--- format: "aidr-story-markdown/v1" id: "3b6095a3d6d9147c6b97a0c493308baad52336797461a138b746f4f827150987" canonical_url: "https://aidr.today/3b6095a3?lang=en" title: "DeepSeek Engineer Says AI Could Match His Kernel Coding Within a Year" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-09-15T03:11:52.000Z" category: "Research" topics: ["deepseek","kernel-coding","prediction","ai-progress","engineering","coding","kernel","software-development"] source_urls: ["https://marketbrief.now/ai/deepseek-engineer-says-ai-could-match-his-kernel-coding-within-a-year-d254cc68","https://huggingnews.com/ai/deepseek-engineer-says-ai-could-match-his-kernel-coding-within-a-year-d254cc68"] summary: "Shengyu Liu, a DeepSeek engineer who wrote attention kernels for its v4.1 model, predicted that AI would probably match or surpass his kernel coding within six…" --- # DeepSeek Engineer Says AI Could Match His Kernel Coding Within a Year > [Open the canonical story]() **Published:** 2026-09-15T03:11:52.000Z **Category:** Research **Topics:** deepseek, kernel\-coding, prediction, ai\-progress, engineering, coding, kernel, software\-development ## Summary Shengyu Liu, a DeepSeek engineer who wrote attention kernels for its v4\.1 model, predicted that AI would probably match or surpass his kernel coding within six… ## Sources - [Story source]() - [Story source]()