Self-Evolving Agents
A structural shift is underway in AI: the core capability of agents is moving from one-shot answer generation to continually producing verifiable, self-improving results in closed-loop systems. A representative milestone is DeepMind’s release of AlphaEvolve, an LLM-driven evolutionary coding agent that has delivered breakthroughs in mathematics, algorithm design, and engineering optimization, in several cases improving upon best-known human-designed baselines. Under this paradigm, the division of labor between humans and agents is clearly reconfigured: ...