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Measuring LLMs’ ability to develop exploits

Why it’s here: Anthropic's technical benchmark results on AI models' exploit-development capabilities bear directly on AI and cybersecurity policy (frontier-model risk, controlled release via Project Glasswing), making it a development a DC reader needs for live AI-security policy debates.

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  1. YesterdayAnthropic · research by ExploitBenchMeasuring LLMs’ ability to develop exploitsAnthropic reports that its Claude Mythos Preview model outperforms other evaluated models on three exploit-development benchmarks (ExploitBench, ExploitGym, and an updated SCONE-bench), achieving arbitrary code execution on 21 of 41 V8 CVEs and exploiting $35 million in simulated smart contract value.1 outletCyberAI19 linked

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Measuring LLMs’ ability to develop exploits — The Wave