[Abundant Resources Yet Unable to Detect on Their Own? Benchmark Partner Questions Anthropic's Push to Restrict Model Distillation] Odaily Planet Daily News: Benchmark partner Chetan Puttagunta expressed confusion on the X platform regarding Anthropic's public call for stricter regulation of AI model distillation. He noted that Anthropic is currently a company valued at approximately $1 trillion, with substantial technical and financial resources. Given the scale described, so-called 'large-scale distillation attacks' should theoretically be relatively easy to identify and track. If Anthropic chooses to restrict such activities, the real cost may not stem from a lack of technical capability but rather from forgoing a portion of API revenue. 'The only cost that seems to be incurred is a reduction in related API business revenue.' Previously, Anthropic and other AI companies have consistently focused on the issue of model distillation. Model distillation typically refers to using the output of a large model (teacher model) to train another model (student model) to reduce costs and improve efficiency. Some AI companies are concerned that competitors might make extensive API calls to obtain model outputs for training their own models, thereby bypassing the original R&D investment. Puttagunta's perspective suggests that the controversy surrounding model distillation in the AI industry fundamentally involves balancing commercial interests, open competition, and intellectual property protection. For leading AI companies, finding a balance between protecting core technologies and maintaining an open ecosystem will become a critical issue in future industry competition.