AI agents are increasingly effective at identifying vulnerabilities in large software systems. Anthropic chose not to release the Mythos model due to concerns over its potential to discover dangerous security flaws.
kirancodes.me
7 min
21h ago
N-Day-Bench evaluates the ability of frontier language models to identify real-world vulnerabilities disclosed after their knowledge cut-off dates. The benchmark features a standardized testing environment and monthly updates to test cases, focusing on the vulnerability discovery capabilities of large language models.
ndaybench.winfunc.com
1 min
1d ago
AI agents are increasingly effective at identifying vulnerabilities in large software systems. Anthropic chose not to release the Mythos model due to concerns over its potential to discover dangerous security flaws.
kirancodes.me
7 min
21h ago
N-Day-Bench evaluates the ability of frontier language models to identify real-world vulnerabilities disclosed after their knowledge cut-off dates. The benchmark features a standardized testing environment and monthly updates to test cases, focusing on the vulnerability discovery capabilities of large language models.
ndaybench.winfunc.com
1 min
1d ago
AI agents are increasingly effective at identifying vulnerabilities in large software systems. Anthropic chose not to release the Mythos model due to concerns over its potential to discover dangerous security flaws.
kirancodes.me
7 min
21h ago
N-Day-Bench evaluates the ability of frontier language models to identify real-world vulnerabilities disclosed after their knowledge cut-off dates. The benchmark features a standardized testing environment and monthly updates to test cases, focusing on the vulnerability discovery capabilities of large language models.
ndaybench.winfunc.com
1 min
1d ago
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