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Sure it could maybe be kinda right, but what is the cost of a false positive? If you have, say, a 10% false positive rate, and there are theoretical reasons to think you’ll never get that anywhere close to zero, then what use case does this serve? Hey student, there’s 90% chance you cheated, well no I’m that 10%. What now?

Again, OAI cancelled work on this believing it not to be solvable with a high degree of confidence. What is the use case for a low confidence AI detector?



> What is the use case for a low confidence AI detector?

What's the use case for LLMs in general if you always have to double-check their work?


“The entire current AI market”.




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