Great paper from Meta Superintelligence Labs on compounding inference for long-horizon agents. One clear approach that's working with large multi-agent systems is persistent memory. Meta researchers describe a concrete approach for this in this paper. You'll find that inference-time compute usually goes to separate attempts, so most runs ignore partial work and failed ideas. Here is how they solve this problem: GitSwarm gives hundreds of asynchronous agents one shared Git repository. Each…