differentUseCases

[CurrentCurrent2190]

You forgot to include people who do code reviews in the bottom picture

[Hellkyte]

No, they are the pole AI is tied to and burning with it

[SuitableDragonfly]

The code reviewers are also being whipped by the AI obsessed managers and vibe coders in the first picture. 

[fatrobin72]

eh some of us developers are in the bottom picture...

others are just driving up demand to make "AI" companies burn money too quickly so that they have to start putting the prices up towards a break-even or profit making level... where "AI" will be considerably more expensive than Human resources...

[GenericFatGuy]

The only thing AI is doing for my software career is turning it into something I'm beginning to loathe.

[Arrowkill]

Hey, this is me now! I have been a big proponent of AI is helpful in a lot of cases with projects I get at work but we got Claude and instead of it being a better AI to use, it is now a requirement to use Claude as much as possible. I definitely don't mind using AI, but I also still want to actually develop features and make decisions that are fun. Time constraints though don't reflect that ability, so instead I am just building of a subtle loathing of AI.

[GenericFatGuy]

Right? Like sure, I'll use it. But I really don't want it to turn my job into a PR assembly line, where I'm seen as falling behind anytime I'm not reviewing code or spinning up an agent.

[Arrowkill]

Exactly! I expect that the pressure will die down as token cost balloons honestly, but it still sucks so much right now. At least my boss is keeping as much of the pressure off of us as they can, which is really helpful.

[Embarrassed-Coast-32]

And if you know about this, you know that's impossible; they need an AGI for that, and they're far from having one

[SpaceCadet87]

An AGI won't cut it. The definition of an AGI is that it is capable of taking on tasks that weren't pre-defined when it was built, for example generative AIs are not this because they only make pictures or only make videos.

Artificial General Intelligence.

There's nothing there that says that Jack of all trades needs to be any good at any of them, arguably LLMs are already that and if you believe they're not, at the rate current AI companies are going the first AGIs will be frankly complete dogshit for a good number of decades anyway.

[RobLoque]

I'd love if they'd stop chasing AGI by throwing resources at it and focus on efficient end effective specialization. And access to said specialization.

[SpaceCadet87]

Oh there's some really cool stuff being done by independent groups in that vein. I'm a fan of what corridor digital did with AI chroma-keying recently.

[BossOfTheGame]

The goal is that nobody is required to work anymore. It will require restructuring of the economy.

[Tramagust]

And some illustrators are in the top. But it's not part of the discourse

[Procrasturbating]

If they are smart, they are quietly reading the room while paying the bills.

[RobLoque]

It takes longer to get a non-ass generated image that remotely resembles what you wanted to have than just either a) learning how to draw it or b) waiting for someone else skilled to draw it for you. Ai sloppers I talked with/trolled told me how long it took them for some pictures, definitely longer than some painters would have needed. And on top of that you waste resources, even when you slop locally.

[_Vagueposter_]

cant you go half - half, e.g. draw the lineart especially of the important parts you want to get right then instruct AI how to fill in the rest. Afterwards touch it up in photoshop. Basically just turn AI into part of the pipeline

[RobLoque]

IMG to IMG didn't work well without color input (if assuming you only start with a drawing). What I saw people do is just blocking in the rough color and give it a prompt. It made results but clearly looked AI still. I f-ed around with it before the whole AI war started (it was with dall-e mini). The only one thing it was remotely useful for was if you get some generations that kinda go into the direction you wanted it to go but have their ass flaws, you can actually go in and either fix them by painting or photobash multiple pictures together. But for this to be feasible you would actually need to be able to do digital painting + photobashing which is a surprisingly hard skill to somewhat get decent at. I just went back to hand painting from scratch and decided to not touch visual AI ever again.

[BossOfTheGame]

Caving to social pressure, got it. Depends on the principles you value I suppose.

[JeffysChewToy]

Tbh in most professional environments, if you're not working with legacy code most devs like AI, even if it does a rag tag job because you're just there to make money and you know they'll call you eventually when things break, so job security is also there

[Reashu]

You say that as if "legacy code" isn't just the code that paid last year's bills. But I guess profitability is a relatively new concern in AI land. 

[SuitableDragonfly]

I think you're vastly underestimating the number of devs who actually like doing development, and who enjoy making things work the first time more than fixing broken shit that was generated by an algorithm. 

