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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rethinking Thinking Tokens: LLMs as Improvement Operators · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2510.01123/</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/2510.01123/feed.xml" rel="self" type="application/rss+xml" /><item><title>Rethinking Thinking Tokens: LLMs as Improvement Operators — mentioned by ankit219</title><link>https://news.ycombinator.com/item?id=47025596</link><guid isPermaLink="false">urn:hackerpapers:mention:2510.01123:47025596</guid><pubDate>Sun, 15 Feb 2026 17:33:55 GMT</pubDate><description>&lt;p&gt;People are misunderstanding Anthropic&amp;#x27;s fast mode because they chose to name it that way. The hints all point to a specific thing they did. The setup is costlier, its also smarter and better on tougher problems which is unheard of in terms of speed. This paper[1] fits perfectly: The setup is parallel distill and refine. You start with parallel trajectories instead of one, then distill from them, and refine that to get to an answer. Instead of taking all trajectories to completion, they distill it quickly and refine so it gives outputs fast and yet smarter. - paper came out in nov 2025 - three…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2510.01123/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Rethinking Thinking Tokens: LLMs as Improvement Operators — HN submission</title><link>https://news.ycombinator.com/item?id=45472776</link><guid isPermaLink="false">urn:hackerpapers:submission:2510.01123:45472776</guid><pubDate>Sat, 04 Oct 2025 12:17:59 GMT</pubDate><description>&lt;p&gt;Scaling Test Time Compute&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2510.01123/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
