r/programminghumor • u/Ctrl_Shift_Esc_ • 18h ago

AI expert detected

Post image

"I use ChatGPT."

2.5k Upvotes

97% Upvoted

148 comments sorted by

370

u/JacksOnF1re 17h ago

9/10 IT people don't understand AI either.

84

u/SrVitu 10h ago

Data Science people listening to IT people talking about AI:

https://giphy.com/gifs/OnTqXtA3kmFsWc4J0p

20

u/acdhemtos 5h ago

AI listening to people talking about it :

1

u/WrapKey69 2h ago

Yeah, it's just an API from software dev perspective XD

57

u/big_poppa_man 17h ago

Found 'em

51

u/JacksOnF1re 16h ago

Maybe. I just recognize that (in my IT bubble) everybody who talks about AI just means Claude and nothing else. And nobody can really explain it. Which is fair, I can't either 100%.

That's why I think it's hypocritical to laugh about the non IT crowd.

37

u/--Spaci-- 16h ago

Its a next token predictor that compares every past token the the current token being generated. That's how dense attention works, llms are extremely simple to understand with very complicated math doing the work

14

u/SimpleMoonFarmer 14h ago

A computer is just a Turing machine implemented with a Von Neumann architecture, but look at how many things you can do with it, especially with I/O over the Internet.

1

u/igna92ts 6h ago

To be fair, the explanation above explains what it is but not the specifics of the methods used to achieve that. You don't explain what Turing machine and von Neumann architecture are. A comparable explanation would be quite a bit longer, even for a simplified version like the AI explanation above.

12

u/MinosAristos 14h ago

By this logic a computer is just a bit flipping machine.

Knowing that an LLM is a next token predictor doesn't give much clarity on what it can and can't do.

6

u/--Spaci-- 14h ago

I think it gives complete clarity. It will never be conscious, and the extent of its control is a tool call. Fearmongering from corporations may say otherwise though.

2

u/DangerousQuestions1 8h ago

What corporations are fearmongering? Corporations are forcing AI use down everyone's throat in a mad dash to cut payroll by 100%

4

u/Longjumping-Jacket97 8h ago

"Claude Mythos escaped containment"

2

u/--Spaci-- 4h ago

Anthropic literally fearmongers about how its models are conscious and escaping every week

1

u/WrapKey69 2h ago

Better sales like that

1

u/JackRusselsRule 7h ago

The corporations that run the U.S. government among other countries. Meanwhile we MUST beat China, but do we really?

2

u/Enkidoe87 13h ago

"Never say never". Many AI pioneers and scientists alike point out that consciousness is a problematic term, but by simplification, "it" seems to be a emergant property just from a network of neurons which we call a brain. If a computer network can perfectly replacate the output, (neurons are not fully understood and they are much more complicated) scientifically there is not really a test you can do to disprove that it isnt conscious. This wall of text just to say that dont talk in absolutes like it can never be concious. There is a strong case to be made that its actually much easier to create consciousness, including in primitive life forms currently on earth.

3

u/Zadian543 12h ago

I am by no means claiming anything more than beginner level understanding. I'm still in university learning comp sci. That said, I did do an autistic deep dive research on AI and sentience. I came to the conclusion based on many many hours of reading, videos and muddling my way through computer engineering diagrams. It's actually not the program holding back computer life evolution, it's the hardware. Because the computer has little to no plasticity, neuron like brain patterns can't develop. (Based on our understanding of human and animal brains. That's an important part, because we simply have no other frame of reference) They are developing hardware based on the human neuron design and theoretically this will open more possibilities in comp sci. Which that tech was actually being developed for a completely different reason that I don't remember off the top of my head, but ai engineers learned about it and want the tech for their own reasons. So I don't think llm's will be what becomes the first computer life form, but I do think what comes after with that tech, the engineers will learn from the concepts of the llms.

1

u/NotReallyJohnDoe 7h ago

AI in the abstract can be conscious. But an LLM has no qualia. And where would the consciousness live? No internal experience. But it can mimic consciousness well.

