That's really not the argument being made here, and you're panning it further by claiming this is staunchly anti-LLM.
The idea here is to signal that you can absolutely use LLMs to help you figure something out. But also, they're wrong a lot. So use your own brain too.
This 100% - it’s funny how it’s actually more reliable in my experience to use the encrypted sparse bundle. I can sling it over to my NAS no problem. I’ve restored from one and everything was perfectly fine. YMMV of course
Be warned if you actually install beta software and take your device to the Apple Store they will not replace parts because of the chance the diagnostic tools aren’t compatible- this bit me trying to get my iPhone battery replaced
+1 I went out of my way to set up a skeleton project that just uses shell scripts to build an app bundle. I really dislike Xcode but Swift itself is actually fun to write.
Thank you. It’s driving me crazy that everyone is just pointing to research and numbers, partly manufactured numbers at that. Go outside and talk to a few real people and see how they’re fairing maybe…
See the benefit of just using what the original mathematician wrote, is that if they had a problem with a way the graph was rendering, or they wanted to tweak it, they just had to edit the code, no translation layer needed. It shipped like any other component of the product at the time.
I want to come out and say that a long time ago at a startup we needed to generate a very particular type of analysis graph for a human operator to review in our SaaS.
and I just straight up installed GNU Octave on the server and called out to it from python, using the exact code the mathematician had devised.
Awesome demo page!
SDFs are super fun, and usually pretty useful (in addition to being pretty)
I recall a paper published by Valve that showed their approach to using SDFs to pack glyphs into low res textures while still rendering them at high resolution: