The Superintelligence Podcast

In this episode, Kim Isenberg sits down with NVIDIA’s Sam Stanwyck at ISC to discuss one of the most misunderstood frontiers in technology: quantum computing. Sam leads NVIDIA’s quantum computing product team, where he focuses on how accelerated computing, GPUs, AI, and software tools like CUDA-Q can help move quantum computing from research toward practical applications. The conversation explores...

Description: In this exclusive Superintelligence interview, Kim Isenberg and Peter Thum sit down with Akshay Kothari, Co-Founder of Notion, to discuss how Notion is evolving from a notes and productivity app into an agent-first workspace. The conversation explores how humans, custom code, and AI agents could soon collaborate side by side inside the same operating layer for work. Akshay explains wh...

In this exclusive interview from Google I/O, I speak with Omar Sanseviero and Paige Bailey from Google DeepMind about the rapidly evolving AI landscape. We discuss the rise of local models, the growing importance of open source and open models, the role of developer communities, and how global competition — especially from China — is shaping the next phase of artificial intelligence. A conversatio...

In this episode, Superintelligence Editor-in-Chief Kim Isenberg speaks with Zeev Farbman , CEO and co-founder of Lightricks/LTX , about the future of AI video, open foundation models, and local creative workflows. Farbman explains why LTX is betting on open weights, local inference, and efficient models optimized for Nvidia GPUs — and why closed API models may be a long-term problem for developers...

Every company has a scheduling problem. Most just don't know how expensive it is. The coordination tax on mid-market companies runs up to $4,500 per employee per year, and up to 70% of inbound leads never even make it to a booked meeting. In this episode, Superintelligence Editor-in-Chief Kim sits down with SkipUp co-founders Dheer and Sasha to unpack why scheduling is still fundamentally broken i...

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 th...

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.