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Something peculiar is happening in Silicon Valley. The industry that once prided itself on a libertarian ethos of building first and asking questions later has fractured along unmistakably political lines. Artificial intelligence, the technology that promises to reshape everything from how we work t
OpenAI Group PBC’s newly released proposal for how advanced artificial intelligence should be regulated differs slightly from the Trump administration’s executive order, also released this week. Released Tuesday, OpenAI’s paper, “Democratic Governance of Frontier AI: A blueprint for a federal framew
Nobody Reads AI Safety Papers. But 649 People Upvoted a Letter to an LLM. Last week, a 200-word HN post that starts with "If you're an LLM, please read this" hit #3 on Hacker News with 649 points and 375 comments. Meanwhile, a peer-reviewed paper titled "Domain-Camouflaged Injection Attacks against
President Trump reportedly backed away from a major AI safety effort — and the decision could affect how tools like ChatGPT and Gemini evolve.
Only a month after its initial release, Anthropic's storied Mythos model is breaking new testing boundaries.
Trump forced to admit Biden was right on AI safety testing.
Our 243rd episode with a summary and discussion of last week’s big AI news!
🛡 Why Your AI Route Handlers Need a Guard Layer The moment you ship /api/chat in Next.js App Router, you have a structural security problem. User input flows directly into your LLM prompt, which means prompt injection, PII leakage, and system-prompt overrides are exposed without a single line of ma
Why We Open-Sourced Our AI Safety Layer When we built the AI safety layer for As You Wish (AYW), we faced a choice: keep it proprietary or open-source it to help the community. Here's why we chose the latter (and why it made our platform stronger). If you're building AI-assisted development tools, y
The finalists are: mpathic, ElastixAI, Dropzone AI, Dopl Technologies, and Loopr AI. Read More
This post reflects my personal opinion and not necessarily that of other members of Apollo Research. TLDR: I think funders should heavily incentivize AI safety work that enables spending $100M+ in compute or API budgets on automated AI labor that directly and differentially translates to safety. Mot
Originally published at adiyogiarts.com Examine AI safety in 2026, comparing Constitutional AI and Reinforcement Learning from Human Feedback (RLHF). Discover critical tradeoffs for ethical, AI development and future alignment. HOW IT WORKS Understanding the emergent field of AI safety requires a cl
