A useful crowd-sourced resource for finding Google alternatives: https://nomoregoogle.com/. Source: over 1 year ago

My point is more to introduce alternatives to Google. They’ve proven they have little regard for the privacy of their users. Source: over 1 year ago

Https://nomoregoogle.com/ Privacy-friendly alternatives to Google that don't track you. Source: almost 2 years ago

Each step you take to be more private helps. The simplest you can do is use less Big Tech products. For example, stop using Chrome and use Firefox instead, stop Google search and use Startpage or Duckduckgo, stop Google Maps and use OpenStreetMaps, stop GMail and use e.g. ProtonMail etcA larger list of alternatives is available at https://nomoregoogle.com/Then, you can start by using popular open-source software... Source: almost 2 years ago

Nomoregoogle.com provides a list of alternatives to get you started. 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 / 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: 12 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