this post was submitted on 15 Dec 2025
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like the LLM that was finding cancers and people were initially impressed but then they figured out the LLM had just correlated a DR's name on the scan to a high likelihood of cancer. Once the complicating data point was removed, the LLM no longer performed impressively. Point #2 is very Goodhart's law adjacent.
I never knew the name for this law, but it's basically how SEO ruined traditional search. I think it's also a big reason that a LOT of software engineers put way too much emphasis on passing unit tests and not nearly enough on examining what they're actually testing.
It's a special case of the buiness-school dictum that a metric that is made into a performance measure immediately becomes useless, since there are now incentives to game it.