Lex Fridman Podcast #416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
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Mar 7, 2024 
Yann LeCun, Chief AI Scientist at Meta and Turing Award winner, dives into the transformative power of open-source AI. He discusses the real-world limits of large language models, emphasizing the need for sensory experiences in developing true intelligence. LeCun also outlines the intricacies of AI's hierarchical planning and the importance of diverse perspectives in AI development. The conversation navigates the delicate balance between innovation and ethical considerations, urging for a collective approach in shaping the future of artificial intelligence.
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Limits of LLMs
- Auto-regressive LLMs like GPT-4 have limitations in understanding the world, reasoning, and planning.
- They excel at language but lack core components of human-level intelligence.
World Knowledge
- Language models, while trained on vast text data, miss the richness of sensory experience.
- Human knowledge is primarily gained through observing and interacting with the real world, not just language.
Thinking vs. Generating
- Current LLMs generate text token by token, without the abstract thought process humans use.
- Humans think and plan before speaking, a crucial aspect missing in auto-regressive LLMs.