rapiz

Can someone explain what are these models for? For a person who knows nothing about geo data, it looks like something that helps to process the data that satellites capture.

My personal experience using ChatGPT for commands I am not familiar with didn't end well. Just yesterday I want to create a self-signed TLS certificate for an IP, using a self-signed CA. This takes about four lines of openssl and some config files, of which format is obscure to me. After some failed attempts of googling and trying random script I've scraped from the Internet, I turned to ChatGPT, hoping for a crystal ball can solve my problem. After some rounds it did not produce a working script. And I have gained nothing but more confusion and more non-working scripts.

Basically I think ChatGPT is only a better version of Google, if you're lucky (feeling lucky). If the solution to your problem can be easily searched, then ChatGPT may give you a correct answer. But for less seen tasks it may not perform well. However, if the task itself is easy, I don't bother to ask ChatGPT. It may take rounds to catch your questions, and the generation is slow. So it feels very inefficient to use such a tool at this moment. Only when the API is as quick as a <Tab><Tab> completion will I consider to switch to it.

WAIT, there's no confirmation before executing a ChatGPT response? That's really crazy.

Can't wait for the part where AI controls all shells it can reach

Got this just now (2022-06-14T22:36:26+08:00)

Don't take me seriously: I heard people both saying Golang is a better C/Golang is a worse C

Yes. that's an option. I should also add comparison between rathole and `ssh -R`. One reason that people keep inventing this kind of software is that `ssh -R` is slow and lacks of customization. (I'm the author of rathole)

Thanks for that. I've played around a little bit.

> What is 123456789 - 123456789?

> 123456788

> What is 123456789 * 0?

> 123456789

Not even near.

It didn't surprise me that the model failed to handle cases above, which are unlikely to present in the data set.

How large is the data set they're training on? I suspect there are many math equations including these or similar numbers. As the result shows, the model is generally right about the first a few digits, but frequently wrong about the last digit. This may due to the fact that the data set can hardly cover the exact numbers in the questions, but it's likely to cover the first a few digits.

It's open source: https://github.com/subins2000/WebDrop

It has been around for quite a while. I thought anyone who tried to reverse engineer an APK had already known it.

> A lot of the products and services that were build using Blockchain could just have used a normal RDBMS.

That's how you dismiss the value and can't understand

That's what wechat is like in China and tech folks hate it.

And when you do have to configure the machine, there's no satisfying way to do it.

I was expecting that it really had something to do with the moon, though.

This looks amazing. But I doubt if it would work because the reality is always complicated. Anyway I will try it out.

Why link to your fork, which is only behind the upstream?