Can AI agents adapt zero-shot, to complex multi-step language instructions in open-ended environments? We present MaestroMotif, a method for skill design that produces highly capable and steerable hierarchical agents. Paper: arxiv.org/abs/2412.08542 Code: github.com/mklissa/maestromotif

Introducing 🧞Genie 2 🧞 - our most capable large-scale foundation world model, which can generate a diverse array of consistent worlds, playable for up to a minute. We believe Genie 2 could unlock the next wave of capabilities for embodied agents 🧠.

Do you know what rating you’ll give after reading the intro? Are your confidence scores 4 or higher? Do you not respond in rebuttal phases? Are you worried how it will look if your rating is the only 8 among 3’s? This thread is for you.

Just a heads up to everyone: @deep-mind.bsky.social is unfortunately a fake account and has been reported. Please do not follow it nor repost anything from it.

Your LLM shall not pass! 🧙‍♂️ ... unless it's really good in reasoning and games! Check out this new amazing benchmark BALROG 👾 from @dpaglieri.bsky.social and team 👇

For no particular reason, I really like these starter packs: Google DeepMind: go.bsky.app/GZ4hZzu Theoretical CS: go.bsky.app/6A6GRSi ML Theory: go.bsky.app/21nFz12 Differential Privacy: go.bsky.app/A7ABG83

How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️

Now that @jeffclune.bsky.social and @joelbot3000.bsky.social are here, time for an Open-Endedness starter pack. go.bsky.app/MdVxrtD

I am happy to share that I successfully defended my PhD thesis yesterday! 🎓 This journey has been nothing short of extraordinary, and I’m incredibly grateful to everyone who has been a part of it. 🪇

Lets get the multi-agent learning community started up here: go.bsky.app/9gsefkW