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How is ChatGPT's behavior changing over time?

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Re: How is ChatGPT's behavior changing over time?

#61
post #59
post #58

Earlier quoted context omitted.

Source? They’ve only denied the API model changing. Not the website.

https://twitter.com/npew/status/1679538687854661637?t=3CLXlT...

(Tweet contents)

> No, we haven't made GPT-4 dumber. Quite the opposite: we make each new version smarter than the previous one. > Current hypothesis: When you use it more heavily, you start noticing issues you didn't see before.

I don’t see how it supports your argument. Your comment says “they deny making changes to GPT-4”, and the tweet says “we are making incremental improvements to GPT-4”.

Re: How is ChatGPT's behavior changing over time?

#62
With those GPT4 architecture infos leaked a few weeks ago, my personal theory is that they use mixture-of-experts routing for scaling the system. For instance, they could say: from 0 to 50% system load use a mixture of top-6 models for inference, from 60 to 80% use top-4 models, above 80% use top-2 models. This could make ChatGPT look dumber or smarter depending on the time of the day and system usage. Naturally, the variance of inference quality would spread and people would experience regressions in quality with some probability.

They could also use these parameters over time to become more cost efficient, in general, or reserve GPUs (i.e. allocating more expert networks) for some higher-margin use-cases.

Re: How is ChatGPT's behavior changing over time?

#64
And even the lecturers acquiesced when they found that a lecture on the sea was none the less stimulating when compiled out of other lectures that had already been delivered on the same subject. “Beware of first-hand ideas!” exclaimed one of the most advanced of them. “First-hand ideas do not really exist. They are but the physical impressions produced by love and fear, and on this gross foundation who could erect a philosophy? Let your ideas be second-hand, and if possible tenth-hand, for then they will be far removed from that disturbing element — direct observation. Do not learn anything about this subject of mine — the French Revolution. Learn instead what I think that Enicharmon thought Urizen thought Gutch thought Ho-Yung thought Chi-Bo-Sing thought Lafcadio Hearn thought Carlyle thought Mirabeau said about the French Revolution. Through the medium of these ten great minds, the blood that was shed at Paris and the windows that were broken at Versailles will be clarified to an idea which you may employ most profitably in your daily lives. But be sure that the intermediates are many and varied, for in history one authority exists to counteract another. Urizen must counteract the scepticism of Ho-Yung and Enicharmon, I must myself counteract the impetuosity of Gutch. You who listen to me are in a better position to judge about the French Revolution than I am. Your descendants will be even in a better position than you, for they will learn what you think I think, and yet another intermediate will be added to the chain. And in time” — his voice rose — “there will come a generation that had got beyond facts, beyond impressions, a generation absolutely colourless, a generation ‘seraphically free From taint of personality,’ which will see the French Revolution not as it happened, nor as they would like it to have happened, but as it would have happened, had it taken place in the days of the Machine.”

E M Forster, "The Machine Stops", 1909

Re: How is ChatGPT's behavior changing over time?

#65

With those GPT4 architecture infos leaked a few weeks ago, my personal theory is that they use mixture-of-experts routing for scaling the system. For instance, they could say: from 0 to 50% system load use a mixture of top-6 models for inference, from 60 to 80% use top-4 models, above 80% use top-2 models. This could make ChatGPT look dumber or smarter depending on the time of the day and system usage. Naturally, the…

They could even persist the inference parameterization, e.g. "use top-8 for 'compute the sum of 42 and 17'", for every prompt ever seen and reuse it later to prevent people doing "poor man's regression testing" and make the model look more stable.

Re: How is ChatGPT's behavior changing over time?

#66
post #28

I think we should stop trying to quiz LLMs on mathematics, something for which they are explicitly not designed to do with their tokenized view of the world. Ask GPT-4 to use its Wolfram plugin and it returns the answers quickly and correctly. Second, I think the code generation bit of this paper is blown out of proportion. The code can't be immediately injected into a codebase due to a formatting change (triple quot…

I think knowing if the code can be used verbatim is actually the more important part practically speaking. That is the actually useful part. Quality is important to humans, because humans have to read it, but correctness is what people using ChatGPT for code actually need. So long as the quality and performance is good enough, then it will be useful. Performance is such a nuanced topic that you need very context awar…

> never going to have that kind of awareness

Be careful with that goalpost, it might make sudden movements.

Re: How is ChatGPT's behavior changing over time?

#67

A little surprised this sort of thing passes for a publish-able paper. Isn't it the equivalent to saying "Here's the top 10 results for google searching golden retrievers March 2023, and here's the top 10 results from June 2023. We see that google is returning even cuter animals today. Unfortunately though, one of the results linked to a page full of cats." I'm sure openai has a list of standard questions that it tra…

If it's not deterministic, it's not going to be useful in professional settings!

Example: you get a bunch of data from your boss, need to find something out, you prompt engineer the results. Your boss get's back to you (five weeks later), likes the result, just want's you to fix a minor thing. It's now giving you completely different results. It's like building on sand.

Re: How is ChatGPT's behavior changing over time?

#68
post #61
post #59

Earlier quoted context omitted.

https://twitter.com/npew/status/1679538687854661637?t=3CLXlT...

(Tweet contents) > No, we haven't made GPT-4 dumber. Quite the opposite: we make each new version smarter than the previous one. > Current hypothesis: When you use it more heavily, you start noticing issues you didn't see before. I don’t see how it supports your argument. Your comment says “they deny making changes to GPT-4”, and the tweet says “we are making incremental improvements to GPT-4”.

It's important to read company marketing statements as if you were a lawyer. We haven't made GPT-4 dumber != We haven't made ChatGPT(4) dumber.

Personal hypothesis is that they have made a few changes to ChatGPT recently - possibly quantization, and almost certainly some tweaks to make it give shorter/less detailed answers.

But by the nature of a probibalistic tool being run by a secretive company, it's hard to say for sure. Maybe I and everyone else complaining have just started to get unlucky answers.

Re: How is ChatGPT's behavior changing over time?

#69
Since the system appears to be dynamic to certain extent (beyond training) this will be a permanent problem. The feedback that large/public GPT systems are given and retrained upon will cause ups and downs, depending on the mood of the society. But I believe this entanglement of people dependent on LLMs and vice versa will go pear shaped until full Idiocracy scenario is reached. As George Carlin supposedly said "never underestimate the power of stupid people in large groups".

Re: How is ChatGPT's behavior changing over time?

#70
Just yesterday I gave ChatGPT a summarization task and it performed horribly. I even tried multiple times and got the identical answer. Then I gave the identical prompt to gpt-3.5-turbo via the API and I immediately got the expected good answer.
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