Pierre-Yves Oudeyer
pyoudeyer.bsky.social
Pierre-Yves Oudeyer
@pyoudeyer.bsky.social
Research director @Inria, Head of @flowersInria
lab, prev. @MSFTResearch @SonyCSLParis

Artificial intelligence, cognitive sciences, sciences of curiosity, language, self-organization, autotelic agents, education, AI and society

http://www.pyoudeyer.com
I'm happy to share a new podcast where I explain how I got to study curiosity, why it's fundamental in child development and how this got applied in self-improving robots/AI!

🙏 Thanks to the amazing Lynn Borton for hosting the podcast !

lynnborton.com/2026/08/27/m...
Make It Your Own: Autotelic Curiosity, with Pierre-Yves Oudeyer
Research Pierre-Yves Oudeyer and his team are studying autotelic curiosity, that marvelous ability to self-generate and self-select our own learning objectives, goals or games. They design robots to l...
lynnborton.com
September 1, 2026 at 12:20 PM
Reposted by Pierre-Yves Oudeyer
[2/2] Joining us will be @jennysaffran.bsky.social, from @uwmadison.bsky.social; @noranewcombe.bsky.social, from Temple University; @pyoudeyer.bsky.social, from Inria; and Noam Sigelman, from The Hebrew University of Jerusalem.

📅 June 10-12, 2026

+info ⬇️

www.bcbl.eu/events/stati...
April 13, 2026 at 10:58 AM
🔍 What happens when you give middle-schoolers unrestricted access to ChatGPT for science tasks?

Findings from our new paper led by Rania Abdelghani w/ @koumurayama.bsky.social @celestekidd.bsky.social Hélène Sauzéon 🧵👇
April 1, 2026 at 10:24 AM
New blog post: The Phylogenetics of Artifacts — inferring the evolution of cultural objects, artificial life forms, and language models.

From cat genetics to ancient myths to LLMs. 🧬 1/n
March 10, 2026 at 12:28 PM
Reposted by Pierre-Yves Oudeyer
Wow, some of my old #EvolutionOfLanguage #EoL pals may have just done something huge for #AILaw data attribution #LLM #AIGovernance Specifically
@pyoudeyer.bsky.social @nicolasyax.bsky.social @stepalminteri.bsky.social

Evolutionary biology can track LLM phylogeny!
developmentalsystems.org/phylolm
The Phylogenetics of Artifacts - A deep dive into the evolution of cultural objects, artificial life forms and language models
Developmental Systems, a Blog of the Flowers Lab
developmentalsystems.org
March 10, 2026 at 11:01 AM
Major new system and result from the team: SOAR is an open-source self-improving genAI system pushing the frontier of ARC performances using program synthesis

It relies on using LLMs as self-improving smart operators for evolutionary search
Introducing SOAR 🚀, a self-improving framework for prog synth that alternates between search and learning (accepted to #ICML!)

It brings LLMs from just a few percent on ARC-AGI-1 up to 52%

We’re releasing the finetuned LLMs, a dataset of 5M generated programs and the code.

🧵
July 16, 2025 at 3:25 PM
Using LLMs to advance the cognitive science of collectives

Very interesting new paper by @sucholutsky.bsky.social
Katherine Collins @norijacoby.bsky.social @billdthompson
@roberthawkins.bsky.social

arxiv.org/pdf/2506.00052
June 10, 2025 at 12:18 PM
Reposted by Pierre-Yves Oudeyer
Le travail de Samuel Bianchini à partir des algorithmes de @pyoudeyer.bsky.social mis en lumière par le Jeu de paume dans son expo IA
June 6, 2025 at 4:29 PM
Humans' ability to invent their own games & goals is at the core of open-ended learning.

Understanding and modeling computationally how they do it would be enlightening to understand better human cognition and build open-ended AI

Great step in this direction in new paper by Guy Davidson et al.
May 28, 2025 at 2:20 PM
Reposted by Pierre-Yves Oudeyer
I reviewed "These Strange New Minds: How AI Learned to Talk and What It Means" by Chris Summerfield.

melaniemitchell.me/EssaysConten...
May 19, 2025 at 6:36 PM
May 15, 2025 at 11:47 AM
Cool
Published my WebGPU Particle Life simulation online! Obviously it requires WebGPU support, and it's quite resource-demanding, so I've set the particle count to 64k for now. Also it probably doesn't work on mobile; will fix later.