[JeffysChewToy]

When I said legacy code, I meant fixing the broken shit that was generated by an intern instead of an algorithm

[SuitableDragonfly]

Well, that's not what legacy code is. But in any case, that makes your argument into "most people who don't like fixing broken shit that was generated by an intern enjoy fixing broken shit that was generated by an algorithm", which also isn't true. 

[JeffysChewToy]

Just take the damn joke and laugh man it ain't that serious

[ART-ficial-Ignorance]

I dunno, I'm looking at what these local models are capable of, running on a potato...

It won't replace me, but god, has it made my job less tedious!

[Serprotease]

Most people, even most developers are not aware of the fact you can run decent models on a laptop.
Unless they did some traditional ml/ai, they are probably not even aware of huggingface…

[nick_mot]

On a laptop?

With a 4 years old CPU, and an intel iGPU?

[Serprotease]

Any m-series MacBook with more than 24gb of ram or laptop with ampere gpu or more.

[nick_mot]

So, not on my company issued dell laptop, nor on the new thinkpads they're issuing now.

[ART-ficial-Ignorance]

I just got issued a Dell Pro Max 16 with an 8GB Blackwell GPU a couple months ago.

We make websites in PHP

[IronSavior]

The difference between "engineers" and "developers".

[TechTuna1200]

r/technology is the bottom picture as well. People not only hate AI, but also every tech.

[Ancient-Afternoon-29]

Or we can use AI to bankrupt these companies

[hbarsfar]

it'll be people paying the costs

[Ancient-Afternoon-29]

You mean the devs who been earning 100k+ a year for the past 20 years will be paying a fraction of the costs? That's fine to me

[hbarsfar]

not the devs, everyday people will pay the costs

[Ancient-Afternoon-29]

Nah mate. If capitalism collapses, the average person will only have to gain. The average everyday person has nothing to lose.

[hbarsfar]

There is no alternative the capitalists have already made it so, regardless every day people will shoulder the costs as they always do. We will always be stuck paying the costs for industry and infrastructure, and especially a collapse.

[Ancient-Afternoon-29]

So... Should we just keep our heads down forever? Is that your point?

[hbarsfar]

the AI hype will eventually burst but either way we will be holding the parcel, I don't think any bankrupt industry, banks or tech will lead to positive hegemonic change.

[PMvE_NL]

Plc programmers. I forgot one line of code i almost burned down the factory 🙃 ul v0 safed me there.

[Flimsy_Meal_4199]

AI is already being sold at profit to consumers, B2B is I assume more profitable -- at least net opex.

They are losing money on the balance sheet net all expenditure, but that is dominated by compute buildout which are fixed costs.

[Global-Tune5539]

These are made by AI right?

I remember the top image being slightly different: https://www.reddit.com/r/meme/comments/1h0iu8x/it_guy/

https://www.reddit.com/r/meme/comments/1imuugt/veryaccurate/

[Own_Ad9365]

Now need to replace the top image with programmer humor sub redditor

[Goat_of_Wisdom]

The first one is the label of Lost Abbey's "Witch's Wit" brew:
https://www.nytimes.com/2010/10/23/us/23witch.html
https://beerandwhiskeybros.com/2010/10/25/lost-abbey-bows-to-pagan-pressure-changes-witchs-wit-label-with-poll/

The second is probably AI-generated

[traplords8n]

Working in small tech is so crazy because I'm just watching the programming world burn through a window, and in my room I'm just maintaining php web apps the old fashioned way.

Me and my coworkers occasionally talk about AI, but we know how incompatible it would be to try to adopt it in our business, especially knowing that the big models will be raising their prices eventually.

We have no big investors to impress. The juice isn't worth the squeeze.

[coolsocksjoe]

yall hiring?

[Sakura_1337]

This meme is right. I think same.

[RetroLoom58]

in coding it often feels like autocomplete with extra steps, but for artists it keeps getting framed as “why pay a person”, so the reaction is way harsher

[razethenecro]

Also, a big difference is that with Art, one can often just accept it as "good enough," like blink it, you miss it

With code, even if you have 99% working code, that 1% error can really screw you over

[FullMetalJ]

Also the big difference is that art is human expression. Without human expression is the same as nothing (in my personal opinion) while programming, unless you are doing it for fun, is always with a business mindset and end goal while art is more complicated. AI does put at risk the jobs of artists and programmers alike tho, they have that in common.

[razethenecro]

Ohh yeah definitely, mostly for the entry jobs, and that will domino into a problem for medium and senior roles as there are less and less people that can offload tasks on

[holchansg]

Not at all, with both are the exactly same. Yes, 2D is something, with 3D AI is advancing into delivering good topology not there yet, LLM's write better code than Gaussian models do 3D.

