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Excited to announce our full-day workshop on “In-context learning in natural and artificial intelligence” at CogSci (CogSci Society) 2024 in Rotterdam (with Jacques Pesnot--Lerousseau Akshay K. Jagadish summerfieldlab @summerfieldlab.bsky.social and Ishita Dasgupta). jacquespesnot.github.io/2024_CogSci_Wo…

sufficiently excited about this preprint to arise from twitter slumber: arxiv.org/abs/2405.09953 looks like it's about numerical cognition, but it's actually about abstraction - how to build a neural network that actually learns structure. Jess Thompson Hannah Sheahan. enjoy!

AISI finally has a website aisi.gov.uk and it looks great

Fast grants for systemic AI safety from AISI applications will open soon

looking forward to giving this class in Amsterdam with Micha Heilbron!

fabulous opportunity to work with Dan!

#Workshop at #CogSci2024 In-context learning in natural and artificial intelligence With organiser Marcel Binz, Ishita Dasgupta, Akshay K. Jagadish, Jacques Pesnot--Lerousseau, and summerfieldlab @summerfieldlab.bsky.social. Visit jacquespesnot.github.io/2024_CogSci_Wo… for the full program and more!

BAMB!2024 couldn't have been off to a better start! Excited to be back this year to teach reinforcement learning and cognitive modeling.

Excited that the preprint for the work from my first two years of PhD at summerfieldlab @summerfieldlab.bsky.social is out! In this work, we examine the role of action prediction errors (APEs) in cognitive control: osf.io/5ezxs (1/4)

we are looking for 3 new team leads at AISI - come and help us study the ways that AI impacts society: boards.eu.greenhouse.io/aisi/jobs/4399… boards.eu.greenhouse.io/aisi/jobs/4399… boards.eu.greenhouse.io/aisi/jobs/4399… we are looking for research vision, leadership experience, and technical understanding of AI

🚨🚨🚨 VERY excited to share our new paper on how AI can facilitate democratic deliberation, published today in Science Magazine! Together with MH Tessler 🇺🇦, summerfieldlab @summerfieldlab.bsky.social, and other amazing collaborators at Google DeepMind we've been building the "Habermas Machine"

Neural networks need a dorsal stream to learn structure in natural scenes! really proud of this work led by Jess Thompson

AISI's societal impacts team is looking for several research scientists / engineers. Backgrounds in machine learning, computational social science, data science, NLP, statistics / experimental design all welcome. boards.eu.greenhouse.io/aisi/jobs/4410… AISI is great. come and join us :)

Important story in the Times this morning (Rhys Blakely) about a “Habermas Machine” that can help find consensus in the deliberative process.

New paper led by the unstoppable Qingtian Mi We study how people learn a task that involves combining multiple sources of information. We work out which curricula work best, build a model, and use it to successfully discover new curricula. enjoy! osf.io/preprints/psya…

Happy Publication Day to summerfieldlab @summerfieldlab.bsky.social whose ‘THESE STRANGE NEW MINDS: How AI Learnt to Talk and What It Means’ is published by Viking Books UK Penguin Books UK today!

THESE STRANGE NEW MINDS by summerfieldlab @summerfieldlab.bsky.social is one of Literary Hub's Ten Nonfiction Books to Check Out in March! lithub.com/from-bowie-to-…

AISI has published its research agenda... aisi.gov.uk/research-agenda There is so much amazing work going on at AISI. Expect much more in the way of published outputs over the coming months!

Amid rising AI companionship, this work w/ @iasongabriel summerfieldlab @summerfieldlab.bsky.social Bertie Vidgen Scott Hale (University of Oxford Oxford Internet Institute AI Security Institute Google DeepMind) explores how human-AI relationships create feedback loops that reshape preferences - and why it matters for AI safety