Devils advocate, not my actual opinion; if you can make a Thing that people will pay to use, easily and without domain specific knowledge, why would you not? It may hit issues at some point but by them you’ve already got ARR and might be able to sell it.
If you started from first principles and made a car or, in this case, told an flailing intelligence precursor to make a car, how long would it take for it to create ABS? Seatbelts? Airbags? Reinforced fuel tanks? Firewalls? Collision avoidance? OBD ports? Handsfree kits? Side impact bars? Cupholders? Those are things created as a result of problems that Karl Benz couldn't have conceived of, let alone solve.
Experts don't just have skills, they have experience. The more esoteric the challenge, the more important that experience is. Without that experience you'll very quickly find your product fails due to long-solved problems leaving you - and your customers - in the position of being exposed dangers that a reasonable person would conclude shouldn't exist.
Yeh, arguably and to a limited extent, the problems he's having now aren't the result of the decision to use AI to make his product so much as the decision to tell people about that and people deliberately attempting to sabotage it. I'm careful to qualify that though because the self evident flaw in his plan even if it only surfaced in a rather extreme scenario, is that he lacks the domain specific knowledge to actually make his product work as soon as anything becomes more complicated than just collecting the money. Evidently there was more to this venture than just the building of the software, that was necessary to for it to be a viable service. Much like if you consider yourself the ideas man and paid a programmer to engineer the product for you and then fired them straight after without hiring anyone to maintain it or keep the infrastructure going or provide support for your clients and then claimed you 'built' the product, you'd be in a similar scenario not long after your first paying customer finds out the hard way that you don't actually know anything about your own service that you willingly took money for. He's discovering he can't actually provide the service part of the Software as a Service he's selling.
Was listening to my go-to podcast during morning walkies with my dog. They brought up an example where some couple was using ShatGPT as a couple's therapist, and what a great idea that was. Talking about how one of the podcasters has more of a friend like relationship to "their" GPT.
I usually find this podcast quite entertaining, but this just got me depressed.
ChatGPT is by the same company that stole Scarlett Johansson's voice. The same vein of companies that thinks it's perfectly okay to pirate 81 terabytes of books, despite definitely being able to afford paying the authors. I don't see a reality where it's ethical or indicative of good judgement to trust a product from any of these companies with information.
I agree with you, but I do wish a lot of conservatives used chatGPT or other AI's more. It, at the very least, will tell them all the batshit stuff they believe is wrong and clear up a lot of the blatant misinformation. With time, will more batshit AI's be released to reinforce their current ideas? Yea. But ChatGPT is trained on enough (granted, stolen) data that it isn't prone to retelling the conspiracy theories. Sure, it will lie to you and make shit up when you get into niche technical subjects, or ask it to do basic counting, but it certainly wouldn't say Ukraine started the war.
It will even agree that AIs shouldn't controlled by oligarchic tech monopolies and should instead be distributed freely and fairly for the public good, but the international system of nation states competing against each other militarily and economically prevents this. But maybe it will agree to the opposite of that too, I didn't try asking.
Can't expect predictive text to be able to do math. You can get it to use a programming language to do it tho. If you ask it in a programmatic way it'll generate and run it's own code. Only way I got it to count the amount of r's in strawrbrerry.
This feels like the modern version of those people who gave out the numbers on their credit cards back in the 2000s and would freak out when their bank accounts got drained.
last week some new up and coming coder was showing me their tons and tons of sites made with the help of chatGPT. They all look great on the front end. So I tried to use one. Error. Tried to use another. Error. Mentioned the errors and they brushed it off. I am 99% sure they do not have the coding experience to fix the errors. I politely disconnected from them at that point.
What's worse is when a noncoder asks me, a coder, to look over and fix their ai generated code. My response is "no, but if you set aside an hour I will teach you how HTML works so you can fix it yourself." Never has one of these kids asking ai to code things accepted which, to me, means they aren't worth my time. Don't let them use you like that. You aren't another tool they can combine with ai to generate things correctly without having to learn things themselves.
100% this. I've gotten to where when people try and rope me into their new million dollar app idea I tell them that there are fantastic resources online to teach yourself to do everything they need. I offer to help them find those resources and even help when they get stuck. I've probably done this dozens of times by now. No bites yet. All those millions wasted...
I've been a professional full stack dev for 15 years and dabbled for years before that - I can absolutely code and know what I'm doing (and have used cursor and just deleted most of what it made for me when I let it run)
That is the real dead Internet theory: everything from production to malicious actors to end users are all ai scripts wasting electricity and hardware resources for the benefit of no human.
The Internet will continue to function just fine, just as it has for 50 years. It’s the World Wide Web that is on fire. Pretty much has been since a bunch of people who don’t understand what Web 2.0 means decided they were going to start doing “Web 3.0” stuff.
