The thing I dislike most about code assisting tools is that they’re geared to answering your questions instead of giving advice. I’m sure they also give bad recommendations but I’ve seen LLMs basically double down on bad code.
No they’re giving you exactly what you’re asking for. Problem is you’re not asking for advice. Your asking to “build a thing” and expecting it to read your mind.
But are the shareholders pleased?
I’ve been laughing at this quote for 5 minutes straight
It’s so good
He knows he’s right
Also: I code sometimes, and all of my code is of masterpiece quality. I cannot debug my own code, I ask for outside help and we have to dismantle the NT kernel to find out what’s gone wrong
Me and my team take our site down the old fashioned way. Code copied from some rando on the internet.
It’s pretty much the same as AIs do - copy and past random code from Stackoverflow - but they do it automatically.
Copy pasting random snippets from search results and chatgpt until something works is how I do my job.
“until something works" At least you’re doing a better job than some people.
Some leave it at will ai told me so. And they don’t know better and put that into prod!
Good old
curl|shCan we take a moment to ask ourselves - how the hell did piping to shell become ok? We have all kinds of method’s for deploying stuff - from the age old tarball to the new shinny flat pack. But somehow we also became ok with
Curl foo | shOftentimes as root.
Reminds me of the time that I took down the corporate website by translating the entire website into German. I’d been asked to do this but I hadn’t realized that the auto translation Plug-In actually rewrote code into German, I thought it was just going to alter the HTML with JavaScript at runtime, but nope. It actually edited the files.
It also translated the password into German which was fun because it was just random characters so I have no idea what it translated into.
That’s fucking hilarious
Same happened with people using the Cloud To Butt extension which replaced every ‘cloud’ with ‘butt’ even for codes. Hilarity ensued.
I do have that extension installed. Never been bit so far. I don’t copy and paste anymore than a couple of lines at a time.
Wait. Ai doesn’t have logic built beyond untested data that’s thrown at it? Who could had told someone this would happen ahead of time? Conspiracy theorists.
Why have you blanked out bits of the article?
Made by an AI.
Good question, because it’s to narrow it down to the point, and it’s more likely to be a fair use if I commentated it and contain less of the content. For the full content you should view the actual article.
As stated in the article, this has less to do with using AI, more to do with sloppy code reviews and code quality enforcement. Bad code from AI is just the latest version of mindlessly pasting from Stack Overflow.
I encourage jrs to use tools such as Phind for solving problems but I also expect them to understand what they’re submitting and be ready to defend it no differently to any other PR. If they’re submitting code they don’t understand that’s incredibly unprofessional and I would come down very hard on them. They don’t do this though because we don’t hire dickheads.
Shift-left eliminated the QA role.
Now we have AI generated shit code, with devs that don’t understand the low level details of both the language, and the specifics of the generated code.
So we basically have content entry (ai inputs) and extremely shitty QA bundled into the “developer” role.
As a 20 year veteran of the industry, people keep asking me if I think AI will make developers obsolete. I keep telling them “maybe some day, but today’s LLMs are not it. The AI bubble is going to burst, and a few legit use cases will make it through”
We used to have these shit developers and I accepted a lot of bad code back then – if it actually worked – because otherwise “code review” is full-on training, which is an entire other job from the one I was hired to do.
The client ditched that contracting firm, and the devs I work with now are worth putting in time on code review with – but damn, we got hella shit code in our codebase to deal with now. Some of it got tossed, some of it … we live with.
this has less to do with using AI, more to do with sloppy code reviews and code quality enforcement.
They are the same picture.
More specifically: the same kind of decision makers are behind both.
Computer write shite code and the human still gets blamed.
The human turned the code in. They deserve 100% of the blame.
Bad code from AI is just the latest version of mindlessly pasting from Stack Overflow.
Humans literally can not scan all of SO to make a huge copypasta.
It takes much more time, effort, and thought to find various solutions on SO and patch them together into something that works well.
