Open Source Matches Mythos in Bug Finding
💡Open source LLMs match Mythos for bugs – cut costs on security tools!
⚡ 30-Second TL;DR
What Changed
Open source models rival Anthropic's Mythos in bug detection effectiveness.
Why It Matters
Challenges dependency on proprietary AI tools like Mythos, enabling cost savings for security teams. Encourages adoption of open source for broader accessibility in bug hunting.
What To Do Next
Benchmark open-source LLMs like Llama 3 on your code for vulnerability detection.
Key Points
- •Open source models rival Anthropic's Mythos in bug detection effectiveness.
- •Ari Herbert-Voss is CEO of RunSybil and OpenAI's inaugural security hire.
- •Automation improves security without causing job displacements.
- •Presented at Black Hat Asia conference.
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Original source: The Register - AI/ML ↗
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