I mean, yeah… It’s a blue checkmark account.

At this point, if you’re paying for extra engagement on Twitter, that is beyond “benefit of the doubt.” It seems safe to assume its some kind of attention farm.

At risk of being abrasive…

I see blue checkmarks, I downvote. Nothing personal. But I don’t want to support that even indirectly.

Be careful about assertions like that, though. Misinformation taken as fact is posted all the time… just yesterday, I looked up some picture everyone was harping on in a comment with hundreds of upvotes, and it was totally fake. Probably AI generated. No one even checked.

And when I’ve pointed this out in the past, no one cared. People only prune information if it doesn’t validate their beliefs.

I’m not saying the Factorio dev isn’t a jerk, necessarily, just that I don’t trust Fediverse commenters to have an ounce of information hygiene.

No. You ghost her. And you get everyone you can to ghost her.

Don’t feed the trolls. Anything else is just getting her engagement, even so much as mentioning the issue.

Also:

for some LGBTQ+ people to shoot videos telling how HP helped them to come out of hiding and reveal their true self to the world.

Thousands (millions?) of people have already done this. Hence the HP fanfic community is notorious for heavy LGBTQ+ plots, which is partially why her position is so ridiculous.

I know that Kovarex is a piece of shit but I still enjoy factorio.

You talking about this?

https://nichegamer.com/factorio-founder-kovarex-interview-cancel-culture-and-secret-support/

Eh, that’s problematic, but it feels mild by 2026 standards. Tons of people are abrasive and won’t admit they were wrong or went too far… shrug.

But yeah, I guess I’m saying I agree with you. JK Rowling’s actions are not personality “quirks,” nor one-off events, nor tertiary reactions. Not even close.

To illustrate what I mean more clearly, look at the top comments/replies for the NASA Artemis posts, as an example.

…It’s basically all conspiracy theorists, and government skeptics.

Twitter’s focusing the Artemis posts on them because it’s what they want to see, and most engaging for them.

In the EFF’s case, I’m not just talking about Musk’s influence. The algorithm will only show the EFF to users who would be highly engaged by it. E.g., angry skeptics who wouldn’t be swayed by the EFF anyway, or fans who already agree with the EFF. It’s literally not going to show the EFF to people who need to see it, as Twitter’s metrics would show it as unengaging.

This is the “false image” I keep trying to dispel. Twitter is less and less an “even spread” of exposure like people think it is, like it sort of used to be, more-and-more a hyper focused bubble of what you want to hear, and only what you want to hear. All the changes Musk is making are amplifying that. Maybe that’s fine for some orgs, but there’s no point in the EFF staying in that kind of environment, regardless of ethics.

I feel like the EFF’s messaging is just not going to get through to anyone still on Twitter.

Remember, it’s not a fair forum; it’s an algorithm. And it’s not going to show the EFF to users who need to see it.

Hardly. Power costs are trivial to them at the moment, and a server hardware bottleneck would just consolidate power to the big few that can afford it (which is what they want).

To add to what others said:

LPDDRX is used in some inference hardware. The same stuff you find in laptops and smartphones.

Also, the servers need a whole lot of regular CPU DIMMs since they’re still mostly EPYC/Xeon severs with 8 GPUs in each. And why are they “wasting” so much RAM on CPU RAM that isn’t really needed, you ask? Same reason as a lot of AI: it’s immediately accessible, already targeted by devs, and AI dev is way more conservative and wasteful than you’d think.

Same for SSDs. Regular old servers (including AI servers) need it too. In a perfect world they’d use centralized storage for images/weights with near-“diskless” inference/training servers. Some AI servers do this, but most don’t.

Basically, the waste is tremendous, for the same reason they use cheap gas generators on-site: it’s faster-to-market.

What would happen if a tanker was destroyed and spilled out there?

Imagine if you showed this to someone in ~2009.

Even not-fully-reproducible open-weights models are extremely important because they’re poison to OpenAI, and they know it. It makes what they’re trying to commodify and control effectively free and utilitarian.

But there are fully open models, too, with public training data.

It’s anticompetitiveness.

They want to squash open models, and anyone too small to comply with this.

I say this in every thread, but the real AI “battle” is open-weights ML vs OpenAI style tech bro AI. And OpenAI wants precisely no one to realize that.

Not me.

