Error

I don't, and probably never will. A whole bunch of reasons:

  • The current state of affairs isn't going to last forever; at some point the fact that nobody's making money with this is going to catch up, a lot of companies providing these services are going to disappear and what remains will become prohibitively expensive, so it's foolish to risk becoming dependent on them.
  • If I had to explain things in natural language all the time, I would become useless for the day before lunch. I'm a programmer, not a consultant.
  • I think even the IntelliSense in recent versions of Visual Studio is sometimes too smart for its own good, making careless mistakes more likely. AI would turn that up to 11.
  • I have little confidence that people, including myself, would actually review the generated code as thoroughly as they should.
  • Maintaining other people's code takes a lot more effort than code you wrote yourself. It's inevitable that you end up having to maintain something someone else wrote, but why would you want all the code you maintain to be that?
  • The use-cases that people generally agree upon AI is good at, like boilerplate and setting up projects, are all things that can be done quickly without relying on an inherently unreliable system.
  • Programming is entirely too fun to leave to computers. To begin with, most of your time isn't even spent on writing code, I don't really get the psychology of denying yourself the catharsis of writing the code yourself after coming up with a solution.

You wrote this all a lot better than I could have, but to expand on 2) I have no desire whatsoever to have a "conversation" (nay, argument) with a machine to try and convince/coerce/deceive/brow-beat (delete as appropriate) it into maybe doing what I wanted.

I don't want to deal with this grotesque "tee hee, oopsie" personality that every company seems to have bestowed on these awful things when things go awry, I don't want its "suggestions". I code, computer does. End of transaction.

People can call me a luddite at this point and I'll wear that badge with pride. I'll still be here, understanding my data and processes and writing code to work with them, long after (as you say) you've been priced out of these tools.

Here's my opinion on those points, if people care.

  • Indeed, that's why I'd love for local models to be enough for my needs. Not yet the case but hopefully someday
  • It's already half my week. Explaining in natural language, to my coworkers, what they need to do. Either directly or through tickets
  • I don't think it's always the case. IDE already have powerful tools but they don't come close to the "understanding" an LLM can have on your code.
  • The generated code is reviewed exactly like any other of my coworkers code. I check it does what it says on the tin and passes tests.
  • All code ends up like other people's code. You don't always remember what something does a few months from now. Overall we read more code than we write, so the importance of the code being readable and easy to understand is the same as before. You're still the one getting woke up a 4am, not the LLM.
  • Not really true. I can implement a feature once and have it implemented and extended on all other services. The LLM mostly understand there are differences between them and work around that. Is it perfect? Ofc no, but I've never seen an automated tool you can just point at a file and say "do the same for x and y".
  • Programming still needs to be done by humans most of the time. LLM are just parrots so they cannot create some new API that a human previously had to create. I like making architectural decisions, organizing the code and structure it how I want. I don't like having to edit 25 files to make some small adjustments. In the same way a "Refactor" button did not make us stop programming, LLM won't either.

Web dev here, never used it :) I like to think for myself

But in those 4 months AIs evolved a lot

Has it really? I don't feel like it's much different for programming compared to 4 months ago.

It's not that I've never tried it, I've dabbled in it consistently over the last few years. If you had said there was a major difference compared to 2 years or maybe even a year ago, sure. In the last 4 months, I guess we've gotten stuff like Claude 4.6, which saw an increase in coding performance by 2.5% according to SWE benchmarks. An improvement, sure, but certainly not an exponential one and not one which will fix the fundamental weaknesses of AI coding. Maybe I'm out of the loop though, so I'm curious, what are those exponential improvements you've seen over the last 4 months? Any concrete models or tools?

I only ever started using and evaluating LLM agents this past December, but in my experience it kinda works now. I can't ascertain exactly why and how, but I was taken away how a simple prompt could get workable results.

I think you're mistaking improvements in tooling as improvements in the LLMs. LLMs are plateauing. The idea of exponential growth is an illusion. We took 20+ year old technology, geared it toward text (the LLM), and trained it on the entire Internet. Then, it's popularity grew exponentially.

This is the hype narrative that Altman, Dario, Jensen, etc. push. They are trying to convince everyone that what we have is the Model T Ford of AI. Just imagine where we'll be in 6 months!

Of course.

My reasons for not using AI are the same as they were four months ago and will be the same in four months, regardless of what the models can or can't do.

