The Gradient: Perspectives on AI

144 Episoder

1. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Udgivet: 28.4.2022
2. Nick Walton on AI Dungeon and the Future of AI in Games

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

   Udgivet: 3.2.2022
4. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Udgivet: 27.1.2022
5. Eric Jang on Robots Learning at Google and Generalization via Language

   Udgivet: 8.1.2022
6. Rishi Bommasani on Foundation Models

   Udgivet: 9.12.2021
7. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

   Udgivet: 3.12.2021
8. Miles Brundage on AI Misuse and Trustworthy AI

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

   Udgivet: 18.11.2021
10. Alex Tamkin on Self-Supervised Learning and Large Language Models

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

    Udgivet: 28.10.2021
12. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Udgivet: 14.10.2021
13. Devi Parikh on Generative Art & AI for Creativity

    Udgivet: 1.10.2021
14. Sergey Levine on Robot Learning & Offline RL

    Udgivet: 16.9.2021
15. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Udgivet: 9.9.2021
16. Evan Hubinger on Effective Altruism and AI Safety

    Udgivet: 3.9.2021
17. Yannic Kilcher on Being an AI Researcher and Educator

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

    Udgivet: 19.8.2021
19. Yann LeCun on his Start in Research and Self-Supervised Learning

    Udgivet: 5.8.2021
20. Anna Rogers on the Flaws of Peer Review in AI

    Udgivet: 30.7.2021