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I wonder whose code this was trained on? I guess it's interesting that this is quite a popular search result on Github: https://github.com/search?q=plane+spott

by b800h 3y ago

I wonder whose code this was trained on? I guess it's interesting that this is quite a popular search result on Github: https://github.com/search?q=plane+spotter+language%3AJavaScript&type=repositories&l=JavaScript https://github.com/search?q=plane+spotter+language%3AJavaScr...

nvarsj 3y ago
Exactly… likely copy pasted from someone’s github repo with 0 attribution. A brave new world…
- deleted 3y ago
  [deleted]
- louison11 3y ago
  OP here. I think it's a bit reductive to think that GPT simply copy pastes. It sometimes does. But my experience working with it nearly daily since December, is that it's also quite capable at reasoning. My sense is it most likely saw the API endpoint in another context, learned how it was parsed, and then adapted it to my situation. Perhaps it even parsed the documentation page itself.
  - nvarsj 3y ago
    Since attribution isn't possible in ChatGPT, we'll never know. It's a great way to avoid all IP claims via plausible deniability. This topic has been beaten to death though, and it isn't changing. Companies have little incentive to have explainable AI since it would open them to infringement claims.
  - 113 3y ago
    That is absolutely not how GPT works.
- joshspankit 3y ago
  If the code has been done hundreds or even thousands of times, what meaningful attribution could possibly be added? Like, we don’t add attribution to each for loop even though it’s not our original idea.
SushiHippie 3y ago
https://github.com/konstantintzt/planetracker/blob/9a1f407cb2fb8e55d40b5658a85992a581551d7f/backend/planes.js https://github.com/konstantintzt/planetracker/blob/9a1f407cb... At least this person does not fetch all planes and then iterate over all of them but sets boundaries in which area to get all the planes.
- tleb_ 3y ago
  Both the GitHub project you linked to and the webpage in the posted article use a bounding box; has the webpage changed in the last two hours?
  - louison11 3y ago
    No it hasn’t. ChatGPT from the get go used a bounding box. There is no way you could query all planes on Earth in one query on a free API
shmageggy 3y ago
Exactly. The only interesting thing here is that it managed to convince this person that "they built" anything. Also it seems there are tons of blogs about this exact task. I guess it's slightly interesting that there now exists a way to find example code snippets besides Google, but it's funny that the supposed insight here is that the important thing is implementation of novel ideas when that's exactly the opposite of what has been demonstrated
- version_five 3y ago
  Outside of any attribution issues, I think it's a cool capability to be able to get a concise how-to vs having to search for and read a blog. I've asked chatgpt for recipes, I know I could find them online and that neither I nor gpt are inventing anything, getting a concise reply is just the most convenient format.
  - Breza 3y ago
    I completely agree with you. LLMs are great at combining the content of multiple sources, which saves a lot of time. OP was able to say "OK, you've created the app, but I'd like it to use a more modern design." It's not that a dev can't do that with a few Google searches, but it certainly takes longer. Same thing with recipes, you can say, "Give me a recipe for gazpacho that replaces the tomatoes with something else for my friend who's allergic to nightshades."

by b800h 3y ago

nvarsj 3y ago

Exactly… likely copy pasted from someone’s github repo with 0 attribution. A brave new world…

deleted 3y ago
[deleted]
louison11 3y ago
OP here. I think it's a bit reductive to think that GPT simply copy pastes. It sometimes does. But my experience working with it nearly daily since December, is that it's also quite capable at reasoning. My sense is it most likely saw the API endpoint in another context, learned how it was parsed, and then adapted it to my situation. Perhaps it even parsed the documentation page itself.
- nvarsj 3y ago
  Since attribution isn't possible in ChatGPT, we'll never know. It's a great way to avoid all IP claims via plausible deniability. This topic has been beaten to death though, and it isn't changing. Companies have little incentive to have explainable AI since it would open them to infringement claims.
- 113 3y ago
  That is absolutely not how GPT works.
joshspankit 3y ago
If the code has been done hundreds or even thousands of times, what meaningful attribution could possibly be added? Like, we don’t add attribution to each for loop even though it’s not our original idea.

SushiHippie 3y ago

https://github.com/konstantintzt/planetracker/blob/9a1f407cb2fb8e55d40b5658a85992a581551d7f/backend/planes.js https://github.com/konstantintzt/planetracker/blob/9a1f407cb... At least this person does not fetch all planes and then iterate over all of them but sets boundaries in which area to get all the planes.

tleb_ 3y ago
Both the GitHub project you linked to and the webpage in the posted article use a bounding box; has the webpage changed in the last two hours?
- louison11 3y ago
  No it hasn’t. ChatGPT from the get go used a bounding box. There is no way you could query all planes on Earth in one query on a free API

shmageggy 3y ago

Exactly. The only interesting thing here is that it managed to convince this person that "they built" anything. Also it seems there are tons of blogs about this exact task. I guess it's slightly interesting that there now exists a way to find example code snippets besides Google, but it's funny that the supposed insight here is that the important thing is implementation of novel ideas when that's exactly the opposite of what has been demonstrated

version_five 3y ago
Outside of any attribution issues, I think it's a cool capability to be able to get a concise how-to vs having to search for and read a blog. I've asked chatgpt for recipes, I know I could find them online and that neither I nor gpt are inventing anything, getting a concise reply is just the most convenient format.
- Breza 3y ago
  I completely agree with you. LLMs are great at combining the content of multiple sources, which saves a lot of time. OP was able to say "OK, you've created the app, but I'd like it to use a more modern design." It's not that a dev can't do that with a few Google searches, but it certainly takes longer. Same thing with recipes, you can say, "Give me a recipe for gazpacho that replaces the tomatoes with something else for my friend who's allergic to nightshades."