The podcast by and for AI Engineers! In 2025, over 10 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 Sponsorship and business inquiries: [email protected] www.latent.space
This podcast interviews Maria and Ethan, founders of Bee AI, a personal AI system worn as a wristwatch or clip. The discussion covers Bee's functionality (always-on audio recording, transcription, summarization, and action capabilities via a virtual cloud phone), its origin story (including a previous attempt at perso...
This Latent Space podcast interviews Bret Taylor, CEO of Sierra and OpenAI board chairman, focusing on his engineering career and perspectives on the future of software development in the age of AI. The conversation begins with Taylor's background, including his work on Google Maps and the Facebook Like button, transi...
This podcast interviews Samuel Colvin, creator of Pydantic and Logfire, focusing on his newly launched Pydantic AI framework. The discussion covers Pydantic's origins, its unexpected adoption in the AI community, and the design choices behind Pydantic AI, including its use of type hints and graphs for building type-sa...
This interview podcast features Karina Nguyen, a research lead at OpenAI, discussing her work on improving user interaction with AI models like ChatGPT. The conversation covers her experience at Anthropic (where she wrote the initial code for Claude.ai), her current projects at OpenAI (including ChatGPT Canvas and Tas...
This interview podcast features William Beauchamp, founder of Chai Research, a consumer AI company. The podcast begins with an introduction highlighting Chai's rapid growth and success, reaching 1.4 million daily active users and $22 million in revenue. The interview then delves into Beauchamp's background in finance,...
This interview podcast features Amir Haghighat and Yineng Zhang from Baseten, a leading large language model (LLM) inference platform, discussing the newly released DeepSeek v3 model. The discussion begins with an overview of DeepSeek v3's capabilities and its ranking on the LM Arena leaderboard, highlighting its sign...
This interview podcast discusses the state of AI in 2025. The conversation begins with a broad overview of AI advancements in 2024, highlighting significant cost reductions and increased capabilities of large language models (LLMs) without a major leap in intelligence. The discussion then shifts to the surprising decr...
In this podcast, Will Bryk, CEO of Exa.ai, shares insights into his company's groundbreaking search technology. He discusses Exa.ai's journey and their innovative link prediction model, which anticipates the next link in a text sequence—similar to how transformer models predict the next token. Currently, Exa.ai is deve...
In this episode of the Latent Space podcast, we chat with Comfy Anonymous, the mind behind the popular open-source image generation tool, ComfyUI. The conversation explores how ComfyUI evolved from its origins, aimed at overcoming the limitations of Automatic1111's SD WebUI, to becoming a top choice for intricate image...
In this milestone 100th episode of the Latent Space Podcast, the hosts reflect on the journey over the past two years, paralleling the explosive growth in the AI engineering sector. They delve into significant trends from the NeurIPS conference, such as the shift towards inference-time computing, the increasing influen...
In this recap of the NeurIPS 2024 Latent Space LIVE! podcast, Professor Graham Neubig shares insights into the progress and hurdles facing Large Language Model (LLM) agents this year. He highlights how these agents are integrated into his work through three practical examples: data analysis, software development, and e...
This recap of NeurIPS 2024 highlights key developments in synthetic data and the emergence of smaller on-device models. The use of synthetic data has evolved from merely refining models post-training to creating entire training pipelines from scratch. While there were concerns about "model collapse" due to an overrelia...
This podcast recap highlights the latest advancements in alternative architectures to transformers for AI. Dan Fu and Eugene Cheah discussed the significant strides made since 2020, focusing on improvements in both quality and computational efficiency. Key developments include more systematic approaches to sequence mod...
The recap of the NeurIPS 2024 Latent Space Live mini-conference highlights the progress made in open-source large language models (LLMs) this year. Attendees noted a remarkable surge in both the quantity and capabilities of these models, fueled by community collaboration and the introduction of thorough "fully open" mo...
The Latent Space LIVE mini-conference at NeurIPS 2024 showcased the latest breakthroughs in computer vision. Speakers from Roboflow and Moondream discussed significant trends, such as the transition from per-image to video processing seen in models like Sora and SAM2. They also noted how DETR models are now outpacing Y...
In the keynote at NeurIPS 2024, Sarah Guo and Pranav Reddy from Conviction delve into the landscape of AI startups in 2024. They explore five major trends shaping the industry: a tighter competition in foundation models with a rise in open-source initiatives; a notable drop in intelligence costs; the rise of new modali...
In this episode of the Latent Space podcast, hosts Varun and Anshul from Codeium share their exciting journey from developing a VS Code extension to launching their own integrated development environment (IDE), Windsurf. They discuss how limitations in the VS Code API pushed them to create Windsurf, driven by their des...
In this episode of the Latent Space podcast, we dive into the highlights from the 2024 International Conference on Machine Learning (ICML), with a special focus on generative video models. We explore presentations on OpenAI's Sora, Google DeepMind's Genie, and VideoPoet, examining their strengths and weaknesses in prod...
In this episode of the Latent Space podcast, Eric Simons, CEO of StackBlitz, shares insights on the remarkable success of Bolt.new, a code generation tool that achieved an impressive $4 million in annual recurring revenue within its first month. Joining him is Itamar Friedman, CEO of Qodo, who updates listeners on his ...
In this podcast, Erik Schluntz from Anthropic discusses his work on SWE-Bench, a benchmark designed to evaluate coding agents and enhance the computer capabilities of large language models (LLMs). He explains how he created a streamlined agent framework that enables LLMs to autonomously tackle coding tasks, stressing t...
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