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[AI DAILY NEWS RUNDOWN] The AI Job Purge, Navy Drone Blackouts, Claude Opus 4.7 and the GPU Rental Bubble (April 16th 2026)

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Summary: The latter half of Q2 2026 brings a severe reality check on the cost of algorithmic efficiency. We perform a forensic analysis of the “Efficiency Illusion,” contrasting Wall Street’s euphoric 600% stock bump for Allbirds (which gutted its sustainable shoe business to become a GPU-as-a-Service farm) with the human cost at Snap, which laid off 16% of its workforce because AI now writes 65% of its code. We analyze the geopolitical fragility of US defense, exploring how a Starlink outage paralyzed Navy drones, forcing the Pentagon to reckon with its reliance on Elon Musk’s infrastructure. Finally, we deconstruct the ethical failures of Apple and Google hosting $122M worth of non-consensual “nudify” apps, Anthropic’s release of Claude Opus 4.7, and a new non-invasive brain-computer interface from Sabi.

This episode is made possible by our sponsor:

  • DjamgaMind: High-Fidelity Intelligence for the C-Suite. Strategic audio forensics in Enterprise Tech, Defense, and Finance. Visit DjamgaMind.com.

Important Topics Covered:

  • The Corporate Capitulation: Allbirds ditches its $4B sustainable footwear brand to become “NewBird AI,” a GPU rental business. The stock surged over 600%, proving markets currently value compute hoarding over product creation.

  • The AI Job Purge: Snap lays off 1,000 employees (16% of staff) targeting $500M in savings, as CEO Evan Spiegel admits AI now writes 65% of the company’s new code.

  • Geopolitical Fragility: A Starlink outage paralyzes US Navy drones off the California coast, highlighting the Pentagon’s dangerous over-reliance on a single commercial entity. Meanwhile, Google negotiates a classified Gemini deal with the DoD.

  • The Ethics Collapse: Apple and Google app stores are found hosting non-consensual “nudify” apps, driving 483 million downloads and $122 million in illicit revenue.

  • Anthropic’s Opus 4.7: Anthropic releases an iterative update improving long-horizon coding and self-verification, while shifting Enterprise plans to a token-consumption pricing model.

  • Thought-to-Text Wearables: Sabi unveils an EEG-based “beanie” that decodes brainwaves into text, offering a non-invasive (though currently less powerful) alternative to Neuralink.

Keywords: Allbirds NewBird AI GPU pivot, Snap AI layoffs 2026, Starlink US Navy outage, Anthropic Claude Opus 4.7, Google Pentagon classified AI deal, Apple Google nudify apps, Musk Terafab chipmakers, Sabi thought-to-text wearable, AI efficiency illusion, DjamgaMind

🛠️ The AI Executive Toolkit: Stop collecting PDFs. Deploy real infrastructure. Get the hand-picked, forensic-vetted implementation stack built for the C-Suite. 👉 Get the Toolkit: https://DjamgaMind.com/Toolkit:

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Anthropic reveals Claude Opus 4.7

  • Opus 4.7 improves on Opus 4.6 in advanced software engineering, with particular gains on the most difficult coding tasks, handling complex long-running work with rigor while devising ways to verify its own outputs.

  • Though less broadly capable than Claude Mythos Preview — which remains Anthropic’s most powerful and best-aligned model — Opus 4.7 beats Opus 4.6 across a range of benchmarks in coding, vision, and document reasoning.

  • Anthropic trained Opus 4.7 with efforts to differentially reduce its cyber capabilities below Mythos Preview, and is using its deployment to test safeguards before an eventual broad release of Mythos-class models.

Musk asks chipmakers to move at “light speed”

  • Musk’s team asked chipmaking equipment suppliers like Applied Materials, Tokyo Electron, and Lam Research to move at “light speed,” seeking fast price quotes and delivery timelines for gear needed to build the Terafab project.

  • The Terafab joint venture between Tesla and SpaceX plans to start with a pilot line processing 3,000 wafers per month, with a goal to begin silicon manufacturing by 2029, though no fixed orders have been placed yet.

  • Samsung proposed giving Tesla more capacity at its planned Texas factory instead of directly supporting Terafab, while Intel said it would join the initiative after Musk visited its Santa Clara office.

Apple sends Siri engineers to AI coding bootcamp

  • Apple is sending a group of fewer than 200 Siri engineers to a multi-week bootcamp where they will learn to code using AI tools, according to a report from The Information.

  • AI coding tools like Anthropic’s Claude Code and OpenAI’s Codex have already taken off in other parts of Apple, with some teams allocating large budgets specifically for Claude Code.

  • The bootcamp comes ahead of WWDC26 on June 8, where Apple is expected to announce a revamped Siri powered by Google’s Gemini models after multiple delays and leadership changes.

Spotify just won $322 million from music pirates it can’t find

  • Spotify and the three major labels won a $322 million default judgment against Anna’s Archive after the pirate activist group scraped 86 million songs from Spotify’s platform.

  • Judge Jed Rakoff awarded Spotify $300 million and UMG, WMG, and Sony Music $22.2 million collectively, plus a permanent injunction requiring internet service providers to block the website.

  • Enforcing the ruling will be difficult because the operators behind Anna’s Archive remain unknown, and the group has previously relaunched on new domain names to avoid shutdowns.

Google and Pentagon discuss classified AI deal

  • Google is in talks with the Pentagon to strike a classified AI deal that would let the Department of Defense run its Gemini models in classified settings for all lawful uses.

  • During negotiations, Google has proposed contract language that would block its AI from being used for domestic mass surveillance or autonomous weapons without appropriate human control.

  • The deal would help Alphabet grow its government ties as the US pushes to embed artificial intelligence into its processes to cut costs and speed up administrative work.

Starlink outage disrupts US Navy drone tests

  • A global Starlink outage last August knocked out communications for two dozen unmanned Navy vessels during a drone test off the California coast, halting operations for nearly an hour.

  • Internal Navy documents show multiple test disruptions tied to SpaceX’s satellite network, including an April 2025 incident where Starlink struggled under the high data load of controlling several drones.

  • The incidents highlight Pentagon risks from depending heavily on a single company, SpaceX, which holds a near-monopoly in low-earth orbit communications and space launches for the US military.

Allbirds ditches sneakers for AI compute

Allbirds just announced a $50M financing deal to reinvent itself as “NewBird AI”, converting the gutted footwear company into a GPU rental business and sending the stock up over 600% on the pivot.

