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abejfehr

180 karmajoined 11년 전

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abejfehr
·그저께·discuss
They might be referring to the e-Points system, where hitting targets awards points and you can trade the points in for drones, etc
abejfehr
·8일 전·discuss
isn't that what they're saying with "not both at the same time"? the papers both have opposite signs, one has != and the other has =
abejfehr
·14일 전·discuss
I do this.

I have a gaming PC connected to my living room TV, but sometimes I’m lazy and want to play games from my bed.

My solution is that my bedroom TV has a Steam Deck dock connected, so I take my wireless controller to the bedroom and stream the games there instead.
abejfehr
·18일 전·discuss
Elbow, Eyebrow, Heart’s Content, Heart’s Desire, and Heart’s Delight
abejfehr
·지난달·discuss
This wasn't an option for us because as an org we used their recommended hook (1) to automatically change node versions when switching directories, but it effectively undoes the lazy loading.

With mise you get the behaviour of automatically switching when you change directories effectively for free.

1. https://github.com/nvm-sh/nvm#zsh

Edit: unless you aliased it to `node` or `npm`, which would be fine I guess but super annoying if you ran node or npm commands often. It is not worth the hassle, no one should use nvm in 2026 imo
abejfehr
·지난달·discuss
I'm surprised people are still using nvm, considering it's impact on shell startup time.

I can't recommend switching to mise highly enough: https://mise.en.dev/
abejfehr
·지난달·discuss
I don’t think it did for me. Are you on iOS 26?
abejfehr
·지난달·discuss
I just found the theory referenced on Reddit: https://www.reddit.com/r/KidsAreFuckingStupid/comments/1tsts...
abejfehr
·지난달·discuss
Based on the title I was really hoping to see how this was used for gaming, but they just ran an LLM on it
abejfehr
·지난달·discuss
> ... they won’t want rich people to vote.

I think it might be more than that
abejfehr
·2개월 전·discuss
Yes, I truly believe that GitHub is recommended by an LLM orders of magnitude more frequently than any other forge
abejfehr
·2개월 전·discuss
I think it’s much more than 80%, it’s probably the default recommendation and folks who aren’t technical would just accept it. Probably closer to 95% or more
abejfehr
·2개월 전·discuss
It definitely doesn’t hold true for the average person, I was only thinking of the fittest today.

I’m not sure what it means if we want the average person to be fitter, it seems like we’d have to reinstitute manual labour if that was the goal.

Which is maybe a good analogy for not using AI in the classroom and forcing kids to use their minds
abejfehr
·2개월 전·discuss
I think probably actually. The fittest people back then probably weren't as fit as people today with specialized diets and medical science, and surely those findings were a result of better equipment, which were a result of better tooling to manufacture that equipment.

Introducing a machine to a manufacturing role obviously makes the manufacturer less fit, but it enables society to break through fitness barriers in general

If your point is that it's not orders of magnitude fitter, that's a good one. I don't think people will be much more intelligent in the future than they are today but they'll probably just be more specialized and have deeper knowledge
abejfehr
·2개월 전·discuss
There’s a few sites that do what I think you’re asking for, not navigation though. This is one I’ve used recently: https://shademap.app/
abejfehr
·2개월 전·discuss
I’m pretty sure I heard the same quote at my high school and university graduation ceremonies, and those were many years before AI. It’s a standard way to inspire new grads, right?
abejfehr
·2개월 전·discuss
Reminds me of this short film: https://www.youtube.com/watch?v=mEVl0NS0vu8
abejfehr
·3개월 전·discuss
I don’t know how they know it’s an axolotl and not a newt larva. If it’s the latter it’ll be very jarring when it changes forms later
abejfehr
·3개월 전·discuss
You might find this talk interesting: https://youtu.be/W20t1zCZv8M

It’s one of my favourites
abejfehr
·3개월 전·discuss
There’s a lot of debate about whether this reduces model accuracy, but this is basically Chinese grammar and Chinese vibe coding seems to work fine while (supposedly) using 30-40% less tokens