Latent Space: The AI Engineer Podcast
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
Latest Episode
Previous Episodes
- ⚡ Inside GitHub’s AI Revolution: Jared Palmer Reveals Agent HQ & The Future of Coding Agents
- ⚡ [AIE CODE Preview] Inside Google Labs: Building The Gemini Coding Agent — Jed Borovik, Jules
- Priscilla Chan and Mark Zuckerberg: Frontier AI + Virtual Biology To Solve All Diseases
- ⚡️ Ship AI recap: Agents, Workflows, and Python — w/ Vercel CTO Malte Ubl
- The Agents Economy Backbone - with Emily Glassberg Sands, Head of Data & AI at Stripe
- Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever
- Taste is your Moat (Dylan Field of Figma)
- Amp: The Emperor Has No Clothes
- Context Engineering for Agents - Lance Martin, LangChain
- A Technical History of Generative Media
- Better Data is All You Need — Ari Morcos, Datology
- Long Live Context Engineering - with Jeff Huber of Chroma
- Greg Brockman on OpenAI's Road to AGI
- The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- AI is Eating Search
- Cline: the open source coding agent that doesn't cut costs
- Personalized AI Language Education — with Andrew Hsu, Speak
- AI Video Is Eating The World — Olivia and Justine Moore, a16z
- Information Theory for Language Models: Jack Morris
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