Anthropic now has a team dedicated to AI and the rule of law — and we've just opened our first role. @AnthropicAI has studied what AI means for the economy. This team asks a different question: what will it mean for executive power, for courts and elections — and for the public deliberation that constitutional democracy ultimately rests on? We're looking for someone with real depth in both AI and the law — a legal scholar, political scientist, or experienced government hand who can reason about frontier systems and the institutions they will affect. If that's you, or someone you know: job-boards.greenhouse.io/ant…

My team at @AISecurityInst studies how frontier AI shapes what we believe, decide, and feel - and we're hiring! 🚨 The role is a 6-month RA residency in London, ideal for MScs / early PhDs in ML, psych, cog/data sci [1 June deadline] Get a taste of our recent research below 👇

These Strange New Minds by @summerfieldlab is the LLM book I've been waiting for, and I can't believe I missed it. It's a little dated now (first released summer 2024), but still excellent. Basically, it's a wide-ranging, curious book about LLMs written by someone in the field for a lay audience (high lay; it doesn't completely ignore the math), not the *personalities* who are building AI. This isn't a full review, and there are parts I disagree with, but it's good.

this was a fun project. If you use AI for writing assistance, how does it change what readers think about you? Find out in this new paper led by @paul_rottger!

Stefano is brilliant. If you care about deep learning theory or AI safety or both then this is for you.

My friend and collaborator of 21 years - and my coauthor on Algorithms to Live By - Tom Griffiths has a book out this week on the story of computational cognitive science. If you enjoyed Algorithms to Live By you won't want to miss it. Highly recommended:

This project was joint work with @tsonj, @ellemichelley, @vincentadam87, @hannahrosekirk, @summerfieldlab, and Tsvetomira Dumbalska. Preprint: arxiv.org/abs/2601.20838 We will see you at #ICLR2026 in Rio! 🇧🇷

Super interesting paper just out in Nature Human Behaviour! Do humans learn like transformers? In a smart experiment, the authors trained humans and transformer networks on the same rule-learning task, manipulating only one thing: the distribution of training examples, from fully diverse (every example unique) to highly redundant (the same items repeated). The first results are already interesting: Diverse examples lead both human and artificial systems to generalise rules to novel situations. Redundant examples lead both humans and artificial systems to memorize examples. Additionally, the switching between these two strategies appear at similar tradeoffs. So, do humans and transformers learn in the same way? Not quite! And it’s here that things get super interesting: If you show diverse examples first, humans learn to generalize without losing the ability to memorize later. Transformers, by contrast, do not show the same benefit: when training shifts toward memorization, earlier generalization does not reliably carry over. Humans can accumulate learning strategies more flexibly than transformers. Paper in the first reply

Machine Behavior conference is back! Pls spread the word. 18-19 May, 2026 Abstract submissions deadline 8 Feb Speakers include: @cocosci_lab @ThoreG @summerfieldlab @weidingerlaura @a_baronca machinebehavior.science/

@AISecurityInst turned two this month. Happy birthday to us! 🎂 It’s been the privilege of my life to help build and lead this organisation. Here are 10 things I’m proud we’ve achieved in the last two years - a small sample of a much larger list...

I will be speaking at this event in London on wednesday 29th. looking forward, thanks to @RMBattleday and @thought_channel for organising!

AI grows up. My review in today’s @WSJ @WSJBooks of “These Strange New Minds” by @summerfieldlab and “The Scaling Era” by @dwarkesh_sp. Link is in reply.

New preprint! Growing numbers of people turn to AI chatbots for information, sparking debates about their potential to mislead voters and shape public discourse. But what's the real impact of AI on political beliefs? Our latest research dives into this critical question 👇

Pleased to share our new piece @Nature titled: "We Need a New Ethics for a World of AI Agents". AI systems are undergoing an ‘agentic turn’ shifting from passive tools to active participants in our world. This moment demands a new ethical framework.

📢Introducing the Alignment Project: A new fund for research on urgent challenges in AI alignment and control, backed by over £15 million. ▶️ Up to £1 million per project ▶️ Compute access, venture capital investment, and expert support Learn more and apply ⬇️

it was so fun to work with this great team to understand what makes AI persuasive and why!