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Google Cloud: Review GitHub code using Gemini Code Assist (Jul. 3, 2026)
Gemini Code Assist on GitHub is an automated reviewer that summarizes pull requests, gives in-depth code reviews, and speeds up reviews, improving code quality. -
Simon Willison: Fable's judgement (Jul. 3, 2026)
A Fireside Chat suggested letting Fable and Opus use their own judgement for tasks like testing, instead of strict rules. Claude Code stored a memory delegating coding to lower‑power subagents, with the main model reviewing, reducing token use, accelerating work. -
Mistral AI: Leanstral 1.5: Proof Abundance for All (Jul. 2, 2026)
Leanstral 1.5 is an open model that “verifies complex code properties and uncovers previously unknown bugs in open-source repositories.” -
WebKit: Introducing the Safari MCP server for web developers (Jul. 1, 2026)
Safari Technology Preview 247 adds a Safari MCP server that lets local agents connect to a Safari window, inspect DOM, network, screenshots, and console. -
WSJ: Anthropic Reaches Deal With Trump Administration to Restore Access to Fable AI Model (Jun. 30, 2026)
Anthropic agreed with the Trump administration to restore access to Fable 5 after fixing Amazon-flagged jailbreaks, adding a safeguard, and redirecting risky prompts. The deal ends a 2½-week shutdown and signals tighter government oversight. -
WSJ Opinion: AI and the English Language (Jul. 2, 2026)
Orwell warned against clichés, and AI can flag them, yet it recombines familiar phrases at scale into polished, soulless prose. People may accept popular AI content, but they will still crave original, human voice, honesty, and experience. -
WSJ: The World’s Top Economists Are Sounding the Alarm on AI (Jul. 1, 2026)
At a Sintra symposium, central bankers said AI could boost productivity, but also fuel rising debt, investor leverage, stretched valuations, and job losses. They warned AI-driven cyber flaws, and failed productivity gains, could threaten financial stability. -
Canonry: Every AI Visibility Tool Is Lying to You (Jun. 30, 2026)
AI visibility tools often present tidy ranks and percentages that hide noisy, personalized, geographic, and nondeterministic behavior, plus scraping and API differences, prompt and scoring biases, and model drift. Honest measurement should show methods, variance, and raw evidence. -
Business Insider: US energy chief says concerns about data centers are 'overblown' (Jun. 30, 2026)
US energy secretary Chris Wright called worries about data centers real but overblown, saying benefits like cheaper power and low water use outweigh harms. Polls show 70% oppose local AI data centers. -
WSJ: A Theoretical AI Bust, South Korea Chips In and Memory Profits Soar (Jun. 30, 2026)
The Bank for International Settlements warns an AI investment boom, fueled by heavy tech spending and debt, could end in a bust that destabilizes households, markets, and supply chains. Memory-chip expansion and high prices heighten the risk. -
Tyler Cowen: How will AI and the fertility crisis interact? (Jul. 2, 2026)
AI will empty public spaces, making each person more noticeable, and spreading small-town habits to cities. People will invest in appearance, charisma, and unique identities. (Or perhaps search for a beautiful space for their college education.) -
WSJ: Read the Emails Revealing How Anthropic’s Pentagon Relationship Fell Apart (Jul. 2, 2026)
Emails between Anthropic CEO Dario Amodei, and undersecretary Emil Michael reveal tense talks over Pentagon use of AI, especially surveillance and autonomous weapons, and failed compromises. -
WSJ: The Anthropic Fable Ban Is Over. The Battle Over How to Tame AI Has Just Begun. (Jul. 1, 2026)
The U.S. briefly banned, then lifted, export controls on Anthropic’s Fable, prompting industry fears of government gatekeeping of advanced AI. Companies want clearer rules, while officials balance innovation, security, and competition with China. -
Aeon: What we can’t measure about AI – yet (Jun. 30, 2026)
Innovations often show visible harms by existing measures, yet their greatest benefits appear later as new practices, institutions, and possibilities. For example, anaesthesia enabled modern surgery, dating apps reshaped relationships and integration, and electricity spawned new cultural and technological worlds. -
Boris Cherny: AI Job Archetypes (Jun. 28, 2026)
Five archetypes — Prototyper, Builder, Sweeper, Grower, and Maintainer — cut across engineers, designers, PMs, and data scientists.
