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 | 42 | 373 |
| 带媒体 | 21.4% | 20.4% |
| 回复 | 0% | 0% |
| 平均字数 | 117 | 181 |
| 中位浏览 | 659 | 338 |
打法建议
只陈述相关性- 互动最好的时段是 04:00 前后（北京时间），中位浏览 431。
- 一周里 周一 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高（361 vs 362）。
- 爆款里带媒体占 21.4%、回复占 0%；日常分别是 20.4%、0%。
- 当前节奏约 13 条/天，日均浏览 487。
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330
- 图片49
- 视频36
回复占比 0% · 引用 62.9% · 带媒体 20.5%
互动最高的帖子
按浏览排序- 1
This is an interesting perspective on BCI devices and human-AI co-evolution.
- 2
Recursive Self-Improvement Explained
- 3
Late stage capitalism. Everybody is gaming the system looking for loopholes. The winners are the adversaries who have zero interest in long term prosperity.
- 4
Artificial Creativity - A film generated by Opus 5.5. 34 mininutes long (34 GB). The original HTML is only 13.8 MB! They say pictures are a thousand words. Here we have programs generating a thousand pictures. (turn sound on)
- 5
Transformers explained via Semiotics (turn sound up)
- 6
Napkin mass on the widening LLM understanding gap. I think the 20M estimate here is too high.
- 7
Hard choices as we approach the Singularity.
- 8
Firms don't want to move at the speed prescribed by frontier-labs. A comfortable speed implies an illusion of control. Furthermore, firms don't have talent that can quickly understand and adopt new ways of doing things.
- 9
Why AI that conjures up programs is a new kind of generalization and why it leads to recursive self-improvement. (turn sound on)
- 10
He's not wrong. However, do you want to become a machine? Do we expect the same for other humans?! https://x.com/huxlab/status/2108121268004536474?s=20
- 11
Yeah, Opus 5.5 is a paradigm shift compared to just 6 months ago. This is not hype; where we are right now is insane. I have seen enough.
- 12
An entirely new level unlocked: knowing your user and his context! https://x.com/XH_Lee23/status/2109244120938250732?s=20
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。