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Anon died on the "clang format bad" hill (programming.dev)
submitted 1 week ago by to c/programmer_humor@programming.dev
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Mine is that the useState hook is an actual plague on the entire React ecosystem. Regardless of your opinions of React, if you wanna use something then use it right.

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[–] 41 points 1 week ago* (43 children)

Current AI tools are excellent productivity and quality enhancers, but only for people who are willing to adjust their workflows and guide it to give good quality output.

The damage is done by Capitalism running the AI industry and the over financialization of the market.

Don't be anti AI, be anti unregulated Capitalism.

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  • [–] 21 points 1 week ago* (last edited 1 week ago) (11 children)

    I agree on their usefulness but as long as you don't use local and open LLMs you are unfortunately part of the ecosystem that does the damage. Luckily open models are catching on and hopefully some reliable companies take up on this business model.

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  • [–] 3 points 1 week ago* (last edited 1 week ago) (10 children)

    I can't wait for the crash, so that we can get more sustainable AI and access to the hardware to run it.

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  • [–] 1 point 1 week ago (9 children)

    Won't happen unfortunately. Unless you want to run a 1U with 6 GPU, requiring a custom water-cooling system, and which sips like 10kW/h of electricity while idle. It's all integrated hardware born to be trash. The ram, cpu and GPU won't be usable on consumer hardware without hard modifications.

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  • [–] 1 point 1 week ago*

    We also don't need frontier models. The type of models that run on $5000 Mac studios can do today what the frontier models did 1 year ago.

    We just need the Mac studio class hardware to come back to $2000 where it used to be.

    Also, do not underestimate the ability of Chinese BGA rework shops from being able to salvage AI chips and install them on board that will fit in standard hardware. They proved they could do it with the Crypto only chips, they will figure it out for the AI chips if the supply is there.

    The main reason these units use water cooling is for deployment density.

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  • [–] 1 point 1 week ago (5 children)

    Local models are only months behind. The primary utility of comically large networks is a wider search space for the tiny fraction of weights that really matter.

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  • [–] 1 point 1 week ago (4 children)

    I agree with you but that doesn't change the fact datacentre hardware is not consumer friendly like it was in the past

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  • [–] 2 points 1 week ago (3 children)

    Was it?

    Not the point - this isn't about secondhand servers, it's about RAM being artificially scarce. Possibly as a deliberate measure to make cloud services sound less wasteful. If a 3090 with 32 GB was only a thousand bucks then OpenAI's revenue would be even worse.

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  • [–] 1 point 1 week ago* (2 children)

    I have an old server with lots of DDR4 which I can for the most part just plug into my PC. The CPU can be put into another motherboard, and the GPU are discrete cards. Most of that hardware can be re used by consumers.

    Most new AI datacentre deployment won't be like that. An Nvidia Blackwell server has everything soldered. Good luck desoldering the CPU or GPU, the ram is either LPDDR5X which I never saw consumer motherboard use, the GPU is HBM3e and not a discrete card anymore. Whole package is unpractical for even a enthusiast to run.

    The original point was that once the AI bubble bursts, we'll have hardware to use for local inference. My claim is that no, it'll probably be too specialized. Unless some maniac in China figures out a way to make new consumer hardware for it, but they probably won't since Nvidia hardware is technically illegal (both export and import at this point). Even then, I don't see Nvidia or others go back to making consumer hardware at a level where we can do serious inference locally.

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  • [–] 1 point 1 week ago*

    Again, this is not about server hardware.

    RAM is hideously overpriced because these doomed companies have open orders for all industrial capacity for years into the future. When the bubble bursts, the capacity's still right there, and the same companies will be eager to sell mundane hardware to normal people at whatever prices we'll still pay.

    We are not in any sense talking about plugging datacenter machinery into home computers. That is not how the artificial crisis will end.

    Even then, I don’t see Nvidia or others go back to making consumer hardware at a level where we can do serious inference locally.

    Why. Who else is gonna buy their silicon, when this diversion craters? They are presently making consumer hardware at a level for serious inference locally. What "serious" means gets better month by month, as a matter of software research. There is nothing to "go back" to; it's just gonna be the only division in the black.

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  • [–] 28 points 1 week ago* (12 children)

    I am anti commercial capitalistic LLMs which, coincidentally is ALL of them.
    "B-But Axo the open weigh—!" They are NOT open, it's the equivalent of giving you the executable of M$ Edge or a Windows ISO and calling it open, fuck this shit

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  • [–] 12 points 1 week ago (8 children)

    If I was king of the world, I would rule that all AI models were based on stealing from all the knowledge of humanity. Since it cannot be un-stolen, I would decree that all copyright is unenforceable and all current proprietary data must be public domain forever as restitution for the abuse.

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  • [–] 2 points 1 week ago (4 children)

    Stealing from tbe knowledge of humanity

    Stealing?

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  • [–] 1 point 1 week ago (3 children)

    Using without permission to their own benefit.

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  • [–] 2 points 1 week ago (2 children)

    Permission?