Yeah but… i asked chatgpt once how to style something in asciidoctor. It proposed me html syntax (some inline stuff can be done with html tags in asciidoctor, if output is html) instead of the external style.yml After the usual apology, it suggested some wrong yaml. Third try, because something was wrong in code, it mixed them both.
I mean, sure, some niche usecase in a somewhat obscure (lots of moving parts) lightweight markup. But still, this was a lesson.
AI can be a useful tool, but it’s not a substitute for actual expertise. More reviews might patch over the problem, but at the end of the day, you need a competent software developer who understands the business case, risk profile, and concrete needs to take responsibility for the code if that code is actually important.
AI is not particularly good at coding, and it’s not particularly good at the human side of engineering either. AI is cheap. It’s the outsourcing problem all over again and with extra steps of having an algorithm hide the indirection between the expertise you need and the product you’re selling.
Wow, the text generator that doesn’t actually understand what it’s “writing” is making mistakes? Who could have seen that coming?
I once asked one to write a basic 50-line Python program (just to flesh things out), and it made so many basic errors that any first-year CS student could catch. Nobody should trust LLMs with anything related to security, FFS.
I wish we could say the students will figure it out, but I’ve had interns ask for help and then I’ve watched them try to solve problems by repeatedly asking ChatGPT. It’s the scariest thing - “Ok, let’s try to think about this problem for a moment before we - ok, you’re asking ChatGPT to think for a moment. FFS.”
I had a chat w/ my sibling about the future of various careers, and my argument was basically that I wouldn’t recommend CS to new students. There was a huge need for SW engineers a few years ago, so everyone and their dog seems to be jumping on the bandwagon, and the quality of the applicants I’ve had has been absolutely terrible. It used to be that you could land a decent SW job without having much skill (basically a pulse and a basic understanding of scripting), but I think that time has passed.
I absolutely think SW engineering is going to be a great career long-term, I just can’t encourage everyone to do it because the expectations for ability are going to go up as AI gets better. If you’re passionate about it, you’re going to ignore whatever I say anyway, and you’ll succeed. But if my recommendation changes your mind, then you probably aren’t passionate enough about it to succeed in a world where AI can write somewhat passable code and will keep getting (slowly) better.
I’m not worried at all about my job or anyone on my team, I’m worried for the next batch of CS grads who chatGPT’d their way through their degree. “Cs get degrees” isn’t going to land you a job anymore, passion about the subject matter will.
Outsourcing killed a lot of the junior and even mid-level career level opportunities in CS and AI seems on track to do the same.
The downside is that going into CS now (and having gone into CS in the last decade or so, especially in English-speaking countries) was basically the career equivalent of just out of the starting line running full speed into a brick wall.
The upside is that for anybody who now is a senior techie things have never been this good because there are significantly fewer people at that level than there is need for such people, since in the last decade or so a lot of people haven’t had the chance to progress in their careers to that point.
Whilst personally this benefits me, I’m totally against this shit and what it has done to the kids entering my career.
Yup, and that’s why I’ll discourage people from entering my career, not because it’s a bad gig and it’s going away, but because the bar for competency is about to go up. Do it if you’re passionate and you’ll probably do well for yourself, but don’t do it if you’re just looking for a good job. If you just want a good job, go into nursing, accounting, or the trades.
I think it’s even worse than just the bar for competency going up: even for a coding wizard going into the career, it’s a lot harder to squeeze through the bottleneck which is getting an entry level position nowadays unless they have some public proof out on the Net of how good they’re at coding (say, commits in open source projects, your own public projects, or even Youtube videos about it).
This is something that will negativelly impact perfectly capable young developers who have an introvert personality type (which are most of them in my experience, even in domains such as Hacking) since some of the upsides of Introversion are a greater capacity for really focusing on on things and for detailed analysis - both things that make for the best programmers - and self publicising isn’t a part of the required skillset for good developers (though sooner or later the best ones will have to learn some “image management” if they end up in the Corporate world)
I’m a bit torn on this since on one side salesmanship being more of a criteria determining one’s chances of getting a break at the start of one’s career as a developer is bad news (good coding and good salesmanship tend to be inverselly correlated) but on the other side a junior developer with some experience actually working with other people on real projects with real users (because they contributed to existing open source projects) has already started learning what we have to teach fresh-out-of-Uni developers to make them professionals.
it’s a lot harder to squeeze through the bottleneck
Eh, I think that’s overblown. As someone involved in hiring, we go through a ton of crappy candidates before finding someone half-decent, and when we see someone who actually knows what they’re doing, we rush them through the process. The problem is that we’re not a big tech company, we’re in manufacturing, but we do interesting things w/ software. So getting on at one of the big tech companies may be challenging, but if you broaden the scope a little, there are tons of jobs waiting. We’ve had junior positions open for months because the hiring pool is so trash, but when we see a good candidate, we can get an offer to them by the end of the week.
We don’t care too much about broader visibility (though I will look at your code if you provide a link), we expect competency on our relatively simple coding challenges, as well as a host of technical questions. We also don’t mind hiring immigrants, we’ve sponsored a number of immigrants on our team.
introversion
As an introvert myself, I totally get it. I got my job because a recruiter reached out to me, not because I was particularly good at following up with applications. And that’s why I tend to tell people to not get into CS. I encourage them to take CS classes if they’re offered, but not to make it a career choice, and this is for two reasons:
- manage expectations of the future of CS - junior jobs are likely to contract a bit w/ AI
- thin the field so it’s easier to find the good candidates - we have to go through 5-10 candidates before we find someone we like
I see. That does change the idea I had about things a bit.
It’s been a while since I was last hiring.
I wasn’t aware that the problem nowadays in the West (or at least the US) was an excess of people who don’t really have a natural skill for it choosing software development as a career.
That kind of thing was one of the main problems with outsourcing to India maybe a decade ago: the profession was comparatively very well paid for the country so it attracted far too many people without the right skills resulting in a really low average quality of the programmers there - India had really good programmers just like everywhere else but then had a ton of people also working as programmers who should never had gone into it, so the experience of those having to deal with outsourced programming in India usually was pretty bad (I remotelly was a technical lead for a small outsourced team in India from London, and they were really bad whilst, curiously, the good programmers from the Indian Subcontinent I worked with had emigrated from there and were working in London and New York).
And that’s not even getting into how flooded the sector is with the hundreds of thousands being laid off for the past few years
And that’s what I’m blaming the low quality of applicants on recently. We looked for almost two years for a FE lead, and then they ended up being super toxic a few months in (they blew up in a meeting w/ some remote teams that came to town to visit). Even decent junior devs are hard to find it seems.
So it seems a lot of these layoffs are cutting out the less skilled devs, but given that we’ve been able to hire a few great people in the last year, there is some good talent getting caught in the cross-fire as well.
Critical thinking is not being taught anymore.
Has critical thinking ever been taught? Feel like it’s just something you have or you don’t.
Critical thinking, especially Skepticism, does not make for good Consumers or mindless followers of Political Tribes.
Critical thinking is essentially learning to ask good questions and also caring enough to follow the threads you find.
For example, if mental health is to blame for school shootings then what is causing the mental health crisis and are we ensuring that everyone has affordable access to mental healthcare? Okay, we have a list of factors that adversely impact mental health, what can we do to address each one? Etc.
Critical thinking isn’t hard, it just takes time, effort.
I have the impression that most people (or maybe it’s my faith in Humanity that’s at an all time low and it’s really just “some people”) just want pre-chewed explanations given to them rather than spend time and energy figuring things out themselves - basically baby pap as ideas food rather than cooking their own ideas food out of raw ingredients.