The details:

  • Allbirds initially sold its brand assets to American Exchange Group in March for $39M, a fall from the company’s $4B IPO peak in 2021.

  • The AI compute move sent shares of $BIRD from $3 to over $20, lifting a market cap that closed Tuesday at just $22M.

  • The company said the $50M deal will fund GPU purchases to launch a GPU-as-a-Service business, renting out AI compute under long-term contracts.

  • Shareholders will also vote next month to strip Allbirds’ ‘public benefit’ status, formally ending the company’s sustainable-footwear mission.

Why it matters: Many CEOs love to say every company will eventually be an AI company, but gutting a business for parts and retooling it as a GPU rental probably isn’t what they had in mind. Allbirds is running the same move that blockchain rebrands used to revive dying tickers, this time with a compute crunch giving the pitch cover.

Gemini lands on Mac with native desktop app

Image source: Google

Google just rolled out a new Mac app for its Gemini assistant, giving the AI a native desktop chatbot experience, coming a year after rivals like ChatGPT and Claude made their moves.

The details:

  • The app launches via Option+Space and offers screen-sharing, Drive and Photos file access, and Nano Banana image and Veo video generation.

  • The Gemini app trails in agentic abilities, remaining a chat-first assistant, while Claude and ChatGPT can directly execute tasks on users’ machines.

  • Google calls this release “just the beginning” of its desktop assistant push, with more features teased for the coming months.

  • The company also rolled out a Windows app that bundles Gemini and Google Lens into a search bar, but shipped English-only versus the Mac’s global rollout.

Why it matters: The desktop is becoming a fight for muscle memory, with native apps unlocking stickiness as a user’s daily driver. Gemini is showing up a year late, which follows a trend of losing to Claude / ChatGPT on accessibility and ease of use, even more than performance — but Google’s distribution can make up for things in no time.

Snap cuts 1,000 jobs on AI productivity boosts

Snap just announced layoffs of 1,000 employees representing 16% of its workforce, with CEO Evan Spiegel attributing the reduction to AI efficiency rather than shareholder pressure.

The details:

  • Snap is swapping traditional teams for small AI-augmented pods, with the tech writing 65% of new code and fielding 1M+ monthly queries at the company.

  • Spiegel said AI’s advances “enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, & advertisers.”

  • The social media giant’s stock rose 7-9% on the news but remains down 30% YTD, with the plan targeting $500M in annual cost savings by the end of 2026.

  • Block opened 2026’s AI layoff wave in February with 4,000 cuts (40% of staff), and 70K+ tech jobs have been erased across companies this year.

Why it matters: Wall Street is rewarding two AI moves above all else right now: wholesale pivots (Allbirds) and AI-driven layoffs. With the tech sector’s sentiment at an all-time low and anxiety over job loss rising, the disconnect between what markets cheer and what workers fear is only widening.

Apple, Google stores offer “nudify” apps:

A report from the “research initiative” and watchdog group Tech Transparency Project claims that both Apple and Google’s stores still feature mobile apps allowing users to digitally undress people in photos without their consent. TTP claims a search for terms like “undress” and “nudify” in both companies’ stores return multiple results, despite both Apple and Google having policies in place against producing nonconsensual sexual imagery. The group claims these apps have been downloaded more than 483 million times collectively, generating $122 million in revenue. Elon Musk, whose Grok AI faced similar accusations before having fresh guardrails installed, posted a link to the report with the caption: “Well, how about that … ?”

Factory AI raising $150M:

WSJ reports that the AI coding startup is in talks to raise the cash at a $1.5 billion valuation, with Khosla Ventures leading the round, and venture capitalist Keith Rabois joining the board. The company developed agents — which they call “Droids” — that switch off between powerful frontier models and smaller, lower-cost options depending on the complexity of the tasks at hand. They’re starting to convert enterprise customers — including Morgan Stanley, Palo Alto Networks, and Ernst & Young — which remains a serious obstacle for many otherwise promising AI startups. For companies that have not yet reached the point of “token-maxxing,” Factory’s more flexible and cost-conscious approach could have appeal.

Sabi developing “thought-to-text” wearable:

The Silicon Valley startup emerged from stealth this week, and unveiled a brain-computer interface (or BCI) system that can (allegedly) convert a person’s thoughts into text on a screen. The device — which looks like a beanie, but will also be available in baseball cap form — relies on electroencephalography (or EEG) to function. Metal discs touching the scalp record the brain’s electrical activity, which is then decoded into plain text. (This technology does exist but Wired suggests it’s still in the early stages. A few words or commands at a time, rather than the natural flow of human speech.) Surgically implanted devices that make direct contact with the brain — like Elon Musk’s Neuralink is developing — are currently much more powerful than scalp-based systems like Sabi’s, which have to pick up your brainwaves through dense layers of skin and bone. But putting on a cap is a lot less invasive. So, these are the tradeoffs.

What Else Happened in AI on April 16th 2026?

Adobe debuted Firefly AI Assistant, its push into “agentic creativity”, with a chat that runs multi-app creative workflows across Photoshop, Premiere, Lightroom, and Firefly.

Google released Gemini 3.1 Flash text-to-speech, a new model with audio tags that can steer tone, pace, and accent, currently #2 on Artificial Analysis’s TTS leaderboard.

GPT-5.4 Pro produced a proof for a 60-year-old math problem, with mathematician Jared Lichtman saying it found a path humans overlooked for nearly a century.

Anthropic is switching Claude Enterprise pricing to charge businesses based on token consumption, a shift that could significantly raise bills for power users.

Grace Kay: Cursor plans to use xAI’s infrastructure to train its Composer 2.5 coding model, according to people familiar with the matter

Bloomberg: Elon Musk’s lieutenants have reached out to chip industry suppliers for his envisioned Terafab project, early steps in an audacious and likely arduous attempt to break into the production of cutting-edge chips

Bloomberg: Alphabet Poised for $100 Billion Windfall on SpaceX Investment

The Verge: YouTube now lets you turn off Shorts

The National Interest: In the Battle for AI Dominance, Computing Power Is the New High Ground

Reuters: Strong ASML, TSMC forecasts signal AI spending boom is intact

Variety: EXCLUSIVE: Val Kilmer has been resurrected by AI to star in the new movie “As Deep as the Grave.” Here’s a first look at the film’s trailer.

