this post was submitted on 29 Apr 2026
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[–] Rooster326@programming.dev 24 points 16 hours ago* (last edited 16 hours ago) (3 children)

Just want to point out the "more layoffs". We are still in the Uber-subsidized part of the relationship.

This is the honeymoon and it ain't off to a great start

[–] whoisearth@lemmy.ca 5 points 5 hours ago

It's absolutely baffling how the gig-economy had been normalized.

I am a news junkie. Just this week they were talking to a business expert about youth unemployment (note it's bad everywhere but it's starting to get bad in 1st world now so we are caring finally) and his response was yeah it's bad but basically we have to get used to a future of hustling doing multiple gigs with no health benefits because that's where things are going.

Fucking government is bent over the barrel letting industry define the workers terms of engagement it's disgusting.

[–] porous_grey_matter@lemmy.ml 3 points 11 hours ago (2 children)

We are still in the Uber-subsidized part of the relationship.

It's not comparable, the costs for Uber are fixed development costs which decrease per customer with more customers. AI is strictly more expensive the more users there are since the cost is per use. The financial outlook for the industry is very bad, it will probably never be profitable except maybe in some extremely niche situations.

[–] Glemek@lemmy.world 5 points 11 hours ago (1 children)

I don't think they mean uber the company, I think they meant uber as in over or very.

[–] porous_grey_matter@lemmy.ml 2 points 10 hours ago

I think they mean the company since they're the most famous example of subsidising the product to gain market share and their name is invoked all the time in discussions of AI economics

[–] Knock_Knock_Lemmy_In@lemmy.world 1 points 9 hours ago (1 children)

AI is strictly more expensive the more users there are since the cost is per use.

Isn't most of the cost in the model training?

[–] porous_grey_matter@lemmy.ml 3 points 9 hours ago

The cost of inference has passed the cost of training quite a while ago and it's by far the majority of expenses

[–] LittleBorat3@lemmy.world 2 points 11 hours ago

The companies need to at least seem to grow forever. See Facebook to meta VR stuff to AI. The business models could not grow forever that's the reason for this constant reinvention of themselves.

At some point AI and building these data centers will have to lead to quantum break , wow we have AGI or to monetization.

Who's going to pay the actual energy costs+ margin for all their tokens? Not me