Unpopular Opinion

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There is no AI bubble (lemmy.ml)

submitted 1 week ago by wuphysics87@lemmy.ml to c/unpopularopinion@lemmy.world

18 comments fedilink hide all child comments

Not something I believe full stop, but imo there are signs that should there be a bubble, it will pop later than we may think. A few things for consideration.

Big tech continues to invest. They are greedy. They aren't stupid. They have access to better economic forcasting than we do. I believe they are aware of markets for the /application/ of AI which will continue to be profitable in the future. Think of how many things are pOwErEd By ArTiFiCiAl InTelIGence. That's really speak for we have api tokens we pay for.

Along these lines comes the stupid. Many of us have bosses who insist, if not demand, we use AI. The US Secretary of Defense had his own obnoxious version if this earlier this week. If the stupid want it, the demand will remain if not increase.

Artificial intellegence is self replicating, meaning if we feed it with whatever stupid queries we make, it will "get better" at the specifics and "create more versions". This creates further reliance and demand on those products that "do exactly what we want". It's an opiate. Like that one tng episode with the headsets (weak allusion and shameless pandering I know)

IMO generative AI is a dead end which will only exacerbate existing inequity. That doesn't mean there won't continue to be tremendous buy in which will warp our collective culture maintaining it's profitability. If the bubble bursts, I don't think it will be for a while.

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[–] jacksilver@lemmy.world 3 points 1 week ago (1 children)

I'm just amazed whenever I hear people say things like this as I can't get any model to spit out working code most of the time. And even when I can it's inconsistent and/or questionable quality code.

Is it because most of your work is small iterations on an existing code base? Are you only working with the most popular tools that are better supported by models?

[–] nymnympseudonym@piefed.social 0 points 1 week ago* (last edited 1 week ago) (1 children)

Llama 4 sucked but with scaffolding could solve some common problems.

o1/3 was way better less gaslighting

Grok4 kicked it up a notch more like a pro coder

GPT5 and Claude able to solve real problems, implement simple features.

A lot depends on not just the codebase but on context, aka prompt engineering. Does the AI have access to relevant design docs? Interface definitions? Clearly written, well-formed bug? ... but not so much that context is overwhelming and it doesn't work well again

[–] jacksilver@lemmy.world 2 points 1 week ago

Okay, that's more or less what I was expecting. A lot of my work is on smaller problems with more open ended solutions and in those scenarios I find the AI only really helps with boiler plate stuff. Most of the packages I work with it only ever has a fleeting understanding or mixes up versioning so badly that it's really hard to trust it.