this post was submitted on 28 May 2026
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Fuck AI

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"We did it, Patrick! We made a technological breakthrough!"

A place for all those who loathe AI to discuss things, post articles, and ridicule the AI hype. Proud supporter of working people. And proud booer of SXSW 2024.

AI, in this case, refers to LLMs, GPT technology, and anything listed as "AI" meant to increase market valuations.

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[–] uuj8za@piefed.social 6 points 1 hour ago

tokenmaxxing

I'm doing my part. 👍

[–] jtrek@startrek.website 24 points 3 hours ago

People who repeatedly make horrible decisions, with no sign of learning, should not be allowed to continue making decisions. All of these frothy pro-ai people need to go. Let them spend the rest of their days picking up litter or something useful.

[–] nucleative@lemmy.world 19 points 3 hours ago

Agentic really moved the needle on this. I mean, if your LLM is suffering from a limit, why not let another LLM watch it. While that's going on, why not let yet another orchestrating LLM watch all the LLMs and tell them what to do. It starts to get confusing fast so better use yaLLM (yet another LLM) to watch the whole circus.

[–] ThePowerOfGeek@lemmy.world 38 points 4 hours ago (1 children)

it’s now apparent that using AI is more expensive than hiring people, especially since it offers only limited productivity gains at the moment.

And there it is: the wakeup call. The sound of a bubble at least deflating a bit (probably more to come). But we all know it will take months or years for that realization to really sink in. Corporate leadership will mess around trying to cut costs while denying they made a bad call by falling for the hype.

Also, this isn't just hitting tech giants by the way. This is hitting everyone who jumped on the AI bandwagon. What were going to see is a frantic scramble in two directions:

  1. hiring a subset of people back because the C-level now realizes they are under-staffed for purpose - emphasis on subset, because they will happily keep overloading those remaining as much as possible.

  2. pivoting to open source in-house hosted models to cut costs, and initially struggling with all the janky tooling that will come with it. But even once the tooling has been improved to be somewhat usable, there will still be some initial frustration with these models. For all the problems with the bleeding edge ChatGPT and Claude models, in most cases they are more useable than the self-hosted ones, which lag by a couple of generations.

What I'm hoping to see is the push to rely on AI drop off sharply and a resurgence for online community collaboration and resources. They weren't perfect, but at least they keep one's critical thinking and research skills a little sharper.

[–] HobbitFoot@thelemmy.club 5 points 1 hour ago

I don't know if a lot of tech needs to hire back. Outside of AI, tech adoption is on the right side of the adoption S-curve and most development time right now is going to revenue generation.

And if you do need to hire back, you don't need to hire from HCOL areas. Make the position full remote and price the salary to a LCOL area. You don't need to pay a Bay Area wage any more.

[–] Eternal192@anarchist.nexus 29 points 5 hours ago

Good, fucking crash and burn bastards!

[–] pixxelkick@lemmy.world 2 points 4 hours ago (2 children)

Ive said it before and Ill say it again. These are tools that require skill and training. If you throw an untrained intern at it without prep they'll eat through tokens like crazy, and you wont get much gain.

Theres lots of ways to reduce tokens used by huge amounts, the difference can be on the scale of 90% or better reductions in usage.

But it takes setup, skill, tools, etc. All which require training and learning for the user to know what to use, how to use it, and when.

[–] its_kim_love@lemmy.blahaj.zone 14 points 3 hours ago (2 children)

I'm so good at asking the bullshit machine to work for me. I can get it to pump out bullshit for 10x less than some idiot.

[–] Tar_alcaran@sh.itjust.works 4 points 2 hours ago

Remember, telling your model to talk like a caveman will save you about 15% on output tokens!

[–] mech@feddit.org 4 points 3 hours ago* (last edited 3 hours ago) (1 children)

Replace tokens with compute and that sounds a lot like programming.

[–] pixxelkick@lemmy.world 1 points 2 hours ago* (last edited 2 hours ago)

...no?

We arent talking about performance of the app, we are talking about how much money it takes to make the product itself.

Its like arguing that we should stop having workers on a site job use power drills cuz they keep putting holes in everything.

Like... no... you should train your workers how to use a power drill correctly and to stop putting holes in everything.

And if you then go "oh cool so I should stop hiring new guys?" The answer is "the fuck are you gonna do when your senior guys retire, dumbass?"

You obviously still hire new guys... Just... fuckin train your workers to use the tools.

If you buy super expensive tools for your workers and then dont train them how to use them right, you dont get to be shocked when you find out the tools are being used poorly...

You can use AI efficiently and effectively but its not easy, these tools require training and skill to make them work well.

Companies keep telling their workers to use AI but arent spending the money to train them to use AI

You need like minimum 50+ hours of training baseline for these skills to even remotely make the tools worth using.

Its not even a lot but damn these companies wont even do that much.

Then its ShockedPikachu.jpeg when their untrained employees blow through 100k tokens in a day cuz they dunno wtf they are doing.

Bunch of idiots with power tools is what it is, lol.