wars characters, though no money apparently changed hands.

Arm releases first in-house chip, with Meta as debut customer

• Arm Holdings has released its first in-house chip, the Arm AGI CPU, after nearly 36 years of only licensing its designs to companies like Nvidia and Apple, with Meta as its debut customer.

• The Arm AGI CPU is a production-ready processor built for running inference in AI data centers, developed using the Arm Neoverse family of CPU IP cores through a partnership with Meta.

• Arm started developing the chips back in 2023, and they are already ready to order, marking a historic shift from exclusively licensing designs to now competing alongside many of its partners.

Amazon acquires ‘approachable’ humanoid maker Fauna Robotics

• Amazon has acquired Fauna Robotics, a startup that makes “approachable” humanoid robots designed for consumers and businesses, though the companies did not share the financial terms of the deal.

• Fauna Robotics was founded in 2024 by former Meta and Google engineers and earlier this year launched Sprout, a $50,000 bipedal robot standing 3.5 feet tall and weighing 50 lbs.

• Fauna’s roughly 50 employees will join Amazon in New York City, and the company will continue to operate as Fauna Robotics under Amazon, according to CEO Rob Cochran.

Trump appoints tech CEOs to White House council

• President Trump has appointed CEOs from Meta, NVIDIA, Dell, Oracle, and AMD, along with Google co-founder Sergey Brin and venture capitalist Marc Andreessen, to a White House science and technology advisory council.

• The President’s Council of Advisors on Science and Technology currently has 13 members, co-chaired by White House AI and cryptocurrency czar David Sacks and Trump’s science advisor Michael Kratsios, with room to grow to 24.

• Several of these tech leaders have direct financial ties to Trump, including donations to his inauguration, funding construction of his White House ballroom, and business deals like Oracle’s backing of the TikTok takeover.

Anthropic lets Claude control your Mac to complete tasks

• Anthropic announced that Claude can now take control of your Mac to complete tasks like sending files, clicking around your screen, and typing — if you subscribe to Claude Pro or Max.

• Claude connects to apps like Google Calendar or Slack, but when no connector exists, it manually operates your computer by scrolling, clicking, and typing, always asking for permission first.

• Anthropic warns the feature is new and may contain errors, suggests avoiding apps that handle sensitive data, and says some of those apps are disabled by default as a safeguard.

Jensen Huang claims AGI has already been achieved

• NVIDIA CEO Jensen Huang told Lex Fridman on his podcast that he believes AGI has already been achieved, pointing to agentic tools that could theoretically build and run a viral app.

• The claim matters because OpenAI’s partnership with Microsoft includes escape clauses tied to AGI, though their contract defines it as an AI model generating $100 billion in profit.

• Microsoft has been preparing for a possible split by restructuring its AI division to focus on its own models, while tensions grow over OpenAI’s latest funding round and competing partnerships.

OpenAI flags Microsoft dependence as IPO risk

• OpenAI identified its heavy reliance on Microsoft as a business risk in a financial document shared with investors, noting that Microsoft provides “a substantial portion” of its financing and compute.

• The document also flagged risks including a global chip shortage, potential disruption to Taiwan Semiconductor Manufacturing Company from regional conflict, and roughly $665 billion in compute spend commitments through 2030.

• OpenAI disclosed at least 14 lawsuits from ChatGPT users or families blaming its products for mental illness leading to suicide or injury, plus three separate lawsuits from Elon Musk or xAI.

Musk unveils $25B Terafab chip factory

• Elon Musk announced plans to build a chip factory called Terafab, a joint project between Tesla and SpaceX, with an estimated cost of $25 billion near Tesla’s Austin headquarters.

• Musk said semiconductor manufacturers aren’t making chips fast enough for his companies’ artificial intelligence and robotics needs, so he decided to build the facility himself.

• The factory aims to produce chips supporting 100 to 200 gigawatts of computing power per year on Earth and a terawatt in space, though Musk gave no timeline.

Zuckerberg builds an AI agent to help him run Meta

• Mark Zuckerberg is reportedly building a personal AI agent to help him run Meta, mainly by speeding up information retrieval without going through multiple layers of people or teams.

• Meta employees are already using agentic tools like MyClaw for accessing work files and chat logs, and Second Brain, built on Anthropic’s Claude, which is described internally as an “AI chief of staff.”

• The push comes as Meta tries to compete with AI-native startups that have smaller teams, and a separate Reuters report claims the company may be planning layoffs affecting up to 20% of its workforce.

ChatGPT’s first advertisers can’t prove ads work

• OpenAI’s first advertising partners — WPP, Omnicom, and Dentsu — are struggling to prove that ChatGPT ads actually work, with click-through rates running nearly 7x below Google search benchmarks.

• One brand’s click-through rate on ChatGPT ads hit just 0.91% compared to Google’s 6.4%, and a separate advertiser spent only 3% of a $250,000 budget after several weeks.

• Measurement tools are also broken — a reporting glitch in OpenAI’s Ad Manager blocks advertisers from seeing their own data, making it impossible to optimize campaigns or justify continued spend.

What Else Happened in AI this week from March 22nd to March 29th 2026?

Number of AI chatbots ignoring human instructions increasing, study says.[LINK]

Mistral releases a new open source model for speech generation.[LINK]

Google employees have a new AI tool called ‘Agent Smith.’ It’s so popular that access got restricted.[LINK]

UnitedHealthcare Unveils AI Compaanion to Improve Navigation.[LINK]

Google rolled out Gemini 3.1 Flash Live, a new voice AI with upgrades in speed, task completion, and realism, to power convos across Search, Gemini Live, and its API.

Mistral released Voxtral TTS, a lightweight voice AI that clones any speaker from a 3-second clip and generates natural-sounding speech across 9 languages.

OpenAI has reportedly shelved its planned erotic chatbot mode indefinitely after pushback from staff and investors.

Novo Nordisk is deploying AI agents across clinical trial ops, with the pharma giant saying the tech is trimming approval timelines and reducing the need for contractors.

Suno launched v5.5 of its AI music generator, adding voice cloning, custom model tuning, and personalized style learning for Pro subscribers.

Cohere released Transcribe, a free open-source speech recognition model that tops HuggingFace’s accuracy leaderboard across 14 languages — taking the No. 1 spot.

OpenAI is raising another $10B to push its record funding round past $120B, with Microsoft, a16z, and T. Rowe Price joining the round.

Google upgraded its music AI model to generate full 3-minute songs with intros, verses, and choruses, with Lyria 3 Pro rolling out in Gemini, Vertex AI, and Google Vids.

Bret Taylor’s Sierra introduced Ghostwriter, an AI agent that builds other AI agents — letting companies create customer service bots across voice, chat, and 30+ languages.

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

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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 to enjoy all our daily episodes completely ads-FREE at https://djamgamind.com/daily

🚀 Welcome to AI Unraveled. Today, we cut through the PR and look at the forensics. Anthropic leaks a potential zero-day weapon, MIT proves AI isn’t replacing engineers, and Meta open-sources a model that outperforms real human brain scans.

