Mailbrew VS Distill

— Filters for the incoming emails Alternatives: About a year ago, I found out, that the guys from https://mailbrew.com/ have an essentially identical product, which I used for a few months myself. The product is quite nice, but for my personal usage it did not work very well. I disliked the reading experience, the email formatting was broken for Outlook on Android for a while and forwarded emails did not look nice... - Source: Hacker News / about 1 year ago

I looked at this a few months ago and ended up using mailbrew.com. It's free. Source: about 1 year ago

Https://mailbrew.com/ has helped me since instead of browsing reddit for hours and hours... It kind of just gives me the top three of things I'm interested in (like this post). Source: about 1 year ago

Https://mailbrew.com/ Not a Mac specific app, but a webapp for taming inbox overload You can create your own newsletter from favorite sources. Source: over 1 year ago

What is the font Mailbrew uses in their website headings? Thank you). Source: almost 2 years 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 / 7 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: 11 months 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