this post was submitted on 20 Jul 2023
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Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds. Researchers found wild fluctuations—called drift—in the technology’s abi... (fortune.com)
submitted 1 year ago by L4s@lemmy.world to c/technology@lemmy.world
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Over just a few months, ChatGPT went from correctly answering a simple math problem 98% of the time to just 2%, study finds. Researchers found wild fluctuations—called drift—in the technology’s abi...::ChatGPT went from answering a simple math correctly 98% of the time to just 2%, over the course of a few months.

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[–] aquinteros@lemmy.world 12 points 1 year ago (2 children)

idk what you guys mean but GitHub copilot still works absolutely well, the suggestions are fast and precise, with little Tweeks here and there... and gpt4 with code interpreter are absolute game changers ... idk about basic chatgpt 3.5 turbo though

[–] danwardvs@sh.itjust.works 8 points 1 year ago (1 children)

Github Copilot is a bit different, it’s powered by OpenAI Codex which is trained on all public repos. And yes, it’s quite effective!

[–] mb_@lemmy.world 4 points 1 year ago (1 children)

Public GPL or public MIT? So there's a chance of you adding GPL code to your private repository and having a very messy licensing?

[–] danwardvs@sh.itjust.works 2 points 1 year ago (1 children)

My understanding is that it’s all publicly viewable code on Github regardless of licence. The legality of the training data and usage is hotly debated. Although you can get it to generate entire code blocks, my use and where I find it effective is finishing lines of code based on context of what I’m writing, so it’s “filling in the blanks” around my code so to say.

[–] mb_@lemmy.world 2 points 1 year ago

It is not because tone can see that one can use it.

Open source does not mean "free to repurpose"