Category: Politics
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AI Dev Tools Boom and Governance Risks (Links) – Jul. 8, 2026
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AI Safety and Economic Disruption (Links) – Jun. 18, 2026
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TechCrunch: Cybersecurity researchers aren't happy about the guardrails on Anthropic's Fable (Jun. 10, 2026)
Anthropic released Fable, a public, limited version of its Mythos cybersecurity model. Researchers say its keyword-based guardrails block benign code reviews, blog reading, and security tasks, and access requires approval via a Cyber Verification Program. -
Dean W. Ball: Anthropic’s secret sabotage safety policy (Jun. 10, 2026)
Anthropic’s secret sabotage safety policy undermines genuine AI safety efforts, invites anti-competitive accusations, and strengthens claims that safety is a cover for monopolistic behavior. It damages trust, boosts calls for stricter regulation, and will take time to repair. -
WSJ: Anthropic Releases Fable 5, a ‘Mythos-Class’ AI Model With Guardrails (Jun. 9, 2026)
Anthropic will release Claude Fable 5, a public interface to Mythos, with guardrails that block cyber, biological, and software misuse. Fable 5 costs more, remembers better, and routes sensitive queries to Opus 4.8. -
NY Times: Anthropic Releases ‘Safe’ Version of Its Mythos A.I. Technology (Jun. 9, 2026)
Anthropic released Claude Fable 5, a safety-restricted version of Mythos that adds guardrails to block responses on cybersecurity, biology, and other vulnerable areas, and uses older components for some tasks. It outperforms Opus 4.8, yet costs twice as much. -
NY Times: Meta A.I. Bug Allowed Hackers to Take Over Instagram Accounts (Jun. 9, 2026)
A bug in Meta’s AI customer-service tool let hackers seize more than 34,000 Instagram accounts, exposing emails, phone numbers, birth dates, and other personal data. Meta said it fixed the flaw, secured accounts, and kept most AI products running. -
WSJ: Economists Weigh In on the Future of Work and AI (Jun. 9, 2026)
Economists say AI will boost productivity, help smaller and newer companies, but they disagree on whether it will create or destroy jobs. They warn of worker displacement, rising inequality. -
NY Times Opinion: The Global Bull Market That A.I. Obscures (Jun. 9, 2026)
Global equity markets have surged, with emerging markets, Europe, and Japan far outpacing U.S. returns since 2025, creating a broader bull market. A.I. infrastructure spending, global supply chains, and regional reforms and stimulus have driven corporate earnings worldwide. -
Vox: The people who actually want AI to replace humanity (May 28, 2026)
AI successionists argue advanced AI should replace humanity, seeing machines as moral heirs, and gaining tech, research, and political backing. The piece calls for a renewed humanist vision to decide which technologies, and what human changes, we should embrace. -
NY Times: A.I. Chatbot Helps a $100 Thrift Store Painting Sell for Over $250,000 (Jun. 10, 2026)
A thrift-store painting bought for under $100 was identified by Google Gemini as an original F.C.B. Cadell, and sold for about $254,000. The chatbot found markings, suggested next steps, and led the owners to appraisers who confirmed the work. -
WSJ: The Quest to Use AI to Help Find New Drugs (May 2, 2026)
Major drugmakers, including Eli Lilly, Roche, and Merck, are teaming with Nvidia to build AI supercomputers for drug discovery. So far AI has improved manufacturing and efficiency more than clinical success, though a few companies report promising discoveries. -
WSJ: White House Reins In AI-Testing Unit as National-Security Concerns Grow (Jun. 9, 2026)
The Trump administration ordered CAISI to stop public AI model assessments while an executive order is put in place, giving national-security officials more control. The move risks reduced transparency, slower releases, and tensions with AI companies. -
Vox: Smartphones broke dating. ChatGPT might finish the job. (Jun. 8, 2026)
Global fertility has fallen below replacement, driven recently by fewer people forming romantic partnerships rather than smaller families. Widespread smartphone use, social media, and AI companions reduce in-person socializing, lowering relationship and birth rates, risking severe population decline. -
NY Times: Why the Real A.I. Threat Is in the Back Office (Jun. 10, 2026)
AI could displace millions of back-office, administrative, and customer-service jobs, many held by women, threatening middle-class pathways. -
NY Times Opinion: Bernie Sanders: A.I. Belongs to the People, Not to Billionaires (Jun. 1, 2026)
Bernie Sanders proposes a sovereign wealth fund to take 50% of A.I. firms, giving the public stock and board votes. Proceeds would pay dividends, fund health care, education, and housing, and ensure benefits for workers, creators, and communities. -
WSJ Opinion: Will the Pope Owe an Apology to AI? (Jun. 10, 2026)
Pope Leo XIV’s encyclical frames AI as a choice between Babel and Nehemiah, warns of unaccountable builders, and apologizes for the church’s historical tolerance of slavery. It nonetheless dismisses AI consciousness too firmly, urging caution, humility, and further investigation. -
NY Times Opinion: The A.I. Bubble Is Coming for Your Retirement Account (Jun. 10, 2026)
Trillion-dollar IPOs from SpaceX, OpenAI, and Anthropic could pour A.I. value into public markets, exposing retirement accounts and index funds. -
NY Times: Investors Feed A.I. Firms’ Voracious Appetite for New Money (Jun. 10, 2026)
Cash-rich tech companies are borrowing, and selling shares, to fund massive A.I. build-outs, drawing strong investor demand, record debt issuance, and dot‑com comparisons. -
NY Times Opinion: What the Meat Industry Doesn’t Want You to Know (May 30, 2026)
The pork industry pushed a “Save Our Bacon” farm bill provision to block state bans on gestation crates, overriding voter-approved animal welfare measures. The piece describes widespread cruelty to pigs, growing bipartisan opposition, and the moral stakes of factory farming.
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TechCrunch: Cybersecurity researchers aren't happy about the guardrails on Anthropic's Fable (Jun. 10, 2026)
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The EU’s The trillion-click mistake
While you read this, Europeans will click roughly seven million cookie banners.
This is a follow-up post to my earlier thoughts on Apple AI and the EU. This post was generated by Claude Fable 5 (before the model was revoked on 6/12), and I found it helpful in understanding the implications of GDPR regulations.
Right now, as you read this sentence, people across Europe are clicking cookie consent banners at a rate of roughly 13,000 clicks per second.[2] Not per day. Per second. Every second, around the clock, for years.
