Evangelizing llms is pretty much all you do on here, you have spent an enormous amount of time and effort on them.

This is a fair point. I talk about it a lot here, too much TBH.

Sorting by New Comments, topics like this are mostly what come up and peak my interest… I suppose I need to curate/moderate my Lemmy feed, like I’ve been telling myself I should do for some time.

I dispute all of this

The entire premise of chatbots is to have a simple natural-language interface instead of those scary GUIs and programming languages.

Absolutely not. This is not what text models were made for, it’s what jerks like Altman and Modi twisted them into with marketing.

The idea that maybe they didn’t know enough about how to interact with ai, and that’s why it failed to help them, is a little silly, and the more you explain how we’re all using ai wrong, the sillier you look.

I’m not blaming the user, I’m saying they’re crap services. I think the superlative/cursing is necessary here; they are so bad and enshittified it is astounding.

You’ve obviously sunk a lot of costs into genai, both in time and money, and that is making you defensive.

I have paid a total of a few bucks into APIs, I’ve never had a Claude or OpenAI subscription in my life. I don’t know why you would assume this.

Somebody that isn’t impressed by Claude premium isn’t going to do any of what you suggest, let alone get any more value out of it, and that’s valid for them. You’re not seriously interested in helping them professionally, you are just insecure.

I’m not insecure about this. I don’t need LLMs or generative ML, though I am interested in it. I have many dire personal issues, but people are free to program however they wish and I’m not going to gaslight anyone about that.

I do think text models have been bastardized into “a simple natural-language interface instead of those scary GUIs and programming languages.” That is NOT what they were intended to do, no matter how much Claude tries to sell people on it. I think this misunderstanding is extremely important because it’s exactly what’s propping up abominations/scams like OpenAI/Anthropic.

But they can still be extremely useful tools in narrower scopes, like all machine learning has for over a decade, and I’m not going to shy away advocating for that. I do resent all of LLMs being pigeonholed so tightly, and if people are going to try them, I at least want to point them to a more reasonable/frugal source than Claude premium and Claude Code.

Some models like Nemotron use open datasets, and utilize hardware more efficiently than OpenAI and such.

Its (IMO) also quite different when the weights are Apache licensed. If absolutely zero profit is involved, that gets close to the “fair use” umbrella, IMO, like other noncommercial derivative works of restrictively licensed content (fanfics/fanart).

You are not wrong about the closed datasets though, for the vast majority of LLMs. Lord knows what the Chinese trainers or OpenAI use to train…

But anything truly “open weights” is still a different order of magnitude in the ethics scale, IMO. I view the primary issue to be profiting off the scraping and training; take that away, and its not nearly as egregious.

I use local LLMs (bad place to state that maybe?) and find them useful, but just like I wouldn’t recommend any level of alcohol to a recovering alcoholic despite it in general being fine in moderate amounts, LLM usage has to be treated the same way.

Yes!

I was afraid to bring it up. I almost didn’t. But I just wanted to convey “if your future employer MAKES you smoke, if it absolutely cannot be avoided, be aware DIY nicotine patches exist as an alternative,” as it seems like OP hasn’t done much with self hosted stuff.

However, I have been using “generative AI” to encompass all text, image, audio, video, etc. generation. I’m curious if you have a preferred term for that without “AI” or if the “generative” is enough of a qualifier to make the term adequately specific?

I am just more specific!

For text models, or multi-input models? I use “text generation” or “LLM.”

For media generation, I use “diffusion” as basically all those models are diffusion models.

I use “computer vision” for image recognition stuff. “Machine learning” as a more general term.

Basically, I pretend like I live in 2021/2022 before “AI” became a catchphrase, but the field of machine learning was racing away. TBH I hate the term “generative AI” as ALL machine learning is generative in some way, yet old school machine learning isn’t normally included in that term.

I don’t. I’ve never had an OpenAI or Claude subscription. Basically the only thing I’ve used Claude API for is science/testing when comparing it to an open weights model, and I haven’t done that in some time.

I’ve never felt a need to, either.

Not that Im perfectly innocent or anything. Or that you’re wrong. People DO exactly this, and it makes me scratch my head.

I’d wager people like linux devs will learn exactly how unreliable they are, quickly, once they start using them. Its kind of impossible to miss.

There’s a chance some devs succumb to AI psychosis, but that’s why these large open source projects are institutionalized. No one person can ruin them, by design.

As for ethics, I think the open weights LLMs are far more ethical, albeit far from perfect. They’re trained modestly, presented as tools, apache licensed, self host able, more efficient to run, and good enough; people just need to know they exist as an alternative.

Well that’s because copilot and cursor are pure shit, and claude code is overpriced and over rated.

TBH I have been hopping between agent frameworks, but mostly I use locally run Qwen or Deepseek to draft individual function blocks or brainstorm in a notepad interface:

https://github.com/lmg-anon/mikupad

And manually insert them as I review the code… I like my stuff uncomplicated and unobstructed.

If I were to pick an API provider today, I’d buy one year of Xiaomi MiMo, because it is dirt cheap and good enough. GLM and Deepseek are great, but more expensive since they are popular now.

I think the people most extreme about it haven’t done much development.

Or they have, professionally, and associate it with very real AI psychosis at work.

Or they’re in school and see LLMs ruining the student body, as we’ve seen some in other Lemmy posts.

It all comes down to ethical tool sourcing, and using those tools in moderation, responsibly. Like all sorts of other automation/technology that’s popped up in programming…

But I guess I’m saying I can sympathize with absolute “no-LLM-code” positions, too. The way true vibe-coding has been peddled to the public really has done tremendous damage, and honestly the space deserves the negative attention its getting, and then some.