Certainly that would help explain the resurgence of Populist sloganeering and continued popularity of Religion (with it’s ever popular simple explanations of “Deity did it” and “it’s the will of Deity”)
British primary schools used to have something called ‘problem solving’ it was usually a simple maths problem described in words that required some degree of critical thinking to solve. e.g. A frog is at the bottom of a 30m well, it climbs 7m each day but in the night it slides 3m back down in its sleep. You can’t just calculate 30/(7-3) because it doesn’t account for the day the frog gets over the top and thus doesn’t slide back down in its sleep.
Not the most complex problem but pretty good for kids under 10 to start getting the basics.
Nah, it’s something you’re lucky enough to learn coincidentally or you don’t. And if you found out too late in life, you might be too stubborn to learn it at that point.
Altering the prompt will certainly give a different output, though. Ok, maybe “think about this problem for a moment” is a weird prompt; I see how it actually doesn’t make much sense.
However, including something along the lines of “think through the problem step-by-step” in the prompt really makes a difference, in my experience. The LLM will then, to a higher degree, include sections of “reasoning”, thereby arriving at an output that’s more correct or of higher quality.
This, to me, seems like a simple precursor to the way a model like the new o1 from OpenAI (partly) works; It “thinks” about the prompt behind the scenes, presenting only the resulting output and a hidden (by default) generated summary of the secret raw “thinking” to the user.
Of course, it’s unnecessary - maybe even stupid - to include nonsense or smalltalk in LLM prompts (unless it has proven to actually enhance the output you want), but since (some) LLMs happen to be lazy by design, telling them what to do (like reasoning) can definitely make a great difference.
And that’s why I’m the one that fixes the PC when it breaks… because even good programmers may even consider the pc to be magicboxes if they’ve never turned a screwdriver in their life…
I like using it like a rubber ducky. I even have it respond almost entirely in quacks.
Note: it’s a local model running for free. Don’t pay anyone for this slop.
My experience with ChatGPT goes like this:
- Write me a block of code that makes x thing
- Certainly, here’s your code
- Me: This is wrong.
- You’re right, this is the correct version
- Me: This is wrong again.
- You’re right, this is the correct version
- Me: Wrong again, you piece of junk.
- I’m sorry, this is the correct version.
- (even more useless code) … and so on.
I interviewed someone who used AI (CoPilot, I think), and while it somewhat worked, it gave the wrong implementation of a basic algorithm. We pointed out the mistake, the developer fixed it (we had to provide the basic algorithm, which was fine), and then they refactored and AI spat out the same mistake, which the developer again didn’t notice.
AI is fine if you know what you’re doing and can correct the mistakes it makes (i.e. use it as fancy code completion), but you really do need to know what you’re doing. I recommend new developers avoid AI like the plague until they can use it to cut out the mundane stuff instead of filling in their knowledge gaps. It’ll do a decent job at certain prompts (i.e. generate me a function/class that…), but you’re going to need to go through line-by-line and make sure it’s actually doing the right thing. I find writing code to be much faster than reading and correcting code so I don’t bother w/ AI, but YMMV.
An area where it’s probably ideal is finding stuff in documentation. Some projects are huge and their search sucks, so being able to say, “find the docs for a function in library X that does…” I know what I want, I just may not remember the name or the module, and I certainly don’t remember the argument order.
AI is like having an intern you can delegate to. If you give it a simple enough task with clear direction, it can come up with something useful, but you need to check.
AI is fine if you know what you’re doing and can correct the mistakes it makes (i.e. use it as fancy code completion)
I’m not a developer and i havent touched code for over 10 yrs, but when i heard about my company pushing AI tools on the devs, i thought exactly what you said. It should be a tool for experienced devs who already know what they’re doing…
Lo and behold they did the opposite… They fired all the senior people and pushed AI on the interns and new grads… and then expected AI to suddenly make the jr devs work like the expensive Sr devs they just fired…
Wtf
Yeah, it makes no sense. AI is at best a replacement for junior devs and interns.
