ðŸ‡ðŸ‡° English, 1 November 2026, AGI development
Self-improving AI key step towards AGI but safety is key
Chinese computer scientist Tang Jie says recursive self-improvement is crucial for achieving AGI.
Tang Jie, a computer science professor at Tsinghua University and co-founder of Z.ai, says recursive self-improvement is the main research problem for achieving AGI.
AI companies in the US and China are chasing the holy grail of recursive self-improvement, where AI systems improve themselves in an accelerating loop.
Tang emphasizes that achieving AGI through RSI must be done safely to avoid potential risks.