Big Technology Podcast NVIDIA's Plan To Build AI That Understands The Real World — With Rev Lebaredian
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Feb 5, 2025 Rev Lebaredian, Vice President of Omniverse & Simulation Technology at NVIDIA, discusses groundbreaking advancements in AI that aim to understand real-world dynamics and physics. He delves into how these technologies could impact robotics, reshape labor markets, and even influence warfare. The conversation explores the evolution of AI models, challenges in comprehending physical reality, and the ethical considerations surrounding robotics in military contexts. Tune in for insights on the future of work and the cinematic revolution powered by AI.
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Jevons Paradox and AI
- Jevons Paradox suggests that increasing efficiency lowers cost, thus raising demand and unlocking new uses.
- This applies to AI, as increased efficiency will make it more economically valuable and drive further development.
LLMs Lack Common Sense
- LLMs trained solely on text lack real-world common sense, especially about physics.
- Building world models into AI could provide this missing common sense.
Real-World AI's Potential
- AI trained on real-world data will understand physics, unlocking robotics and revolutionizing physical-world applications.
- The most valuable AIs will be those that can interact with and manipulate the physical world.