AI 导读
Daytona CEO Ivan Burazin 在 latent.space 播客中解释 AI 智能体为何需要可组合计算机，并介绍 Daytona 从人类开发环境转向智能体沙箱的路径。访谈提到 60ms 沙箱、75 秒内 5 万个启动、每日 85 万次运行，RL 负载从 0% 升至约 50%。他还讨论了裸金属与有状态快照的重要性，以及 Kubernetes 在智能体规模下为何失效。
正文
🆕Daytona’s Agent-Native Compute: 60ms sandboxes, 50K startups in 75 sec, 850K daily runs, RL/evals, CLI > MCP, & the end of localhost latent.space/p/daytona
@daytonaio CEO @ivanburazin explains why AI agents need composable computers, how Daytona pivoted from human dev environments to agent sandboxes, why bare metal and stateful snapshots matter, how RL workloads went from 0% to ~50% of usage, why Kubernetes breaks down at agent scale, and why the AI cloud may look more like Stripe than AWS.
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来源：@latentspacepod · x.com