“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? 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.

Useful insight that some MBA types consider debt to be a good thing, so it makes sense to use a different term than technical debt. “Operational drag” doesn’t quite hit the mark though, IMO.

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.

Repo level markdown files with architectural guidance not working for example… I’ve found that works quite well.

Same. AGENTS.md files and the like are quite effective. Especially if you’re reviewing the code and making the LLM help you update the markdown files when it makes a mistake to prevent the same type of mistake in the future. Having concrete examples of “good” vs. “bad” to illustrate each architectural rule goes a long way.

For any feature or bug fix that is “painting with the colors already in the tray”, it makes sense to let a LLM write the code. Humans will introduce new tech and new patterns out of boredom and turn the codebase into a big Frankenstein, but the LLM will just follow the architectural guidelines indefinitely.

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.

If the Meta devs find their work drying up as a result and are risking a layoff, they could always contribute anonymously to keep the racket going perpetually.

Agreed, this is one way that LLMs can increase the quality of code.

Wow, nice. It sounds like Asus makes it the easiest, reimbursing for the license without shipping your machine to them. I don’t understand why the others that will reimburse require physical inspection of the machine.

Maybe they don’t make it like that anymore, but AI will surely be used to pump out a bunch of slop just like it.