<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: ryougi</title><link>https://news.ycombinator.com/user?id=ryougi</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Fri, 05 Jun 2026 04:13:31 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=ryougi" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by ryougi in "Artificial intelligence is not conscious – Ted Chiang"]]></title><description><![CDATA[
<p>>it’s disingenuous to say the inference is on the next token because it’s actually not, it’s in the models parameter space across a set of nonlinear activation functions then effectively projected into the token. The idea its predictive of the token isn’t actually the case, it really is a much more complex and more semantic relationship<p>Do you, or anyone reading, have any worthwhile links that make a strong case for this (that there is a stronger semantic relationship than simply next token prediction)?  I would like to read more about this.</p>
]]></description><pubDate>Thu, 04 Jun 2026 21:10:47 +0000</pubDate><link>https://news.ycombinator.com/item?id=48404690</link><dc:creator>ryougi</dc:creator><comments>https://news.ycombinator.com/item?id=48404690</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48404690</guid></item></channel></rss>