Models Need Better Self-Capability Calibration
scaling01 · x · 2026-07-11
The author suggests using more of a model's own outputs for continued training to help it accurately calibrate "what it can actually do."
They note that models frequently underestimate themselves, claiming a task will "take weeks" when it actually takes just minutes. Therefore, models should prioritize attempting to solve a problem rather than prematurely assuming they can't.
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