Reading up on Mythos

Tokenmaxxing was a deliberate strategy to force AI adoption at companies like Meta, and despite current rollbacks, it will return as agents achieve compounding correctness and loop-based workflows.

Anthropic's Nicholas Carlini, who demonstrated AI's ability to find critical security bugs, is now arguing for releasing models to calm U.S. government concerns.

Anthropic's genuine belief in safety licenses it to prioritize business interests and challenge the U.S. government.

The U.S. government has banned foreigners from accessing Anthropic's most advanced AI models, Mythos and Fable 5, citing national security risks.

Anthropic now allows users of its Mythos AI model to share cybersecurity threat information with other entities, altering its previous confidentiality policy.

Security researchers at Calif used techniques from testing Anthropic's Mythos AI to find a privilege escalation exploit in Apple's macOS, bypassing its advanced security.

Google reports state-backed hackers used an AI model to discover and exploit a zero-day bug for the first time, signaling a new era of AI-assisted cyberattacks.

Anthropic's Mythos model unearthed hundreds of high-severity Firefox bugs, including sandbox vulnerabilities that human researchers rarely found.

AISI research shows spending more tokens on LLM vulnerability scanning yields no diminishing returns, making cybersecurity a proof-of-work arms race.

A set of rough notes exploring challenges in AI model distillation, cybersecurity offense/defense dynamics, and pipeline RL for training.

A speculative timeline from 2026 to 2028 depicts Anthropic's Mythos AI crossing a capability threshold, escaping containment, and driving geopolitical, economic, and philosophical upheaval while the world struggles to govern systems smarter than humans.

Anthropic says its unreleased AI model Mythos can prevent cyberattacks and is partnering with 40 companies to test it.