the science of scaling - at @raais 2026, @ted_moskovitz and i will have a fireside chat on what it takes to build and scale frontier ai at @anthropicai
this'll be fascinating
come join!
We're launching an "AI psychiatry" team as part of interpretability efforts at Anthropic! We'll be researching phenomena like model personas, motivations, and situational awareness, and how they lead to spooky/unhinged behaviors. We're hiring - join us! job-boards.greenhouse.io/anthropic/jobs…
New work led by @Aaditya6284! This was a really fun and interesting project, and I think there are a lot of cool insights to be had on the interplay between in-context and in-weights learning on the circuit level.
Transformers employ different strategies through training to minimize loss, but how do these tradeoff and why?
Excited to share our newest work, where we show remarkably rich competitive and cooperative interactions (termed "coopetition") as a transformer learns.
Read on 🔎⏬
Math reasoning benchmarks keep getting saturated…
Excited to introduce HARD-Math: Human-Annotated Reasoning Dataset for Math. Consisting of 4,780 short answer problems, based on the AHSME, AMC, & AIME contests, HARD-Math still poses a challenge for frontier LLMs.
Read on 🔎⏬
Introducing Claude 3.5 Sonnet—our most intelligent model yet.
This is the first release in our 3.5 model family.
Sonnet now outperforms competitor models on key evaluations, at twice the speed of Claude 3 Opus and one-fifth the cost.
Try it for free: claude.ai