Indeed. I had to blink a few times and double check:

https://dailycaller.com/2026/08/28/new-york-subway-hero-daniel-penny-social-media-defense-data-centers/

His Twitter profile picture. Its him:

…You cannot make this shit up.

Look at the rambling essay:

https://rvivr.com/2026/08/the-laymans-case-for-data-centers/

And who wrote it:

Daniel Penny (@12Palehorse) , X

https://en.wikipedia.org/wiki/Killing_of_Jordan_Neely

On May 1, 2023, in New York City, Jordan Neely, a 30-year-old Black[3][4][5] homeless man, was killed after being put in a chokehold by Daniel Penny, a 24-year-old White United States Marine Corps veteran while riding the New York City Subway. Neely boarded the car Penny was riding and began threatening passengers. After the train left the station, as Neely was threatening passengers, Penny approached Neely from behind to apply the chokehold, and maintained it in a sitting position until Neely went limp a few minutes after the train had reached the next stop.

Penny joined U.S. president-elect Donald Trump and vice president-elect JD Vance at the 2024 Army–Navy American football game as a “guest of honor” shortly after his acquittal.[62] A few months later, Penny was hired by a prominent Silicon Valley venture capital firm, Andreessen Horowitz, as a “deal partner” in the division of the firm specializing in “aerospace, defense, public safety, education, housing, supply chain, industrials, and manufacturing.”[61] According to The New York Times, firm outsiders and limited partners expressed private concerns about Penny’s hiring, citing his lack of investment experience and the political controversy surrounding his trial. An internal memo obtained by the newspaper defended his hiring, saying that Penny’s military experience would help build relationships with “active-duty military, veterans, chiefs of police, sheriffs” deals with in its public safety and defense businesses.

Pro-datacenter ad, seemingly LLM written, authored by a murderer with a Trump connection…

You cannot make this shit up.

I am telling you the data center is not the enemy. It is the forge.

It is not X. It is Y.

In practice, I found it breaks sites more, lets some things through, triggers more adblock detectors, and doesn’t work as well with the annoyance list.

It doesn’t work on YouTube. And the maximum number of entries to block is limited.

Its not catastrophic though.

So UBO Lite is not wholly ineffective, no. It works great, mostly. Buts its definitely more of a nuisance to use, which is exactly what Google wants.

It won’t for long. Its only because Ungoogled Chromium is on a stable channel, but this removal will catch up to them soon.

This goes for all Chromium browsers, except those that hack in their own adblock engine like Cromite or Brave.

Well, it anonymizes you by “faking” the tracking. I would hope it takes steps to sandbox the ads.

1 million users…

You are not the first to ask this here.

Now, I’d like to relearn computer science, learn how to code, use Linux systems, and so on… but how?

Dive into the deep end! Try linux on your computer. Backup your stuff, read up on boot-loaders (and if you want to dual boot Windows at all), then follow the Arch Linux installation guide on their wiki, which is a great “crash course” in linux. CachyOS Linux would be my recommendation for something quicker to install but still hands-on.

As for programming, personal projects will have to stem from something you’re interested in. I’d recommend a game mod if you still like gaming, but it just depends on your personal interests.

Also:

• This is not your fault. ChatGPT and such are designed to be shamelessly addictive just like Facebook, Twitter and such. Those “AI” apps/services are abominations.

• Don’t even use the term AI, unless its used disparagingly! IMO its a marketing phrase built to anthropomorphize tech company services, so be more specific. Use “LLM,” machine learning, whatever. Basically, use “AI” to mock the tech bro hype.

• You might need some more general digital detox. Get addictive crap off your phone. But simply being on Lemmy is a good sign you’re on that path!

• You need LLM detox. But. In the future, if you are pressured back into usage by a specific class, your career, or whatever, consider the local LLM path, run on your own hardware, hackable, and free of the enshittification of the corporate apps. Consider keeping it offline to force you to fill/use the context yourself. In other words, there is another path besides running back into the drug dealer’s arms. But let me emphasize that you should just go cold turkey now, especially at this specific point in your life.

The expert have made so many grand pronouncements since the launch of ChatGPT almost four years ago. And they over-promised again and again. They kept saying that the next generation of bots would fix everything—but instead the embarrassments and failures continued, only on a larger scale.

This needs qualification.

Most in the machine learning space thought Altman was an idiot, or possibly a sociopath, before the public even heard the world “LLM.” TSMC allegedly calling him a “podcast bro” was perfect.

“Experts” never said any such thing.

What was heard were a few old guys with Nobel syndrome or some misunderstanding, but mostly a whole lot of scam peddlers on TV as “experts.”

The ML research community never wanted any of this hype. They actively warned against it. These models were not ready for people to use, but OpenAI peddled them anyway.

You didn’t answer my question.

What does rosetta have to do with any of this?

Intel must be kicking themselves for not using their own fabs for Arc, AND divesting from Micron, Optane, and HMC.

Apple and others must be too, for snubbing Intel and Samsung.

They would be making money hand over fist, and relieving the market at the same time.

No, @GamingChairModel@lemmy.world is right.

What does Rosetta have anything to do with what OpenAI needs? Machine learning on Macs is done in MLX or something else with Metal, running OSX. Most agenic frameworks or other ML-related infrastructure are just Python, or open code that can compile on OSX/Macs just fine. In fact, OSX is often the first target platform.

This even includes inter-node frameworks for clustering Macs together.

No one doing “AI” on Macs is using Rosetta. There’s no point, and its a bad idea. They’re doing everything in OSX, which works fine, and I can’t imagine what OpenAI would be doing with them that wouldn’t work in OSX.

But maybe I’m missing what you’re implying here. And I’m sorry to come off as thorny, but condescending comments like “I’m not here to teach a computer science class” rub me the wrong way.