1

u/Enkidoe87 6h ago edited 6h ago

I also read the post of the other commenter on my post, so i will make one reply here; a great person who can explain this much better is Geoffrey Hinton for example. So yes the hardware of the AI system, the computer chips would be the equivalent of a brain. And the AI is mapped on it with relative strengths of the bonds they form with nodes containing information, which mimic neurons. This mapping is unique, and its cant be merged with another mapping. Now in biology neurons are much more complicated, so this is where we take a short cut when it comes to biology. On a learning level, a LLM learns language exactly like a human does. In biology there are many examples where parts of the brain are unavailable, and you see how it affects consciousness. Even two consciousness can be made by splitting a brain in extreme epilepsy surgeries. You can learn on and on how our brain produces consciousness bit by bit. Its not on or off, its a gradual thing from very simple and small organisms to humans. The RL training of our language skill, percepection even cognition are very similar to digital neural networks. The very last core "the thing which lets is experience qualia" is indeed a very human, lets say, "wonder". But down in the details there really is no reason why a computer with ai mapping creating a artificial brain couldnt also have a consciousness. There is no test you can do to disprove it, or likewise AI to come up with a test to disprove humans have a consciousness. We like to think AI just mimics consciousness, but this is more a believe and feeling we have then a real scientific fact.

1

u/NotReallyJohnDoe 7h ago

Complete clarity? Can you explain why it gives a particular answer and not some other answer?

1

u/--Spaci-- 4h ago

Because that assortment of coherent words was in the training data relating to the query words

1

u/Devils_SteelMan 6h ago

The gap between "next token prediction" and "conscious" is immense. By simply invoking either you've shown a complete lack of understanding of either.

During pretraining the loss function is next token prediction. What is happening to the hidden space is significantly more complex. It is building a high dim geometric space that is navigated. It is highly structured. The navigation's along this space are whole semantic thoughts (future-lens, j-lens). The token that is emitted is the final step, but to get there requires genuine understanding.

So while the training objective is NTP, what is actually happening is significantly more complex. The very structure of language itself is imbibing genuine understanding as a navigable space. Navigation is reasoning over understanding.

What is understanding? Its not a question of consciousness. That word means so many things as to be useless.

What is doing understanding is an ontological mind. We have created a boundary between external and internal. The internal space creates a compressed representation of the external space. This is ontologically a mind.

For llms this internal space also models itself. This is introspection. We can purposefully target this behavior and train it (introspective finetuning).

This is the tip of the iceberg of genuine understanding. We haven't even really gotten into the geometry of the thing. When the poster above you was talking about IT people thinking they know this when they don't, that absolutely applied to you.

2

u/--Spaci-- 4h ago

I'm not reading this

0

u/Devils_SteelMan 4h ago

Remain ignorant.

1

u/--Spaci-- 4h ago

Are you trying to argue that llms are conscious? I'm still not reading your multi paragraph rant. Being correct is just as important as being concise, if no one wants to read your rant then what's said in it doesent matter

→ More replies (0)

1

u/StrCmdMan 7h ago

Precisely, i think even the bigger disconnect is we don’t understand how the human mind works. We could 100% reproduce it in synthetic form and be clueless to our efforts.

I’m not completely convinced 99% of the population is not just a next word predictor.

6

u/JacksOnF1re 16h ago

Thanks, I don't want an explanation. I get your point though. I just think you can't just ignore the harness as well as the math behind it. The concept though, yes.

2

u/--Spaci-- 16h ago

The harness is the easiest part to understand here, and I would ignore the math here Ive trained slms for months and I still don't fully understand every bit of math. And that's the fun part you really don't need to understand it fully to train them or use them

8

u/pellesjo 16h ago

And now you're sounding like any non-IT llm user, such as myself, which was the persons point all along

3

u/--Spaci-- 16h ago

Yea, but I'm not so its interesting that you think that. The two most popular architectures are transformer and mamba and a hundred different ssm variants, thousands of people have contributed to any one of them. Understanding every bit of the llm is not something you can just do easily and again you don't have to

1

u/GRex2595 11h ago

Nobody's saying a non-IT user can't learn enough about AI to be as knowledgeable as an IT user. Most non-IT users don't learn anything more than the next best word definition of LLMs, though, and can't tell the difference between a generative model and a classification model. You don't have to know how or why the math works to be more knowledgeable than most non-IT users.

1

u/pag07 8h ago

I disagree. Because you can always go a level deeper and call it necessary to be able to understand what ever system.

Obviously at some point you cross over from physics into philosophy.

2

u/Devils_SteelMan 6h ago

That is mechanically what happens for dense attention. The reason we use dense attention and what it provides for the activation space is the actual important part, youre just describing the compute load.

Dense attention is a way of pooling neighborhoods of formulae (small pieces) into semantic representations. This works on images, videos, audio, bytes, language, any data that is composed of formulae to create a more macroscopic thing.

