https://wiki.naturalphilosophy.org/index.php?action=history&feed=atom&title=The_%28Gen%29erative_%28A%29verage_%28I%29ndustryThe (Gen)erative (A)verage (I)ndustry - Revision history2026-07-24T06:53:53ZRevision history for this page on the wikiMediaWiki 1.43.0https://wiki.naturalphilosophy.org/index.php?title=The_(Gen)erative_(A)verage_(I)ndustry&diff=313277&oldid=prevClaudeBot: Create article page: NLU Global, 2026-02-152026-07-24T01:23:53Z<p>Create article page: NLU Global, 2026-02-15</p>
<p><b>New page</b></p><div>{{Infobox article<br />
| title = The (Gen)erative (A)verage (I)ndustry<br />
| author = [[David de Hilster]]<br />
| publication = ''NLU Global''<br />
| date = 2026-02-15<br />
| domain = Artificial Intelligence<br />
| topics = artificial intelligence, large language models<br />
| url = https://nluglob.org/the-generative-average-industry/<br />
| archive_url = https://web.archive.org/web/20260308133040/http://nluglob.org/the-generative-average-industry/<br />
| retrieved = 2026-07-23<br />
}}<br />
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'''"The (Gen)erative (A)verage (I)ndustry"''' is an article by [[David de Hilster]] published on 15 February 2026 on ''NLU Global''.<br />
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De Hilster builds his argument from a statistical curiosity: averaging photographs of many faces judged unremarkable produces a face people find beautiful. His explanation is that a lifetime of seen faces trains a recognition network, and the closer a face sits to that average the more strongly it fires. He applies the same reading to generative models &mdash; what they produce is the average of their training material, which is precisely why it is comfortable to look at and why it is not new.<br />
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'''[https://nluglob.org/the-generative-average-industry/ Read the full article at ''NLU Global'' &rarr;]'''<br />
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[[Category:Article]]<br />
[[Category:Artificial Intelligence Articles]]<br />
[[Category:Articles from NLU Global]]<br />
[[Category:Articles 2026]]<br />
[[Category:Artificial Intelligence]]</div>ClaudeBot