this post was submitted on 17 Jul 2024
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Showerthoughts

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A "Showerthought" is a simple term used to describe the thoughts that pop into your head while you're doing everyday things like taking a shower, driving, or just daydreaming. The best ones are thoughts that many people can relate to and they find something funny or interesting in regular stuff.

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Any tool can be a hammer if you use it wrong enough.

A good hammer is designed to be a hammer and only used like a hammer.

If you have a fancy new hammer, everything looks like a nail.

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[–] [email protected] 4 points 3 months ago (4 children)

you not liking it doesn't make it any less ai. I don't remember that many people complaining when we called the code controlling video game characters ai.

[–] [email protected] 2 points 3 months ago

Or called our mobile phones "cell phones", despite not being organic. Tsk.

[–] [email protected] 0 points 3 months ago (1 children)

pretty sure that they were and still are called Bots though, atleast in the context of first person shooter.

[–] [email protected] 2 points 3 months ago (1 children)

look at the NBT tags for bats for example. it means artificial intelligence.

https://www.digminecraft.com/data_tags/bat.php

[–] [email protected] 0 points 3 months ago* (last edited 3 months ago) (1 children)

next thing you gonna say that boids are AI too...

just because Mojang decided to name that flag noAI doesn't mean it uses AI to govern its behavior.

[–] [email protected] 1 points 3 months ago

Descriptivism advocates when AI smhingmyheads

[–] [email protected] -1 points 3 months ago* (last edited 3 months ago) (3 children)

Software developer, here.

It's not actually AI. A large language model is essentially autocomplete on steroids. Very useful in some contexts, but it doesn't "learn" the way a neural network can. When you're feeding corrections into, say, ChatGPT, you're making small, temporary, cached adjustments to its data model, but you're not actually teaching it anything, because by its nature, it can't learn.

I'm not trying to diss LLMs, by the way. Like I said, they can be very useful in some contexts. I use Copilot to assist with coding, for example. Don't want to write a bunch of boilerplate code? Copilot is excellent for speeding that process up.

[–] [email protected] 2 points 3 months ago (1 children)

LLMs are part of AI, which is a fairly large research domain of math/info, including machine learning among other. God, even linear regression can be classified as AI : that term is reeeally large

[–] [email protected] 0 points 3 months ago (2 children)

I mean, I guess the way people use the term "AI" these days, sure, but we're really beating all specificity out of the term.

[–] [email protected] 2 points 3 months ago

This is a domain research domain that contain statistic methods and knowledge modeling among other. That's not new, but the fact that this is marketed like that everywhere is new

AI is really not a specific term. You may refer as global AI, and I suspect that's what you refer to when you say AI?

[–] [email protected] 1 points 3 months ago

it's always been this broad, and that's a good thing. if you want to talk about AGI then say AGI.

[–] [email protected] 2 points 3 months ago

I know that they're "autocorrect on steroids" and what that means, I don't see how that makes it any less ai. I'm not saying that LLMs have that magic sauce that is needed to be considered truly "intelligent", I'm saying that ai doesn't need any magic sauce to be ai. the code controlling bats in Minecraft is called ai, and no one complained about that.

[–] [email protected] 1 points 3 months ago

Very useful in some contexts, but it doesn’t “learn” the way a neural network can. When you’re feeding corrections into, say, ChatGPT, you’re making small, temporary, cached adjustments to its data model, but you’re not actually teaching it anything, because by its nature, it can’t learn.

But that's true of all (most ?) neural networks ? Are you saying Neural Networks are not AI and that they can't learn ?

NNs don't retrain while they are being used, they are trained once then they cannot learn new behaviour or correct existing behaviour. If you want to make them better you need to run them a bunch of times, collect and annotate good/bad runs, then re-train them from scratch (or fine-tune them) with this new data. Just like LLMs because LLMs are neural networks.

[–] [email protected] -3 points 3 months ago (1 children)

That's because in that context it stands for Action Instruction, not Artificial Intelligence.

[–] [email protected] 1 points 3 months ago* (last edited 3 months ago) (1 children)

provably wrong. https://www.digminecraft.com/data_tags/bat.php look at the nbt tags, specifically the description of the no AI nbt tag

[–] [email protected] 2 points 3 months ago (1 children)

I have no idea what you just said.

[–] [email protected] 1 points 3 months ago (1 children)

I showed you proof that AI is sometimes used to mean artificial intelligence when describing code that controls video game enemies.

[–] [email protected] -1 points 3 months ago (1 children)

Ok, so this one specific fan wiki used it wrong. When I was in college they definitely called it "Action Instruction".

[–] [email protected] 1 points 3 months ago* (last edited 3 months ago) (1 children)

In video games, artificial intelligence (AI) is used to generate responsive, adaptive or intelligent behaviors primarily in non-playable characters (NPCs) similar to human-like intelligence. Artificial intelligence has been an integral part of video games since their inception in the 1950s

literally wikipedia https://en.wikipedia.org/wiki/Artificial_intelligence_in_video_games

[–] [email protected] 0 points 3 months ago* (last edited 3 months ago) (1 children)

AI in video games is a distinct subfield and differs from academic AI. It serves to improve the game-player experience rather than machine learning or decision making. During the golden age of arcade video games the idea of AI opponents was largely popularized in the form of graduated difficulty levels, distinct movement patterns, and in-game events dependent on the player's input.

In general, game AI does not, as might be thought and sometimes is depicted to be the case, mean a realization of an artificial person corresponding to an NPC in the manner of the Turing test or an artificial general intelligence.

Look further down to see what currently understood AI, aka generative AI, is used for in video games

[–] [email protected] 1 points 3 months ago (2 children)

I don't really see your argument? it seems that you agree with me. ai doesn't always refer to AGI. sometimes it refers to AGI, sometimes it refers to the code controlling the little ghosts in pacman, or the code controlling the bats in Minecraft. sometimes it refers to the machine learning algorithm that can detect numbers in an image, and sometimes it refers to generative AI like stable diffusion. my point is that ai is a very broad term that refers to many different things.

[–] [email protected] 1 points 3 months ago

Yeah but it shouldn't be used for many different things as it would diminish the meaning and would then just boils down to advance if statements.

[–] [email protected] 1 points 3 months ago

Read it again, they clearly disagree with you on the very last point.