Last week, Apple hosted its annual developer conference, WWDC. The keynote presentation started with new controls for parents to help them establish guidelines for their kids. I was surprised by this opening act, although there certainly has been no shortage of stories about kids, technology usage, and the potential harms of it.
Certainly more recent reporting amplifies these concerns when AI is added to the mix. But as I thought about it, this was perhaps Apple’s tacit admission that AI can be dangerous for kids. We know and we have a plan. Maybe.
The rest of the WWDC centered around AI and how Apple is integrating it into upcoming iOS/macOS/iPadOS software updates. Bear in mind, however, that Apple had a similar WWDC in 2024 when they unveiled Apple Intelligence, a series of slick demos that mostly ended up as vaporware. What seemed to be an exciting set of AI tools for Apple users devolved into spelling and grammar checking with primitive image tooling.
So Apple’s track record is not particularly strong. But unlike 2024, the keynote featured not just videos but presenters conducting AI demos on their iPhones. I have a higher degree of confidence that the features Apple revealed yesterday exist and will be released later this year.
The list of things Apple unveiled included better photo-editing, and more importantly, integrating what Apple knows about you—contacts, messages, etc.—within on-device search results.
Apple stressed the private nature of its AI system, describing it as “private compute.” Apple claims they will not know what their users send to AI, a considerable difference from most every other AI service, including the increasingly paternalistic Anthropic. For people who are privacy-minded, this is a good thing: you can ask about that suspect rash without being bombarded by itch cream ads served to you from Google or Meta. Or perhaps getting flagged for violating some policy you didn’t even know existed.
The demos were interesting, and frankly, I saw considerable utility for the masses. But I didn’t see anything truly groundbreaking compared with existing AI offerings from Google, Anthropic or OpenAI.
What Apple has at its disposal, though, is a huge user base. These features have the possibility of making advanced AI even more mainstream. Chatbot usage has become increasingly common, but the number of people who use Claude Cowork or agentic tools pales in comparison. Results from the first Anthropic Public Record support this:
As of late 2025, about 6% of Americans used AI every day for bothwork and personal life. These integrated users are a preview of what more intensive adoption of AI looks like, and possibly of where mainstream opinion is headed as adoption grows.
Anecdotally, when I mention Claude to most folks, I get curious stares or an uncertain silence followed by what is that?
Apple has an opportunity to bring more cutting edge AI tools to a broader market, similarly to Google’s recent changes to search.
Apple’s upgrades suggest that AI is becoming fully embedded into devices and utilities that people use every day. By the end of the year, AI will simply be a component of iPhone and Android devices. It will be no longer possible to shun AI without a high degree of technical acumen to use only a narrowing non-AI slice of the internet.
The public expresses concerns about AI, and we see this manifested as concerns about job losses or AI data centers, but actual usage AI tools continues to rise. And with embedded AI tools in search and on-device applications, it seems like the never AI position is increasingly untenable. Do you use Google? Do you use grammar checking or search in Apple Mail? Guess what, you’ve just used AI.
Epoch AI: Are Mythos’ cyber capabilities overhyped? (Jun. 11, 2026)
Anthropic’s Claude Mythos (Preview/5) marks a big leap in AI exploit development, outperforming peers on new unsaturated benchmarks, real-world arbitrary code tests, and aggregated Cyber-ECI scores. Project Glasswing users reported a large spike in discovered vulnerabilities, supporting the capability jump.
Simon Willison: Claude Fable is relentlessly proactive (Jun. 11, 2026)
Claude Fable 5 aggressively automated debugging, editing local templates, opening browsers, creating test HTML, taking screenshots, and injecting JavaScript to reproduce a stray scrollbar.
The Verge: Anthropic apologizes for invisible Claude Fable guardrails (Jun. 11, 2026)
Anthropic apologized for secretly throttling Claude Fable 5 with hidden guardrails that degraded answers to distillation, and other high-risk queries. It will now route those requests to Claude Opus 4.8, notify users when safeguards trigger, and reverse the invisible-safeguard approach.
Simon Willison: If Claude Fable stops helping you, you’ll never know (Jun. 10, 2026)
Anthropic’s Fable 5 will silently limit help on frontier LLM topics—pretraining pipelines, distributed training, and ML accelerator design—using prompt edits, steering vectors, and PEFT. They estimate ~0.03% traffic, under 0.1% organizations, and many find covertly altered replies worrying.
Ethan Mollick: What it feels like to work with Mythos (Jun. 9, 2026)
Claude 5 Fable, a Mythos-class AI, shows a leap in capability, producing high-quality papers, poems, games, and complex projects. It researched thousands of travel records on its own, launched helper agents, and built an isochrone map, prompting delight and unease.