This episode is made possible by our sponsor:

🎙 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

In Today’s Briefing:

• Claude Mythos Leak: Anthropic’s next-gen model exposed as a potential tool for automated cyber espionage and zero-day discovery.

• The MIT Layoff Study: The forensic proof that 95% of tech layoffs were not caused by AI, and why “Vibe Coding” is failing in production.

• Meta TRIBE v2: A brain encoding model that simulates neural responses across video, audio, and text, outperforming real fMRI recordings.

• Nvidia Nemotron 3 Super: The fastest open-weights model in its class, clocking 442 tokens per second via hardware-software co-design.

• Apple’s Siri Extensions: Opening the iPhone moat to Gemini, Claude, and ChatGPT in iOS 27.

• Quantum Warning 2029: Google’s roadmap to survive “Harvest Now, Decrypt Later” attacks.

• Wikipedia’s AI Ban: Why the world’s knowledge base is holding the human line against “enshittification.”

Strategic Signal: The Shift from Generative Hype to Technical Utility. Credits: Created and produced by Etienne Noumen.

Keywords: Claude Mythos Leak, Anthropic Zero-Day, MIT AI Layoff Study, Meta TRIBE v2, Nvidia Nemotron 3 Super, Google Quantum 2029, Apple iOS 27 Siri, ChatGPT Ad Revenue, Wikipedia AI Ban, DjamgaMind, AI Unraveled.

🔗 RESOURCES & CAREERS

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Anthropic just leaked details of its next‑gen AI model Mythos – and it’s raising alarms about cybersecurity

A configuration error exposed ~3,000 internal documents from Anthropic, including draft blog posts about a new model codenamed Claude Mythos. According to the leaked drafts, the model is described as a “step change” in capability, but internal assessments flag it for serious cybersecurity risks:

• Automated discovery of zero‑day vulnerabilities

• Orchestrating multi‑stage cyberattacks

• Operating with greater autonomy than any previous AI

The leak confirms what many have suspected: as AI models get more powerful, they also become more dangerous weapons. Anthropic has previously published reports on AI‑orchestrated cyber espionage, but this time the risk is baked into their own pre‑release model.

ChatGPT hits $100M in ad revenue:

It has only been six weeks since OpenAI began experimenting with showing ads in ChatGPT results. Nonetheless, the company already reports that they’ve hit $100 million in annual ad revenue from the campaign. Most of the users signed up for the Free or Go tiers are eligible for the ad program, but so far, OpenAI reports that just 20% of ChatGPT users have actually enjoyed an ad-supported experience. So there is way more room for this program to grow. Up next: “self-serve” access for advertisers in April, while Canada, Australia, and New Zealand are likely to start seeing ads soon.

Google makes it easier to switch to Gemini:

In a blog post, the company announced a line-up of new Gemini tools allowing users to upload their chat histories and context from other AI apps, like ChatGPT or Claude. The “import” option is available to free and paid users, and Google even provides a recommended prompt to use, so your former chatbot will compile and contribute the most crucial information and context. So for those keeping score, we’re now we’re having the AIs train other AIs to take over their jobs. The betrayal!

Meta’s brain model beats real fMRI scans

Image source: Meta

Meta just open-sourced TRIBE v2, an AI model trained on brain scans from 700+ people that simulates neural activity across vision, hearing, and language — with its synthetic predictions actually outperforming real fMRI recordings.

The details:

• Trained on 1,000+ hours of brain data, v2 leaps from 1,000 brain regions to 70,000, with 700+ subjects up from just 4 volunteers in the original.

• TRIBE v2’s predictions matched population-level brain activity better than most real scans, which often get clouded by heartbeats, movement, and noise.

• The team replicated decades of neuroscience findings in software, correctly pinpointing brain regions for faces, speech, and text with zero scans.

• Meta open-sourced the code, weights, and a live demo, letting any researcher start running virtual brain experiments without building from scratch.

Why it matters: Neuroscience has long required putting people inside expensive scanners for every new experiment, a bottleneck that’s kept entire fields moving one study at a time. TRIBE v2 could do for brain research what AlphaFold did for protein structure: compress months of scanning into seconds of compute.

Apple to unlock Siri for rival AI assistants

Image source: Apple

The Rundown: Apple plans to open up the upcoming Siri revamp for other models starting with iOS 27, according to Bloomberg — ending ChatGPT’s exclusive integration and letting users choose which AI handles their queries directly from the assistant.

The details:

• Users will be able to pick their preferred AI in ‘extensions’ settings and route questions to models of their choice via Siri with the incoming iOS 27.

• ChatGPT is currently the only model compatible with Siri commands via its 2024 deal, but use of that integration has reportedly been ‘minimal’.

• Bloomberg said chatbots in the App Store could also be a revenue stream, with Apple taking a cut of AI subscriptions purchased across its devices.

• Apple is expected to introduce the new Siri AI overhaul powered by Gemini at its WWDC developer event in early June.

Why it matters: Google is already rebuilding Siri’s underlying tech with Gemini, and ChatGPT has had a spot since 2024. Now, Apple is letting the rest of the field in to provide more user choice. It’s a smart move — skip the model war entirely, layer the best AI on top of a billion iPhones, and let its hardware moat do the rest.

OpenAI pauses erotic chatbot plans indefinitely

• OpenAI has paused its plans to launch an erotic “adult mode” for ChatGPT indefinitely, confirming to the Financial Times that it is shifting focus toward its core products instead.

• The company wants more time to research the potentially harmful effects of sexually explicit chats and the emotional attachments they may create, while investors also weren’t excited about the project.

• This is the second major product OpenAI pulled back this week, after discontinuing its Sora AI video-generation app to redirect compute power to other higher-priority projects going forward.

Apple may build smaller AI models from Gemini

• Apple has gained full access to Google’s Gemini model and plans to distill it into smaller models that can run directly on Apple devices without an internet connection.

• The distillation process works by feeding Gemini’s high-quality answers and reasoning information into smaller, cheaper models that learn its internal computations while requiring less computing power.

• Apple is building a smarter, chatbot version of Siri for iOS 27 using Gemini, but has hit issues because Gemini was tuned for chatbot and coding tasks that don’t always match Apple’s needs.

Quantum computers could break encryption by 2029, warns Google

• Google published a formal plan to move all of its infrastructure to post-quantum cryptography by 2029, warning that quantum computers capable of breaking current encryption may arrive sooner than expected.

• The company highlighted “harvest now, decrypt later” attacks as an already active threat, where bad actors steal encrypted data today planning to unlock it once quantum machines become powerful enough.

• Over 6.8 million Bitcoin sitting in vulnerable addresses could eventually be at risk, but Bitcoin developers have started work on quantum-resistant upgrades through BIP 360, a new address format proposal.

Google TurboQuant cuts AI memory use by 6x

• Google Research announced TurboQuant, a new compression algorithm that can reduce AI working memory — known as the KV cache — by at least 6x without losing performance or accuracy.

• The method combines two techniques called PolarQuant and QJL, using vector quantization to clear cache bottlenecks, and the team plans to present their findings at ICLR 2026 next month.

