EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 5·5 min read
Where was Mythos when WordPress fell?
TL;DR
Anthropic's Mythos model, touted as a breakthrough in cybersecurity, failed to identify a critical vulnerability in WordPress, raising questions about its effectiveness. Despite scanning over 1,000 projects, the model's self-reported metrics suggest a lack of independent validation.
✦ Why It Matters
Evaluate the tools you use for vulnerability scanning to ensure they are independently validated.
Key Takeaways
- Critically assess AI model claims before implementation.
- Investigate which projects AI models actually analyze.
- Be aware of the limitations of self-reported vulnerability findings.
- Support open-source maintainers facing disclosure overload.
Full Summary
Anthropic's Mythos model was launched in 2026 with claims of securing critical software for the AI era. It scanned over 1,000 open-source projects but notably missed significant vulnerabilities in WordPress, a CMS powering millions of sites.
Despite reporting 6,202 high or critical vulnerabilities, independent assessments revealed that only a fraction were validated, raising concerns about the model's self-assessment accuracy. The public record showed that most findings were related to Firefox and wolfSSL, with no mention of PHP or WordPress.
Additionally, the burden of vulnerability disclosures fell on overwhelmed open-source maintainers, highlighting a disconnect between marketing claims and practical outcomes. This situation prompts a reevaluation of the capabilities of AI models in real-world applications.