General purpose ai

Chelsea Finn: This is the State of the Art in Robotics

Chelsea Finn: This is the State of the Art in Robotics

Chelsea Finn, co-founder of Physical Intelligence, discusses the path to building general-purpose robots that operate reliably in the real world. She details how advanced reinforcement learning with human intervention, coupled with multi-scale memory systems, significantly boosts robot autonomy and throughput. Finn argues that robotics is entering its "GPT era," moving from specialized models to powerful, out-of-the-box foundation models like their PIO7, which demonstrates strong compositional generalization across tasks, objects, and robot platforms, matching or exceeding specialist performance without fine-tuning. The talk also covers the unique challenges and opportunities in robotics data, model deployment, and career paths.

How a reasoning model cracked an 80-year-old math problem — the OpenAI Podcast Ep. 20

How a reasoning model cracked an 80-year-old math problem — the OpenAI Podcast Ep. 20

OpenAI's reasoning researchers discuss how a general-purpose AI model disproved an 80-year-old conjecture from mathematician Paul Erdős. They detail the journey from initial IMO/IOI breakthroughs to the verification of the proof, highlighting the model's creative application of advanced number theory. The episode explores the profound implications for the future of mathematics, AI-human collaboration, and the broader scientific landscape, offering advice for researchers seeking to leverage AI for groundbreaking discoveries.