Ask again in four years.

I noticed how quickly my own skills started deteriorating when trying to work with it. I'm trying to build my skills, not outsource them.

I also don't love the environmental impact, nor the immorality of how they got/get their training sets for the base models.

If my work tried to force me to use it, I would be looking to change employer. Or lie and say I use it. But our AI use is heavily regulated and generally disencouraged, so luckily no issues there.

You replied to only one of my points, and that's not even what I said...

They train new models on base models, and I'm talking about how they scraped the internet without permission or how websites sold their users data without compensation and how no one was ever given any opportunity to opt out of sharing your work and your words to train these base models on.

Without that grand scale theft we would have no base models anywhere near what we have now.

I'm not opposed to willingly sharing, I'm opposed to profiting from stealing.

Wait, you guys still haven't tried cocaine?

Using it you can work with much more energy and focus! You don't get tired either!

And it's so popular! It must be good!

Please, continue to "use AI daily". Rot your brain, see if I care.

If my competitors want to shoot themselves in the foot that's fine by me, I won't stop them.

Zero use. No need. Been doing this for 15+ years. Plus, if I don't know how to do something I kind of want the mental reward from figuring it out myself.

Yeah. I prefer not externalizing my ability to think.

I don't, it's not better than simply thinking about things myself. There isn't institutional pressure to use it and if there was I would simply lie and not use it.

I have stopped using it, because the skill atrophy kicked in and I don't want to turn into someone chatting with a bot every day.

To quote myself:

I work as a software developer and over the last months, I slipped into a habit of letting ChatGPT write more and more code for me. It’s just so easy to do! Write a function here, do some documentation there, do all of the boilerplate for me, set up some pre-commit hooks, …

Two weeks ago I deleted my OpenAI account and forced myself to write all code without LLMs, just as I did before. Because there is one very real problem of excessive AI useage in software development: Skill atrophy.

I was actively losing knowledge. Sometimes I had to look up the easiest things (like builtin Javascript functions) I was definitely able to work with off the top of my head just a year ago. I turned away from being an actual developer to someone chatting with a machine. I slowly lost the fun in coding, because I outsourced the problem solving aspects that gave me a dopamine boost to the AI. I basically became a glorified copypaster.

I use it at work because my colleagues only use it so it's the only way I can deal with the LLM slop without total killing myself. And it's horrendously bad still. I fucking hate it. Makes the worst fucking decisions.

I'm considering a career change honestly. I can't stand this shit anymore.

Opus 4.6 Gemini 3 pro

Name em Ive tried em. Its all so sub par for anything beyond a one off script.

People have the impression they should be outputting 10x with them so they abuse them into doing more "thinking" Then they should.

Edit: it's fucked the work culture more then it already was fucked when it comes to what defines software quality and expertise

Not using it, not gonna use it. I prefer my skills to be improving, not growing reliant on a glorified "smart" copy-paste.

I don't. Personally, I don't believe that AI assisted coding has a future, and I don't like the quality of what it produces. Either we achieve AGI or whatever the finance bros are hyping up this week, or we don't. If we do, then AI can write code without having a human in the loop, so "vibe coding" is dead. If we don't, then AI code stays where its at right now, which is garbage quality. After a few years vibe coding disasters, demand for human coding will increase, and my skills will be much more valuable than even before all this craziness. In that case, letting those skills atrophy today would be the wrong move.

And if I'm wrong? Well, if AI code generation makes it so anyone who doesn't know how to code can do it... then surely I'll be able to figure it out? My existing skills wouldn't hurt.

Online AI might crash, burn and go away

But open weight local models are here to stay and not going anywhere. We’re not going back to pure intellisense and simple tab completes

Never used it. Don't see any reason to. I just type stuff in my IDE. Works like a charm.

Most of the time I'm not writing large volumes or boilerplate code or anything, I'm making precise changes to solve specific problems. I doubt there's any LLM that can do that more effectively than a programmer with real knowledge of the code base and application domain.

I also work on open source software and we haven't seen a meaningful uptick in good contributions due to AI over the last few years. So if there's some mythical productivity increase happening, I'm just not seeing it.

Not just you, bud. We've seen the science confirm that the supposed productivity increases are a mirage.

More like a manual. Google has become really shitty for complex queries, LLMs can find relevant keywords, documents much more realiably. Granted, if you are asking questions about niche libraries it hallucinates functions quite often so I never ask it to write full pieces of code but just use it more like a stepping stone.

I find it amusing how shamelessly it lies about its hallucinations though. When I point out that a certain function it makes up does not exist the answer is always sth of the form "Sorry you are right that function existed before version X / that function existed in some of the online documentation" etc lol. It is like a halluception. If you ask it to find some links regarding these old versions or documentations they also somehow don't exist anymore.

I wonder if you need to explicitly prompt it to check if a function really exists before suggesting it? Think about how a human brain works... we are constantly evaluating whether or not things are really true based on info in our heads... but we are not telling the models to do the same thing and instead they just yolo some shit that is confidently-wrong (not unlike many humans, admittedly).

Yeah I am not a very efficient user that is for sure, I just ask my question as if typing to a search engine. If one uses a specification document like more serious users do, it probably becomes more accurate.

👋I personally find AI amoral, so I don't use it.

Models trained on open source software, contribute nothing back to those software repos, give zero authorship to those original authors, and packaged up to sell back to us programmers.

Not to mention the resource impact of their massive data centers.

I don't want anything to do with it.

And after 25 years of professional programming, this is increasingly looking like the hill I'm going to die on.

Never have, never will. I’ll quit the industry before I use AI to do my job.

"Are there programmers that still don't use AI?"

What a fucking loaded question, OP. I think you got your answer, in plenty.

I'm not using it either.

Never used it to write my code. Others have given great reasons, which resonate with me, but the biggest one for me is that I enjoy writing code and designing programs. Why would I outsource one of the things I love to do? It’s really that simple for me.

Nope, never use it. I know how to write code myself.

Not the great rebuttal you think it is... AI isn't really about writing code that I couldn't write. Unless you're a beginner it is absolutely not at that level yet. It's about saving time.

Which it definitely can do. Especially for one-off tasks. For vibe coding projects my experience has been mixed. AI seems pretty good for getting things going, especially in areas you aren't familiar with (e.g. I wrote a simple Chrome extension with it; never written a Chrome extension before). But after a certain point they seem to get stuck in a muddle and you basically have to stop using AI, fix all the code it wrote badly and continue yourself.

But overall it can still be significantly faster than being prideful and doing it all by hand.

You either program really boring basic stuff are or a shitty programmer to begin with.

AI, at best, is a boost to the mediocre.

I have consistently been trying to use AI for the actual tasks I need to complete for work over the last year or so (we are gently encouraged to try it, but thankfully not forced). I have found it to be “successful” at maybe 1 in 10 tasks I give it. Even when successful, the code quality is so low I edit heavily before it’s pushed and attributed to me.

I think the problem I have is I rarely work on boilerplate stuff.

Nope, still not using AI and hopefully never will. Writing code is actually pretty fun so why would I want to outsource an AI to do that?

I recently had to tell one of my juniors to turn off his AI tools. His code was just all over the place and difficult to review. He still has a lot to learn, but I've already seen an improvement now that he actually has to be a bit thoughtful.

Having spent much of my software engineering career training and mentoring interns, new-hires, and transfers from other departments, and having toiled with some of their truly inexplicable questions that reveal shaky technical foundations, I can understand why so-called AI would be appealing: inexhaustible, while commanding the full battery of information stores that I could throw at it.

And yet, the reason I don't use AI is precisely because those very interns, new-hires, and transfers invariably become first-class engineers that I have no problem referring to as my equals. It is my observation that I've become better at training these folks up with every passing year, and that means that if I were to instead spend my time using AI, I would lose out on even more talented soon-to-be colleagues.

I have only so much time of my mortal coil remaining, and if the dichotomy is between utilizing inordinate energy, memory, and compute for AI, or sharing my knowledge and skills to even just 2 people per year for the rest of my career, I'll happily choose the latter. In both circumstances, I will never own the product of their labor, and I don't really care to. What matters to me is that value is being created, and I know there is value in bringing up new software engineers into this field. Whereas the value of AI pales in comparison, if it's even a positive value at all.

If nothing else, the advent of AI has caused me to redouble my efforts, to level-up more engineers to the best of my ability. It is a human legacy that I can contribute to, and I intend to.

I don't use AI for programming ever

I'm a programmer who's never used AI. Instead of spending my time correcting and confirming the correctness of generated code, I'd rather figure it out for myself. I think this helps me reinforce my skills and understanding in the long term. Plus it's one less thing to rely on/maintain/pay for.

