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AI Jobs and Career

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• Full Stack Engineer [$150K-$220K]
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• More AI Jobs Opportunitieshere

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

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#DJAMGAMIND #AIUNRAVELED

Summary: In today’s briefing, we analyze the breaking point of AI scaling and liability. We deconstruct the unprecedented $725 billion capital expenditure guidance from Google, Amazon, Microsoft, and Meta. We explore the mounting national security friction as the White House blocks the expansion of Anthropic’s Mythos model over cyber capabilities, while GPT-5.5 rolls out advanced cybersecurity features. We also cover the grim legal milestone of the Florida Attorney General launching a criminal investigation into OpenAI following ChatGPT’s alleged advice to a mass shooter. Finally, we look at enterprise agent rollouts from Amazon Quick and Perplexity, and SoftBank’s massive new robotics venture, “Roze.”

Important Topics:

• $725B Big Tech Capex: Google, Amazon, Microsoft, and Meta forecast a 77% YoY jump in infrastructure spending, hitting $725 billion for 2026.

• White House Blocks Anthropic: The administration intervenes against the expansion of Anthropic’s Mythos model to 70 companies, citing critical software vulnerability risks.

• OpenAI Criminal Investigation: Florida’s Attorney General opens a criminal probe into OpenAI after chat logs reveal ChatGPT allegedly advised a mass shooter on weapons and tactics.

• SoftBank’s Data Center Robotics: Masayoshi Son plans a $100 billion IPO for “Roze,” a standalone robotics company built to automate data center construction.

• Amazon Quick & Perplexity Enterprise: A major push for desktop agents, with Amazon natively integrating AI into Microsoft 365 and Zoom, while Perplexity expands its PC agent for financial workflows.

• Apple Abandons Vision Pro: Apple halts development on the Vision Pro line due to weak sales, pivoting engineering teams to AR glasses and Apple Intelligence.

  

• Spotify’s Anti-AI Badges: Spotify launches a “Verified by Spotify” green checkmark to distinguish genuine human artists from the flood of AI-generated personas.

• Mayo Clinic AI Cancer Detection: New REDMOD AI successfully spots invisible tissue patterns on CT scans to detect pancreatic cancer up to three years early.

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Big Tech capex hits $725 billion in 2026

• Google, Amazon, Microsoft, and Meta plan to spend a combined $725 billion on capex in 2026, a 77% jump from last year’s record $410 billion, driven by AI infrastructure demand and climbing memory chip prices.

• Microsoft set 2026 capex at $190 billion, with CFO Amy Hood blaming $25 billion of that on memory chip and component costs, while warning the company will stay capacity-constrained through at least 2026.

• Alphabet matched Microsoft’s $190 billion capex guidance after Google Cloud revenue grew 63% to $20 billion and its contract backlog doubled to $460 billion, pushing shares up 7% toward a $4.3 trillion valuation.

White House blocks Anthropic Mythos expansion

• The White House has pushed back on Anthropic’s plan to widen access to its Mythos AI model to around 70 companies and organizations, according to an administration official who spoke anonymously on Wednesday night.

• US officials worry Anthropic lacks the computing power to serve more Mythos users without hurting the government’s own use of the model, which the company says is strong enough to enable dangerous cyberattacks.

• Mythos, unveiled in early April, can reportedly detect and exploit vulnerabilities in critical software, and a small group of unauthorized users on a private online forum gained access the same day Anthropic announced its limited release plan.

Apple reportedly abandons Vision Pro

• Apple has reportedly stopped work on the Vision Pro after weak sales of the M5 chip model released in October, which kept the $3,499 price tag and added a more comfortable head strap, according to MacRumors.

• The product engineering team is being moved to other projects across the company, with a near-term focus on AR glasses to compete with Meta and longer-term work on a cheaper Pro-style successor.

• Apple is also shifting engineering resources toward Siri and Apple Intelligence ahead of WWDC in June, as recent delays to its AI work have hurt the company’s reputation with users and developers.

SoftBank is creating a robotics company that builds data centers

• SoftBank is planning to launch and list a standalone AI and robotics company in the U.S. called “Roze,” which will build data centers and use robotics to make AI infrastructure construction more efficient, the Financial Times reported Thursday.

• Masayoshi Son is leading the push, with executives targeting a roughly $100 billion valuation and an IPO as soon as this year, though the timeline could shift partly due to uncertainties from the conflict in the Middle East.

