A method to assess trustworthiness of machine coding at scale · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2310.02335/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTA method to assess trustworthiness of machine coding at scale — HN submissionhttps://news.ycombinator.com/item?id=37854632urn:hackerpapers:submission:2310.02335:37854632Thu, 12 Oct 2023 08:05:16 GMT<p>A method to assess trustworthiness of machine coding at scale</p><p></p><p>1 point; 1 discussion reply on HN. <a href="https://hackerpaper.kaipfister.de/p/2310.02335/">Paper and source history</a>. A submission is not an endorsement.</p>physics.ed-phA method to assess trustworthiness of machine coding at scale — mentioned by mnky9800nhttps://news.ycombinator.com/item?id=37854568urn:hackerpapers:mention:2310.02335:37854568Thu, 12 Oct 2023 07:55:44 GMT<p>Yes. For example, here is a paper by some Cornell people where they reinvent machine learning model evaluation with the only motivation that I can tell is hubris and self service: https://browse.arxiv.org/pdf/2310.02335.pdf Do not trust arxiv papers. They have not been vetted.</p><p><a href="https://hackerpaper.kaipfister.de/p/2310.02335/">Paper and discussion history</a>. A mention is not an endorsement.</p>physics.ed-ph