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GPT-6 Astra评测：循环Transformer与隐藏推理的探讨
原标题：GPT-6 Astra, Looped Transformers, and Hidden Reasoning
AI 摘要
本文评论了OpenAI新发布的GPT-6 Astra模型，指出其在3D渲染和动画任务上表现突出，并在数学、编码等基准测试中领先，但智能指数提升有限。文章还探讨了循环Transformer架构与隐藏推理链的传闻，并建议用户更新AGENTS.md和SKILL.md文件以适应新模型。
以上摘要由 AI 生成，可能存在误差。事实请以原文为准。
正文节选
A lot has happened in the last few weeks. I am sure that OpenAI’s GPT-6 Astra is top of mind for everyone right now. In particular, thoughts on its performance, the looped transformer/recurrent depth aspects, and rumors that Astra is “hiding” its reasoning trace (i.e., chain of thought). So, in this article, I want to start with some brief impressions of Astra and some thoughts on where all this is headed. Then, I will discuss, in detail, what “looped transformers” are, and how (or rather, if) t
发布时间：2026-09-09 19:14
抓取时间：2026-09-09 19:31
来源机构：Sebastian Raschka