The Gradient: Perspectives on AI Eric Jang: AI is Good For You
Jan 4, 2024
In this podcast, Eric Jang, an AI researcher and author of 'AI is Good for You', discusses the problem space of humanoid robots, definitions and timelines of AGI, rediscovering old ideas in AI and robotics, the role of human in the loop learning, levels of abstraction for modeling decision-making, embodiment in AI systems, and the potential benefits and drawbacks of AGI.
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From Google to Humanoid Robots
- Eric Jang transitioned from Google Robotics to OneX to work on humanoid robots with advanced manipulation capabilities.
- He sought better hardware to extend bimanual manipulation and explore more human-like robotic affordances.
Multi-Scale Life Simulation Challenges
- Simulating multi-scale life with sufficient complexity demands abstractions beyond cellular physics due to computational constraints.
- Rich social emergence at population levels may be more feasible than detailed physical or cellular level simulation.
AGI as Collective Intelligence
- AGI may emerge as collective intelligence rather than a singular agent.
- Collective systems often outperform individuals economically and socially, highlighting the potential form of early AGIs.