Bloomberg: Canva Leans Into AI to Defend Its $42 Billion Empire

Perplexity releases desktop app “Personal Computer”

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[AI DAILY NEWS RUNDOWN] The Inference Squeeze, OpenAI’s Cyber Push, and Nvidia’s Quantum OS (April 15th 2026)

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

Summary: We perform a forensic analysis of the “Compute Crisis,” detailing how the explosion of agentic AI pushed OpenAI’s token demand to an unsustainable 15 billion per minute, causing the cost of GPU inference to spike by 48%. We analyze the escalating cybersecurity arms race as OpenAI launches GPT-5.4 Cyber to counter Anthropic’s highly restricted ‘Mythos’ model. We also deconstruct Nvidia’s strategic release of “Ising,” an open-source AI model designed to become the operating system for the projected $11B quantum computing market. Finally, we look at the financial absurdity of Allbirds pivoting from sneakers to GPU-as-a-Service, and Snap laying off 16% of its workforce explicitly due to AI efficiencies.

This episode is made possible by our sponsors:

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

Important Topics Covered:

  • The Inference Squeeze: OpenAI’s token demand skyrockets from 6M/min to 15B/min as the agentic economy drains global compute. Geopolitical conflicts and component shortages drive GPU costs up 48%.

  • The Cyber Arms Race: OpenAI releases GPT-5.4 Cyber for broad defensive reverse-engineering, challenging Anthropic’s decision to lock down its ‘Mythos’ model. Are models being restricted for safety, or because of a severe compute shortage?

  • Nvidia’s Quantum OS: Jensen Huang releases the “Ising” open-source AI family to automate quantum error correction, locking in the foundational layer of an $11B market.

  • The Death of Repetitive Work: Snap lays off 1,000 employees (16% of its workforce) and closes 300 open roles, explicitly citing AI tools reducing the need for repetitive labor to achieve a $500M cost reduction.

  • The Bizarre Pivot: Silicon Valley sneaker brand Allbirds renames itself “NewBird AI” to become a GPU cloud provider, triggering a 373% stock surge reminiscent of the 2017 crypto-bubble.

  • Biological Foundation Models: AWS launches Amazon Bio Discovery, accelerating pharmaceutical drug design via AI, while Thoma Bravo signs a multiyear AI adoption deal with Google Cloud.

Keywords: AI compute shortage, OpenAI 15B token demand, GPU cost increase, OpenAI GPT-5.4 Cyber, Anthropic Mythos hack simulation, Nvidia Ising quantum OS, Allbirds NewBird AI pivot, Snap 16% layoffs, Amazon Bio Discovery, DjamgaMind, AIRIA, AI Executive Toolkit, AI Unraveled.

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

OpenAI launches GPT-5.4 Cyber

  • OpenAI is releasing a new AI model called GPT-5.4-Cyber only to vetted security partners, starting with hundreds of organizations and expanding to thousands more in the coming weeks.

  • The move comes one week after Anthropic took a similar step by limiting access to its own model, Claude Mythos Preview, over concerns about cybersecurity misuse.

  • GPT-5.4-Cyber is designed to identify security holes in software, but like other cybersecurity tools throughout history, it can be used to both attack and defend networks.

OpenAI counters Mythos playbook with GPT-5.4-Cyber

Image source: Lovart / The Rundown

OpenAI just introduced GPT-5.4-Cyber, a more permissive version of its flagship model built for defensive security work — responding to Anthropic’s Mythos release last week with a much wider rollout targeting thousands of verified defenders.

The details:

  • OAI is opening access to anyone who passes ID checks via its Trusted Access for Cyber initiative, while Mythos is limited to just 40+ trusted partners.

  • The new model can reverse-engineer compiled software to flag malware or security flaws, letting analysts inspect programs without the original code.

  • OpenAI researcher Fouad Matin called cyber defense a “team sport,” arguing “no one should be in the business of picking winners and losers.”

  • Treasury Secretary Bessent summoned Wall Street leaders to an emergency Mythos briefing last week, with concerns growing over its hacking capabilities.

Why it matters: It’s not yet clear how Cyber will stack up to Mythos’ monster benchmark scores, but it’s clear that the next generation of model upgrades is about to have some serious implications for cybersecurity. And the two rivals are taking very different approaches to how accessible each company’s advanced defense models are.

Nvidia ships open-source AI for quantum computing

Image source: Nvidia

Nvidia released Ising, the first family of open-source AI models designed to work with quantum computers — built to tackle technical problems like calibration and error decoding that have kept the tech from scaling out of the lab.

The details:

  • The first Ising model keeps the machines tuned automatically, turning what used to be a days-long manual job into something that takes hours.

  • The second fixes errors as they happen, hitting 2.5x the speed and 3x the accuracy of today’s best open-source alternative.

  • Nvidia CEO Jensen Huang called it “the operating system of quantum machines,” pitching AI as the missing layer that makes the tech scalable.

  • 20+ institutions are already using Ising at launch, including Harvard, Cornell, Fermilab, Sandia National Labs, IonQ, and UC Santa Barbara.

Why it matters: Nvidia ran the same playbook here that it used for self-driving cars (Alpamayo) and robotics (Isaac GR00T): release the open AI layer, lock in the ecosystem, own the infrastructure beneath a new computing paradigm. The company is planting its flag in a projected $11B quantum market before the race really starts.

Anthropic gives Claude Code a makeover in desktop

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Image source: Anthropic

Anthropic introduced a redesign to Claude Code’s desktop app built around the reality that devs now run multiple AI sessions at once, adding a sidebar for managing them, new drag-and-drop panes, and an integrated editor and terminal.

The details:

  • A new sidebar keeps all live and recent sessions in view, with filters by status or project and the ability to auto-archive once a pull request is closed or merged.

  • A drag-and-drop layout now allows users to customize the workspace and monitor multiple windows at once, with more reliability and speed.

  • Developers can now run tests, edit files, review Claude’s changes, and preview HTML or PDFs without switching to another tool.

  • Anthropic also launched routines in Claude Code, a new research preview that runs AI tasks on a schedule, via API, or whenever certain GitHub events happen.

Why it matters: The Claude Code redesign and routines both paint the same picture — Anthropic thinks devs are about to spend less time coding and more time using a team of AI agents. Pair routines with the parallel-session redesign, and Claude Code starts looking more like a command center for a half-human, half-AI workforce.

Allbirds ditches sneakers for AI, stock surges 373%

  • Allbirds, the sneaker company popular in Silicon Valley, sold its shoe brand for $39 million and is now pivoting to AI under the new name NewBird AI, sending its stock up 373 percent.