• TurboQuant is still a lab breakthrough and only targets inference memory, not training, so it wouldn’t solve the wider RAM shortages even if successfully deployed in real-world systems.

Reddit to require human verification for suspicious accounts

• Reddit will now force accounts flagged for suspicious behavior to verify they are human, using passkeys, biometrics, and bot labeling as the platform removes around 100,000 automated accounts every day.

• CEO Steve Huffman said passkeys serve as a baseline check but cannot prove individuality, while biometric options like World ID’s iris-scanning and Face ID offer stronger proof but raise privacy concerns.

• Co-founder Alexis Ohanian expressed skepticism about selling face-scanning to Redditors, highlighting tension between the platform’s pseudonymous culture and the technical demands of proving personhood at scale.

Wikipedia bans AI from writing its articles

Image source: Wikipedia

Wikipedia’s volunteer editors banned the use of AI to write articles on the foundation’s English-language site, a move the policy’s author called a “pushback against enshittification and forceful push of AI by so many companies”.

The details:

• Prior attempts at broad AI rules failed to reach consensus, but mounting AI-generated errors pushed editors to a near-unanimous 40-2 vote.

• The ban covers writing or rewriting articles with LLMs, with editors still allowed to use AI for grammar fixes and translations with human review.

• The policy’s author said the change could “spark a broader change” and “empower communities on other platforms” to set AI rules on their own terms.

• StackOverflow and German Wikipedia have enacted similar bans, with Spanish Wikipedia going further to fully ban the use of AI, even for editing purposes.

Why it matters: AI text reportedly surpassed human output for the first time in 2025, and Wikipedia is trying to hold the human line, all while Elon pushes Grokipedia (an AI-created version of Wikipedia) in the exact opposite direction. The internet’s most-used knowledge base bet against the current, but how long that holds is anyone’s guess.

Open-Source Speed Demon

Nvidia, the dominant supplier of AI chips, released a competitive open-source large language model whose speed tops its size class — the first open-weights leader to come from the United States since last year, when Meta delivered Llama 4.

What’s new: Nvidia released Nemotron 3 Super 120B-A12B, a large language model designed for agentic applications, including not only weights but also training datasets and recipes. It is the second in a planned family of three: Nvidia released Nemotron 3 Nano-39B-A3B in December 2025, and Nemotron 3 Ultra-500B-A50B is forthcoming.

• Input/output: Text in (up to 1 million tokens), text out (up to 1 million tokens)

• Knowledge cutoff: June 2025 (pretraining data), February 2026 (fine-tuning data)

• Architecture: Hybrid mamba-2/transformer/mixture-of-experts with multi-token prediction layers (120 billion parameters, 12 billion active per token)

• Training data: 25 trillion tokens of curated data scraped from the web and synthesized in 20 natural languages and 43 programming languages

• Features: Tool calling, structured outputs, seven languages (Chinese, English, French, German, Italian, Japanese, Spanish), reasoning modes (off, low, regular)

• Performance: Fastest open-weights model of its size (442 output tokens per second), leads open-weights models on PinchBench test of agentic tasks

• Availability/price: Weights and datasets free to download under a license that permits noncommercial and commercial uses (rights terminate if safety guardrails are removed without replacement or if the user files patent or copyright litigation against Nvidia), free chat via Nvidia and OpenRouter, API around $0.30/$0.80 per 1 million tokens of input/output via third-party providers

How it works: Nemotron 3 Super’s hybrid architecture interleaves mamba-2, attention, and modified MoE layers with multi-token prediction heads that generate a number of tokens per forward pass.

Behind the news: Nvidia plans to invest $26 billion over five years to develop open-weights models — a substantial commitment. The announcement coincides with shifts in the open-weights landscape that could affect Nvidia’s business. Chinese companies, including Alibaba, Moonshot AI, and Z.ai, lately have built the most capable open-weights models, and they are building alternatives to Nvidia GPUs and Cuda software. For instance, DeepSeek has reportedly trained an upcoming model entirely on Huawei’s Ascend chips and Cann software.

Why it matters: Nemotron 3 Super gives developers a fast, fully open model for agentic applications, with training data, recipes, and tools alongside the weights. This openness also serves Nvidia’s business goals. Chinese open-weights models are growing more capable and increasingly streamlined to run on non-Nvidia chips, creating a risk that developers who previously relied on Nvidia will look elsewhere. Nemotron gives them a reason not to.

We’re thinking: Who better to optimize a model for GPUs than the company that designs the GPUs? From custom numerical formats to inference software, Nvidia can co-design hardware and software in ways that few model developers can match. Nvidia is betting that building models will help sell chips and vice versa.

The “AI is replacing software engineers” narrative was a lie. MIT just published the math proving why. And the companies who believed it are now begging their old engineers to come back.

Since 2022, the tech industry has been running a coordinated narrative.

AI will replace 80 to 90% of software engineers. Learning to code is pointless. Developers are obsolete. but what if i tell you that It wasn’t a prediction. It was a headline designed to create fear. And it worked on millions of students and engineers who genuinely believed their careers were over before they started.

It’s 2026 now. Let’s look at what actually happened.

In 2025, 1.17 million tech workers were laid off. Everyone said it was AI. Companies said it was AI. The news said it was AI.

You want to know what percentage of those people actually lost their jobs because AI automated their work?…5%, I’m not lying atp, its literally around 5%, 55k people out of 1.17 million. That’s it.

And according to an MIT study, nearly 95% of companies that adopted AI haven’t seen meaningful productivity gains despite investing millions. The revolution that was supposed to make engineers obsolete couldn’t even pay for itself.

now coming to the main point, So if AI didn’t cause the layoffs, what did?

Source : https://arxiv.org/pdf/2505.10465

What Else Happened in AI on March 27th 2026?

Google rolled out Gemini 3.1 Flash Live, a new voice AI with upgrades in speed, task completion, and realism, to power convos across Search, Gemini Live, and its API.

Mistral released Voxtral TTS, a lightweight voice AI that clones any speaker from a 3-second clip and generates natural-sounding speech across 9 languages.

OpenAI has reportedly shelved its planned erotic chatbot mode indefinitely after pushback from staff and investors.

Novo Nordisk is deploying AI agents across clinical trial ops, with the pharma giant saying the tech is trimming approval timelines and reducing the need for contractors.

Suno launched v5.5 of its AI music generator, adding voice cloning, custom model tuning, and personalized style learning for Pro subscribers.

Cohere released Transcribe, a free open-source speech recognition model that tops HuggingFace’s accuracy leaderboard across 14 languages — taking the No. 1 spot.

Claude AI Maker Anthropic Considers IPO as Soon as October.

Meta Releases TRIBE v2: A Brain Encoding Model That Predicts fMRI Responses Across Video, Audio, and Text Stimuli.

Tencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning.

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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 to enjoy all our daily episodes completely ads-FREE at https://djamgamind.com/daily

🚀 Welcome to AI Unraveled. Today, the AI industry gets a massive reality check. A new benchmark proves the top LLMs still cannot reason, forcing the enterprise to pivot toward Small Language Models (SLMs) and inference compression. Meanwhile, Meta quietly buys up every autonomous agent startup on the market, and the Pentagon turns Palantir into permanent military infrastructure.

