ylai@lemmy.ml to Technology@lemmy.worldEnglish · 2 年前VR Headsets Are Approaching the Eye’s Resolution Limitsspectrum.ieee.orgexternal-linkmessage-square38linkfedilinkarrow-up1190arrow-down147
arrow-up1143arrow-down1external-linkVR Headsets Are Approaching the Eye’s Resolution Limitsspectrum.ieee.orgylai@lemmy.ml to Technology@lemmy.worldEnglish · 2 年前message-square38linkfedilink
minus-squareKairuByte@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up34arrow-down6·edit-22 年前They make glaring errors in logic, and confidently state things that are not true. But their whole “deal” is writing proper sentences based on predictive models. They don’t make mistakes like the excerpt highlighted.
minus-squaredrislands@lemmy.worldlinkfedilinkEnglisharrow-up4·2 年前Y’know what, that’s a fair point. Though I’m not the original commenter from the top, heh.
minus-squareKairuByte@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up3·2 年前Ah apologies, I’m terrible with tracking usernames, I’ll edit for clarity.
minus-squaredrislands@lemmy.worldlinkfedilinkEnglisharrow-up1·2 年前No worries mate. I appreciate the correction regardless.
minus-squareGarbanzo@lemmy.worldlinkfedilinkEnglisharrow-up2·2 年前I’m imagining that the first output didn’t cover everything they wanted so they tweaked it and pasted the results together and fucked it up.
minus-squareKairuByte@lemmy.dbzer0.comlinkfedilinkEnglisharrow-up1·2 年前That could easily happen with reconfiguring throw own writing as well though.
minus-squareGlitterInfection@lemmy.worldlinkfedilinkEnglisharrow-up1·2 年前Pretty soon glaring errors like this will be the only way to identify human vs LLM writing. Then soon after that the LLMs will start producing glaring grammatical errors to match the humans.
They make glaring errors in logic, and confidently state things that are not true. But their whole “deal” is writing proper sentences based on predictive models. They don’t make mistakes like the excerpt highlighted.
Y’know what, that’s a fair point. Though I’m not the original commenter from the top, heh.
Ah apologies, I’m terrible with tracking usernames, I’ll edit for clarity.
No worries mate. I appreciate the correction regardless.
I’m imagining that the first output didn’t cover everything they wanted so they tweaked it and pasted the results together and fucked it up.
That could easily happen with reconfiguring throw own writing as well though.
Pretty soon glaring errors like this will be the only way to identify human vs LLM writing.
Then soon after that the LLMs will start producing glaring grammatical errors to match the humans.