English(EN) Quoting Ted Sanders

OpenAI 解释模型命名惯例：规模驱动性能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 23:23

OpenAI 的工程师 Ted Sanders 解释了公司的模型命名惯例，指出性能是多维度的，并非严格按任务排序。他强调模型规模是性能的主要驱动因素，更大的模型通常能力更强、成本更高、记忆力更好。Sanders 还详细说明了版本号如何表示发布顺序、与其他模型的关系以及改进的幅度。 AI

影响提供了关于 AI 模型能力和命名惯例如何向公众传达的见解。

排序理由该条目是一篇引用个人解释公司惯例的博文，而非公司直接发布的消息。

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Simon Willison TIER_1 English(EN) · 2026-10-28 23:23

引用 Ted Sanders 的话

<blockquote cite="https://news.ycombinator.com/item?id=50248124#50249160"><p>In general, LLM performance is incredibly multidimensional. There's no guarantee of a fixed ordering where the model that is best at math is also the model that's best at jokes. Despite that complexity, …