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stereotactic

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who at that moment—one of those wrong and shapeless moments which dog the tragic—was heading out the door to fetch her mother-in-law from the airport. “Things are pretty bad,” Kees said, adding, “I may go to Mexico. To stay.”
On January 22nd of that final year, he and a few kindred spirits had put together an event called “Poets’ Follies,” a mishmash of readings, music, and dance. It was poised, like so many Keesian schemes, between old and new, a rickety fusion of post-twenties burlesque and pre-sixties art happening. Kees read some of his work, as did a local poet by the name of Lawrence Ferling.
Kees had met her because he and Grieg ran a weekly radio broadcast on KPFA, out of Berkeley, called “Behind the Movie Camera,” on which Kael had become a regular guest. Movies were one of Kees’s passions: he had worked on newsreels in the nineteen-forties and had recently, in one of his loftier schemes, mooted the idea of a new production studio.

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Though the U.S. military was the original customer for DARPA’s applications, the agency’s advances have played a central role in creating a host of multibillion-dollar industries.
We disagree. We led DARPA from mid-2009 until mid-2012. Since then, we have been implementing the agency’s model of innovation in a new organization—the Advanced Technology and Projects (ATAP) group at Motorola Mobility, which was acquired by Google in May 2012.
The support staff comprises only 120 people in finance, contracting, HR, security, and legal.
Arguably, it has the longest-standing, most consistent track record of radical invention in history
Our purpose is to demonstrate that DARPA’s approach to breakthrough innovation is a viable and compelling alternative to the traditional models common in large, captive research organizations.
What makes DARPA’s long list of accomplishments even more impressive is the agency’s swiftness, relatively tiny organization, and comparatively modest budget

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Certainly, hedge fund Elliott Management must not be pleased with the turn of events.

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Consuming gives you the illusion of understanding. I make those concepts my own by producing something. A blog post, a slide deck, an illustration helps me to contextualize what I learned. Consuming and producing is like four blind men trying to grasp what an elephant is. Each has his model of the elephant, which is not a comprehensive picture. I share whatever I produced with others and seek their feedback. I triangulate my opinion. With the comments given by others, I can make a complete picture, at least closer to it.

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Elsevier have been borging up many of the better options, including SSRN, Bepress, and Mendelay. This is an absolute show-stopper. Zotero seems to be among the more useful tools, though I haven't been able to wrap my head around its organising principles yet. This is unfortunate.

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I'm about 98.2331% certain that copyright has a major share of the blame, as an effective system for dealing with digitised documents would all but certainly have to involve duplicating and reverse-engineering them in multiple regards. My solution to the HTML / PDF / ePub, etc., document formats is to recompose them as some minimally sufficient document format (often Markdown, occasionally more advanced formats, with LaTeX being nearly always sufficient). This has resulted in a significant detour through questions concerning typography and just what a document is, though in a huge fraction of cases, there's little reason to go beyond paragraphs, the occasional italic/bold emphasis, and section or chapter markings.
I think it's worth thinking really hard why we're in this state, especially since computing pioneers were actually very optimistic that data and computing would be way more personally malleable than it is now(I've been working on a small comic on this theme myself[2]). For example, check out this short demo[3] of Smalltalk where Alan Kay hooks up a single frame from an animation of a bouncing ball to a painting program, to modify that one frame while also monitoring the loop. Smarter than paper, but way more flexible.

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TLDR: when I read I try to read actively, which for me mainly involves using various tools to annotate content: highlight and leave notes as I read. I've programmed data providers that parse them and provide nice interface to interact with this data from other tools. My automated scripts use them to render these annotations in human readable and searchable plaintext and generate TODOs/spaced repetition items. In this post I'm gonna elaborate on all of that and give some motivation, review of these tools (mainly with the focus on open source thus extendable software) and my vision on how they could work in an ideal world. I won't try to convince you that my method of reading and interacting with information is superior for you: it doesn't have to be, and there are people out there more eloquent than me who do that. I assume you want this too and wondering about the practical details.
Mind that free version of Instapaper has got 5 notes per month limit. Personally I'm happy to pay 3$ per month for premium version of such a decent product though in absence of good alternatives. Instapaper got Json API, through which you can access your saved articles, comments and highlights. I'm using a fork of python wrapper to access it. Highlights are only stored as text though (as opposed to CSS/xpath locators), so there is no easy way to match them against original text apart from some sort of fuzzy search.
won't really write much about it for one reason which is a big deal: while you can highlight text, you can't leave notes. Nearest functionality is 'recommending' a highlight while reading a comment, but that's only displayed on your 'timeline'. Pocket API doesn't support exporting highlights too, or to be precise it seems to be hidden. If you need it you can use my script where I hacked around it