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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.14135/</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/2412.14135/feed.xml" rel="self" type="application/rss+xml" /><item><title>Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective — mentioned by rrr_oh_man</title><link>https://news.ycombinator.com/item?id=42590749</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.14135:42590749</guid><pubDate>Fri, 03 Jan 2025 23:47:04 GMT</pubDate><description>&lt;p&gt;That seems, ironically, to be an AI proofreader mistake. The correct URL is https://cdn.openai.com/o1-system-card-20241205.pdf , at least according to https://arxiv.org/html/2412.14135v1 (which contains typos that OP&amp;#x27;s submissions doesn’t).&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.14135/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective — HN submission</title><link>https://news.ycombinator.com/item?id=42590322</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.14135:42590322</guid><pubDate>Fri, 03 Jan 2025 22:49:08 GMT</pubDate><description>&lt;p&gt;A path to O1 open source&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;133 points; 80 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.14135/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective — HN submission</title><link>https://news.ycombinator.com/item?id=42571181</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.14135:42571181</guid><pubDate>Thu, 02 Jan 2025 02:56:36 GMT</pubDate><description>&lt;p&gt;Scaling of Search and Learning&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/2412.14135/"&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>
