2026年2月26日のヘッドラインニュース
英伟达的当前困境：从“Token经济学”到“Agent经济学”的叙事危机英伟达的市值能在短短两三年时间里从3000亿美元飙升至3万亿美元，所依赖的核心叙事逻辑就是“Token经济学”：随着大模型参数爆炸式增长，推理成本将呈指数级上升，算力需求将永无止境。
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事件起因于今年除夕，消费者王女士在美团平台购买「大草原烤全羊南滨路钟楼店」1188 元套餐，并于 2 月 16 日到店挑选活羊。
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects: