Chapter
The Meaning of Life and the Limitations of AI Simulators
1:34:13 - 1:37:36 (03:22)
The limitations of AI simulators and relying on label datasets can hinder progress in making real-world changes, leading to a bigger philosophical question about the meaning of life.
Clips
In a discussion about reward functions, the guest reflects on the importance of working on problems that really matter to them and provide a sense of fulfillment and purpose.
1:34:13 - 1:35:20 (01:07)
Professional Development
Summary
In a discussion about reward functions, the guest reflects on the importance of working on problems that really matter to them and provide a sense of fulfillment and purpose. They also discuss the challenge of defining success in terms of achieving meaningful impact.
ChapterThe Meaning of Life and the Limitations of AI Simulators
Episode#108 – Sergey Levine: Robotics and Machine Learning
PodcastLex Fridman Podcast
The key to improving machine's capabilities is to create machines that get better over time as they exist in the real world, not just in simulations or through training on labeled datasets.
1:35:20 - 1:37:36 (02:15)
Machine Learning
Summary
The key to improving machine's capabilities is to create machines that get better over time as they exist in the real world, not just in simulations or through training on labeled datasets.