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Y Combinator · Business

Y Combinator

Episodes

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Good News For Startups: Enterprise Is Bad At AI

30 Oct 2025
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Don't Just Check Off Boxes

29 Oct 2025
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From Idea to $650M Exit: Lessons in Building AI Startups

28 Oct 2025
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The Hard Part About Being Contrarian

24 Oct 2025
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Transformers Explained: The Discovery That Changed AI Forever

23 Oct 2025AI processed

The podcast episode traces the historical development of the Transformer architecture, which underpins modern AI systems like ChatGPT. It begins by explaining the Transformer's function in modeling data relationships and generating outputs, then delves into three key precursors: Long Short-Term Memory (LSTM) networks, ...

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The Decisions That Make Or Break Startups

21 Oct 2025
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The Line Between Software and Service

20 Oct 2025
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How To Be Contrarian — And Right

17 Oct 2025
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What Everyone Is Getting Wrong About AI And Jobs

14 Oct 2025
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The World's First Commercial Mobile Carbon Capture Device

09 Oct 2025
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The Shortcut Rule

08 Oct 2025
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Every AI Founder Should Be Asking These Questions

07 Oct 2025
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The 7 Most Powerful Moats For AI Startups

03 Oct 2025
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How To Train An LLM with Anthropic's Head of Pretraining

30 Sep 2025AI processed

In this interview, Nick Joseph, Head of Pre-training at Anthropic, discusses the basics of pre-training AI models, Anthropic's strategies concerning data, alignment, and infrastructure, and how advances in AI directly result from progress in pre-training. Nick shares his background, including his time at Vicarious and ...

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Early Decision for Students

24 Sep 2025
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Now Is The Best Time To Build In Crypto

23 Sep 2025
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Don’t Be Afraid to Talk About Price

19 Sep 2025
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Aaron Levie: Why Startups Win In The AI Era

16 Sep 2025
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"Startups only exist to find product-market fit."

14 Sep 2025
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The Future of Software Creation with Replit CEO Amjad Masad

12 Sep 2025AI processed

The podcast features a speaker discussing the future of software development, particularly focusing on the role of AI agents and Replit's vision. The speaker envisions a shift towards generalist employees and a future where application software costs approach zero, with AI agents handling many tasks. The latter part of...

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