Alex Volkov: commitment

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…cases, I mean, so like, now that we know the libraries that it has it's almost obvious what it can do, right? Like, so you just kind of go through the libraries and like think about what each library does which is kind of something I was doing last night using, I was trying to use chatty PC to annotate itself and just kind of enumerate its capabilities. So like, yeah you can run open cv, I think. And then it also does ocr and, and there's, there's just a whole bunch of libraries in there. I will say this one thing, Sean Luke, sorry. The Oh, whether report, oh, he destroy. Hey. So I just like in, in this morning I tried a lot of stuff with image recognition. So for example, I used open CVS spray train models to actually classify, I mean, I s t digits. So it could very well do that. And then I used HA Cascade from Open, open cv. It had like all those spray train models, so it could even like detect phases and do a lot of image processing stuff like detect detecting cans, which we do in stable diffusion. I mean, it's just straight up, just runs stable diffusion. Right? I, so one thing is actually notably missing is hugging face transformers and hugging face diffusers. Just, just, no, no. I mean, it uses open TV under the hood and I have, like with this code interpreter, I have like one intuition that it can even act as a de fellow debugger, like in your software company. So for example, like you, you, you ask people to reproduce your issues. So for example, you are facing an error. You can paste a snippet and give the context of the error and then it, and ask it to reproduce the issues. Since it's like agent it, it, it is not like a single GPT4 call. So it might even like reproduce the issues and then probably tell you the steps to correct it. This is what my intuition is, but I have yet to try that. Got…

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