RSI AMA Brings Six Researchers to Debate Recursive Self-Improvement in AI
青稞AI · wechat · 2026-10-14
Qingke Community will host an online AMA on Recursive Self-Improvement (RSI) on October 17, 10:00–12:00, featuring six researchers from academia and industry.
Panelists
- Host He Bingxiang (Tsinghua, Liu Zhiyuan's group): RL and self-evolution of LLMs
- Ma Xiaoteng (Xinzhou Tech chief scientist): agentic RL, LoRA training of trillion-parameter models
- Huang Chensong (WashU St. Louis): LoraHub, R-Zero, EnvHarness
- Qian Cheng (UIUC): ToolRL, UserRL
- Yang Junlin (Tsinghua): OpenMLE AI4AI system
- Zhang Kaiyan (Xiyan Tech CTO): test-time scaling, multi-agent
Topics: boundaries between RSI, self-evolution, continual learning and test-time training; technical routes (RL, self-evolving reasoning, agent-driven improvement) and their bottlenecks; diminishing returns and error accumulation; infrastructure and evaluation for RSI; falsifiable criteria for real self-improvement and the future role of human researchers.
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