The Gradient: Perspectives on AI

146 Episodes

1. Yejin Choi: Teaching Machines Common Sense and Morality

   Published: 5/19/2022
2. David Chalmers on AI and Consciousness

   Published: 5/12/2022
3. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Published: 4/28/2022
4. Nick Walton on AI Dungeon and the Future of AI in Games

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

   Published: 2/3/2022
6. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Published: 1/27/2022
7. Eric Jang on Robots Learning at Google and Generalization via Language

   Published: 1/8/2022
8. Rishi Bommasani on Foundation Models

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

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

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

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

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

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

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

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

    Published: 9/16/2021
17. Jeremy Howard on Kaggle, Enlitic, and fast.ai

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

    Published: 9/3/2021
19. Yannic Kilcher on Being an AI Researcher and Educator

    Published: 8/27/2021
20. Alexander Veysov on Self-Teaching AI and Creating Open Speech-To-Text

    Published: 8/19/2021