发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 2 | 17 |
| 带媒体 | 0% | 11.8% |
| 回复 | 0% | 0% |
| 平均字数 | 149 | 153 |
| 中位浏览 | 6.3万 | 1,010 |
打法建议
只陈述相关性- 互动最好的时段是 05:00 前后（北京时间），中位浏览 1,010。
- 一周里 周四 的中位浏览最高。
- 形式上 带图/视频 的中位浏览更高（4,285 vs 1,745）。
- 爆款里带媒体占 0%、回复占 0%；日常分别是 11.8%、0%。
- 当前节奏约 0.4 条/天，日均浏览 1.3万。
内容结构
按本站分析的分类（近 120 天）还没有分类分析。
形式与语言
帖子占比- 纯文字17
- 图片2
回复占比 0% · 引用 68.4% · 带媒体 10.5%
互动最高的帖子
按浏览排序- 1
Nine loop calculations in N=4 Super Yang-Mills! Lance Dixon's 8-loop calculation was mind boggling when he did it. I calculated a lot of Feynman diagrams in grad school and this is 🤯 Will be amazing to see where AI will take high energy physics in the coming 12 months.
- 2
Gradually, then all at once.
- 3
This is exactly the right take.
- 4
💥 Introducing Warp Sciences, a new company applying AI and robotics to help the world develop new medicines faster. We’ve raised a $215M Series A led by @lightspeedvp to bring frontier AI out of the browser and into the lab, and build scientific capacity here in America. I co-founded Warp with my long-time friend @dpatil, FAIR co-founder @manohar_paluri, and drug hunter Sol Reisberg. The early team is full of incredible people like @bkspears9, who helped achieve Q>1 fusion at LLNL.
- 5
This is exactly the right take from @ericvishria @buccocapital
- 6
We need more of this kind of optimism about AI. Great take from @jeffreykWNDR on AI, technology, and creativity.
- 7
AI x mathematics ftw. What an incredible release today from OpenAI 🤯 There's a lot of work to do to get models of the same caliber in the physical sciences, but just think of the possibilities as we get there. And we will get there.
- 8
Thoughtful post (as usual) from @tylercowen on AI and mathematics. The last paragraph is particularly excellent. https://marginalrevolution.com/marginalrevolution/2026/09/the-mathematicians-rebel-against-ai.html
- 9
Go go @stoke_space! The world needs orders of magnitude more launch capacity.
- 10
Slowly, then all at once. A full Lean formalization of the classification of finite simple groups! The original proof was 15,000 pages of painstaking work across 500 papers by 100 mathematicians. Now settled beyond a doubt. https://axiommath.ai/research/the-enormous-theorem-formalized/
- 11
"The invention of the boat reduced the importance of swimming, but enabled the discovery of new lands." Beautiful analogy from @ylecun about the opportunities and changes with AI, in mathematics and in science more broadly.
- 12
I agree with @DaveARicks: large scale data collection via robotic labs will be a big part of the future of science.
点赞、转发、浏览是采集那一刻的快照，不是帖子最终数据；时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示， 否则只看近 4 周。“打法建议”只说明数据里的相关性，不代表因果。