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I've been asked what's the biggest thing in 2024 other than LLMs. It's Robotics. Period. We are ~3 years away from the ChatGPT moment for physical AI agents. We've been cursed by the Moravec's paradox for too long, which is the counter-intuitive phenomenon that "tasks that humans

If you found this interesting/want to dig deeper, Vasu Vikram, Michael Zhou and I built a lecture+project for a SWE class at CMU School of Computer Science. [Lecture] A software engineer's guide to LLM's-cmu-313.github.io/_old/F23/asset… [Project] Answer our syllabus q's with an LLM-colab.research.google.com/drive/18ppvk_X…

Introducing AlphaGeometry: an AI system that solves Olympiad geometry problems at a level approaching a human gold-medalist. 📐 It was trained solely on synthetic data and marks a breakthrough for AI in mathematical reasoning. 🧵 dpmd.ai/alphageometry

# on shortification of "learning" There are a lot of videos on YouTube/TikTok etc. that give the appearance of education, but if you look closely they are really just entertainment. This is very convenient for everyone involved : the people watching enjoy thinking they are

LLMs are capable of high-level planning, but they require pre-trained skills! Our #ICLR2024 paper instead uses LLM guidance to train RL agents from scratch to solve 25+ long-horizon robotics tasks across four benchmarks w/ >85% success rates Paper & code: mihdalal.github.io/planseqlearn