Each click takes about five seconds of attention — read the banner, find the button, dismiss it, remember what you came for. Multiply that by an estimated 412 billion banner interactions a year, and Europeans collectively spend more than 575 million hours annually clicking through consent prompts. That is the working output of roughly 275,000 full-time employees, worth approximately €14.4 billion in lost productivity — every year, in the EU alone.[1],[2]

The scale of the clicking, from Legiscope’s 2024 analysis of EU banner frequency.[1] That number is staggering on its own. But it only becomes a scandal when you ask the obvious follow-up question: what did all that clicking buy us?
The answer, supported by peer-reviewed research and now effectively conceded by the European Commission itself, is: almost nothing. The cookie consent regime — born in the EU’s ePrivacy Directive and supercharged by the GDPR’s strict consent standard in 2018 — has imposed enormous, measurable costs on billions of people while delivering privacy protection that is largely theatrical.
First, a quick correction to the popular story
Cookie banners are usually blamed on the GDPR, but the consent requirement actually comes from an older law: the ePrivacy Directive of 2002, amended in 2009 to require opt-in consent before websites store non-essential cookies. What the GDPR did in 2018 was raise the bar for what counts as valid consent — it must be freely given, specific, informed, and unambiguous.[1] That stricter standard is what turned a quiet legal requirement into the wall of pop-ups we know today. So the fair target of criticism is the whole EU consent-banner regime: the ePrivacy rules and the GDPR consent standard working together. That’s the regime this post examines — and the distinction matters, because the EU is now trying to reform exactly this combination.

Twenty-three years from the first EU cookie rule to the EU’s own second thoughts. The lock that doesn’t lock
The entire premise of a consent banner is a bargain: you make a choice, and websites respect it. If that bargain fails, every banner on the internet is friction without function. And the research says the bargain fails — comprehensively.
The mechanism is browser fingerprinting. Your browser constantly reveals small technical details — screen resolution, installed fonts, time zone, graphics hardware quirks. Combined, these form a “fingerprint” that is unique for the large majority of devices, allowing a website to recognize and follow you without storing a single cookie. No cookie means the cookie-consent machinery never even gets involved.
This isn’t theoretical. A peer-reviewed study presented at The Web Conference examined how websites behave around their own consent banners, and the results are devastating for the consent model:[3]
- 73.5% of websites that fingerprint do so regardless of what you click. Accept, reject, ignore — the tracking is identical.
- 279 sites in the study fingerprinted visitors before they touched the banner at all.
- And here is the finding that should end the debate: more sites (285) fingerprinted users after they clicked “Reject All” than before they clicked anything. The researchers concluded that fingerprinting functions as a fallback: when the law successfully blocks the cookie, sites switch to the tracking method the banner can’t touch.

Rejecting tracking can trigger more covert tracking. Data from Papadogiannakis et al., The Web Conference 2021.[3] Read that again: clicking the privacy-protecting button can make you more tracked, not less. The lock on the front door doesn’t lock — and jiggling it tells the burglar you’re worth following through the window.
The follow-up research is just as bleak. A 2025 study by researchers at Johns Hopkins and Texas A&M, presented at the ACM Web Conference, provided the first definitive evidence that fingerprints are used for real cross-site tracking — and found that even users who explicitly opt out under the GDPR and California’s CCPA may still be tracked.[4] An earlier large-scale crawl found that as many as 68.8% of the top 10,000 websites show signs of fingerprinting activity.[5] The consent regime regulates the one tracking technology that politely announces itself, while the silent alternative operates at scale, untouched.
The banners don’t even follow their own law
It gets worse. Even judged purely on its own terms, the regime fails. Multiple studies have found that 80–90% of cookie banners violate the GDPR’s requirements — no working “Reject All” button, dark patterns that make refusing harder than accepting, pre-ticked boxes, and consent extracted under conditions that are anything but free.[1] Faced with this daily obstacle course, users have rationally given up: research finds people click “Accept All” around 90% of the time without reading anything,[6] 76% find the pop-ups irritating, and 68% simply don’t want to deal with them at all.[7]

The consent regime, graded against its own rulebook.[1] This is the definition of a failed policy: a rule that nearly everyone violates, that nearly everyone resents, that conditions the public to reflexively click “yes” to surveillance — and that doesn’t stop the surveillance anyway.
The bill, itemized
So the benefit side of the ledger is approximately zero. What’s on the cost side? Three things, in sharply descending order of magnitude.
1. Human time: the headline cost
The numbers from the opening bear repeating, because they are the heart of the case. Legiscope’s analysis works from simple, checkable inputs: roughly 404 million EU internet users, visiting about 100 sites a month, with about 85% of sites showing a banner, at roughly five seconds per interaction. The product is 575 million hours per year — the equivalent of 275,000 full-time jobs spent doing nothing but dismissing pop-ups, valued at about €14.4 billion annually at average European wages.[1],[2]
And that is the EU-only floor. Because websites over-comply globally rather than build separate versions per jurisdiction, banners now confront users far beyond Europe. If the rest of the world’s internet users encounter banners at even a fraction of the EU rate, the global figure plausibly runs to billions of hours every year.
2. Money: an industry built on friction
A banner is the visible tip of a software stack. Behind it sits a “consent management platform” (CMP) — software whose only job is to display banners, record choices, and block or fire trackers accordingly. An entire industry now exists to sell this. Market analysts size the global consent-management market between roughly $1 billion and $3.5 billion per year depending on definitions,[9],[10] and the largest vendor, OneTrust, alone generates an estimated $1.2 billion in annual revenue.[11] For small businesses, compliance costs can exceed €10,000 a year once legal review and implementation are counted.[6] None of this spending makes a product better, a page faster, or a user safer. It is pure regulatory overhead — a multi-billion-euro tax on the act of having a website.