Enjoy: lisyarus.github.io/webgpu/parti...
Particle Life 2D
lisyarus.github.io
May 15, 2025 at 11:40 AM
Reposted by Pierre-Yves Oudeyer
Another one.
May 9, 2025 at 9:19 PM
Reposted by Pierre-Yves Oudeyer
Here is a cool Flow-Lenia simulation, which is a continuous cellular automaton with two distinct features:
1. Mass conservation - sum of all activations is constant through time
2. Localized update rules - enables simulations with differently behaving matter on the same grid
May 9, 2025 at 9:17 PM
Reposted by Pierre-Yves Oudeyer
Very happy that our paper received both the EvoApps best paper and the EvoStar best student paper! Congrats team!!

Emergent Kin Selection of Altruistic Feeding via Non-Episodic Neuroevolution
arxiv.org/abs/2411.10536
May 12, 2025 at 3:45 PM
Reposted by Pierre-Yves Oudeyer
Check out @nicolasyax.bsky.social
thread about our paper (co-supervised by @pyoudeyer.bsky.social) where we show that evolutionary tree reconstruction can be successfully applied to map LLMs to map relations and predict their performance! Currently at @iclr-conf.bsky.social
April 29, 2025 at 11:38 AM
Generative AI is a cultural transmission technology:
it plays a growing role in generation, selection and transmission of ideas/opinions in human society 🧠🔄🌐

And yet we understand very little of this dynamics at this point 🤔❓

A step forward is our #ICLR2025 paper !👇
April 25, 2025 at 1:41 PM
Imagine you can compute a (very) cheap behavioural signatures for LLMs and from it
1) infer their history (which previous models they derived from)
2) build large maps to navigate spaces of 100s of models
3) predict (coarsely) their performances in benchmarks

That's PhyloLM 🚀
🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥
In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with @stepalminteri.bsky.social and @pyoudeyer.bsky.social ! Here is a brief recap ⬇️
April 24, 2025 at 1:21 PM
We are starting a new major research project investigating the joint development of curiosity and metacognition in adolescents, where the Flowers lab will collaborate with @mjgruber.bsky.social 's lab at Univ. Cardiff, and Yana Fandakova at Univ. Trier !!! Open postdocs positions, see below 👇
Interested in curiosity and metacognition in childhood and adolescence? Join us at Cardiff University (UK) for a Postdoc position in an international collaboration with @yanafandakova.bsky.social (Germany) and @pyoudeyer.bsky.social (France). Please repost! #DevPsych #PsychSciSky #neuroskyence
Job Search | Cardiff University
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krb-sjobs.brassring.com
April 16, 2025 at 9:54 AM
Why Self-Determination Theory Needs Computational Modelling: The Case of Competence and Optimal Challenge

by @codingconduct.cc E. Lintunen N. Aly @creativeendvs.bsky.social

osf.io/n6x8s/downlo...
April 10, 2025 at 1:24 PM
Forcing Diffuse Distributions out of Language Models

"When LLMs are used for real-world tasks where diversity of outputs is crucial their inability to produce
diffuse distributions over valid choices is a major hurdle"

New method to address this challenge by Zhang et al.:

arxiv.org/pdf/2404.10859
April 3, 2025 at 9:15 AM
Reposted by Pierre-Yves Oudeyer
Accepting “the bitter lesson” and embracing the brain’s complexity by Dyer and Richards. Great article! www.thetransmitter.org/neuroai/acce...
» Accepting “the bitter lesson” and embracing the brain’s complexity Close menuMenuClose menuSpectrum logoYouTubeBlueskyMastodonYouTubeBlueskyMastodon
www.thetransmitter.org
March 26, 2025 at 4:09 PM
Reposted by Pierre-Yves Oudeyer
"The Appeal of Insight: Why Riddles and Whodunits Captivate Us" - These studies contribute to a growing literature in which the cultural success of fictional stories is explained by their ability to tap into specific cognitive mechanisms.
osf.io/preprints/ps...
OSF
osf.io
March 26, 2025 at 6:44 AM
Reposted by Pierre-Yves Oudeyer
Extreme stances about AI and LLMs in particular (be them deflationary or inflationary) are very likely wrong, valid and certainly not good for an healthy debate. But where do they come from? We (with @giadapistilli.com) argue that common cognitive biases may play a role:

osf.io/preprints/ps...
March 26, 2025 at 7:33 AM
Reposted by Pierre-Yves Oudeyer
Humans excel at estimating their own competence and progress on tasks. But can LLM agents do the same?

With 🧭MAGELLAN, our agent predicts its own learning progress across vast goal spaces, even generalizing to new tasks!

📄Paper: arxiv.org/abs/2502.07709
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
MAGELLAN: Metacognitive predictions of learning progress guide...
Open-ended learning agents must efficiently prioritize goals in vast possibility spaces, focusing on those that maximize learning progress (LP). When such autotelic exploration is achieved by LLM...
arxiv.org
March 24, 2025 at 7:53 PM