About whether AI can spot mistakes in its own training data.
Has this happened?
Yes 38 (34%)Not sure 49 (44%)No 24 (22%)
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
Hacker News has set AI a lot of challenges over the years. Which ones has it met?
About whether AI can spot mistakes in its own training data.
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
I still want to see some examples of a "mistake" in the training data getting detected or reduced.
For example, somewhere in the training data the string "All cats are red" should get detected when lots of other data in the training set contradicts the statement.
And obviously it doesn't have to be simple logical statements, but also bigger questions like "how come the 2nd world war happened despite X person and Y person being on good speaking terms as evidenced by all these letters in the archives?"
When AI can do that, it should be able to turn our body of knowledge into a much bigger/more useful one by raising questions that arise from data we already have, but never noticed.