For fun: https://chatgpt.com/s/t_694361c12cec819185e9850d0cf0c629
1. What is the purpose of the benchmark?
2. What is the purpose of publicly discussing a benchmark's results but keeping the methodology secret?
To me it's in the same spirit as claiming to have defeated alpha zero but refusing to share the game.
2. I discussed that up-thread, but https://github.com/microsoft/private-benchmarking and https://arxiv.org/abs/2403.00393 discuss some further motivation for this if you are interested.
> To me it's in the same spirit as claiming to have defeated alpha zero but refusing to share the game.
This is an odd way of looking at it. There is no "winning" at benchmarks, it's simply that it is a better and more repeatable evaluation than the old "vibe test" that people did in 2024.
I don't understand the value of a public post discussing their results beyond maybe entertainment. We have to trust you implicitly and have no way to validate your claims.
> There is no "winning" at benchmarks, it's simply that it is a better and more repeatable evaluation than the old "vibe test" that people did in 2024.
Then you must not be working in an environment where a better benchmark yields a competitive advantage.
In principle, we have ways: if nl's reports consistently predict how public benchmarks will turn out later, they can build up a reputation. Of course, that requires that we follow nl around for a while.
> A secret benchmark is: Useful for internal model selection
That's what I'm doing.
The root of this whole discussion was a post about how Gemini 3 outperformed other models on some presumably informal question benchmark (a"vibe test"?). When asked for the benchmark, the response from the op and and someone else was that secrecy was needed to protect the benchmark from contamination. I'm skeptical of the need in the op's cases and I'm skeptical of the effectiveness of the secrecy in general. In a case where secrecy has actual value, why even discuss the benchmark publicly at all?