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 | 8 | 69 |
| 带媒体 | 62.5% | 62.3% |
| 回复 | 0% | 0% |
| 平均字数 | 174 | 206 |
| 中位浏览 | 2,204 | 276 |
打法建议
只陈述相关性- 互动最好的时段是 15:00 前后（北京时间），中位浏览 865。
- 一周里 周二 的中位浏览最高。
- 形式上 带图/视频 的中位浏览更高（330 vs 279）。
- 爆款里带媒体占 62.5%、回复占 0%；日常分别是 62.3%、0%。
- 当前节奏约 2 条/天，日均浏览 1,931。
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- 图片37
- 纯文字29
- 视频11
回复占比 0% · 引用 53.2% · 带媒体 62.3%
互动最高的帖子
按浏览排序- 1
MiniCPM-V 4.7 running locally at 100 tokens/second! New multimodal models from @OpenBMB using only ~3 GB of memory. Below, I showcase how to run it with @llama_cpp's web UI 🧵
- 2
My prediction is that, despite Gemini 4 beating all models on most benchmarks, it won’t transfer to real world usage The last time I used Gemini for coding was Gemini-2.5-Pro-exp-03-25, released > 1.5 years ago I really hope I’m wrong though
- 3
Hi folks. Thanks for reporting https://paperswithcode.co is currently down I’m travelling South Africa for the moment and touching grass. Bear with me to make it available again. Might take some days. Planning to open-source the code base once I’m back
- 4
The Hugging Face for rl envs is literally just Hugging Face Find the new filter here: https://huggingface.co/datasets?other=rl-environment&sort=trending
- 5
I literally cannot choose between each of these tools
- 6
If you haven’t tried Jobs on @huggingface, I highly recommend it! It’s serverless compute (CPU or GPU) for anything you want to run on the cloud It’s agent-first thanks to the hf CLI and Skill. I use it to power all CRON jobs of Papers with Code, among other things Check it out at https://huggingface.co/docs/hub/jobs
- 7
Elite tweet
- 8
Papers with Code is live again! However, I hit my 5 hour limit after just 2 prompts, not sure what happened It’s temporarily fixed, better fix will be coming once I’m back
- 9
Made some improvements to the paper PDF reading experience on PwC! - faster PDF loading - jump to specific chapters Try it for example on @XiaomiMiMo's new work: https://paperswithcode.co/pdf/2610.11959
- 10
Anyone else going?
- 11
Interesting to see that the best American open-weight model is tied to the best open-weight European model Both are GPT-6 Luna-level
- 12
I’m so proud that when you ask “What’s the SOTA for small coding agents” on Papers with Code, it includes FrogNano in its answer 😍🤗 Congrats Microsoft on this release! https://staging.paperswithcode.co/share/f614f810-c938-42ce-940d-abb3d8516302
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。