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Google DeepMind's Vision for AI, Search and Gemini with Oriol Vinyals from Google DeepMind

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In this episode of No Priors, hosts Sarah and Elad are joined by Oriol Vinyals, VP of Research, Deep Learning Team Lead, at Google DeepMind and Technical Co-lead of the Gemini project. Oriol shares insights from his career in machine learning, including leading the AlphaStar team and building competitive StarCraft agents. We talk about Google DeepMind, forming the Gemini project, and integrating AI technology throughout Google products. Oriol also discusses the advancements and challenges in long context LLMs, reasoning capabilities of models, and the future direction of AI research and applications. The episode concludes with a reflection on AGI timelines, the importance of specialized research, and advice for future generations in navigating the evolving landscape of AI.

Sign up for new podcasts every week. Email feedback to show@no-priors.com

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @oriolvinyalsml

Show Notes:

(00:00) Introduction to Oriol Vinyals

(00:55) The Gemini Project and Its Impact

(02:04) AI in Google Search and Chat Models

(08:29) Infinite Context Length and Its Applications

(14:42) Scaling AI and Reward Functions

(31:55) The Future of General Models and Specialization

(38:14) Reflections on AGI and Personal Insights

(43:09) Will the Next Generation Study Computer Science?

(45:37) Closing thoughts

  continue reading

81 episode

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iconBagikan
 
Manage episode 431828377 series 3444082
Konten disediakan oleh Conviction and Conviction | Pod People. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Conviction and Conviction | Pod People atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

In this episode of No Priors, hosts Sarah and Elad are joined by Oriol Vinyals, VP of Research, Deep Learning Team Lead, at Google DeepMind and Technical Co-lead of the Gemini project. Oriol shares insights from his career in machine learning, including leading the AlphaStar team and building competitive StarCraft agents. We talk about Google DeepMind, forming the Gemini project, and integrating AI technology throughout Google products. Oriol also discusses the advancements and challenges in long context LLMs, reasoning capabilities of models, and the future direction of AI research and applications. The episode concludes with a reflection on AGI timelines, the importance of specialized research, and advice for future generations in navigating the evolving landscape of AI.

Sign up for new podcasts every week. Email feedback to show@no-priors.com

Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @oriolvinyalsml

Show Notes:

(00:00) Introduction to Oriol Vinyals

(00:55) The Gemini Project and Its Impact

(02:04) AI in Google Search and Chat Models

(08:29) Infinite Context Length and Its Applications

(14:42) Scaling AI and Reward Functions

(31:55) The Future of General Models and Specialization

(38:14) Reflections on AGI and Personal Insights

(43:09) Will the Next Generation Study Computer Science?

(45:37) Closing thoughts

  continue reading

81 episode

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