用 Jev 做两美分一次、两秒完成的漏洞扫描器
depthfirst 团队用输出概率的 Jev 分类器搭并行扫描 harness，在 dfbench v1 上接近 GPT-5.6 Luna 的漏洞发现量，只把最难案例升级给前沿模型。
Our researchers built a vulnerability scanner that costs two cents per scan and completes a scan in around two seconds. The scanner is built with Jev, a classifier that outputs probabilities rather than generating tokens. On dfbench v1, our flagship model, it finds nearly as many real vulnerabilities as GPT-5.6 Luna, one of the most efficient models by cost per vulnerability. This new harness breaks vulnerability discovery into parallel tasks, making it possible to scan every package, repository, or commit quickly and at low cost before escalating the hardest cases to other frontier models on the depthfirst platform. Read more about how we built this in comments 👇