I wonder if they'll go with "toploaders" - like Backblaze Storage Pods - later. They have better density and faster setup, as they don't have to screw in every drive.
They got used drives. I wonder if they did any testing? I've gotten used drives that were DOA, which showed up in tests - SMART tests, short and long, then writing pseudorandom data to verify capacity.
I attempted OCR, and while it's not great, it's a start. I considered adding a reference to "software wants to be free!" or the Open Letter, but I'm winding down for the night. https://github.com/pronoiac/altair-basic-source-code
I've worked on PAIP, Paradigms of Artificial Intelligence Programming, and I might be able to help you a bit. It's around 1k pages long. I used Pandoc to generate an epub file, and then Calibre to turn that into a PDF file. I just tried using Pandoc to generate the PDF file directly, and it/LaTeX choked on some Unicode characters.
For internal ebook links, there's a Lua script. You'll have to keep anchors unique across the book for this:
* good: "chapter1#section1_1" and "chapter2#section2_1"
* bad: a "chapter1#section1" and a "chapter2#section1"
I've worked on PAIP, and I think the GitHub.com version - https://github.com/norvig/paip-lisp/ - gets more attention than the GitHub.io version linked here. The GitHub.io version automatically gets updates, I think, but I'm not verifying the Markdown works over there.
I made a high-quality scan of PAIP (Paradigms of Artificial Intelligence Programming), and worked on OCR'ing and incorporating that into an admittedly imperfect git repo of Markdown files. I used Scantailor to deskew and do other adjustments before applying Tesseract, via OCRmyPDF. I wrote notes for some of my process over at https://github.com/norvig/paip-lisp/releases/tag/v1.2 .
> The compression was trivial: store a suffix preceded by one byte that contained the length of the prefix that the word shared with its predecessor in dictionary order.
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