Drawing things on the screen @Rayonapp

Romania
Joined January 2022
If there's one thing I've learned after performing OCR on a huge corpus, it's that "classic" OCR pipelines like Tesseract are NOT fully replaced by VLMs. I've combined PyMuPDF4LLM with Tesseract and it corrected a huge number of mistakes from the VLM. Both have their advantages.
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In my case I used Mistral OCR 4.1. I suspect it's a VLM but obviously I don't know for sure.
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IMO people saying the decision endpoint announced by OpenAI recently kills Jev are missing this point. 100% synthetic data is no joke, I'm not convinced frontier AI labs have anything equivalent.
Replying to @badlogicgames
you might be the first person talking about the data over the architecture! 🥲 we consider ourselves a data research lab! the vast vast vast majority of research was on making data that is truly general (ala a cognitive core) and 100% of our data is synthetic (but not the type of crap that is just spit out from an LLM obviously)
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The price and latency also make me think that it's impossible to replicate without the same data quality.
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Either way, competition is good. I just wish we'll get the research around how they generate the data at some point. It's super intriguing.
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Intelligence is solved, human beings are not. Fix incoming.
We could have all woken up to “OpenAI and Anthropic team up, solve Navier-Stokes cleanly, fully formalized but also here is a nice explanation by Tao, here’s how we can all happily improve math together” but alas, the world does not yet work that way.
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Alexandru Ică retweeted
Eurora Desktop already has the context. No copy and paste. No context-setting. No explaining. Just ask. One assistant. Every browser on every desktop across macOS, Windows and Linux. Articles. Videos. Docs. Threads. Just ask away
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Great post on spectral rendering, and a wonderful blog in general: momentsingraphics.de/Spectra…
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Alexandru Ică retweeted
The write-up of my new graph layout algorithm for SpiderMonkey is now live. We built a custom layout algorithm for JS and WASM that follows the structure of the source code. No more spaghetti nightmares from Graphviz, and thousands of times faster.
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One thing I love about digging into rabbit holes such as PDF parsing is stumbling upon phrases like "schizophrenic PDF files".
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The source is a highly interesting read: hal.science/hal-02143706/fil…
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Fun fact: new ICC profiles can contain embedded programs in them that specify color space transforms. All operators describe operations performed on the stack, à la Forth.
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"calculatorElement" and Annex F in this doc: color.org/specification/ICC.…
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The code for computing winding for a quadratic Bézier can be simplified a lot by dealing with monotonic quadratics only. Testing if a sample lies to the left/right of the curve becomes extremely cheap in that case.
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"Quadratic Approximation of Cubic Curves" contains a neat method of representing one cubic Bézier as two C1-continuous quadratics, maintaining tangents at the endpoints. Combining that with a heuristic for how many times to split the source curve gives excellent results.
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I ported my demo to Rust to see if I can make things faster. The goals is to perform queries for arbitrary points and arbitrary vector paths, as fast as possible. I'll try to write everything SIMD-friendly.
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I've implemented non-zero fill for quadratic curves without flattening them. Should be numerically robust but I haven't tested it too thoroughly yet. Very happy with the results so far. Coverage is computed per pixel individually.
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