Why Public LLM Snapshots Mislead: The Gemini 2.0 Flash and Vectara HHEM Case

https://stateofseo.com/what-do-strategic-teams-lose-when-they-treat-ai-as-a-single-answer-tool/

When published scores stop matching reality: a concrete problem Many teams rely on vendor snapshots and third-party score tables to choose models. That worked in the internet age for CPU benchmarks, but not for large language models