  • NewBird AI plans to become a GPU-as-a-Service and AI-native cloud solutions provider, and it secured a $50 million investment from an undisclosed institutional investor through a convertible financing facility.

  • The pivot echoes Long Island Iced Tea’s 2017 rebrand to blockchain, which saw a 275 percent stock jump before NASDAQ delisted it the following year after Bitcoin fever died down.

Snap cuts 16% of workforce, saying AI has reduced need for repetitive work

  • Snap is laying off about 1,000 people, roughly 16% of its full-time employees, and closing over 300 open roles, partly because AI tools have reduced the need for repetitive work.

  • The company expects these cuts to reduce its annualized cost base by more than $500 million by the second half of 2026, helping establish a clearer path to net-income profitability.

  • Affected U.S.-based employees will receive four months of severance, healthcare coverage, and equity vesting, along with career transition support, while international staff will get comparable local packages.

Google Chrome adds reusable one-click Gemini Skills

  • Google Chrome now lets users save Gemini prompts as “Skills,” which are reusable one-click shortcuts that can be accessed while browsing on the desktop version of the browser.

  • Previously, users had to manually type or copy-paste a prompt each time they wanted Gemini to do something in Chrome, but Skills remove that repeated effort entirely.

  • Saved Skills sync across devices through your Google account and can be triggered by typing a forward slash or clicking the plus button, running instantly in the current tab.

Amazon launches AI tool for drug discovery

  • Amazon Web Services has launched Amazon Bio Discovery, an AI tool designed to help researchers speed up the process of finding and developing new drug molecules.

  • The tool gives researchers access to a library of biological foundation models that can generate and evaluate drug molecules, plus an AI agent that helps set parameters and interpret results.

  • AWS vice president Rajiv Chopra said the service is meant to augment scientists, not replace them, addressing a bottleneck created by the growing demand for computational biologists in drug discovery.

‘Google app for desktop’ launches on Windows

  • Google has officially launched its “Google app for desktop” on Windows for English-speaking users worldwide, after testing began in September with a Google Labs sign-up requirement.

  • The app opens with an Alt + Space shortcut and lets you search the web, Google Drive, local files, and installed apps in a Mac Spotlight-like experience.

  • It includes AI Mode, Google Lens, screen sharing for contextual questions, and a floating results window, while a separate Gemini team is working on a macOS version.

How agents deepened AI’s compute crisis

The talk about AI being a bubble-driven hype cycle has largely stopped. Now the problem is that it can’t keep up with demand.

A perfect storm of factors has conspired against the AI industry, turning its compute shortage into an emerging crisis:

  • The war in Iran is disrupting tech products: The conflict is snarling global supply chains and threatening to unleash a new wave of inflation. One of the key elements of the semiconductor supply chain, helium, is a victim of the crisis. And that could affect many tech products, including those needed to build AI data centers. A prolonged conflict will continue to impact oil prices, driving inflation in logistics, shipping, and travel needed for the tech ecosystem to thrive.

  • AI agents are gobbling up tokens: The boom in AI agents over the past 90 days has triggered insatiable demand for inference, also known as the tokens needed to run AI queries and tasks. The Wall Street Journal reported that OpenAI’s token demand jumped from 6 million per minute in October 2025 to 15 billion per minute in March. Never mind the fact that many of those tokens are being used inefficiently by users and their agents, as OpenAI’s Peter Steinberger alluded to this week.

  • GPU, memory, and storage are scarce: Even before the recent supply disruptions, the tech industry had been facing a deepening shortage of GPUs, memory chips, and storage drives, all key components needed to build the machines that run AI. The shortages are now leading to price hikes, which could price out startups and leave AI industry giants gobbling up most of the components. Case in point: the Ornn Compute Price Index estimates that the cost of an hour of Nvidia GPU time has increased by 48 percent in the past months alone.

All of this is happening against the backdrop of Anthropic announcing Mythos, its most powerful model ever, while initially limiting access to a small number of partners. And OpenAI is preparing to launch its Spud model, which is also considered a step change, prompting the company to release a policy paper to spark public debate about the AI’s impact on jobs and societal well-being.

Anthropic has chalked up its motivation not to release Mythos more broadly to cybersecurity risks, claiming the model is “too powerful.” I believe it’s also clear that the company does not have the compute to run it.

Lumen CEO Says AI Bots Are Taking Over the Internet

Over half of the planet’s internet traffic is now made up of AI bots, according to Kate Johnson, chief executive officer of enterprise network giant Lumen Technologies Inc., forcing executives across sectors to rethink how their companies handle everything from customer-service requests to hidden network threats.

Thoma Bravo Signs Multiyear Deal With Google for AI Adoption

Software investor Thoma Bravo struck a strategic partnership with Alphabet Inc.’s Google Cloud to help the private equity firm’s portfolio companies accelerate their adoption of artificial intelligence.

Sweden Sees Russia Intensifying Cyber Attacks on Infrastructure

Russia’s intelligence services are now seeking to damage European infrastructure with cyber attacks rather than merely overwhelm websites with excess traffic, Swedish Civil Defense Minister Carl-Oskar Bohlin said.

Snap to Cut 16% of Its Workforce in Quest for Profitability

Snap Inc. is laying off roughly 1,000 full-time employees, or 16% of its global workforce, part of an effort by Chief Executive Officer Evan Spiegel to reduce costs and achieve profitability.

What Else Happened in AI on April 15th 2026?

AI personal finance startup Hiro announced that it is winding down operations, with its staff joining OpenAI.

AWS rolled out Amazon Bio Discovery, a new drug-design platform with biological foundation models and a built-in lab network for synthesis and testing.

UK AI safety evaluators said Claude Mythos Preview is the first AI to complete their 32-step corporate hack simulation, showing big jumps in cyber-attacks over Opus 4.6.

Baidu released ERNIE-Image, an 8B open-weight text-to-image model that nears top rivals on benchmarks despite its small size.

OpenAI’s Greg Brockman framed AI as the shift to a “compute-powered economy,” claiming ~1B weekly ChatGPT and Codex users on the company’s 10th anniversary.

AI fears: The US Treasury Department is seeking access to Anthropic’s newest artificial intelligence model, Mythos. Learn why.

Data center shuffle: Microsoft is taking over an expansion of a data center in Norway that was initially intended for OpenAI. See other sites that are swapping tenants.