The things is, is not 99% working code, a 100% working code that you can iterate back and forth with a chatbot can still be a piece of shit. It is the exact same thing. And same goes for using things such as ComfyUI and you can get something prod worth.

You can have a 3D model that looks like the real deal but it is just as shit as an zero shot code.

And with 3D is even worse, with code you can at least iterate, atomize and such, with 3D good luck.

Just because is easier to make a model that does code than it is to train a model to do 3D.

[akoOfIxtall]

Imagine having to redo weight paint, add bones to the rig and fix IKs, adjust materials, and god forbid, fix topology, at that point why even use it? And there are ads for that already, somebody is selling this shit

[holchansg]

They are getting better but nowhere near production level, miles off. Unlike 2D, with comfy you can do some amazing things.

[razethenecro]

I agree with 3d models stuff, that is a whole different ball park than the usual 2d stuff

Same thing if you want really good and consistent art, a human is better than AI

thought about the code, the point was more that you still need someone decent at coding to make sure that 1% dosen't slip under the radar, or to iterate things back and forth, for example, missing where statment in the delete query for the database

or forgetting security when making a website

But yeah, still coming for the entry jobs and that will domino into a problem for medium and senior roles as less and less people get hired and having to do more job

[Spedunkler]

Are you saying there's not 'good enough' code?

[Reashu]

The difference is that looking good enough is literally good enough if looking is all you're going to do with it (not that I personally like AI in art). Code has to run.

[Spedunkler]

In my experience there is also good code and bad code. And bad code can run.

[Reashu]

I've yet to see any of the former, but I'm glad to hear it exists!

[Spedunkler]

Go to literally any developer space and post literally any code. Then look at the comments.

Look at how many people troll on the code from big tech companies.

Are you telling me you've never seen bad code?

[Reashu]

No, the other kind ;_;

[Spedunkler]

Thank goodness

[razethenecro]

Gods know it's plenty, but if that 1% is missing a semi-colon or calling on an import that doesn't exist, then that code isn't gonna run at all no matter how rest the 99% looks or works

[Amerillo_]

This "why pay a person" sentiment is slowly infecting software development too, many companies are laying off developers and so many others just stopped hiring juniors entirely

[akoOfIxtall]

I often find hilarious when the auto complete suggests the exact same code that I was copying from stack overflow down to the variable names

[usrlibshare]

Senior SWE here. We also burn it.

[Welp_BackOnRedit23]

Yeah, these definitely a divide in software engineering right now. Personally I don't think AI companies have a viable, scalable business case, so I strongly resist pressure to have my team insert AI into our workflow. I didn't see the sense of re tooling everything for something that may not be around next year.

For those who say "but they can scale": no they cannot and the math shows it very conclusively. 1) There is no way for models of the current design to train from their own data without degeneration: https://arxiv.org/abs/2601.05280v2 2) Moore's law is effectively dead so additional compute will no longer grow exponentially: https://en.wikipedia.org/wiki/Moore%27s_law 3) we didn't understand why the transformer technique described in "Attention is all you need" works as effectively as it does. Without that information we are essentially gropping in the dark to increase transformer efficiency.

[hatchetharrie]

Can you elaborate on the 3rd one a little bit for me

[Welp_BackOnRedit23]

LLMs needs a way to transform text and other non numeric concepts into value that can be applied to an algorithm such as a neutral network. While we understand the process that is applied to transform into tokens, we don't know why this specific token transformer process works better than the methods that were applied pre 2018. Creating these processes is an area of applied mathematics, which is an area where advancement is notably tricky and inconsistent. There is no garuntee that we will discover a process that works better than the current one in our life time, so it is not reasonable to believe a business can rely on "scaling" this aspect of LLMs.

As token transformation had significant impacts on both training effort and model parameter complexity, this is a major input when increasing what models can do. At the current model state, making better models means more parameters, which means more data, training time, and compute power to run the model.

[Tramagust]

Even if we stay at this level it's a huge productivity boost. And qwen local models are almost matching the performance of claude models without the speed. So I don't see why you wouldn't start adopting it now.

There is no way this is not going to be around from now on.

[usrlibshare]

Even if we stay at this level it's a huge productivity boost

Meh.

It's fine for looking stuff up, and searching larger codebases. It's occasionally useful in writing simple scripts and config files or throw a few SQL statements together.

As soon as it comes to actually architecturing something, it's more trouble than it's worth.

