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Links 1 through 10 of 2050 Aristotle Pagaltzis's Bookmarks

In proprietary licensing [as practised by Canonical, Ltd], those mistreated under the model are the small business and individual developers who are pressured to give up their copyleft rights lest their patches be rejected or rewritten. The small entities are left to chose between maintaining a fork or giving over proprietary corporate control of the codebase. In RHEL’s business model, by contrast, the mistreated entities are large corporations that are forced to choose between exercising their GPL rights and losing access to the expensive RHEL support.

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As a long-time Apple developer (I’ve been doing this since 1988) I’ve become accustomed to changes in direction, forced rewrites as Apple has adopted or invented new technologies, and sometimes capricious decision making on Apple’s part. As in the past, I’ll deal with what comes my way and work to keep my business healthy, but shutting down a primary traffic source for our web site is going to make things quite a bit more difficult. […] I’m left to reinvent my products and company (again) as they don’t fit Apple’s vision of what a Mac application should be.

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My mom was scared of becoming a zombie, so she asked me to shoot her.

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One of the reasons the iOS App Store is so successful is that app-buying has become a form of casual, routine entertainment for iPhone and iPad owners. We gladly go and browse the App Store even when we don’t “need” anything at the moment, with the intention of going and spending a few bucks on whatever’s new that looks good. This requires a few conditions to be ideal, all of which are true on the iOS App Store: […] Today, on the Mac, almost none of these are true. And if the Mac App Store is only populated by a subset of today’s Mac software, a few key points (such as “Inexpensive”) still won’t be true. This is why I believe that the Mac App Store will be dominated by (and become known for) apps that don’t exist on the Mac today.

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I have, somewhat by accident, discovered a different way to visualise a sorting algorithm: plot points for memory accesses, with address on the X axis and time (counted by accesses) on the Y axis, and different colours for reads and writes. It produces some rather pretty pictures. Note that these are not to scale relative to each other - the Y axis has been compressed to fit the entire sort into a fixed height.

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For a distributed (i.e., multi-node) system to not require partition-tolerance it would have to run on a network which is guaranteed to never drop messages (or even deliver them late) and whose nodes are guaranteed to never die. You and I do not work with these types of systems because they don’t exist.

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