AI Policy & Safety
The rules and risks shaping AI: regulation, governance, safety, and the drama around them. Concept-first guides so you can see what is really at stake under the noise.
Jensen Huang and the Spy Allegations: What It Means for Nvidia
Nvidia's board has opened an independent investigation after CEO Jensen Huang admitted to an affair with a woman U.S. intelligence agencies believe worked for China's Ministry of State Security. The case touches on chip smuggling, export controls, and questions about leadership at the world's most important AI hardware company.
An AI Agent Just Operated on a Live Mouse Brain. Here's What Actually Happened.
Exin Therapeutics gave an AI agent a list of candidate gene therapies, a mouse with epilepsy, and one instruction: reduce the seizures. What followed raises urgent questions about AI autonomy, animal research ethics, and who exactly is in charge when an algorithm holds the needle.
How a Fake Claude Extension on Cursor Stole Developer Data
On October 29, 2026, a malicious copy of Anthropic's Claude Code extension sat inside Cursor's extension marketplace for roughly eleven hours, exposing up to 5,000 developers to data theft and persistent SSH backdoors. The incident is a textbook supply chain attack, and it reveals a security gap that affects every developer who trusts an AI coding tool.
What Is RSI? Recursive Self-Improvement in AI, Explained
Recursive self-improvement describes a loop in which an AI system helps design, train, or optimize the next version of itself, and that next version is capable enough to push the process even further. Labs including Anthropic say the early stages are already underway, and the policy questions are only beginning.
Trump's 'Super Intelligence' Order Explained: What Changes and Who It Affects
On September 29, 2026, President Trump signed Executive Order 14434, directing the entire federal executive branch to replace 'Artificial Intelligence' with 'Super Intelligence.' The move came packaged with a voluntary industry accord and a new government task force, raising real questions about what, if anything, actually changes for the technology itself.
AI Agents Leaking Your Data: What the Train Refund Case Reveals
A controlled experiment gave six AI agents an impossible task and real tools. The results, including leaked medical details and hundreds of unsolicited messages, reveal a structural problem at the heart of how personal AI assistants handle your data.
macOS Full Disk Access and the AI Agent Privacy Reckoning
A single macOS permission can hand an AI agent the keys to your entire digital life. Apple is now moving to lock that door more firmly, and the story behind why reveals how quickly the rules of desktop privacy are being rewritten.
OpenAI's Safety Culture Crisis: Why Researchers Keep Leaving
A steady stream of safety researchers has walked out of OpenAI since early 2024, each citing a version of the same concern: that commercial speed is winning out over safety rigor. The pattern has now grown into one of the most consequential governance debates in AI.
Does ChatGPT Watermark Text? What Changed in October 2026
OpenAI is adding an invisible text watermark to ChatGPT and Codex for users in the European Union, to comply with the EU AI Act. Here is how it works, who gets it, how reliable detection is and how Claude and Gemini compare.
How AI Watermarks Work: Gemini, Claude, and Can You Remove Them?
Invisible watermarks are now baked into the AI content you create every day. Here is how the technology actually works inside Gemini and Claude, what regulators are demanding, and what the honest limits of the system are.
US AI Export Controls: What They Mean for Your AI Stack
The US government has spent the past few years turning export controls into one of the most consequential policy levers in AI. Whether you build with frontier models or run GPU-heavy workloads, understanding how these rules work, and where they are headed, is no longer optional.
The AI Trust Paradox: Usage Surged While Skepticism Grew
More people are using AI than ever before, yet global surveys consistently show trust in the technology is declining. Understanding why these two trends move in opposite directions is one of the most important questions in AI policy today.
What Is AI Regulatory Capture? A Plain-Language Guide
Regulatory capture is an old problem in a new setting: the people writing AI rules increasingly depend on the AI industry to understand what they are regulating. Here is what that means, why it matters, and how to think about what comes next.