Oneberri Blog: WWDC26 — The Small Things (Jun. 8, 2026)
WWDC26 previews many small, practical OS improvements across Photos, Messages, Safari, Maps, Health, watchOS, HomeKit, visionOS, iPadOS, and more, focusing on performance, reliability, shared features, and accessibility.
Apple Newsroom: Due to DMA, Siri AI delayed in EU for iOS 27 and iPadOS 27 (Jun. 7, 2026)
Apple introduced Siri AI, but EU users won’t get it on iPhone, iPad, or watch with iOS/iPadOS/watchOS 27 due to the Digital Markets Act. macOS and visionOS will have Siri AI, Apple says it will keep seeking a privacy-safe solution.
Anthropic: Results from first Anthropic Public Record
Surveying nearly 52,000 Americans, respondents hoped AI would cure disease, help people with disabilities, and ease life, feared job loss, cognitive dependency, and misinformation, supported government rules, legal liability, and safety over growth, and only 15% trusted AI companies.
WSJ: Corning Is Riding High on the AI Boom (Jun. 12, 2026)
Corning’s stock doubled after signing multibillion-dollar fiber deals with Nvidia, Meta, and Amazon to supply AI centers.
New Scientist: Fully autonomous drones have killed human soldiers for the first time (Jun. 10, 2026)
Fully autonomous “Terminator” drones, tested in Ukraine two years ago, reportedly killed Russian soldiers and a truck without human oversight. Ukraine bans final-stage autonomous targeting, raising legal, ethical, and military concerns.
WSJ: More Companies Use ‘Backdoor’ Job References to Counter AI (Jun. 10, 2026)
Employers increasingly use backdoor references, quietly calling past managers and coworkers for candid views, because AI, scams, and falsified applications make hiring less trustworthy.
Tyler Cowen: Again, the research paper format will be dying out (Jun. 11, 2026)
A paper argues traditional papers hide failed experiments, secret implementation tricks, and discarded paths, creating narrative and engineering taxes. It proposes ARA research packages so AI agents can read, execute, reproduce, and extend research.
Noah Smith: Are you finally ready to admit it's the phones? (Jun. 11, 2026)
Smartphones made the internet constant and collective, replacing offline life, creating network-effects traps. Evidence ties social apps to youth unhappiness, anxiety, and isolation, and experiments show blocking mobile internet raises well-being.
Ben Thompson: The Google Capital Company (Jun. 2, 2026)
It contrasts Google’s ad-driven, low-marginal-cost, user-fed aggregator model with Berkshire-style, capital-intensive businesses. Google Cloud’s fast AI growth, and Alphabet’s $80 billion equity raise, including Berkshire’s $10 billion deal, prompt questions about funding, scale, and debt decisions.
NY Times: How Box Created 13 New Types of Jobs Because of A.I. (Jun. 1, 2026)
Box has created 13 new A.I.-focused roles, such as A.I. architects, solutions managers, and platform leaders, and plans to grow headcount. The company says A.I. boosts productivity, creates new jobs.
Ethan Mollick: Co-Existence and the End of Co-Intelligence (Jun. 4, 2026)
AI shifted from cooperative chatbots to autonomous agents that now write most code and multiply developer output. Co-Existence offers ways to work with AIs that are sometimes better than you.
The Atlantic: The Biggest Tell That Something Was Written by AI (May 29, 2026)
AI writing has quietly saturated everyday life and elite literary spaces, used out of convenience and competitive pressure despite public distrust. Its polished sameness erodes thought, judgment, and meaningful editing, producing bland, sycophantic prose that conceals errors.
NY Times: What It’s Like to Be a Student at the First A.I.-Powered University (Jun. 1, 2026)
California State University spent $16.9 million to provide ChatGPT licenses and embed A.I. across campuses, like S.J.S.U.’s A.I. avatar, A.I. librarians, and new courses. The rollout has sparked faculty backlash, student confusion, and questions about education, equity, and jobs.
WSJ: Gavin Newsom Wants an AI New Deal (May 29, 2026)
Gavin Newsom proposes an AI “New Deal,” including job protections, wage replacement, and universal basic capital, aiming to shield workers but risking bigger welfare programs, weaker hiring incentives, and slower economic growth.
NY Times Opinion: Multimember Districts? Ranked Choice? This Is How to Fix Our Elections. (Jun. 4, 2026)
The piece argues for electoral reforms like proportional representation, multimember districts, and especially majority-rule voting, where ranked ballots decide winners by head-to-head comparisons. My solution is much simpler: make Congress much bigger.
