AI researchers debate how close we are to recursive self-improvement
Summary
The article presents a long-form debate among AI researchers about recursive self-improvement (RSI), scaling limits, and whether current paradigms can yield a self-improving AI or if new approaches are required. It covers data vs compute, sim-to-real gaps, the role of distillation and environments, and timelines for RSI-driven automation and research. The discussion offers varied perspectives on when RSI might occur and its implications for technology, business, and governance.