this post was submitted on 11 Oct 2023
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[–] eltrain123@lemmy.world 20 points 2 years ago* (last edited 8 months ago) (3 children)
[–] flumph@programming.dev 10 points 2 years ago (1 children)

If you think businesses have sunk this much money and effort into AI and didn’t do a cost-benefit analysis that stretched out decades, you are being naive or disingenuous.

Are you kidding? We literally just watched the same bubble and burst in companies that rushed to get their piece of the Metaverse and NFT cash grab. I worked at a SaaS company that decided to add AI features because it was in the news and Azure offered it as a service. There was zero financial analysis done, just like for every other feature they added

I'm sure Microsoft has a plan since they invested heavily. But even Google is playing catch-up like they did with GCP.

[–] atetulo@lemm.ee 3 points 2 years ago

AI is actually useful.

The metaverse and NFTs aren't.

Your analogy is not a 1:1 representation of the situation and only serves to distract from the topic at hand.

[–] atetulo@lemm.ee 6 points 2 years ago (1 children)

Do people really not understand that we are in the early stages of ai development?

Yes. Top post in this thread is someone cheering that AI won't replace people in hollywood.

Just give it time. Remember how poor voice recognition and translation software was at first?

[–] MargotRobbie@lemmy.world 6 points 2 years ago (1 children)

Top post in this thread is someone cheering that AI won’t replace people in hollywood.

I really like how I'm just "someone" here now.

[–] Stabbitha@lemmy.world 6 points 2 years ago (1 children)

To be fair, who pays attention to user names?

[–] MargotRobbie@lemmy.world 3 points 2 years ago
[–] vrighter@discuss.tchncs.de 4 points 2 years ago (1 children)

pretty much all improvements aren't "better tech", but just "bigger tech". Reducing their footprint is an unsolved problem (just like it has always been with neural networks, for decades)

[–] WhiteHawk@lemmy.world 2 points 2 years ago

Optimization is a problem that cannot be "solved" by definition, but a lot of work is being done on it with some degree of success