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Generally Intelligent

Por: Kanjun Qiu

Conversations with builders and thinkers on AI's technical and societal futures. Made by Imbue.

38 episodios disponibles

Latest episodes of the podcast Generally Intelligent

From lawless spaces to true liberty: rethinking AI's role in society 13/08/2025

Rylan Schaeffer, Stanford: Investigating emergent abilities and challenging dominant research ideas 18/09/2024

Ari Morcos, DatologyAI: Leveraging data to democratize model training 11/07/2024

Percy Liang, Stanford: The paradigm shift and societal effects of foundation models 09/05/2024

Seth Lazar, Australian National University: Legitimate power, moral nuance, and the political philosophy of AI 12/03/2024

Tri Dao, Stanford: FlashAttention and sparsity, quantization, and efficient inference 09/08/2023

Jamie Simon, UC Berkeley: Theoretical principles for how neural networks learn and generalize 22/06/2023

Bill Thompson, UC Berkeley: How cultural evolution shapes knowledge acquisition 29/03/2023

Ben Eysenbach, CMU: Designing simpler and more principled RL algorithms 23/03/2023

Jim Fan, NVIDIA: Foundation models for embodied agents, scaling data, and why prompt engineering will become irrelevant 09/03/2023

Sergey Levine, UC Berkeley: The bottlenecks to generalization in reinforcement learning, why simulation is doomed to succeed, and how to pick good research problems 01/03/2023

Noam Brown, FAIR: Achieving human-level performance in poker and Diplomacy, and the power of spending compute at inference time 09/02/2023

Sugandha Sharma, MIT: Biologically inspired neural architectures, how memories can be implemented, and control theory 17/01/2023

Nicklas Hansen, UCSD: Long-horizon planning and why algorithms don't drive research progress 16/12/2022

Jack Parker-Holder, DeepMind: Open-endedness, evolving agents and environments, online adaptation, and offline learning 06/12/2022

Celeste Kidd, UC Berkeley: Attention and curiosity, how we form beliefs, and where certainty comes from 22/11/2022

Archit Sharma, Stanford: Unsupervised and autonomous reinforcement learning 17/11/2022

Chelsea Finn, Stanford: The biggest bottlenecks in robotics and reinforcement learning 03/11/2022

Hattie Zhou, Mila: Supermasks, iterative learning, and fortuitous forgetting 14/10/2022

Minqi Jiang, UCL: Environment and curriculum design for general RL agents 19/07/2022

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