Hyperagents
What this work does
Integrates task solving and meta-level modification into one editable program, allowing archived agents to change both task behavior and the procedure that generates future modifications.
Connection to discovery
Makes the improvement procedure itself an experimental object for recursive discovery-system development.
Evidence
The methods and results separate task-agent quality from meta-agent improvement, with held-out tasks and multiple domains including paper review and reward design.
Scope and limitations
Finite-budget benchmark gains and transfer do not prove indefinite acceleration; evaluation selection, model calls and search costs remain part of the system.
THE RESEARCH CONVERSATION
Discussion & reactions
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