"Beats to Relax/Study To: Contradiction and Paradox in Lofi Hip Hop"
Windows Operating System "Our low performance is not an existential threat to the business. "
A lot of it was done in jest, but nevertheless
arte's TRACKS did a bit on Chris Korda <3
(there are bits in French, but most of it is in English)
"Remote login is a lot like astral projection"
Be openmindedly curious about people and the world.
Share your findings enthusiastically.
Connect ideas, and people.
Marc had a dedication and a natural talent for all that.
It made him a great teacher, a valuable inspiration, a humble but essential pillar of countless scenes and communities.
The best revenge against his premature passing away is to continue his legacy.
Be equally generous. Be more like Marc.
Even if you never met him.
One of the reasons why you get slightly dramatic news articles about Windows 7 end-of-life is that at least MS publishes their end-of-life schedule.
Apple support their OSes barely 3 years, but you don't hear about it because they have no official policy.
So Apple looks again like the good guy, and Microsoft as the mean soulless corporation.
... which they are, for absolutely different reasons like collaborating with ICE.
How stalking is framed as a gesture of love in hollywood https://www.youtube.com/watch?v=rZ1MPc5HG_I
"Shell Oil Executive Boasts That His Company Influenced The Paris Agreement"
(via @joachim of course)
cauliflower morgan queenchandrelle
Computers can not and probably never will be able to account for jokes, irony, cultural contexts etc. so trying to automatically classify the use of language in this way is flawed and potentially extremely dangerous. That is why we don't want 'AI' to make these kinds of value judgements. Someone will at some point make a moderation bot based partly on the cauliflower corpus.
It also shows that irony, shitposting, noise, is a very good way to thwart this kind of reasoning.
Anyway the authors of the objection letter have much more thorough critiques of the research methods and conclusions and I recommend reading it:
cauliflower morgan queenchandrelle
It is clear the researchers did not know the net culture they researched, which turned out to be a huge disadvantage to them.
Their research is based around constructing a data set of 'sensitive' and 'inappropriate' posts. Ostensibly to be able to automagically do content moderation (hmmmmmm...). To identify what is 'inappropriate' they filter out posts that contain a 'CW' or that in the toot's json are marked Sensitive:True (see for example: https://post.lurk.org/@rra/102858640595640073.json).
The big error they make is to take 'Content Warning' and 'Sensitive' labels for granted as the only use. If your on the fedi for just one day however, you know the CW has a much richer culture around it than just flagging 'inappropriate' or 'sensitive'.
Instead of 'CW', the button may has well been labled, 'Spoiler Alert', 'Click-And-Reveal Joke', ' Summary', 'I'm sorry for posting such a wall of text button' etc etc. You can see the effect of this in the word clouds they add to their article. A CW is not at all a measure for the 'appropriateness' of a post.
It is such a shortcoming in their conclusion that could have easily been avoided by actually engaging the communities you study. But that means talking to people which is: 1 hard, 2 not "AI"
From Andrew Smith's Totally Wired
"Levy" is https://en.wikipedia.org/wiki/Jaime_Levy
obscure japanese pop
see also: image dithering algorithm previews via WebGL https://dithermark.com