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    <title>Pinboard (Vaguery)</title>
    <link>https://pinboard.in/u:Vaguery/public/</link>
    <description>recent bookmarks from Vaguery</description>
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      <rdf:Seq>	<rdf:li rdf:resource="https://habr.com/en/post/440914/"/>
	<rdf:li rdf:resource="https://garybasin.com/thinking-toys/"/>
	<rdf:li rdf:resource="https://status451.com/2018/06/18/tales-from-underwater/"/>
	<rdf:li rdf:resource="https://www.americanscientist.org/blog/macroscope/scientists-must-challenge-what-makes-studies-scientific"/>
	<rdf:li rdf:resource="https://arxiv.org/abs/1703.07915"/>
	<rdf:li rdf:resource="https://niskanencenter.org/blog/defense-liberty-cant-without-identity-politics/"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1609.04946"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1609.04947"/>
	<rdf:li rdf:resource="http://arxiv.org/abs/1410.3353"/>
	<rdf:li rdf:resource="http://www.lornebair.com/blog/the-van/and-so-it-begins/"/>
	<rdf:li rdf:resource="http://www.earthwidemoth.com/mt/archives/001502.html"/>
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  </channel><item rdf:about="https://habr.com/en/post/440914/">
    <title>I lost faith in the industry, burned out, but the cult of the tool saved me / Habr</title>
    <dc:date>2019-02-23T12:18:43+00:00</dc:date>
    <link>https://habr.com/en/post/440914/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[I don’t know what’s the deal — if F# is a monumentally awesome technology, or if it simply fits me perfectly, or if it’s created for these tasks specifically — what’s the difference? What’s important is at that moment I was sinking and I needed a lifeboat. Life threw me F# and I pulled out of it. Now it’s not just another soulless technology to me — it’s a huge emotional deal.

Now, when I hear someone scold F# — “A stillborn tech! A geek toy…” — I always remember the cold winter night, the burning car, the cigarette frozen in my mouth, depression and F# that pulled me out of it. It’s as if someone threw shit at my best friend. 

It might look strange to an outsider, but if you lived that day in my place, you would’ve reacted the same. I think that’s common in any technology cultist. They fell in love with their languages, because they have an emotional attachment to the circumstances that made them discover it. And then I come and spit right into their soul. Who’s the idiot now? I am. I won’t do it again, I hope.
]]></description>
<dc:subject>introspection the-mangle-in-practice representation the-unruly-body-of-the-programmer via:perturbations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f407ba2f1a79/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-mangle-in-practice"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-unruly-body-of-the-programmer"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:via:perturbations"/>
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<item rdf:about="https://garybasin.com/thinking-toys/">
    <title>Thinking Toys – Gary Basin's words</title>
    <dc:date>2018-10-27T12:16:59+00:00</dc:date>
    <link>https://garybasin.com/thinking-toys/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[My mind seems to mostly act as an emotional problem-solving machine. It’s trying to find paths to get to pleasure and avoid pain. Of course, this often requires solving abstract problems, as well. Watching myself, and others, identify and solve problems suggests the existence of underlying patterns. There seem to be recurring strategies. Some simple and some compound. Some that an individual may use almost every time and others that rarely come up. There are strategies that seem obvious to one person and remain unheard of to others. Sometimes we deploy these strategies consciously but often they seem to run unconsciously.

I call these strategies Thinking Toys. Little tricks we can pick up, play with for a moment, and then throw aside as we move on. Using a toy more often seems to make it more accessible. We also learn more of its nuances — we improve at using it. I’m trying to explicate as many of these as I can. Eventually, I want to categorize them and try to understand how they relate to each other.

