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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ARC Prize 2024: Technical Report · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.04604/</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/2412.04604/feed.xml" rel="self" type="application/rss+xml" /><item><title>ARC Prize 2024: Technical Report — HN submission</title><link>https://news.ycombinator.com/item?id=45276256</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.04604:45276256</guid><pubDate>Wed, 17 Sep 2025 14:28:47 GMT</pubDate><description>&lt;p&gt;Show HN: CodeWords – Build automations by chatting with AI&lt;/p&gt;&lt;p&gt;Hey HN, Aymeric here, co-founder of Agemo and maker of CodeWords. Generating nice-looking UIs with AI has been democratized now thanks to tools like Lovable, v0 and bolt. Going from natural language to a complex back-end workflow is still an unsolved problem. We started our journey by researching neurosymbolic methods applied to software/code generation problems and it landed us a feature in the ARC-AGI report last year (https://arxiv.org/abs/2412.04604). We&amp;#x27;ve now applied this research to build an AI-native workflow automation platform to enable builders of any technical ability to ship…&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.04604/"&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>ARC Prize 2024: Technical Report — mentioned by throwaway71271</title><link>https://news.ycombinator.com/item?id=42473486</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.04604:42473486</guid><pubDate>Fri, 20 Dec 2024 18:30:56 GMT</pubDate><description>&lt;p&gt;| Name | Semi-private eval | Public eval | |--------------------------------------|-------------------|-------------| | Jeremy Berman | 53.6% | 58.5% | | Akyürek et al. | 47.5% | 62.8% | | Ryan Greenblatt | 43% | 42% | | OpenAI o1-preview (pass@1) | 18% | 21% | | Anthropic Claude 3.5 Sonnet (pass@1) | 14% | 21% | | OpenAI GPT-4o (pass@1) | 5% | 9% | | Google Gemini 1.5 (pass@1) | 4.5% | 8% | https://arxiv.org/pdf/2412.04604&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.04604/"&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>
