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Hello, I was going through html versions of my preprints on Arxiv, thank you for all that you guys do Please do let me know if the community could contribute through any means for the same


You can help make LaTeXML better, or you can simply report issues when you spot them during reading. Some we have collected automatically (any errors and missing packages), but others we can't - wrong colors, broken aspect ratios of figures, weirdly layed out author lists, etc.


I was reading through this article too, glad to have found it on here


Thank you for letting us know of it here—sent them a pitch on the hidden vision math in color contrast fixes (FOSS lib: https://github.com/comfort-mode-toolkit/cm-colors). Fingers crossed! :>


Thanks! I pre-approved it today, so you probably already received a reply from our Editor-in-Chief :)


ooh this is better than the one I thought, instead of trying to create an accessible framework I guess it's easy both on adoption end to make existing frameworks have an accessible version

I tried running an experiment on this, like how much of forms can be automated ( in terms of aria roles, adding a label when we can recoognise it's a sign up form etc ), I am still researching on what can be safely automated and what must NOT be at any cost, But yeah, like you said discovery is a bigger barrier, maybe a website which hosts collections of all foss a11y tools will help?


Not into investments, but I do feel like AI is more of a shift the way cars were from bullock carts - So most probably it wouldn't take over to the point of AGU anytime soon ( especially w.r.t to hardware robotic AI models ) anytime soon But neither would it disappear, we will just have a slightly modernised way to work than we would have than if AI wasn't there


Hey how's this different from usual github tracking? Does it sync with github issues? Looks interesting, will check this out


hi thanks for the comment. basically it's nothing more than a tool managing markdown files for issues in the git repo but it's very powerful with AI agents as they can recognize issues with simple instruction of the folder structure


How do we bridge the gap between ideals and implementation? There are loads of tools out there for enterprises, but what about startups, devs and students? What tools can make it easier for the everyday people who don't have the resources to build a custom ship across the ocean?


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