matt1

I think you might be getting the two projects mixed up.

Emergent Mind, my tool, has been in the works for over two years. If that's the interface you're referring to, thank you.

Asxiv, what this post is about, was built in a day by the OP.

Hey all, I’m Matt Mazur, the founder of Emergent Mind, a new AI research assistant that helps you learn about any computer science research topic.

You can ask it questions (“What’s the difference between DPO and PPO?”), look up topics (“Graph Convolutional Neural Networks”), learn about papers (“KAN: Kolmogorov-Arnold Networks”), and research authors (“Yann LeCun”). Behind the scenes, it will try to find the most relevant computer science papers on arXiv, then synthesize their findings to generate a detailed, research-backed answer for you, all in a matter of seconds.

Unlike tools like ChatGPT, Emergent Mind is hyper-focused on computer science. It factors in citations and social media metrics to help rank papers (including Hacker News upvotes). It provides references so you know what papers the answers came from, is always up-to-date with arXiv (about 670k comp sci papers and counting), and encourages exploration using automatically-generated follow-up questions and topic links (similar to Wikipedia).

The tool is still fairly new and there’s endless room for improvement, but we wanted to share it with you all to get any feedback to make sure our product roadmap is aligned with what folks would find most useful.

Hey all, Matt here, Emergent Mind's founder.

Yes, Emergent Mind is 100% focused on AI/ML papers from arXiv. I think it makes more sense to focus on a niche because you can tailor everything to that niche, vs creating a general research paper site which won't wind up speaking to any audience well.

For anyone curious about Emergent Mind: it surfaces trending AI/ML papers by monitoring social media (HackerNews, Reddit, X, YouTube, and GitHub) for discussions about papers, then ranks them based on the amount of engagement they're getting (similar to how HackerNews uses upvotes). Then, for all trending papers, it automatically summarizes them using GPT-4o and links to relevant discussions so you can learn more.

We're working on a bunch of new capabilities that we'll announce soon too.

Feedback welcome: [email protected]

If you're a fan of tldr-ai, you might also like my site, EmergentMind.com, which does something similar: it surfaces trending AI papers based on social media engagement (including HackerNews upvotes!), then summarizes those papers using GPT-4 (a bullet point summary + detailed writeup based on the actual content of the paper), and highlights discussions on HN, Reddit, YouTube, GitHub, and X about that paper.

I don't want to highjack this launch post (we definitely need more tools in this space!), just wanted to share my tool for anyone interested since it's related. Feedback welcome: [email protected].