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It’s pretty true, someone today on here wrote, “teach it to understand swagger”, I actually laughed, like I’ve used swagger and it often turns into a Frankenst

It’s pretty true, someone today on here wrote, “teach it to understand swagger”, I actually laughed, like I’ve used swagger and it often turns into a Frankenstein, and sometimes for good reason. I completely understand the sentiment and I like swagger. I believe the world is wiggly, not geometrically perfect, intellectuals struggle with that because square problems are easier to solve. Ideal scenarios are predictable and it’s what we like to think about. Have you ever had to use a sleep() intentionally just to get something shipped ? That’s a wiggle. We’re going to try square out the world so we can use ChatGPT to solve wiggly problems. It’s going to be interesting. Yesterday I tried to use a SaaS product and due to some obscurity my account has issues and the API wouldn’t work, they have a well specified API but it still didn’t work out, I’ve been working with the support team to resolve it, but this is what I call a wiggle, they seem to exist everywhere. Ask a construction worker about them.

matwood 4y ago
> Ask a construction worker about them. Hah. So true. The more I work on renovating parts of my house the more I see where a workers experience kicked in the finagle something. Very analogous to programming. All the parts that fit together perfectly are already easy today. It’s those bits that aren’t square, but also need to fit where the ‘art’ comes in. Can AI also do that part? IDK, currently I believe it will simply help us do the art part much like the computer in Star Trek.
- ChatGTP 4y ago
  I’m positive about it, there is a lot of repetition in coding and it’s rare we get to spend the time on the good bits because of it. If we need a semi-intelligent system to help us with the copy pasta, so be it.
kybernetikos 4y ago
Actually chat gpt is quite good at understanding some kinds of wiggliness. I built a restful api and documented it in a readme.md file in the wiggliest of ways. I then asked chatgpt to turn the readme into a swagger spec and then give me a page that read the spec and gave me a nice doc page with api exercise tool. Both tasks it performed really well and saved me a whole bunch of time.
- pcthrowaway 4y ago
  I have some meticulous API docs I've written, which I tried to get ChatGPT to convert into swagger It failed spectacularly I wonder if it's because the API is quite large, and I had to paste in ~10 messages worth of API docs before I was finished. It kept repeating segments of the same routes/paths and wasn't able to provide anything cohesive or useful to me. Was your API pretty small? Or were your docs pretty concise?
  - kybernetikos 4y ago
    Chatgpt has a token limit. If you exceeded it then it would have no way of delivering a good result because it would simply have dirtied what you said at first. My api was not huge, about 8 endpoints.
  - ilaksh 4y ago
    It can accept about 4k tokens, maybe 3000 words or 3500. GPT-4 can now accept 8k or 32k. The 32k version is 8 times larger than the one you tried. And these advances have come in a matter of a few months. Over the next several years we should expect at least one, quite easily two or more orders of magnitude improvements. I don't believe that this stuff can necessarily get a million times smarter. But 10 times? 100? In a few months the memory increased by a factor of 8. Pretty quickly we are going to get to the point where we have to question the wisdom of every advanced primate having a platoon of supergeniuses at their disposal. Probably as soon as the hardware scales out, or we get large scale memristor systems or whatever the next thing is which will be 1000 times more performant and efficient. Without exaggeration. Within about 10 years.
    - ChatGTP 4y ago
      So people want to build a nuclear reactor on the moon, I think these things should probably live on the moon or better yet Mars. That should be the place for experiments like this. Lowery latency links back to Earth and first see how it goes. Also you don’t think there will be resource constraints at some stage ? It’s funny we yelled at people for Bitcoin but when it’s ChstGPT, it’s fine to run probably tens of thousands of GPUs? In the middle of a climate crisis ? Not good.
asddubs 4y ago
>Have you ever had to use a sleep() intentionally just to get something shipped ? no, I'm not that deep in hell

matwood 4y ago

> Ask a construction worker about them. Hah. So true. The more I work on renovating parts of my house the more I see where a workers experience kicked in the finagle something. Very analogous to programming. All the parts that fit together perfectly are already easy today. It’s those bits that aren’t square, but also need to fit where the ‘art’ comes in. Can AI also do that part? IDK, currently I believe it will simply help us do the art part much like the computer in Star Trek.

ChatGTP 4y ago
I’m positive about it, there is a lot of repetition in coding and it’s rare we get to spend the time on the good bits because of it. If we need a semi-intelligent system to help us with the copy pasta, so be it.

kybernetikos 4y ago

Actually chat gpt is quite good at understanding some kinds of wiggliness. I built a restful api and documented it in a readme.md file in the wiggliest of ways. I then asked chatgpt to turn the readme into a swagger spec and then give me a page that read the spec and gave me a nice doc page with api exercise tool. Both tasks it performed really well and saved me a whole bunch of time.

pcthrowaway 4y ago
I have some meticulous API docs I've written, which I tried to get ChatGPT to convert into swagger It failed spectacularly I wonder if it's because the API is quite large, and I had to paste in ~10 messages worth of API docs before I was finished. It kept repeating segments of the same routes/paths and wasn't able to provide anything cohesive or useful to me. Was your API pretty small? Or were your docs pretty concise?
- kybernetikos 4y ago
  Chatgpt has a token limit. If you exceeded it then it would have no way of delivering a good result because it would simply have dirtied what you said at first. My api was not huge, about 8 endpoints.
- ilaksh 4y ago
  It can accept about 4k tokens, maybe 3000 words or 3500. GPT-4 can now accept 8k or 32k. The 32k version is 8 times larger than the one you tried. And these advances have come in a matter of a few months. Over the next several years we should expect at least one, quite easily two or more orders of magnitude improvements. I don't believe that this stuff can necessarily get a million times smarter. But 10 times? 100? In a few months the memory increased by a factor of 8. Pretty quickly we are going to get to the point where we have to question the wisdom of every advanced primate having a platoon of supergeniuses at their disposal. Probably as soon as the hardware scales out, or we get large scale memristor systems or whatever the next thing is which will be 1000 times more performant and efficient. Without exaggeration. Within about 10 years.
  - ChatGTP 4y ago
    So people want to build a nuclear reactor on the moon, I think these things should probably live on the moon or better yet Mars. That should be the place for experiments like this. Lowery latency links back to Earth and first see how it goes. Also you don’t think there will be resource constraints at some stage ? It’s funny we yelled at people for Bitcoin but when it’s ChstGPT, it’s fine to run probably tens of thousands of GPUs? In the middle of a climate crisis ? Not good.

asddubs 4y ago

>Have you ever had to use a sleep() intentionally just to get something shipped ? no, I'm not that deep in hell