Generally Intelligent
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About
Conversations with builders and thinkers on AI's technical and societal futures. Made by Imbue.
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Recent episodes
- There will be a scientific theory of deep learning
- Malleable software and human agency with Geoffrey Litt
- From lawless spaces to true liberty: rethinking AI's role in society
- Rylan Schaeffer, Stanford: Investigating emergent abilities and challenging dominant research ideas
- Ari Morcos, DatologyAI: Leveraging data to democratize model training
- Percy Liang, Stanford: The paradigm shift and societal effects of foundation models
- Seth Lazar, Australian National University: Legitimate power, moral nuance, and the political philosophy of AI
- Tri Dao, Stanford: FlashAttention and sparsity, quantization, and efficient inference
- Jamie Simon, UC Berkeley: Theoretical principles for how neural networks learn and generalize
- Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition