4 ms·
The problem is that we know in advance what is the benchmark, so Humanity's Last Exam for example, it's way easier to optimize your model when you have seen the
by rvnx 1y ago
The problem is that we know in advance what is the benchmark, so Humanity's Last Exam for example, it's way easier to optimize your model when you have seen the questions before.
- stego-tech 1y agoThis. A lot of boosters point to benchmarks as justification of their claims, but any gamer who spent time in the benchmark trenches will know full well that vendors game known tests for better scores, and that said scores aren’t necessarily indicative of superior performance. There’s not a doubt in my mind that AI companies are doing the same.
- Feuilles_Mortes 1y agoshouldn't we expect that all of the companies are doing this optimization, though? so, back to level playing field.
- eldenring 1y agoIts the other way around too, HLE questions were selected adversarially to reduce the scores. I'd guess even if the questions were never released, and new training data was introduced, the scores would improve.
- pinko 1y agoFrom https://lastexam.ai/ https://lastexam.ai/: "The dataset consists of 2,500 challenging questions across over a hundred subjects. We publicly release these questions, while maintaining a private test set of held out questions to assess model overfitting." [emphasis mine] While the private questions don't seem to be included in the performance results, HLE will presumably flag any LLM that appears to have gamed its scores based on the differential performance on the private questions. Since they haven't yet, I think the scores are relatively trustworthy.
- panarky 1y agoThe jump in ARC-AGI and MathArena suggests Google has solved the data scarcity problem for reasoning, maybe with synthetic data self-play?? This was the primary bottleneck preventing models from tackling novel scientific problems they haven't seen before. If Gemini 3 Pro has transcended "reading the internet" (knowledge saturation), and made huge progress in "thinking about the internet" (reasoning scaling), then this is a really big deal.
- rvnx 1y agoSeems difficult to believe, considering the number of people who prepare this dataset, who also work(ed) or hold shares in Google or OpenAI, etc.
- menaerus 1y agoSo everybody is cheating in your mind? We can't trust anything? How about taking a more balanced take: there's certainly some progress, and while the benchmark results most likely don't represent the world reality, the progress is continuous.
- largbae 1y agoHow do they hold back questions in practice though? These are hosted models. To ask the question is to reveal it to the model team.
- Bombthecat 1y agoThey pinky swear not to store and use the prompts and data lol
- UltraSane 1y agoA legally binding pinky swear LOL
- riku_iki 1y agowith fineprint somewhere on page #67, that there are exceptions.
- ashdksnndck 1y agoWho needs fine print when there is an SRE with access to the servers who is friends with a research director who gets paid more if the score goes up?
- UltraSane 1y agoYou have to trust that the LLM provider isn't copying the questions when Humanities Last Exam runs the test.
- mapt 1y agoThere are only eleventy trillion dollars shifting around based on the results, so nobody has any reason to lie.
- lubujackson 1y agoI don't think any of these companies are that reductive and short-sighted to try to game the system. However, Goodhart's Law comes into play. I am sure they have their own metrics that arr much more detailed than these benchmarks, but the fact remains LLMs will be tuned according to elements that are deterministically measurable.
- nakamoto_damacy 1y agonot possible on ARC-AGI, AFAIK