kalomaze: Poor model transfer reflects narrow human problem selection, not failed generalization
kalomaze · x · 2026-09-12
kalomaze argues that 'models aren't transferring well' shouldn't be read as a model generalization failure, but as an artifact of how humans pick problems: we have bad intuitions about what helps broadly, so we scale up synthetic versions of what we already know to ask for—mostly the tasks SWEs care about—narrowing the training signal.
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