Anthropic Just Published an Operational Manual for the Agent-First Company I’ve read a lot of AI research papers, product announcements, and thought leadership posts over the past few years. Most of them describe a future. Anthropic’s Claude Code best practices document describes a present. That distinction matters more than people are giving it credit for….
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…
LLM Evals Are an Engineering Discipline. Start Treating Them Like One. There’s a moment I’ve seen play out on too many AI teams. The demo works. The vibes are good. Someone says “ship it.” And everything is fine, right up until it isn’t. Users hit edge cases nobody tested. Outputs drift. Trust erodes fast and…
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…
GPT-5.5 and the Death of the Interface Layer OpenAI dropped GPT-5.5 today, and most of the coverage will focus on benchmarks, pricing, and whether it beats Claude on some coding eval. That’s fine. But there’s a sentence in the announcement that I think deserves more attention than it’s going to get. OpenAI’s official description: GPT-5.5…
China Just Bet $8.4 Billion That the Future of AI Compute Is in Orbit Most of the AI compute conversation right now is about H100 allocations, inference costs per token, and who has the largest training cluster. That’s a real fight. But China just signaled that it’s also playing a completely different game, one that…
The Real Skill Gap in AI Engineering (And It’s Not Prompting) Everyone is learning to prompt. Courses, threads, workshops, a 24-minute video from Anthropic’s applied AI team promising to teach you “the 6 elements” you’ve been missing. The tutorials are multiplying faster than anyone can watch them. And I think most of them are solving…
