Tag: Tech Daily Rundown

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

Important Topics Covered:

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

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

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

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

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

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

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

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

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NASA Artemis II crew splashes down after Moon flyby

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

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

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

France to ditch Windows for Linux

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

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

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

Suspect arrested after Molotov cocktail thrown at Altman’s home

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

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

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

Anthropic Mythos triggers anxiety among Washington banks

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

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

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

Google calls Polymarket results in News an “error”

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

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

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

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

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

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

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

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

Why is this important?

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

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

What Google has done:

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

Here is the latest example:

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

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

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

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

Other labs:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Important Topics Covered:

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

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

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

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

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

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

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

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

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

OpenAI wants to shield AI companies from lawsuits

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

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

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

ChatGPT partners with Upwork on hiring

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

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

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

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

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

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

Anthropic explores building its own AI chips

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

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

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

Google News now prominently features Polymarket

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

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

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

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

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

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

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

Snap gets closer to releasing new AI glasses

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

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

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

OpenAI launches $100 ChatGPT Pro plan

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Perplexity plugs its AI agent into bank accounts

Image source: Perplexity

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

The details:

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

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

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

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

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

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

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

The details:

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

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

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

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

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

Oxford AI catches heart failure five years early

Image source: Lovart / The Rundown

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

The details:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

What Else Happened in AI on April 10th 2026?

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

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

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

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

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

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

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

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

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

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

WSJ: A Fiery Re-Entry Awaits the Artemis Astronauts

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

CoreWeave Announces Multi-Year Agreement With Anthropic

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

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

OpenAI expects ad revenue to reach $102 billion by 2030

Alibaba’s new video model beats ByteDance’s Seedance

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

Anthropic reportedly considers designing its own chips

Meta is reassigning engineers to its applied AI engineering division

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

This episode is made possible by our sponsors:

• 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:

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

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

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

⚗️ PRODUCTION NOTE: We Practice What We Preach.

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

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