Miniflux VS Distill

I see this all the time and while at the time I thought the same there's so many good alternatives these days, even better than back then. All the interesting and small websites I want to follow still have RSS feeds so I feel like we can move on. The two I use for many years already are: - https://miniflux.app (OS, Minimal, web interface and can be used with all clients that support Fever or Google Reader API) -... - Source: Hacker News / 3 months ago

And like with most multiplatform apps, it doesn't look native at all on iOS. I prefer my current combination of: https://netnewswire.com + https://miniflux.app Both open source too. - Source: Hacker News / 3 months ago

Ive had pretty good luck finding feeds for stuff I want to subscribe to. There isn't always an explicit rss link but you'd be surprised how many blog platforms provide a /rss or /feed endpoint by default. The reader I use is pretty good at finding them if I just give it a link to the home page. Source: about 1 year ago

I have miniflux https://miniflux.app/ as my rss reader. It is setup in a container and if I am outside of my home network I use tailscale to connect to the local network. Source: over 1 year ago

As a recent returnee to the world of RSS feeds, I’ve been enjoying the miniflux client [1] self hosted with docker-compose. Fast, cross-platform, not fancy. [1] https://miniflux.app/. - Source: Hacker News / over 1 year 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