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deepmind.google·6d ago
AI Engineering
Hacker News·Jun 23·5 min read
Will It Mythos?
TL;DR
A gap exists in understanding how effective Mythos is at finding security vulnerabilities compared to other models. A benchmarking tool called Nelson was developed to evaluate bug detection capabilities, specifically using the Opus model.
✦ Why It Matters
Engineers can leverage benchmarking tools to evaluate and compare the effectiveness of different bug detection models.
Key Takeaways
- Evaluate multiple models for bug detection.
- Consider developing custom benchmarking tools.
- Stay updated on model capabilities and limitations.
- Explore CVE-based standards for vulnerability assessment.
Full Summary
Mythos is a tool designed to find challenging security vulnerabilities, but its effectiveness compared to other models is unclear. To investigate this, a benchmarking suite was created using a tool called Nelson, which automates bug hunting.
The methodology involved gathering bugs identified by Mythos, verifying them against a top-tier model called Opus, and assessing whether these bugs could be detected without prior knowledge. Currently, the corpus includes nine confirmed bugs that were found in the wild, all of which can be identified by multiple models when prompted correctly.
This benchmarking approach may evolve into a more generalized Common Vulnerabilities and Exposures (CVE)-based standard if specific bug claims from Mythos are no longer emphasized. The findings suggest that while Mythos is effective, other models can also perform well under the right conditions.