dream_weasel

Time to learn hexadecimals and how to potato I guess.

Nah, I got a gig that lets me work how I want within reason. I’m just sympathetically neurotic.

I think that depends a lot on what you’re expected to do. I’d write an email like this if I were expected to be an effective developer on a Windows system. I use Linux because I use vim, not the other way around. I can’t WSL for linux to use tmux or something and be nailed to one laptop screen, it just isn’t worth it. Besides the whacky clipboard problems, it’s just not sustainable to be permanently containerized in your host system IMO.

Now if you are using an "I"DE like vscode or something it’s maybe not so bad because it at least plays on windows. Gvim is trash, and the whole reason to really lean in to vim/nvim is to sew your development environment right to any other program you need.

IDK, there’s a dollar value beyond which I would not care, but it’s a gross amount.

Chess.com. Its totally worth it for the game review which is the part of it I’d consider a “service”, but there’s other good stuff in there if you like to play.

The joke is that stopping discussion is healthy (which was obviously wrong). So I said I was stopping you–and thus the discussion–and then showed it was healthy with a salad.

I get it. You can’t get by “Ai iS slOp” at top level comments anymore. I get that kind of ending because I would add it… but then I also don’t mind collecting downvotes so ymmv I guess.

I feel like there needs to be a dedicated post (and I don’t want to write it, but maybe I eventually will) that outlines what a model really is. It is not just a statistical text prediction machine unless you are being so loose with the definition of “statistical” that it doesn’t even mean anything anymore.

A decent example of a statistical text prediction machine is the middle word suggested by your phone when you’re using the keyboard. An LLM is not that.

In the most general terms, this kind of language model tokenizes a corpus of text based on a vocabulary (which is probably more than just the words in the dictionary), uses an embedding model to translate these tokens into a vector of semantic “meaning” which minimized loss in a bidirectional encoding (probably), that is then trained against a rubric for one or more topic area questions, retrained for instruction and explainability, retrained with reinforcement learning and human feedback to provide guardrails, and retrained again to make use of supplemental materials not part of the original training corpus (resource augmented generation), then distilled, then probably scaled and fine tuned against topic areas of choice (like coding or Korean or whatever) and maybe THEN made available to people to use. There are generally more parts to curriculum learning even than that but it’s a representative-ish start.

My point being that, yes, it would be nuts to pose ANY question to a predictor that says “with 84% probability, the word that is most likely follows ‘I really like’ is ‘gooning’ on reddit”, but even Grok is wildly more sophisticated than that and Grok is terrible.

Edit: And also I really like your take at the start of this thread: user error is a pretty huge problem in this space.

A little personal flourish doesn’t invalidate the rest IMO. Humans get aggravated and humans are aggravating.

20 line commit: 5 issues and suggestions.

500 line commit: “looks good to me!”

I’m just gonna stop you right there.

🥗

I’ve got 2 of them and we will just drive them until they die. It’s the only option.

Lots of complexity in a hybrid, and gas does eventually go bad if you don’t use it. Though when I used to have a motorcycle it always ran after the winter in the garage so idk how long that actually takes to happen…

I drive a 2018 tesla model 3. I wish I did not drive a tesla… Some other EV that can use the supercharger network would be good.

Your last paragraph nails it. I’m not trying to get the whole world to switch, but I’d be happy to get the like minded peopleout who haven’t switched.

When it stops being a tool that works for me and starts working for corpos, well, then I will be in the minority again.

This topic used to come up all the time on Reddit subs, but this is the first time I can remember seeing it on Lemmy.

Alcohol not until I was 20. Weed not until like 25 I think. You’re probably about around the average age to try for US kids and a little late for euro kids it seems like.

Straight to the bootyhole.

2. Put your junk in that box!

You should be all the way joking because giving this sort of agency to an LLM shows an all the way misunderstanding of what they are and how they work.

You not alone in these feelings, but just like the title of the article, they are fundamentally misguided.

The difference is when a LLM tells you, it’s news.

Besides, what are you gonna do if you ask AI how many rocks to eat? NOT eat rocks? People can’t handle responsibility like that.

There’s a little space between being pro-AI and refraining from shoe-horning really clever burn words like “slop”, “clown”, and “dumb” into the names of things. It shows the same mastery of derision and humor as playground fart jokes. Chuds trot those out, and it’s a huge eyeroll; we can do better.