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        <title>How Google DeepMind Runs Agents at Scale — KP Sawhney &amp; Ian Ballantyne, Google DeepMind</title>
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        <description>Google DeepMind employees have worse token quotas than paying customers. That is not a mistake. KP Sawhney explains: customers get priority, and if an internal team spikes usage on a cluster someone monitoring 24/7 will just call and ask them to stop. This panel covers how DeepMind thinks about agents at scale from the inside: managing quota across thousands of power users, a Darwinian skills library where only the strongest skills survive as engineers contribute en masse, and where the Deep Research pipeline is going next. KP's current focus is replacing the pipeline's giant context blobs with a shared file system so each research component can collaborate the way human researchers would, and produce supporting artifacts that the current architecture cannot. Speaker info: https://linkedin.com/in/ianballantyne, https://github.com/irbg, https://linkedin.com/in/kyle-sawhney, https://github.com/KPSawhney</description>
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