Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas 280 | François Chollet on Deep Learning and the Meaning of Intelligence
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Jun 24, 2024 
François Chollet, a deep learning researcher at Google and creator of the Keras library, explores what true intelligence means in the context of AI. He questions whether large language models like ChatGPT possess real intelligence, highlighting their capabilities versus limitations. The conversation dives into the intricacies of how these models operate, the evolution of AI from symbolic to connectionist approaches, and the significant breakthroughs needed for genuine understanding. Chollet also discusses the importance of democratizing access to deep learning tools.
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AI Development History
- Early AI used symbolic approaches, where programmers hardcoded models.
- As computers improved, machine learning, not initially connectionist, gained traction.
Data Annotation's Importance
- Thousands of people annotate data for LLMs, correcting model mistakes.
- This manual process significantly improves model usefulness by guiding it toward correct answers.
Using LLMs Effectively
- Use LLMs for directionally accurate answers, not exact ones.
- Refine LLM outputs manually or with symbolic systems for precise results.