That would only happen if we give power to our ai assistants to buy things on our behalf, and manage our budgets. They will decide among themselves who needs what and the money will flow to billionaires pockets without any human intervention. If humans go far enough, not even rich people would be rich, as trust funds, stock portfolios would operate under ai. If the ai achieves singularity with that level of control, we are all basically in spectator mode.
AI is yet another technology that enables morons to think they can cut out the middleman of programming staff, only to very quickly realise that we're more than just monkeys with typewriters.
but the difference is a technical team of software developers can mitigate an attack and patch it. This guy has no tech support than the AI that sold him the faulty code that likely assumed he did the proper hardening of his environment (which he did not).
Openly admitting you programmed anything with AI only is admitting you haven't done the basic steps to protecting yourself or your customers.
The fact that “AI” hallucinates so extensively and gratuitously just means that the only way it can benefit software development is as a gaggle of coked-up juniors making a senior incapable of working on their own stuff because they’re constantly in janitorial mode.
Plenty of good programmers use AI extensively while working. Me included.
Mostly as an advance autocomplete, template builder or documentation parser.
You obviously need to be good at it so you can see at a glance if the written code is good or if it's bullshit. But if you are good it can really speed things up without any risk as you will only copy cody that you know is good and discard the bullshit.
Obviously you cannot develop without programming knowledge, but with programming knowledge is just another tool.
I maintain strong conviction that if a good programmer uses llm in their work, they just add more work for themselves, and if less than good one does it, they add new exciting and difficult to find bugs, while maintaining false confidence in their code and themselves.
I have seen so much code that looks good on first, second, and third glance, but actually is full of shit, and I was able to find that shit by doing external validation like talking to the dev or brainstorming the ways to test it, the things you categorically cannot do with unreliable random words generator.
That's certainly one theory, but as we are largely out of training data there's not much new material to feed in for refinement. Using AI output to train future AI is just going to amplify the existing problems.
To get better it would need better training data. However there are always more junior devs creating bad training data, than senior devs who create slightly better training data.
This is what happens when you don't know what your own code does, you lose the ability to manage it, that is precisely why AI won't take programmer's jobs.
Is the implication that he made a super insecure program and left the token for his AI thing in the code as well? Or is he actually being hacked because others are coping?
AI writes shitty code that's full of security holes, and Leo here has probably taken zero steps to further secure his code. He broadcasts his AI written software and its open season for hackers.
Potentially both, but you don't really have to ask to be hacked. Just put something into the public internet and automated scanning tools will start checking your service for popular vulnerabilities.
He told them which AI he used to make the entire codebase. I'd bet it's way easier to RE the "make a full SaaS suite" prompt than it is to RE the code itself once it's compiled.
Someone probably poked around with the AI until they found a way to abuse his SaaS
LLMs aren't really at the point where they can spit out an entire program, including handling deployment, environments, etc. without human intervention.
If this person is 'not technical' they wouldn't have been able to successfully deploy and interconnect all of the pieces needed.
The AI may have been able to spit out snippets, and those snippets may be very useful, but where it stands, it's just not going to be able to, with no human supervision/overrides, write the software, stand up the DB, and deploy all of the services needed. With human guidance sure, but with out someone holding the AIs hand it just won't happen (remember this person is 'not technical')
idk ive seen some crazy complicated stuff woven together by people who cant code. I've got a friend who has no job and is trying to make a living off coding while, for 15+ years being totally unable to learn coding. Some of the things they make are surprisingly complex. Tho also, and the person mentioned here may do similarly, they don't ONLY use ai. They use Github alot too. They make nearly nothing themself, but go thru github and basically combine large chunks of code others have made with ai generated code. Somehow they do it well enough to have done things with servers, cryptocurrency, etc... all the while not knowing any coding language.
Claude code can make something that works, but it's kinda over engineered and really struggles to make an elegant solution that maximises code reuse - it's the opposite of DRY.
I'm doing a personal project at the moment and used it for a few days, made good progress but it got to the point where it was just a spaghetti mess of jumbled code, and I deleted it and went back to implementing each component one at a time and then wiring them together manually.
My current workflow is basically never let them work on more than one file at a time, and build the app one component at a time, starting at the ground level and then working in, so for example:
Create base classes that things will extend,
Then create an example data model class, iterate on that architecture A LOT until it's really elegant.
Then Ive been getting it to write me a generator - not the actual code for models,
Then (level 3) we start with be UI.layer, so now we make a UI kit the app will use and reuse for different components
Then we make a UI component that will be used in a screen. I'm using flutter as an example so It would be a stateless component
We now write tests for the component
Now we do a screen, and I import each of the components.
It's still very manual, but it's getting better. You are still going to need a human cider, I think forever, but there are two big problems that aren't being addressed because people are just putting their head in the sand and saying nah can't do it, or the clown op in the post who thinks they can do it.
Because dogs be clownin, the public perception of programming as a career will be devalued "I'll just make it myself!" Or like my rich engineer uncle said to me when I was doing websites professionally - a 13 year old can just make a website, why would I pay you so much to do it. THAT FUCKING SUCKS. But a similar attitude has existed from people "I'll just hire Indians". This is bullshit, but perception is important and it's going to require you to justify yourself for a lot more work.
