Mozilla’s now director of public policy once asked me, with a straight face, why I was giving them a hard time and holding Mozilla to a higher standard: “we’re just another Silicon Valley tech company.”
But that’s not what you tell people publicly, is it, Mozilla?
Still, it’s time y’all got this.
Mozilla is a half-billion-dollar for-profit corporation – whose CEO makes >$3M/yr – that has a foundation do its PR.
https://www.howtogeek.com/760425/firefox-now-sends-your-address-bar-keystrokes-to-mozilla/
@QOTO I know some colour-blind people IRL, so I was wondering if the Mastodon web front-end is easy enough to use for people like them. Say, the 'Boost' button changing colour on clicking it.
BTW, is there a theme suited for such use? That way, the other themes can worry about colour-aware aesthetics only.
After years of living on the bleeding edge of free code OS and apps, I'm really feeling the need for a stable, reliable #UX for day-to-day communications etc. But I honestly don't know how to achieve that right now without compromising my software freedom.
@freemo @tetrislife @QOTO
And here we stumble upon the question of revolutionary change and legacy compatibility again
@QOTO I appreciate the variety of services qoto.org opens up (I appreciate nixnet, snopyta, ouvaton, disroot, frama* too). Becaise I also appreciate all-in-one solutions like Hubzilla and public hubs, I was wondering if the one log-in can be used for all of qoto.org's services.
What bothers you more -- the suggestion that programming=#javascript or the mis-alignment of the answers?
QT: https://social.cybre.town/@DeveloperMemes/107066034073133267
Getting Started on Nyxt Hacking https://nyxt.atlas.engineer/article/getting-started-on-nyxt-hacking-1-bookmarklet.org | https://lobste.rs/s/dlpe2s #browsers #emacs #lisp
This paper is great. It is like a good slice of what is going on in formal methods and machine learning right now.
- Methods of space convergence from AI, can, and do, outperform the brightest algorithm writers, especialy when the time complexity is high. And innacuracy is easy to control for.
- It is all just programming. It is research level, but still. ML algs can be used easily in code logic, if there is a layer to handle uncertainty.
- Many of the referenced papers are about software that generates code without programmers. Obviously computer vision is going to beat any human, but the best tech for other domains are referenced here. Much of it is about indirect code reasoning.
- Real data is not needed for ML (supervised) research to progress. This data, CLEVR, is synthetic. Sometimes richer synthetic datasets make a better playground.