{"podcast":{"title":"Latent Space: The AI Engineer Podcast","slug":"latent-space-ai-engineer","podcast_index_feed_id":6058902,"rss_url":"https://api.substack.com/feed/podcast/1084089.rss","website_url":"https://www.latent.space/podcast","image_url":"https://substackcdn.com/feed/podcast/1084089/ca7468da5614a246d2906ee8926f6de7.jpg","author":"Latent.Space","episode_count":204,"summary":"The AI Engineer newsletter + Top technical AI podcast. How leading labs build Agents, Models, Infra, & AI for Science. See https://latent.space/about for highlights from Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!","last_synced_at":null,"page_url":"https://stenobird.com/podcast/latent-space-ai-engineer"},"episode":{"title":"Giving Agents Computers — Ivan Burazin, Daytona","slug":"giving-agents-computers-ivan-burazin-daytona","published_at":"2026-05-21T20:37:40+00:00","page_url":"https://stenobird.com/podcast/latent-space-ai-engineer/giving-agents-computers-ivan-burazin-daytona","show_page_url":"https://stenobird.com/podcast/latent-space-ai-engineer","url":"https://www.latent.space/p/daytona","audio_url":"https://api.substack.com/feed/podcast/198688585/e48f923a6fb4c7f822f1f5013a97c41d.mp3","summary":"Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets ! On the product side, everyone is getting Computer - Perplexity , Manus , Cursor , and so on. Meanwhile on the research side, agentic evals like TerminalBench and GDPVal are also assuming computer ( Harbor ). On both ends, the consolidating LLM OS stack has become a standard toolkit, and Daytona is one of a small set of AI Infra companies that are booming because of it. “The end of localhost” has been Ivan Burazin’s obsession for more than a decade. Something that is all too familiar… Long before agents became the default way people talked about software development, Ivan was already chasing the idea that development should not depend on a fragile local machine . CodeAnywhere , one of the first browser-based IDEs, was an early attempt at that future: move the development environment into the cloud, make setup reproducible, and free developers from the endless “works on my machine” tax. The thesis was directionally right, but the market wasn’t ready yet.However, agents changed that. They do not care about a laptop, desk setup, or favorite editor. They need a computer they can access through an API: something stateful enough to keep working, fast enough to spin up instantly, flexible enough to resize, isolated enough to be safe, and composable enough to run the messy real-world workflows that real software engineering actually requires.Daytona isn’t just selling “sandboxes” in the narrow code-execution sense. It is the latest version of Ivan’s original localhost thesis . In this episode, Daytona’s CEO joins swyx to explain why AI agents need more than code execution boxes : they need composable computers, stateful sandboxes, instant startup, dynamic resources, and infrastructure that can surv…","meta_description":"Take the 2026 AI Engineering Survey and get >$2k in credits and AIE WF tickets ! On the product side, everyone is getting Computer - Perplexity , Manus ,…","key_points":[],"chapters":[],"topics":[],"duration_seconds":4227,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/latent-space-ai-engineer/episodes/giving-agents-computers-ivan-burazin-daytona/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/latent-space-ai-engineer/giving-agents-computers-ivan-burazin-daytona.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}