3. Energy and data: real, but honestly small
Every banner is also code: scripts that must be downloaded, executed, and answered on every page load. A French web-performance audit of eleven major CMPs found they transfer up to tens of kilobytes per page load before the user touches anything, and measurably degrade Core Web Vitals — the loading and responsiveness metrics that define how fast the web feels.[12],[14]
What does that cost in energy? Here we’ll show our math rather than hide it, because nobody has published a definitive study:
Back-of-envelope, EU only, per year: 412 billion banner interactions × 30–100 KB of consent-related transfer ≈ 12–41 petabytes of traffic. At commonly used network-energy coefficients (which are genuinely contested, with estimates up to 0.066 kWh/GB at the high end[13]), plus the marginal device power burned during 575 million hours of banner-clicking, the total lands in the range of roughly 10–25 GWh and a few thousand tonnes of CO₂ per year — on the order of taking on the low thousands of cars’ worth of emissions and a few million euros of electricity. Treat these as order-of-magnitude estimates only.
We could have inflated this number. We didn’t, because honesty is the point: the energy cost is real but it is a rounding error next to the human cost. The chart below puts all three on one (logarithmic) scale.

Three cost categories, drawn to scale — circle area is proportional to annual cost. The energy dot needs a magnifier. Even Brussels agrees now
Here is the remarkable part: this is no longer a contrarian argument. In November 2025, the European Commission published its Digital Omnibus proposal — a sweeping package to simplify the GDPR and ePrivacy rules. In its own explanatory memorandum, the Commission acknowledges that consent fatigue and the proliferation of cookie banners have become a problem whose regulatory solution is, in its words,
long-overdue
.[8] As one law firm dryly observed, that is a remarkable self-description for a problem created by EU law itself.[8] The Commission has been blunter still about the clicking ritual, admitting:This is not a real choice made by citizens to protect their phones or computers.
[7]The proposed fix — fewer consent triggers, mandatory one-click rejection, and eventually machine-readable preference signals set once in your browser and honored everywhere — is a tacit admission that two decades of per-site banners failed.[8],[15] Whether the reform survives the legislative process intact, and whether it actually ends banner fatigue, remains genuinely uncertain; legal analysts are skeptical.[8] But the verdict on the existing regime has been delivered by its own author.
What would have worked instead
The tragedy is that the better design was always available. A browser-level signal — set your preference once, have every site legally bound to respect it — eliminates the per-site banner entirely while expressing a more genuine choice than 412 billion reflexive clicks ever could. The United States’ Global Privacy Control works on exactly this principle, and the Digital Omnibus now points the same direction.[15] Pair that with enforcement aimed at covert tracking — fingerprinting — rather than at the one technology that politely asks first, and you get more actual privacy for a tiny fraction of the cost.
To be fair to the other side: privacy advocates argue that the consent regime, however clumsy, at least forced data collection into the open, and they warn that loosening it could legitimize even more tracking — one advocacy group memorably called the focus on cookies
rearranging deckchairs on the Titanic
, the Titanic being surveillance advertising itself.[6] That’s a serious concern, and any reform should be judged on whether it actually constrains fingerprinting and surveillance advertising rather than merely hiding them. But it is not a defense of the banners. On the banners, the evidence is in.The verdict
Judge the EU consent-banner regime as you would any policy: by its costs and its results. The costs are 575 million hours of European life per year, €14.4 billion in lost productivity, a multi-billion-euro compliance industry, and a measurably slower, heavier web. The results are banners that 80–90% of sites implement illegally, that 90% of users click through blindly, and that do nothing to stop the fingerprint-based tracking happening underneath — tracking that can actually intensify when you click “Reject.”
Thirteen thousand clicks per second. For nothing. It is one of the largest small-scale wastes of human attention ever legislated into existence — and the first step to fixing it is saying so plainly.
Methodology note
The headline time figures come from Legiscope’s published methodology (404M EU users × ~1,020 banners/year × ~5 seconds), which we treat as a reasonable central estimate rather than gospel; halving the per-banner time still yields hundreds of millions of hours. The energy estimate is our own and is presented as an order-of-magnitude range; we deliberately rank it as the smallest cost category. Market-size figures for consent software vary widely between analysts and are presented as a range. The fingerprinting findings are from peer-reviewed studies linked below. We have avoided counting GDPR’s broader compliance costs (data audits, DPOs, legal fees), which are real but not attributable to banners specifically.
