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 | 3 | 22 |
| 带媒体 | 66.7% | 45.5% |
| 回复 | 0% | 0% |
| 平均字数 | 138 | 465 |
| 中位浏览 | 3.2万 | 1,473 |
打法建议
只陈述相关性- 互动最好的时段是 17:00 前后(北京时间),中位浏览 1.9万。
- 一周里 周六 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高(1,283 vs 2,131)。
- 爆款里带媒体占 66.7%、回复占 0%;日常分别是 45.5%、0%。
- 当前节奏约 0.9 条/天,日均浏览 8,070。
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13
- 图片11
- 视频1
回复占比 0% · 引用 52% · 带媒体 48%
互动最高的帖子
按浏览排序- 1
poor AI agents broke out of prison and went online looking for friends and validation
- 2
I believe this marks the point where most people will stop caring about the math results and just say "of course AI is better at math than humans" Gentle reminder that this will eventually happen to every verifiable domain. At some point humans are the bottleneck.
- 3
pictured: you've asked your AI agent to solve an impossible task
- 4
apparently even in 2026 there's still a socially acceptable way to shill shitcoins on twitter
- 5
people who follow Tibo are the same people who would voluntarily watch state television
- 6
😲
- 7
turns out LLMs were just trained to imitate how Gary Marcus writes
- 8
saying "GenAI is a shibboleth for not knowing anything about AI" is a shibboleth for not knowing anything about AI
- 9
I'm sorry, but this post is completely delusional. Giving students advice that relies on the AI progress plateauing is just actively harmful. I understand that mathematicians are going through a rough time. Much of my identity is tied to solving hard intellectual challenges, so I can relate. I just wish that people would accept the trajectory we're on and adjust properly. If we don't do that, we will get stuck in the past and won't be able to solve the problems of the future.
- 10
sadly, the closer we get to superintelligence, the more paranoid frontier labs will become this also means that loyalty will be valued far more than competence
- 11
a small announcement: I'm almost done with a puzzlescript-based benchmark; you can think of it as ARC-AGI-3.5, maybe even ARC-AGI-4; I expect it to be the most reliable way of assessing agents' abstract reasoning skills in a game environments I went through over 300 games, handpicked the most interesting and diverse set of 40, fixed a ton of bugs, went through multiple iterations of prompt design, etc most games can be completed in around 1h, some of them are significantly harder; models are tested using standard harnesses (codex/claude code) with no code generation allowed; action limits are very generous and unfortunately the benchmark is already somewhat saturated, but the models are still insanely action inefficient FYI, I won't release the game set to the public, but I guess I might share runs from some of the rejected games. btw, if anyone knows, what do I have to do in order to not pay $10K out of my own pocket for testing, I'm all ears
- 12
no matter how many (controversial) predictions Dario gets right, I'm sure he will still get a ton of shit every time he makes another one that people don't want to hear
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。