I don't. I don't care how much AI "evolves". I don't need it so I don't use it.

Restaurants exist and some of them are quite good. But I still have a home cooked meal for every meal. The existence of restaurants doesn't make home cooking obsolete.

Programmers working with obscure languages. LLMs will give broken code and hallucinate stuff a lot more in these cases.
Also, if you already dominate the basics for your language and can quickly search examples of uses for unknown functions/methods, LLMs become mostly useless.

"Still" shut up, clanker.

My team just recently started using copilot for PR reviews.

So far I've found that 90% of what it raises is incorrect. For the stuff it actually finds, the code suggestion to fix it is almost always wrong. It will write 20 lines of code for something that's a one-line fix.

It picked up on one reentry bug on a recursive function that I don't think another dev would have spotted.

It's definitely slowing me down. I hear about AI wasting dev's time with bogus bug reports. It's now integrated into my workflow.

I've already got SonarQube and linters which finds issues the moment I introduce them. They're doing a much better job at maintaining code quality.

I use it as an overconfident rubber duck to bounce ideas and solutions off of in my code, but I don't let it write for me. I don't want the skills I've practiced to atrophy

I've come around on it somewhat at work. Recent models really are getting pretty impressive. It's at the point where I can tell it to read a Jira ticket and implement it, and for simple ones it basically just does it. I'm not sure it's worth the massive environmental and infrastructures detriments (or rather, I'm pretty sure it's not), but it's definitely a productivity boost.

It's also creating cognitive debt tho - every change it does for me automagically is one I don't have to think about and 'earn' myself. You could argue the AI compensates for that by then explaining the code for you, but I think it will lead to some bad results in the mid-long term.

For any personal programming, I don't/wouldn't use it, beyond just replacing Google searches maybe. It defeats the fun of it, and cost money on top of that.

Doesn't really do anything for me. It doesn't feel to me like it has changed all that much.

Sometimes I use it to translate to and from Japanese and English, does that count?

In the last 4 months I've picked up welding and haven't coded. Ez.

I don't use it… every time I've tried it seems more trouble than help

It's like working with a suck up newbie that can't learn

I don't and never will. I'm one of the only people at my ~450 person company that doesn't use an LLM.

Do you believe you will still be working in said company in a year without using LLM?

Are your skills so specific you’re irreplaceable? Or are you as productive without extra tools as your coworkers with them?

Shut up, clanker.

Why?

Nothing has really changed in the past four months. If you really disagree, feel free to try my vibecoding challenge; it closes on March 1, but that's surely no obstacle for the amazing vibecoding chatbots which didn't exist in November and only recently evolved. I did all three challenges by hand and no vibecoder has yet been able to match my mediocre, lackluster work.

...Isn't most AI based on theft?

I use AI for small, atomic, stuff that don't bring any intellectual value to spend time for.

Like "Typescrit. Find smallest element in an array". "Python. Simulate keboard event to avoid computer going to sleep mode". Or copy/past error message because I missed an import and I just want to know which one.

I also use it sometime for well identified algorithm that could be interesting but are not the core of the problem. Like "C#. Clustering algorithm to group points together in a point cloud".

The generated code is catastrophic in term of performances/memory, but it's good enough 80% of the time.

But eveytime I tried to use AI for higher level stuff, or that require several interdependant concepts, it ended up into hallucination pit.

  • I have this problem
  • Cool ! Use solution A !
  • Doesn't work
  • My Bad, use solution B !
  • Doesn't exist
  • Indeed ! For this problem you should apply method A which will work !
  • (-_-)'

I don’t. But my boss is pressuring me to do so because his boss and above are asking for all engineers to use it. The most I use it for is the occasional bash scripting semantics. I prefer not to use it in my daily work.

Have not used it for programming.

At work, this is to some extent because we haven't decided yet whether to trust sending away our codebase to be potentially trained on.

In general, this is because I find the agressive FOMO-inducing marketting revolting, and because it would be increasing our dependence on big tech companies where I believe we should do just the opposite.

I did use it once or twice to get pointers on topics I wasn't familiar with (e.g., new standards or protocols, ...), mostly just to get a helicopter view and some sources to follow it up when i was in a rush at work. Would not do that on my personal time.

