Look, it’s dhh and we all have our thoughts about him and his political beliefs but when he sticks in his lane of only doing code/technical stuff, he can produce some really good stuff. His Arch/Hyprland setup here is lovely.
Whoa! Teenage Engineering have made an electric scooter and it’s shockingly cheap? (For TE, I mean. The base 30mAh model scooter is only slightly more expensive than the collapsible table they brought out a couple of years ago).
The graph showing the CEO’s wages in relation to those of the average worker is eye-opening. At these numbers, things get hard to visualise but this does the best job I’ve seen.
Every week, I listen to Kevin Roose and Casey Newton’s podcast and I’m flabbergasted by the complete lack of incredulity these two bring to the world of technology, so it’s great to read a thorough dunking like this:
And I was thinking about Kevin Roose, serially and with apparent enthusiasm donning each next pair of gigantic clown shoes handed to him by this or that Silicon Valley titan, and dancing in them long past the point when everybody else figured out it was all on behalf of a grift.
But this paragraph also resonated with me, after a week of reading so many “Nintendo Switch 2 vs Steamdeck” arguments:
My suspicion, my awful awful newfound theory, is that there are people with a sincere and even kind of innocent belief that we are all just picking winners, in everything: that ideology, advocacy, analysis, criticism, affinity, even taste and style and association are essentially predictions. That what a person tries to do, the essential task of a person, is to identify who and what is going to come out on top, and align with it. The rest—what you say, what you do—is just enacting your pick and working in service to it.
I’ve enjoyed Dan Sinker’s series on each year in the making of Punk Planet and this last entry, about the end, is particularly lovely. And what a great conclusion.
Quite a lot of voices say, ‘You can only train on my content, [if you] first ask’. And I have to say that strikes me as somewhat implausible because these systems train on vast amounts of data. I just don’t know how you go around, asking everyone first. I just don’t see how that would work,” Clegg said.
This reminds me of the Upton Sinclair quote “It is difficult to get a man to understand something, when his salary depends on his not understanding it.”
I’d like to remind you that our company policy is pro–Plagiarism Machine™. We’re a tech-forward, future-oriented company that doesn’t shy away from the promise of new innovation—even if that innovation is a Giant Plagiarism Machine™ that copy-pastes existing innovation into fake sentient sentences.