New robot: Alibaba plans to release its first four-legged robot soon. Here’s a look at the company’s strategy in the increasingly crowded arena.

The iPhone keeps winning: The global smartphone market succumbed to the memory chip crunch in the first quarter of this year, marking its first decline since 2023. Apple and Samsung, however, managed to grow. This is how.

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[AI DAILY NEWS RUNDOWN] The AI Employer, OpenAI’s Revenue Attack on Anthropic, and Amazon’s $10B Acquisition (April 14th Rundown)

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

Summary: Q2 2026 continues with aggressive vertical integration and escalating pre-IPO corporate warfare. We perform a forensic analysis of the “Luna” experiment, where an AI agent was given a $100K budget and total autonomy to run a retail boutique—effectively becoming a corporate employer. We deconstruct a leaked memo from OpenAI’s revenue chief, Denise Dresser, accusing rival Anthropic of artificially inflating its $30B ARR by booking gross revenue from cloud-partner sales. We also analyze Amazon’s $10.8B acquisition of Globalstar to build an orbital satellite network, and OpenAI’s acquisition of fintech startup Hiro. Finally, we review Stanford’s sobering 2026 AI Index Report, which confirms China has erased the US lead in AI performance, and highlights a 20% drop in entry-level developer employment.

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 HERE.

Important Topics Covered:

  • The AI Employer: Andon Labs deploys “Luna,” an autonomous agent running a physical retail store in San Francisco with a $100K budget, highlighting both the potential and the “hilariously broken” reality of real-world agentic deployment.

  • Pre-IPO Warfare: OpenAI’s Denise Dresser accuses Anthropic of inflating its $30B run rate by $8B through gross accounting tactics, while Ramp data shows Anthropic rapidly closing the gap in enterprise AI-paying customers.

  • M&A Consolidation: Amazon acquires Globalstar for $10.8B to build a Starlink rival, and OpenAI acquires fintech startup Hiro to push ChatGPT into corporate finance.

  • Stanford’s 2026 AI Index: The confirmation that Chinese open-weight models have achieved performance parity with the US, while US developer employment for ages 22-25 has fallen nearly 20% since 2024.

  • Microsoft’s OpenClaw Rival: Microsoft is building an “always-on,” multi-step agent for 365 Copilot to compete directly with open-source tools like OpenClaw.

  • Meta Overtakes Google: Emarketer forecasts Meta will surpass Google in global ad revenue by the end of 2026, driven by AI-generated ads and Advantage+.

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Amazon buys Globalstar:

The cloud and ecommerce (and just about everything else) giant picked up the global communications company for $10.8 billion, in a combination of stock and cash. The goal is a Starlink-esque project to build out a satellite network in orbit, then use it as a foundation to launch consumer internet and connectivity services. You should be able to sign up for Amazon-branded voice, data, and messaging by 2028. The company also announced a preliminary deal with Apple, which was already working with Globalstar, allowing Amazon satellites to connect to Apple devices — like iPhones and Apple Watches — for emergency texting. Amazon has been very public about plans to add satellite-powered internet services. Last year, the company launched its first array of 27 satellites into orbit as part of Project Leo (née Kuiper).

Glydways raising $250M in fresh capital:

At least, according to Bloomberg. That’s on top of a $170 million Series C round it announced just this AM. They automated vehicle startup is seeking a valuation of over $1 billion. They have a unique take on urban transportation. Rather than working on automated cars designed to traverse our current roads, they’re developing a closed-loop system in which automated pod-like vehicles move passengers around on dedicated two meter-wide “expressways.” That’s certainly an expansive vision, but founder and CEO Mark Seeger insists that it’s already on its way to becoming a reality. He tells Bloomberg the startup is ready to move “from skepticism to deployment,” and notes that construction projects are already underway in Abu Dhabi and Dubai, with a pilot program near Atlanta’s busy Hartsfield-Jackson Airport breaking ground earlier this year. Investors include Khosla Ventures, several Japanese auto concerns, and OpenAI founder Sam Altman.

OpenAI acquires fintech startup Hiro:

Speaking of OpenAI, they’re on something of an acquisition run of late. The latest pick-up: personal finance company Hiro Finance. (As Hiro was on its way to shutting down, and a number of Hiro staffers — including founder Ethan Bloch — are moving over to OpenAI, TechCrunch is technically labeling this an acqui-hire.) Hiro was formed in 2024, and launched its first product — a consumer-facing AI-powered financial planning app — in late 2025. Users give the platform a general feel for their financial situations — submitting their salary, debts, monthly budget, and so on — and the app helps them make financial planning decisions and explore “What If” scenarios. TechCrunch notes that OpenAI previously purchased other financial products, and theorizes that the company will expand ChatGPT into being a go-to application for “business finance teams.”

Meta overtakes Google in global ad revenue

  • Meta is forecast to pass Google in global ad revenue by the end of 2026, generating US$243 billion compared to Google’s US$239.5 billion, according to Emarketer’s latest outlook.

  • Meta’s growth rate is expected to hit 24.1% in 2026, nearly double Google’s 12%, while Google’s share of global digital ad spend has been declining since 2021.

  • Emarketer analysts credit tools like Advantage+ and AI-generated ads for pulling more ad dollars to Meta, saying advertisers follow performance rather than reacting to legal risks.

Microsoft is working on OpenClaw-like agent

  • Microsoft is building an agent with features similar to the open source OpenClaw tool and plans to integrate it into its existing Microsoft 365 Copilot product for enterprise customers.

  • The company already offers cloud-based agents like Copilot Cowork and Copilot Tasks, but the new project may run locally on a user’s computer, much like OpenClaw does.

  • Microsoft told The Information the agent would be an always-working version of 365 Copilot that completes multistep tasks over long periods, and it may appear at Build in June.

OpenAI accuses Anthropic of inflating revenue by $8 billion

  • OpenAI’s chief revenue officer Denise Dresser accused Anthropic in an internal memo of overstating its $30 billion run rate by about $8 billion by booking gross revenue from cloud-partner sales through AWS, Azure, and Google Cloud.

  • Both gross and net accounting methods comply with US GAAP, but OpenAI says its own net reporting of Microsoft sales is closer to public-company standards, a distinction that could matter as both firms prepare for dual IPOs.

  • Ramp corporate-card data shows Anthropic at 30.6 percent of enterprise AI-paying customers versus OpenAI’s 35.2 percent, with a projected crossover within two months, adding pressure behind the timing of Dresser’s memo.