That sums up my experience too, but I have found it good for discussing functions for SQL and Powershell. Sometimes, it’ll throw something into its garbage code and I’ll be like “what does this do?” It’ll explain how it’s supposed to work, I’ll then work out its correct usage and solve my problem. Weirdly, it’s almost MORE helpful than if it just gave me functional code, because I have to learn how to properly use it rather than just copy/paste what it gives me.
That’s true. The mistakes actually make learning possible!
Man, designing CS curriculum will be easy in future. Just ask it to do something simple, and ask your CS students to correct the code.
All the while it gets further and further from the requirements. So you open five more conversations, give them the same prompt, and try pick which one is least wrong.
All the while realising you did this to save time but at this point coding from scratch would have been faster.
AI created 17 Security Corporation™️s in response to this comment.
Nobody should trust LLMs with anything
ftfy
also any inputs are probably scrapped and used for training, and none of these people get GDPR
Eh, I’d say mostly.
I have one right now that looks at data and says “Hey, this is weird, here are related things that are different when this weird thing happened. Seems like that may be the cause.”
Which is pretty well within what they are good at, especially if you are doing the training yourself.
you are part of the problem
That is about the most generic statement possible, with nearly zero knowledge of what I’m doing on yours.
So… What problem? Feel free to enlighten me.
also any inputs are probably scraped
ftfy
Let’s hope it’s the bad outputs that are scrapped. <3
What llm did you use, and how long ago was it? Claude sonnet usually writes pretty good python for smaller scripts (a few hundred lines)
It was ChatGPT from earlier this year. It wasn’t a huge deal for me that it made mistakes, because I had a very specific use case and just wanted to save some time; I knew I’d have to troubleshoot grafting it into my function, but even after I pointed out that it was using depreciated syntax (and how to correct it), it just spat out the code again with even more errors and still using depreciated syntax.
All LLMs will fail like this in some way, because they don’t actually understand what they’re generating (i.e. they have no mechanism for self-evaluating the veracity of their statements).
This is a very simple one, but someone lower down apparently had issue with a script like this:
https://i.imgur.com/wD9XXYt.png
I tested the code, it works. If I was gonna change anything, probably move matplotlib import to after else so it’s only imported when needed to display the image.
I have a lot more complex generations in my history, but all of them have personal or business details, and have much more back and forth. But try it yourself, claude have a free tier. Just try to be clear in the prompt what you want. It might surprise you.
I appreciate the effort you put into the comment and your kind tone, but I’m not really interested in increasing LLM presence in my life.
I said what I said, and I experienced what I experienced. Providing me an example where it works is in no way a falsification of the core of my original comment: LLMs have no place generating code for secure applications apart from human review, because they don’t have a mechanism to comprehend or proof their own work.
Removed by mod
It’s already hard to not write buggy code, but I don’t think you will detect them by just reviewing LLM code, because detecting issues during code review is much harder than when you’re writing code.
Definitely. That’s what I was trying to drive at, but you said it well.
How come the hallucinating ghost in the machine is generating code so bad the production servers hallucinate even harder and crash?
I’m not sure how AI supposed to understand code. Most of the code out there is garbage. Even most of the working code out there in the world today is garbage.
LLMs are not supposed to understand, they are supposed to pretend to understand.
Heck, I sometimes can’t understand my own code. And this AI thing tries to tell me I should move this code over there and do this and that and then poof it doesn’t compile anymore. The thing is even more clueless than me.
Randomly rearranging non working code one doesn’t understand… sometimes gets working code, sometimes doesn’t fix the bug, sometimes it won’t even compile anymore? Has no clue what the problem is and only solves it randomly by accident?
Sounds like the LLM is as capable as me /s
Sometimes you even get newer and more interesting bugs!
As a senior dev, this sounds like job security. :)
You know you’re Sr. when it doesn’t even bother you anymore. It amuses you.
My boss comes to me saying we must finish feature X by date Y or else.
