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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2601.16447/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2601.16447/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go — mentioned by wslh</title><link>https://news.ycombinator.com/item?id=47681389</link><guid isPermaLink="false">urn:hackerpapers:mention:2601.16447:47681389</guid><pubDate>Tue, 07 Apr 2026 21:08:08 GMT</pubDate><description>&lt;p&gt;LLMs and human intelligence overlap, but they are not the same. What LLMs show is that we don&amp;#x27;t need AGI to be impressed. For example, LLMs are not good playing games such as Go [1]. [1] https://arxiv.org/abs/2601.16447&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2601.16447/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
