New (revised) preprint with @thecharleywu.bsky.social We rethink how to assess machine consciousness: not by code or circuitry, but by behavioral inference—as in cognitive science. Extraordinary claims still need extraordinary evidence. 👉 osf.io/preprints/ps... #AI #Consciousness #LLM

🧠 New paper in Open Mind! We show that LLM-based reinforcement learning agents encode relative reward values like humans, even when suboptimal and display a positivity bias. Work led by William Hayes w/ @nicolasyax.bsky.social doi.org/10.1162/opmi... #AI #LLM #RL

Preprint update, co-led with @akjagadish.bsky.social, with @marvinmathony.bsky.social, Tobias Ludwig and @ericschulz.bsky.social!

Curious about LLM interpretability and understanding ? We borrowed concepts from genetics to map language models, predict their capabilities, and even uncovered surprising insights about their training ! Come see my poster at #ICLR2025 3pm Hall 2B #505 !

🔥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 ⬇️

🚀 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

we are recruiting interns for a few projects with @pyoudeyer in bordeaux > studying llm-mediated cultural evolution with @nisioti_eleni @Jeremy__Perez > balancing exploration and exploitation with autotelic rl with @ClementRomac details and links in 🧵 please share!

Putting some Flow Lenia here too

1/⚡️Looking for a fast and simple Transformer baseline for your RL environment in JAX ? Sharing my implementation of transformerXL-PPO: github.com/Reytuag/tran... The implementation is the first to attain the 3rd floor and obtain advanced achievements in the challenging Craftax

🚨New preprint🚨 When testing LLMs with questions, how can we know they did not see the answer in their training? In this new paper we propose a simple out of the box and fast method to spot contamination on short texts with @stepalminteri.bsky.social and Pierre-Yves Oudeyer !