When did the blockchain bubble burst? Is crypto dead again? I missed it.
Comment on 'LLM-free' is the new '100% organic' - Creators Are Fighting AI Anxiety With an ‘LLM-Free’ Movement
Rozauhtuno@lemmy.blahaj.zone 3 months agoGood thing about this is it’s self selecting, all the technobros who obsess over AI will find themselves bankrupted like when the blockchain bubble bursted.
technocrit@lemmy.dbzer0.com 3 months ago
uis@lemm.ee 3 months ago
It dies every year since 2010.
stephen01king@lemmy.zip 3 months ago
Only NFTs died, so I guess part of crypto did.
Kedly@lemm.ee 3 months ago
How does using free software to play dress up with anime characters bankrupt me financially?
echodot@feddit.uk 3 months ago
The blockchain bubble burst because everyone with a brain could see from the start that it wasn’t really a useful technology. AI actually does have some advantages so they won’t go completely bust as long as they don’t go completely mad and start declaring that it can do things it can’t do.
Rozauhtuno@lemmy.blahaj.zone 3 months ago
Which is exactly what’s happening.
echodot@feddit.uk 3 months ago
The fact that it is useful technology though means they’ll always have a fullback. It’s not going to go way like bitcoin I guarantee it.
technocrit@lemmy.dbzer0.com 3 months ago
Bitcoin went away? It’s at like $67k today.
But sure there’s lots of data processing that’s extremely useful. That’s been the case for a long time. But anybody talking about “intelligence” is a con.
sonori@beehaw.org 3 months ago
Like say, treating a program that shows you the next most likely word to follow the previous one on the internet like it is capable of understanding or repeating a sentence beyond this is the most likely string of words to follow the given input on the internet. Boy it sure is a good thing no one would ever do something so brainless as that in the current wave of hype.
It’s also definitely becuse autocompletes have made massive progress recently, and not just because we’ve fed simpler and simpler transformers more and more data to the point we’ve run out of new text on the internet to feed them. We definitely shouldn’t expect that the field as a whole should be valued what it was say back in 2018, when there were about the same number of practical uses and the foucus was on better programs instead of just throwing more training data at it and calling that progress that will continue to grow rapidly even though the amount of said data is very much finite.
uis@lemm.ee 3 months ago
AIs are fancy matrix multiplications
jarfil@beehaw.org 3 months ago
Check Q*, Google’s Gemini is already using a similar approach.