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Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay

Yi Tay, a researcher at Google DeepMind, discussed the development of Gemini Deep Think and the IMO Gold model, highlighting the team's shift towards reinforcement learning (RL) for reasoning capabilities. He detailed the process of training the IMO Gold model, which involved a distributed team and a live competition setting. Tay also touched upon the advantages of on-policy RL, the importance of self-consistency in model reasoning, and the growing gap between frontier AI labs and open-source development. AI

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RANK_REASON The item discusses research findings and model development, including specific benchmarks like the International Math Olympiad, which falls under the research category.

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Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay

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  1. Latent Space Podcast TIER_1 · Latent.Space ·

    Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay

    <p>From shipping <strong>Gemini Deep Think</strong> and <strong>IMO Gold</strong> to launching the <strong>Reasoning and AGI team in Singapore</strong>, <strong>Yi Tay</strong> has spent the last 18 months living through the full arc of Google DeepMind’s pivot from architecture r…