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虽然是YouMind seed user 和 pro user，但是坦率说这周之前我还是浅浅用。
直到这周，我把官方近期默认 Agent 模型修改功能调整为“Claude Opus 4.6”，感觉自己突然会用和爱用 YouMind了。
只是照这个用法一天能用出1个月积分。
好在 @玉伯 贴心地又新增了多种积分档位升级方案👀 拿捏住了。
直到这周，我把官方近期默认 Agent 模型修改功能调整为“Claude Opus 4.6”，感觉自己突然会用和爱用 YouMind了。
只是照这个用法一天能用出1个月积分。
好在 @玉伯 贴心地又新增了多种积分档位升级方案👀 拿捏住了。
4 00
Seed2来了，一句话概括是：围绕大规模生产环境下的使用需求做了系统性优化，旨在帮助突破真实世界中的复杂任务。我对公司现在的模型表现还是有点信心，不过，很多说法和指标不能只看官方博客内容，要结合model card一起看👀 比如，长上下文。
1 00
在高铁上刷NeurIPS paper，很多都很有意思，陆续推荐。
比如，AI for Science 需要在回答问题之前提出问题，需要在确定性之下寻找惊喜。
推荐一篇论文 Agarwal, Dhruv, Bodhisattwa Prasad Majumder, Reece Adamson, et al. "AutoDiscovery: Open-Ended Scientific Discovery via Bayesian Surprise." arXiv:2507.00310. Preprint, arXiv, February 12, 2026.
> The promise of autonomous scientific discovery (ASD) hinges not only on answering questions, but also on knowing which questions to ask.
> A key challenge, then, is that of search—which hypotheses should be investigated next that will lead to novel, impactful scientific discoveries?
> In this work, we address these questions and propose AUTODISCOVERY—a method for open-ended ASD that is guided by Bayesian surprise, which quantifies how data affects a natural or artificial observer by measuring the distance between its posterior and prior belief distributions
比如，AI for Science 需要在回答问题之前提出问题，需要在确定性之下寻找惊喜。
推荐一篇论文 Agarwal, Dhruv, Bodhisattwa Prasad Majumder, Reece Adamson, et al. "AutoDiscovery: Open-Ended Scientific Discovery via Bayesian Surprise." arXiv:2507.00310. Preprint, arXiv, February 12, 2026.
> The promise of autonomous scientific discovery (ASD) hinges not only on answering questions, but also on knowing which questions to ask.
> A key challenge, then, is that of search—which hypotheses should be investigated next that will lead to novel, impactful scientific discoveries?
> In this work, we address these questions and propose AUTODISCOVERY—a method for open-ended ASD that is guided by Bayesian surprise, which quantifies how data affects a natural or artificial observer by measuring the distance between its posterior and prior belief distributions
1 00
似乎有点想明白现在看到纯AI自媒体发的内容习惯性下意识划走的原因了。
人的认知和习惯都有很强的局限性，KOL们用AI能想到做的也就是自媒体那点事情。比如：读到好文章，一句话重写配图发布到网站X公众号。
那我还是想当一个提供好文章的人🤔，不喜欢让AI重写。
人的认知和习惯都有很强的局限性，KOL们用AI能想到做的也就是自媒体那点事情。比如：读到好文章，一句话重写配图发布到网站X公众号。
那我还是想当一个提供好文章的人🤔，不喜欢让AI重写。
1 00