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 2 years ago by [email protected] to c/[email protected]
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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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[–] [email protected] 215 points 2 years ago (51 children)

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
[–] [email protected] 154 points 2 years ago (4 children)
  1. It isn't and has never been a truth machine, and while it may have performed worse with the question "is 10777 prime" it may have performed better on "is 526713 prime"

ChatGPT generates responses that it believes would "look like" what a response "should look like" based on other things it has seen. People still very stubbornly refuse to accept that generating responses that "look appropriate" and "are right" are two completely different and unrelated things.

[–] [email protected] 1 points 2 years ago

That’s not necessarily true: https://arstechnica.com/google/2023/06/googles-bard-ai-can-now-write-and-execute-code-to-answer-a-question/. If the question gets interpreted correctly and it manages to write working code to answer it, it could correctly answer questions that it has never seen before.

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