Tag: #code-analysis7 results
Cloudflare shares insights from Project Glasswing, where they deployed Mythos and other security-focused LLMs to analyze live code within their production infrastructure. The report details the models' performance, identifying specific strengths and weaknesses in real-world security applications.
Anthropic's Claude Mythos Preview identified 271 vulnerabilities in Firefox 148, all fixed in version 150. It detected over 10 times more bugs than Claude Opus 4.6. This showcases AI's ability to match human experts in cybersecurity.
Anthropic’s Claude Opus 4.6 identified 22 security flaws in Firefox during a two-week test with Mozilla, including 14 serious ones. It analyzed the JavaScript engine first, then nearly 6,000 C files, generating 112 error reports. Most vulnerabilities were fixed in Firefox 148, though Claude excelled more at detection than exploitation, succeeding with only two bugs after $4,000 in API costs.
Kakuyasu successfully decoded its 30-year-old legacy system by combining Generative AI analysis with deep domain expertise. The project highlights the importance of establishing a framework to control AI outputs for reliable system migration.
Mozilla tested Anthropic's Mythos AI bug-finder on Firefox, uncovering 271 vulnerabilities. However, all flaws were detectable by humans. The Mozilla CTO hails this as a turning point for developers to manage security better.
Seattle startup Adronite raised $5 million in a Series A round led by Gatemore Capital Management. The funding aims to expand its tools that help enterprises understand complex codebases. This positions Adronite to grow in the developer tools market.
A dataset cpython_growth.csv captures nearly 1400 entries from 36 years of CPython commit history, tracking source code line counts over time. The article explores this data to visualize Python's evolution.