Your post was removed because it links to the website of a Christian nationalist, theonomist, or theocrat. Links can be archived by going to http://archive.ph/. Source: 11 months ago

Weird that it wasn't paywalled for me, but here is your teach a person to fish lesson. Copy the link and paste into: https://archive.ph. If somebody already did that, the article displays immediately. If not, you'll wait. Source: 11 months ago

For those who hate paywalls and love to read articles, but don't want to go to the websites themselves: https://archive.ph/ is your jam. Source: 11 months ago

Can someone archive.ph this for us non-aussies, please? Source: 11 months ago

You can read the article here if you want. https://archive.ph/B32Tj If you have an article you want to read and it's behind a paywall. This is a great site to use. https://archive.ph/ Just put the URL in the box and it will pull up the article for you. Source: 11 months ago

Distill was a new take at publishing research/ideas in deep learning in a visual way: https://distill.pub/ I love their articles and while it was hard to sustain, the quality of the ones in their are pretty good. They provide some tips and templates on how to develop such visual storytelling articles. - Source: Hacker News / 8 months ago

Explainable AI is far from early stages. Read into anthropic ai’s work in mechanistic interpretability like toy models of superposition along with the rest of the transformer-circuits papers. Read chris olah’s distill papers. Read neel nanda’s recent work on reverse engineering how language models grok modular addition. Read kevin meng’s work on locating and editing facts inside of gpt. Read openai’s paper on... Source: about 1 year ago

I also wasn't aware of either The Pudding or distill.pub. So thanks for just mentioning those. Source: about 1 year ago

Anything from Setosa [0] is really good. It contains interactive, animated illustrations of several Machine Learning ideas. I _loved_ reading papers from Distill Pub [1] as they contained interactive diagrams. My most favorite one so far is the thread on Differentiable Self-organizing Systems [2]. I liked the lizard example very much as it is interactive, and lizards grow lost organs back. I think this is funny.... - Source: Hacker News / over 1 year ago

If you include deep learning in CS then https://distill.pub/ has a lot to offer in this category. - Source: Hacker News / over 1 year ago