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    AI training sandboxes reportedly can branch at any point

    A team member says San Francisco Compute backs the system and will let users scale up without reservations as its large-scale clusters come online.

    EC
    1 Source, 19d ago, first seen 19d ago

    TLDR

    A builder says their team has made reinforcement-learning sandboxes with full disk and memory snapshots that can branch at any point to train long-horizon AI agents. They claim snapshots and restores are fast enough to freeze sandboxes during tool calls, delivering “~7x” savings. They also say San Francisco Compute backs the system, with reservation-free scaling as its large-scale clusters come online.

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    1 Source, first seen 19d ago

    Combined views

    349

    1 Source, first seen 19d ago

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    1 Source

    @evanjconradThe whole thing is backed by the full liquidity of San Francisco Compute, which our team has been hard at work scaling. As SFC's large-scale clusters come online, you can burst to huge scales, without a reservation or, uh, flying to ICML to sublease your cluster like we did.

    1 Source

    @evanjconradThe whole thing is backed by the full liquidity of San Francisco Compute, which our team has been hard at work scaling. As SFC's large-scale clusters come online, you can burst to huge scales, without a reservation or, uh, flying to ICML to sublease your cluster like we did.