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Suppose a company has a limited amount of compute. What do they then do if peak demand exceeds what they can provide? They don't turn off people's access...

And what about A/B testing? Anthropic doesn't even try to hide that they do this. Limited compute and A/B testing alone, would guarantee a nerfed experience some of the time. That is, you don't even need a nefarious reason.

I consider it gas lighting to deny model nerfing.

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> They don't turn off people's access

They do. I often get the message "This model is currently experiencing high demand, please try again later"

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> They don't turn off people's access...

They do drop requests though? At peak times I sometimes have 1-2 requests fail with Opus; no biggie, the harness just retries it. But that, in aggregate, sheds load.

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You serve the requests more slowly. Same as if your bank has a sudden rush of customers - the tellers serve them in order, and the customers wait longer. Some of the customers 'time out' (get frustrated and leave).
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> You serve the requests more slowly.

Thats not what Openai and Anthropic do though

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Really? I have noticed times where the model simply doesn't start 'spending' tokens for a considerable period, using their official harnesses.
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I guess there's an alternate universe where that happens
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I must have found a wormhole into this universe and fallen through without realizing, because I've used Claude Code and gotten "This model is currently experiencing high demand, please try again later" as an error message.
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I'm not denying model nerfing. I'm asserting an opinion about the nature of the nerfing.

If you want to go accuse someone of denying model nerfing, go find someone doing it and argue with them.

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Na, surely effort level is silently degraded. Dead easy to do, impossible for anyone to verify, and very fine-grained so can be balanced perfectly with available compute.

Edit: maybe not impossible. Side channels perhaps.

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Exactly. How much higher is "very high" that "high"? Is it constant across weeks? Who knows!
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It's been the same for every version the last year.

Oh, this Opus X.Y is incredible. Hmm... Now it's dumb. Rinse, repeat.

Doesn't really matter if the cause is quantization, system prompt changes, changes to thinking etc.

It's hard to see how continuously rug pulling users at every release is a good idea. Only reason I can fathom is that it's needed to keep costs inline.

Either that or it's some weird tweaking to the prompts to fix whatever. But given the prevalent sentiment that it's worse that sounds like a long shot

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I presume it just makes the new version look way better? So instead of a more or less straight quality line it looks like a sawtooth
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The Apple software update strategy.
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Kind of sad but if it works, it works! Bit conspiranoic, but i have a feeling nearly all phone vendors do something similar...
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it's easy to suspect the hosting companies trying to do what they can to reduce cost-to-host up until the very threshold of perceptibility, so it's an easy guess to say they're probably doing something that shifts performance up or down between version releases..

but realistically I think you're right, it's prompt quality and the inherent non-determinism elements of LLMs showing up; when both of those things meet you get brain dead outputs.

Everyone likes to shout "slot machines! non-determinism!" until it actually explains something, heh.

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