[afturner]

I am beyond astounded. I was able to run a Docker image, utilize the fs inside of the container, and exit the container. Docker system commands work as expected (`docker ps` shows no containers, `docker ps -a` shows the exited container)

A few little things are weird (I can exec into a stopped container for example) but I was able to start another container and persist files.

Wild. This is unbelievable. Can anyone please explain to me why this isn't as wildly groundbreaking as this seems?

[zerocrates]

What I struggle with in terms of how impressive to find something like this is: there's an awful lot of "here's the command" "and here's the output" examples and explanations for all this stuff out there, in man pages, in tutorials, in bug reports, in Stack Overflow questions and answers, that presumably went into the training data.

Obviously what's happening is much more complex, and impressive, than just spitting back the exact things it's seen, as it can include the specific context of the previous prompts in its responses, among other things, but I don't know that it's necessarily different in kind than the stuff people ask it to do in terms of "write X in the style of Y."

None of this is to say it's not impressive. I particularly have been struck by the amount of "instruction following" the model does, something exercised a lot by the prompts people are using in this thread and the article. I know OpenAI had an article out earlier this year about their efforts and results at that time specifically around training the models to follow instructions.

[thepasswordis]

>Can anyone please explain to me why this isn't as wildly groundbreaking as this seems?

It is and people haven't realize it yet.

[drivers99]

I've been playing with it since yesterday. I was able to ask it for output that literally had my crying with laughter (e.g. "Write a country song about Sansa Stark and Littlefinger" or "Write a sad song about McNuggets"). That scared me for a minute because it's giving me what I want, mentally anyway, beyond anything else I've seen recently. I'd be worried it's addictive. But it seems like it has an ability to enhance my own mind as well, because I can ask it things about what I'm thinking about, and it generates a certain amount of seemingly generic ideas but I can expand on it or get more specific. I can take the ideas I want from it into my actual life. I've come up with several insights, realized certain ways of thinking I've been stuck in, and even based on its examples realized things about generating creative ideas for myself. Maybe I'm over-reacting but it's really something new. I haven't cared that much about AI but now that I have access to it it's another matter. In comparison, I also played around with DALL-E just now but that's not really achieving anything special for me like that.

[isp]

Without exaggeration, it is the most impressive tech demo that I have ever seen.

It is literally years - possibly decades - ahead of my prior expectations.

[XCSme]

But isn't it just predicting text patterns? It doesn't really know about Docker, just that after running commands X,Y you usually get output Z (of course with the stateful AI magic to make things more stable/consistent).

[Aeolun]

> Can anyone please explain to me why this isn't as wildly groundbreaking as this seems?

It’s really hard to utilize if the results aren’t consistent.

[moffkalast]

Well humans are inconsistent and we seem to be utilized reasonably well.

[plutonorm]

All i can say is i told you so. Over and over and over again. But no one listened - worse I was actively mocked. These language models will be GAI and indeed to a larger and larger extent already are.

[TaupeRanger]

I mean it's fun. But what are you going to do with it besides have some fun?

[nomel]

You can easily ask ChatGPT for some ideas. Its imagination is better than some humans!