The Gradient: Perspectives on AI

147 Episoade

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

   Publicat: 26.05.2022
2. Yejin Choi: Teaching Machines Common Sense and Morality

   Publicat: 19.05.2022
3. David Chalmers on AI and Consciousness

   Publicat: 12.05.2022
4. Greg Yang on Communicating Research, Tensor Programs, and µTransfer

   Publicat: 28.04.2022
5. Nick Walton on AI Dungeon and the Future of AI in Games

   Publicat: 24.03.2022
6. Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment

   Publicat: 03.02.2022
7. Percy Liang on Machine Learning Robustness, Foundation Models, and Reproducibility

   Publicat: 27.01.2022
8. Eric Jang on Robots Learning at Google and Generalization via Language

   Publicat: 08.01.2022
9. Rishi Bommasani on Foundation Models

   Publicat: 09.12.2021
10. Upol Ehsan on Human-Centered Explainable AI and Social Transparency

    Publicat: 03.12.2021
11. Miles Brundage on AI Misuse and Trustworthy AI

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

    Publicat: 18.11.2021
13. Alex Tamkin on Self-Supervised Learning and Large Language Models

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

    Publicat: 28.10.2021
15. Chelsea Finn on Meta Learning & Model Based Reinforcement Learning

    Publicat: 14.10.2021
16. Devi Parikh on Generative Art & AI for Creativity

    Publicat: 01.10.2021
17. Sergey Levine on Robot Learning & Offline RL

    Publicat: 16.09.2021
18. Jeremy Howard on Kaggle, Enlitic, and fast.ai

    Publicat: 09.09.2021
19. Evan Hubinger on Effective Altruism and AI Safety

    Publicat: 03.09.2021
20. Yannic Kilcher on Being an AI Researcher and Educator

    Publicat: 27.08.2021