The AI Podcast
NVIDIA
Short summaries of the latest episodes: the main point, the takeaways and the chapters with timestamps.
A short recap of every new episode, by email. Free for up to 5 shows.
Latest episodes
- Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300
This podcast episode features Elaine Wu and Eric Pan from Seed Studio discussing the evolution and future of open robotics. They highlight the importance of accessibility, open-source hardware, and the convergence of AI with robotics. The conversation covers Seed Studio's products, partnerships, and their vision for enabling a world where everyone can create and customize robots for their specific needs.
- Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299
In this episode of the Nvidia AI Podcast, Noah Kravitz interviews Shruti Koparkar about tokenomics in AI. They define tokenomics as the valuation, supply, demand, and monetization of tokens, emphasizing the importance of aligning AI infrastructure decisions with business goals. The discussion covers token utility, the impact of model intelligence and interactivity on token value, and strategies for optimizing token supply and demand. They also discuss extreme co-design and the critical role of software in maximizing token throughput and reducing costs. The episode concludes with practical advice for business leaders on implementing tokenomics in their organizations.
- Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298
In this episode of the NVIDIA AI Podcast, Noah Kravitz interviews Prudhvi Vatnala from Snap about how they accelerated their data processing pipeline using NVIDIA technology on Google Cloud. They discuss the challenges of processing massive amounts of data, the importance of AB testing, and the benefits of leveraging idle GPU capacity. Prudhvi highlights the significant cost savings and performance improvements achieved through their partnership with NVIDIA and Google Cloud, and the impact on Snap's future roadmaps for data and AI.
- Harrison Chase of LangChain on Deep Agents, LangSmith, and Earning Trust | NVIDIA AI Podcast Ep. 297
In this episode of the NVIDIA AI Podcast, Harrison Chase, CEO and co-founder of LangChain, discusses the evolution of LLMs and agentic systems. He covers the genesis of LangChain, the concept of deep agents, the importance of observability and evaluation, and the future of agents. Harrison also shares insights on mixing frontier and open models, the impact of Open Claw, and LangChain's involvement with the NVIDIA NeMoTron Coalition.
- How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296
In this episode of the NVIDIA AI Podcast, Noah Kravitz interviews Nicolas Souryier from Dassault Systèmes about the next generation of agentic AI systems. They discuss industry world models, virtual companions, and the underlying technologies, highlighting the partnership between Dassault Systèmes and NVIDIA. The conversation covers the principles behind these systems, how they differ from traditional AI, and the future vision of autonomous, proactive virtual companions.
Summary by InboxHiive. Not affiliated with The AI Podcast. Written with AI from the episode audio; check the episode for exact quotes.