I wouldn't object to using an open-source/open-training, ethically trained, self hosted model.

I let mine find example code of how some feature should be used. And it's really sad how often they make something up out of thin air, and how little regret they show for wasting my time.

ai evolved a lot in the last four months guys it's not just a glorified auto complete it's totally different than earlier it's evolving guys like it's real c'mon guys

I never used them. AI is shit, and they're still at the "burning money" stage, wait 2-3 years and they'll enter the enshittification stage, where it will be even worse.

Plenty of times I've seen coworkers stuck at the same problem for hours. Until they come and ask for help and I give them a simple answer for their simple problem. Every time it is "well, I asked the AI and it said this thing and it didn't work, so I asked it to fix it and it didn't either, a bunch of times.". I just tell them "you're surrounded by a lot of people here that know a lot about programming, why don't you ask any of them?".

For real, why use an AI at work where you are surrounded by people that can actually answer your question? It just makes no sense. Leave AI to those that can't pay an artist for their game. Or to those that have a "game design idea that will change the world" but won't pay a programmer even if they can't program themselves.

I am simply not interested. I enjoy writing code. Writing prompts is another task entirely.

I imagine that one day I might ask an ai to teach me how something works, but not to write the code for me. Today, I sometimes have to slog through poorly written documentation, or off topic stack exchange posts to figure something out. It might be easier using an llm for that I guess.

I imagine that if I only cared about getting something working as fast as possible I might use one some day.

But today is not that day.

I only use it when I'm learning something very new and very dense and that's to stand up an example based on a context I'm interested in or already familiar.

It helps me identify parts of the docs to focus on more quickly.

Otherwise no, I'm getting better without tools

I use it to get examples of how to use certain functions if I'm not clear how to use them. I don't use AI to write code.

That's where I am, too. I let mine find example code of how some feature should be used. And it's really sad how often they make something up out of thin air, and how little regret they show for wasting my time.

I keep hearing “oh this new model is better!”

I have a test case I’ve been using. A real-world piece of code I needed, that isn’t something super original but has a few tricky steps in it.

The first time I’ve seen AI able to get even close to finishing the task was recently. Its code worked, and there were only a few minor tweaks I had to make before it was in a condition I’d consider acceptable to merge into my own work.

It took about 30 minutes to do its task, maybe longer. I spent 5 minutes reviewing it but it would have been longer if I hadn’t previously done the task myself and knew exactly what I was looking for. I think it took me about an hour when I did that task myself the first time. Ultimately using AI for this might have saved me about 15 minutes?

I guess it might be borderline useful at that rate. I might look into using it more in the future, but I still don’t really expect it to become a tool I regularly use.

I still refuse to use it for anything other than minor curiosity. I often read AI summaries on coding questions I throw at DDG or google, but I'll usually open the Stack Overflow link or Reddit to read the actual post just to be sure.

Yes. I have tried various agents over the last ~1.5 years on multiple occasions on a bunch of different kinds of engineering type tasks. So far there has been a total of 1 time where the output was reasonable enough that I could build on it and not feel ashamed of the result (and that time probably saved me like half an hour). All other times, I wasted a bunch of time debugging crap and then just wrote the thing from scratch myself.

The closest I've come to somewhat consistent success with them is when I struggled to come up with a good search query for an issue I was having and after asking a longer prompt to an LLM it either gave me a close enough answer that I could figure it out from there, or the answer included some keywords that helped me come up with a query that got the results I needed.

By and large, I consider them crap for anything beyond the basics. On the other hand, I absolutely understand why they may look great in cases where the person using them doesn't have an idea of what the output should look like. They're a minimal productivity boost at best, at an insane cost.

My company GitHub has copilot do code reviews. That is the extent of my AI use. I've had to correct copypasta from AI agents that coworkers used that was just wrong.

I use it daily. Nonstop.

I’ve been a dev for 40 years. This tech is incredible and enables me to create at an unthinkable pace.

Same, but only for ~15 years. I'm amazed at how most of this thread is people saying it's useless.

Agentic coding (Cursor, Claude code, etc) is an absolute game changer, especially when paired with strong models like opus 4.6.

I used it yesterday to implement a feature I knew exactly how to implement by hand, but it did perfectly in 10 minutes what would've taken me at least an hour or two if I had to implement it myself.

