Latent Space: The AI Engineer Podcast
swyx + Alessio
The podcast by and for AI Engineers! In 2024, over 2 million readers and listeners came to Latent Space to hear about news, papers and interviews in Software 3.0.We cover Foundation Models changing every domain in Code Generation, Multimodality, AI Agents, GPU Infra and more, directly from the founders, builders, and thinkers involved in pushing the cutting edge. Striving to give you both the definitive take on the Current Thing down to the first introduction to the tech you'll be using in the next 3 months! We break news and exclusive interviews from OpenAI, Anthropic, Gemini, Meta (Soumith Chintala), Sierra (Bret Taylor), tiny (George Hotz), Databricks/MosaicML (Jon Frankle), Modular (Chris Lattner), Answer.ai (Jeremy Howard), et al.Full show notes always on https://latent.space
Episodes
Mentioned books
26 snips
Dec 27, 2025 • 0sec
One Year of MCP — with David Soria Parra and AAIF leads from OpenAI, Goose, Linux Foundation
David Soria Parra, the lead core maintainer of the Model Context Protocol (MCP) at Anthropic, shares insights from MCP’s rapid ascent in the AI world. Joined by Nick Cooper from OpenAI and Jim Zemlin, CEO of the Linux Foundation, they discuss the journey from Thanksgiving hackathons to widespread enterprise adoption. The trio explores the design challenges of ensuring interoperability between agents, the decision to join the AAIF for neutral governance, and how MCP enhances agent capabilities while maintaining flexibility and security.
512 snips
Dec 26, 2025 • 0sec
Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE
Steve Yegge, a veteran software engineer known for his roles at Google and Amazon, dives deep into the future of coding. He argues that IDEs will soon be obsolete, pushing developers to orchestrate AI agents like NASCAR pit crews instead of writing traditional code. Steve warns against anthropomorphizing these agents, noting the risks they pose. He also discusses the growing challenge of merging in highly productive teams and predicts a world where multi-agent systems revolutionize code creation, likening it to a 'factory farming' approach.
245 snips
Dec 26, 2025 • 0sec
⚡️GPT5-Codex-Max: Training Agents with Personality, Tools & Trust — Brian Fioca + Bill Chen, OpenAI
Explore the revolutionary Codex Max, designed to work tirelessly for over 24 hours and manage code like a pro. Brian and Bill dive into the importance of training AI with personality and trust, making coding agents not only efficient but relatable. Discover how these tools develop preferences, like loving 'rg' over 'grep,' and learn about innovative evaluations that go beyond academics. They envision a future where coding agents enhance personal workflows and standardize high-level coding tasks across industries.
405 snips
Dec 18, 2025 • 0sec
SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
Nikhila Ravi leads the Segment Anything project at Meta, with Pengchuan Zhang contributing as a researcher specializing in vision models. They discuss the groundbreaking SAM 3, which enables concept segmentation using natural language prompts. The conversation dives into the impressive real-time performance, the massive SACO benchmark of over 200k concepts, and how SAM 3 revolutionizes data annotation—reducing time from two minutes to just 25 seconds. Joseph Nelson from Roboflow shares insights on real-world applications in fields like cancer research and the automation of complex visual reasoning.
462 snips
Dec 16, 2025 • 0sec
⚡️Jailbreaking AGI: Pliny the Liberator & John V on Red Teaming, BT6, and the Future of AI Security
Pliny the Liberator, a pioneering AI red-team researcher, and John V, co-founder of the BT6 white-hat hacker collective, dive into the world of AI security. They discuss the power of universal jailbreaks, which bypass guardrails, and critique the concept of security theater. Their conversation highlights the need for open-source data, real-world safety over model restriction, and the capabilities of segmented sub-agents in orchestrating attacks. From community-driven research to the tension between sharing and misuse, Pliny and John redefine what safety in AI can be.
642 snips
Dec 12, 2025 • 0sec
AI to AE's: Grit, Glean, and Kleiner Perkins' next Enterprise AI hit — Joubin Mirzadegan, Roadrunner
Joubin Mirzadegan, a venture investor and founder, dives into the intricacies of sales, pricing, and AI. He shares insights on building a CRO-focused podcast as a recruitment tool and how to make guests feel at ease in interviews. Joubin discusses the challenges of modern CPQ systems, the necessity of establishing strong design partnerships, and the potential of LLMs in simplifying complex pricing workflows. With his new venture, Roadrunner, he aims to revolutionize quoting processes for enterprises while navigating the intricacies of go-to-market strategies.
886 snips
Dec 11, 2025 • 0sec
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loïc Houssier
Loïc Houssier, CTO of Superhuman Mail and former security researcher, shares insights on integrating AI into email without latency. He discusses the evolution of email tools, focusing on productivity-enhancing features like auto-labels and smart summaries. Loïc explains the importance of agentic search, the balance between cost and quality in AI models, and the future of inboxes as personal advisors. He also emphasizes the necessity of engineering fundamentals in an AI-driven world, highlighting the competitive landscape against tools like ChatGPT.
608 snips
Dec 6, 2025 • 0sec
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
Pim DeWitte, the visionary Founder and CEO of General Intuition, shares his insights on the future of AI. He discusses turning down a $500M offer from OpenAI to focus on building world models using action-labeled game clips. Pim reveals how training on game highlights fosters superhuman abilities in AI agents, making them capable of real-time action predictions. He explains the importance of episodic memory in learning, and his ambitious goal for spatial-temporal models to revolutionize AI interactions by 2030.
580 snips
Nov 25, 2025 • 0sec
After LLMs: Spatial Intelligence and World Models — Fei-Fei Li & Justin Johnson, World Labs
Fei-Fei Li, a Stanford professor and AI leader, teams up with Justin Johnson, a researcher specializing in computer vision, to explore the future of spatial intelligence through their creation, Marble. They discuss how Marble generates editable 3D environments from text and images, revolutionizing fields like gaming and robotics. The duo highlights the unique capabilities of spatial data over traditional language models, examining its potential to enhance machine understanding of the physical world while advocating for open academic resources.
829 snips
Nov 19, 2025 • 0sec
⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex
Alex Lieberman, co-founder of Tenex and ex-Morning Brew strategist, teams up with Arman Hezarkhani, a technical founder who redefined engineering at Parthian. They discuss how shifting from hourly pay to compensation based on output (story points) has enabled unprecedented productivity in AI engineering. Arman shares insights on hiring top talent through rigorous, challenging interviews to ensure quality. Together, they explore the challenges of scaling AI-driven businesses and the potential for engineers to earn over $1 million by aligning their work with AI capabilities.
