any actually useful real world tasks you need at least 24GB you can dedicate to the LLM alone, and if this is fully GPU vRAM

Agreed. For anyone who doesn’t have a 24GB card, the AMD 7900 XTX is basically the only sanely priced 24GB GPU left in 2026 and can be had for under a grand new, whereas even a used 3090 is $1200 and $2000 new.

Qwen 3.8 27B runs nicely on my XTX. I have to use Claude at work, and Qwen 3.8 in llama.cpp with the OpenCode desktop app leaves nothing to be desired in comparison. 3.8 27B is about on par with Sonnet 5 according to benchmarks, though I even prefer it over Opus because Qwen writes in clear, understandable language. We are at the point now where anyone with a 24GB GPU has little reason to use data center LLMs.

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obtaining games through unauthorised means

If games are going to have DRM, collect our data through unauthorized means, and be randomly taken away without our authorization, then exactly what social contract are we upholding?

Yeah, pretty sure rote translations of the same logic into a different language is considered a derivative work. This is why companies making their own version of copyrighted software often take a “clean room” approach to cover their asses where different people study the existing software and write the spec than the people implementing the spec.

Not that bootleg videos are really even watchable in the first place. Anyone who has ever misconfigured Radarr and got excited that a movie showed up earlier than expected, only to find out it’s a shitty hdcam release knows the disappointment.

A screen recorded with Meta spy glasses would be worse. Hold your head still, damnit—no, look at the screen, not your popcorn, and chew quietly for fuck’s sake.

I suppose I’m not that up to date on Japanese government and politics. Can you elaborate?

“Top 10 most popular Linux distro” type articles I’ve seen usually list Mint near the top.

Andrew Ng said artificial neural networks are like a “cartoon brain”, which I think is pretty apt. It’s cool that having billions of parameters (cartoon “synapses”) can result in emergent behavior where a machine can “reason”. That was the original idea from as far back as the 1940s, and now we have the compute and have found a transformer architecture that can achieve the original vision. Very cool indeed. What’s not cool is the tech bros turning the tech into a large scale game of blackjack.

So the criteria is something running the Linux kernel with no concern for what the user space is and ChromeOS is fine? Kind of reminds me of the movie Uncle Buck when he said he quit smoking and switched to cigars.

If streaming shitty shows doesn’t work out, they could always change the spelling to “Pee Cock” and do porn instead.

It makes sense that if you can’t be bothered to write it, then I can’t be bothered to read it.

Also, the term “AI slop” puts the blame on a machine instead of the lazy human who doesn’t give a shit and can’t be bothered to so much as proofread a machine’s output based on their half-assed input before subjecting other humans to it and wasting their time.

I used to run Gitea and switched to Forgejo mainly because I prefer a community project over one run by a for-profit company. I never had any substantive complaints against Gitea during my time with it to be honest, but thought I’d get off of it before investing too much further in case it went in a bad direction.

Self-hosted Forgejo works well for my own use. My employer is moving to GitHub Enterprise where it’s a separate instance per company with certain infra shared. Should be a slight improvement, I guess, though probably not a bad idea to make sure internal tooling is built with the git forge being configurable. 😉

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Cool, but I’ll stick with Sunshine and Moonlight.

The emergent behavior in huge models where it can “reason” instead of simply predicting the next token is fascinating. Artificial “neurons” built on statistics and linear algebra emerge to create something that legitimately has artificial intelligence. ANNs were conceived in the 1940s, building on centuries of development in statistical modeling and only now do we have the compute power to make this vision a reality.

Yes, the “intelligence” has significant limitations and won’t be replacing human intelligence anytime soon, but it can actually be a useful tool if its limitations are kept in mind.

The problem is of course the tech bros turning centuries of innovation they had no part in developing into a massive Ponzi scheme for their own profit.

Same.

Right? Hunyuan 3D is open weight, free to use, and probably not too far off from the cloud-based services that charge per credit.

Yes, dipshits like that should be banned from the medical profession.

It will have strong privacy and security options so you can trust it to handle all of your personal content knowing that no one else can access your information, similar to how encryption works on WhatsApp

Judging by how “private” WhatsApp is, no fucking thank you.