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submitted 1 year ago by L4s@lemmy.world to c/technology@lemmy.world

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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[-] DominicHillsun@lemmy.world 214 points 1 year ago

It seems rather suspicious how much ChatGPT has deteorated. Like with all software, they can roll back the previous, better versions of it, right? Here is my list of what I personally think is happening:

  1. They are doing it on purpose to maximise profits from upcoming releases of ChatGPT.
  2. They realized that the required computational power is too immense and trying to make it more efficient at the cost of being accurate.
  3. They got actually scared of it's capabilities and decided to backtrack in order to make proper evaluations of the impact it can make.
  4. All of the above
[-] Wooly@lemmy.world 14 points 1 year ago

And they're being limited on data to train GPT.

[-] DominicHillsun@lemmy.world 20 points 1 year ago

Yeah, but the trained model is already there, you need additional data for further training and newer versions. OpenAI even makes a point that ChatGPT doesn't have direct access to the internet for information and has been trained on data available up until 2021

[-] Rozz@lemmy.sdf.org 5 points 1 year ago

And it's not like there is a limit of simple math problems that it can train on even if it wasn't already trained.

[-] fidodo@lemmy.world 5 points 1 year ago

That doesn't make any sense to explain degradation. It would explain a stall but not a back track.

[-] WalkableProgrammer@lemmy.world 3 points 1 year ago

Honestly I think the training data is just getting worse too

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this post was submitted on 20 Jul 2023
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