Ha! Wait until they charge the actual costs and profits! You wish you had not kicked out you most valuable employees...
this post was submitted on 12 Jul 2026
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Fuck AI
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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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Hey, I hear skilled human AI driven labor is pretty affordable nowadays.
Aww. CEO doesn't like being exploited. Good.
Prices for services like this do not ever decrease. By 2028, costs will likely be double what they are now.
The last 50 years has shown that the new model is to get a sector of the economy or consumers dependent on a service then once the competition has faded away, jack up the price. Competition either never shows up or collaborates on pricing.
Wait until investors realize that executives can be replaces with AI also.
Get fucked. Globalprotect is a shit product that is about as reliable as a 40 year old renault and it being slop coded explains a lot.
So when is the us gov gonna start subsidizing AI with your tax dollars to keep this bubble just on the solid side of bursting?
I mean OpenAI is already courting Trump with 5% stake in their company for a bailout
Makes my brain hurt.
lol, rofl even
Would you like fewer employees? Dumber employees? More expensive employees? Try AI. It will bleed you dry and destroy your business. Available everywhere today!
But executives are essential and their brilliant leadership cannot be modeled with LLMs!
This is so deeply, fundamentally hilarious to me.
- LLM corp CEOs are getting extremely uncomfortable at the manifestly nonsensical economics of the current “AI” CapEx and recurring infra costs
- investors in LLM corps (including the absolute fucking cabbages at other tech corps who decided circular financing was a great idea) are getting sketched out at the likely impact on their own finances, as well as the costs of LLM bullshit in general, and its likely trajectory
- other CEOs are now seeing the very obvious cost issues as well, and are begging to return to the previous (deeply unsustainable) pricing models
I am genuinely convinced we’re gonna see the bubble pop before the end of the year.
also laying off so many tech workers since 2023, they probably see alot of loss productivity and innovation, and profit in other areas, also has a unitended by predictable side effect of eliminating jobs for fresh graduates and entry levels, which causes more problems down the line.
I'm predicting for July or August of 2027 myself. Never underestimate the ability of the market to be delusional.
Don't forget anyone with 3 functioning brain cells knows you don't replace workers with AI, and even using it as a productivity tool can cause workers to offload their jobs onto their coworkers with AI by outsourcing comprehension and cognition with workslop.
The "strong" tasks for AI are so limited in scope I don't think it's as world shaking as people think it is. Until they figure out the hallucination thing its just an intern who's a pathological liar. In fact I think it's worse since the intern at least knows what the truth is when they try to hide it with a lie. LLMs have no concept of truth or falsehood they just create a confident most-likely answer with no idea of what's true or false.
They can't "figure out" the hallucination thing because literally everything that comes out of an LLMbecile is hallucination. It's just that sometimes (and not as many times as people seem to think!) the hallucination happens to match something in reality.
So why do so many people believe that LLMs "know" things and aren't constantly hallucinating? We're getting our cognition hacked.
See, we have no way to directly detect intelligence in other beings. What we have are proxies that have, over millions of years of evolution, proved "good enough" a substitute for the actual measurement to be usable as that measurement. And one of the biggest pieces of proxied intellectual detection we have is ... fluency. (You know all those bigoted "Polish jokes" or, from my childhood, "Ukrainian jokes", or such over the years? Yep. Entire ethnic groups were painted with a broad brush as being "stupid" because they couldn't speak English well. Thank you proxied intellect measurement!)
LLMs are something unprecedented in the entire history of life on this planet: fluency paired with zero intellect. But we've evolved to use fluency as a very strong proxy measure of intellect. LLMs, with their confident wording and their almost supernatural fluency fool us into thinking they're, well, thinking. And because we assume that they're smart, we overlook their errors—often helping them along and prompting them down the right path when they hallucinate incorrectly, but close to correct—and when we give them the answer and they state it with fluency and confidence, we're amazed at how smart they are!
But the truth is that they cannot ever figure out the hallucination thing. It would take a completely different technology from LLMs to solve that problem. LLMs are a dead end for genuine machine intellect.
oh yea only if the hallucination sources from veribel fact sources, like legitimate research papers, official medical/govt,,,etc sites. but most of the time its REDDIT, blogs, or other forums.
