2
points
internet_points
Joined 1,527 karma
- internet_pointsAt least better than completely disallowing it I guess.
- if you require a backend/frontend split, you're maybe not in the htmx use case
if you can imagine having just one "end", maybe you can use htmx
- how do you deal with spam/abuse?
- To me it sounds like a reasonable "AI-conservative" position.
(It's weird how people can be so anti-anti-AI, but then when someone takes a middle position, suddenly that's wrong too.)
- your ideas are intriguing and I wish to subscribe to your newsletter (non-ironically!)
- I think me and my partner have read too many fantasy books to use an app named "Coupling" without chuckling :)
- Idunno, languagetransfer is a huge success, and is super calm and non-gamified. Or, it's a huge success in that it helps a lot of people learn languages, maybe not so huge success in SV/YC terms =P
- Hey, i used em-dashes long before they got appropriated by AI!
How sad, what it does to us.
- It's not just a reflex, it's disappointment
https://theoatmeal.com/comics/ai_art said it better than I ever could
- Yeah, can someone explain how you get rich by making the previously-employed workforce unable to afford your products?
- how's the AI (as in computer opponent) these days? last time I played vcmi, that was my only gripe – the bots were so stupid.
- there is also https://gitlab.com/dto/cell-mode and https://www.gnu.org/software/emacs/manual/html_mono/ses.html... and https://github.com/ShuguangSun/ess-view-data
though I tend to stick with org
- I thought that kind of career change only happened in The Sims :-)
- > If we allow ourselves to be seduced by the superficial similarity, we’ll end up like the moths who evolved to navigate by the light of the moon, only to find themselves drawn to—and ultimately electrocuted by—the mysterious glow of a bug zapper.
Good argument against personifying wordbags. Don't be a dumb moth.
- https://www.pan-europe.info/resources/reports/2025/12/unseen... seems like the report
- > LLMs are so good on the Turing test scale that people can't help but anthropomorphize them.
It's like Turing never noticed how people look at gnarly trees in the dark and think they're human.
- The original statistical machine translation models of the 90's, which were still used well into the 2010's, were famously called the "IBM models" https://en.wikipedia.org/wiki/IBM_alignment_models These were not just cool tech demos, they were the state of the art for decades. (They just didn't make IBM any money.)