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Let’s get Dwarkesh Patel to read poetry in a bubble bath 😂

Claude wasn’t designed to be a calculator; it was trained to predict text. And yet it can do math "in its head". How? We find that, far from merely memorizing the answers to problems, it employs sophisticated parallel computational paths to do "mental arithmetic".

Human thought is built out of billions of cellular computations each second. Language models also perform billions of computations for each word they write. But do these form a coherent “thought process?” We’re starting to build tools to find out! Some reflections in thread.

The Scott Alexander & Daniel Kokotajlo episode. Scott and Daniel break down every month from now until the 2027 intelligence explosion. Misaligned hive minds, Xi and Trump waking up, automated Ilyas accelerating AI progress. I went in quite skeptical. But I learned a tremendous

If you're a prompting genius, please apply to this role and include an example that shows off how well you can inspire models, regardless of the target. Scaffolding pipelines, metaprompts, prompts that improve outputs, and so on are all great. job-boards.greenhouse.io/anthropic/jobs…

The Urgency of Interpretability: Why it's crucial that we understand how AI models work darioamodei.com/post/the-urgen…

METR is great. Chris Painter is great. You should strongly consider working with them!

Great post "So you want to work in mechanistic interpretability" about skills to develop and resources to use, whether you're coming more from research or engineering. (link in thread)

Come ask us questions :)

Anthropic is hosting a recruiting social in NYC targeted at the quant trading industry! Signup in thread. I enjoyed trading systems, and Anthropic combines the technical depth of trading with being in the fastest most impactful area of tech.

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🧵✨🙏 With the new Claude Opus 4, we conducted what I think is by far the most thorough pre-launch alignment assessment to date, aimed at understanding its values, goals, and propensities. Preparing it was a wild ride. Here’s some of what we learned. 🙏✨🧵

Round Two!

Circuits at home! (but it’s actually really good) Big win from the Anthropic Fellows program and open source interp collaborators

New Anthropic Research: A new set of evaluations for sabotage capabilities. As models gain more agentic abilities, we need to get smarter in how we monitor them. We’re publishing a new set of complex evaluations that test for sabotage—and sabotage-monitoring—capabilities.