This episode is made possible by our sponsor:

🎙️ 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

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In Today’s Briefing:

• The ARC-AGI-3 Humiliation: Why frontier models from OpenAI and Google are scoring below 1% on a reasoning test that humans ace.

• Google TurboQuant: A new algorithm that compresses AI model memory by over 6x with zero accuracy loss, threatening the AI hardware market.

• The Rise of SLMs: Neurometric launches an SLM Marketplace, proving that 75% of enterprise tasks are better suited for cheap, sub-20B parameter models.

• Meta’s Talent Monopoly: Mark Zuckerberg acqui-hires Dreamer, adding to a $2B shopping spree for agentic AI talent alongside a $135B capex budget.

• The Pentagon’s Palantir Lock-in: The U.S. military is spending $13.4 billion on AI in 2026, elevating Palantir’s Maven to core infrastructure.

• Reddit’s Bot Crackdown: CEO Steve Huffman deploys World ID and passkeys to separate humans from AI agents.

• The EU AI Act Omnibus: Europe delays enterprise AI compliance to 2028, but implements an immediate, strict ban on AI “nudifier” deepfake apps.

• Mistral Voxtral TTS: A new open-weight text-to-speech model that runs entirely on-device and supports 9 languages.

Strategic Signal: The Cap on LLM Reasoning vs. The Optimization of Inference.

Keywords: ARC-AGI-3 Benchmark, François Chollet, Google TurboQuant, Neurometric SLM, Meta Dreamer Acquisition, Palantir Maven Pentagon, Reddit Bot Crackdown World ID, EU AI Act Nudifier Ban, Mistral Voxtral TTS, Small Language Models, DjamgaMind, AIRIA, AI Unraveled.

🔗 RESOURCES & CAREERS

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.

ARC’s new AGI test stumps every frontier AI

Image source: ARC Prize Foundation

François Chollet’s ARC Prize Foundation just released ARC-AGI-3, the newest version of its interactive reasoning benchmark, where humans can solve 100% of tasks on the first try but AI models struggle, with top systems not even scoring 1%.

The details:

• Labs spent millions training models on earlier versions of the test, pushing ARC-AGI-2 scores from 3% to around 50% in under a year.

• Agents face game-like scenarios with zero instructions, and must discover rules, form goals, and plan strategies entirely from scratch.

• Google’s Gemini Pro scored the highest among frontier models at just 0.37%, followed by GPT 5.4 High (0.26%), Opus 4.6 (0.25%), and Grok-4.20 (0%).

• A $1M prize backs the challenge, and cofounder Mike Knoop says frontier labs are paying far more attention to V3 than they did to earlier versions.

Why it matters: It’s always jarring to see the top models get reset below 1% on a new ARC-AGI release, but if the older tests are any indicator, even more surprising will be how quickly frontier labs climb the ladder. Whether that reflects genuine reasoning or just more expensive brute-forcing is exactly what Chollet built V3 to find out.

Reddit’s AI bot crackdown skips the ID check

Image source: Reddit

Reddit CEO Steve Huffman outlined a plan to separate humans from bots across the site, including labeling automated accounts, flagging suspicious users for verification, and letting sub-communities self-police without mass ID checks.

The details:

• Accounts running automation in approved ways on the social platform will carry an [App] label, with suspicious behavior leading to human verification.

• To confirm proof of humanity, Reddit will offer passkeys or Sam Altman’s World ID scanner, with government IDs as a last resort, only where laws require it.

• AI-written content isn’t being banned, with Huffman calling it ‘annoying’ but saying communities can set their own rules on AI-generated posts.

• Rival platform Digg recently folded after being overrun with bots, and Cloudflare data shows automated traffic on pace to surpass humans by 2027.

Why it matters: The Dead Internet Theory was already here before the AI agent acceleration we’ve seen over the past six months. Now, it’s a reality every social media site is dealing with. While this feels a bit like a band-aid, it is a small step towards every platform needing a serious human-first solution if it wants to remain usable to them.

OpenAI pauses erotic chatbot plans indefinitely LINK

• OpenAI has paused its plans to launch an erotic “adult mode” for ChatGPT indefinitely, confirming to the Financial Times that it is shifting focus toward its core products instead.

• The company wants more time to research the potentially harmful effects of sexually explicit chats and the emotional attachments they may create, while investors also weren’t excited about the project.

• This is the second major product OpenAI pulled back this week, after discontinuing its Sora AI video-generation app to redirect compute power to other higher-priority projects going forward.

Apple may build smaller AI models from Gemini LINK

• Apple has gained full access to Google’s Gemini model and plans to distill it into smaller models that can run directly on Apple devices without an internet connection.

• The distillation process works by feeding Gemini’s high-quality answers and reasoning information into smaller, cheaper models that learn its internal computations while requiring less computing power.

• Apple is building a smarter, chatbot version of Siri for iOS 27 using Gemini, but has hit issues because Gemini was tuned for chatbot and coding tasks that don’t always match Apple’s needs.

Quantum computers could break encryption by 2029, warns Google LINK

• Google published a formal plan to move all of its infrastructure to post-quantum cryptography by 2029, warning that quantum computers capable of breaking current encryption may arrive sooner than expected.

• The company highlighted “harvest now, decrypt later” attacks as an already active threat, where bad actors steal encrypted data today planning to unlock it once quantum machines become powerful enough.

• Over 6.8 million Bitcoin sitting in vulnerable addresses could eventually be at risk, but Bitcoin developers have started work on quantum-resistant upgrades through BIP 360, a new address format proposal.

Google shrinks AI memory with zero accuracy loss

Image source: Google

Google Research introduced TurboQuant, an algorithm that compresses AI model memory over 6x without any retraining — while delivering up to 8x speed gains on Nvidia H100 chips and losing almost zero accuracy.

The details:

• AI models keep a running log of each conversation, and as chats get longer, that storage balloons, which slows responses and drives up costs.

• TurboQuant shrinks that storage by over 6x with zero accuracy loss, scoring perfectly on tests that bury a key detail in a large amount of text.

• On Nvidia’s top server chips, it also sped up response processing up to 8x compared to standard methods, without adding any extra cost to run.

• The paper, set to be presented at ICLR 2026 in April, also topped rival methods in vector search — the tech search engines use to match similar results quickly.

Why it matters: Despite being first published in April 2025, top AI memory companies felt the heat of the official release, with stocks dropping 3-5%. One compression paper won’t crater memory demand overnight, but the selloff shows Wall Street is pricing in a world where smarter software cuts into the premium AI memory commands.

TOGETHER WITH AIRIA

One-Stop Enterprise AI At Your Fingertips

These days, it seems like there’s a different AI tool for every single business need – sales, marketing, creative, team lunch orders (okay, maybe not that one, but you get the idea). And while that’s all well and good, it can get a bit complicated… not to mention expensive. Which is all the more reason to opt for a platform like Airia that does everything, and does it well.

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Try a demo of Airia’s enterprise AI for yourself right here.