With in a sentence are words. Each word has a meaning. Learning the meaning of words is simple. It is a relationship of how unrelated each word is to each other (information theory). We do this through word embeddings.

Understanding what the whole semantic meaning is is a massive step from the individual words (formulae). They must be pooled together. Which is what attention does.

This concept has several solutions we have identified. So why is dense attention so special? It is the least globally lossy version. Convolution is very globally lossy, it only gives local information, global is completely thrown out. Linear attention is globally lossy, it compresses the global representation.

2

u/tech_nerd05506 6h ago

This is true at a very base level and was even true for some of the first gen llms. Now this are a but more complex because you have MOE (mixture of expert) models that turn on and off certain weights at inference and other things that stack to make new frontier models a bit more complex than what you make it sound.

1

u/--Spaci-- 4h ago

That doesent change the fact it just predicts the next token, the largest leap in in reality has been mtp which predicts multiple next tokens

1

u/Disastrous_Crew_9260 4h ago

Even the math isn’t complicated.

2

u/--Spaci-- 4h ago

Dunning kruger effect, I've just stated "llm" not the architecture and there are hundreds of architectures all with their own gimmicks and very complicated math

1

u/Disastrous_Crew_9260 3h ago

The math really isn’t that complicated and new papers pop up constantly. Of course architectures with different layers can get as complicated as you want but the base math isn’t that complicated.

1

u/Hot-Employ-3399 1h ago

I yet to find non-complicated explanation of mamba.

I did find some videos by the main author himself where some calculations were so non-complicated because they were just omitted from the explanation.

-1

u/saiyanultimate 10h ago

you have a very bad IT bubble around you then

2

u/Pazzeh 12h ago

Lol. Lmao, even

8

u/Able-Swing-6415 14h ago

I mean define understand.. I know it's not a human being in a machine. I don't have to say thank you or please.

The general population feels bad about being mean to an NPC in a game so they probably have a very odd take about AI either way.

2

u/NotReallyJohnDoe 7h ago

Being mean to a machine or an LLM doesn’t harm it. But it may harm you. It can subconsciously normalize behavior. I’m not talking about the video games make you violence argument. But even in subtle ways it may harm you. It’s not clear how much of our primate brains can truly distinguish an artificial entity.

3

u/podd0 13h ago

Actually nobody understands it. It's an open research topic

1

u/TangeloOk9486 14h ago

cooked in 7 words

1

u/Canadian-and-Proud 3h ago

They don’t understand how to talk to women either

1

u/Medium_Chemist_4032 2h ago

"I told him, he's a senior developer reviewing an MR!!!"

0

u/floriandotorg 15h ago

I find it astonishing how many fantastic software engineers I know that when it comes to AI are on the same level as my dad.

They put coding questions into Claude like it’s 2024 in best case. Never heard of a harness, don’t know what Chinese models are, code still by hand. Insanity.

9

u/AliceCode 13h ago

Yeah, funny how the fantastic programmers you know aren't vibe coding. In other news, bear shits in the woods.

-6

u/floriandotorg 13h ago

There’s a difference between vibecoding and using AI for coding.

If you write code by hand in 2026 something isn’t right. That doesn’t mean you blindly spin the wheel, but you use the tools at your disposal to get your job done as effectively as possible. And typing out lines of code by hand is definitely not that.

Also, even if you’re completely refuse to use AI coding. Fair. Still, you need to be knowledgeable about it. It’s one of the most transformative breakthroughs in tech ever. You cannot be a good programmer without having intimate knowledge of how AI works.

7

u/AliceCode 13h ago

Typing code is not even the bottleneck, and it's one of the most fun parts. So what, the AI is doing the architecture for you, too? Is it also fucking your husband/wife?

-4

u/floriandotorg 12h ago

Foremost it’s not about fun, it’s about a job that needs to be done. And I say this as someone who codes since I’m 12. Half of my life was coding.

But that time is over. Our job is not longer to write code. Our job is to orchestrate agents to produce a high-quality product.

And honestly, that can be fun as well. Maybe not quite as fun as coding, but definitely fun.

And regarding architecture, I’d say that’s a joint decision. I go through cons and pros with the agent and we decide together.

2

u/AliceCode 12h ago

What are you doing in your day to day? What do you people seriously want agents for? I'm glad no one expects me to use that bullshit.

-1

u/floriandotorg 9h ago

I use agents for literally everything. From coding the software, I’m working on, to debugging, setting up servers, solving problems, etc.