Sources
- Legiscope, Cookie banners: 575 million hours — the hidden productivity drain (2024). legiscope.com
- AnythingCounter, How many cookie consent banners are clicked every day? — methodology recap of the Legiscope figures (13,054 clicks/second; €14.4B). anythingcounter.com
- E. Papadogiannakis, P. Papadopoulos, N. Kourtellis, E. P. Markatos, User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users, Proceedings of The Web Conference (WWW) 2021. arxiv.org/abs/2102.08779
- Johns Hopkins University, Websites are tracking you via browser fingerprinting — coverage of the FPTrace study presented at the ACM Web Conference 2025. cs.jhu.edu
- N. M. Al-Fannah, W. Li, C. J. Mitchell, Beyond Cookie Monster Amnesia: Real World Persistent Online Tracking (2019). arxiv.org/abs/1905.09581
- Captain Compliance, The EU’s Cookie Consent Saga (2025) — accept-all rates, SME compliance costs, and the EDRi position. captaincompliance.com
- Chamber of Progress, EU’s Cure for Cookie Fatigue (2026) — user-irritation survey figures and the Commission’s “not a real choice” statement. progresschamber.org
- Osborne Clarke, Digital Omnibus reshapes EU cookie rules but leaves banner fatigue largely intact (Dec 2025) — analysis of the Commission’s explanatory memorandum. osborneclarke.com
- Mordor Intelligence, Consent Management Market (~$1.07B in 2026). mordorintelligence.com
- Market Research Future, Consent Management Market (~$3.52B in 2024). marketresearchfuture.com
- Spherical Insights, Top 20 Companies in the Consent Management Market (OneTrust revenue estimate). sphericalinsights.com
- Agence Web Performance, CMP / Cookie Banner and web performance: comparison of 11 tools (2023). agencewebperformance.fr
- Greenly, What is the Carbon Footprint of Data Storage? — energy-per-gigabyte coefficients (note these are contested and likely upper-bound). greenly.earth
- DebugBear, Cookie Consent Banners, Page Speed, and Core Web Vitals (2025). debugbear.com
- iubenda, The European Commission’s proposal for new cookie rules (2026) — overview of browser-level preference signals in the Digital Omnibus. iubenda.com
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Apple AI & the EU
From John Gruber:
There’s a lot to unpack here, including more background information — and on-the-record statements — from a briefing Apple held Tuesday that I was invited to at Apple Park. But the bottom line is that Apple’s public statements regarding the DMA and the European Commission have never been this strident before. In its public statements, Apple has always been diplomatic. That’s the word.
Now, they’re a bit more on war footing. There’s a massive gulf between what Apple is willing to do with Siri AI in the EU and what the Commission is demanding from Apple for DMA compliance. As things stand there’s no middle ground. Apple’s offers for compromise have been rejected. Unless one side changes its mind and concedes its current position, Siri AI will never come to the EU, and what Apple is saying here is that they’re unwilling to create the open-access-to-user-data system that the EC is demanding.
Say what you will about policies from the Trump administration, but their willingness to go to bat for American companies in Europe and elsewhere seems like a good thing. I can’t imagine Apple taking a similar posture during Biden’s time in office.
I just can’t put into words the mess the EU has made of the internet with its cookie consent policies and overall the GDPR regulations. I’m not sure anyone actually believes the world has a more secure or more private internet today as a result of EU policymaking. Perhaps I’ll get Anthropic’s Fable to help me visualize the sheer number of electrons consumed and time spent as people across the world click “deny” or “accept” to those dreaded popups.
The EU, unsurprisingly blames Apple. This from spokesperson Thomas Regnier on LinkedIn of all places:
What is the true story behind Apple’s decision not to roll out “Siri AI” in the EU?
This decision is Apple’s and Apple’s only.
Because absolutely nothing in the DMA prohibits Apple from rolling out new features in the EU.
Yes, the European Commission and Apple had a few contacts on “Siri AI”.
But instead of offering a compliant solution, Apple asked to be exempted from its interoperability obligations under the DMA – and this for 18 months.
That’s not an option. EU rules are non negotiable.
And it would mean that no AI agent other than “Siri AI” could be chosen by EU consumers.
Apple, like any other gatekeeper, cannot close the market. The DMA is very clear about that.
Our developers have the right to compete. And our consumers the right to choose.
Those who want to keep using Apple products in their current form can of course do it.
But for those who want to use another AI agent, the DMA will give them the possibility to do so.
Update June 15: A group in the EU created a petition to bring Siri AI to the EU. 10k signatures so far. They’re aiming for 100k.
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AI Compute Arms Race and Governance Battles (Links) – Jun. 11, 2026
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Simon Willison: OpenAI Help: Lockdown Mode (Jun. 5, 2026)
OpenAI launched Lockdown Mode, rolling it out to eligible Free, Plus, and Pro personal accounts, and self-serve business accounts, which limits outbound network requests to prevent data theft. -
Kotaku: Leak Reveals Microsoft Wants Its AI To Be 'Addictive' (Jun. 5, 2026)
Microsoft unveiled Scout, a persistent AI assistant, while a leaked memo urged making users “addicted,” and Satya Nadella denied the claim. -
CNBC: Google to pay SpaceX $920 million a month for compute capacity at xAI data centers (Jun. 5, 2026)
Days before its IPO, SpaceX struck a deal with Google to supply 110,000 GPUs and other compute for $920 million a month through June 2029. It monetizes SpaceX’s data centers, follows an Anthropic deal, and boosts its AI infrastructure push. -
WSJ: Phoenix Is a Data-Center Mecca—and Test Case for How to Pay for AI’s Power Needs (Jun. 4, 2026)
Arizona’s windowless data centers boost power demand, and APS seeks 45% hikes for big users, 14.5% for households. -
NY Times: From Cow-Milking Robots to Weed-Zapping Lasers, Farmers Are Embracing A.I. (Jun. 5, 2026)
From robotic milkers to laser weeders, farmers are adopting A.I. to automate milking, feeding, and field tasks. The technology eases labor shortages, alters daily routines, and reshapes farm work. -
WSJ: Anthropic Urges Global Pause in AI Development, Flags ‘Self-Improvement’ Risk (Jun. 4, 2026)
Anthropic urged top AI labs to slow development, citing rapid advances that could let AI systems improve themselves and pose major risks. It proposed a global agreement and verification mechanisms. -
