Summary & Key Takeaways ​

• The article discusses how AI tools, particularly large language models (LLMs) and coding assistants like GitHub Copilot, are rapidly changing the landscape of vulnerability research.
• It suggests that AI's ability to quickly identify and fix common vulnerabilities might make traditional human-led vulnerability discovery less viable.
• The author questions the future of human vulnerability researchers in a world where AI can find and patch bugs at an unprecedented speed.
• The piece explores the potential for AI to both automate vulnerability discovery and assist in patching, creating a new dynamic in cybersecurity.

Our Commentary ​

This is a fascinating, and frankly, a bit unsettling take. The idea that AI could "cook" an entire field like vulnerability research by simply being too good, too fast, is a stark reminder of the disruptive power of these tools. We've seen AI automate many tasks, but for it to potentially outpace human ingenuity in finding novel flaws raises serious questions about the future of human expertise in security. It makes me wonder if the focus will shift from finding bugs to understanding and auditing AI-generated code for subtle, complex vulnerabilities that even AI might miss.