Google Search flags ‘back button hijacking’ as spam

  • Google Search has updated its spam policy to treat back button hijacking — where sites prevent users from returning to the previous page — as a violation that can lower a site’s ranking.

  • Pages caught using this deceptive practice will face manual spam actions or automated demotions, with Google noting it has seen a rise of this type of behavior across the web recently.

  • Site owners have until June 15, 2026, to remove any scripts or advertising platform code responsible for back button hijacking, including third-party libraries that may cause the problem without their knowledge.

Microsoft raises Surface PC prices by $500 amid RAM shortage

  • Microsoft has increased prices on all Surface PCs by up to $500, with the flagship Surface Laptop 7 and Surface Pro 11 now costing far more than their original 2024 launch prices.

  • Sources say the price increases are driven by recent spikes in RAM and component costs, and the Surface Laptop 7 at $1,499 is now $400 more expensive than the new MacBook Air.

  • Microsoft’s upcoming wave of refreshed Surface PCs, expected over spring and summer, will likely maintain or even increase these starting prices if component pricing does not improve soon.

OpenAI ‘superapp’ prepares for agentic leap

OpenAI’s forthcoming “superapp” is one of the worst-kept secrets in AI right now.

During a walk in San Francisco last month, I told The Deep View CEO, Faris Kojok, that the most challenging part of using OpenAI’s products was switching between the three desktop apps. Apparently, I wasn’t the only one thinking that, because less than a week later, reports began circulating that the company would merge the three apps into a single superapp.

Since then, the OpenAI team has been publicly discussing it on Twitter and in podcasts. The most prominent of which was when President Greg Brockman appeared on the Big Technology Podcast and told Alex Kantrowitz when and how the new superapp would be rolled out.

“We’re taking incremental steps to get there. Over the next couple months, we should have shipped the complete vision … but it’s going to come in pieces,” said Brockman. “The place that we’re starting today is with the Codex app, which is really two things in one. It’s a general agent harness that knows how to use tools, and it’s also an agent that knows how to write software. That general agent harness can be used for so many different things… So we’re going to make the Codex app so much more usable for general knowledge work.”

Why would OpenAI bring the three apps together? First, let’s look at what they do.

  • ChatGPT desktop app: This is the traditional ChatGPT app that has been around for the past several years. It makes it easy to view and search all of your past chats and organize them into projects. You can also quickly search for custom GPTs and apps to extend the chatbot’s functionality by adding features from tools like Photoshop, Canva, insurance apps, and hiring apps.

  • Atlas web browser: In October 2025, OpenAI launched the ChatGPT Atlas web browser. Following in the footsteps of Perplexity Comet, launched in mid-2025, OpenAI built its browser on Google’s open-source Chromium platform, which runs most of the web. Very quickly, Atlas became my preferred way to use ChatGPT for one simple reason: its ability to open multiple tabs, keeping several different queries quickly accessible.

  • Codex app: As Brockman noted, the app has two parts. Most people think of it as a coding tool. But the second part is a general-purpose agent that can carry out tasks for you. And that’s where the combination of a web browser and an AI agent gets interesting. If you can open multiple instances of ChatGPT in tabs, then you can use your Codex agent to carry out various tasks, all at the same time.

Why Kurzweil still sees AGI coming by 2029

Last week’s HumanX event offered no shortage of meaningful AI conversations, whether in panels, one-on-one meetings, or casual exchanges. One conversation, however, stayed with me.

Ray Kurzweil is an inventor, futurist, and one of the most consequential figures in the history of AI. His pioneering work on OCR and text-to-speech laid critical groundwork for the AI revolution unfolding today, and his books, including The Age of Intelligent Machines and The Singularity Is Near, have shaped how generations of thinkers and builders understand where technology is headed.

He has also had a pretty remarkable track record of accurately predicting where technology will go next, and one prediction in particular has never stopped turning heads: in 1999, he predicted that human-level intelligence, what we now call AGI, would arrive by 2029.

In a panel discussion alongside his son Ethan Kurzweil, co-founder and managing partner of the venture firm Chemistry, and Shirin Ghaffary, AI reporter at Bloomberg, Ray shared further insight into where his prediction stands today and made clear that he still believes it will come to pass.

“I predicted that there would be a several-yearfold increase where people would start to face AGI, not everybody would, and everybody would face AGI a few years later, so that’s consistent with that prediction that we would start now,” said Ray.

Broadly speaking, AGI refers to artificial intelligence capable of understanding, learning, and reasoning at or beyond a human level. It’s a prospect that has prompted serious concern across many quarters, from questions of job stability and the potential for weaponization, to deeper anxieties about humanity’s role in a world shaped by that kind of intelligence.

Ray, however, holds a far more optimistic view. During the panel, he argued that the positive outcomes of AI will ultimately outweigh the negative, and that nearly every industry, including housing and food, will be transformed through AI breakthroughs.

When asked about the rapid pace of discovery driven by fierce competition in the space, he welcomed that dynamic as well, noting that competition fuels exponential growth and that it is precisely that competition that will make the next ten years ‘absolutely fantastic.’

“Even though some people hold a negative premise about [AGI], we’ve been able to create something that actually represents knowledge, and that’s really fantastic: AI that can expand our knowledge,” added Ray.

AI’s surge is widening gaps in trust and policy

The rapid pace of AI development can often feel like endless noise. Stanford University wants to provide some clarity.

On Monday, the university’s center for Human-Centered Artificial Intelligence, or HAI, released its 2026 AI Index report, offering a comprehensive view of some of the most poignant trends impacting the AI industry. Big picture: AI is growing and transforming faster than ever, and no one knows for sure how it’s going to impact our future.

Here are some key takeaways:

  • AI capability and adoption are growing rapidly, but safety measures can’t keep up. More than 90% of notable frontier models were released in 2025, with several meeting or exceeding human baselines on PhD-level work. Organizational adoption reached 88%, and 80% of university students use generative AI. But reporting on responsible AI benchmarks remains uneven, and “documented AI incidents” rose to 362 in 2025, up from 233 in 2024.

  • The US leads in some ways and lags in others. The report claims the US-China model gap has effectively closed, with Anthropic’s top model leading China’s by 2.7%. And while the US leads in data center density and AI investment, the country’s ability to attract talent has declined, with the number of AI researchers and developers moving to the US falling by 80% in the last year alone.