Me:
We’re literally in this mess right now. Basically, product team set out some goals for the year, and we pointed out early on that feature X is going to have a ton of issues. Halfway through the year, my boss (the director) tells the product team we need to start feature X immediately or it’s going to have risk of missing the EOY goals. Product team gets all the pre-reqs finished about 2 months before EOY (our “year” ends this month), and surprise surprise, there are tons of issues and we’re likely to miss the deadline. Product team is freaking out about their bonuses, whereas I’m chuckling in the corner pointing to the multiple times we told them it’s going to have issues.
There’s a reason you hire senior engineers, and it’s not to wave a magic wand and fix all the issues at the last minute, it’s to tell you your expectations are unreasonable. The process should be:
- product team lists requirements
- some software dev gives a reasonable estimate
- senior dev chuckles and doubles it
- director chuckles and adds 25% or so to the estimate
- if product team doesn’t like the estimate, return to 1
- we release somewhere between 3 and 4
If you skip some of those steps, you’re going to have a bad time.
Can confirm. At our company, we have a tech debt budget, which is really awesome since we can fix the worst of the problems. However, we generate tech debt faster than we can fix it. Adding AI to the mix would just make tech debt even faster, because instead of senior devs reviewing junior dev code, we’d have junior devs reviewing AI code…
You have to be hallucinating to understand.
I’ve licked the frog twice! How many does it take?
A-one. A-two-hoo. A-three… *Crumch*
I take it that frog hadn’t been de-boned.
Sounds like the Sirius cybernetics corporation:
The fundamental design flaws are obscured by the superficial design flaws.
ahahahaha…
This must sound terrible. So high pitched
Maybe so high pitched it’s out of the hearing range of most humans
See? AI creates jobs! Granted, it’s specialized mop up situations, but jobs!
It’ll be even more interesting in the future! Every now and then a T1000 will lose all hydraulic fluids right out it’s prosthetic anus and they’ll need someone there with a mop and bucket! Our economy lives on…
If by economy you mean some of us are needed to mop up hydraulic ass-juices at gunpoint I suppose you’re technically correct. At least they have to feed us, right?
…right?
Having spent most of my career working as a senior contractor, which often meant landing on code bases with 3+ layers of fuckups, I can only imagine how painful it will be to end up having to clean and fix AI generated code, since that doesn’t even have a consistent coding style or pattern of design errors and bugs.
Where’s the articles about humans doing the exact same shit for the last 40-50 fucking years and no one bats an eye. Looks at the prompts from people complaining about ai responses and see they don’t know how to use this shit any better than my grandparents can use a touchtone phone.
“Build an app”
Fails
“This ai is shit”.
Just like ever other piece of technology. Garbage in garbage out. If you can’t reliably describe what you want then no one is going to be able to do it. AI just blatantly points out your descriptive failures.
I’ve yet to see generative AI make an error that a human couldn’t make. Maybe that’s why people seem so hateful of it; they were expecting it to be superhuman but instead it’s too much like us.
Ai llms have learned from us. Good and bad. It doesn’t know the difference between good and bad unless you tell it.
So you have to know what’s good or bad from the get go before using it and trusting it yet.
And some blindly trust ai already… Which its far from that level of trust
That’s on them though. The other ones making the claim that it’s supposed to be The Culture, but I don’t think anyone at the companies is saying that it is.
Lmao my job announced layoffs a few months back. They continue to parade their corporate restructuring plan in front of us like we give a fuck if shareholders make money. My output has dropped significantly as I search for another role. Whatever code I do write now is always just copy pasted from AI (which is getting harder to use…fuck you Copilot). I give zero fucks about this place anymore. Maybe if people had some small semblance of investment in their company’s success (i.e.: not milked by shareholders and beaten to dust by shitty profit driven metrics that take away from the core business), the employees might give enough fucks to not copy paste shitty third party code.
