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30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
51–60 of 121 posts
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#52Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?
First year CS student excited to learn about a thing puts together a small website of academic papers, posts it to HN to share with others. Then someone makes a shitty comment. Is that correct?
100% correct (anyone on hn for longer than 3 months will recognize that this is exactly the culture here).
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#53Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?
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Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#54Author here. First year CS student at Trinity College Dublin. I Built this because when I was getting into reading research papers I ended up burning a ton of my Claude usage asking questions other people have probably already asked. The website is just a side project and definitely a WIP. Happy to answer questions or take PRs on GitHub.
I think it'd be interesting to hear what you think the goal of the site is. Is it just rehosting the list, plus a reformatted copy of the papers? I was hoping you'd have at least annotated them with what you'd learned?
Hey thanks for checking out the website. I did not expect this to get as much attention as it did. I was honestly just planning on having it as a small side project for my friends and some others who would like to get into this kind of stuff. I will definitely annotate them in the future if that is something that people would appreciate. I currently have something like this done for a few papers on my X account.
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#55I thought the actual 30 papers have never been disclosed. Do you have a source tying the recommendations back to Ilya, or did you come up with this list?
The list I got was from ex-OpenAI employee Andrew Carr on X. I believe he said in his post however that the list he uploaded is not the full list they were provided at OpenAI however.
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#56Earlier quoted context omitted.
I think it'd be interesting to hear what you think the goal of the site is. Is it just rehosting the list, plus a reformatted copy of the papers? I was hoping you'd have at least annotated them with what you'd learned?
Hey thanks for checking out the website. I did not expect this to get as much attention as it did. I was honestly just planning on having it as a small side project for my friends and some others who would like to get into this kind of stuff. I will definitely annotate them in the future if that is something that people would appreciate. I currently have something like this done for a few papers on my X account.
I mean, you don't have to annotate them :) Would I love to read annotations? Sure - but it's a boatload of work for you, and if it's just meant as a repo for you and your friends, no need to do a ton of work just because an Internet rando asked.
But given the sudden wide audience, a quick "here's what this is for" at the top might be helpful.
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#57No need stupid moving texts. CS231n: Convolutional Neural Networks for Visual Recognition - https://cs231n.github.io/ The Unreasonable Effectiveness of Recurrent Neural Networks - https://karpathy.github.io/2015/05/21/rnn-effectiveness/ Understanding LSTM Networks - https://colah.github.io/posts/2015-08-Understanding-LSTMs/ ImageNet Classification with Deep Convolutional Neural Networks - https://papers.nips.cc/paper…
this is a goldmine, worth bookmarking.
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#58Hey guys, I really appreciate all of the attention this post has received. I honestly thought it was going to be just a small project to help some of my friends get into reading research papers.
A large number of people complained about how intense some of the backgrounds/animations were (I might have been a bit too focused on making something that looked cool over usability). In response I have added toggles for both the movement on the page and the backgrounds for the papers.
Other people mentioned that they would have liked some more personalised reflections on each paper. I currently have already done some of these for the more popular papers on my X @notmcrowley . I would have no problem adding these to the site if people think it will help. I feel the need to warn that I have not been formally educated on ML or AI so any interpretation will just be mine and may not necessarily be the correct one. (If anyone with more experience would like to contribute to this feel free to reach out).
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#59Why on earth would you deliberately choose to do whatever the fuck it is you did with the scroll and the animations for each paper when scrolling through the landing page? What are those animations supposed to be? I use firefox but I also visited on chrome, and the page is even more broken there. Scroll doesn't "take" unless I scroll hard enough, otherwise it bounces back. But on chrome, at least, it seems like the a…
Myspace and 5th grader PowerPoint presentations had a vibe coded child.
Re: 30papers.com – Ilya's 30 essential ML papers, in a beginner friendly format
#60Someone posts on X, "These are Ilya’s 30 papers", gives no source, doesn't say where he got it from, and isn't connected to either Ilya or Carmack (Ilya gave him the list). Then someone vibe codes a barely usable website based on that, and it lands on the HN front page? Is this correct?
First year CS student excited to learn about a thing puts together a small website of academic papers, posts it to HN to share with others. Then someone makes a shitty comment. Is that correct?
Shitty comment?
From my point of view the Jedi are Evil