The Gradient: Perspectives on AI

147 Episodes

1. Max Braun: Teaching Robots to Help People in their Everyday Lives

   Published: 26/05/2022
2. Yejin Choi: Teaching Machines Common Sense and Morality

   Published: 19/05/2022
3. David Chalmers on AI and Consciousness

   Published: 12/05/2022
4. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Published: 28/04/2022
5. Nick Walton on AI Dungeon and the Future of AI in Games

   Published: 24/03/2022
6. Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

   Published: 3/02/2022
7. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Published: 27/01/2022
8. Eric Jang on Robots Learning at Google and Generalization via Language

   Published: 8/01/2022
9. Rishi Bommasani on Foundation Models

   Published: 9/12/2021
10. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

    Published: 3/12/2021
11. Miles Brundage on AI Misuse and Trustworthy AI

    Published: 23/11/2021
12. Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose Technology

    Published: 18/11/2021
13. Alex Tamkin on Self-Supervised Learning and Large Language Models

    Published: 11/11/2021
14. Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

    Published: 28/10/2021
15. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Published: 14/10/2021
16. Devi Parikh on Generative Art & AI for Creativity

    Published: 1/10/2021
17. Sergey Levine on Robot Learning & Offline RL

    Published: 16/09/2021
18. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Published: 9/09/2021
19. Evan Hubinger on Effective Altruism and AI Safety

    Published: 3/09/2021
20. Yannic Kilcher on Being an AI Researcher and Educator

    Published: 27/08/2021