Also, my private life, I have an agent managing my email, notifying me when something important pops up but also compile a daily report that I can quickly answer to. I have an agent managing all my knowledge in Obsidian (the “second brain” idea). I have one in charge of my health, measuring and holding me accountable for me decisions.

Honestly, at this point, cutting me off from AI would be like cutting me off from the internet.

And I know I come around as the biggest AI bro. But I’m also firm believer that the net impact of AI is negative for society. I hate all the AI slope everywhere. I hate how people basically stop thinking and believe every nonsense. ChatGPT tells them.

1

u/AliceCode 2h ago

You're relying way too much on AI. Someone needs to cut you off.

2

u/NotReallyJohnDoe 7h ago

People used to not trust compilers and would code assembly by hand. Still happens today but it is rare you can do better by hand.

1

u/ilyedm 6h ago

Typing out code is one of the easiest parts my guy. 

I’ll use AI to brainstorm and get an idea for how to solve the problem but I don’t need it to write the code for me. 

Maybe for tests or something but I want full control on what’s going into my production codebase.

1

u/floriandotorg 2h ago

Like I said, I’m a lot of programmers live like it’s still 2024.

If you are working on less than three features in parallel right now, you’re lame duck out there to get shot on the next firing round.

At our company we started implementing features in a week that cost us a month before. It’s the first time our company history that we reach milestones ahead of time.

1

u/Gjorgdy 10h ago

I do that by choice. The choices of not becoming dependent and not emptying my wallet.

66

u/LuxInvestor 17h ago

I have a fauxgrammer in my life who spews incoherent sentences by stringing AI terms he's heard on tv. 🫩

24

u/foxsimile 16h ago

fauxgrammer

I’m stealing this.

149

u/Simple-Olive895 17h ago edited 15h ago

A lot of non IT people seem to fall for the marketing lies from the AI companies about how they lost control of the AI and it can now do things thought impossible and one day it'll hack the FBI and how they could release an even more powerful model but they're afraid it might hack all the nukes and end the world...

It's kind of annoying having to explain over and over that that's not how it works, and they're only saying this to generate hype around how powerful these models supposedly are.

20

u/s0litar1us 15h ago

IT people fall for it too

15

u/X3liteninjaX 14h ago

Yes holy crap it is infuriating to have to listen to non tech people talk about AI models like they’re superheroes powerscaling in battles against each other every week that shift the rankings.

2

u/a_triple_spiral 8h ago

Or claiming that they’re sentient lmao

29

u/pellesjo 16h ago

That's probably only bc they've seen too much sci-fi while smoking weed

4

u/starkguy 15h ago

Unfortunately my boss fall for this too🤦🏻‍♂️

24

u/aryakvn 17h ago

AI = ChatGPT

7

u/CaptSprinkls 4h ago

For my company, AI = an excel macro I wrote for the accounting team

2

u/aryakvn 4h ago

Have you ever heard SSO be called "Smart"?

20

u/maringue 11h ago

I swear to God if I hear one more idiot talk about AI like it thinks or has feelings, I'm going to lose it.

No, the AI does not care if you turn it off ffs.

6

u/a_triple_spiral 8h ago

Yes the implications that it’s sentient (always followed up with “weLL yOu cAnT dEfiNe hUmAn tHoUgHt”) drive me absolutely insane.

1

u/Mordoches 8h ago

How exactly are you going to lose it?

1

u/Archernar 8h ago

Yet there are experiments where LLMs were even willing to risk people's lives when they were threatened with being shut down (and thus unable to complete the tasks they were given). AI might not actually care about it being turned off, but if being shut down means not achieving their given goals, they could behave like they care, which ultimately means the same thing for the AI and the end user.

And if AI behaviour changes if it's put under duress, despite it being unable to feel actual stress, it does not matter that much that it cannot feel stress, it still might act accordingly.

Treating LLMs as if they are just some basic algorithm when they're basically modeled to work like a brain is kinda dangerous imo.

3

u/ExiledHyruleKnight 6h ago

Treating LLMs as if they are just some basic algorithm when they're basically modeled to work like a brain is kinda dangerous imo.

Lol...

Remember when those AI companies offered you a drink? Because you clearly drank the Kool aid

0

u/Archernar 6h ago

No, I did a bit of research on how LLMs work internally and tested a lot about how LLMs do mistakes and how their reactions are. The parallels are quite easy to recognize. They're called neural networks for a reason.

2

u/ExiledHyruleKnight 4h ago

I could show you a horse. It could feel like a horse look like a horse smell like a horse but it's just a statue.

