AI and the World's Hard Problems · Theoretical computer science · Anthropic · 2026-10-07
Automated researchers can reliably mitigate alignment failures
Anthropic had Claude autonomously train models to improve performance on public benchmarks covering 10 categories of alignment failure. For all 10, Claude found fixes that raised the target benchmark scores without degrading general capabilities. The work aims to let safety research keep pace as AI increasingly helps build AI.