The MAD Podcast: How AI Gets Built — with Matt Turck
Matt Turck
Episodes
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The Agent Harness: Building Secure Sandboxes for Autonomous AI Workloads
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OpenAI Board Member Zico Kolter on the Real Risks of Frontier AI
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Anthropic’s Felix Rieseberg: Claude Cowork, Mythos, and the SaaS Extinction
Recent AI models like Mythos demonstrate a dramatic step forward, especially in cybersecurity, highlighting AI's increasing capabilities and potential risks.
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AI is Already Building AI | Google DeepMind’s Mostafa Dehghani
Recursive self-improvement in AI is already underway, with models heavily leveraging previous versions to autonomously enhance their capabilities.
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Benedict Evans: OpenAI’s Moat Problem & the Future of Software
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Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain
The strongest advancements in AI agents are driven by improvements in infrastructure—harnesses, filesystems, sandboxes, and observability—more than just model capabilities.
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AI That Can Prove It’s Right: Verification as the Missing Layer in AI — Carina Hong
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Voice AI’s Big Moment: Why Everything Is Changing Now (ft. Neil Zeghidour, Gradium AI)
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Mistral AI vs. Silicon Valley: The Rise of Sovereign AI
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Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
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State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
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The End of GPU Scaling? Compute & The Agent Era — Tim Dettmers (Ai2) & Dan Fu (Together AI)
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Are AI Evals Broken? Anthropic/NYU’s Pavel Izmailov on LLM Evaluation, Reasoning & “Alien” Behavior
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DeepMind Gemini 3 Lead: What Comes After "Infinite Data"
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What’s Next for AI? OpenAI’s Łukasz Kaiser (Transformer Co-Author)
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Open Source AI Strikes Back — Inside Ai2’s OLMo 3 ‘Thinking"
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Intelligence Isn’t Enough: Why Energy & Compute Decide the AGI Race – Eiso Kant
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State of AI 2025 with Nathan Benaich: Power Deals, Reasoning Breakthroughs, Real Revenue
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Are We Misreading the AI Exponential? Julian Schrittwieser on Move 37 & Scaling RL (Anthropic)
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How GPT-5 Thinks — OpenAI VP of Research Jerry Tworek
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