No. You are making a mistake. Here are two sentences.
The orange tree is a tall plant that produces sweet fruits. The giraffe is a tall animal that eats sweet fruits.
These are both true statements. But using statistical generation I could easily, from these, generate "The orange tree is a tall animal that eats sweet fruits."
EVERYTHING that comes from an LLM, no matter how it is trained, is hallucinatory. NO EXCEPTIONS. The more often that the statistics match reality, the more likely it is that it will match reality, but even if 100% of the input is factual there is always a path in the stochastic generation that will yield (highly fluent) garbage.
Also, remember that Piltdown Man was written about as a real thing in the scientific journal Nature...
But it was a great way for tech to justify laying off staff as a cover for killing product lines not making money. Then non-tech companies bought the bullshit.
Also the intern can learn or be reprimanded. With the LLM it'll just go out of context and you have to keep repeating yourself.
He should take a pay-cut to afford more Artificial Unintelligence then!
Just drop the price by 90% in a year and a half while already hemorrhaging money, no biggie. haha.
If these stupid fucks didn't have the ability to affect my life this would be so, so funny. It's still pretty funny even so.
Isn't it gallows' humour at some point? Shit's fucked, have a laugh at it if nothing else.
Not even once did he think whether it was useful or not. We really need to replace CEOs, managers, and the whole C-suite with LLMs, that would be useful for once! And at $20/month, it's a bargain and you can redistribute the money to people who really work.
He sort of did with executive double speak: he said two things by implying the cost wasn't worth it. To justify the poor quality the price has to drop by 90%. That's shareholder speak for "this is not profitable and not worth the debt exposure".
Nah. Ai also trained on ceo actions, so I'd say it would result in eviler mecha ceo driving the ship drunker than usual
We don't train then on ceo actions. We train them to run a company for the betterment of society, it's people, the employees and its survival.
You need actual examples of a company working for the betterment of society to train the AI though.
So use the workers, not the ceo. We 're firing all those bad employees.
If they were actually firing bad employees then they would start with the executives. The whole AI thing is largely a reflection of what executives think work is, where you just need to prompt your employees better to get better results
I always think that's the reason of AI overconfidence.
Look at it this way: if AI was my boss, got a lots of things kinda wrong and some things totally wrong, I'd just ignore the bs and do my job the way things actually work.
So from employee perspective, CEOs are easy to replace because they just assign work to be done. Because that's the easy part and if you give wrong instructions, someone with actual intelligence and actual hands would eventually do it right.
Flip the coin, and get someone that knows their stuff and let them assign work to incompetent people and or AI, and what do you get? Slop.
That's what I said/meant.
But if we train them on the average co-op you'll get drama instead :/
Please please PLEASE help me FIRE my Employees!
-Billionaires who NEED to NOT be Taxed because they MAKE Jobs!
How many CEOs have thought about how difficult it is to strike when workers have a family to feed?
Now think about how easy it is to scale down AI labour?
Also, you gave all your corporate secrets away to the psychopathic class. They will use this for insider trading, hostile M&A corporate intelligence for competitors, American empire building and hostile actions against foreign countries.
"The whole point was to increase profits by firing all these disgusting humans around here, not just pay the same money to you."
HONESTLY I think they would be willing to pay the same or more, to get captive agents (slaves) that will do exactly what they say with no back talk
😝🤣😂😹
That's just the dumbest and most disconnected-from-reality take on AI I've heard in a while. Fire your CEO there is no way he's worth his salary.
Just replace him with AI. It's obvious it would do a better job.
Can't be too expensive if you're already paying your CEO millions and millions more in bonuses and stock.
Yet those prices can only go up. My rough estimate is about 10x higher to be profitable.
That’s just not gonna happen. Inference is incredibly expensive, and training is even more expensive. There’s not a lot that can be done to change that.
~Just use smaller models, my guy. Humans are so easy to replace, a 30b model running on an old RTX 3080 ought to do it, right?~
30B models are no featherweight at all and an old 3080 won't be able to lift them due to insufficient RAM and even if it did, low bandwidth would make it so you'd only be able generate a few dozens of tokens per minute.
This message alone would take like 2 minutes to generate.