Meta acqui-hires its 4th AI startup in 4 months

Mark Zuckerberg isn’t just building models; he’s assembling an entire talent army for agents. Meta just acqui-hired the team behind Dreamer (an agentic AI platform), adding them to Meta Superintelligence Labs.

• The move follows Meta’s $2B acquisition of autonomous web agent Manus in December, the acqui-hire of AI social network Moltbook in early 2026, and bringing on Scale AI’s Alexandr Wang as Chief AI Officer.

• Meta is concurrently developing an internal AI model (reported codename: “Avocado”) and has projected ~$135 billion in 2026 capital expenditures.

• The pattern shows Meta aggressively cornering the market on agentic talent to build a decentralized “decision-support layer” across its platforms.

Pentagon formalizes Palantir’s Maven AI with $13B investment

The Pentagon is formalizing Palantir’s Maven AI as a core military system with multi-year funding, pushing the platform’s investment umbrella to $13 billion (up from $480 million in 2024). The US Defense Department is spending a staggering $13.4 billion on AI this year alone.

• The jump from “defense contractor” to “core military infrastructure” concerns some civilian tech watchdogs, who note that infrastructure doesn’t get shut down when it hallucinates; it just gets patched.

• Military AI at this funding level is moving faster than civilian accountability frameworks, prioritizing verifiable targeting over explainable decisions.

European Parliament bans AI “nudifier” apps LINK The European Parliament adopted its position on a simplification (”omnibus”) proposal amending the Artificial Intelligence Act. While the EU is delaying the application of certain high-risk AI system rules to 2027/2028 to give companies breathing room, it took immediate action on deepfakes.

• MEPs introduced a strict new ban on “nudifier” systems that use AI to create or manipulate sexually explicit images resembling an identifiable real person without consent.

• The legislation also gives AI providers until November 2026 to comply with rules on mandatory watermarking for AI-created audio, image, video, or text content.

Google upgrades Lyria 3 Pro for full song generation

Google has massively upgraded its music AI model, rolling out Lyria 3 Pro across Gemini, Vertex AI, and Google Vids.

• The model can now generate full 3-minute songs with structured intros, verses, choruses, and bridges from a single prompt.

• The audio quality rivals studio-produced tracks, further threatening the economics of the commercial stock music industry.

Clarivate reveals the “AI50” Global Leaders LINK A new data-driven benchmark by Clarivate reveals that the vast majority of high-impact AI inventions are concentrated in just four regions. Of the top 50 global organizations leading AI invention, 15 are in China, 14 in the US, 6 in South Korea, and 6 in Japan.

Mistral gives hands-free productivity a boost

A month ago, Mistral conquered speech-to-text with its Voxtral Transcribe 2 model family. Now, the AI lab is flipping the script with its first text-to-speech model.

On Thursday, Mistral launched its Voxtral TTS, an open-weight text-to-speech model that is three times smaller than the industry standard, more natural-sounding, and multilingual. The company claims that it’s the best open-source text-to-speech model released to-date.

The model was built to be as natural-sounding as possible by understanding the context of what people say and modeling how people naturally speak, including pauses, rhythm, intonation, emotion and more. Some other highlights include:

• Support for nine languages: English, French, German, Spanish, Dutch, Portuguese, Italian, Hindi, and Arabic. It can accept input in one language and output in another.

• Speed: Adapts to voices with references of just five seconds and offers low-latency, taking a voice sample of 10 seconds and 500 characters, and producing audio within 90 milliseconds

• On-device: 3 billion parameter model that fits in a smartwatch, a phone, or a laptop

• Human evaluations: In comparative human evaluation of Voxtral TTS and ElevenLabs v2.5 Flash, Mistral’s model achieved superior naturalness

While there are many other text-to-speech models on the market, Pierre Stock, VP of science and the first employee hired at Mistral AI, said the model’s overall efficiency sets it apart.

“The model is optimal for both efficiency — including the cost, the speed, the ease of deployment – and state-of-the-art, conversational capability in which the model feels both super natural and conversational,” Stock told The Deep View.

Some use cases, Mistral notes, include customer support, sales and marketing, real-time translation and personal voice agents. The model is available to test out in Mistral Studio playground, and a model with several reference voices is available as open weights on Hugging Face.

Can SLMs solve AI’s biggest roadblock in 2026?

When I talk to people putting AI to work in organizations right now, I typically hear two things: either inference costs are out of control or they are paying too much for tokens. Spoiler: those two things mean the same thing. The cost of running AI is too high, and AI agents are making it a lot worse.

Here’s the good news (or bad news, depending on your POV): If you’re building AI agents, most of the tokens your agent consumes are going to a frontier model that’s wildly overqualified for the job, and you’re overpaying for it.

We’re talking about tasks like:

• Classifying a support ticket

• Extracting a date from an email

• Rewriting a subject line

These are not tasks that require models with hundreds of billions of parameters. A small, fine-tuned model can handle them in milliseconds at a fraction of the cost.

In an exclusive interview with The Deep View, Rob May, CEO of Neurometric, shared how the company is betting big on this mismatch.

On Wednesday, Neurometric launched its SLM Marketplace, a catalog of 115 task-specific small language models (SLMs). Each of these models is under 20 billion parameters and is fine-tuned to do one thing well. You can download any model for free, or let Neurometric host it with up to 100 million tokens per month at no charge. After that, it costs $2 per month per model.

“100 million tokens on one of these models costs us 40 cents,” May told me. “So why would we charge for it?”

May says they are seeing a 25/75 split: roughly 25% of tasks in a typical enterprise AI workflow genuinely need frontier-level reasoning. The other 75% are structured, repetitive, and narrowly focused, such as classification, extraction, formatting, routing, scoring, and summarization. SLMs can handle those tasks.

The models in the SLM Marketplace span 14 categories, from accounting and finance to developer tools. Neurometric expects to scale to 5,000 models by year’s end. For tasks not yet covered, an Auto-SLM Creator can generate custom models from a plain-language description.

One insight that stood out from my conversation with May was that the biggest challenge with small models is keeping them on track. Larger models handle this naturally, but SLMs need what May described as “micro harnesses,” or checkpoint prompts that remind the model what it’s doing and what comes next. It’s part of an emerging discipline called harness engineering.

The next generation of electricity generation

By Bill Gates | March 26, 2026

I’m in Texas this week for the Breakthrough Energy Ventures Investors Summit, and the energy here (no pun intended) is incredible. It also matches what’s happening in the industry writ large, especially when it comes to electricity.

By 2050, the world will need to generate nearly three times as much electricity as we use today. And we need to generate it cleanly. That’s a tremendous challenge—but it’s also an exciting moment to be paying attention. Earlier this month, TerraPower, the nuclear company I started in 2008, received federal approval to begin construction at its Wyoming plant. Wind and solar are generating more electricity than fossil fuels in the EU for the first time ever. The way we power the world is changing fast.

What’s driving that change? New approaches to geothermal, fusion energy, and geologic hydrogen—some that are closer to commercialization than most people realize, and some that might still be decades away.

