CSS-Tricks is one of the most well-known resources for everything related to CSS. Founded by Chris Coyier, CSS-Tricks provides a wealth of articles, tutorials, and guides on various CSS topics. Whether you're a beginner or an advanced developer, you'll find valuable insights and techniques to enhance your CSS skills. - Source: dev.to / 20 days ago

There are signs that CSS Tricks is being revived after being dormant for over a year. Last year, I spoke of the decline of CSS Tricks following the acquistion by Digital Ocean. The post-acquistion stewardship by Digital Ocean was absymal. - Source: dev.to / 30 days ago

Stay Updated: Stay informed about the latest trends and technologies in software development by following blogs like Smashing Magazine and CSS-Tricks. Websites like Pluralsight and Udacity offer courses on emerging technologies like machine learning and blockchain. - Source: dev.to / 3 months ago

(https://css-tricks.com/) CSS-Tricks is a renowned blog and online guide dedicated to CSS, covering topics such as layouts, animations, responsive design, and advanced CSS techniques. This website is an essential resource for mastering CSS and staying up-to-date with the latest CSS developments. - Source: dev.to / 3 months ago

You can also do terrible, probably wrong napkin math, it was way too low: - $4MM sale [1] - ~7000 posts/pages [2] - So DO buying at ~$600 an article - Assuming writers were paid like $200-300 a post, DO basically paid exactly market rate for each article from CSS-Tricks at the $300 cost to a writer. - Except they get his brand, their already edited and vetted for quality, they have established search PageRank,... - Source: Hacker News / 4 months ago

Try this: https://experiments.withgoogle.com/collection/ai. Source: over 1 year ago

But Google has a whole set of AI writing tools - https://experiments.withgoogle.com/collection/ai So by their own definition they are producing spam? - Source: Hacker News / about 2 years ago

Https://experiments.withgoogle.com/collection/ai might also help (I haven't used this IRL). Source: over 2 years ago

It's hard to imagine you've not seen Google's doodle guessing training (or their other experiments) but it's just another example of how little information you actually need to create a recognizable image, though Canvas also shows this off, but it has the benefit of material information. Source: over 2 years ago

To come back to your original question, as far as I'm aware anyone can publish on arxiv or researchgate. People will just tend to take you less serious. Maybe a better solution for you is something like this https://experiments.withgoogle.com/collection/ai . You already said you think your idea might be industry changing so if it truly is, I'm sure people will start noticing you. Source: about 3 years ago