Play to Perfect

The talk examines why robotics remains difficult, pointing to gaps in physical modeling, action representation, sensing, and hardware reliability. Researchers present approaches for longer tasks and adaptation using memory, embodiment-specific reasoning, and simulation-trained dexterous policies that transfer to real tools. Rerun co-founder Nico argues that robotics startups should solve a specific customer problem end to end, starting with teleoperation and off-the-shelf hardware, then iterating through real-world data and evaluation. General Intuition presents ways to make world action models faster enough for real-time robotics.