I kind of brought this up in another comment, that “first” and “1st” aren’t really the same thing. Which is confusing when you extend that to fourth/4th five/5th. I don’t generally see someone write “zeroith”, but I’ll see “0th”.

I feel like the joke would’ve landed better if it said “first”. I know it’s pronounced the same way, but I’m gonna argue anyway that there’s a subtle difference. I’ve heard 0th used in cs to describe what was at the 0-index, so in that context 1st would be"second", but “first” generally means “nothing before it”. English is weird. I wonder if anyone knows whether the word “first” or “1st” came 1st (lol)?

This is rapidly becoming less and less true unfortunately

Reference: https://youtu.be/fXZj4Wy58Pk?si=s3te3a9tq-J4muWi

What programming language is Afungus Amongus?

It’s just another tool. For me personally, at worst it’s like advanced rubber ducky programming. As long as you have the discipline to not use code that you don’t understand you’ll be fine, but that goes for any resources, LLM or not.

So, do I ssh into the chicken or…

porn.xml

If I had a nickel every time I read it like that

Same and agreed, especially if you keep your functions small and focused as you should. 3-5 indents is nbd to keep track of, and if you need more than that… No you don’t, refactor.

I’ve had way more hangups with brackets then indentation, personally, not that either is a super frequent issue, but I’m indenting anyway, so brackets are redundant and just another thing I have to keep track of

You didn’t even finish

Machine learning is a subset of artificial intelligence, along with things like machine perception, reasoning, and planning. Like I said in a different thread, ai is a really, really broad term. It doesn’t need to actually be Jarvis to be AI. You’re thinking of general ai

“Aware of its surroundings” is a pretty general phrase though. You, presumably a human, can only be as aware as far as your senses enable you to be. We (humans) tend to assume that we have complete awareness of our surroundings, but how could we possibly know? If there was something out there we weren’t aware of, well we aren’t aware of it. What we know as our “surroundings” is a construct the brain invents to parse our own “raw sensor data”. To an LLM, it “senses” strings of tokens. That’s its whole environment, it’s all that it can comprehend. From its perspective, there’s nothing else. Basically all I’m saying is that you seem to be taking awareness-of-surroundings to mean awareness-of-surroundings-like-a-human, when it’s much more broad than that. Arguably uselessly broad, granted, but the intent of the phrase is to say that an AI should observe and react flexibly.

Really all “AI” is just a handwavy term for “the next step in flexible, reactive computing”. Today that happens to look like LLMs and diffusion models.

AI is broader term then you think, it goes back to the beginnings of modern computing with Alan Turing. You seem to be thinking about the movie definition of AI, not the academic.

Not sure why you’re being downvoted, this might be the best feature of Google photos

Basically how I do rubber duckie debugging

See? It should work because I initialize it as this and iterate doing this and this which gives me a data structure like this and … wait … oh hell that clearly doesn’t produce the data structure I want. 🤦

We tend to see what we want to see, not what actually is.

The feeling before writing a piece of code in an empty file isn’t unlike the feeling I get when I’m about to step into the hot tub. Once I’m in I’m good, but I really have to psyche myself up to get in

Edit: Come to think of it, it’s the same with writing

Which bible passage is that again?

And even if they do need to train a model, transfer learning is often a viable shortcut

Skinnier tires are actually better in snow because they can dig down to the ground somewhat and find traction there. Wide tires tend to float on top of the snow because of the larger contract patch (but not enough to stay above it, that requires huge, under-inflated-balloon-like tires like what you’d need on an antarctic expedition)