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FeedMail is a no-nonsense, low-cost RSS-to-Email service. Buy credits and get notifications. Notification emails support rich formatting from the feed itself without adding much borders and formatting that cramps the content.
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Kevin had been using other RSS-to-Email services for 8 years and despite paying for the premium plan wasn't fully satisfied with the offerings. He decided to make his own and make it available to others.
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FeedMail believes in simple and reliable code. It is written as a Rust service powered by a PostgreSQL database.
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Distill might be a bit more popular than FeedMail. We know about 25 links to it since March 2021 and only 24 links to FeedMail. 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.
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
Tool for easily transferring files between my devices. https://filepush.kevincox.ca/. Blog post about the implementation: https://kevincox.ca/2022/11/02/decentralized-via-webpush/ RSS-to-Email service https://feedmail.org/ Tool for identifying grids in D&D map images https://gridfinder.kevincox.ca/ A solver for the Ricochet Robots board game https://ricochetrobots.kevincox.ca/ A tool for quickly picking a first... - Source: Hacker News / 4 months ago
My first $100 is getting fed up with my existing feed reading and making https://feedmail.org/ available publicly. First $1000 is still crickets, but I'll probably get there soon. But I'm not really trying to profit, I just wanted a better reader for myself and figured I would make it available. Making it paid is mostly to greatly reduce the abuse opportunities. - Source: Hacker News / 10 months ago
If you want faster updates you can use my service https://feedmail.org which updates this feed every 15min. It is paid but with 400 free updates you should be able to use the trial for years. Source: 11 months ago
Hi. I run a service just for this https://feedmail.org. It is a paid service but there is a 400 email free trial for you to test it out. It is very cheap after that. Source: about 1 year ago
I use RSS-to-Email then read them in my mail clients. Most things get routed to a few folders without notifications that I open when I want news. I'm using my own RSS-to-Email service https://feedmail.org but I've also used https://blogtrottr.com/ in the past. - Source: Hacker News / about 1 year ago
Genie History Search - Always find the page you are looking for, like magic.
Blogtrottr - Track RSS feeds and send updates to your email inbox.
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Machine Learning Weekly - A hand-picked newsletter in machine learning & deep learning
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