https://hackerpaper.kaipfister.de/p/2510.15624/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=45756313urn:hackerpapers:mention:2510.15624:45756313Thu, 30 Oct 2025 04:04:10 GMT<p>Apparently there’s an open-source framework, freephdlabor, that aims to make research automation adaptive rather than scripted. A manager process coordinates task-specific workers via files; workers decide whether to dig deeper, pivot, or call others based on results. In a case study on neural-network training phases, it reportedly found phase transitions and designed follow-up tests, producing a paper draft. The pitch is that you can swap in domain-specific workers and keep the same coordination layer. GitHub: https://github.com/ltjed/freephdlabor Paper: https://arxiv.org/abs/2510.15624…</p><p><a href="https://hackerpaper.kaipfister.de/p/2510.15624/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AI