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lol. this is a stone age product comparing to same systems at G,A,F


pay mortgage


good question.


lesson learnt, there is no free lunch. Eating free lunch means you pay back later essentially.


slightly off topic: How facebook uses btrfs:

https://www.linux.com/news/learn/intro-to-linux/how-facebook...



not uncommon in embedded world.lots products are still using ext2. "sync" is definitely required before rebooting ext2 fs. We all know :D


Ted is brilliant


interesting to see Eli as a famous Python lover started to try Clojure.


this kinda thing was well studied and developed nearly 30 years ago already..... Deep leaning, ML are all hypes.


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 substantially more difficult. The algorithm has to figure out sentence structure, punctuation, paragraph breaks, lists, and tons of other features that are hard to train. This problem is still a major research topic academically.

2) As a corollary to (1), while OCR has been around for a while, handwriting OCR has never worked due to (1).

3) Computing power has never been so cheap, training the algorithm would have been very expensive before AWS / Azure / etc abstracted hardware and made it inexpensive


Without any links or proof, this is a low value comment.


Do you need links or proofs if I tell you the sky is blue ? OCR has been around for decades. This approach is only interesting if it improves OCR via NN. Would love to learn more about this process (the improvement, not the training...).


such a sad story.


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