![[P] I built a personal research newspaper to funnel arXiv](https://preview.redd.it/j1ow1ag1kdsg1.png?width=140&height=101&auto=webp&s=cfded850f964167c09e526da58a34ca60b3afbb2) | I'm a PhD student - mech interp x histopathology - and the amount of noise in the space, especially arXiv, is crazy high. Each week thousands of pre-prints land there, and maybe 10 or 20 are relevant to me? Some of them might even have the next insight that unlocks a potential research question. So.. I built a personal research newspaper. You email it your interests and it will send you one weekly edition written in a journalistic style. It also supports a bunch of literary styles so if you want your next edition to be written like Feynman or Hunter S Thompson.. go for it. Most newsletters give a broad sweep and while interesting in their own right they just feed my ADHD. Check it out, I hope it's helpful. It regularly finds me a paper or two that's worth skimming. p.s It's free, costs me 4 cents per edition and uses gpt-5.4-mini under the hood. It's a hobby project that I will run for a while till I run out of credits or switch to an OSS model :) [link] [comments] |
[P] I built a personal research newspaper to funnel arXiv
Reddit r/MachineLearning / 3/31/2026
💬 OpinionDeveloper Stack & InfrastructureSignals & Early TrendsTools & Practical Usage
Key Points
- A PhD student built a free “personal research newspaper” (rnn.news) to reduce noise from arXiv and surface a small set of papers relevant to the recipient’s interests.
- Users email their interests and receive a weekly edition written in a journalistic style with support for multiple literary/mimic writing formats (e.g., Feynman or Hunter S. Thompson styles).
- The project is positioned as a narrower, more tailored alternative to broad newsletters that can overwhelm researchers’ attention (e.g., for ADHD).
- The system claims to regularly find one or two skimmable papers and is currently run using GPT-5.4-mini, with low estimated per-edition cost and potential future shift toward OSS models.