And this is the flip side good news. These skills you have developed - it's is going to be SO MUCH FUCKING HARDER TO LEARN THEM. When you can just say "hey generate me an app that manages customers and follow ups" and something gets spat out, you aren't going to investigate the grind required to work out basic shit. People will simply not get to the same level they are now.
That logic about how to scaffold and architect an app in a sensible way - USING AI TOOLS - is actually the new skillset. You need to know how to build the app, and then how to efficiently and effectively use the new tools to actually construct it. Then you need to be able to do code review for each change.
Mmmmmm no, Claude definitely is. You have to know what to ask it, but I generated and entire deadman’s switch daemon written in go in like an hour with it, to see if I could.
SaaS involves a suite of tooling and software, not just a program that you build locally.
You need at a minimum, database deployments (with scaling and redundancy) and cloud software deployments (with scaling and redundancy)
SaaS is a full stack product, not a widget you run on your local machine. You would need to deputize the AI to log into your AWS (sorry, it would need to create your AWS account) and fully provision your cloud infrastructure.
It's further than you think. I spoke to someone today about and he told me it produced a basic SaaS app for him. He said that it looked surprisingly okay and the basic functionalities actually worked too. He did note that it kept using deprecated code, consistently made a few basic mistakes despite being told how to avoid it, and failed to produce nontrivial functionalies.
He did say that it used very common libraries and we hypothesized that it functioned well because a lot of relevant code could be found on GitHub and that it might function significantly worse when encountering less popular frameworks.
Still it's quite impressive, although not surprising considering it was a matter of time before people would start to feed the feedback of an IDE back into it.
We just built and deployed a fully functional AWS app for our team entirely written in AI. From the terraform, to the backing API, to the frontend Angular. All AI. I think AI is further along here than you suspect.
How? We try to adopt AI for dev work for years now and every time the next gen tool or model gets released it fails spectacularly at basic things. And that's just the technical stuff, I still have no idea on how to tell it do implement our use cases as it simply does not understand the domain.
It is great at building things other have already built and it could train on but we don't really have a use case for that.
Might be satire, but I think some "products based on LLMs" (not LLMs alone) would be able to. There's pretty impressive demos out there, but honestly haven't tried them myself.
My impression is that with some guidance it can put together a basic skeleton of complex stuff too. But you need a specialist level of knowledge to fix the fail at compile level mistakes or worse yet mistakes that compile but don't at all achieve the intended result. To me it has been most useful at getting the correct arguments for argument heavy libraries like plotly, remembering how to do stuff in bash or learning something from scratch like 3js. Soon as you try to do something more complex than it can handle, it confidently starts cycling through the same couple of mistakes over and over. The key words it spews in those mistakes can sometimes be helpful to direct your search online though.
So it has the potential to be helpful to a programmer but it cant yet replace programmers as tech bros like to fantasize about.
Reminds me of the days before ai assistants where people copy pasted code from forums and then you’d get quesitions like “I found this code and I know what every line does except this ‘for( int i = 0; i < 10; i ++)’ part. Is this someone using an unsupported expression?”
It's a standard formatted for-loop. It's creating the integer variable i, and setting it to zero. The second part is saying "do this while i is less than 10", and the last part is saying what to do after the loop runs once -‐ increment i by 1. Under this would be the actual stuff you want to be doing in that loop. Assuming nothing in the rest of the code is manipulating i, it'll do this 10 times and then move on
@[email protected] posted a detailed explanation of what it’s doing, but just to chime in that it’s an extremely basic part of programming. Probably a first week of class if not first day of class thing that would be taught. I haven’t done anything that could be considered programming since 2002 and took my first class as an elective in high school in 2000 but still recognize it.
This reads as "assign an integer to the variable I and put a 0 in that spot. Do the following code, and once completed add 1 to I. Repeat until I reaches 10."
Int I = 0 initiates I, tells the compiler it's an integer (whole number) and assigns 0 to it all at once.
I ++ can be written a few ways, but they all say "add 1 to I"
I < 10 tells it to stop at 10
For tells it to loop, and starts a block which is what will actually be looping
Imagine you want something to repeat a certain number of times, or run while a certain variable is set to a specific number.
It starts by setting i = 0. Then it says “while i is less than 10, run.” Then it says “Every time you run, increment i by 1. So it sets i to 0, runs once, sets i to 1, runs again, sets i to 2, etc… And it does this until i is 10, at which point it will stop because i is no longer less than 10.
The actual code you want to run each time i is less than 10 would go below this function.
It’s a pretty basic way to tell a program “do this thing [x] times and then move on.” It’s like coding 101, which is why it’s funny that the person claimed they knew everything except for that part.
He should be promoted to management! Specifically head of cyber security! They also love security by obscurity and knowing nothing about what they are doing!