Author discontinues LLM benchmark after testing over 300 models

The author details the process of creating and ultimately discontinuing a benchmark for over 300 large language models. Initially intended to track model performance on real-world coding tasks, the benchmark became obsolete due to the rapid pace of model releases, with new models consistently achieving high scores and low costs. The author realized the benchmark was no longer useful when they noticed a lack of user engagement and continued testing models for their own purposes without documenting them. AI

IMPACT Highlights the rapid obsolescence of LLM benchmarks due to fast-paced model development.

RANK_REASON Author's personal reflection on creating and discontinuing an LLM benchmark.

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