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  • [–] 13 points 1 week ago* (last edited 1 week ago) (4 children)

    Work has forced us all to adopt it, so everyone did. It was either that or suddenly be the slowest person at work, which eventually gets you canned. People will evangelize all day long about how they refuse to use AI, how it’s dog shit, etc. Meanwhile I’ve managed to dial in my AI workflow so that it never deviates from our code standards, it never tries to invent its own components or styles, and I still manage to review it with experienced human eyes. It’s the reason I can start my work day at 10:30am, walk away from my desk at 4:30pm and still be well ahead of schedule. I’ve malicious-compliance’d the fuck out of my job, it has made my life easier, and I don’t give a fuck what some nerd still devoted to the “art of code” says. We live in a capitalist hellscape and I’m a survivalist.

    With all of that said, I’d still wipe this capitalist shithole fever dream of a tool off the planet because I’m tired of data centers and AI companies fucking up the entire industry, the planet, and people’s lives. I’ve already witnessed firsthand what it did to my industry and I’m lucky to even still have a job (especially one that pays as well as it does—it helps to be in the industry just shy of 20 years).

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  • [–] 4 points 1 week ago (1 child)

    That sounds useful. Id like to find a good place that is for optimizing use of this shit (esp locally) while not going full "hey check out my slop project", or people going "the ai are our gods / will cause an apocalypse"

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  • [–] 3 points 1 week ago

    I use it to corral data a lot of the time. Stuff that is already verified by humans. It’s great for getting quick metrics, or pulling info about something into one central place. I’ve also given it an instruction to use the STE writing rules. It makes it speak more technically and deliberately, as opposed to always trying to sound like my friend.

    I’m absolutely not one of those AI worshipper types, but I’ve found ways to harness it (hopefully thoughtfully) at work.

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  • [–] 1 point 1 week ago (1 child)

    It was either that or suddenly be the slowest person at work, which eventually gets you canned.

    turns out, you can just refuse to do so and you'll still be just as fast as everyone else (source: me). Turns out that you'll actually do the same amount of work and you don't have to babysit a robot all day long losing your mind.

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  • [–] 1 point 1 week ago

    I know for a fact that I am not as fast as this. I had it build out entire page flows and pull together Vue components while connected to Figma’s MCP, and it was done in 1 hour. Tests, types, services, everything. I can’t compete with my own AI flow. I had it finishing 5-6 Jira tickets in one go.

    Refusing also has its own caveats. Like painting a target on my back for layoffs.

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  • [–] 4 points 1 week ago (11 children)

    Why not both? Both is good

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  • [–] 2 points 1 week ago (10 children)

    Nah, that would be like refusing to use a calculator, because they make them from unrecyclable plastic.

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  • [–] 2 points 1 week ago (9 children)

    Bad comparison, it's like refusing to use a calculator because it uses 200 times the amount of energy of existing calculators, was trained on stolen data, and despite all that gets the answer wrong

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  • [–] 1 point 1 week ago (8 children)

    Calculators are also known to get some answers wrong.

    Stolen data is not a tech problem, it's a legal problem.

    And it's not 200 times more power. Maybe 5 years ago it was. But it is being wastefully used by burning capital.

    That's why the bubble needs to pop. So the true cost/value equation comes into play. It should probably cost 5 times what it currently costs from the big providers. It will cut down on the waste significantly.

    The problems with AI is not the tech. It's unregulated Capitalism that has hijacked it.

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  • [–] 1 point 1 week ago* (7 children)

    200 was hyperbolic.

    I've seen AI get incredibly basic shit wrong though.

    Calculators won't miscount the number of O in strawberry, genAI confidently will.

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  • [–] 1 point 1 week ago (6 children)

    GenAI is not a math machine. It's an inference engine.

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  • [–] 2 points 1 week ago (5 children)

    Still can't do basic stuff that existing solutions can though

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  • [–] 1 point 1 week ago (4 children)

    I can't grow a baby, but it does not make me useless.

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  • [–] 2 points 1 week ago* (3 children)

    It would if you're being sold as a baby machine

    Gen AI is being sold as an answers machine, yet literally fucks up in catastrophic and occasionally lethal ways, "hallucinating" complete falsehoods

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  • [–] 1 point 1 week ago (2 children)

    We need to stop evaluating AI based on what it is sold as by the bro-vestor.

    It is not intelligence and never will be. It's an tools that when use in the correct context and under good guidance, is a fantastic productivity enhancer.

    But it's not a Hal9000, or an Andromeda. Don't expect it to be a horse, when it is clearly a car.

    I have not had an AI hallucinate on me in months. Because I always make sure it has a good brief and reference info and that the context window is not exceeded, and that if the context window does get exceeded, that it re-grounds itself on the reference information and asks for human guidance.

    AI hallucinations are mostly operator error these days, either using it incorrectly, not giving it sufficient guidance or asking it to do things it's not suitable for.

    For example, you would never want to use AI when your inputs and outputs have predictable criteria. You would pass those through a normal logic tree.

    Where an AI would be suitable is trying to Triage situations where the logic gets an unhandled use case. It would evaluate the inputs and consider if any of the outputs sufficiently matched the inputs criteria. If it can't it marks it as a genuine exception. But a human still needs to give it the correct guiding criteria.

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  • [–] 1 point 1 week ago

    Yeah on one hand the field of evolutionary algorithms is fascinating and I can see potential. But on the other hand it's being run into the ground by people forcing it into everything. It's also not human-readable so people might think they know what they're getting but really don't because of the black box nature of it.

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