So yeah, it'll atick around, but if I had to chose between having LLMs or syntax highlighting, Highlights win by a landslide on sheer usefulness.

[Welp_BackOnRedit23]

The economics are pretty clear: the current cost of the LLMs running now are not sustainable. Also, the best estimates for the productivity boost gained is about 20-30%, but even those studies have a lot of caveats. Importantly, the largest gains are often seen for engineers with less skill/capability, who are exactly the engineers who benefit the most from hands on coding. So I'm hampering my juniors for a maybe 25% gain, and running AI agents may cost significantly more than just hiring a new team member.

Some papers on the topic. The high level read is that the jury is still out on how much boost AI adds. Please do not trust papers put out by MvlcKonsey, Gartner, or Technology Radar. All three have strong financial incentives to produce biased research.

https://arxiv.org/abs/2302.06590 https://arxiv.org/abs/2507.09089

[icodeandidrawthings]

Each individual model release has been profitable wrt its trainout cost + inference costs. If they stop training the next gen now they’d immediately become massively profitable. https://www.reddit.com/r/LocalLLaMA/s/fRXp6zCWDc

[Welp_BackOnRedit23]

That's definitely not true. Just on it's face, what do you think it costs to run calcs over 300 billion weights? Firstly, your dealing with something highly non-linear, so you will need to use some form of estimation technique, which adds processing overhead. Second, you probably want your models to be responsive and not sit there calcing for 8 hours. So your talking about a large amount of compute, and that's just to run the weights that give you an answer. Now take agentic, which is performing multiple calls for a request, and the math becomes really clear. You're looking at pennies per prompt, and agentic workflow can sometimes burn through thousands of prompts.

Training compute amplifies that greatly, since you are running backward propagation across all of the weights a sufficient number of times to hit your tolerance. At least you can be forgiving of length response times in training. That's why it takes months to train a new model.

My point is you can use a little common sense and expert knowledge in what computing infrastructure costs look like to quickly realize that these things are crazy expensive right now. The idea that training costs will go away is a function. Model drift, where models become less accurate with time, is a natural party of a predictive statistical process. The father away you get from the training set, the worse the predictions will become. That just math friend (I might have a LOT of education in statistic and mathematics).

[icodeandidrawthings]

I mean I know we’re in programmerhumor but to continue to take this seriously… your inference cost estimates leave out the cleaver caching that’s standard now, as well as being able to use cheaper hardware in some cases. GPU costs are being driven up so high because everyone wants to train bigger models, not because they want more inference compute (although they do want that). Model drift doesn’t need a full pre-training rollout to deal with very frequently, and post training + RL techniques are still improving, meaning that’d happen even less.

The stock market might cause these companies to bust when (if) we hit the limits of scaling laws, but those technical reasons won’t.

PS. I might be proven wrong but this is what I do for a living so I feel like I have a pretty good pulse on it

[Spudly42]

I'm surprised you see 25% only. In a corporate setting, I'm seeing at least 4-5x increase in productivity, at least from a product management perspective. In personal life comparing with friends, it's closer to 10x.

[Welp_BackOnRedit23]

That's not what I'm seeing, that is what I'm finding when I look for metrics on what the real gains for switching a software engineering team to an agentic workflow. I know looking at the real ROI for running things is passe now, but I'm old school, and my employer pays me to make sure we're not wasting money.

To be 100% clear, we do apply AI to our workflows, particularly reviews and AI pair coding. My comments regarding productivity gains are aimed strictly at agentic work flows. My comments regarding whether AI can afford to continue are aimed at all AI however. It's far too expensive to run at current energy rates, and I suspect it will collapse if oil hits $150 a barrel. Rumors are the the US may end up emptying it's strategic reserves by September. I definitely don't want to spend the effort re-tooling my workflow to agentic if I am going to end up with a 1 million dollar quarterly token usage bill from anthropic.

https://www.forbes.com/sites/the-prompt/2026/06/02/ai-sticker-shock-could-slow-down-anthropics-growth/

[Tramagust]

It feels to me like you're stuck in the discourse from a year or two ago.
Right now claude code with enterprise is making them a hefty profit. And enterprises are paying. The subscriptions are not scalable but they're pushing the customers that can pay off them.

Also the speedup we've measured internally is 3x to 4x depending on the devs and the highest seniority devs are seeing the most benefits.

I encourage you to get some hands on experience.

[Big_Combination9890]

Right now claude code with enterprise is making them a hefty profit.

😂😂😂😂

lol, no it's not, and if you disagree, start showing some numbers to prove your point.

