One Researcher Built a 10,000-Paper AI Reading List So You Don't Have To

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1s611t3/r_lag_state_in_citation_graphs_a_systematic/"> <img alt="[R] Lag state in citation graphs: a

<table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1tq53il/kept_contextswitching_between_arxiv_openreview/"> <img alt="Kept context-switching between

<p>There are more open source tools than ever. GitHub has hundreds of millions of repositories. And yet, when you need a specific tool — a self-hosted analytics platform, a

<!-- SC_OFF --><div class="md"><p>Been heads down building graphify since April 5th. The idea: instead of stuffing your entire codebase into context every session, build a

<p>"The Reasoning Trap." The line the authors won't quite say out loud is that the smarter your model gets at reasoning, the more likely it is to fabricate a tool that doesn't

<p>You spent months tuning your <code>&lt;title&gt;</code> tags, chasing backlinks, submitting sitemaps to Google Search Console. Your rankings are solid. Then you ask ChatGPT

<p>Every AI agent has the same problem. You ask it to read a webpage and it comes back with a 403, or worse, 5000 tokens of navigation bars and cookie banners.</p> <p>I spent the

<p>Every time I sit down to explore a research topic, the same thing happens.</p> <p>I open arXiv for preprints. Then Semantic Scholar for citations. Then Crossref to verify a