A recent study titled "The Leaderboard Illusion" has raised concerns about potential bias in LM Arena's AI leaderboard, a prominent benchmarking platform for chatbot models. The research indicates that private testing practices allow a small number of large technology companies, including Meta, Google, and OpenAI, to gain advantages by testing multiple model variants before public release and retracting lower scores. This selective reporting results in distorted rankings that favor these providers. The study calls for increased transparency, recommending that all test results remain public without deletion of low scores, and suggests limiting the number of models submitted to ensure fairer evaluation. These findings highlight growing scrutiny over the fairness and trustworthiness of AI benchmarking processes within the industry.