  Smartphone 101 - Pick a smartphone for me - android or iOS - Apple iPhone or Samsung Galaxy or Huawei or Xaomi or Google Pixel
  

• Roze could bundle existing energy, land and infrastructure assets from SoftBank’s portfolio along with ABB Robotics, which SoftBank agreed to buy last year, and the listing may help offset its $30 billion-plus commitment to OpenAI.

Uber enters the hotel booking business

• Uber has launched hotel bookings inside its app for US customers, giving access to over 700,000 hotels worldwide through a partnership with Expedia Group, with Vrbo vacation rentals set to join later this year.

• Uber One subscribers will get 20% off a rolling list of 10,000 hotels booked through the app, plus 10% back in Uber Credits on all bookings, as the company pitches the subscription harder.

• CTO Praveen Neppalli Naga said agentic AI tools like Cursor cut the hotel booking feature’s build time in half, alongside other launches including travel mode, a room service hub in Uber Eats, and Eats for the Way.

Spotify introduces verified artist badges to help distinguish humans from AI

• Spotify is rolling out a new “Verified by Spotify” badge that marks human artists in good standing, shutting out AI-generated or AI-persona profiles as streaming sites deal with a flood of machine-made tracks clogging their platforms.

• To qualify for the light green checkmark, artists must show consistent listener engagement, follow platform policies, and display “signals of a real artist,” with over 99 percent of actively sought-out artists verified at launch.

• Spotify is also testing a new context section on artist profiles, described as “nutrition facts,” showing career milestones, release activity, and touring activity in the About section on mobile over the coming weeks.

Amazon makes AI agents easier to use and trust

If you’ve been jealous hearing about AI agents automating email, Slack, calendar, and files, but thought there wouldn’t be a version secure enough to work for you or your company, then Amazon has something you’ll want to see.

On Tuesday, the company released a desktop app for its agentic work assistant, Amazon Quick, which integrates natively with four of the most widely used business tools in the world: Microsoft 365, Google Workspace, Salesforce, and Zoom. Most importantly, it’s built with enterprise-grade security and privacy and is already trusted by companies like Southwest Airlines, BMW, and the NFL.

While Amazon Quick is a powerful personal agent, it’s been flying under the radar. I first got fomo when I heard about it in February, while interviewing Matt Yanchyshyn from AWS on The Deep View Conversations podcast. Matt talked casually about how Amazon Quick flags emails and Slack messages for him, helps him prep documents and summarize files, and drafts replies.

With the new version announced on Tuesday, Amazon Quick expands its capabilities. Here are some of the highlights:

• Deep memory: It remembers your context between sessions, connects to your most used systems, and is continually learning more about you, your patterns, and preferences.

  
  
  

• Proactive intelligence: The agent runs in the background on your computer and can, for example, spontaneously remind you of important, timely messages that are unanswered, tell you which docs need your feedback, remind you of approvals that need your attention, and flag deals that need updates in Salesforce.

• Takes actions: The agent can also take the next steps and do things for you. It can edit docs, draft emails and Slack messages, implement feedback from comments, update a Jira ticket, and reply to requests. You can decide how automated you want it to be, or choose to click approve before any actions are finalized.

• Creates files and pages: Amazon Quick can also create presentations, spreadsheets, images, documents, web pages, and dashboards. Examples Amazon highlighted include, “HR can create an onboarding portal for new hires with onboarding links and checklists. Finance can launch a resource/budget calculator. Sales can track pipeline health with Salesforce data and trigger actions like updating a deal status or sending a follow-up email.”

You can now download Amazon Quick and try the free version. You don’t need an AWS account, but you’ll need to use a Google, Apple, Amazon, or GitHub login.

In addition to Amazon Quick, which is aimed at helping professionals create their own AI agents, the company also expanded Amazon Connect, which now offers pre-built, enterprise-ready agents for hiring, supply chain management, health care, and customer service.

Perplexity shifts its desktop agent to enterprise

Perplexity’s Personal Computer is winning users over by working directly across local files and native apps, and not just the cloud. And the company is now rolling out a suite of enterprise upgrades aimed at the professionals who are driving the most demand for the product.

On Wednesday, Perplexity held its Ask NYC event, which opened with CEO Aravind Srinivas talking about Personal Computer’s impact. Citing Steve Jobs’s famous description of the computer as “a bicycle for the mind,” Srinivas reframed the new personal computer as something far more powerful: a Ferrari, or three.

