I got you beat with my HP Mini running a 32-bit Intel Atom N270 that I use to develop games for the open source physiotherapy gamification device I made for my kid when I’m on the train.
Don’t want to carry my full-size gaming laptop to work just to do some light lua coding.
On some devices pretty much all custom roms are built on the same kernel published by the device manufacturer. So if there’s a bug in that (e.g. with power saving options) that could actually lead to symptoms like yours.
And that’s 60W while charging. In idle with the screen off, low end laptops often consume as little as 2-3W. Which is not far off from a pi.
That’s longer than I’d expect something like that to work.
I hope you already got all your data off the device. While this might work in the short term, this will very likely fail very soon.
That’s probably the biggest reason why pretty much everyone else uses BSD.
One big problem is that pretty much all of these devices have major downsides. For example, I don’t know a single repairable or rugged phone with an actually really good camera or a flagship SOC.
They also usually have a huge markup and are often produced by small boutique manufacturers with terrible support (like Fairphone) and/or really bad software (like Fairphone).
So if you have the choice to e.g. pay €600 for a Fairphone with its terrible camera, battery life problems, inexistent support, huge amount of bugs and frequent issues with network providers (e.g. VoLTE not working), or you pay €300 for a comparable Samsung with similar software support duration (6 vs 10 years) and it just works without issues.
If there was something like a Samsung A56 or even a Samsung S25 that’s nicely repairable and costs a maximum of €100 more than the regular version, that might be worth it.
But the way it is now, it’s much better to buy a regular phone and spend the €300 you saved on 1-2 professional battery replacements down the line.
BSD would have been a much better fit for many reasons. It was just started with Linux for mostly irrelevant reasons, and then it was too hard to switch away.
What dies that do? Just do noops heating up the CPU? How does it help?
They aren’t a technical bug, but an UX bug. Or would you claim that an LLM that outputs 100% non-factual hallucinations and no factual information at all is just as desirable as one that doesn’t do that?
Btw, LLMs don’t have any traditional code at all.
Yes, your fan art infringed on Blizzards copyright. Blizzard lets it slide, because there’s nothing to gain from it apart from a massive PR desaster.
Now if you sold your Arthas images on a large enough scale then Blizzard will clearly come after you. Copyright is not only about the damages occured by people not buying Blizzards stuff, but also the license fees they didn’t get from you.
That’s the real big difference: if Midjourney was a little hobby project of some guy in his basement that never saw the the light of day, there wouldn’t be a problem. But Midjourney is a for-profit tool with the express purpose of allowing people to make images without paying an artist and the way it does that is by using copyrighted works to do so.
It’s not anthropomorphizing, its how new terms are created.
Pretty much every new term ever draws on already existing terms.
A car is called car, because that term was first used for streetcars before that, and for passenger train cars before that, and before that it was used for cargo train cars and before that it was used for a charriot and originally it was used for a two-wheeled Celtic war chariot. Not a lot of modern cars have two wheels and a horse.
A plane is called a plane, because it’s short for airplane, which derives from aeroplane, which means the wing of an airplane and that term first denoted the shell casings of a beetle’s wings. And not a lot of modern planes are actually made of beetle wing shell casings.
You can do the same for almost all modern terms. Every term derives from a term that denotes something similar, often in another domain.
Same with AI hallucinations. Nobody with half an education would think that the cause, effect and expression of AI hallucinations is the same as for humans. OpenAI doesn’t feed ChatGTP hallucinogenics. It’s just a technical term that means something vaguely related to what the term originally meant for humans, same as “plane” and “beetle wing shell casing”.
With me too, my employer has to start worrying once I put my current position into my linkedin profile.
I agree with your final take, but why would you want to take frontend tickets if you can also do backend work?
Nope. Hallucinations are not a cool thing. They are a bug, not a feature. The term itself is also far from cool or positive. Or would you think it’s cool if humans have hallucinations?
Hallucinations mean something specific in the context of AI. It’s a technical term, same as “putting an app into a sandbox” doesn’t literally mean that you pour sand into your phone.
Human hallucinations and AI hallucinations are very different concepts caused by very different things.
You did not read your source. Some quotes you apparently missed:
Scraping to violate the public’s privacy is bad, actually.
Scraping to alienate creative workers’ labor is bad, actually.
Please read your source before posting it and claiming it says something it doesn’t actually say.
Now why does Doctrow distinguish between good scraping and bad scraping, and even between good LLM training and bad LLM training in his post?
Because the good applications are actually covered by fair use while the bad parts aren’t.
Because fair use isn’t actually about what is done (scraping, LLM training, …) but about who does it (researchers, non-profit vs. companies, for-profit) and for what purpose (research, critique, teaching, news reporting vs. making a profit by putting original copyright owners out of work).
That’s the whole point of fair use. It’s even in the name. It’s about the use, and the use needs to be fair. It’s not called “Allowed techniques, don’t care if it’s fair”.
Tbh, this is not a question about scraping at all.
Scraping is just a rather neutral tool that can be used for all sorts of purposes, legal and illegal.
Neither does the technique justify the purpose nor does outlawing the technique fix the actual problem.
Fair use only applies for a certain set of use cases and has a strict set of restrictions applied to it.
The permitted use cases are: “criticism, comment, news reporting, teaching (including multiple copies for classroom use), scholarship, or research”.
And the two relevant restrictions are:
(Quoted from 17 U.S.C. § 107)
And here the differences between archive.org and AI become obvious. While archive.org can be abused as some kind of file sharing system or to circumvent paywalls or ads, its intended purpose is for research, and it’s firmly non-profit and doesn’t compete with copyright holders.
AI, on the other hand, is almost always commercial, and its main purpose is to replace human labour, specifically of the copyright owners. It might not be an actual problem for Disney’s bottom line, but it’s a massive problem for smaller artists, stock photographers, translators, and many other professions.
That way, it clearly doesn’t apply to the use cases for fair use while violating the restrictions.
And for that, it doesn’t matter if the training data is acquired using scraping (without permission) or some other way (without permission to use it for AI training).
In that case, nothing is stopping you from saying the month only.
Yeah, I’m just baffled that it lasts this long, tbh.
I wonder if it may be some otger hardware issue, e.g. some clock generator degrading and only working at a certain temperature or something like that.