cross-posted from: https://fed.dyne.org/post/822710
Salesforces has entered a phase of public reckoning after senior executives publicly admitted that the company overestimated AI’s readiness
cross-posted from: https://fed.dyne.org/post/822710
Salesforces has entered a phase of public reckoning after senior executives publicly admitted that the company overestimated AI’s readiness
Literally every successful new tool in history was made because there was a problem the tool was meant to solve. (Don’t get me wrong, a lot of unsuccessful tools started the same way. They were just ineptly made, or leap-frogged by better tools.) This is such an ingrained pattern that “a solution in search of a problem” is a disparaging way to talk about things that have no visible use.
LLMs are very much a solution in search of a problem. The only “problem” the people who made them and pitched them had was “there’s still some money out there that’s not in my pocket”. They were made in an attempt to get ALL TEH MONEEZ!, not to solve an actual problem that was identified.
Every piece of justification for LLMs at this point is just bafflegab and wishful thinking.
I completely agree that LLMs are the solution in search of a problem. I’m just trying to explain why someone might look at it and think it’s worth something.
The biggest reason really is just that a bunch of money is involved. The first entity to find a way to make money is going to Maya killing. The problem of course is that day may never come.