The Gradient: Perspectives on AI

143 Episodes

1. Nick Walton on AI Dungeon and the Future of AI in Games

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 8/19/2021
18. Yann LeCun on his Start in Research and Self-Supervised Learning

    Published: 8/5/2021
19. Anna Rogers on the Flaws of Peer Review in AI

    Published: 7/30/2021
20. Joel Simon on AI art and Artbreeder

    Published: 7/20/2021