Jan 21
Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase
Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for extended periods. Harrison breaks down the evolution from early scaffolding approaches to today's harness-based architectures, ... Show More
39m 47s
Jan 6
Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
Physical Intelligence’s Karol Hausman and Tobi Springenberg believe that robotics has been held back not by hardware limitations, but by an intelligence bottleneck that foundation models can solve. Their end-to-end learning approach combines vision, language, and action into mode ... Show More
1h 1m
Nov 2024
AI and the Future of Math, with DeepMind’s AlphaProof Team
In this week’s episode of No Priors, Sarah and Elad sit down with the Google DeepMind team behind AlphaProof, Laurent Sartran, Rishi Mehta, and Thomas Hubert. AlphaProof is a new reinforcement learning-based system for formal math reasoning that recently reached a silver-medal st ... Show More
39m 21s
Aug 2024
The Zoom Election + Google DeepMind's Math Olympiad + HatGPT! Olympics Edition
<p>This week, with hundreds of thousands of people joining online political rallies for Kamala Harris, we discuss whether 2024 is suddenly becoming the Zoom election, and what that means for both parties’ political organizing. Then, Pushmeet Kohli, a computer scientist at Google ... Show More
1h 1m
Jun 2025
Alexandr Wang: Building Scale AI, Transforming Work with Agents & Competing With China
Alexandr Wang started Scale AI to help machine learning teams label data faster.It started as a simple API for human labor, but behind the scenes, he was tackling a much bigger problem: how to turn messy, real-world data into something AI could learn from. Today, that early idea ... Show More
1h 1m
Feb 2025
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic)
<p><strong>Karina Nguyen </strong>leads research at OpenAI, where she’s been pivotal in developing groundbreaking products like Canvas, Tasks, and the o1 language model. Before OpenAI, Karina was at Anthropic, where she led post-training and evaluation work for Claude 3 models, c ... Show More
1h 14m
Oct 13
Evals, error analysis, and better prompts: A systematic approach to improving your AI products | Hamel Husain (ML engineer)
Hamel Husain, an AI consultant and educator, shares his systematic approach to improving AI product quality through error analysis, evaluation frameworks, and prompt engineering. In this episode, he demonstrates how product teams can move beyond “vibe checking” their AI systems t ... Show More
54m 48s
Apr 2024
Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast]
Companies of all sizes in every industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide them a competitive edge. They want to provide efficiencies and improve ROI in today’s competitive landscape. As a res ... Show More
13m 4s
Jul 2025
Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann
Benjamin Mann is a co-founder of Anthropic, an AI startup dedicated to building aligned, safety-first AI systems. Prior to Anthropic, Ben was one of the architects of GPT-3 at OpenAI. He left OpenAI driven by the mission to ensure that AI benefits humanity. In this episode, Ben o ... Show More
1h 14m
Oct 30
Inside The MIT AI Study Everyone Misunderstood (And What It Means For Startups)
MIT's new State of AI in Business report went viral for claiming that 95% of enterprise AI projects fail. But the real story isn't that AI doesn't work — it's just big companies can't build it.In this episode of the Lightcone, Garry, Harj, Diana, and Jared break down what the stu ... Show More
21m 43s
In just two months, a scrappy three-person team at OpenAI sprinted to fulfill what the entire AI field has been chasing for years—gold-level performance on the International Mathematical Olympiad problems. Alex Wei, Sheryl Hsu and Noam Brown discuss their unique approach using general-purpose reinforcement learning techniques on hard-to-verify tasks rather t ... Show More
<p>You're smart. You know your business cold. But do you know how to build the right AI team? It's harder than it looks, and the old innovation playbook just won't cut it.</p> <p>Pete Buer sits down with Ben Hafele, CEO of <a href= "https://leanstartup.co/" target="_blank" rel="n ... Show More