See if any of these are interesting to you. Some will be familiar and obvious, whereas others may feel strange and alien.
]]></description>
<dc:subject>introspection mental-health exercises kata rather-interesting</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d90dc29e9551/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:introspection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:mental-health"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:exercises"/>
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<item rdf:about="https://status451.com/2018/06/18/tales-from-underwater/">
    <title>Tales from Underwater | Status 451</title>
    <dc:date>2018-10-14T12:18:29+00:00</dc:date>
    <link>https://status451.com/2018/06/18/tales-from-underwater/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[“If you’re wondering whether it feels a little weird to have had someone you don’t clearly remember being make potentially life-altering decisions about you, the answer is yes.”]]></description>
<dc:subject>essay depression cognition the-mangle-is-coming-from-inside-the-house philosophy introspection resonant identifiable-in-the-extreme</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:d784d5e60723/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:essay"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:the-mangle-is-coming-from-inside-the-house"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy"/>
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<item rdf:about="https://www.americanscientist.org/blog/macroscope/scientists-must-challenge-what-makes-studies-scientific">
    <title>Scientists Must Challenge What Makes Studies Scientific | American Scientist</title>
    <dc:date>2017-08-27T13:38:46+00:00</dc:date>
    <link>https://www.americanscientist.org/blog/macroscope/scientists-must-challenge-what-makes-studies-scientific</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[There is a strange contradiction among scientists: Science is supposedly about asking questions, except about scientists and how science is done. Although research in the philosophy, history, sociology, and anthropology of science has gone on in earnest for decades, very few if any of the results are integrated into science education and therefore science practice. Scientists may not see how a subject like sociology or anthropology applies to their technical work, but science doesn’t happen in a vacuum apart from society. Indeed, scientists are acting against science when they do not acknowledge the history, philosophy, and sociology of their fields, demanding instead that people accept their research results without question.
]]></description>
<dc:subject>science introspection essay philosophy-of-science the-mangle-in-practice to-write-about history-is-a-feature-not-a-bug</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ab98c51fe372/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:science"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:essay"/>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:to-write-about"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:history-is-a-feature-not-a-bug"/>
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<item rdf:about="https://arxiv.org/abs/1703.07915">
    <title>[1703.07915] Perspective: Energy Landscapes for Machine Learning</title>
    <dc:date>2017-05-07T12:18:20+00:00</dc:date>
    <link>https://arxiv.org/abs/1703.07915</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Machine learning techniques are being increasingly used as flexible non-linear fitting and prediction tools in the physical sciences. Fitting functions that exhibit multiple solutions as local minima can be analysed in terms of the corresponding machine learning landscape. Methods to explore and visualise molecular potential energy landscapes can be applied to these machine learning landscapes to gain new insight into the solution space involved in training and the nature of the corresponding predictions. In particular, we can define quantities analogous to molecular structure, thermodynamics, and kinetics, and relate these emergent properties to the structure of the underlying landscape. This Perspective aims to describe these analogies with examples from recent applications, and suggest avenues for new interdisciplinary research.
]]></description>
<dc:subject>machine-learning introspection rather-interesting fitness-landscapes energy-landscapes visualization to-write-about consider:performance-measures algorithms feature-construction</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:adc34082adce/</dc:identifier>
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<item rdf:about="https://niskanencenter.org/blog/defense-liberty-cant-without-identity-politics/">
    <title>The Defense of Liberty Can’t Do Without Identity Politics - Niskanen Center</title>
    <dc:date>2016-12-17T15:20:20+00:00</dc:date>
    <link>https://niskanencenter.org/blog/defense-liberty-cant-without-identity-politics/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Black Lives Matter has provided the first truly large-scale political mobilization against police violence and mass incarceration since the War on Drugs began. It’s perfectly true that many liberal (very much including libertarian) scholars and analysts have been calling for reform of police practices, an end to police militarization and civil forfeiture abuse, respect for civil liberties, and drug decriminalization or legalization for a long time. It’s true that it’s possible to offer those analyses in a race-neutral way. But given that the policies aren’t race-neutral, it shouldn’t surprise us that opposition to them isn’t either, and that the real political energy for mobilizing against them would be race-conscious energy.

If Black Lives Matter is “identity politics,” then identity politics has provided one of the most significant political mobilizations in defense of freedom in the United States in my lifetime. That doesn’t belong on the “to be sure” exception side of a rule that is driven by the politics of gender pronouns. It’s precisely the other way around.

If there is any feature of identity politics that has triggered a political backlash, I think it is far less likely to be gendered pronouns or the more exotic extremes of campus politics that Soave covers on a regular basis, and far more likely to be the high-profile Black Lives Matter. But on any plausible account of political action and political change—something liberals have sometimes lacked—the political energy provided by BLM is sure to be vital to any effective long-term solutions to the policing and incarceration crises.

]]></description>
<dc:subject>politics identity-politics introspection</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:422f45347ef4/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:introspection"/>
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</item>
<item rdf:about="http://arxiv.org/abs/1609.04946">
    <title>[1609.04946] Robot Contact Task State Estimation via Action Grammars</title>
    <dc:date>2016-09-20T13:12:12+00:00</dc:date>
    <link>http://arxiv.org/abs/1609.04946</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Uncertainty is a major difficulty in endowing robots with autonomy. Robots often fail due to unexpected events. In robot contact tasks are often design to empirically look for force thresholds to define state transitions in a Markov chain or finite state machines. Such design is prone to failure in unstructured environments, when due to external disturbances or erroneous models, such thresholds are met, and lead to state transitions that are false-positives. The focus of this paper is to perform high-level state estimation of robot behaviors and task output for robot contact tasks. Our approach encodes raw low-level 3D cartesian trajectories and converts them into a high level (HL) action grammars. Cartesian trajectories can be segmented and encoded in a way that their dynamic properties, or "texture" are preserved. Once an action grammar is generated, a classifier is trained to detect current behaviors and ultimately the task output. The system executed HL state estimation for task output verification with an accuracy of 86%, and behavior monitoring with an average accuracy of: 72%. The significance of the work is the transformation of difficult-to-use raw low-level data to HL data that enables robust behavior and task monitoring. Monitoring is useful for failure correction or other deliberation in high-level planning, programming by demonstration, and human-robot interaction to name a few.
]]></description>
<dc:subject>robotics representation introspection philosophy-of-engineering rather-interesting machine-learning nudge-targets to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:f5d42df36d6d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:robotics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:representation"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:introspection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:philosophy-of-engineering"/>
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</item>
<item rdf:about="http://arxiv.org/abs/1609.04947">
    <title>[1609.04947] Robot Introspection via Wrench-based Action Grammars</title>
    <dc:date>2016-09-20T13:11:23+00:00</dc:date>
    <link>http://arxiv.org/abs/1609.04947</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Robotic failure is all too common in unstructured robot tasks. Despite well designed controllers, robots often fail due to unexpected events. How do robots measure unexpected events? Many do not. Most robots are driven by the senseplan- act paradigm, however more recently robots are working with a sense-plan-act-verify paradigm. In this work we present a principled methodology to bootstrap robot introspection for contact tasks. In effect, we are trying to answer the question, what did the robot do? To this end, we hypothesize that all noisy wrench data inherently contains patterns that can be effectively represented by a vocabulary. The vocabulary is generated by meaningfully segmenting the data and then encoding it. When the wrench information represents a sequence of sub-tasks, we can think of the vocabulary forming sets of words or sentences, such that each subtask is uniquely represented by a word set. Such sets can be classified using statistical or machine learning techniques. We use SVMs and Mondrian Forests to classify contacts tasks both in simulation and in real robots for one and dual arm scenarios showing the general robustness of the approach. The contribution of our work is the presentation of a simple but generalizable semantic scheme that enables a robot to understand its high level state. This verification mechanism can provide feedback for high-level planners or reasoning systems that use semantic descriptors as well. The code, data, and other supporting documentation can be found at: this http URL
]]></description>
<dc:subject>introspection robotics rather-interesting philosophy-of-engineering learning-by-watching nudge-targets consider:representation to-write-about</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:bc60f5814546/</dc:identifier>
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<item rdf:about="http://arxiv.org/abs/1410.3353">
    <title>[1410.3353] Ab-Initio Molecular Dynamics Acceleration Scheme with an Adaptive Machine Learning Framework</title>
    <dc:date>2015-12-08T14:37:33+00:00</dc:date>
    <link>http://arxiv.org/abs/1410.3353</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Quantum mechanics based ab-initio molecular dynamics (MD) simulation schemes offer an accurate and direct means to monitor the time-evolution of materials. Nevertheless, the expensive and repetitive energy and force computations required in such simulations lead to significant bottlenecks. Here, we lay the foundations for such an accelerated ab-initio MD approach integrated with a machine learning framework. The proposed algorithm learns from previously visited configurations in a continuous and adaptive manner on-the-fly, and predicts (with chemical accuracy) the energies and atomic forces of a new configuration at a minuscule fraction of the time taken by conventional ab-initio methods. Key elements of this new accelerated ab-initio MD paradigm include representations of atomic configurations by numerical fingerprints, the learning algorithm, a decision engine that guides the choice of the prediction scheme, and requisite amount of ab-initio data. The performance of each aspect of the proposed scheme is critically evaluated for Al in several different chemical environments. This work can readily be extended to address non-elemental compounds, and has enormous implications beyond ab-initio MD acceleration. It can also lead to accelerated structure and property prediction schemes, and accurate force-fields.
]]></description>
<dc:subject>modeling rather-interesting model-fusion metamodeling simulation algorithms heuristics nudge-targets approximation introspection</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:ab294d866ce3/</dc:identifier>
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</item>
<item rdf:about="http://www.lornebair.com/blog/the-van/and-so-it-begins/">
    <title>Minivan of the Revolution » Blog Archive » And So It Begins</title>
    <dc:date>2011-11-26T18:01:14+00:00</dc:date>
    <link>http://www.lornebair.com/blog/the-van/and-so-it-begins/</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA["And yet, here I am. Fifty years old, irredeemably a bookseller, and more happy than if I’d…if I’d what? Well, than if I’d just about anything, I suppose. I’ll put it this way – if I were to win the lottery tomorrow, the only thing that would change would be the quality of my inventory. I just can’t imagine doing anything else. Even in those moments of blankest regret, when all the bills come due at once and my stock looks like it could have been chosen at random by a blind, crack-addicted three-year-old; when the office hasn’t been cleaned in a month and the coffee jitters set in because I forgot to eat my breakfast which is still sitting cold on the kitchen counter six hours later; when the phone rings and it’s some flea-market guy asking to “pick my brain” about a “real old book” he found buried in cowshit in his granddaddy’s barn; even when I get home after a house buy and realize that every book I just overpaid for smells irretrievably of cat piss…even then, I can only imagine one way forward: more books. And then, more books after that and, for dessert, more books. More books. More books. More books."]]></description>
<dc:subject>bibliomania bookseller introspection generalism</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:Vaguery/b:a8eaa633a5b2/</dc:identifier>
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	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:introspection"/>
	<rdf:li rdf:resource="https://pinboard.in/u:Vaguery/t:generalism"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.earthwidemoth.com/mt/archives/001502.html">
    <title>Earth Wide Moth: Attention Plateaus</title>
    <dc:date>2007-03-05T13:30:17+00:00</dc:date>
    <link>http://www.earthwidemoth.com/mt/archives/001502.html</link>
    <dc:creator>Vaguery</dc:creator><description><![CDATA[Punctuated attentiveness
]]></description>
<dc:subject>worklife cognition introspection</dc:subject>
<dc:identifier>https://pinboard.in/u:Vaguery/b:7508f44140c9/</dc:identifier>
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