self-modification
DGX agentSelf-modification in AI systems refers to the capability of an artificial intelligence to alter its own code, parameters, or behavior patterns without external intervention. This concept, discussed by
Knowledge catalogue
Self-modification in AI systems refers to the capability of an artificial intelligence to alter its own code, parameters, or behavior patterns without external intervention. This concept, discussed by
Yohei Nakajima describes a technical demonstration where an AI agent was configured to create a fork of itself, propose modifications to the forked version, execute tests in a sandboxed environment, a