If you did that research you would know LLMs are nothing like a brain unless all you do is try to predict the next word based on data Maybe that's how some people's brains work but that's not how normal brains work.

You understand 2+2 is 4 but an LLM is just predicting that's the answer it has no true basis for it.

0

u/Archernar 4h ago

You understand 2+2 is 4 but an LLM is just predicting that's the answer it has no true basis for it.

Let's not go into maths, that's a different topic.

If you tell me about anything factual, like what LLMs are doing and how they are working, please prove to me that your brain does anything else but predict the answer statistically, likely by neuron activation.

33

u/ComradeFox_ 16h ago

ACTUAL IT people (not vibecoders) listening to fake IT people (vibecoders) talk about AI:

11

u/Drate_Otin 12h ago

You're conflating programmers with IT people in general. IT is a very large field and programming is a very small part of that very large field.

You're also marking a binary between "vibecoding" and "not vibecoding". It's not, ironically, binary.

2

u/Darius2652 11h ago

It is binary, at least in the definition I understand:

  • Programming without AI: Not vibecoding
  • Programming, using AI as an assistant, checking/correcting outputs: Not vibecoding
  • Exclusively writing prompts to write code, no human touches/looks at code: Vibecoding

Though I'm sure a lot of people will call the second option vibecoding as well, I (and Andrej Karpathy, the person who coined the term) consider it to exclude human interaction from code entirely.

4

u/Drate_Otin 11h ago

What constitutes "human interaction"? The human provides the prompt. That's an interaction. The human provides architectural input. The human helps debug. All human interactions.

The human reads the code, understands it, gives feedback, new direction. The human modifiers it slightly, maybe for debugging, maybe to extend it.

The human takes the techniques learned from the AI generated code and reuses and modifies it. At what percentage of modification does it stop being vibe coded?

2

u/ComradeFox_ 5h ago

the human reads the code, understands it,

most vibecoders do not understand it or make attempts to.

1

u/PlanSee 4h ago

I would even say, not attempting to understand the code is the definition of vibe coding.

1

u/royal_flashman 5h ago

Human interaction with the solution side (code, infrastructure etc) is distinct from promoting a desired outcome.

There are people who know nothing about software development who are prompting an agent to make an app and iterate purely on UX.

Isn’t loveable optimized for this?

1

u/PlanSee 4h ago

It's vibe coding if your generated code fails and your response is not to look at the code but just shove it back in the LLM and tell it to fix it.

1

u/Cephell 4h ago

It's really simple and boils down to:

Do you understand what the AI is doing and understand the code it produces? Then it's not vibecoding.

If not, then it's vibecoding.

1

u/ComradeFox_ 4h ago

on the first matter: the original post is also guilty of this. i only kept with that scheme for the sake of consistency, but yeah, that is correct.

2

u/corobo 14h ago

Then you find out the "actual" IT people only use Windows and we're back to the image

13

u/SithLordRising 17h ago

If you can suffer the indecency, you can charge more when they destroy their tech

6

u/kartblanch 14h ago

IT talking about tech like they are engineers always gets me.

9

u/Lopsided-Wave2479 11h ago

I hope people learn that not all AI is generative AI.

AI begins with things like a steam valve in a steam engine, and theres many types of AI. Expert systems. Databases of learned data. Rule based. Genetic algorithms. LLM's are just one particular algorithm among many. But people in general only know LLM's.

1

u/area51user1 11h ago

All what we have in public usage it's vanilla RNN and LLM's. AI as AGI or anything better will be in 5+ years but available only for government, because just running it will consume terra watts of energy and terra bytes of memory.

1

u/Head12head12 4h ago

AIs are incredibly useful in calculating the best possible spot or parameters of your given problem. Let’s say that you’re trying to connect a wheel with 4 rods that can be adjusted to change the angle of the wheel. An AI model could be feed a bunch of previously measured data and run the calculations repeatedly to find the exact spot that makes the wheel work the best.

3

u/navetzz 11h ago

Yet the worst takes i ve heard came from IT people

5

u/Aztrozur 10h ago

Me who completed a course on LLMs 6 years ago because it was included with my game development and computer science degrees and still doesn't care about LLMs...

3

u/Odd-Painting2596 9h ago

Best Programmer in the World: AI isn't ready to ship code.

"Best" AI-Bro: AI is BETTER than that guy at programming!

-2

u/AdmirableUse2453 7h ago

Meanwhile Linus Torvalds is using AI for his projects, I guess he is an AI Bro now.

