The Superintelligence Podcast

Kim Isenberg & Peter Thum
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The people building the AI future — unfiltered. We sit down regularly to talk with founders, researchers, and operators actually doing it. No hype. Real conversations about what’s working, what’s breaking, and what’s coming next. From frontier labs to startups. This is Superintelligence. 

Episodios

  1. 28 ABR

    Beyond LLMs: How Large Quantitative Models Are Curing Diseases and Reinventing Materials

    LLMs predict the next word. LQMs predict the physical world. In this episode, Kim sits down with Nadia Harhen, General Manager of AI Simulation at SandboxAQ — a company that spun out of Google's Moonshot Factory, raised over $950 million, and counts NVIDIA and Google among its investors. Nadia explains what Large Quantitative Models (LQMs) are, how they differ from the LLMs we all know, and why they could be the key to inventing new drugs, designing next-generation batteries, and tackling problems like rare genetic diseases and environmental waste. We talk about her journey from bench scientist at Johnson & Johnson to clearing cutting-edge AI medical devices to leading one of the most ambitious AI simulation teams in the world. We discuss SandboxAQ's work with Aramco on turning waste into valuable materials, why no AI-designed drug has passed Phase II clinical trials yet, and what breakthroughs she expects in the next five years. If you think AI is just about chatbots and text generation, this episode will change your mind. Topics covered: — What are Large Quantitative Models (LQMs) and how do they work? — LQMs vs. LLMs: Why language models can't invent new drugs — SandboxAQ's origin inside Google's Moonshot Factory — Drug discovery, battery chemistry, and catalysis breakthroughs — The case for rare genetic diseases — Why NVIDIA and Google are betting big on this technology Guest: Nadia Harhen — GM of AI Simulation, SandboxAQ Previously: Google, Johnson & Johnson | Harvard Medical School

    20 min

  2. 14 ABR

    Inside Nemotron: NVIDIA’s Kari Briski on the Architecture Reshaping Enterprise AI

    NVIDIA’s Kari Briski joins Kim Isenberg live from GTC 2026 to break down Nemotron 3 Super — a 120B parameter model with a hybrid Mamba-2/Transformer/MoE architecture, 1M token context, and 5x throughput gains. They go deep on what makes it different, why NVIDIA released the full training recipe, and what the new Nemotron Coalition signals about where enterprise AI is heading.

    19 min
  • 2 episodios

Información

The people building the AI future — unfiltered. We sit down regularly to talk with founders, researchers, and operators actually doing it. No hype. Real conversations about what’s working, what’s breaking, and what’s coming next. From frontier labs to startups. This is Superintelligence. 

Ficha técnica

  • Creado por
    Kim Isenberg & Peter Thum
  • Años en activo
    2 mil
  • Episodios
    2
  • Clasificación
    Apto
  • Derechos de autor
    © 2026 Kim Isenberg & Peter Thum
  • Sitio web del podcast
    The Superintelligence Podcast
  • Proveedor

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