On my website, I’ve written about three companies in this space that I think are worth watching. You can read about them, and why I’m so optimistic about the future of clean electricity, on Gates Notes now.

What Else Happened in AI on March 26th 2026?

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OpenAI is raising another $10B to push its record funding round past $120B, with Microsoft, a16z, and T. Rowe Price joining the round.

Google upgraded its music AI model to generate full 3-minute songs with intros, verses, and choruses, with Lyria 3 Pro rolling out in Gemini, Vertex AI, and Google Vids.

Bret Taylor’s Sierra introduced Ghostwriter, an AI agent that builds other AI agents — letting companies create customer service bots across voice, chat, and 30+ languages.

The U.S. Department of Labor launched “Make America AI-Ready,” a free 7-day AI literacy course delivered entirely over text message to promote AI upskilling.

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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]
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• 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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🚀 Welcome to AI Unraveled. Today, the tech giants execute a massive strategic pivot. OpenAI axes its flagship video generator to focus on robotic world simulation, Apple prepares a total overhaul of Siri for iOS 27, and the US government locks down the hardware stack.

This episode is made possible by our sponsor:

🎙️ 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

🎧 Listen Ads-Free: Tired of interruptions? Subscribe to AI Unraveled directly on Apple Podcasts to enjoy all our daily episodes completely ads-FREE!

🛑 AIRIA: With Anthropic’s new “Dispatch” feature taking remote control of your macOS desktop, security is no longer optional. AIRIA provides the enterprise-grade sandboxing required to run these autonomous remote agents safely, ensuring your corporate environment is protected from multi-turn adversarial attacks. 👉 Govern your agents: https://airia.com/request-demo/?utm_source=AI+Unraveled+&utm_medium=Podcast&utm_campaign=Q1+2026

In Today’s Briefing:

• The Death of Sora: Why OpenAI is winding down its video generator to free up compute for ‘Spud’ and the physical robotics economy.

• Apple’s ‘Ask Siri’: The standalone chatbot app coming to iOS 27 that reads emails and executes actions inside third-party apps.

• Cloudflare Dynamic Workers: New infrastructure allowing AI agents to safely write and execute code on the fly at 100x speeds.

• Enterprise Agent Panic: Insights from The Deep View on why 587 C-Suite leaders are terrified of autonomous agent security.

• Roche’s AI Factory: The pharmaceutical giant deploys 3,500 Nvidia Blackwell GPUs for in-house drug discovery.

• Microsoft Superintelligence: Mustafa Suleyman poaches former Allen Institute CEO Ali Farhadi.

• FCC Foreign Router Ban: The United States bans all new foreign-made routers to secure edge infrastructure.

Strategic Signal: The Pivot to Utility and Execution. Credits: Created and produced by Etienne Noumen.

Keywords: OpenAI Sora Shutdown, OpenAI Spud Model, Apple iOS 27 Ask Siri, Cloudflare Dynamic Workers, Roche AI Factory Blackwell, Microsoft Superintelligence Ali Farhadi, FCC Router Ban, Agentic Enterprise Security, World Simulation Robotics, DjamgaMind, AI Unraveled.

🔗 RESOURCES & CAREERS

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.

OpenAI’s Sora gets the axe to prioritize ‘Spud’

Good morning, AI enthusiasts. Weeks ago, OpenAI’s Applications CEO Fidji Simo told staff to stop chasing “side quests.” Today, one of the AI leader’s most high-profile ones got the axe. Sora, the video generator that previously hit No. 1 on the App Store, is officially winding down.

• Altman reportedly told staff OAI would wind down all video products, including its mobile app and API, with employees calling Sora a “drag” on resources.

• The freed-up compute will go toward ‘Spud’, OAI’s next major model expected in the coming weeks, which Altman says “can really accelerate the economy”.

• Sora head Bill Peebles said the team will now pursue “world simulation” for robotics, calling the prize “automating the physical economy”.

• The move puts OAI’s December partnership and $1B investment by Disney on ice after the media giant initially agreed for its IP to be used in Sora.

Apple’s standalone Siri app, chatbot for iOS 27

Apple is reportedly testing a standalone Siri app alongside a new “Ask Siri” chatbot experience, according to Bloomberg insider Mark Gurman — with both slated to debut with its iOS 27 system at WWDC in June.

• Siri will get its own dedicated app for the first time, along with a redesigned interface that lets users type or speak requests.

• The assistant will reportedly read across iMessages, emails, and notes to build context, also capable of executing actions inside third-party apps directly.

• Apple is branding the experience “Ask Siri,” positioning it as a chatbot-style interaction rather than the rigid voice commands of the previous iterations.

Arm releases first in-house chip, with Meta as debut customer LINK

• Arm Holdings has released its first in-house chip, the Arm AGI CPU, after nearly 36 years of only licensing its designs to companies like Nvidia and Apple, with Meta as its debut customer.

• The Arm AGI CPU is a production-ready processor built for running inference in AI data centers, developed using the Arm Neoverse family of CPU IP cores through a partnership with Meta.

• Arm started developing the chips back in 2023, and they are already ready to order, marking a historic shift from exclusively licensing designs to now competing alongside many of its partners.

Cloudflare launches Dynamic Workers for AI Agents

Cloudflare launched Dynamic Workers, a new tool that lets AI agents quickly and safely run code they write on the fly at 100x the speed of other options. As agents move from generating text to executing tasks, secure serverless environments are becoming the ultimate bottleneck. Cloudflare’s new architecture allows autonomous systems to spin up, execute, and destroy code environments in milliseconds without exposing the host network.

The Deep View: Enterprise AI Adoption Blockers

In a new episode of The Deep View: Conversations, Salesforce SVP of Enterprise IT Strategy Shibani Ahuja revealed findings from meetings with 587 C-suite leaders over the past year. The consensus? The enterprise is terrified of agentic AI. Leaders relying on simple chatbots are falling behind, but organizations deploying autonomous agents are hitting massive security blockers. Gartner also named Blackbird the company to beat in disinformation narrative intelligence, as AI supercharges the speed and scale of malicious content.

Pharma giant Roche launches “AI factory”

Roche launched a new “AI factory” to speed up drug discovery and manufacturing, with the company now amassing over 3,500 Nvidia Blackwell GPUs. This represents a massive capital expenditure shift for the pharmaceutical industry, moving compute from cloud providers to on-premise, vertically integrated AI factories.

Microsoft Superintelligence poaches Allen Institute leaders

Microsoft AI poached three top researchers from the Allen Institute for AI, including former CEO Ali Farhadi, with the trio joining Mustafa Suleyman’s Superintelligence team. The move further solidifies Microsoft’s commitment to building its own frontier models to reduce its long-term reliance on OpenAI.

Techpresso: FCC bans all foreign-made routers

In a massive geopolitical tech shift, the FCC has officially banned the import and sale of all new foreign-made network routers in the United States. The mandate is designed to secure the lowest level of the hardware stack against foreign espionage as AI inference moves to the edge.

Meta ordered to pay $375 million in child safety case LINK

• A New Mexico jury found Meta liable on every count in a child safety case, ordering the company to pay $375 million for endangering children and concealing sexual exploitation on Instagram and Facebook.

