2026-09-28 13:47 UTC
Replies (7)
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@0xd34d@sh.itjust.works 2026-09-28 14:31
On one hand, many things that you think are “AI” are actually humans in another country pretending to be an AI chatbot Since your target audience appears to be developers and software engineers, have there been any reported cases of human “AI” coding chat bots?
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@Artemis_Mystique@lemmy.ml 2026-09-28 15:28
you know, license washing can work both ways
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@Kajika@lemmy.ml 2026-09-28 16:31
It is lacking the money problem: the high cost is adsorbs by big capitalists organizations (at the cost of the hardware price inflating) that hope to get everyone addicted/dependent on the tool to then surge the prices. This is not open tech, this is not for everyone, this is not to make a better world. This is business.
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@bretton.dev@coves.social 2026-09-28 18:10
This is a pretty solid list, besides Code Quality. Most of the links there are user error. It's akin to blaming a Junior dev for breaking production imo and undermines the entire page.
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@FauxLiving@lemmy.world 2026-09-28 20:19
Most of these arguments are conflating AI with the people using them. Labor exploitation, scraping without consent, military contracts, surveillance policing, grid strain and hardware prices driven up by speculation are real harms. But none of them are properties of a statistical language model. They come from concentrated capital and state power, and whatever technology arrives next will get used the same way. Just like we’ve seen everything in your list, done by the same people, using different technology. We have had hardware speculation during the crypto craze. These same companies (Google) have been taking your data without consent to power their surveillance advertising. Datacenters have always been power and water hungry, the ones powering LLMs are exactly the same ones that exactly the same companies have been building since the Internet began. Essentially every major advance in technology has been used for state surveillance and in the military. AI is simply the latest capability. Models reproducing licensed code, poor code quality and floods of junk contributions. These are real problems with the technology itself. And the solution to most of these things is to iterate, build better models trained on consentually obtained data. Yes, you should still be mad at what the AI companies are doing. I am too. Just keep in mind that Google was evil before Gemini and will certainly be on the forefront of fuckery with whatever technology comes next as long as people keep getting tricked into misdirecting their anger onto the technology.
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@geneva_convenience@lemmy.ml 2026-09-28 22:20
Can the blind anti LLM jerk stop already it’s the same 2024 2025 arguments. Agentic coding has massively improved this year even local open source LLM’s are getting good
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@trougnouf@lemmy.world 2026-09-30 11:40
Putting “AI functionality”, i.e. the denoising model I developed that’s included in Darktable in the same realm as LLM slop is an interesting choice. I collected all of the training data myself and did all of the training on a university GPU (which is consumer grade, I plan on continuing the work on my own machine). I’m curious what’s the ethical (or other?) issue there.