Curated episodes from the best AI-focused podcasts. Click any button to listen on your preferred platform.
Kevin Roose and Casey Newton break down GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro — analyzing what the latest capabilities mean for knowledge workers across professions. Practical analysis beyond benchmark numbers, with real examples from professionals who are already adapting.
Chamath, Jason, Sacks, and Friedberg debate the competitive dynamics between OpenAI, Anthropic, Google, and Meta. Capital allocation, talent wars, and which company's strategy is most likely to dominate. Includes regulatory implications.
A technical but accessible deep dive into where AI research is heading. Covers reasoning capabilities, multimodal models, and the gap between benchmarks and real-world performance. Includes discussion of AI safety research and alignment progress.
a16z partners share proprietary data from their portfolio companies on enterprise AI adoption rates, ROI metrics, and the specific use cases delivering measurable value. Cuts through the noise with hard numbers from real deployments.
A deep dive into how product managers at leading tech companies are integrating AI into their daily workflows, from user research to PRD writing to competitive analysis. Specific tools, prompts, and before/after examples included.
A comprehensive comparison of ChatGPT Plus, Claude Pro, Gemini Advanced, and Perplexity Pro. Which subscriptions are actually worth $20/month and for what use cases. Includes a decision framework based on profession and primary needs.
Chris Benson and Daniel Whitenack discuss practical techniques for building AI workflows that maintain quality over time. Error handling, validation, human oversight patterns, and monitoring strategies for production AI systems.
A breakdown of the current AI regulatory landscape in the US and EU. Kevin and Casey explain what's being enforced now, what's coming in the next 12 months, and how businesses should prepare. Includes a practical compliance checklist for small and medium companies.
The founders of Cursor tell Guy Raz how they built the most popular AI-native code editor from scratch — forking VS Code, raising $400M, and competing against GitHub Copilot. How a small team created a product developers actually switched to.
Two founders share exactly how they use AI in their businesses — from customer support to content creation to product development. Specific tools and prompts included. Sam and Shaan keep it real about what actually saves time vs what's just hype.
The full story of Anthropic — from Dario Amodei's departure from OpenAI to building a $60B AI safety company. Ben and David cover the founding, Constitutional AI development, business strategy, and why Anthropic's approach to safety may be the most commercially viable.
OpenAI, Anthropic, Google, and Meta are spending billions but none are profitable on AI alone. Kevin and Casey analyze the business model strategies, subscription economics, and which approach is most likely to build a sustainable business.
The four investors disagree on AI regulation — from Sacks' anti-regulation stance to Chamath's nuanced take on safety requirements. Covers California's SB 1047, the EU AI Act enforcement timeline, and what it means for startups vs incumbents.
Interview with operations leaders who have successfully implemented AI workflows across their organizations — what worked, what failed, and the surprising lessons learned. Concrete frameworks for evaluating and deploying AI tools at team scale.
Deep dive into the emerging AI agent ecosystem — autonomous systems that can plan, execute, and iterate. Covers frameworks like LangChain, CrewAI, and Claude's tool use. Practical advice for developers building agent-powered products.
The Verge team evaluates Apple Intelligence after six months of real-world use. What features actually work, what's still missing, and how it compares to Google and Samsung's on-device AI. Honest assessment of where Apple stands in the AI race.
Deep dive into why AI models hallucinate, what's being done about it, and how professionals should calibrate their trust in AI outputs. Includes practical frameworks for verification and cross-checking that any professional can use immediately.
Real numbers on cost savings and productivity gains from founders who replaced traditional tools with AI workflows. Covers customer support automation, content generation, financial analysis, and hiring workflows. Honest about failures too.
Aravind Srinivas shares how Perplexity went from a Stanford research project to a $9B AI search company. The technical breakthrough of citation-backed AI answers, the growth strategy that reached 40M users, and why Google is worried.
Retrieval-Augmented Generation is the most important AI architecture pattern for enterprises. This episode covers real production RAG systems — what breaks, how to measure quality, and the chunking strategies that actually work.
How NVIDIA went from gaming GPUs to controlling the most critical infrastructure in AI. The technical decisions, strategic partnerships, and business model innovations that made Jensen Huang's company worth $3 trillion.
Is AI overhyped or underhyped? The besties analyze $200 billion in AI investments, separating real revenue growth from speculative positioning. Includes their personal AI investment portfolios and predictions for the next 12 months.
When should your product build AI features natively vs integrate third-party AI vs buy an AI-powered tool? Lenny interviews three PMs who made different choices and the trade-offs they encountered.
Interview with Anthropic researchers about Constitutional AI — the training methodology behind Claude. How it differs from RLHF, why it produces less sycophantic responses, and what it means for the future of AI safety. Technical depth with clear explanations.