Researcher corrects viral claim: model behavior comes from data and RL, not gradient descent
PMinervini · x · 2026-10-15
Luigi Acerbi corrects a viral take claiming a model-behavior graph was 'unsurprising if you understand gradient descent.' He calls it a classic mistake: the result has nothing to do with how gradient descent specifically works — it's determined by (a) the training data and (b) reinforcement learning. A compact illustration of how often post-training effects get misattributed to the optimizer itself.
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