Can current AI understand PureBasic and....

[yoxola]

It might be a forbidden question, but recently I tested using Gemini3 to assist making programs, it seems understands the C++ syntax and can make a prototype app with prompts, oh and it does Python, too.

I don't know if it really understand the coding language, but it can generate some good enough results with proper prompt, so I'm wondering if it(insert your AI models) can really "learn" a programming language or is it just grabbed something from elsewhere.

And PureBasic syntax is relatively simple IMHO, if AI can undestand PB and coding some basic things itself, holiday coders like me would be useless anyway, I'm a bit afraid...

Well, I don't know when AI can go that far, but I think it's happening, at least AI will learn more and live longer in some degrees, and human life is so limited.

[jidelberger]

Hi, I'm not very familiar with Gemini, but with ChatGPT you can build an own GPT especially for PureBasic, using the PureBasic Documentation.

[idle]

Claude and codestral are trained on purebasic. Gemini appears to be but says it's not.
I find Gemini good for research, it's quite capable
And I find Claude better at producing working code but it usually insane slop.

[BarryG]

It's been discussed here before. ChatGPT is pretty good with PureBasic, in my experience. It knows what I'm asking and 9 out of 10 times it gives a correct working example. I'm not a PureBasic newbie, though, so I can tell when it's giving incorrect info and I tell it what's wrong so it remembers for next time.

[TI-994A]

Love it or hate it, it's here to stay. So, may as well get used to it.

It's ELIZA, forty years in the making.

But seriously, it's a machine, albeit with a plethora of ethical and real-world ramifications. Sentience may not be possible, but what is it, anyway?

Meanwhile, let's just enjoy the technology. So far, for me, it's been a programming partner, and the world's best search engine. And it's quite the muse as well. The ability for it dynamically pull data and answer questions or design code, for virtually any language, or even stimulate human conversations, also in almost any language, is nothing short of impressive.

Sure, it's not perfect, yet, but it really has that can-do attitude, even if it spews crap every now and then.

Let's just enjoy it!

[tft]

Ich benutze ChatGPT als Unterstützung. Aber ganze Projekte ist nicht so einfach.

[idle]

Ich benutze ChatGPT als Unterstützung. Aber ganze Projekte ist nicht so einfach.

Translation
I use ChatGPT for support. But entire projects aren't that easy to implement.

[Piero]

"AI understand PureBasic"


PS: Che mai potrebbero sapere di nuovo le intelligenze artificiali?
After all the training, they cannot translate if it isn't a tiktok video…
Not good…

[idle]

Claude is pretty good at generating purebasic.
I used it in the animated vector graphics code to do the filler from a complete example. What would have taken an hour took seconds to do.

[DeanH]

I've been using Claude for over a year. Although generally good, it has not yet generated 100% PB code for me. I frequently find functions that look as if they've come from other languages, particularly Python. But it is certainly better now than a year ago.

I mainly use it for research into specific things. Saves heaps of time and effort. It was a big help getting Postgres and MariaDB working in my complex school library management system. As an exercise, I asked Claude to build code to backup and restore a database from MariaDB that could be done from a workstation. Took over 20 retries until something worked. I then wrote my own version, which was about 10% the size and considerably faster. Have to say it is getting better.

[BarryG]

I looked at Claude but it wanted my phone number to sign up, so I didn't. ChatGPT is working well enough for me.

[miso]

I belive, that content generation is not really an ai feature. An untraind model generates nonsense, a trained ai generates outputs similar to the learning inputs, but deviates ( interpolates ) between them. A more trained NN will produce outputs more close to the original training data source with less deviation ( aka loses creativity ) This applies to image generation or code generation or text (literature) generation.