Episodes (Page 7)
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Rosanne Liu talks about her research at Google Brain.
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Ben Green critiques the effectiveness of "Tech for Social Good."
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Max Braun leads robotics development at Everyday Robots, focusing on robots that learn to assist in everyday human tasks
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Yejin Choi focuses on teaching machines common sense and morality.
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David Chalmers explores the philosophical implications of AI and consciousness.
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Greg Yang introduces his Tensor Programs framework for neural networks.
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Nick Walton discusses AI Dungeon and the future of AI in games.
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Connor Leahy founded EleutherAI to democratize AI research through open-source models replicating GPT-2 and GPT-3
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Percy Liang directs Stanford's Center for Research on Foundation Models and addresses robustness, interpretability, and reproducibility challenges in modern ML
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Eric Jang focuses on robots learning at Google.
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Rishi Bommasani discusses Foundation Models and their social impact.
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Upol Ehsan advances explainable AI beyond opening black boxes to address social and human-centered factors in AI transparency
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Miles Brundage investigates the malicious use of AI systems, including misinformation, autonomous weapons, and other dual-use risks requiring preventative policy
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Jeffrey Ding discusses China's AI ambitions and the global AI 'arms race'.
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Alex Tamkin explores self-supervised learning and large language models.
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Peter Henderson discusses RL benchmarking and AI's climate impact.
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Chelsea Finn on meta-learning and model-based reinforcement learning.
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Devi Parikh explores generative art and AI for creativity.
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Sergey Levine on robot learning and offline reinforcement learning.
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Jeremy Howard discusses Kaggle, Enlitic, and fast.ai.