I wanna be there to report every attribution-cropped post I can find, at least in subs where it’s applicable. And repost it without the crop, then tell everyone to watch out for your posts.

Ughhh, I could go on forever, but to keep it short:

• Tech bro enshittification: https://old.reddit.com/r/LocalLLaMA/comments/1p0u8hd/ollamas_enshitification_has_begun_opensource_is/

• Hiding attribution to the actual open source project it’s based on: https://old.reddit.com/r/LocalLLaMA/comments/1jgh0kd/opinion_ollama_is_overhyped_and_its_unethical/

• A huge support drain on llama.cpp, without a single cent, nor a notable contribution, given back.

• Constant bugs and broken models from “quick and dirty” model support updates, just for hype.

• Breaking standard GGUFs.

• Deliberately misnaming models (like the Deepseek Qwen distills and “Deepseek”) for hype.

• Horrible defaults (like ancient default models, 4096 context, really bad/lazy quantizations).

• A bunch of spam, drama, and abuse on Linkedin, Twitter, Reddit and such.

Basically, the devs are Tech Bros. They’re scammer-adjacent. I’ve been in local inference for years, and wouldn’t touch ollama if you paid me to. I’d trust Gemini API over them any day.

I’d recommend base llama.cpp or ik_llama.cpp or kobold.cpp, but if you must use an “turnkey” and popular UI, LMStudio is way better.

But the problem is, if you want a performant local LLM, nothing about local inference is really turnkey. It’s just too hardware sensitive, and moves too fast.

I’d be fine if these studios just…vanished

Outside mobile, it would honestly be a boon to gaming.

Think how much attention and funding they suck up from smaller studios/publishers making great games. Folks have no idea what they’re missing.

Also, for any interested, desktop inference and quantization is my autistic interest. Ask my anything.

I don’t like Gemma 4 much so far, but if you want to try it anyway:

• On Nvidia with no CPU offloading, watch this PR and run it with TabbyAPI: https://github.com/turboderp-org/exllamav3/pull/185

• With CPU offloading, watch this PR and the mainline llama.cpp issues they link. Once Gemma4 inference isn’t busted, run it in IK or mainline llama.cpp: https://github.com/ikawrakow/ik_llama.cpp/issues/1572

• If you’re on an AMD APU, like a Mini PC server, look at: https://github.com/lemonade-sdk/lemonade

• On an AMD or Intel GPU, either use llama.cpp or kobold.cpp with the vulkan backend.

• Avoid ollama like it’s the plague.

• Learn chat templating and play with it in mikupad before you use a “easy” frontend, so you understand what its doing internally (and know when/how it goes wrong): https://github.com/lmg-anon/mikupad

But TBH I’d point most people to Qwen 3.5/3.6 or Step 3.5 instead. They seem big, but being sparse MoEs, they can run quite quickly on single-GPU desktops: https://huggingface.co/models?other=ik_llama.cpp&sort=modified

There’s a whole lot of interest in locally runnable ML. It was there even before ChatGPT 3.5 started the tech bro hype train, when tinkerers were messing with GPT-J 6B and GAN models.

In a nutshell, it’s basically Lemmy vs Reddit. Local and community-developed vs toxic and corporate.

They seem to have held back the “big” locally runnable model.

It’s also kinda conservative/old, architecture wise: 16-bit weights, sliding window attention interleaved with global attention. No MTP, no QAT (yet), no tightly integrated vision, no hybrid mamba like Qwen/Deepseek, nothing weird like that. It’s especially glaring since we know Google is using an exotic architecture for Gemini, and has basically infinite resources for experimentation.

It also feels kinda “deep fried” like GPT-OSS to me, see: https://github.com/ikawrakow/ik_llama.cpp/issues/1572

it is acting crazy. it can’t do anything without the proper chat template, or it goes crazy.

IMO it’s not very interesting, especially with so many other models that run really well on desktops.

it’s a form of private journalism, private opinion, and private art

But without any of the liability hazard.

This is my issue: the big platforms having their cake and eating it. In one breath, they claim to be little open-platform garage startups that can’t possibly be responsible for the content of their users; they’re just a utility. They need protection from Congress. In another breath, they’re the stewards of generations and children, the only ones responsible enough to tame the internet’s criminality. All while making trillions.

They want to be “private content” protected from the government? Fine. Treat them like it, legally.