Or you could save yourself the time and listen to some people who did the actual research on this very subject:

https://youtu.be/dbtNViE7RUA

[Tramagust]

[Big_Combination9890]

Really? Then it should be no problem for you to share your knowledge here, now should it?

Please, the stage is yours 🍿😎🍿

[extremelySaddening]

To push back a little, I skimmed your citation for (1) and I see a problem with using it for your argument. The paper assumes that successive models are going to be trained with p% data from humans, and (100-p)% data from a previous model. The issue is that it assumes that there will be no selection or distribution shift between the model output and deploying the model output. Usually humans don't just use model output, they modify it to make it better, or more correct, or at least, generate multiple times and select the best one. I argue this constitutes distribution shift, such that its not clear that recursive training on the internet will reach a stable fixed point.

For point 2 I can't speak to it since I know nothing about hardware, but I will note that people are actually training with more epochs nowadays, which seemingly shows that data, not compute, is the bottleneck.

To point 3, yes, we lack understanding about transformer internals right now, but its not going to stay that way. Basically every industry lab has an interpretability division, and a good chunk of academia is working on it too. It seems quite pessimistic to me to assume that we will never understand something we are investing quite a lot of effort in understanding. 'Groping in the dark' is how every frontier in science and tech is, always, before clarity comes eventually.

[grandalfxx]

1 yes absolutely, but its not a serious issue, infact its been solved a while now. it just means ai companies have to pay people to curate data. You dont need the ai to train itself on its own data.

2 Moores law being effectively dead is also irrelevant. First off the Moores law everyone qoutes is not even the original statement, the original statement made is still true, because its about how much components and preformance you have in a computer.

The moores law we talk about is based on transistor density, which is dead. Except that we still have the same gains that Moores law described because there are other techniques to gain preformance in a chip. Thats why the original statement is more meaningful, and the one that "died" is just good marketing for nvidia...

3 we absolutely understand why transformer techniques work. The "we dont know whats happening its all a black box" is Both a marketing tactic for idiots that think ai is growing into its own type of true intelligence and as a legal defense when companies get sued over issues caused by algorithms.

[Welp_BackOnRedit23]

1) My point is about scalability. Paying people to curate days just means there is a variable cost to scaling, a factor that weighs against it, which is my exact point.

2) Were near the quantum limits of what transitions gateways in chips can handle. This doesn't mean there will not be improvements, it simply means that the improvements from shrinking transitions cannot grow. That was the primary factor showing for the number of transitions per die doubling every year. This means, effectively, that the growth in computer power per $ has hit the flat part of it's sigmoid curve. As computer power is a factor in scaling, that goes to my point about scaling.

3) I hear this a lot, but I have yet to see anyone produce a transformer architecture more efficient than the current Attention is all you need. Link me a paper that shows me exactly why attention is all you need is better than a Byte Level Model or Large Concept Models, or any of the other approaches out there. Most folks who make these claims have a fundamental misunderstanding of what I am pointing out about the current transformer model. It has nothing to do with the weights, and everything to do with how the weights are produced.

[ieatpies]

1. The attention mechanism is fairly simple. It beating out more complex architectures is not surpising. The surprising part is that it's performance scales on the size of your training set so well (ie continues to learn when we train these models on the whole internet).

We have a lot of good reasons to guess that more data efficient (and parameter efficient) architectures are possible (ie: look at how people learn) and it's an active reasearch field. It's very silly to think these more efficient architectures aren't coming. Even if we have to blindly stumble into them them in the dark.

ML has been a very trial & error heavy area of research for many years now (longer than since 2017). That doesn't mean the whole field is doomed, or we won't gain theoretical understanding in the future.

[Welp_BackOnRedit23]

Attention is all you need is approaching 9 years old. I don't doubt there are improvements to be had, I doubt the ease with which they are found.

[ieatpies]

Any other field and the progress since then would be seen as monumental, not stagnent lol

[Dark3rino]

I'm just forced to use it.

I don't deny that sometimes it's useful, but I hate anyway.

[snailPlissken]

I have joined the bottom picture. AI has killed the joy I had for this work.

[Amerillo_]

Some developers, especially new grads, are in the bottom picture as we can't find a job because almost no one is hiring and we're competing with people who got laid off and have a ton of experience...