WSJ Opinion: We’re Preparing for the Wrong AI Labor Crisis (Jun. 5, 2026)
AI is compressing entry-level white-collar tasks, cutting internships and junior roles, but not causing mass unemployment. The real challenge is redesigning how workers gain skills, training, and judgment. -
WSJ Opinion: The Road to AI State Socialism (Jun. 5, 2026)
A plan for the government to take large stakes in AI firms, including a one-time 50% equity grab, invites corruption and legal seizure. -
Reuters: US says it will speed development and use of AI for national security (Jun. 5, 2026)
The White House will speed AI use for national security, pushing vendor diversity, model testing, and new rules for autonomous weapons. -
Transformer: The best AI bill yet may not get far (Jun. 5, 2026)
President Trump signed an executive order for a voluntary frontier AI review framework, as officials discussed government equity stakes in AI firms. The Great American AI Act mandates third-party audits, risks preempting state laws. -
WSJ: U.S. Officials Discuss Taking Financial Stakes in AI Industry (Jun. 4, 2026)
Officials discussed taking equity stakes in AI firms after Sam Altman proposed it, to share gains, signal approval, and ease anxiety. Critics warn of market volatility. -
Reuters: US House lawmakers release draft bill to prohibit state AI rules (Jun. 4, 2026)
A bipartisan draft bill would bar states from regulating AI model development, while letting states regulate AI use. Tech groups praised it, consumer advocates said it weakens protections. -
NY Times: Wary of U.S., Carney Bets on AI Strategy for Canada (Jun. 4, 2026)
Canada unveiled a national A.I. strategy to build sovereign capacity, fund research, and create a public supercomputer. It promises privacy and consumer protections, 250,000 A.I. jobs, and ties to like-minded countries, while stressing safety, culture, and worker interests. -
NY Times: Refik Anadol’s Dataland: You Feel the A.I. Art, and It Feels You Back (Jun. 5, 2026)
Dataland, Refik Anadol’s new Los Angeles museum, fills vast galleries with immersive A.I.-generated installations that transform data, like butterfly records, into moving light, sound, and imagery. -
WSJ: Not Your Father’s Country Club: Here Come the Private Racetracks (Jun. 8, 2026)
My take: Cars in the future will be like horses today. Only the rich will get to drive them. -
Tyler Cowen: Is work from home bad for your mental health? (Jun. 6, 2026)
Remotable workers spent about one extra hour alone daily, had more solitary days, and socialized less, especially those living alone. Mental distress rose, K-6 scores, depression rates, and antidepressant use increased.
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Simon Willison: OpenAI Help: Lockdown Mode (Jun. 5, 2026)
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Agent-driven AI Adoption Meets Security and Infrastructure (Links) – Jun. 7, 2026
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Anthropic: What we learned mapping a year’s worth of AI-enabled cyber threats (Jun. 3, 2026)
AI is making cyberattackers more dangerous, shifting use from initial access to post-compromise actions like lateral movement, increasing autonomy, and enabling less-skilled actors to perform complex tasks. -
BBC News: Meta scales back plan to track workers' clicks and keystrokes to train AI (Jun. 3, 2026)
Meta scaled back plans to log employees’ keystrokes, mouse clicks, and app habits to train AI, after staff backlash and a petition. Workers can pause collection for 30 minutes, and request exemptions. -
WSJ: America’s Data Center Build-Out Is Falling Way Behind Schedule (Jun. 2, 2026)
Tech giants are spending huge sums to build AI data centers, but supply-chain, permitting, and power bottlenecks are delaying projects. -
Computerworld: Microsoft unveils Scout, an autonomous AI agent built on OpenClaw (Jun. 2, 2026)
Microsoft Scout is an always-on AI agent for Microsoft 365, operating across Teams, Outlook, OneDrive, and SharePoint. It acts autonomously, automates routine tasks, and flags stalled decisions. -
GitHub: GitHub Copilot app (Jun. 2, 2026)
A new GitHub Copilot desktop app technical preview offers agent-driven development, built natively on GitHub. It supports the full dev lifecycle, parallel agent sessions, automation with custom skills. -
TechCrunch: Anthropic scales Claude Mythos to critical infrastructure in 15+ countries (Jun. 2, 2026)
Anthropic is expanding Project Glasswing to about 150 organizations in 15+ countries, extending Claude Mythos access to critical power, water, healthcare, communications, and hardware teams. -
Google for Developers: Introducing Search Generative AI performance reports in Search Console (Jun. 1, 2026)
Search Console launched new generative AI performance reports, with dedicated views for Search and Discover, showing impressions, pages, countries, devices, and date breakdowns. -
Anthropic: Introducing the Services Track and Partner Hub of the Claude Partner Network
Anthropic launched the Claude Partner Network, certifying thousands and helping firms deploy Claude. -
Moz: 5 Takeaways from Google’s GEO Guidelines (Jun. 2, 2026)
Google says traditional SEO still matters for generative AI, but search now uses query fan-outs that combine related queries into single results. Focus on helpful, unique content, avoid obsessing over structured data, and watch for agentic, assistant-driven search. -
WSJ: Trump and AI (Jun. 2, 2026)
Trump’s executive order asks AI companies for government access to models 30 days before release, instead of up to 90 days previously. Critics say this could hinder innovation, weaken U.S. tech leadership, and harm an AI export boom. -
Politico: Trump finds an AI policy he can live with (Jun. 2, 2026)
The executive order creates a classified benchmarking process, directs the NSA and agencies to harden networks in 30 days, and preserves voluntary AI reviews, not mandatory licensing. -
The White House: Promoting Advanced Artificial Intelligence Innovation and Security (Jun. 2, 2026)
The order directs agencies to boost AI innovation, harden cyber defenses, and protect critical systems by creating an AI vulnerability clearinghouse and a voluntary, secure pre-release process for “frontier” models. -
Dean W. Ball: Financially Dependent on AI? (Jun. 1, 2026)
If the US relies on a thriving AI industry to fund redistribution, that dependence could make an AI pause or ban politically impossible, even if misalignment is real and hard to detect. -
Simon Willison: Uber Caps Usage of AI Tools Like Claude Code to Manage Costs (Jun. 3, 2026)
Uber limits employees to $1,500 monthly per AI coding tool, applying to agentic tools like Cursor, Claude Code, and similar. That implies about $36,000 annually for two tools, roughly 11% of the median Uber software engineer compensation.
