Hence:

X officially changes block function

https://www.wcnc.com/article/news/nation-world/x-block-changes-twitter/507-931ed7fc-cacd-4550-b850-b5d235533227

Here’s a fun new one, no longer able to block accounts on pages. Thanks, Meta

https://www.reddit.com/r/facebook/comments/1ps4r5d/heres_a_fun_new_one_no_longer_able_to_block/

Under the new system it actually lets the blocked person know they are blocked, which is horrible design because they now know that they need to use an alt to send you mean messages. Under the old system they don’t actually know if their messages are getting through, so it is better in that regard.

https://www.reddit.com/r/self/comments/1st24au/reddits_new_block_feature_is_bizarrely_antisocial/

Blocking someone reduces ragebait engagement, and they can’t have that, I guess…

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.

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.

I wish Trump had a list of his biggest donors taped to his forhead.

And a picture of the inauguration dinner on his suit.

Then the reasoning behind this would be obvious to his supporters…

You put that incredibly abrasively, and the analogy is questionable (as we are talking dev tooling here).

…But your point is technically correct.

Contributors who you will NOT like contribute to useful projects. And your contributions will get used for things you don’t like. That is, indeed, how open software works, and what makes it inclusive.

Whoa, that is very unlike Debian.

I think the root is not doing enough to address problematic party politics. That’s the real concern you have here, OP.

This, indeed, was George Washington’s fear. At his farewell address and AFAIK to his death.

I think you double posted.

Agreed, though.

But I would bet Putin is too deep in his information bubble to give that message much weight.

He noted that the life expectancy of a Russian soldier on the front lines was less than 35 minutes.

That is horrific.

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.