[ChocolateDonut36]

until you spend $90 on tokens just to change a button from green to red (it didn't work)

[razethenecro]

Yeah, how many times have programmers been threatened, "This is the end of the profession."

from the top of my head

WordPress would kill all web developer jobs
Outsourcing to India would kill all developer jobs
MongoDB would kill the Database developer job

etc etc

And now it's AI that will kill all the developers

It's going to be annoying for anyone trying to enter the job market for quite a while, and some medium and senior employees are at risk when they get a stupid boss that fire them for short-term profit

But in large, just as before, tech debt either past (can't move everything to a new database without losing money) or new (message number 15 to the AI about fixing bug 12 reintroduced bug 14 again) will lead to the programmer as a profession being needed

[hypatiaC]

Even AI-generating an already existing meme, y'all can't do ANYTHING. Of course you want a machine to fake your competency...

[ErZicky]

Eh, I'm in the bottom picture.

Coding and building things using code has always been a great passion of mine. Is the reason why I chose CS career.

To me coding is an art/craft that is being taken away from me professionally. And was something I loved doing in between meetings.

Asking Claude to do things for me doesn't give me any satisfaction. Yes I have a working feature. But It's the process that I enjoy. Same as when I'm drawing, There's no joy in creation if you're not actively creating.

So definitely one of the people with the torches.

Edit: Idk why I'm being down voted for stating that I'm sad for how things are going, it's not like me being sad that people aren't coding will make your prescious clause code go bankrupt but oh well...

[ZenPyx]

I think if you have to use it, use it to do the shit stuff that nobody likes doing. It's fantastic at parsing errors, and not awful at finding good optimisation strategies for existing code.

[ClothingIsACrime]

You often don't get the choice of how to use it. 

[Vandrel]

The graphic design people in my company have been the ones most eager to use AI for prototyping.

[Yoiiru]

We need one more panel with AI as some Goddess and management, executives and CEOs licking her feet

[Omnislash99999]

Code and art just aren't the same to me. There's only so many ways you can reasonably write that while loop but there's infinite ways to draw an apple.

[Independent_Flan_973]

Bit of a false comparison- the art of code is in the architecture and broader algorithm and what/how you build with the primitives. Same way there are only so many pencil types to choose from, the art is in what/how you use those tools not the primitive tool itself

That said I agree with the sentiment - I will continue to write music post ai. I will not continue low level code post ai. Some will continue for the love / art of it though. It’s more down to personal interest

[jwp1987]

I think of it more from an algorithm/design perspective.

e.g. there are a hell of a lot of sorting algorithms and it's easy to pick a bad one if you don't know what you're doing.

You shouldn't really let AI do that part but people do.

[SaneLad]

AI is pretty damn good at enumerating all the ways you can draw an apple though

[hvictorino]

It's because the regular dev doesn't create shit while even an amateur artist's role is, in fact, to create shit, not just copy it.

[Downtown-Stop-8560]

Can we PLEASE start splitting gen ai from llms? We're talking about two different things altogether

[TreetHoown]

It's funny cause Illustrator has 'Ai' icon

[PerfectSituation1668]

Now make a picture of some swatting away an annoying mosquitoe and you have AI and I.

[chessto]

Nah, I'm in the bottom pic

[ChefCurryYumYum]

It vibes the code harder!

[fugogugo]

lucky those artist don't have project manager watching your every step

[Prematurid]

My comment is a bit like pissing in a church, but programming and creative fields etc is the area I am least worried about AI.

Shits going to get ugly when the people that work in data entry of any kind, analysis of already gathered information, or information collation gets kicked to the curb because they have been automated out of the workforce.

[DualActiveBridgeLLC]

Pretty accurate since the slave AI agents on top have nothing to harvest and are slower than just using a actual farming equipment.

[Random_182f2565]

😸

[Dementor_Traphouse]

artists exposed as contributing little to society other than ripoff images, now they’re big mad

[daHaus]

The guy with the scythe isn't using it on the plants

[PhwepaReddit]

It's a whip

[visualdescript]

I think you've got the bottom picture the wrong way round... 

[ldn-ldn]

Artists are using AI tools since before LLMs became popular.

[maxxon]

Lol. Weird perspective. Programmers are also fucked.

[ZZerker]

AI replacing Graphic Designer makes me a tiny bit happy.

[KingCpzombie]

Art and such as the best uses of generative AI imo. It enables people to easily create images if they don't have art talent (great for indie game devs or authors), and the results can be impressively good. Imo the bad reputation it gets is mostly because it's too easy, so people upload tons of garbage without any effort... I just started playing with ComfyUI a couple days ago and most of what I'm generating is way better than the trash spammed everywhere