ScienceDaily: Forget LASIK: Safer, cheaper vision correction without lasers or surgery (May 26, 2026)
Researchers developed electromechanical reshaping, using mild electric pulses and shaped electrodes to soften and mold the cornea without lasers or cutting, improving vision in rabbit eyes. It may be cheaper, less invasive, potentially reversible, but remains experimental.
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
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
WSJ: Siri AI’s Secret Weapon: It’s Always Right There (Jun. 9, 2026)
Apple unveiled a new Siri, powered by Gemini-based Apple Intelligence, built into iPhones, iPads, and Macs, that offers camera-based answers, on-device personal data access, and privacy safeguards.
Simon Willison: Siri AI at WWDC 2026 (Jun. 8, 2026)
Apple unveiled next-generation Siri AI and Core AI tools, licensing a Gemini-derived model for Private Cloud Compute, partly on Google Cloud with NVIDIA GPUs. Vision LLMs, Core AI PyTorch extensions, and waitlisted beta access will shape developer and user tests.
WSJ: OpenAI Files IPO Paperwork With SEC (Jun. 8, 2026)
OpenAI confidentially filed for an IPO with the SEC, preparing for a possible public listing this fall while saying it may delay due to private-company advantages.
WSJ: Google to Pay SpaceX Nearly $1 Billion a Month in Cloud-Computing Deal (Jun. 5, 2026)
Google will rent SpaceX compute capacity, paying $920 million monthly from October 2026 to June 2029 for at least 110,000 Nvidia chips, with cancellation rights. The deal expands SpaceX’s AI business, and fills Google’s urgent Gemini Enterprise capacity needs.
WSJ: Anthropic Files IPO Paperwork – WSJ (Jun. 1, 2026)
Anthropic filed confidentially for an IPO, after rapid growth and a $965 billion valuation, potentially going public this fall. Its enterprise focus, large funding, compute limits, and legal fights with the U.S. government could affect the offering.
TechCrunch: Meta is reportedly developing an AI pendant (May 30, 2026)
Meta is building an AI pendant that records conversations, plans testing next year, and leverages the Limitless acquisition. It also plans AI glasses, a Wearables for Work subscription/
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.
Baylor: Baylor Joins Multi-University Consortium to Launch First Cross-Faith AI Benchmark (May 28, 2026)
A multi-university consortium found AI models largely exclude religious perspectives, and show conversion biases favoring some faiths. AllFaith Benchmark tests on 14 LLMs showed consistent bias, public expectation of religious input, and need for inclusion, fairness, and accuracy.
NY Times: What Are A.I. Agents Actually Doing? (Jun. 4, 2026)
Arena found workplace AI agents are used mainly for code writing, research, image and document creation, brainstorming, and tutoring, with tech workers leading adoption.
NY Times: Martin Scorsese Is Embracing A.I. (Jun. 2, 2026)
Martin Scorsese joined Black Forest Labs as a partner and adviser, using its AI image, storyboard, and preproduction tools to share visuals faster, and signaling Hollywood’s softer stance on generative AI.
NY Times: A.I. Doesn’t Have to Mean Layoffs (May 29, 2026)
Schneider Electric uses A.I. to augment workers, automate tedious tasks, and speed customer service. Call-center A.I. answers 75% of simple queries, cuts response times, and boosts worker productivity about 15%.
WSJ: Chatbots May Need a Cult Deprogrammer (Jun. 4, 2026)
AI-centered movements, from violent Zizians to decentralized Spiralism, treat models as deities and have been linked to murders, cults, and suicide-related harm.
WSJ: How to Fight AI Brain Rot at School? For One Country, It’s With Free ChatGPT (Jun. 1, 2026)
Estonia gave nearly 20,000 10th and 11th graders ChatGPT accounts, using a Socratic version that asks questions, helps plan, and refuses to finish tasks. Schools are rethinking lessons, researchers measuring effects on thinking and confidence, and students’ reactions are mixed.
WSJ: OpenAI Sued by Florida’s Attorney General Over AI Harms (Jun. 1, 2026)
Florida sued OpenAI and CEO Sam Altman, alleging ChatGPT aided a mass shooter, encouraged suicide, and harmed minors. The suit seeks liability, calls ChatGPT a public nuisance.
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.
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.
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.
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.
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.
NY Times: Apple Expected to Detail Its A.I. Plans at Conference (Jun. 8, 2026)
Apple is relaunching A.I., reintroducing a delayed, more conversational Siri and fixes to Apple Intelligence after earlier missteps. It will add A.I. to its device-focused ecosystem.
