Real-World Data Challenges
The conversation delves into the importance of developing general algorithms for AI, emphasizing the need to automate real-world data collection. While simulation provides an easier avenue for data acquisition, the complexities of the real world pose significant challenges. Reflecting on personal influences, Asimov's work emerges as a source of inspiration, highlighting the intersection of literature and technology in shaping perspectives on AI.In this clip
From this podcast
Lex Fridman Podcast
Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108
Related Questions