https://hackerpaper.kaipfister.de/p/2609.24052/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=49824215urn:hackerpapers:mention:2609.24052:49824215Wed, 23 Sep 2026 23:41:08 GMT<p>I thought about writing a blog post that used Jev as a jumping off point to talk about calibration metrics[1], when and why calibration is important[2], and various methods for doing post hoc recalibration[3] of poorly calibrated models. I thought it would be interesting and instructive to benchmark Jev&#x27;s claims about calibration, find examples where it wasn&#x27;t (relative to some data set, which shouldn&#x27;t be hard to find), give an example of how its poor calibration could be exploited, and then show how it could be fixed with, say, isotonic regression. That would give practitioners a roadmap to…</p><p><a href="https://hackerpaper.kaipfister.de/p/2609.24052/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL