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Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306

Oriol Vinyals is the Research Director and Deep Learning Lead at DeepMind. Please support this podcast by checking out our sponsors: - Shopify: https://shopify.com/lex to get 14-day free trial - Weights & Biases: https://lexfridman.com/wnb - Magic Spoon: https://magicspoon.com/lex and use code LEX to get $5 off - Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium EPISODE LINKS: Oriol's Twitter: https://twitter.com/oriolvinyalsml Oriol's publications: https://scholar.google.com/citations?user=NkzyCvUAAAAJ DeepMind's Twitter: https://twitter.com/DeepMind DeepMind's Instagram: https://instagram.com/deepmind DeepMind's Website: https://deepmind.com Papers: 1. Gato: https://deepmind.com/publications/a-generalist-agent 2. Flamingo: https://deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model 3. Language Models are Few-Shot Learners: https://arxiv.org/abs/2005.14165 4. Emergent Abilities of Large Language Models: https://arxiv.org/abs/2206.07682 5. Attention Is All You Need: https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:34 - AI 15:31 - Weights 21:50 - Gato 56:38 - Meta learning 1:10:37 - Neural networks 1:33:02 - Emergence 1:39:47 - AI sentience 2:03:43 - AGI SOCIAL: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Reddit: https://reddit.com/r/lexfridman - Support on Patreon: https://www.patreon.com/lexfridman

Lex FridmanhostOriol Vinyalsguest
Jul 26, 20222h 10mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
July 26, 2022
Duration
2h 10m
Channel
Lex Fridman Podcast
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

Oriol Vinyals is the Research Director and Deep Learning Lead at DeepMind. Please support this podcast by checking out our sponsors:

EPISODE LINKS: Oriol's Twitter: https://twitter.com/oriolvinyalsml Oriol's publications: https://scholar.google.com/citations?user=NkzyCvUAAAAJ DeepMind's Twitter: https://twitter.com/DeepMind DeepMind's Instagram: https://instagram.com/deepmind DeepMind's Website: https://deepmind.com Papers:

  1. Gato: https://deepmind.com/publications/a-generalist-agent
  2. Flamingo: https://deepmind.com/blog/tackling-multiple-tasks-with-a-single-visual-language-model
  3. Language Models are Few-Shot Learners: https://arxiv.org/abs/2005.14165
  4. Emergent Abilities of Large Language Models: https://arxiv.org/abs/2206.07682
  5. Attention Is All You Need: https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf

PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:34 - AI 15:31 - Weights 21:50 - Gato 56:38 - Meta learning 1:10:37 - Neural networks 1:33:02 - Emergence 1:39:47 - AI sentience 2:03:43 - AGI SOCIAL:

SPEAKERS

  • Lex Fridman

    host
  • Oriol Vinyals

    guest

EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Oriol Vinyals, Oriol Vinyals: Deep Learning and Artificial General Intelligence | Lex Fridman Podcast #306 explores deepMind’s Oriol Vinyals on Scaling Toward AGI, Not Replacing Humans Lex Fridman and Oriol Vinyals explore how large neural networks, trained on sequences across text, images, and actions, are taking us toward general-purpose AI systems while still falling short of human-like lifetime learning and memory.

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