Aisle用开源模型匹配Mythos零日漏洞发现，伯克利排名前三
Aisle用开源小模型加搜索，在零日漏洞发现上追平了Mythos，伯克利8项里拿了3项第一，还能离线跑，挺牛的。
Mythos普及了用LLM寻找漏洞的思路，但Aisle更早开始实践。Aisle使用小规模开源权重模型配合结构化搜索系统，成功匹配了带CVE的公共零日漏洞，且可离线运行。伯克利研究在8个类别中给予Aisle全球第1的排名（3项），团队来自欧洲且规模很小。
While Mythos has popularized the idea of finding vulnerabilities with LLMs, Aisle was doing it earlier. From an engineering point of view, it's interesting to see that a small, open weight model with a structured search system is competitive at this task Stanislav Fort @stanislavfort We matched Mythos on public zero-days with CVEs using widely available & open-source derived models & can run it air-gapped if needed. All this with a small team out of Europe Berkeley study ranks us #1 globally in 3 of 8 categories The full evidence: https://t.co/NGVaWxFneq 🔗 View Quoted Tweet 💬 4 🔄 2 ❤️ 43 👀 9006 📊 9 ⚡