Then Dmitry Shevelenko, Perplexity CBO, and Jeff Grimes, Head of Live Events, took the stage to launch the new Computer features, including a partnership with 1Password that allows Personal Computer to take action within password-protected tools while keeping credentials private from AI models.

Another large focus was broadening access to Computer. Previously available only to Max-tier subscribers, it is now available to Pro subscribers on Mac. It’s also available on Microsoft Teams through Microsoft Marketplace, with Computer in Excel launching in beta as a native side panel.

Computer will now also offer:

• Workflows: Over 50 prebuilt templates across enterprise work that can be shared, scheduled, customized, and run asynchronously

• Connectors: New Databrick and Snowflake connectors join the hundreds available to make querying enterprise data available org-wide

Further catering to the financial sector, a new Computer for Financial Services offering allows users to bring their own license connectors for Carbon Arc, Daloopa, Morningstar, and PitchBook, giving Computer access to existing licensed data credentials and enabling the building of workflows and dashboards, according to Perplexity.

It also launched new finance-focused workflows, including an Equity Research Council, designed to recreate the experience of a panel-style research review that typically involves multiple analysts and sources.

Thus far, Perplexity says its agent has saved companies billions of dollars. In its first four weeks, while it still existed only internally on Slack, Computer performed $1.6 million worth of work, according to Shevelenko. The company reports that since its launch, Perplexity Computer has performed more than $2.8B in labor-equivalent work.

Nvidia brings agents closer to real work

The more human tasks AI agents take on, the more they need to see and hear the world as humans do. Nvidia’s new model is designed to bridge that gap.

On Tuesday, Nvidia launched Nemoton 3 Nano Omni, an open multimodal model that combines vision, speech, and language capabilities into a single model, aiming to enable agents to skip handoffs between separate models and deliver faster, smarter results.

The model doesn’t compromise on efficiency either, topping six leaderboards across complex document intelligence, video, and audio understanding, while enabling AI systems to achieve up to 9x higher throughput than other open omni models, according to Nvidia. This performance is enabled by:

• Architecture: 30B-A3B hybrid mixture-of-experts architecture, the same as Nemotron 3 Nano

• Audio and vision: The addition of audio and vision encoders makes it possible to combine capabilities into one model and eliminates the need for separate perception models

• Model partner: Nemoton 3 Nano Omni can work alongside proprietary cloud models or other Nvidia Nemotron open models to power agentic workflows

Many AI-driven companies are already adopting the model, according to the post. Potential use cases range from computer-use agents that navigate graphical user interfaces and reason over onscreen content, to interpreting documents, charts, tables, screenshots, and audio for customer service and workflow monitoring.

The model is available now through Hugging Face, OpenRouter and build.nvidia.com as an NVIDIA NIM microservice, and through Nvidia Cloud Partners, inference platforms and cloud service providers, according to the company.

Zuckerberg’s Biohub funnels $500M into AI biology

The Rundown: Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan’s CZI, announced a $500M Virtual Biology Initiative to build open datasets and models that can predict how human cells behave — pushing AI toward biology simulation.

The details:

• $400M of the $500M will fund data generation and imaging tech, with $100M for external research labs and research efforts.

• Nvidia, Allen Institute, Arc, and others are joining the initiative, with Biohub committing to open datasets as a shared base for AI biology research.

• Current AI biology datasets max out near 1B cells, with Biohub’s Alex Rives saying an “order of magnitude” more data is needed to accelerate the efforts.

• The goal is to train models on the data to use AI toward “understanding disease and reprogramming it at the level of cells, molecules, and tissues.”

Why it matters: Google’s Demis Hassabis has said AI could eventually end disease, and Biohub is pouring serious money behind that same line of thinking. The question is whether the scaling that cracked language and protein structure also holds for cells, and whether $500M gets anywhere close to the data scale needed to find out.

Mayo Clinic AI spots pancreatic cancer 3 years early

Mayo Clinic published new data on REDMOD, an AI that reads invisible tissue patterns on standard CT scans, catching pancreatic cancer up to three years ahead of when doctors typically find it and nearly doubling specialist accuracy.

The details:

• REDMOD reviewed nearly 2,000 routine CT scans that specialists had originally read as normal before later diagnoses, picking up 73% of the cases early.

• At the two-year mark before diagnosis, the gap widened even more, with the AI spotting roughly 3x as many early cancers as experienced radiologists did.

• The model reads “hundreds of quantitative imaging features,” texture, and structure patterns normally invisible to human radiologists.

