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Sublime Text 2 ships with a CLI called subl (why not "sublime", go figure). This utility is hidden in the following folder (assuming you installed Sublime in /Applications like normal folk. If this following line opens Sublime Text for you, then bingo, you're ready.
open /Applications/Sublime\ Text\ 2.app/Contents/SharedSupport/bin/subl
I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.
I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real
The latest version of my ‘killer contract’ for web designers and developers
When times get tough and people get nasty, you’ll need more than a killer smile. You’ll need a killer contract.
Used by 1000s of designers and developers
Clarify what’s expected on both sides
Helps build great relationships between you and your clients
Plain and simple, no legal jargon
Customisable to suit your business
Used on countless web projects since 2008
Google Glass has a series of Labs experiments that can be enabled on engineering or userdebug builds. Using APKTool, I've removed that restriction and now they can be enabled with root access.
To start, for example, the SOUND_SEARCH lab, type in a root shell
Sample BigQuery queries for the HTTP Archive dataset.
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This is an AI/Cognitive Science reading list from discussions at RobotsConf 2013. Please add to this list in the comments. Bonus point if all y'all keep 'em in chronological order. I'll update the master list later today! (Saturday December 7th 2013) Format: { Title }
{ Year_of_Publication }
{ Amazon_Link }
{ Short_Description}
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Great pop-cogsci book on Kurzweil's pattern recognition theory of mind. AI concepts such as hierarchal-hidden-markov-models and neural nets are discussed.
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