VQV Signal

SECURITY WATCH GENERAL

Trail of Bits used OpenAI Codex to land fixes for 149 Linux kernel CVEs in stable versions

According to a post on X by @twtayaan, Trail of Bits used OpenAI Codex to bring Linux kernel fixes into older stable kernels. The fixes already existed in newer Linux code but were missing from older versions, so Codex was used to find the gaps, adapt the patches and run tests. The post says this landed fixes for 149 distinct CVEs by Oct 29. Each fix reportedly took roughly 30 minutes to three hours of human preparation and review instead of days, and engineers still review and submit the patches.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-04T06:25:00+00:00 Detected 2026-11-04T10:17:41+00:00
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According to a post on X by @twtayaan, Trail of Bits used OpenAI Codex to bring Linux kernel fixes into older stable kernels. The fixes already existed in newer Linux code but were missing from older versions, so Codex was used to find the gaps, adapt the patches and run tests. The post says this landed fixes for 149 distinct CVEs by Oct 29. Each fix reportedly took roughly 30 minutes to three hours of human preparation and review instead of days, and engineers still review and submit the patches.

AI-assisted summary based on the listed source.

The fixes already existed in newer Linux code but were missing from older versions, so Trail of Bits used OpenAI Codex to find the gaps, adapt the patches and run tests, landing fixes for 149 distinct CVEs by Oct 29. Each fix took roughly 30 minutes to three hours of human preparation and review instead of days,...

Teams that maintain older Linux kernels could get known fixes into their systems faster if this approach holds up, while human review remains required for every patch. The excerpt cuts off in its discussion of older kernels, so the full reasoning is not visible here. Security and kernel maintainers should watch for fuller details on the verification process and how the patches are adopted.

Security-conscious readers may want to review the source and watch for practical exposure or mitigation details.

Signal Strength 91% Technical label WATCH Public Interest 61 Category SECURITY Reader Depth GENERAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 90 Practical Impact Score 20 Novelty Interest Score 94 Consequence Score 50 Curiosity Score 16 Shareability Score 69

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).