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Matt Turck · Technology

The MAD Podcast: How AI Gets Built — with Matt Turck

The MAD Podcast with Matt Turck goes deep with the people building AI. Each week, Matt talks with top founders, researchers, and leaders about frontier models, agents, infrastructure, and the companies defining the AI economy. Guests include leaders from OpenAI, Anthropic, Google DeepMind, Hugging Face, Vercel, LangChain, Cloudflare, Snowflake, Datadog, Cerebras, and more. Matt is a General Partner at FirstMark, a prolific investor in AI and the creator of the MAD Landscape, the industry’s reference map of the AI ecosystem. New episodes weekly. Transcripts and more at mattturck.com/podcast.

Episodes

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AI is Already Building AI | Google DeepMind’s Mostafa Dehghani

02 Apr 2026
1h 4m
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The podcast explores the concept of recursive self-improvement (RSI) in AI, where AI autonomously builds the next generation of AI. Mostafa Dehghani, a top AI researcher at Google DeepMind, explains that this process is already underway in many labs, with new models being built using previous generations. A key challen...

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Benedict Evans: OpenAI’s Moat Problem & the Future of Software

19 Mar 2026
1h 1m
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The podcast explores the strategic challenges facing OpenAI and the broader implications of AI for software development and business models. It questions whether foundation models can achieve winner-takes-all status due to the ease of replication and the high costs involved, unlike traditional software with network eff...

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Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain

12 Mar 2026
46m
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Harrison Chase, co-founder and CEO of LangChain, discusses the evolution of AI agents, highlighting the shift from early models to today's more sophisticated systems. He emphasizes the importance of the "harness," which dictates how a model interacts with its environment, including tools for file editing and code execu...

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The AI That Beat the World’s Hardest Math Test (Putnam 2025) — Carina Hong

26 Feb 2026
1h 3m
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Voice AI’s Big Moment: Why Everything Is Changing Now (ft. Neil Zeghidour, Gradium AI)

19 Feb 2026
1h 22m
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Mistral AI vs. Silicon Valley: The Rise of Sovereign AI

12 Feb 2026
58m
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Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”

05 Feb 2026
1h 16m
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The conversation centers on the evolving landscape of AI hardware, geopolitical implications, and the future of AI model development. Semianalysis' Dylan Patel provides insights into NVIDIA's acquisition of Grok, interpreting it as a strategic move to cover diverse AI model architectures amidst increasing specializatio...

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State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka

29 Jan 2026
1h 8m
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The End of GPU Scaling? Compute & The Agent Era — Tim Dettmers (Ai2) & Dan Fu (Together AI)

22 Jan 2026
1h 4m
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The debate over AGI centers on the tension between physical computational limits and the potential for massive scaling. Tim Dettmers contends that hardware is hitting diminishing returns, constrained by the von Neumann bottleneck and the physical limits of memory movement and precision. Conversely, Dan Fu posits that m...

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Epiplexity, Reasoning & the “Alien” Behavior of LLMs — Pavel Izmailov

15 Jan 2026
45m
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DeepMind Gemini 3 Lead: What Comes After "Infinite Data"

18 Dec 2025
54m
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In this episode of The MAD Podcast, Matt Turck interviews Sebastian Bourgeaud, pre-training lead on Gemini 3 at Google DeepMind, about the architecture and capabilities of Gemini 3, the shift from a data-unlimited to a data-limited regime, and the organization of research teams at DeepMind. Bourgeaud discusses the incr...

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What’s Next for AI? OpenAI’s Łukasz Kaiser (Transformer Co-Author)

26 Nov 2025
1h 5m
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In The MAD Podcast, Matt Turck interviews Lukasz Kaiser, a key figure in modern AI and one of the inventors of the transformer architecture. They discuss the exponential progress of AI, the shift towards reasoning models, and the misconception that AI development is slowing down. Lukasz explains that while pre-training...

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Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"

20 Nov 2025
1h 28m
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The release of the OLMo 3 model family marks a significant effort by the Allen Institute for AI (AI2) to provide a fully transparent, open-source alternative to proprietary models. This release includes base, instruction-tuned, and reasoning models, accompanied by the complete training data, recipes, and intermediate c...

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Intelligence Isn’t Enough: Why Energy & Compute Decide the AGI Race – Eiso Kant

06 Nov 2025
1h 6m
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State of AI 2025 with Nathan Benaich: Power Deals, Reasoning Breakthroughs, Real Revenue

30 Oct 2025
1h 3m
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Are We Misreading the AI Exponential? Julian Schrittwieser on Move 37 & Scaling RL (Anthropic)

23 Oct 2025
1h 9m
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In this episode of The MAD Podcast, Matt Turck interviews Julian Schrittwieser, a prominent AI researcher from Anthropic, about the exponential progress of AI. They discuss the common misunderstanding of AI's trajectory, comparing it to the early stages of COVID, and Julian's predictions for AI capabilities in 2026 and...

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How GPT-5 Thinks — OpenAI VP of Research Jerry Tworek

16 Oct 2025
1h 16m
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In this episode of The MAD Podcast, Matt Turck interviews Jerry Tworek, VP of Research at OpenAI, about the evolution of AI reasoning models. They discuss the concept of reasoning in AI, particularly the "chain of thought" process, and how models decide how long to "think" to balance result quality and user experience....

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Sonnet 4.5 & the AI Plateau Myth — Sholto Douglas (Anthropic)

02 Oct 2025
1h 10m
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In this episode of The MAD Podcast, Matt Turck interviews Sholto Douglas, a leading AI researcher at Anthropic, about the release of Claude Sonnet 4.5, now considered the best coding model. They discuss the rapid pace of AI releases, the differences between Anthropic's Opus, Sonnet, and Haiku models, and Sholto's journ...

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Goodbye Excel? AI Agents for Self-Driving Finance – Pigment CEO

11 Sep 2025
1h 5m
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AI Video’s Wild Year – Runway CEO on What’s Next

04 Sep 2025
1h 4m
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