We have 3 of 18 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This work introduces Evolutionary Safety as a perspective for studying safety under persistent and recursive self-improvement, which concerns not only whether an AI system is safe at a particular moment, but how safety properties change, persist, accumulate, and propagate throughout evolution.
EvoCoCo is a multi-agent framework that realizes automatic tensorization for MOEAs as semantics-guided computational restructuring and develops Evolutionary Code Conversion (EvoCoCo), a multi-agent framework that realizes this formulation.
Results show that long-horizon software development can be organized around a persistent project rather than a persistent agent, and EvoX Genesis is introduced, which instead makes the software project persistent while allowing local agents to remain finite-lived.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
