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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2609.28876/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Thu, 05 Nov 2026 05:34:29 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2609.28876/feed.xml" rel="self" type="application/rss+xml" /><item><title>Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents — HN submission</title><link>https://news.ycombinator.com/item?id=50362361</link><guid isPermaLink="false">urn:hackerpapers:submission:2609.28876:50362361</guid><pubDate>Wed, 04 Nov 2026 07:16:54 GMT</pubDate><description>&lt;p&gt;LLMs tested on historical prediction markets, NONE outperformed the market&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2609.28876/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
