this is one of those facts i have to struggle to keep to myself to avoid coming off as an insufferable nerd

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i haven’t personally had trouble with that since early 2023, but it depends on your dependencies

i feel like if you’re not sat stationary at a workstation (who is these days) what you want is a laptop that’s good at being a laptop. 99% of the software developers i work with (not a small number) use Macbook Pros. they are well built, have good components, have best in class battery life (we’ll see how things shake out with Qualcomm), and are BSD based and therefore Unix compatible. my servers and gaming/CUDA PC? Linux all day. my laptop? Macbook. i’m not ideological enough to have range anxiety every time i step away from my desk. plus any decent sized org is going to have to administrate these machines, from scientists to administrators, and catering to .4% of your users is not a good ROI if your software vendors struggled for 8 years to get their Windows 98 based specialty sensor software to run on Mac.

that .4% is likely not 0 because they are nerds.

seriously tho if Qualcomm chips can make a Linux book that lasts all day i would happily make the switch

this comment traveled in time from 2001 lol

if a player brought it up as an issue, i’d probably go back on it. i’m an easy DM. i like Rule of Cool, but it’s about everyone having a good time ultimately, whatever that means to them

even though those are rules as written, i like to honor the crits, with a bit of nuance. if you’re super stealthy and roll a 1, maybe it makes a small noise but doesn’t cause an alarm. if you’re dumping strength on your wet noodle wizard, maybe you’re able to move that heavy thing an inch on a 20. it’s always situational though. people get excited to see a crit, and i think it makes it more fun.

i mean, you’re right. i’m just saying it’s a little silly to ship a Python interpreter when there are easier, better supported ways to do the same thing.

looks like tesseract provides C bindings which are probably being utilized in those apps.

no need for Python. there’s a Google SDK, ML Kit, that will do the heavy lifting on this. if that’s not acceptable, TensorFlow, PyTorch, and ONNX support Android, albeit not as nicely integrated.

your image processing pipeline will be imageSource -> RGB encoding -> OCR -> profit. your OCR just needs an RGB encoded image. doesn’t matter if that’s a JPEG or YUV video feed at the source.

as for if there’s an app that fits OP’s exact use case, dunno.

i guess the rare thing is the public commitment, but Apple has generally had a good track record for updates compared to its Android counterparts, who have previously failed to meet their goals or set laughable goals like 2 years.

as big as the circle jerk is here against AI, i think it’s on the whole a good thing if we use it for what it’s actually good at: approximating an answer. but once companies start promising things like security that require 100% accuracy they totally lose me. as someone who has worked on recognition systems i will be opting out so fast to things like facial scan at PoS. it’s not AI because it’s not actually intelligent. you can’t reason with it or change its mind without rigorous training. write some shitty code for me to fix? fine. buy a TV with whatever bs contractor bid the lowest for the facial scanning job? gtfo. startup founders, executives, and managers will promise the moon when they’re so far up their own ass they’ve never even seen it.

IBM then. or, i don’t know, the British Royal Family?

the reality of talking about extremist economics is no one knows how it would work out in the long term. but regardless, if it happened tomorrow we already have a Microsoft to deal with.

“taxation is theft” “wage labour is exploitation”

sometimes things are subtle and complicated and can’t be practically boiled down to absolutes.