It’s unwise to narrow the cause down to just one thing, and probably unfair to limit it to Twitter-related spiritual damage, but something is clearly not right with the richest and most powerful people in Silicon Valley. In some cases, this is pretty easy to identify; having a billion dollars and every material comfort imaginable […]
welll, actually, llms are great at the exact things you just described… logic tree searches…
it just takes incredible computation and training at the moment.
if you filter your expectations to that limited scope, current ‘ai’ makes sense
but yeah, theres a ton of marketing pretending this is general ai, and its not even close.
I’ll be real with you - I was expecting a totally different experience than what happened when I saw the “welll, actually”, and I am happily surprised.
Agreed, they’re good tools for certain very specific tasks. Somehow my experience with them has produced the opposite of the Gell-Mann Amnesia effect, though. It’s hard for me to imagine that their output quality will exceed that of the 50^th percentile with the data collection and training methods in use.
welll, actually, llms are great at the exact things you just described… logic tree searches… it just takes incredible computation and training at the moment.
if you filter your expectations to that limited scope, current ‘ai’ makes sense
but yeah, theres a ton of marketing pretending this is general ai, and its not even close.
I’ll be real with you - I was expecting a totally different experience than what happened when I saw the “welll, actually”, and I am happily surprised.
Agreed, they’re good tools for certain very specific tasks. Somehow my experience with them has produced the opposite of the Gell-Mann Amnesia effect, though. It’s hard for me to imagine that their output quality will exceed that of the 50^th percentile with the data collection and training methods in use.