Suresh retweeted
英語論文執筆におけるAIっぽい表現を修正するスキル”Humanizer academic”マイナーアップデート
github.com/matsuikentaro1/hu…
最近のGPTやClaudeはcoding agentとして最適化された結果？人間には読みにくい言葉遣いが多い…このスキル使うとちょっとマシになります（中華圏でよく使ってもらえてるっぽい）
Suresh retweeted
ETH Zurich（苏黎世联邦理工学院） 把 2026 年整门机器人学习课公开了。不是精简版网课。
是正课本身：课件、课堂录像、编程作业、GitHub 仓库全在。
课程从模仿学习、强化学习一路讲到 Vision-Language-Action 模型和机器人基础模型。
客座包括 Physical Intelligence 联合创始人 Quan Vuong、Diffusion Policy 作者 Cheng Chi、Dieter Fox 等一线研究者。
12 周。
免费。
不用注册。
主讲人是 Oier Mees 和 ETH Zurich 团队。想搞清楚机器人智能真正在往哪走，这就是这个领域现在在用的那份清单。
课程首页：cvg.ethz.ch/lectures/Robot-L…
Suresh retweeted
Hi all, I wrote a guide to applying to PhD programs based on my own experiences. I hope it is a helpful resource!
pz1729.substack.com/p/guide-…
Suresh retweeted
We just killed Exa, Tavily, SerpAPI, and Brave.
Your agent can now search & fetch any webpage for 100% FREE.
Them: $7 per 1,000 searches.
Us: $0. No subscriptions, no quotas.
Humans search Google for free. Agents shouldn't have to pay either.
Made possible by @Tiny_Fish and @MonidHQ.
Suresh retweeted
50 websites that feel like the internet’s hidden toolbox 🧰
1. unpaywall.org — Free research papers
2. openlibrary.org — Borrow books online
3. doaj.org — Free academic journals
4. alternativeto.net — App alternatives
5. justwatch.com — Find where to stream
6. archive.org — Internet archives
7. gutenberg.org — 70K+ free books
8. openstax.org — Free textbooks
9. openculture.com — Free courses
10. wolframalpha.com — Solve complex problems
11. photopea.com — Photoshop alternative
12. squoosh.app — Compress images
13. remove.bg — Remove backgrounds
14. cleanup.pictures — Remove objects
15. unscreen.com — Remove video backgrounds
16. carbon.now.sh — Beautiful code images
17. ray.so — Code screenshots
18. shots.so — Product mockups
19. smartmockups.com — Create mockups
20. haveibeenpwned.com — Check data breaches
21. virustotal.com — Scan files & URLs
22. privnote.com — Self-destructing notes
23. temp-mail.org — Temporary email
24. file.io — Temporary file sharing
25. archive.ph — Save webpages
26. similarsites.com — Find similar websites
27. radio.garden — Explore global radio
28. everynoise.com — Discover music genres
29. tunefind.com — Find songs from shows
30. musicforprogramming.net — Focus music
31. mynoise.net — Custom background sounds
32. coffitivity.com — Café ambience
33. elicit.org — Research assistant
34. consensus.app — Research-backed answers
35. connectedpapers.com — Research connections
36. semanticscholar.org — Academic search
37. scispace.com — Understand research papers
38. summarize.tech — YouTube summaries
39. phind.com — AI for developers
40. regex101.com — Test regex
41. codebeautify.org — Format code
42. jsonformatter.org — Format JSON
43. explainshell.com — Understand terminal commands
44. raindrop.io — Bookmark manager
45. downdetector.com — Check outages
46. tineye.com — Reverse image search
47. fast.com — Internet speed test
48. smallpdf.com — PDF tools
49. ilovepdf.com — Merge/split PDFs
50. 10minutemail.com — Temporary email
Save this. You’ll definitely need some of these later. 🔖
Follow @I_AM_AYASHA for more useful websites, AI tools & tech resources. 🚀
Suresh retweeted
If I were hiring a PhD student today, these are the emails I’d reply to. Most emails begin by telling me how much they admire my research.
That doesn’t help me.
Tell me which assumption in my recent work caught your attention. Tell me which limitation you’d want to test. Tell me where your own research unexpectedly overlapped with mine. Within a few sentences, I know whether you’ve read a paper or understood a research programme.
The second thing I look for is whether you understand your own work. Don’t tell me you used CRISPR, RNA-seq, or machine learning. Tell me why you chose that method over another.
Tell me what failed. Tell me what you would do differently if you repeated the study.
Methods can be taught. Scientific judgement cannot.
Finally, I ask myself one question:
“Can I already imagine this person discussing data at our lab meeting?” Very few emails answer that question.
The strongest ones don’t sound like requests for supervision. They sound like the beginning of a collaboration.
That’s why they get a reply. If your emails aren’t getting responses, the problem usually isn’t your English or your CV.
It’s that you’re introducing yourself instead of introducing your thinking.
DM me “Email” if you want me to review your outreach the way a PI actually reads it.
Against Qwen3-VL-4B, TimeLens2-4B raises mIoU: VUE-TR from 33.6 to 53.2, VUE-TR-V2 from 20.3 to 48.1, MomentSeeker from 15.3 to 27.9.
Supervised ablation: 5% TimeLens2-93K raises Qwen3-VL-4B average mIoU from 34.7 to 42.8; 100% reaches 45.8. arxiv.org/abs/2607.17423
