ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2506.16499/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning — mentioned by pplonski86https://news.ycombinator.com/item?id=46300531urn:hackerpapers:mention:2506.16499:46300531Wed, 17 Dec 2025 10:58:39 GMT<p>This is amazing. Porting library from one language to one language are easy for LLMs, LLMs are tired-less and aware of coding syntax very well. What I like in machine learning benchmarks is that agents develop and test many solutions, and this search process is very human-alike. Yesterday, I was looking into MLE-Bench for benchamrking coding Agents on machine learning tasks from Kaggle https://github.com/openai/mle-bench There are many projects that provide agents which performance is simply incredible, they can solve several Kaggle competitions under 24 hours and be on medal place. I think…</p><p><a href="https://hackerpaper.kaipfister.de/p/2506.16499/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AI