AI safety, Econ, new liberalism, math, and a bit of art history (as a treat)
Member of Technical Staff @METR_Evals. Previously on Walmart’s economics team.
Gemini 4 Argon (high) scores 20.2% on WeirdML, between Sonnet 5.5 and Fable 5.1.
A strong performance, but still behind the frontier, especially on token efficiency.
🚀 DeepSeek-V4.1-Flash-1017 is here!
Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.
🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy,
I've spent a bit more time with Nick's work. I feel cautiously optimistic about these results, but I don't want to get my hopes up before seeing more concrete demos. Regardless, I am very very glad that someone is pursuing this research direction!
Some miscellaneous thoughts and
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came
