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Based on our record, Distill should be more popular than Kontact - Akregator. It has been mentiond 25 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
And maybe subscribe to arch-announce. Or use a RSS/Atom Feed reader for: https://archlinux.org/feeds/news/ I use Akkregator on my KDE desktop. Source: 11 months ago
Akregator works well for me. I don't want to use my browser, but I want to preview the content. Source: almost 2 years ago
I use the default application on my Fedora KDE installation, Akregator. It's nothing too fancy but it's functional enough. I haven't explored any of the web applications that allow you to log in to your feed—for now I'd rather just export my directory of feeds as an OPML file backup if I'm switching between installations. Source: about 2 years ago
If you're a KDE Plasma user, there is Akregator. I don't really browse RSS feeds, so I don't have any basis for comparison, but it does all the things you're looking for. Source: over 2 years ago
KDE PIM comes with akregator as a feed reader. It is pretty unyielding and convoluted to use and too intrusive in appearance for a feed reader. Several threads in this subreddit also suggest that it is abandoned and unmaintained. There is a simpler kirigami-based alternative called alligator. I've built it from AUR and it feels better to use, but lacks * a global menu * sync on startup * marking all articles in a... Source: over 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
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