Machine Learning Street Talk (MLST) #81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
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Nov 20, 2022 Julian Togelius, an NYU Associate Professor and co-founder of model.ai, teams up with Ken Stanley from OpenAI, who leads research on open-endedness. The duo dives into the intersection of AI and games, emphasizing how games serve as a testing ground for AGI. They discuss the need for diversity in AI, tackling challenges in integrating different learning approaches. The conversation also touches on the balance between creativity and technology, and the philosophical debates shaping AI's future.
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Games as AI Testbeds
- Games are a good testbed for AI because of their wide design space, testing various cognitive skills.
- If an AI performs well on a variety of video games, it could indicate general intelligence.
Domain-Specific Intelligence
- Task-specific skill alone isn't intelligence; true intelligence involves rapidly building on existing knowledge.
- Intelligence is always domain-specific, relative to a certain area of expertise, not a general quality.
Synergy of Gaming and AI
- Games, with their social aspects and life simulation, offer potential for learning high-level intelligence.
- The synergy between gaming and AI could benefit both, with better AI leading to more sophisticated games.
