Why most AI benchmarks tell us so little

* **Anthropic and Inflection AI** release competitive generative models.
* Current benchmarks **fail to reflect the real-world use** of AI models.
* **GPQA** and **HellaSwag** were criticized for their lack of real-world applicability.
* **Evaluation crises** in the industry due to outdated benchmarks.
* MMLU's relevance was questioned due to the **potential for rote memorization**.

Read more:

[https://techcrunch.com/2024/03/07/heres-why-most-ai-benchmarks-tell-us-so-little/](https://techcrunch.com/2024/03/07/heres-why-most-ai-benchmarks-tell-us-so-little/)

ai benchmarks ai models anthropic artificial benchmarks current evaluation generative generative models industry inflection inflection ai mmlu release world