Jaden Norman@lemmy.world to Technology@lemmy.worldEnglish · 1 year agoAI agents wrong ~70% of time: Carnegie Mellon studywww.theregister.comexternal-linkmessage-square178fedilinkarrow-up1891arrow-down120cross-posted to: technology@beehaw.org
arrow-up1871arrow-down1external-linkAI agents wrong ~70% of time: Carnegie Mellon studywww.theregister.comJaden Norman@lemmy.world to Technology@lemmy.worldEnglish · 1 year agomessage-square178fedilinkcross-posted to: technology@beehaw.org
minus-squareKnock_Knock_Lemmy_In@lemmy.worldlinkfedilinkEnglisharrow-up2·edit-21 year agoNo the chances of being wrong 10x in a row are 2%. So the chances of being right at least once are 98%.
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minus-squareKnock_Knock_Lemmy_In@lemmy.worldlinkfedilinkEnglisharrow-up1·1 year agoThat 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.
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minus-squareKnock_Knock_Lemmy_In@lemmy.worldlinkfedilinkEnglisharrow-up1·1 year agoDunno. Asking 10 humans at random to do a task and probably one will do it better than AI. Just not as fast.
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minus-square𝕛𝕨𝕞-𝕕𝕖𝕧@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up1·1 year agodon’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 >:(
No the chances of being wrong 10x in a row are 2%. So the chances of being right at least once are 98%.
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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.
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Dunno. Asking 10 humans at random to do a task and probably one will do it better than AI. Just not as fast.
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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 >:(