Presents a framework where an agent's outputs re-enter as noise, creating an unbounded loop once a threshold is crossed. Bridges self-prompting and AutoML.
View on ArXiv →The first dedicated RSI workshop. Key topics: Test-time adaptation, model/memory editing, and alignment of self-improving loops.
Workshop Site →