Anthropic Mythos 模型訓練計算量大幅減少，Coxon 稱
anthropic 的 mythos 模型可以用原來的一小部分計算量進行再訓練，前研究人員 jacob coxon 稱，這表明演算法效率正在加速提高。
jacob coxon, former researcher at anthropic and openai, claims that anthropic's mythos model can be retrained with a fraction of the compute originally needed. he cites a slide from anthropic's ipo roadshow, which shows a steep climb in pre-training compute multiplier over time. coxon argues that this indicates accelerating algorithmic efficiency, with improvements 'on the verge of being automated'. he also suggests that this trend could lead to commoditized human-level intelligence if frontier model development is paused.