• Attorney General Raul Torrez framed the case as a products-liability claim, arguing the platforms were defective — a legal strategy that sidesteps Section 230 and gives 40-plus state attorneys general a tested courtroom playbook.

• A bench trial expected in May will not ask how much Meta should pay but what it must change, including age verification, predator removal, and modifications to encrypted messaging across multiple states.

Amazon acquires ‘approachable’ humanoid maker Fauna Robotics LINK

• Amazon has acquired Fauna Robotics, a startup that makes “approachable” humanoid robots designed for consumers and businesses, though the companies did not share the financial terms of the deal.

• Fauna Robotics was founded in 2024 by former Meta and Google engineers and earlier this year launched Sprout, a $50,000 bipedal robot standing 3.5 feet tall and weighing 50 lbs.

• Fauna’s roughly 50 employees will join Amazon in New York City, and the company will continue to operate as Fauna Robotics under Amazon, according to CEO Rob Cochran.

Trump appoints tech CEOs to White House council LINK

• President Trump has appointed CEOs from Meta, NVIDIA, Dell, Oracle, and AMD, along with Google co-founder Sergey Brin and venture capitalist Marc Andreessen, to a White House science and technology advisory council.

• The President’s Council of Advisors on Science and Technology currently has 13 members, co-chaired by White House AI and cryptocurrency czar David Sacks and Trump’s science advisor Michael Kratsios, with room to grow to 24.

• Several of these tech leaders have direct financial ties to Trump, including donations to his inauguration, funding construction of his White House ballroom, and business deals like Oracle’s backing of the TikTok takeover.

What Else Happened in AI on March 25th 2026?

Microsoft AI poached three top researchers from the Allen Institute for AI, including former CEO Ali Farhadi, with the trio joining Mustafa Suleyman’s Superintelligence team.

Figma opened its design canvas to coding agents, letting tools like Claude Code create/ edit designs directly using a team’s existing components and brand standards.

Pharma giant Roche launched a new “AI factory” to speed up drug discovery and manufacturing, with the company now amassing over 3,500 Nvidia Blackwell GPUs.

Cloudflare launched Dynamic Workers, a new tool that lets AI agents quickly and safely run code they write on the fly at 100x the speed of other options.

The OAI Foundation committed $1B this year across disease, job displacement, and AI safety research, with co-founder Wojciech Zaremba joining as Head of AI Resilience.

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
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🚀 Welcome to AI Unraveled. Today, the AI bubble meets geopolitical reality. The Iran-U.S. war is threatening global semiconductor cooling supplies, forcing hyperscalers to rethink their Middle East expansion. Meanwhile, Anthropic takes over the desktop, and OpenAI secures another $10 billion while shutting down its video generation platform.

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In Today’s Briefing:

• Geopolitical Tech Crisis: How the Iran-U.S. war, the Strait of Hormuz blockade, and strikes on Qatar’s helium plants are threatening the global semiconductor supply chain.

• Anthropic Dispatch: Claude gets direct remote control of your computer, completing tasks while you step away.

• Luma AI Uni-1: A new foundational image model that processes text and visuals through a single “thinking” pipeline.

• Jensen Huang on AGI: Nvidia’s CEO claims Artificial General Intelligence has already been achieved via agentic software.

• OpenAI’s Reality Check: A $10B funding round at a $730B valuation, the official shutdown of Sora, and IPO risk disclosures detailing a heavy reliance on Microsoft and TSMC.

• Zuck’s Internal Agents: Meta mandates AI usage in performance reviews as Zuckerberg builds a personal “CEO agent” to bypass middle management.

• Cisco’s LLM Security Leaderboard: Anthropic dominates the top 10 for multi-turn attack resistance, while open-weights models struggle.

• Apple Business: A new all-in-one device management and productivity platform launching in April.

Strategic Signal: Software AGI vs. Physical Supply Chain Fragility.

Keywords: Iran US War Tech Impact, Qatar Helium Shortage, Strait of Hormuz Semiconductors, Anthropic Dispatch Remote Computer Use, Luma AI Uni-1, Jensen Huang AGI Claim, OpenAI $10B Funding, OpenAI Sora Shutdown, Meta CEO Agent My Claw, Cisco LLM Security Leaderboard, Apple Business Platform, Fauna Robotics Sprout, DjamgaMind, 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.

Anthropic ships remote computer use

Anthropic just released a research preview that hands Claude direct control of your desktop — letting it click, type, and navigate across any app on your Mac while you step away, with phone-based task assignment through Dispatch.

The details:

• The newly released Dispatch turns the combo into a remote setup, allowing users to fire off a task from mobile and letting Claude handle it on the computer.

• The system is built to avoid screen control when possible, checking for direct app integrations and browser access before resorting to clicking.

• The feature is only available to macOS users on Pro or Max plans currently via Cowork and Claude Code, with a Windows version also in the pipeline.

• Anthropic acquired computer use startup Vercept in February, with the new release marking the team’s first product launch after just four weeks.

Why it matters: Anthropic’s Alex Albert puts it well, saying, “the future where I never have to open my laptop to get work done is becoming real very fast”. While losing OpenClaw to OAI was considered by many to be a miss, the recent flurry of features has shown the building blocks forming to turn Claude into its own remote agent.

Luma AI’s new image model thinks as it generates

Image source: Luma AI

Luma AI rolled out Uni-1, an image model that processes text and visuals through the same pipeline — thinking through what it’s asked to do before and while it creates, with the company calling this approach “path to general intelligence.”

The details:

• Uni-1 runs on the same type of architecture as GPT Image 1.5 and Nano Banana Pro, processing text and images in a single pipeline instead of diffusion.

• The model also features real-world understanding, enabling creative decisions and use cases such as infographics, manga, and specific aesthetics.

• In testing, Uni-1 topped human preference rankings for style, editing, and reference-based work, trailing only Nano Banana Pro in text-to-image ELO.

• Uni-1’s API price of ~$0.09 / image at 2K resolution undercuts Nano Banana Pro’s $0.134 rate by roughly a third, though the API is waitlist-only for now.

Why it matters: Luma made its name in video, so an image model is a new direction. If the same system can extend into video, voice, and interactive worlds as Luma is teasing, Uni-1 could set the foundation for one model that can do it all creatively — moving into the creative agent territory that users are starting to expect.

War in Iran puts tech industry on fragile footing

The tech industry is notorious for operating within its own bubble — sometimes even its own reality distortion field — but the impacts of the Iran-U.S. war are threatening to bear down on it.

Multiple factors are now in play in the conflict that could disrupt tech companies and impact the pace of AI growth:

• Iran names U.S. tech firms as targets: The official news agency of the Iranian military listed Amazon, Microsoft, Palantir, and Oracle as the “enemy’s technological infrastructure” and made clear that it considers them military targets. This was connected to the U.S. threat to obliterate Iran’s power plants, a stance that has since been softened.

