Low dynamic range

Which six?

You should not use a laptop as a server in that case.

Lithium batteries in laptops can degrade in a way that builds up a significant amount of flammable hydrogen gas. It explodes!

Even if there is no catastrophe, the computer will run slowly and get hot because its old thermal paste isn’t doing enough to keep the cpu cool.

Go in and repaste the cpu, dust out the fan and see if you can remove the battery and still have the thing run before you do this.

Can you articulate why?

Yeah that’s the problem: accepting that there is some other failure happening, broadly defined as a lack of “q” factor, forces people to grapple with the fact that open source has historically been the purview of the bad programmers self promoting their learning projects.

There are cases to the contrary of course and that’s not the rule, but no one cared about these behaviors until now and their care is all focused on ai use as opposed to the behaviors of the programmer in question.

Your response is a perfect example: even though you’re declaring what the person is responsible for you can’t articulate what the consequences of that responsibility are.

I’m not picking on you either, this has been a problem for thirty years, oh you just graduated? Grind away at the gnu tools or some open source stuff so you have something to point at in interviews. Youre reimplementing an x feature in windows having finished a book on c++? Throw it up on sourceforge.

I’m not interested in explaining this on the world version of this thread (or at least the one with a million posts that shows up in active/all) because even drollaccount69 has his limits, but this has nothing to do with repairability or “them” trying to get one over on “you”.

Over the past few years gpus have become hard to buy at msrp. People want to use them for ai. The memory chips are expensive and it’s worth it to solder a gpu core and twice the memory to a customs third party pcb to be able to sell the finished much more memory dense card. You can buy 4090s and 4080s with 48 and 32gb of vram respectively on eBay now and even larger configurations directly from shops that do them although maybe not on those specific cards.

But where do they get cores and the extra vram? They don’t buy the fucking chips from mouser, I can assure you of that fact. They get the vram and core chips off other gpus. So prices of gpus which would otherwise have no value to ai scalpers because of their low computational efficiency or memory density still track the premiums the big cards command because they get their cores and or vram pulled.

If that sounds crazy, as a person who has a fairly high degree of experience with microsoldering, it is. Those vram and especially core chips are huge and the boards they’re on are thick and the degree of skill required to desolder them successfully and consistently, even with every trick and tool at your disposable is very impressive.

I used to make people sign waivers before I’d do that kind of work because there’s a real, unavoidable chance of unrecoverable damage. It’s crazy.

So it should come as no surprise that designers of SBCs which have interesting computational capabilities and are differentiated by the soldered on ram are looking at clandestine bga rework shops essentially doing wizard shit at scale and thinking carefully about how they can keep those people from trying the same shit with their products.

Now you may think that still counts as hurting the customer, but in a world where there’s mounting incentive to yank ram modules from one piece of equipment and put them on another in order to sell a super high capacity device at a premium, preventing that kind of modification protects the customer of low ram devices. Which most home users of SBCs are.

Lest you start to think the sbc people are your friends, most of their sales are of low ram skus. They want to sell more units and having them all get snatched up and Frankensteined is bad for business.

It should also be noted here that Nvidia doesn’t care if an insane dystopian high tech black market sprouts up around their consumer shit, the only money that matters to them is in gb and vr racks sold directly. That black market could most likely sink rpi holdings if the same thing happened with their stuff.

Since speaking directly to the proposed change didn’t do much, here’s an alternative to “banning ai slop”:

Ban the thing that’s happening. If there are too many “low effort” posts, ban low effort posting. If there are too many posts about non open source packages, ban posting about non open source software. If you really don’t want people self promoting with open source (a thing they’ve been doing for decades!) then ban self promotion.

The problem with all the things I just suggested is that they require serious consideration on the part of a moderator. “Is this post too low effort?”, “is this person promoting themselves in a way the community doesnt want?” and “is this post even about open source?” Are questions that require moderator effort. “Was the repo signed by Claude?” Takes no effort to answer.

Of course kicking kids out of the sandbox for not playing right kind of defeats the purpose of a sandbox and placing unnecessarily high barriers to entry on the commons defeats the purpose of a commons but what the hell do I know…

Huh?

Because someone will just make c/realopensource and more people will post there than here.

You’re describing a situation where fewer people adopt ai tools for programming or the adoption rate stays the same. That seems unrealistic. I guess you could also be describing a situation where lots of lemmy users start programming and avoid this community because of its ai ban. That seems like it would be bad though, surely you don’t want a bad thing to happen…

Basing the path of a community on what will be tolerated or even boosted by its most vocal members is not necessarily the best choice.

A better path is probably to make a dedicated hand coding community and use that instead of hijacking the extant open source community.

I honestly see it the opposite way. Graphene is doing their level best to turn Android into iOS with none of the benefits.

They’re doing all the stuff apple did for hardware except they can’t make their own so they’re chasing stuff with the security features of iphones, they’re rewriting the system apps to take advantage of those features (like apple did) but they don’t have the benefit of a cloud data system or oversight of their app marketplace.

I use graphene and ios daily. It’s really interesting how they’re going about all this.

If you adopt a hardline anti ai stance you will just have to reverse it or become an unused backwater.

E: tagging is also stupid because a tag is self imposed and doesn’t discriminate between a person who is careful or otherwise.

I use both graphene and ios and graphene on pixels is even slower than pixels are by default.

You need to restructure your priorities.

Or use a ca, vps and dns provider that’s hostile to the west.

It’s not a question of supporting “freedom” and if you insist that it is, I will gladly provide all those services to you for a slight markup (price of freedom!).

Llms have been great for finding and fixing bugs and cranking out code, but the systems that allow for generation of code at a direct cost of dollars as opposed to the overhead of managing and employing programmers aren’t under the intense pressure to not redo old work and so are disincentivized from either creating or contributing to open source projects.

You’d need to sub in a diode. Theres only about a million and a half different ones so youll need to figure out the size, breakdown, drop, uh, power handling, something else probably then desolder the one on there and solder in your new one.

A lot of stuff just uses light pipes to bring diodes to some nebulous “front” because it’s easier.