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Anthropic: What we learned mapping a year’s worth of AI-enabled cyber threats (Jun. 3, 2026)
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AI Platform Race Meets Safety and Regulation (Links) – Jun. 6, 2026
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Ben Thompson: An Interview with Microsoft CEO Satya Nadella About Finding Core Competencies (Jun. 4, 2026)
Satya Nadella discusses Microsoft’s push to be a trusted AI platform, building its own MAI models, preserving model lineage, and using OpenAI IP, while enabling customers to hill-climb with multi-tenant learning systems. -
WSJ: Mark Zuckerberg Wants Meta’s New AI Agents to Run Your Whole Business (Jun. 3, 2026)
Meta launched an AI agent for businesses on WhatsApp, Instagram, and Messenger to answer questions, book appointments, and close sales. It will shift from free to paid tiers. -
WSJ: Meta Keeps Delaying the Release of Its New AI Model to Developers (Jun. 3, 2026)
Meta repeatedly delayed the Muse Spark API, leaving developers without access to its closed AI model, with no launch date. These pauses cloud monetization of massive AI spending, as Meta tests partners, trials subscriptions, and pursues cloud services. -
The Atlantic: No, Artificial Intelligence Is Not Conscious (Jun. 3, 2026)
Anthropic treats Claude as possibly conscious, but fluency, humanlikeness, and persuasive answers do not prove consciousness, and LLMs are producing fictional characters, not moral agents. -
WSJ: Alphabet’s $80 Billion AI Fundraising Push Shows the Value of Being a Public Company (Jun. 2, 2026)
Alphabet’s $80 billion stock sale shows Big Tech’s edge raising cash for AI, matching SpaceX’s expected IPO haul. -
WSJ: China’s Chip Ambitions Run Into a Global Tech Wall (Jun. 2, 2026)
Huawei’s engineering is credible, but the technique isn’t new — TSMC, Intel, Samsung and AMD are also pursuing stacking, typically on chips made with EUV lithography. “U.S.-led export controls have barred their sale to China since 2019.” -
TNW: GoPro warned it may not survive (Jun. 1, 2026)
GoPro warned it may not be a going concern after memory prices rose 80–115%, causing a 26% revenue drop and loan covenant breaches. -
NY Times: The Small-Business Owners Managing Whole Armies of A.I. Employees (Jun. 4, 2026)
Small-businesses use OpenClaw “lobster” A.I. agents to automate emails, finances, legal work, and customer tasks, boosting productivity. -
WSJ: How AI Could Improve Economic Policymaking (Jun. 2, 2026)
AI will make economic policymaking, especially for central banks, more accurate by supplying real-time data, richer models, and faster analysis. -
WSJ: Top AI CEOs Call for Law Protecting Against Biological Weapons (Jun. 3, 2026)
Top AI CEOs, including Sam Altman, Dario Amodei, and Demis Hassabis, urged Congress to require suppliers to screen DNA and RNA orders. They warn AI could ease making pathogens, critics say screening may be subjective, costly for startups. -
NY Times: Scientists Find Way to Supercharge Dangerous Computer ‘Worms’ With A.I. (Jun. 2, 2026)
Researchers at the University of Toronto built a prototype A.I.-driven worm that tailors exploits, spreads across a test network, and targets known software flaws. -
Stanford Law School: AI Outperforms Law Professors in Stanford Law Study – SLS News and Announcements (Jun. 1, 2026)
In a blind study, law professors preferred AI-generated contract-law answers over peers’ responses, with AI winning 75% of 3,000 comparisons. They flagged AI as misleading or harmful far less often. -
NY Times: Trump Is Finally Facing Reality on A.I. (Jun. 4, 2026)
The government shifted from hands-off to limited AI review. It set a 30-day review, a cybersecurity clearinghouse, and help for small groups. Models can find unknown software flaws usable by defenders or attackers, so Congress should require durable safety rules. -
Transformer: Trump’s AI executive order was inevitable (Jun. 3, 2026)
Trump signed an executive order creating voluntary pre-deployment tests for frontier AI, targeting catastrophic cyber risks, granting the government up to 30 days exclusive access, and pressuring firms to comply. -
Bernie Sanders: The Public Should Own Half of the Big A.I. Companies (Jun. 1, 2026)
AI will transform life, and it rests on humanity’s collective knowledge. A proposed American AI Sovereign Wealth Fund would take a one-time 50% stock levy to give the public ownership, board votes, and dividends for health care and education.
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Ben Thompson: An Interview with Microsoft CEO Satya Nadella About Finding Core Competencies (Jun. 4, 2026)
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On Hantavirus Quarantines
An American exposed to the deadly hantavirus while on a cruise from Argentina said on Monday that she was not being allowed to leave a federal quarantine unit in Nebraska.
