mlaskin

5 ms·

1. 1.▲
   Reflection – AlphaGo / Gemini team building superintelligent coding agents(reflection.ai)

   26 points by mlaskin 2y ago|18 comments
2. 2.▲
   by mlaskin 2y ago

   Launching Reflection. Our team pioneered major advances in RL and LLMs, including AlphaGo, AlphaZero, and Gemini. We're building superintelligent autonomous systems. Starting with autonomous coding. We believe that solving autonomous c
3. 3.▲
   by mlaskin 6y ago

   website: https://mishalaskin.github.io/curl/ code: https://github.com/MishaLaskin/curl
4. 4.▲
   by mlaskin 9y ago

   Thank you! That's a great suggestion
5. 5.▲
   by mlaskin 9y ago

   Definitely thanks for asking! Traditional OCRs are good at transcribing typed notes (e.g. pdfs) to editable docs, but do poorly with handwriting. The best OCRs I've seen can make a handwritten note searchable (e.g. Evernote) but still
6. 6.▲
   by mlaskin 9y ago

   Fair point :)
7. 7.▲
   by mlaskin 9y ago

   Thanks! I was at LensCrafters the other day and had to fill out a paper form that someone input into a computer by hand, so definitely see the need there. Our goal is to get a high enough accuracy for handwriting OCR to work in enterprise s
8. 8.▲
   by mlaskin 9y ago

   We'll do our best ;)
9. 9.▲
   by mlaskin 9y ago

   Thanks for the catch! We uploaded an updated version of the video here https://youtu.be/gYPWjYDsRyk
10. 10.▲
    by mlaskin 9y ago

    Thanks Brad! It was a great call out and something we should've seen before posting. Appreciate the feedback
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    by mlaskin 9y ago

    Hey! We wanted to show how the product works if notes are delivered instantly - vs. the current 10-30 sec lag time we experience between note being snapped, and the transcribed copy you receive. Definitely didn’t mean for it to put a damper
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    by mlaskin 9y ago

    thanks for the question! It handles that kind of script pretty well, mainly because we had a good amount of training examples from college student handwriting
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    by mlaskin 9y ago

    Thank you for the question! Currently, it's a combination of the two, mainly because people often take notes hastily so word-based recognition coupled with spell check allow you to fix things on the fly. However, this also results in
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    by mlaskin 9y ago

    Thanks for commenting! Adding digital handwriting support is a great idea. I actually think other companies do it pretty well, which is why we didn't go down that route. The reason is that they use a different type of algorithm that le
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    by mlaskin 9y ago

    Good call out, we'll edit the video description
16. 16.▲
    by mlaskin 9y ago

    Yep, that's fair. We staged the google doc bc there is still a 10-30 sec lag time in sending the note out, we'll fix it up. Thank you for the call out!
17. 17.▲
    by mlaskin 9y ago

    Thank you for commenting! ML / NN have been around for a while, but there are a few reasons Scribble is only possible now: 1) Although classifying MNIST digits is the "hello world" of ML, doing the same with notes is substant
18. 18.▲
    by mlaskin 9y ago

    Thank you! Really appreciate your support
19. 19.▲
    by mlaskin 9y ago

    Scribble doesn't transcribe hand drawn figures yet. I used to be a physics student and always had to draw plots / equations by hand, so it's definitely a feature I would love to see as well
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    by mlaskin 9y ago

    great suggestion! We love Rocketbook
21. 21.▲
    by mlaskin 9y ago

    not yet
22. 22.▲
    by mlaskin 9y ago

    Thank you for the comment! We don't have a developer facing API at the moment but it's in the roadmap. Once our algorithm is accurate enough that it "just works" in an enterprise setting, we may open up an API so develop
23. 23.▲
    by mlaskin 9y ago

    We did two things to train it (1) scraped the web for photographs of handwritten notes with known transcription to build our training dataset (2) had our university friends / students write out training examples by hand to get more rea
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    by mlaskin 9y ago

    Thank you for the comment! We don't have a developer facing API at the moment but it's in the roadmap. Once our algorithm is accurate enough that it "just works" in an enterprise setting, we may open up an API so develop
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    by mlaskin 9y ago

    That's a great question. It currently happens in the cloud (purely a software design decision), but we could probably do it locally as well since the NN is already trained. We were thinking of having similar TOS as normal note editing
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    by mlaskin 9y ago

    Thanks for the comment! We had the same use case when we decided to build it. It's currently not perfect but handles a surprising amount of bizarre handwriting styles (cursive / messy notes). Looking forward to hearing your though
27. 27.▲
    by mlaskin 9y ago

    Thanks! Agreed re: Evernote. I actually really like that feature, because it makes handwritten notes searchable but found the same problem you identified with the lack of transcription. My hope is we can integrate with players like Evernote
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    by mlaskin 9y ago

    Thanks for the comment! The algorithm works on a large variety of handwriting (currently only support English). It's a NN that was trained on ~100k different handwriting examples, and it's pretty robust to cursive / sloppy ha
29. 29.▲
    Scribble – Convert handwriting into digital text(getscribblenow.com)

    58 points by mlaskin 9y ago|63 comments