The Xai lies on Grook 3 Benchmarks?

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Debacts above AI Benchmarks – and how are you signed by Abs – spread in public view.

This week, an opename employee accused ELON MUSK’S MUSK’S MAILY TAKE, TO PUBLING IN BENCHASK RESULTS FOR HERE PIECE AGO, GROOK 3. A BABUSBBING IGOR BABUSBBING, insist that the company was on the right.

The truth is found somewhere between.

In a Post on Xai BlogThe company has issued a graph showing Groking Grok 3 2025, a collection of math questions challenge by a recent mathematics examination of mathematics. Some experts have The validity of the self-quoted as a benchmark AI. I am However, AIME 2025 and older versions of the test are commonly used to survey a model capability of the model.

The chart of Xai demonstrated two variant 3, groof 3 reasoning Beta and Groot 3 mini reasoning the best professor available o3-mini-heighton the AIME 2025. Has employees to x are quick to the Xai graph of Xai has not included AIMI-High-High-High-High-High

What is consumption @ 64, you can ask? And well, it’s short to “consensus @ 64,” and become basically 64 templates to answer every problem in a benchmark and take the final answers. As you can imagine, COMPLETE @ 64 tends to the boent patterns of models, and the omentes it can make a methity that is in the reality, that is not random.

Grook 3 Reasoning Beta and Grok 3 Double For Aime For Aime 2025 to “@ 1” – The first punctuation has hit the score of the minimum. Grof 3 reasons blunt also the always-so-so-slightly behind the opening pattern o1 established in “medium” computation. However xai is Advertising groking 3 as the “you smarter of the world.”

Babuushkin Argue on x Let the Opena publish the AppleChmark Charts in the past – Albeit Charts who speak the performance of their models. A more neutral party in the debate puts a “accurate” graphics that shows almost any provision of the model in SS @ 64:

But as ai searches Nathan Lambert indicated in a placeMaybe the most important metric remains a mystery: the computational cost (and monetary) took for each model to get their best score. That only go to show how much the most benchmarks more you communicate on models limitations – and their forces.



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