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Cake day: March 3rd, 2024

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  • this is my most controversial take in computing in general:

    i’ve always hated the browser. the reason there are only a few working browser engines is that HTTP and the HTML/CSS/JS tech stack is a gigantic pile of tech debt, and even using Chromium and Firefox you run into edge cases where, for certain edge cases, they don’t always follow the specs as defined in these ancient RFCs. and these specs: why tf are they treated as gospel? which software product specs drafted 50 years ago get this kind of reverence? why is it that other GUIs have had tons of iteration, not just of their spec but their full stack implementation (Wayland, .NET, Kotlin Compose, SwiftUI, etc), but we’re all just fine with this mess of janky boomer protocols cuz it lets startups get to market faster? why is downloading an entire app (less some caching) every time you want to use it feel less cumbersome than installing something native to the runtime environment where the protocols can be tightly controlled by the developer and not subject to whatever security and storage protocols whatever browser implementation decides is good for you? cookies? really? the browser should be reimagined with a tighter set of protocols that allow you to look at brochure sites and download content, ie apps. even the best web apps are a janky mess and have never worked better than properly developed desktop GUI. /rant









  • chrash0@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    1 month ago

    i doubt the recent uptick in traffic is from “stealing data” for training but rather from agents scraping them for context, eg Edge Copilot, Google’s AI search, SearchGPT, etc.

    poisoning the data will likely not help in this situation since there’s a human on the other side that will just do the same search again given unsatisfactory results. like how retries and timeouts can cause huge outages for web scale companies, poisoning search results will likely cause this type of traffic to increase and further increase the chances of DoS and higher bandwidth usage.








  • chrash0@lemmy.worldtoAndroid@lemmy.worldbest foss app for OCR?
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    11 months ago

    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.