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	<title>Comments on: How many minds produce knowledge (and how they don’t)</title>
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	<link>http://metamodern.com/2009/12/11/review-of-infotopia/</link>
	<description>The Trajectory of Technology</description>
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		<title>By: Incentive engineering v. Econ 101 &#160;&#160; (creativity, criminality, etc.)</title>
		<link>http://metamodern.com/2009/12/11/review-of-infotopia/comment-page-1/#comment-3279</link>
		<dc:creator>Incentive engineering v. Econ 101 &#160;&#160; (creativity, criminality, etc.)</dc:creator>
		<pubDate>Wed, 07 Apr 2010 21:41:17 +0000</pubDate>
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		<description>[...] How many minds produce knowledge (and how they don’t)    &#160;&#160;  Subscribe [...]</description>
		<content:encoded><![CDATA[<p>[...] How many minds produce knowledge (and how they don’t)    &nbsp;&nbsp;  Subscribe [...]</p>
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		<title>By: Michael Nielsen</title>
		<link>http://metamodern.com/2009/12/11/review-of-infotopia/comment-page-1/#comment-2283</link>
		<dc:creator>Michael Nielsen</dc:creator>
		<pubDate>Mon, 14 Dec 2009 22:48:31 +0000</pubDate>
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		<description>The LSST data is, I believe, on a slightly smaller scale than the LHC.  So it should be quite manageable with the technology of 5-6 years from now.</description>
		<content:encoded><![CDATA[<p>The LSST data is, I believe, on a slightly smaller scale than the LHC.  So it should be quite manageable with the technology of 5-6 years from now.</p>
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		<title>By: Eric Drexler</title>
		<link>http://metamodern.com/2009/12/11/review-of-infotopia/comment-page-1/#comment-2282</link>
		<dc:creator>Eric Drexler</dc:creator>
		<pubDate>Mon, 14 Dec 2009 22:05:25 +0000</pubDate>
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		<description>...and, of course, all the [biosomething]-omics, where the date sets are not only large, but also extraordinarily interrelated because they describe functional elements of highly integrated systems.

Re. Kryder’s Law, I was reflecting the other day on a recent purchase — a disk drive with a million times the capacity of the first one I’d bought (and less expensive, too). As you note, this exponential progress has been a major enabler of the new large-dataset science. I’ve heard that plans for the data storage and processing system for the &lt;a href=&quot;http://en.wikipedia.org/wiki/Large_Synoptic_Survey_Telescope&quot; rel=&quot;nofollow&quot;&gt;Large Synoptic Survey Telescope&lt;/a&gt;  assume continued exponential progress between now and its 2015 completion date.</description>
		<content:encoded><![CDATA[<p>&#8230;and, of course, all the [biosomething]-omics, where the date sets are not only large, but also extraordinarily interrelated because they describe functional elements of highly integrated systems.</p>
<p>Re. Kryder’s Law, I was reflecting the other day on a recent purchase — a disk drive with a million times the capacity of the first one I’d bought (and less expensive, too). As you note, this exponential progress has been a major enabler of the new large-dataset science. I’ve heard that plans for the data storage and processing system for the <a href="http://en.wikipedia.org/wiki/Large_Synoptic_Survey_Telescope" rel="nofollow">Large Synoptic Survey Telescope</a>  assume continued exponential progress between now and its 2015 completion date.</p>
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		<title>By: Patrick</title>
		<link>http://metamodern.com/2009/12/11/review-of-infotopia/comment-page-1/#comment-2273</link>
		<dc:creator>Patrick</dc:creator>
		<pubDate>Sat, 12 Dec 2009 17:01:20 +0000</pubDate>
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		<description>Hmmm...I&#039;ll have to check this out. What it brings to mind for me is another recent book called The 4th Paradigm which raises the question of how researchers will (or won&#039;t) deal with the ever larger data sets that have become available (Kryder&#039;s Law gets far less notice than Moore&#039;s observation) via new instruments and new data collection techniques. I have a good sense of this for astronomy but wonder what happens with topics such as climate change or computational chemistry.</description>
		<content:encoded><![CDATA[<p>Hmmm&#8230;I&#8217;ll have to check this out. What it brings to mind for me is another recent book called The 4th Paradigm which raises the question of how researchers will (or won&#8217;t) deal with the ever larger data sets that have become available (Kryder&#8217;s Law gets far less notice than Moore&#8217;s observation) via new instruments and new data collection techniques. I have a good sense of this for astronomy but wonder what happens with topics such as climate change or computational chemistry.</p>
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