My one fear is skill atrophy, I still take certain tasks manually when I have bandwidth just to keep my skills sharp. That's really the only reason though, modern models are capable of pretty much anything I would throw at them.

How are you using it? What are you creating?

software dev. I use windsurf mainly, and change the model as needed for simple vs hard tasks.

I work full time at a startup.

Yup. Use the AI to create and refine an implementation spec .md, tell it to implement, review and fix the parts it fucked up, ship it.

My boss wants to make me use it, but I mever found a good use case for it. And with how things are turning out it just is a no go for me. I may have to use it in my job someday (webdev) but for now I am good without it

If you use ai you're not programming anything so... Yeah only real programmers don't use ai.

We onboarded our team with VS integrated Copilot.

I regularly use inline suggestions. I sometimes use the suggestions that go beyond what VS suggested before Copilot license.. I am regularly annoyed at the suggestions moving off code, even greyed out sometimes being ambiguous with grey text like comma and semicolon, and control conflicting with basic cursor navigation (CTRL+Right arrow)

I am very selective about where I use Copilot. Even for simple systematic changes, I often prefer my own editing, quick actions, or multi cursor, because they are deterministic and don't require a focused review that takes the same amount of time but with worse mental effect.

Probably more than my IDE "AI", I use AI search to get information. I have the knowledge to assess results, and know when to check sources anyway, in addition, or instead.

My biggest issue with our AI is in the code some of my colleagues produce and give me for review, and that I don't/can't know how much they themselves thought about the issues and solution at hand. A lack of description, or worse, AI generated summaries, are an issue in relation to that.

/edit: Here is my comment on the post four months ago.

I mostly don't use AI... At least not directly for programming. I use it for other things like translating, formatting text, etc. i sometimes ask AI to make something for prototyping purposes.

I will occasionally ask AI to solve programming problems, more to keep up with current trends. I like to keep informed with what AI can and cannot do because even if I choose not to use them, the same will not be true with my coworkers or other people I interact with. Having a good understanding of the current "meta" for AI lets me know what to look out for in the context of avoiding disasters.

My company got me a license and there is a clear push to start using it for more mundane tasks (initial code review, migrations and so on). I use it whenever I think it will be faster but it rarely is. In personal projects I used it for some boring tasks like migrating scripts and it's definitely faster than learning completely new tools but it sucks not to understand the code you're using. Also, I know I would do it better myself (just 10x slower). I might use it for some other personal apps which are kind of 'fire and forget' tools, not something I'm planning on maintaining.

i am a beginner hobby program who has not used any AI tools intentionally at all in any aspects of my life so far

I see intentionally because some stuff nowadays defaults to AI tools on

I occasionally use perplexity to help find the right documentation on topics I am not yet familiar with.

Other than that, I never use AI. I don't have copilot, I have tried it and found it distracting. And I never let AI generate code for me.

I use it for scripts or for esoteric error messages or problems I'm having in my dev environment.
I can't be bothered to understand a specific error message that I've never seen before because of an update or whatever.
So getting it to explain errors to me is handy.
I always review the LLMs process and the resulting changes it suggests (including searching what it's done if I don't get it).
It's essentially a context-aware search engine.

Actual coding and problem solving? I enjoy that.

I have tried on multiple occasions. Unfortunately, it never seems to give me the answers I want. It's usually more time efficient to figure it out myself. Maybe I am too old, but I don't think AI is anywhere near ready usefulness.

At my job I don't. I once used it for some open source code where I implemented a fairly complex one line formula; I did eventually figure out the problem and don't remember how helpful the AI's suggestions were.

I use it daily for my software development job.

@CodenameDarlen Yes I proudly never have used IA for coding, or for whatever. And hopefully it will never happen. I will better raise a couple of goats and grow some tomatoes.

I use copilot a lot to create powershell scripts. Dont really care about quality since they are short and often one off cases. Also i use it as another set of eyes to troubleshoot code. Its useful, but i wouldnt use it to vibe code a project.

Every time I do, I regret it. It's like alcoholism but faster, so the pain and anguish comes within a day or two.

Undocumented capricious API drift is gonna trip up the idiot Ai every time.

Yes.

Very mature of you

Thanks mods

AI has evolved a lot, but the regulatory environment hasn't in some industries like health where this shit can't go anywhere near it. Of course there are people who haven't used it.

Tried using it, did not work out for my style of work, and otherwise would not like to rely on it too much.