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METR says it can barely measure Claude Mythos, Palo Alto Networks warns of autonomous AI attackers

METR can only measure 2% of Claude Mythos's capabilities. Meanwhile, frontier models are chaining exploits in 25 minutes.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI models advance faster than evaluation methods, safety benchmarks are becoming dangerously blind spots—a critical governance gap that investors and CTOs need to understand.

The key facts

4 to know
  1. METR: Only 5 out of 228 tasks in current test suite cover Claude Mythos's relevant capability range (2.2% coverage)

  2. Palo Alto Networks: Frontier models autonomously chain vulnerabilities from initial access to data exfiltration in 25 minutes

  3. Evaluation methods growing slower than model capability progression

  4. Safety assessment blindness becoming systemic risk across frontier labs

Go to the source

The Decoderthe-decoder.com

Publisher excerpt: METR can barely measure Claude Mythos Preview with its current test suite. Only five out of 228 tasks cover the relevant capability range. Meanwhile, Palo Alto Networks reports that frontier models autonomously chain vulnerabilities, shrinking the time from initial access to data exfiltration to…
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