The Number That Should Make Every ML Engineer Uncomfortable Anthropic just released internal performance data on Claude Mythos Preview, and I’ve been sitting with it for a few hours now. Not because it’s surprising, exactly. More because the specific numbers make something abstract feel very concrete, very fast. Let me walk through what they published….
Anthropic Just Filed an S-1. The Safety Lab Is Becoming a Public Company. There is a version of this news that gets treated as a straightforward business milestone. Anthropic filed a confidential S-1 with the SEC. They raised $65 billion in a Series H at a $965 billion post-money valuation. Run-rate revenue crossed $4.7 billion….
Anthropic Just Crossed $4.7B in Run-Rate Revenue. The Market Believes It. There are valuations that make you squint, and then there is whatever Anthropic just did. A $65 billion Series H round, led by Altimeter, Dragoneer, Greenoaks, and Sequoia, at a $965 billion post-money valuation. That puts Anthropic within breathing distance of a trillion dollars…
AGI Apparently Already Happened and Most People Missed It Marc Andreessen sat down with Joe Rogan for over three hours last week and said something I keep turning over in my head. His claim: AGI crossed a meaningful threshold about three months ago, with GPT-5.5, Claude 4.6, Gemini 3, and Grok 4.3. And the reason…
Anthropic and Open Source: Reading Between the Lines on a Very Big Rumor Something is shifting at Anthropic, and the AI community is paying attention. A short video clip circulating on X shows Dario Amodei apparently reacting to a post about open-source AI winning. The original tweet from Ahmad (@TheAhmadOsman) reads simply: “Contrary to the…
Anthropic Just Released a Free Prompting Workshop. Pay Attention. Most prompting advice you find online was written by people who poked at a model until something worked, then published it. Some of that advice is genuinely useful. A lot of it is pattern-matching dressed up as insight. When Anthropic’s own team releases a 24-minute workshop…
The Politeness Problem: When Self-Driving Cars Are Too Correct Something quietly embarrassing happened at a San Francisco intersection recently, and I think it exposes a flaw in how the entire autonomous vehicle industry thinks about the problem it’s solving. Several robotaxis arrived at the same intersection and got stuck. Not because of sensor failures. Not…
The Black Box Problem: Why LLM Internals Should Change How You Build Most engineers treating LLMs like black boxes are building on sand. That sounds harsh, but I’ve watched it happen enough times to say it plainly. The system works, demos great, ships to production, and then fails in ways that feel random but absolutely…
Cybercab Is in Production. Here’s Why That’s an AI Story, Not a Car Story. Elon posted it Friday morning. No press release, no event, no staged reveal. Just a short video and four words: “Cybercab has started production.” That’s it. After years of concept renders and prototype teases, the thing is actually being built. I’ve…
Context Windows Are Not Scratch Pads Most engineers I talk to treat a 200K token context window like a gift. More space means more context, more context means better results, better results mean ship it. That logic feels intuitive. It is also how you end up with a production agent that confidently contradicts its own…
