themachinestops@lemmy.dbzer0.com to Technology@lemmy.worldEnglish · 1 day agoThis CEO laid off nearly 80% of his staff because they refused to adopt AI fast enough. 2 years later, he says he’d do it againfortune.comexternal-linkmessage-square99linkfedilinkarrow-up1403arrow-down122
arrow-up1381arrow-down1external-linkThis CEO laid off nearly 80% of his staff because they refused to adopt AI fast enough. 2 years later, he says he’d do it againfortune.comthemachinestops@lemmy.dbzer0.com to Technology@lemmy.worldEnglish · 1 day agomessage-square99linkfedilink
minus-squaredeathbird@mander.xyzlinkfedilinkEnglisharrow-up33·6 hours ago“Vaughan was surprised to find it was often the technical staff, not marketing or sales, who dug in their heels.” So the people that understood it best were sceptical, and this didn’t give him pause. Can someone explain to me why all these empty suits dick ride LLMs so hard?
minus-squareaesthelete@lemmy.worldlinkfedilinkEnglisharrow-up4·2 hours agoThey’re easily conned and they love yes men.
minus-squareBenaaasaaas@group.ltlinkfedilinkEnglisharrow-up20·6 hours agoBecause they try the tools, realize that their job is pretty much covered by LLMs and think it’s the same for everyone.
minus-squareMysteriousSophon21@lemmy.worldlinkfedilinkEnglisharrow-up9·5 hours agoTechnical staff were skeptical because they actually know what AI can and can’t do reliably in production environments - it’s good at generating content but terrible at logical reasoning and mission-critical tasks that require consistancy.
minus-squarezarkanian@sh.itjust.workslinkfedilinkEnglisharrow-up5·6 hours ago Can someone explain to me why all these empty suits dick ride LLMs so hard? $$$$$$$ AIs are cheaper than humans.
“Vaughan was surprised to find it was often the technical staff, not marketing or sales, who dug in their heels.”
So the people that understood it best were sceptical, and this didn’t give him pause.
Can someone explain to me why all these empty suits dick ride LLMs so hard?
They’re easily conned and they love yes men.
Because they try the tools, realize that their job is pretty much covered by LLMs and think it’s the same for everyone.
Technical staff were skeptical because they actually know what AI can and can’t do reliably in production environments - it’s good at generating content but terrible at logical reasoning and mission-critical tasks that require consistancy.
$$$$$$$
AIs are cheaper than humans.