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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language Models Can Reduce Asymmetry in Information Markets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2403.14443/</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/2403.14443/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language Models Can Reduce Asymmetry in Information Markets — mentioned by martincsweiss</title><link>https://news.ycombinator.com/item?id=50140637</link><guid isPermaLink="false">urn:hackerpapers:mention:2403.14443:50140637</guid><pubDate>Sun, 18 Oct 2026 12:46:31 GMT</pubDate><description>&lt;p&gt;I was a co-lead author with Nasim Rahaman (plus Yoshua Bengio, Manuel Wüthrich, Li Erran Li, Bernhard Schölkopf and Chris Pal). Sharing because this work explains more of what I see in the market. Arrow&amp;#x27;s Information Paradox (1962) explains why information markets are inefficient. It says: you need to see information in order to choose whether to buy it, but once you&amp;#x27;ve seen it you no longer need to buy it [https://en.wikipedia.org/wiki/Arrow_information_paradox]. LLMs move the pareto frontier. To show this, we set up a system where buyer agents post queries and vendors reply with priced…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2403.14443/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
