https://video.ut0pia.org/videos/watch/25767e05-72ec-495f-a591-7636400a368c Sandboxes unleash agents by giving them secure, fully functional computers where they can tackle diverse tasks with minimal setup. This talk explores the architectural challenges of building an agent sandbox cloud. We compare runtime isolation technologies and their trade-offs, examine persistence and storage as the next major unlock for agent capabilities, and discuss the key decisions involved in orchestrating and scaling sandboxes. Abhishek Bhardwaj works on Agent and Reinforcement Learning Infrastructure at OpenAI. He builds systems that enable large-scale model training in RL environments, as well as secure and scalable cloud sandboxes for OpenAI’s agents. Before joining OpenAI, he created Arrakis, an open-source sandbox for AI agents. Previously, he worked at Google on ChromeOS and foundational microVM technologies, and at Replit on core infrastructure and early versions of Replit Agent. Tue, 14 Jul 2026 19:57:30 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/25767e05-72ec-495f-a591-7636400a368c All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.