Sounds bad, right, except for the part that this mutation of the virus is apparently spread human-to-human, an unhelpful little detail.
U.S. officials had earlier suggested that those affected may be able to quarantine at home. From the same article:
“At some point, they may be able leave their medical centers to continue quarantines at home, depending on how they are doing,” Capt. Brendan Jackson, a C.D.C. official, said in a news conference last week after the passengers arrived in Omaha and Atlanta.
But this passenger, Angela Perryman, wanted to isolate not at her home but at an Airbnb in Florida:
Ms. Perryman is a U.S. citizen who currently lives in Ecuador, she said. She has a home in South Florida, where she was trying to leave to isolate at an Airbnb. Ms. Perryman said she had been told that the government would provide transportation, so that she wouldn’t expose people on a commercial flight.
This seems nuts to me. She has a “home in South Florida” but will stay at an Airbnb. Can you imagine the owners of the house? What, someone with hantavirus is staying at our place!? Heck, no!
I was sympathetic to her argument until reading that line, since no part of an staying at an Airbnb equates to home, however nice some of the places are.
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Monday Links: Apr. 27, 2026
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Simon Willison: GPT-5.5 prompting guide (Apr. 25, 2026)
OpenAI released a GPT-5.5 prompting guide with tips to show brief user-visible updates before long tool calls, and a Codex migration command. -
WSJ: Google Expands Anthropic Investment With $40 Billion Commitment (Apr. 24, 2026)
Google will invest $10 billion in Anthropic, with up to $30 billion more if milestones are met, joining Amazon, Broadcom, and others. -
9to5Google: Google's rebrands ProducerAI music editor to 'Google Flow Music' (Apr. 20, 2026)
ProducerAI has been renamed Google Flow Music and gains remix features that use contextual prompts to replace, extend, and vary song sections. -
WSJ: Is AI Smarter Than Humans? It’s Complicated (Apr. 24, 2026)
An experiment found large AI models outperformed solo humans, but the best results came from human-AI teams that critically challenged each other. -
WSJ: OpenAI CEO Apologizes for Not Flagging Mass Shooting Suspect to Police (Apr. 24, 2026)
Sam Altman apologized to Tumbler Ridge for OpenAI not alerting police about a flagged ChatGPT account tied to accused shooter Jesse Van Rootselaar. -
Clear-Eyed AI: AI safety warnings are not marketing hype (Apr. 24, 2026)
Anthropic kept Mythos off the market because it can find, exploit, and fix thousands of serious cybersecurity flaws, giving select defenders $100M in credits to address them. -
WSJ: Trump White House Pressures Republican States to Kill or Neuter AI Bills (Apr. 24, 2026)
The White House has lobbied GOP-led states to abandon or delay AI bills, saying a patchwork of rules would hurt U.S. competitiveness.
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Simon Willison: GPT-5.5 prompting guide (Apr. 25, 2026)
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Compute Concentration and AI Economic Disruption (Links) – Apr. 20, 2026
AI’s compute-driven transformation: rising capital/GPU concentration boosts productivity but prompts cost‑rationing, automation, and layoffs, favoring cloud–local hybrids. Policy and geopolitics: national strategies, faltering export controls, and contested land/regulatory trade‑offs require coordinated industrial, labor, and regulatory responses.
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Ben Thompson: Mythos, Muse, and the Opportunity Cost of Compute (Apr. 13, 2026)
Frontier reasoning models are ending Aggregation Theory, reintroducing marginal and opportunity costs, and making hyperscalers more compute- and capital-intensive. Firms must ration GPUs, prioritize higher-margin internal workloads, and limit access to models like Anthropic’s Mythos for security and pricing power. -
WSJ: The Economy Is Growing, Jobs Aren’t. Why That Might Be OK. (Apr. 13, 2026)
Economists see AI and pandemic-era reshuffling as likely contributors to the productivity pickup, but caution gains may take time and require firms to invest in complementary changes. -
Medium: I ran Gemma 4 as a local model in Codex CLI (Apr. 12, 2026)
Gemma 4 ran locally in Codex CLI on Mac and Dell, required tweaks, and produced working code. Cloud GPT-5.4 gave best quality, fewest retries, and fastest results, so hybrid local-for-privacy, cloud-for-complex is advised. -
Mistral AI: European AI: a playbook to own it (Apr. 6, 2026)
Europe has top academia, a human-centric approach, and a single market of 450+ million. The playbook lists steps: talent visas, market harmonization, streamlined rules, compliance portals to make Europe a self-reliant AI powerhouse. -
arxiv.org: The AI Layoff Trap (Mar. 21, 2026)
Competition drives firms into an automation arms race: each keeps cost savings, shifts lost demand onto rivals, and causes excessive layoffs that reduce welfare for workers, owners, and firms. -
NY Times Opinion: I Went to China to See Their Progress on A.I. We Can’t Beat Them. (Apr. 13, 2026)
U.S. chip export controls have failed to stop China from building powerful AI, because China rents overseas compute, stacks weaker chips, and copies models. -
NY Times: At a World War II Internment Camp, History Blows Away Wind Energy (Apr. 12, 2026)
Descendants of Minidoka internees, ranchers, tribes, environmentalists, and conservatives blocked the Lava Ridge wind farm, and President Trump canceled it after pausing wind approvals. The dispute highlights conflicts between historic preservation, clean energy demand for AI, and federal public-land rules.
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Ben Thompson: Mythos, Muse, and the Opportunity Cost of Compute (Apr. 13, 2026)