Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research ยท HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2604.17843/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTLearning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research โ€” mentioned by realsarmhttps://news.ycombinator.com/item?id=49539099urn:hackerpapers:mention:2604.17843:49539099Wed, 02 Sep 2026 16:55:23 GMT<p>Yes this paper even tries their enterprise case. Perplexity performs worse. https://arxiv.org/html/2604.17843v1</p><p><a href="https://hackerpaper.kaipfister.de/p/2604.17843/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.HCLearning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research โ€” mentioned by hek2schhttps://news.ycombinator.com/item?id=49318163urn:hackerpapers:mention:2604.17843:49318163Sun, 16 Aug 2026 08:46:44 GMT<p>This is an active area of research to inject humility into llms in order to create some kind of knowledge boundary. You can look this paper from nouswise https://arxiv.org/html/2604.17843v1 and the product build on top it to try the humility.</p><p><a href="https://hackerpaper.kaipfister.de/p/2604.17843/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.HCLearning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research โ€” HN submissionhttps://news.ycombinator.com/item?id=48309525urn:hackerpapers:submission:2604.17843:48309525Thu, 28 May 2026 14:33:37 GMT<p>Learning from Ava:Lessons from Trustworthy AI for Policy and Dev Research</p><p></p><p>3 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2604.17843/">Paper and source history</a>. A submission is not an endorsement.</p>cs.HC