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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Understanding Tone-Dependent Inference Cost in Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2607.23915/</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/2607.23915/feed.xml" rel="self" type="application/rss+xml" /><item><title>Understanding Tone-Dependent Inference Cost in Large Language Models — mentioned by xolox</title><link>https://news.ycombinator.com/item?id=49492927</link><guid isPermaLink="false">urn:hackerpapers:mention:2607.23915:49492927</guid><pubDate>Sat, 29 Aug 2026 20:09:50 GMT</pubDate><description>&lt;p&gt;&amp;gt; Yes, but I still prefer a nice tone. Like why should I change my manners just because it has no feelings? If anything the statistic predicts a friendlier answer when I say &amp;quot;please&amp;quot;. Like you I generally prefer polite phrasings over rude ones, and I&amp;#x27;m certainly not going to tell you how you should communicate to LLM models, however it&amp;#x27;s interesting to note that being somewhat rude and to the point seems to have some objective advantages, see for example: Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper) https://arxiv.org/abs/2510.04950 Understanding…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2607.23915/"&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>
