The Information Bottleneck EP20: Yann LeCun
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Dec 15, 2025 
Yann LeCun, a Turing Award-winning computer scientist and pioneer of deep learning, shares his bold vision for AI after leaving Meta to start Advanced Machine Intelligence. He critiques the current Silicon Valley obsession with scaling language models, arguing they won't lead to artificial general intelligence. Instead, he advocates for developing world models that simulate abstract concepts. Yann discusses learning object permanence and the challenges of game AI, while advocating for safety measures in AI design, emphasizing an architecture-focused approach.
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Publish Upstream Research
- Publish upstream research to avoid self-delusion and improve scientific rigor.
- Open publication motivates researchers and enables long-term breakthroughs.
Signature Encoding That Business Rejected
- Yann described early work on Siamese networks developed to encode signatures compactly for credit-card use.
- That project succeeded technically but failed commercially because business chose simpler UX.
Text Alone Won't Ground Human-Level AI
- Video and continuous multimodal data have far richer structure than text and provide better grounding.
- Training solely on text tokens cannot reach human-level embodied intelligence.