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Arena AI Model ELO History

mayerwin.github.io

41–50 of 63 posts

Re: Arena AI Model ELO History

#42
post #3

The Elo rating system measures relative performance to the other models. As the other models improve or rather newer better models enter the list, the Elo score of a given existing model will tend to decrease even though there might be no changes whatsoever to the model or its system prompt. You can't use Elo scores to measure decay of a models performance in absolute terms. For that you need a fixed harness running…

Is that strictly true? ELO rankings do also inflate over time (looking at you, Chess GMs)

Re: Arena AI Model ELO History

#43

Is this slop? It has wildly aggressive language that agrees with a subset of pop sentiment, re: models being “nerfed”. It promises to reveal this nerfing. Then, it goes on to…provide an innocuous mapping of LM Arena scores that always go up?

It links to the GitHub repo for the project, and while it’s not inconceivable that an AI bot would create and populate a functioning public GitHub repo, it’s pretty unlikely.

Re: Arena AI Model ELO History

#44
post #38
post #29

Earlier quoted context omitted.

No, that is not how ELO scores work.

As far as I understand, this is exactly how ELO scores work. If a more capable show up and starts beating all the other models, it literally takes ELO points from everyone else. https://en.wikipedia.org/wiki/Elo_rating_system

Depends on the test design; is an agent competing against other agent in a given match, or against a test? Plus! Does the test's ELO fluctuate?

Re: Arena AI Model ELO History

#45
post #29
post #2

> the slow performance decays the decays are just more capable other models entering the population, making all prior models lose more frequently

No, that is not how ELO scores work.

Yes, that is in fact how Elo can work[0]. There are quite many ways Elo systems can work.

[0]: https://en.wikipedia.org/wiki/Elo_rating_system

Re: Arena AI Model ELO History

#46
post #3

The Elo rating system measures relative performance to the other models. As the other models improve or rather newer better models enter the list, the Elo score of a given existing model will tend to decrease even though there might be no changes whatsoever to the model or its system prompt. You can't use Elo scores to measure decay of a models performance in absolute terms. For that you need a fixed harness running…

Is that strictly true? ELO rankings do also inflate over time (looking at you, Chess GMs)

Elo systems often include one or more ways new points can enter the system. The system used by the European Go Federation has three ways iirc: 1. Cannot go under 100, 2. Cannot lose more than 100 points in one tournament, 3. Weaker player beating a stronger one (which is countered by the stronger player beating the weaker one, but it's not balanced: if two people only play each other forever and ever, both of their Elos will grow).

Re: Arena AI Model ELO History

#48
post #11
post #9

Earlier quoted context omitted.

There's almost 0% chance that OpenAI doesn't quantize the model right off the bat. I am willing to bet large amounts of money that OpenAI would never release a model served as fully BF16 in the year of our lord 2026. That would be insane operationally. They're almost certainly doing QAT to FP4 for FFN, and a similar or slightly larger quant for attention tensors.

It's ok if they never release a BF16 model, but it's less ok if they release it, win the benchmarks, then quantise it after a few weeks.

that is for sure what everyone does. also they train on evals with the datasets that they would be bench against.

Re: Arena AI Model ELO History

#50
post #38
post #29

Earlier quoted context omitted.

No, that is not how ELO scores work.

As far as I understand, this is exactly how ELO scores work. If a more capable show up and starts beating all the other models, it literally takes ELO points from everyone else. https://en.wikipedia.org/wiki/Elo_rating_system

    If a more capable show up and starts
    beating all the other models
There is an instance of this in the chart. In 2025-06-24 when Gemini-2.5-pro shows up. As you can see, the ELO of the others do not drop.
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