Dongyeop Kang

Meta^n stacks agent layers with a frozen improver and hits 0.331 on ARC-AGI-2

Researchers at the University of Minnesota and Seoul National University unveiled Meta^n, a self-improving agent that recursively applies one frozen meta-operation, scoring 0.331 on ARC-AGI-2 versus 0.003 and 0.054 for prior self-improving agents.