Why it matters: Pancreatic cancer’s 5-year survival rate for pancreatic cancer is below 15%, making early diagnosis and treatment critical. With REDMOD running on scans patients already get, AI’s early screening abilities could become a standard part of routine care rather than a separate diagnostic step that adds friction to the system.

Food AI’s ‘ChatGPT moment’ — tastes like a chef

Image source: Midjourney

Food robotics startup KAIKAKU AI just published Epicure, a new paper claiming a “ChatGPT moment” for food AI that shows its AI model can pick up on flavor, cuisine, and texture just from how chefs combine ingredients in recipes.

The details:

• Researchers cleaned 6,653 messy ingredient entries into 1,032 usable foods, then mapped with AI how they relate across recipes.

• Despite never seeing chemistry data or taste labels, the model identified all 5 basic tastes, ordered peppers by spiciness, and tagged cuisines by region.

• The team flagged three applications: menu development, recipe innovation, and flavor pairing, work that is normally driven by chef intuition.

• KAIKAKU is pairing the AI from this paper with their robotics arm, pitching the combo as “autonomous food infrastructure” for commercial kitchens.

Why it matters: Recipes are already strong data points for human preference, with each pairing, swap, and pattern a signal about what people think works. If AI can read that structure, it can also help implement tools to design menus, suggest better substitutions, and create products with actual learned taste and texture in mind.

GPT-5.5 achieves superior CyberSecurity performance to Mythos

AISecurityInst is the org that Anthropic released Mythos to verify their “too dangerous to release claims”.

I’ve used GPT-5.5 to find vulns. It is pretty good, it’s true, but hardly “too dangerous to release”. That said, people should use it to review their code.

You will have to get Persona verified for security stuff, however.

OpenAI Faces Criminal Investigation in Florida: Can ChatGPT Be Charged With Murder? [LINK]

Florida Attorney General James Uthmeier announced that his office has opened a criminal investigation into OpenAI on the April 2025 mass shooting at Florida State University. Reviews of chat logs indicate that ChatGPT allegedly advised the accused shooter, Phoenix Ikner, on weapon type, ammunition, optimal timing, and campus locations likely to have the most people. Uthmeier later expanded the probe to cover a separate double homicide at the University of South Florida, where the suspect in that case also allegedly consulted ChatGPT before the killings.

https://www.nolo.com/news/openai-faces-criminal-investigation-in-florida-can-chatgpt-be-charged-with-murder.html

What Else Happened in AI on April 30th 2026?

ElevenLabs launched ElevenMusic, a streaming platform with built-in AI remixing and AI-assisted track creation, already hosting 4k+ artists and offering creator payouts.

Two U.S. House committees opened probes into Cursor-maker Anysphere and Airbnb over Chinese AI use, with Composer 2 built on Kimi and Airbnb’s agent on Qwen.

Mistral AI launched Vibe remote agents, cloud sessions that run coding tasks in parallel, powered by the company’s new open-weights Medium 3.5 model.

Google added file creation into Gemini, allowing the model to output formats like Google Docs, Sheets, and Slides, Microsoft Word and Excel files, Markdown, and more.

OpenAI released a Cybersecurity Action Plan to “democratize” AI cyber defense and work with the U.S. government and industry on threat coordination and defender tools.

Key Context by Tae Kim: The State of AI After Google, Meta, Amazon, Microsoft Earnings

OpenAI: Where the goblins came from

The Information: Anthropic Receives Investment Interest at $900 Billion Valuation

WSJ: Big Tech Strikes Gold With AI, but at a Steep Cost

FT: Elon Musk says he was ‘a fool’ to fund the launch of OpenAI

OpenAI to roll out GPT-5.5-Cyber, a frontier cybersecurity model

TIME: How Sundar Pichai Pushed Google To the Front of the AI Race

Bloomberg: NSA Testing Anthropic’s Mythos to Find Flaws in Microsoft Tech

WSJ: Retailers Flock to TikTok Shop to Find New Shoppers, Sales Growth

The Information: Google Defends Military Work After Employee Backlash to Pentagon Contract

NYT: Uber Can Already Bring You Dinner. Now, It Wants to Book Your Hotel Room.

Eric Seufert: “Meta’s advertising revenue grew 33% year-over-year in Q1 2026, to $55BN”

WSJ: SoftBank Plots IPO for New Robotics Venture

WSJ: Sports Streamer DAZN Makes $100 Million Bet on Technology Company ViewLift

Bloomberg: AI Hallucinations Put South African Ministers on the Spot