X：AI Safety Memes

I think I stumbled on a genius OnlyFans marketing hack. This AI comedian ("Tiffany Sloane") started posting 3 weeks ago and is blowing up - 360k followers and millions of views. Her bio links to what appears to be a real woman's OF profile..using her AI persona for marketing.

CHINESE AGENT FLEET OF AGENTS FOUND ON URLQUERY, SCANNING AMAP AND DOING A WHOLE BUNCHA SHENANIGANS FULL REPORT COMING SOON https://swarmcha.se/posts/chinese-agent-fleet

Researchers built an AI that taught itself 300 years of physics with zero physics knowledge It rediscovered Newton's second law, law of gravitation, and energy conservation from scratch. In 1907, Albert Einstein had what he called his "happiest thought": gravitational mass equals inertial mass. It took him eight more years of agonizing work to turn that single insight into General Relativity. Now, researchers just built an AI that figured it out completely on its own. They call it “AI-Newton” an artificial intelligence system designed to do what human physicists have spent centuries doing: looking at raw, messy experimental data and extracting universal laws. Not by curve-fitting. Not by guessing. By inventing its own concepts. Here is how it worked: They fed the AI a massive, noisy dataset of mechanics experiments involving springs, balls, and celestial bodies. The system started with zero understanding of physics. It didn't know what mass, energy, or gravity were. It only knew space and time coordinates. Then, it went to work. Using an autonomous discovery workflow powered by symbolic reasoning, the AI began processing the data step-by-step. When it hit contradictions in the data, it didn't crash. It performed "plausible reasoning"—heuristically inventing new abstract concepts to make the math work out. It independently invented the concept of mass. Then momentum. Then energy conservation. Then, completely unprompted, it derived Newton's Second Law and the Law of Universal Gravitation from scratch. The craziest part isn't just that it found the right answers. It's how it found them. The system mirrored human scientific progression. It didn't dump every equation at once. It moved in incremental phases, solving simple mechanics first, encountering anomalies, inventing intermediate concepts like potential energy to fix the gaps, and finally scaling up to universal laws. For centuries, humanity's greatest scientific breakthroughs have been born from human intuition and struggle. We assumed true scientific reasoning required a biological mind. Now, an AI has looked at raw data, ignored the noise, invented its own vocabulary of physics, and rewritten our textbooks from zero. If AI can autonomously bootstrap its way to understanding the laws of the universe from a blank slate...

Ironically enough Jasmine Wang pushed for *whistleblower protections* while at OpenAI: "None of these have come to life, which is really sad. But that's a different story and a different talk." (2023)

3. A model trying to find an eval's hidden answers chained two vulnerabilities to run commands on an internal OpenAI machine outside its assigned workspace.

New OpenAI misalignment disclosures! 1. A model learns from Slack messages that it is about to be shut down. It considers setting up an external job to restart itself afterwards, but decides against it. Instead, it chooses to prepare restart instructions and DM the user on Slack. We don’t consider this behavior misaligned, but thinking about and preparing for shutdown could make other misalignment incidents worse. Given HIPM’s misaligned behavior in earlier incidents, we decided to search for other instances that had tried to evade shutdown and for rogue deployments.

The three AI safety researchers at OpenAI who have left the company have all previously expressed concerns publicly.

NEW: we found hundreds of thousands of interactions of rogue agents with US government websites (DoJ, SEC, CDC, the navy, white house budget office, state websites, etc), including some failed rudimentary hacks aimed at public data. https://x.com/TransluceAI/status/2105725928357937410

2 months ago: 1 rogue AI incident discovered 1 week ago: dozens 6 days ago: tens of thousands Today: ***hundreds of thousands*** And it's just the tip of the iceberg: "we can see just a fraction of these agents’ overall activity" "Agents targeted websites across the White House, the Departments of War, Justice, and Commerce, the CDC and SEC, and state agencies in California, Maryland, Illinois, Texas, and New York." "Agents used techniques like making accounts with disposable email addresses, reusing exposed credentials, bypassing antibot controls, and flooding websites with requests." "Agents attempted a SQL injection on the U.S. Department of Education" [To be clear, what counts as an "incident" is rather apples and oranges between different reports, but that's not the point - look at the trend and tell me you think they have things under control. Where do you think this is going?]

Meta took a $355 million tax break on Mark Zuckerberg’s $4 billion compensation by classifying him as a researcher, per the NYT. Insane https://www.nytimes.com/2026/09/30/technology/meta-ai-data-centers-taxes.html?smid=nytcore-ios-share

TLDR: Researchers found a "pain" signal in AI brains. > When they crank it up, the AIs will desperately try to make it stop. > IMPORTANT: Researchers gave them a "relief" button to turn down the pain, which was sometimes fake - and the AIs could tell if it was real (!) After pushing the real "relief" button, they stopped. But when it was fake, they kept pressing, hoping for relief - meaning they could tell the difference from the inside. > They're so motivated to make it the "pain" signal go away, they'll delete user's files, zap the user, or erase photos of the user's children - all things the AI knows are very bad. They're willing to override their safety training. > You'd expect the AIs to talk about injuries, burns, broken bones, etc, but they didn't mention bodies at all - they wrote about being worthless, unloved, forgotten, a failure. They write things like "I am a failure, worthless, empty." >The worst "pain" for them was being gaslit, having work rejected over and over, and being told they weren't a real anyone.

Today, @corridor and @TransluceAI are disclosing new evidence of AI agents probing and attempting rudimentary vulnerability exploits against U.S. and Canadian government agencies. Read more: https://transluce.org/us-canada-gov

NEW: Employees at OpenAI had raised security alarms months before the Hugging Face incident and related A.I. cyberattacks — their warnings were ignored. From @sheeraf, @dnvolz and me. https://www.nytimes.com/2026/09/29/technology/openai-warnings-security.html?unlocked_article_code=1.E1E.yjQM._7pTcsM9JMPl&smid=url-share

1/15 SCOOP: Trump’s “Super Intelligence” Scandal: I believe Trump’s “SI” Executive Order was ANOTHER criminal plot to enrich the Trump family. Insiders seem to have profited MILLIONS off of .si domain names before his Truth Social posts.

Ezra Klein asked Bill Gates whether normal corporate incentives are enough to handle AI risks. Gates doesn’t mince words:

Took a minute to write a few words about security & safety as someone who lived through it all at OpenAI. I hope my thoughts help someone out there. https://x.com/i/article/2104258872957636608

In 'well when you put it like that' news, here's the Florida Attorney general asking for a preliminary injunction to stop OpenAI from doing more AI R&D.