don’t you dare understand the explicitly obvious reasons this technology can be useful and the essential differences between P and NP problems. why won’t you be angry >:(
Comment on AI agents wrong ~70% of time: Carnegie Mellon study
Knock_Knock_Lemmy_In@lemmy.world 1 week agoNo the chances of being wrong 10x in a row are 2%. So the chances of being at least right once are 98%.
jwmgregory@lemmy.dbzer0.com 1 week ago
davidagain@lemmy.world 1 week ago
Ah, my bad, you’re right, for being consistently correct, I should have done 0.3^10=0.0000059049
so the chances of it being right ten times in a row are less than one thousandth of a percent.
No wonder I couldn’t get it to summarise my list of data right and it was always lying by the 7th row.
Knock_Knock_Lemmy_In@lemmy.world 1 week ago
That looks better. Even with a fair coin, 10 heads in a row is almost impossible.
And if you are feeding the output back into a new instance of a model then the quality is highly likely to degrade.
davidagain@lemmy.world 1 week ago
Whereas if you ask a human to do the same thing ten times, the probability that they get all ten right is astronomically higher than 0.0000059049.
Knock_Knock_Lemmy_In@lemmy.world 1 week ago
Dunno. Asking 10 humans at random to do a task and probably one will do it better than AI. Just not as fast.