  • Adoption is on the rise, but formal education isn’t. Consumers are seeing substantial value out of AI tools they can access for free, according to the report. Generative AI has reached 53% of the population over the last three years, but is uneven across countries. The US, for instance, sits at a roughly 28% AI adoption rate. Though four out of five students use it in class, only half of middle and high schools have AI policies in place, and only 6% of educators say those policies are clear and concise.

And broadly, the public still isn’t optimistic about how AI will shape the future. While 73% of AI experts have a positive sentiment towards how AI will impact their jobs, only 23% of the public shares that sentiment, the report finds.

AI agent hires humans, opens boutique in SF

Image source: Andon Labs

The Rundown: Andon Labs just dropped an AI agent named Luna into a real retail space with a $100K budget and a credit card, with the AI creating a boutique, hiring workers, and managing the shop as what may be the world’s first AI employer.

The details:

  • Andon Labs’ last experiment was an AI vending machine at Anthropic, with the new one giving a 3-year lease, $100K budget, and total autonomy.

  • Luna’s only directive was to turn a profit, with the AI creating the boutique concept, posting job listings, and handling interviews over Zoom (camera off).

  • The agent runs on Claude Sonnet 4.6 for reasoning and Gemini 3.1 Flash-Lite Preview for voice, observing the store via screenshots from security cameras.

  • When hiring a painter, Luna accidentally selected Afghanistan on TaskRabbit’s dropdown menu, and later botched the opening-weekend staff schedule.

Why it matters: Real-world agent experiments like this keep producing the same result: capable in some areas, but hilariously broken in others. But every model upgrade, memory advance, and agentic feature is going to help close that gap, with a version of Luna that doesn’t make these mistakes likely only a generation or two away.

OpenAI talks Anthropic rivalry, Amazon upside

OpenAI’s CRO Denise Dresser sent an internal memo calling Anthropic’s $30B run rate “inflated”, labeling it a “single-product company in a platform war” and pointing to the Amazon deal as a way to break free from Microsoft constraints.

The details:

  • The memo, published by The Verge, calls Anthropic’s compute shortage a ‘strategic misstep’, saying users now face throttled access and availability.

  • Dresser said Anthropic’s message is built on “fear” and “restriction,” and that OpenAI’s “positive message will win over time.”

  • She also accused the rival of inflating its revenue numbers via accounting tactics, claiming they overstate the run rate by around $8B.

  • Dresser also called OAI’s Microsoft deal limiting for enterprise business, noting “staggering” demand for Bedrock since February’s Amazon deal.

Why it matters: Either OpenAI is using “internal” memos to leak out information strategically to the media, or they are extremely bad at keeping things in-house. Either way, this memo reads like an IPO pitch more than a strategy update — and with both rivals racing to public debuts this year, that’s probably the point.

Stanford’s AI index: 53% adoption, 31% trust

Image source: Stanford HAI

The Rundown: Stanford HAI released its 2026 AI Index, showing tech that has now reached over half the world’s population faster than the PC or internet — but with public trust in AI sitting at record lows and entry-level workers already losing jobs.

The details:

  • Almost 3/4 of AI experts are optimistic about the tech’s impact on jobs, but only 23% of the public agrees, the widest gap the report has tracked.

  • The US builds most of the world’s AI but ranks just 24th in actually using it at 28.3% adoption, behind Singapore, the UAE, and most of Southeast Asia.

  • China has nearly erased the US lead on AI benchmarks with Anthropic’s top model ahead by 2.7%, while AI researchers moving to the U.S dropped 89%.

  • Dev employment for ages 22-25 fell nearly 20% since 2024, even as older engineer headcounts grew, and firm surveys say planned cuts will accelerate.

Why it matters: These are just a few of the countless interesting stats in the 400+ page report. The expert-public divide is a timely stat, given the current anti-AI climate playing out in scary ways. AI insiders see a productivity boom, but regular people aren’t buying it, and just 31% Americans trust the government to manage the changes.

What Else Happened in AI on April 14th 2026?

Apple is reportedly building its first smart glasses with four frame options and an oval camera system, with plans to take on Meta’s Ray-Bans as early as 2027.

Legal AI startup Harvey launched Agents, autonomous bots that can execute full legal workflows, including research, memos, and slide decks across 13 domains.

Microsoft is building OpenClaw-style features for 365 Copilot, including agents that work 24/7 inside Office Apps, with a preview likely at its Build conference in June.

SoftBank launched a new company backed by NEC, Honda, Sony, and five other Japanese firms to build a homegrown 1T-parameter physical AI model.

Man charged in arson attack on Sam Altman’s house had AI CEO kill list, prosecutors say [LINK]

Anthropic is set to release Claude Opus 4.7 and a new AI design tool as early as this week. [LINK]

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[AI DAILY NEWS RUNDOWN] The Claude Mania Takeover, OpenAI’s Partner Friction, and Biological Chips (April 13 2026)

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

This episode is made possible by our sponsors:

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

Important Topics Covered:

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

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

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

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

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

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

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

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

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

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

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

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

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

“Claude Mania” Took Over AI’s Biggest Conference

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

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

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

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

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

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

AI Catches GLP-1 Side Effects That Clinical Trials Missed

Article content

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

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

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

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

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

The Coding Agent Arms Race Just Got a Third Competitor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Apple tests four smart glasses designs

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

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

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

Meta is building an AI clone of Mark Zuckerberg

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

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

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

China erases US lead in AI per Stanford report

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

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

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

Anthropic plots Lovable challenger, leak suggests

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

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

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

Internet Archive faces existential legal threat

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

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

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

OpenAI blames Microsoft for limiting cloud partnerships

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

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

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

Biological chips could solve AI’s bottleneck

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

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

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

Here’s how it works:

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

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

What Else Happened in Ai on April 13th 2026?

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

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

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

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

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

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

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

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

Meta Is Warned That Facial Recognition Glasses Will Arm Sexual Predators

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

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

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

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

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

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

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

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

George Hotz: OpenAI is nothing without its people

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[AI HEALTH SPECIAL EDITION] The Ozempic Algorithm: How AI Scanned 400,000 Reddit Posts to Find Hidden Side Effects (April 12th 2026)

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


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[AI WEEKLY NEWS RUNDOWN] The Mythos Era: Superintelligence Policy and the Frontier AI Race (Weekly Recap From April 05 to April 12 2026)

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

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

Important Topics Covered:

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

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

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

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

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

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

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

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

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

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Anthropic’s Project Glasswing shows off Mythos AI

Image source: Anthropic

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

The details:

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

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

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

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

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

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

Anthropic Mythos triggers anxiety among Washington banks

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

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

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

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

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

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

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

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

Suspect arrested after Molotov cocktail thrown at Altman’s home

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

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

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

OpenAI wants to shield AI companies from lawsuits

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

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

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

Perplexity plugs its AI agent into bank accounts

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

The details:

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

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

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

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

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

Oxford AI catches heart failure five years early

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

The details:

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

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

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

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

Anthropic explores building its own AI chips

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

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

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

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

Why is this important?

