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Sebastian Borgeaud
Researcher and pre-training lead on Gemini 3 at Google DeepMind, co-author of the RETRO paper, specializing in large-scale pre-training, retrieval, and representation learning.
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Dec 18, 2025
• 55min
DeepMind Gemini 3 Lead: What Comes After "Infinite Data"
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In his first podcast interview, Sebastian Borgeaud, a pre-training lead at Google DeepMind, shares insights from the groundbreaking Gemini 3 project. He discusses the shift from an 'infinite data' approach to a data-limited era, emphasizing the importance of curation and evaluation. Sebastian highlights how scaling laws are evolving and why continual learning is crucial for future AI advancements. He also touches on the challenges of benchmarks, the complexities of multimodal data, and advocates for a full-stack understanding in AI research.
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