> On a phone keyboard, sure, it's as hard as an accent sign (á, for example), difficult but not twrrible. But on a keyboard? Yeah, no one is typing in Alt combos when literally any other construction will do.
For me, --- gets converted to an em-dash (—) while typing, if I have my input method (ELatin) enabled. I'm so used to typing in while working in LaTeX I can easily slip it in elsewhere.
Correct; the ability of a model to reproduce source material verbatim does not necessarily make the model's existence illegal. However, using a model to do just that might very well present a legal liability for the user. I would be interested to see the extent to which models can "recite from memory" source code, e.g., from the various MS code leaks. Put another way, if I'm using LLM code generation extensively, do I need to run a filter on its output to ensure that I don't "accidentally" copy large chunks of the Windows codebase?
I wonder why that would be? Presumably if the batteries are low then the pressure the machine "thinks" it's inflated the cuffs to is higher than the actual pressure...
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I miss TkDesk, which I discovered many years ago when I was first trying Linux, partly because it supports unlimited splits, not just two. In fact, if I'm remembering correctly, when navigating to a subdirectory the default was just to open it in a new split. You ended up with splits containing the full path from wherever you started to your eventual subdirectory (you could scroll the view of splits horizontally once there got to be too many).
This also lets you run QEMU over SSH, if you want. I use this in my assembly language course; towards the end I give an assignment to write Hello, World! as a 16-bit real mode MBR bootloader. Students can do the whole thing on our SSH server, including testing in QEMU (and even attaching GDB to it to debug) not needing to install anything locally.
Honestly it's a large enough library with enough weirdness and untested areas, footguns, and bugs that I'd deem it just as valid as React for example.
Why did tensor_parallel have output += mod instead of output = output + mod? (The += breaks backprop). Nobody tested it! A user had to notice it was broken and make a PR!
For an uni course I tried to fine tune Gemma in a few days, it wasn't easy because tutorials often were written with old version of hf libraries that now work differently, there's a lot of areas to improve, everything still seems kinda fresh and so it's a pain in the ass to deviate from simple walkthroughs to something tailored to your needs.
I've found I benefit most from AI when I ask it questions about technical topics, like programming or using a device like a synthesizer or DAW software. There's pshychological effect I get especially when I get an answer that says "that feature is not supported". I get the feeling that it's not my fault that something feels very difficult, I know WHY it is difficult when somebody tells me there is no easy way to do what you want, so I don't waste any more time trying to find the solution. I must look elsewhere then.
So I wonder, trying to learn AI and how to use it, shouldn't the AI itself be the best guide for understanding AI? Maybe not so much with the latest research or latest products, because AI is not yet trained on those, but sooner or later AI should feel as easy a subject as say JavaScript programming.
Maybe that's why the models are so eager to spit out reams and reams of code, it lets their masters claim a higher percentage (even if most of the code they emit is never used).
My wife and I agreed to expunge "just" from our vocabulary, at least with regards to asking to do this. It's almost always kind of belittling, implying that the thing you're asking for is easy and obvious, and you're an idiot/lazy for either not doing it already or trying to explain why its more difficult that it looks.
For me, --- gets converted to an em-dash (—) while typing, if I have my input method (ELatin) enabled. I'm so used to typing in while working in LaTeX I can easily slip it in elsewhere.