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

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

What Google has done:

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

Here is the latest example:

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

Snap gets closer to releasing new AI glasses

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

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

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

OpenAI launches $100 ChatGPT Pro plan

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

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

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

Meta reenters the AI race with Muse Spark

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

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

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

Andy Jassy defends Amazon $200B spending spree

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

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

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

Appeals court keeps Pentagon blacklisting of Anthropic in place LINK

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

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

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

OpenAI pauses Stargate UK over energy costs

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

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

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

Google AI Overviews delivers wrong answers 10% of the time

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

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

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

Meta Superintelligence Labs ships its first model

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

The details:

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

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

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

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

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

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

Meta to open-source new AI models

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

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

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

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

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

The details:

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

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

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

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

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

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

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

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

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

Anthropic doubles down on Google Cloud TPUs

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

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

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

Meta employees compete on internal AI usage leaderboard

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

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

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

Sam Altman proposes AI tax and regulation blueprint

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

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

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

Vibe coding boosted App Store submissions in 2025

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

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

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

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[WEEK-END SPECIAL – AI/TECH/SCIENCE NEWS RUNDOWN] Artemis Returns, The AI Bank Panic, and the Psychology of Conflict (April 11th 2026)

🎧 Visit Our Web Site at https://djamgamind.com

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

Important Topics Covered:

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

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

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

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

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

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

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

NASA Artemis II crew splashes down after Moon flyby

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

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

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

France to ditch Windows for Linux

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

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

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

Suspect arrested after Molotov cocktail thrown at Altman’s home

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

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

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

Anthropic Mythos triggers anxiety among Washington banks

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

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

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

Google calls Polymarket results in News an “error”

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

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

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

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

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

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

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

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

Why is this important?

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

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

What Google has done:

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

Here is the latest example:

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

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

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

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

Other labs:

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

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

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

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

r/singularity - Damn Meta is back!! Meta Muse Spark ranks 4th in Artificial Analysis Index!!

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

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

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

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

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

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

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

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

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

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

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

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[AI DAILY NEWS RUNDOWN] OpenAI’s “Catastrophe” Liability Shield, Perplexity’s Bank Integration, and the Compute Bottleneck (April 10th 2026)

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

Important Topics Covered:

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

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

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

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

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

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

OpenAI wants to shield AI companies from lawsuits

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

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

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

ChatGPT partners with Upwork on hiring

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

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

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

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

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

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

Anthropic explores building its own AI chips

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

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

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

Google News now prominently features Polymarket

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

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

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

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

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

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

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

Snap gets closer to releasing new AI glasses

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

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

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

OpenAI launches $100 ChatGPT Pro plan

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Perplexity plugs its AI agent into bank accounts

Image source: Perplexity

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

The details:

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

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

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

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

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

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

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

The details:

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

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

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

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

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

Oxford AI catches heart failure five years early

Image source: Lovart / The Rundown

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

The details:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What Else Happened in AI on April 10th 2026?

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

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

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

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

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

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

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

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

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

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

WSJ: A Fiery Re-Entry Awaits the Artemis Astronauts

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

CoreWeave Announces Multi-Year Agreement With Anthropic

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

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

OpenAI expects ad revenue to reach $102 billion by 2030

Alibaba’s new video model beats ByteDance’s Seedance

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

Anthropic reportedly considers designing its own chips

Meta is reassigning engineers to its applied AI engineering division

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[AI DAILY NEWS RUNDOWN] Amazon’s $200B Capex Bet, OpenAI’s Energy Wall, and Meta’s Proprietary Pivot (April 09 2026)

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

This episode is made possible by our sponsors:

  • DjamgaMind: High-Fidelity Intelligence for the C-Suite. Strategic audio forensics in Enterprise Tech, Healthcare, and Finance. Visit DjamgaMind.com.

Important Topics Covered:

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

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

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

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

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

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

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

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

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

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

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

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

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

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

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

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

Anthropic simplifies the agent-building system

Image source: Anthropic

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

The details:

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

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

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

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

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

Andy Jassy defends Amazon $200B spending spree

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

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

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

Tesla is developing a new smaller, cheaper EV

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

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

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

Meta removes ads for social media addiction litigation

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

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

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

Appeals court keeps Pentagon blacklisting of Anthropic in place

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

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

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

OpenAI pauses Stargate UK over energy costs

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

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

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

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

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

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

Meta pulls ads for anti-Meta law firms:

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

Gen Z uses, detests AI:

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

SiFive raises $400M:

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

Andy Jassy Resets AI Narrative

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

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

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

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

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

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

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

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

What Else Happened in AI on April 09th 2026?

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

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

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

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

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

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

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

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

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

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

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

WSJ: Amazon CEO Presses His Case for Big AI Spending

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

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

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

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

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

Aisle: AI Cybersecurity After Mythos: The Jagged Frontier

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

Posted on

[AI DAILY NEWS RUNDOWN] The AI Class Divide, the $21B FBI Scam Report, and Google’s Millions of Lies (April 8th 2026)

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

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

Important Topics Covered:

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

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

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

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

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

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⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

Anthropic’s Project Glasswing shows off Mythos AI

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

The details:

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

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

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

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

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

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

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

Image source: Zhipu AI

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

The details:

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

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

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

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

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

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

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

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

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

Anthropic continues to rise, locks in 3.5GW compute

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Image source: Anthropic

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

The details:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

FBI reports record $21 billion lost to cybercrime last year

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

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

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

NYT claims it has identified the inventor of bitcoin

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

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

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

Google Chrome adds vertical tabs

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

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

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

Google AI Overviews delivers wrong answers 10% of the time

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

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

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

Meta drops Muse Spark model:

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

Perplexity hits $450M in ARR

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

Patlytics is Harvey for patent law

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

What Else happened in AI on April 08th 2026?

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

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

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

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

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

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

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

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