New research shows AI agents don't just learn human capabilities — they systematically inherit human cognitive biases. The implications for deploying agents as objective decision-makers are uncomfortable.
Three independent papers demonstrate agents rewriting their own training code, generating their own knowledge structures, and refining their reasoning at test time. Self-improvement has moved from theory to working engineering.
Automated adversarial tools are emerging where small, cheap models systematically find vulnerabilities in frontier models. The safety landscape is shifting from pre-deployment testing to continuous monitoring.