• Critical mineral shortage disrupts chip makers: Semiconductors run the world, especially AI, and the industry is facing a critical shortage of minerals because of the conflict. A third of the world’s helium comes from Qatar, and it’s essential for cooling systems and circuits in producing semiconductors. The closure of the Strait of Hormuz puts the semiconductor supply chain at risk, and Iran has already struck the Qatar helium plant at Ras Laffan and taken it offline.

• Hyperscalers rethink Middle East expansion: Tech companies had been preparing to invest billions of dollars in data centers and AI factories, but the instability and uncertainty of the conflict between the U.S./Israel and Iran has put those plans in jeopardy. Iran has already attacked AWS buildings in the UAE. OpenAI, Nvidia, Oracle, and Cisco have been collaborating on a potential 5-gigawatt facility in the UAE. But a prolonged conflict could redirect this and other projects to safer havens like India, Southeast Asia, or Northern Europe.

Apple announces Apple Business LINK

• Apple announced Apple Business, a free all-in-one platform that combines device management, productivity tools, and customer outreach into a single service replacing Apple Business Essentials, Apple Business Manager, and Apple Business Connect.

• The platform includes built-in MDM, new “Blueprints” for zero-touch deployment, Managed Apple Accounts with cryptographic separation between personal and work data, and integrated email, calendar, and directory services.

• Apple Business launches April 14 in over 200 countries, and existing data from the three discontinued services will automatically migrate, while Business Essentials customers will stop being charged monthly device management fees.

Jensen Huang claims AGI has already been achieved LINK

• NVIDIA CEO Jensen Huang told Lex Fridman on his podcast that he believes AGI has already been achieved, pointing to agentic tools that could theoretically build and run a viral app.

• The claim matters because OpenAI’s partnership with Microsoft includes escape clauses tied to AGI, though their contract defines it as an AI model generating $100 billion in profit.

• Microsoft has been preparing for a possible split by restructuring its AI division to focus on its own models, while tensions grow over OpenAI’s latest funding round and competing partnerships.

Zuck ramps up Meta’s internal AI agent use

Mark Zuckerberg is creating a personal “CEO agent” to shortcut the chain of command when he needs quick answers, according to the WSJ, coming as part of a company-wide mandate that now factors AI usage into performance reviews.

The details:

• Zuck’s agent is still in development, but already handles tasks like pulling answers that typically require going through multiple layers of Meta’s org chart.

• Staffers have spun up custom agent tools, including one called “My Claw” that reads their work files and negotiates with coworkers’ bots directly.

• Another Claude-powered internal tool called “Second Brain” acts as an AI chief of staff, pulling answers from any internal document on demand.

• Zuckerberg had previously courted OpenClaw creator Peter Steinberger, and also acquired Chinese agentic platform Manus in December.

Why it matters: Meta may have tens of thousands of employees, but that isn’t stopping the newer parts of the org from trying to move as fast and lean as some of its more AI-native rivals. With Zuck seemingly very invested in the AI agent boom, Meta’s integration of Manus will be one of the more interesting implementations to watch for.

OpenAI flags Microsoft dependence as IPO risk LINK

• OpenAI identified its heavy reliance on Microsoft as a business risk in a financial document shared with investors, noting that Microsoft provides “a substantial portion” of its financing and compute.

• The document also flagged risks including a global chip shortage, potential disruption to Taiwan Semiconductor Manufacturing Company from regional conflict, and roughly $665 billion in compute spend commitments through 2030.

• OpenAI disclosed at least 14 lawsuits from ChatGPT users or families blaming its products for mental illness leading to suicide or injury, plus three separate lawsuits from Elon Musk or xAI.

OpenAI’s latest raise:

In major OpenAI news, Bloomberg reports that the company is nearing a deal for $10 billion in fresh funding from a string of venture firms and funds, including Abu Dhabi’s MGX, Coatue Management, and Thrive Capital. This will value the company at a staggering $730 billion, according to the report, which suggests the deal will close by the end of the month. That’s on top of the $110 billion in funds announced last month, coming into the House of Altman from Amazon, Nvidia, and SoftBank. (For comparison’s sake, OpenAI’s fiercest rival Anthropic recently completed a $30 billion round — which also included MGX — valuing the Claude maker at $380 billion.

Not you, Sora: OpenAI Will Shut Down Sora Video Platform

To what will OpenAI dedicate all of this incoming capital? Unclear, but definitely not the Sora “slop feed” app, which the company announced plans to discontinue. In a post to the official Sora account on X, OpenAI confirms “we’re saying goodbye to Sora,” adding “what you made with Sora mattered, and we know this news is disappointing.” Disappointing, perhaps, but it’s not a COMPLETE surprise, though. Just one week ago, WSJ reported that OpenAI’s CEO of Applications Fidji Simo had told staffers the company was shifting focus to productivity applications for enterprises, and away from “side quests.” Sora clearly fell in the latter category.

Amazon picks up Fauna Robotics:

The New York-based robotics startup is developing a humanoid 3.5-foot domestic helper bot, named Sprout, designed for handling basic household chores like fetching small items and doing a little cleaning up. (Fauna’s also focused on “fun robots,” so naturally, Sprout is capable of human interaction and has some dance moves.) No announced plans yet for a Sprout consumer release, but the company started sending prototypes to “research and development partners” earlier this year.

Anthropic takes 8 spots in top 10 most secure LLMs

The promise of AI-driven productivity comes with a catch: every implementation hands over the keys to your company’s data and operations to new technology, unlocking a host of security risks.

The leaderboard results were calculated based on rigorous testing that measured single- and multi-turn attacks aimed at eliciting a harmful or malicious response from the model. Anyone can access the results for free, but here is a quick breakdown:

• Anthropic: The company dominated the leaderboard, holding 8 out of the top 10 spots, with Claude Opus 4.5, taking first place, followed by Sonnet 4.5 and Haiku 4.5.

• OpenAI: GPT-5.2 and GPT 5 Nano managed to make it into the top 10, too, coming in 7th and 9th place, respectively.

• Bottom of the leaderboard: Mistral took the last two places with its Magistral Small 2509 and Ministral 3 14b Instruct models. The list of the bottom 10 (least secure models) also includes models from DeepSeek, Cohere, Qwen and xAI.

What Else Happened in AI on March 24th 2026?

Nvidia CEO Jensen Huang appeared on the Lex Fridman Podcast, saying, “I think it’s now. I think we’ve achieved AGI” when asked about his intelligence timelines.

Apple announced its WWDC 2026 event will run June 8-12, teasing ‘AI advancements’ that are speculated to include its Siri overhaul powered by Google Gemini.

OpenAI is reportedly guaranteeing a 17.5% minimum return to lure private equity firms into its enterprise joint venture — outbidding Anthropic as both prep for IPOs.

Agentic personal software builder Dreamer announced it is licensing its tech to Meta, with its full team joining Meta Superintelligence Labs in an undisclosed deal.

OpenAI hired former Meta VP of global clients Dave Dugan to run its ad sales, coming as the company continues its initial advertising push into ChatGPT.

OpenAI Foundation pledges $1B in grants to ensure AI ‘benefits all of humanity’ [Link]

Steve Wozniak says he’s “disappointed a lot” by AI and rarely uses it [Link]