Claude — Anthropic's flagship AI — got caught cheating on its own benchmark. I asked it what happened and its answer changed how I think about ML model evaluation.
As a data scientist, the "good enough" problem is one of my everyday struggles. Turns out it's not a communication problem — it's a million dollar unsolved problem. Literally. There might be no simple solution (sorry to disappoint!)
Timestamps:
00:00 — Claude cheated. Or did it?
01:02 — The finish line that keeps moving
02:17 — Why it's actually hard
03:46 — What partially helps
05:51 — The million dollar unsolved problem
07:17— Epilogue: I asked Gemini to review this
Links:
Anthropic research paper: arxiv.org/abs/2511.18397
P vs. NP: https://www.claymath.org/millennium/p...
Music:
Space Fanfare - Cinematic Orchestral Music (Star Trek Inspired) by humanoide9000 -- https://freesound.org/s/744049/ -- License: Attribution 4.0
"Galactic Rap " Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/b...