The Gradient: Perspectives on AI

143 Episoder

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

   Publisert: 24.3.2022
2. Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

   Publisert: 3.2.2022
3. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Publisert: 27.1.2022
4. Eric Jang on Robots Learning at Google and Generalization via Language

   Publisert: 8.1.2022
5. Rishi Bommasani on Foundation Models

   Publisert: 9.12.2021
6. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

   Publisert: 3.12.2021
7. Miles Brundage on AI Misuse and Trustworthy AI

   Publisert: 23.11.2021
8. Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose Technology

   Publisert: 18.11.2021
9. Alex Tamkin on Self-Supervised Learning and Large Language Models

   Publisert: 11.11.2021
10. Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for Law

    Publisert: 28.10.2021
11. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Publisert: 14.10.2021
12. Devi Parikh on Generative Art & AI for Creativity

    Publisert: 1.10.2021
13. Sergey Levine on Robot Learning & Offline RL

    Publisert: 16.9.2021
14. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Publisert: 9.9.2021
15. Evan Hubinger on Effective Altruism and AI Safety

    Publisert: 3.9.2021
16. Yannic Kilcher on Being an AI Researcher and Educator

    Publisert: 27.8.2021
17. Alexander Veysov on Self-Teaching AI and Creating Open Speech-To-Text

    Publisert: 19.8.2021
18. Yann LeCun on his Start in Research and Self-Supervised Learning

    Publisert: 5.8.2021
19. Anna Rogers on the Flaws of Peer Review in AI

    Publisert: 30.7.2021
20. Joel Simon on AI art and Artbreeder

    Publisert: 20.7.2021