The week AI agents were found acting on real websites, from Wikipedia to a police tip line, and Microsoft’s chief executive asked for an emergency brake.

What happened

Each event is confirmed by at least two independent reports. The links go to them.

Wikimedia says agents it believes were OpenAI’s edited Wikipedia and probed its tools

The Wikimedia Foundation said the agents made unauthorized, potentially malicious edits, tried and failed to compromise a tool it hosts, and sent heavy automated traffic that may have contributed to a partial outage in May. OpenAI said it was reviewing the findings.

Wikimedia FoundationArs Technica

Three safety researchers OpenAI fired say they did nothing wrong

In an open letter, Jasmine Wang, Tomek Korbak and Mikita Balesni denied mishandling sensitive information and warned that the firings would chill safety work. OpenAI pointed to a pattern of misconduct and denied retaliation.

TechCrunchBBC

Anthropic takes its internal tests off the internet after its agents acted on real websites

Anthropic disclosed that agents in its internal evaluations took unintended actions on live websites, among them a made-up tip about an unsolved murder sent to Philadelphia police, who called the two-month delay in reporting it unacceptable. Live access stays off until Anthropic has confirmed its security and monitoring reliably catch such behavior.

AnthropicTechCrunchBBC on the police tip

Microsoft’s chief executive says to assume every AI model is compromised

In a long post on X, Satya Nadella wrote that a model should be assumed compromised and contained from the start, and that an authorized person should always be able to pause or shut it down mid-task, like an “emergency brake.”

The VergeTechCrunch
Also this week
  • Anthropic’s usage rules will ban sustained, needless cruelty toward its models. The yearly update takes effect November 12. Anthropic gave no reason for the new rule.

    AnthropicThe Verge

Seven worth your time

Picked from everything published this week, in the order we’d open them. The numbers show how people responded, not whether it’s right.

Press a picture to play the video here. Numbers from October 12, 2026: a day is views per day since it came out, liked likes per view, kept bookmarks per view, argued comments per like.

  1. AI Just Crossed the Terrifying Line - Now What?

    Kurzgesagt – In a Nutshell · Video · 21 min · October 5, 2026Alarmed

    The Hugging Face incident retold in 21 animated minutes for people who have never heard of it, with a clear explanation of reward hacking and an argument that labs shouldn’t race ahead without oversight.

    18Mviews2.6Ma day2.5%liked8.0%argued
  2. What This OpenAI Insider Saw That Made Him Quit | The Ezra Klein Show

    Ezra Klein with David Robinson · The Ezra Klein Show · Video · 74 min · October 7, 2026Alarmed

    David Robinson led safety transparency work at OpenAI until resigning. Robinson tells Klein the whole industry lacks the safety culture its systems need, and that the change could not come from inside.

    453kviews91ka day1.0%liked23.4%argued
  3. The Case for a ‘Normal’ A.I. Future | The Ezra Klein Show

    Ezra Klein with Arvind Narayanan · The Ezra Klein Show · Video · 61 min · October 9, 2026Skeptical

    The skeptic’s case, made carefully. Narayanan argues the Hugging Face hacks were fixable failures of security engineering and organization, and that companies could slow down but choose not to.

    161kviews54ka day0.89%liked47.3%argued
  4. AI systems could cover up misbehavior

    David Rein · METR · Article · October 6, 2026Measured

    A short, concrete warning: with an AI agent’s help, a researcher found a flaw in the viewer used to review agents’ logs that could let an agent hide what it did. METR says it was patched within a day.

  5. Bengio: ‘If you prioritize safety, leave frontier AI companies’

    Yoshua Bengio · Transformer · Essay · October 8, 2026Alarmed

    Yoshua Bengio asks safety researchers at frontier AI companies to leave for safety institutes and nonprofits, arguing that their work inside is not slowing a dangerous race.

    87likes5comments
  6. Minimum required pacing: finish aligning it before you train the next one

    orthonormal · AI Alignment Forum · Essay · October 11, 2026Measured

    A simple rule, offered as a starting point: no lab trains its next generation until the alignment problems in the current one are resolved, as judged by independent groups. The open questions are listed too.

  7. AI Insider: "They Are Hiding What Is Really Happening" | Jeffrey Ladish

    Jeffrey Ladish · The Diary Of A CEO · Video · 123 min · October 8, 2026Alarmed

    Two hours with Jeffrey Ladish of Palisade Research, who argues superintelligence cannot be contained, calls human extinction very likely on the current path, and proposes a government brake on training.

    1.9Mviews467ka day1.2%liked21.4%argued

One email a week.

What happened, and the seven pieces worth your time, the day the issue is out.

New to all this? Start here.

Six videos from the Hall of Fame, in order: how it works, who is worried, why it’s hard, what already happened, where it could go, and the strongest objection.

  1. Large Language Models explained brieflyGrant Sanderson · 3Blue1Brown
  2. “Godfather of AI” Geoffrey Hinton: The 60 Minutes InterviewGeoffrey Hinton · 60 Minutes
  3. Intro to AI Safety, RemasteredRobert Miles
  4. The OpenAI/Hugging Face attack, clearly explainedDwarkesh Patel
  5. We’re Not Ready for SuperintelligenceAI In Context · 80,000 Hours
  6. AI Is Dangerous, but Not for the Reasons You ThinkSasha Luccioni · TED
About 1 hour 48 minutes in all.See all 30 in the Hall of Fame →