https://hackerpaper.kaipfister.de/p/2606.30182/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMThttps://news.ycombinator.com/item?id=49254706urn:hackerpapers:mention:2606.30182:49254706Tue, 11 Aug 2026 07:51:07 GMT<p>We studied this question pretty systematically in the MirrorCode paper [1], comparing Python, C, Rust, Go, OCaml, and Ada across 19 very long-horizon tasks, for Claude Opus 4.7 and GPT-5.5. &gt; In our results, there was little sign of inter-language differences in solve rates, for any model (Figure 5b). This suggests that AI models have learned generalized programming skills, rather than pattern-matching syntax. This does not mean that implementation language is irrelevant. Conditional on solving a target, we found a small effect on token usage: successful Python solutions tended to use fewer…</p><p><a href="https://hackerpaper.kaipfister.de/p/2606.30182/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AI