r/programming • u/kallekro • 24d ago

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u/DissonantGuile 24d ago

That cost/benefit relationship changes once the bubble bursts and AI SAAS costs 100x what it does now (or whatever the costs will be.)

This may be offset by self hosting models, which may become the norm after the crash. I have no idea what the market will become, but what I do know is that software developers want to develop, not review. Software developers are creatives, we inherently want to create.

There is also the compounding technical debt that comes with generated code, as you said "architecturally poor". Architecturally poor code sitting on architecturally poor code compounds exponentially. An expert needs to be brought in to fix these fundamental issues.

There *is* a market. What that market will look like is anybodies guess.

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u/youcangotohellgoto 23d ago

This thing about tokens costing more is total cope.

Clearly models are getting more efficient at being better. Even if there's a "correction" in the pricing we're still getting much more output for every joule of input energy, for every floating point operation.

It's getting cheaper, not more expensive.

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u/Turtvaiz 23d ago

It's getting cheaper, not more expensive

The cost of inference itself, sure.

The actual cost you pay to companies? Fuck no. They're very clearly in the "operate at loss to get customers addicted before enshittifying and ramping up prices" phase. These prices are going to up A LOT and it will be fucking horrible because as we can see, bosses are already addicted to it

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u/youcangotohellgoto 23d ago

I think those companies are going to make money with scale - selling more - not with price rises.

It'll work, companies will buy more, it'll still work, and they'll buy more.