iiinova — where your digital self keeps evolving

Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 03/07/2026

Hi friends (and friends I haven’t met yet)! I’ll be at #ICML2026 this year with some other folks from ML @ Jane Street. We do (really) exciting work across various machine learning domains and we can’t wait to see what the community is working on… 1/N

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 01/12/2025

Like ~everyone, I'll also be at #NeurIPS this week! Please reach out to chat about past (goal representations, cognitive science, intrep) or current interests (LLM mental state inference, social environments for RL). Also if you have leads on great coffee, craft beer, or tacos.

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 19/09/2025

Belated update #2: my year at Meta FAIR through the AIM program was so nice that I’m sticking around for the long haul. I’m excited to stay at FAIR and work with @asli-celikyilmaz.bsky.social and friends on fun LLM questions; I’ll be working from the New York office so we’re sticking around.

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 17/09/2025

Belated update #1: I defended my PhD about a month ago! I appreciate the warm reception from everyone who made it in-person and virtually. Thanks to my committee, @lerrelpinto.com, @togelius.bsky.social, and @markkho.bsky.social for your feedback and fun questions.

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 06/08/2025

Friends and virtual acquaintances! I’m defending my PhD tomorrow morning at 11:30 AM ET. If anyone would like to watch, let me know and I’ll send you the Zoom link (and if you’re in NYC and feel compelled to join in person, that works, too!)

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 30/07/2025

#CogSci2025 friends! I'm here all week and would love to chat. I'd particularly love to talk to anyone thinking about Theory of Mind and how to evaluate it better (in both minds and machines, in different settings and contexts), and about goals and their representations. Find me at:

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 08/07/2025

Cool new work on localizing and removing concepts using attention heads from colleagues at NYU and Meta!

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 06/06/2025

You (yes, you!) should work with Sydney! Either short-term this summer, or longer term at her nascent lab at NYU!

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 30/05/2025

Fantastic new work by @johnchen6.bsky.social (with @brendenlake.bsky.social and me trying not to cause too much trouble). We study systematic generalization in a safety setting and find LLMs struggle to consistently respond safely when we vary how we ask naive questions. More analyses in the paper!

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 23/05/2025

New preprint alert! We often prompt ICL tasks using either demonstrations or instructions. How much does the form of the prompt matter to the task representation formed by a language model? Stick around to find out 1/N

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 06/03/2025

Another banger from Jenn, Felix, and Tomer that jumps right to the top of my reading list.

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Reposted by Guy Davidson ✈️ NeurIPS 2025

Brenden Lake @brendenlake.bsky.social · 21/02/2025

I snuck a moment with my son Logan (2.5), ever the creative goal generator, into Fig. 1: "Papa, I made a Truck Carrier Truck!" How do people compose existing concepts to create new goals? Can models generate and understand goals too? nature.com/articles/s4225

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 21/02/2025

Out today in Nature Machine Intelligence! From childhood on, people can create novel, playful, and creative goals. Models have yet to capture this ability. We propose a new way to represent goals and report a model that can generate human-like goals in a playful setting... 1/N

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 22/01/2025

I've been really enjoying the new Gemini 2.0-Flash as my go-to 'how do I do this', but the Experimental tag is there for a reason. The funniest failure mode I've had yet:

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Reposted by Guy Davidson ✈️ NeurIPS 2025

xuan (ɕɥɛn / sh-yen) @xuanalogue.bsky.social · 15/01/2025

Made a second starter pack for folks in Computational Cognitive Science since the first one is now full! Again, let me know if you'd like to be added :) Pack I: go.bsky.app/KDTg6pv Pack II: go.bsky.app/TTjTNsu

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 26/12/2024

Big, if true (Definitely true) (Not very big; might grow up to be!) (Meet Lila!!)

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Reposted by Guy Davidson ✈️ NeurIPS 2025

Najoung Kim @najoung.bsky.social · 18/12/2024

Repost appreciated! 🙏 ACL 2025 Ling theory & Cognitive modeling track is looking for emergency reviewers. The emergency review period is between 3/18-26, and these reviewers will be excluded from the ARR cycle. If you're interested, please sign up here! docs.google.com/forms/d/1fH7...

docs.google.com

ACL 2025 Ling theory & Cognitive modeling track emergency reviewer volunteer form

The Linguistic Theories, Cognitive Modeling, and Psycholinguistics track at ACL 2025 is looking for emergency reviewers. The emergency reviews will take place between 18th to 26th of March, 2025. Thes...

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 13/12/2024

I, for one, enjoyed the sermon delivered to us by the high priest of deep learning

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Reposted by Guy Davidson ✈️ NeurIPS 2025

Andrew Lampinen @lampinen.bsky.social · 10/12/2024

What counts as in-context learning (ICL)? Typically, you might think of it as learning a task from a few examples. However, we’ve just written a perspective (arxiv.org/abs/2412.03782) suggesting interpreting a much broader spectrum of behaviors as ICL! Quick summary thread: 1/7

arxiv.org

The broader spectrum of in-context learning

The ability of language models to learn a task from a few examples in context has generated substantial interest. Here, we provide a perspective that situates this type of supervised few-shot learning...

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 08/12/2024

Friends and frenemies! I'll be at #NeurIPS2024 all week and would love to catch up! Let's grab coffee/food and talk about goal generation and representation, how to think about goals with/in/for LLMs, cognitive science in 2025+, or give me advice for getting into (mech.) interpretability research!

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 12/02/2024

New paper alert! There's a wealth of evidence that infants categorize spatial relations starting from 3-4 months onward. Can we evaluate neural networks in similar paradigms to babies, without special relational training? If so, what do we learn? 1/N (x-post from the other place)

sciencedirect.com

Spatial relation categorization in infants and deep neural networks

Spatial relations, such as above, below, between, and containment, are important mediators in children’s understanding of the world (Piaget, 1954). Th…

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 16/12/2023

Today! Come see talks by some of the wonderful folks who inspire this line of work, and chat with early career researchers (incl. my amazing [twitterless?] collaborator Graham Todd and I) about our posters! Room 260-262, starting now and until our intrinsic motivation runs out!

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Guy Davidson ✈️ NeurIPS 2025 @guydav.bsky.social · 09/12/2023

I'm on my way to #NeurIPS2023! Let's chat about any and all of the following: - How people represent (cognitive) goals, and how can machines generate such goals (presented at IMOL workshop on Saturday) - The potential benefits of richer, more structured goal representations... (1/3)

The title, author list, and abstract of our NeurIPS workshop paper titled "Generating Human-Like Goals by Synthesizing Reward-Producing Programs"

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