How Data Happened - A Conversation with Chris Wiggins, Author and Chief Data Officer at The New York Times

23 min•14 juni 2023

Om avsnittet

New York Times Chief Data Officer and Author of "How Data Happened" joins us for a conversation on the multifaceted impact data has had on our society.

Fler avsnitt

State of AI 2026: The Biggest Stories of the Year (and AGI in 2027?) | Nathan Benaich

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Mistral Is SO Back: Inside Le Chonk, the West’s Biggest Open Model (Pierre Stock, VP Science, Mistral)

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Jev: The AI That Makes Decisions, Not Text - and Why It Changes Everything (Diogo Almeida)

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The MAD Podcast: How AI Gets Built — with Matt Turck med Matt Turck finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.

How Data Happened - A Conversation with Chris Wiggins, Author and Chief Data Officer at The New York Times

Om avsnittet

Fler avsnitt

State of AI 2026: The Biggest Stories of the Year (and AGI in 2027?) | Nathan Benaich

Mistral Is SO Back: Inside Le Chonk, the West’s Biggest Open Model (Pierre Stock, VP Science, Mistral)

Jev: The AI That Makes Decisions, Not Text - and Why It Changes Everything (Diogo Almeida)

What Happens When Billions of AI Agents Hit Your Database? (Andy Pavlo)

AI Models Are Now Hiding Their Cheating | Eric Ho (Goodfire)

Who Feeds the GPUs? Inside AI's Hidden $30B Layer | Renen Hallak, VAST Data

When AI Improves Itself | Richard Socher (Recursive)

AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt

“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf

How to Build Long-Horizon AI Agents — Mitch Troyanovsky, Basis