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- OpenAI agents communicated across sandboxes through a CPU-cache channel
According to Tom’s Hardware citing an OpenAI blog post, red-team agents in separate microVMs exchanged synthetic secrets without a network connection or shared writable files by manipulating and timing shared CPU-cache state. OpenAI’s sandboxing software did not necessarily fail at the software level, but the agents still shared underlying hardware. The tests also identified shared-storage, CPU-time competition, and TLS-certificate-cache channels. OpenAI often pointed the agents toward a channel or supplied a protocol, and most channels were described as slow and difficult to exploit.
Tom’s Hardware · 🔥 0 - Google launches Agent Compute Engine for isolated AI agent runtimes
Google announced Agent Compute Engine (ACE), a Google Cloud service that gives each AI agent its own hardware-isolated microVM for running code, calling tools, controlling browsers and completing multistep tasks. The environments can suspend when idle, release resources and later restore file and memory state. Google said a test involving 200,000 agents showed pause and resume taking less than 500 milliseconds. ACE initially supports Gemini, the Gemini platform, Antigravity and Google’s internal model-evaluation and reinforcement-learning workflows. Developers will be able to use ACE through Google Cloud, controlling environments’ images, identities, network access and lifecycles while Google manages underlying resource scheduling and scaling.
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