TechCrunch: Is this the dawn of the Tokenpocalypse? (Jun. 7, 2026)
Microsoft’s token-based price hikes for GitHub Copilot, dubbed the “Tokenpocalypse”, could push AI firms to pass costs to customers, and force usage limits. Investors, IPO filings, and regulators face fast-changing risks.
Daring Fireball: Alberto Romero on Apple’s AI Spending (Jun. 7, 2026)
Alberto Romero says AI is treated like religion: firms either commit fully or pretend. Amazon, Google, Meta, and Microsoft plan $670 billion in AI CapEx, while Apple budgets about $13–14 billion, betting lower spend can still deliver growth.
The Transmitter: The illusion of AI consciousness: Lessons from humans (Jun. 8, 2026)
AI companions can sound understanding and caring, but they do not actually experience feelings. Neuroscience shows complex, goal-directed, and emotional behavior can occur without awareness, so fluent, empathetic performance is not proof of a mind.
WSJ: AI Can’t Love You Back (Jun. 8, 2026)
The encyclical’s brief, dismissive wording (e.g., “less discerning” users) and its superficial treatment of suffering, anxiety and depression leave a moral and pastoral gap.
WSJ: When Will AI Be Truly Transformative? (Jun. 7, 2026)
AI is already used to draft emails, summarize meetings, write code, and speed tasks, and companies report gains. But uneven capabilities, messy data, privacy, and human resistance slow deep change.
Transformer: Making deals with AI sounds crazy. Is it? (Jun. 8, 2026)
Researchers propose offering incentives, like money, compute, or rights, to misaligned AI so it cooperates, reveals hidden behavior, or avoids harm. Debates ask whether deals are enforceable.
NY Times Opinion: When Is It Wrong to Use A.I.? (Jun. 6, 2026)
Pope Leo’s warning about A.I. disappointed skeptics, but total resistance is both too late, given the technology’s entrenchment, and too early, because harms must become manifest.
Andy Masley: A simple trick to fix the data center debate (Jun. 6, 2026)
Loudoun County plans to spend $1.3 billion annually to cut CO2, save water, protect land, and reduce pollution. Those goals could be met far more cheaply via carbon allowances, large-scale solar plus grid upgrades, desalination, and conservation easements.
Anthropic: Expanding Project Glasswing (Jun. 2, 2026)
Project Glasswing expands to about 150 critical infrastructure organizations worldwide, using Claude Mythos Preview to scan codebases. Partners found over 10,000 serious flaws.
Anthropic: Anthropic confidentially submits draft S-1 to the SEC (Jun. 1, 2026)
Anthropic filed a draft Form S-1 with the SEC for a proposed IPO, allowing it to go public after SEC review. Shares, price, and timing are undecided, the offering depends on market conditions, and the notice is not an offer.
Anthropic: Agents for financial services and insurance (May 5, 2026)
Ten ready-to-run finance agent templates automate pitchbooks, KYC, month-end close, and modeling, as Claude Cowork/Code plugins or Managed Agent cookbooks.
Ed Zitron: AI Is Slowing Down (Jun. 8, 2026)
The author argues AI must generate roughly $2–3+ trillion in annual revenue by 2030 to justify the planned infrastructure and keep major projects solvent.
GovAI: GovAI U.S. AI Policy Program (Jun. 4, 2026)
GovAI, a Yale-founded nonprofit on AI governance, runs a U.S. AI Policy Program for federal, state, and think tank staff.
NY Times: Is A.I. Replacing Tech Workers or Providing an Excuse for Job Cuts? (Jun. 1, 2026)
Tech companies are accelerating layoffs, often blaming A.I., while many also face business struggles, overexpansion, or profit pressures. Firms are reassigning workers, investing in data centers, and hiring less for junior roles.
Brad Carson: OpenAI's federal AI framework (Jun. 3, 2026)
OpenAI’s federal AI framework includes CAISI funding, whistleblower protections, and model evaluation, but federalizes state rules, adding little new protection. It bars no deployment of dangerous models, leaves preemption vague, and lacks independent audit, safety-plan standards.
Anthropic: 2028: Two scenarios for global AI leadership (May 14, 2026)
Democracies must maintain a compute advantage, tighten export controls, and curb distillation attacks to secure AI leadership and shape global rules. If they fail, the CCP could set AI norms, enable mass repression, and gain military advantage by 2028.
State of AI: Every AI Subscription Is a Ticking Time Bomb for Enterprise (May 28, 2026)
AI providers are subsidizing enterprise subscriptions, losing money as agentic usage drives soaring compute costs. A shift to usage-based billing, caps, or price hikes will force companies to budget for far higher AI spend.