Chief Scientist

Tales of code, data, AI and open-source community from the heart of the Silicon Valley.

Chief Scientist is a general podcast hosted by Unknown Host, with 0 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Chief Scientist, a general show with 0 episodes published.

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  Chief Scientist

  Chief Scientist: Slava Tykhonov, CODATA Paris, May 2026

  May 24, 202629 minS0

  <p>Slava Tikhonov, Head of AI at CODATA, joins Alexy Khrabrov in Paris to discuss the semantic layer needed for reliable AI.</p><p><br></p><p>Video</p><p><br></p><p>Blog</p><p><br></p><p>The conversation explores how standards such as Croissant, CDIF, DIDs, verifiable credentials, and ODRL can help AI systems find trusted data, understand provenance, enforce policies, and reduce non-determinism. Tikhonov explains how signed question-answer pairs, knowledge graphs, temporal versioning, and multilingual vocabularies can support reproducible AI for science, open compute, and enterprise deployments.</p><p><br></p><p>Topics: CODATA, reliable AI...

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  Chief Scientist

  Chief Scientist: Sir Timothy Gowers, GOSIM Paris 2026

  May 24, 202623 minS0

  <p>Sir Timothy Gowers joins Alexy Khrabrov at GOSIM AI Paris to discuss mathematics, AI, and the future of proof.</p><p><br></p><p>Video</p><p><br></p><p>Blog</p><p><br></p><p>Gowers explains why his Cambridge group studies automatic theorem proving not only as prompt engineering, but as a way to understand how humans solve mathematical problems. The conversation covers humane mathematical explanation, Lean and proof assistants, auto-formalization, AI systems checking journal proofs, the role of human judgment, and why people who deeply understand mathematics may have an even greater advantage as AI tools...

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  Chief Scientist

  Chief Scientist: Yann LeCun on a new Global AI Model, Paris 2026

  May 24, 202614 minS0

  <p>Yann LeCun discusses Tapestry, an open source AI initiative aimed at giving countries, regions, institutions, and communities a way to collaboratively train frontier models without pooling private data.</p><p><br></p><p>Video</p><p><br></p><p>Blog</p><p><br></p><p>In this conversation with Alexy Khrabrov in Paris, LeCun explains why AI sovereignty will require open source collaboration, federated training, diverse local data, and broad participation from governments, universities, companies, and individual contributors. He also clarifies his position on LLMs: they are clearly useful for coding, math, and information access, but he does not...

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  Chief Scientist

  Learning Rust from Custom-Made Books

  May 24, 202614 minS0

  <p>The new way of learning is in-domain, working with AI to both build a codebase you care about and the books that describe it and teach you the technology AI has co-authored. In this episode we build a meetup graph scraper in Rust and load it into three modern multimodal agentic databases, Falkor, Helix and Surreal. We ask Codex and Claude to write books about them, illuminating various Rust features and design decisions. Then we read the beautifully made PDFs in redwood groves, on mountaintops, and by the beach!</p>

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