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AI Research's Unglamorous Core: Infrastructure, Data, Ablations

A practitioner reflects that much AI work feels familiar: building efficient infrastructure, collecting ever more data, running ablation after ablation to understand models, and endlessly debugging software and hardware.

Some work seems to be what we’ve done before. Building efficient infrastructure. Collecting a lot of data, then a lot more. Running ablation after ablation to understand what the model should actually look like. Debugging software and hardware, again and again. The unglamorous

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