Additionally, this is a training issue. Don’t offload the training of your people onto the universities (which then trap the students into an insurmountable debt load leading them to take jobs they otherwise wouldn’t want to take just to eat and have a roof over their heads). The modern corporate landscape has created a perfect shitstorm of disincentives for genuine effort and diligence. Then you expect us to give a shit about your company even though the days of 40 years and a pension are now gone. We’re stuck with 401k plans and social security and the luck of the draw as to whether we can retire or not. Work your whole life for what? Fuck you. I’m gonna generate that AI code and enjoy my 30s and 40s.
A workforce trapped by debt, forced to prioritize job security and paycheck size over passion or purpose. People end up in roles they don’t care about, working for companies they have no investment in, simply to keep up with loan payments and the ever increasing cost of living.
“Why is my organization falling apart!?” Fucking look up from the stupid fucking metrics that don’t actually tell you anything you dumb fucks. Make an actual human decision and fix the wealth inequality. It’s literally always wealth inequality.
Are you also finding copilot to be less helpful of late? The other day it couldn’t follow the simplest of instructions
You are my spirit animal.
15 years ago I got a job where I wasn’t allowed to do anything. I hated it. I wanted to learn and be valuable and be valued. I left that job.
I worked for a bank and then Red Hat and I loved what I did and burned myself out trying to make them happy. Only to find out they still didn’t value me.
I switched jobs two years ago and increased my pay 30% overnight and back to a job doing nothing. And I’m totally fine with it now. I have a family and I focus on them and during work, if they don’t have anything for me to do I make my own happiness.
Fuck corporations. I’ll take your money, I’ll never again kill myself as I’ll never be valued anyway. Jobs aren’t worth it. People are.
Similar trajectory for me, but I’m now being micromanaged on the daily. We got a new CIO recently who is micromanaging his direct reports and our culture has evaporated overnight. The shit is indeed rolling down hill and the writing is on the wall to leave. I know it’s not just me either. There will be an exodus when rates get cut and hiring picks up again. This place is fucked.
But that’s the key. If you can find something and lay low with minimal annoyance, hang onto that for as long as you can.
I told my manager that I’ve been burned and can’t make myself work hard for another company again. She’s leaving so there’s no vested interest in the company for her. But yeah, fuck these cunts.
“People work in roles they don’t care about, for companies they have no investment in, to pay loans they shouldn’t have.”
That sounds like a fight club quote lol. I know you didn’t say “loans they shouldn’t have” but the cost of college is just stupidly high. It doesn’t have to be free but come on.
Chuck Palahniuk leaking into my writing like the carrot out of the protagonist’s ass in Guts.
It doesn’t have to be free but come on.
I beg to differ! My degree was free for all intents and purposes, and no, it didn’t take away from the challenge or the quality of education. I cried blood tears in order to graduate but it was worth it.
Also it is pure junk. Chat-GPT code may come out fast on the screen but it’s garbage. I tried python and c++ both just pure garbage. Sure I got it to do what I wanted but only after a day of hair pulling repetitive madness. Simple task, open an image and invert it . Then we’ll it opened the image but didn’t invert. Or maybe it’s upside down. Can you open the image right side up and invert it…fuck fuck, why is the window full screen? Did I ask for full screen, shit heavens no! Anyway it’s a fuckin idiot just rambling code at me.
Open it how using what at what size what codec where, for how long, for what purpose, using what data structures, use what libraries, what versions. You sound like my PO trying to request an update to software they have no comprehension of.
If old you said to me was open an image and invert it, I would probably turn it upside down as well. What are you trying to get it to do?
Probably make the bright pixels dark and the dark pixels bright.
So what they should have said is to make the image negative.
That’s being a standard image editing function since the days of film but you have to use the correct terminology.
It’s called invert in Photoshop:
https://www.adobe.com/creativecloud/photography/discover/invert-colors.html
I use it for Ansible, so not for code, and just to reduce the time my brain is exposed to Ansible.
