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
1,662 snips
May 29, 2025 • 0sec
The AI Coding Factory
Matan Grinberg and Eno Reyes, the co-founders of Factory.ai, delve into their journey of creating autonomous software engineering droids after meeting at a Langchain hackathon. They discuss the integration of AI in code generation and incident response, and the evolution of their platform's unique 'droids' concept. The duo shares insights on navigating AI challenges, user experience, and the significance of collaboration in tech. They also highlight how their innovations are reshaping development workflows for Fortune 500 companies.
976 snips
May 23, 2025 • 0sec
[AIEWF Preview] Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
Will Brown, the reasoning research lead at Prime Intellect, shares his insights on the latest advancements in multi-turn reasoning for LLM agents. He discusses his recent paper on turn-level credit assignment, shedding light on the importance of practical AI agent applications. The conversation covers challenges in model training, ethical dilemmas, and managing token budgets for efficient performance. Brown also speculates on the future of AI safety and the evolving capabilities of models like Claude 4, diving into their real-world implications and complexities.
2,473 snips
May 16, 2025 • 0sec
ChatGPT Codex: The Missing Manual
Josh Ma, a core developer on the ChatGPT Codex team at OpenAI, and Alexander Embiricos, a member leading Codex testing, dive into the origins and future of Codex, the Autonomous Software Engineer. They discuss the shift from traditional pair programming to AI collaboration, exploring best practices for integrating AI in coding. The conversation also touches on balancing control and trust with AI outputs, understanding task durations, and the evolving user experience. They emphasize the significance of user feedback for future enhancements and the complexities of pricing in AI tools.
2,240 snips
May 7, 2025 • 0sec
Claude Code: Anthropic's CLI Agent
Boris Churny, Lead Engineer for Claude Code, and Kat Wu, PM at Anthropic, dive into the cutting-edge world of AI developer tools. They discuss the evolution of Claude Code as a Unix utility that embraces simplicity and user feedback. Listeners learn about its unique command-line functionalities, the balance between AI automation and human coding, and the importance of safety in AI writing tasks. The duo also explores future trends in AI development, highlighting the pressure on developers to adapt to new tech landscapes.
1,836 snips
May 1, 2025 • 0sec
⚡️The Rise and Fall of the Vector DB Category
Jo Kristian Bergum, a seasoned search infrastructure expert with two decades at Yahoo and Fast Search & Transfer, dives deep into the evolution of vector databases. He discusses the surge in vector database popularity post-ChatGPT and the misconceptions surrounding embedding-based similarity search. The conversation explores the dynamic interplay between traditional search methods and embedding techniques. Additionally, Joe sheds light on the future of retrieval-augmented generation and the importance of knowledge graphs in AI development.
1,362 snips
Apr 24, 2025 • 0sec
Why Every Agent needs Open Source Cloud Sandboxes
Vasek Mlejnsky, a visionary from E2B, joins to share insights on building secure cloud sandboxes for AI agents. He discusses the rapid growth of E2B and its adoption by major companies. The conversation dives into the unique challenges posed by early LLMs and the advantages of cloud environments for AI. Vasek highlights practical use cases like code execution and data analysis, while also addressing the shifting landscape of AI frameworks and billing models. His thoughts on future advancements and multi-modality in AI are particularly intriguing.
1,403 snips
Apr 15, 2025 • 0sec
⚡️GPT 4.1: The New OpenAI Workhorse
Michelle Pokrass and Josh McGrath from OpenAI dive into the exciting updates of GPT 4.1. They discuss its enhanced coding capabilities and instruction-following features, making it a developer's new best friend. The conversation touches on the innovative Nano model designed for low latency, and they share the fun of naming projects. With insights into pricing and user interaction, they emphasize the significance of community feedback in evolving AI technology. Plus, get ready for the intriguing benefits of multimodal tasks and cutting-edge reasoning enhancements!
539 snips
Apr 11, 2025 • 0sec
SF Compute: Commoditizing Compute
Evan Conrad shares the riveting journey of SF Compute, revealing how they turned financial struggles into opportunities by selling GPU clusters. The discussion dives into the intriguing dynamics of the GPU market, highlighting the unexpected parallels between GPU finances and real estate models. They'll explore the implications of increasing GPU commoditization, customer pricing sensitivity, and the role of long-term contracts in profitability. Additionally, learn about the innovative branding strategies aimed at promoting calmness in tech, alongside the complexities of email innovation.
1,737 snips
Apr 3, 2025 • 0sec
The Creators of Model Context Protocol
In this discussion, David Soria Parra and Justin Spahr-Summers, creators of Anthropic’s Model Context Protocol (MCP), reveal how MCP has swiftly emerged as a leading standard in AI integration, overtaking established protocols in popularity. They share the origin story of MCP, the innovative challenges faced during its development, and the profound impact it has on enhancing communication between AI models. Listeners can also explore exciting prospects of open-source governance, the shift from stateful to stateless server models, and the future of AI functionalities through MCP.
239 snips
Mar 29, 2025 • 0sec
Unsupervised Learning x Latent Space Crossover Special
Dive into the rapid evolution of AI as experts reflect on the past year's surprises and the race between open-source and closed-source models. Explore the impact of AI builders and the rise of low-code platforms. Delve into the significance of product-market fit and customer support in AI applications. Discover the challenges of innovation and the importance of defensibility in app development. Plus, hear insights on emerging trends and the critical role of community engagement in shaping the future of technology.