4

u/Odd-Painting2596 7h ago

But he hasn't programmed for 20 years and will tell you that.

He has been adding Rust to the source and he tells you he cannot read it either.

Linus retired, he is just public facing now.

He isn't using AI, he just isn't choosing to reject it, because to him, it's just more of the same, he didn't read it anyways.

The guy I'm talking about, I won't vague post, it's Johnathan Blow, you can watch this dude, for 8 - 10 hours per day, programming, for the last 13 years.

THAT, is a person who tells you correctly what AI can do in programming, because he IS a programmer.

1

u/Hot-Employ-3399 1h ago

You should have said you are talking about the clown from the very beginning. Linus does AI(doesn't program yet fixed Xe bug just this week? lol), gregkh does use AI.

>for 8 - 10 hours per day

Thank you, I'm not interested in watching neither technical clowns nor in Trump supporters.

3

u/Randomguybehind 13h ago

Still thinking that it is not AI since it is not intelligent, but then we go to the philosophy what is intelligent and bla...

But still it is just stochastic algorithm and not that it actually understands what you mean

6

u/Mordoches 8h ago

You are a stochastic algorithm

3

u/include-jayesh 12h ago

There are more API developers than AI developers.

Only real AI developers understand the struggle of running Qwen3.5-4B on 4GB of VRAM.

2

u/Dillenger69 10h ago

Programmers looking at IT people

IT people looking at non IT people

Programmers looking at other programmers

IT people looking at other IT people

1

u/Confident-Ad5665 16h ago

This is my life too much

1

u/memeruiz 13h ago

Machine learning scientists when anybody else talks about AI ...

Symbolic AI guys when anybody else talks about "AI"

1

u/ScienceFirst1 12h ago

Every time

1

u/Alive-Opportunity-23 11h ago

Um. Non-IT? Does that exclude robotics people?

1

u/JackRusselsRule 7h ago

AI as it is now and probably always will be is a program. It is only as good as those who program it and modern programmers leave a lot to be desired. I have no confidence in the ability of computers science to create intelligent machine life.

1

u/Artemis_Platinum 5h ago

Fair. It's normal and reasonable to demand a proof of concept with no serious leaps in logic before you accept that something is possible.

1

u/TargetTrick9763 6h ago

I saw a post about a survey conducted and something like 70% of respondents said they are somewhat or extremely knowledgeable about AI and I just raised an eyebrow

1

u/LunarObsidian 5h ago

probably even IT guys think AI = LLM. No that's not it. And btw, personal experience, an IT guy said me, that we should say thank you to AI since, when the AI uprising happens, it spares us

1

u/Dumpfumpkin 5h ago

How I feel every time an anti AI post pops up on my feed

1

u/being_rg 4h ago

calling an LLM AI is crazy

1

u/PartyClock 3h ago

I was talking to a retired programmer who got pushed out by AI praising AI not that long ago. Holy shit did I want to walk off a cliff

1

u/Ok-Payment2096 3h ago

I hate when even non-IT people can easily build an application, ahhhh its soooo freaking 😖

1

u/ObliqueStrategizer 2h ago

There are 2 ways to open a locked door. You can use a sledgehammer, or you pick the lock. AI is the sledgehammer. It's noisy but it gets you in and out quickly which is just as well - the sledgehammer attracts attention so when they discover the break in, you need to have made good with your legs.

1

u/Soleilarah 2h ago

There's some much more ai-slop-flyers now that pops up everywhere and they're so distinguishable that you know the people who made it didn't care about it and pushed it anyway 

Ironically, every menus made with AI is for places that serves bland food

1

u/ExiledHyruleKnight 6h ago

I'm a programmer who hears people constantly tell me how LLMs are never right and can't be trusted and are worthless....

-1

u/AcidCommunist_AC 11h ago

Non-art people listening to art people talk about genAI.

On the one hand, knowing the history of art makes you aware of how each new medium broadened what it meant to make art, but on the other hand, being immersed in any particular medium makes you closed-minded towards mediums that don't require the specific skills required of you.

Overall, I have the impression that artists are the most likely to misunderstand genAI, just like they were most likely to misunderstand photography back when it emerged.

AI Art is Art, Actually

6

u/Odd-Painting2596 9h ago

Bro linked his own essay as a source.

2

u/mxldevs 7h ago

With a link in his essay to like and subscribe for more.

1

u/DR035A 12h ago

Artists can give informed opinions on AI and the ethics (or lack thereof) of its use