Self-improving AI the key step towards AGI but safety is key: Z.ai founder
Tsinghua professor and Z.ai co-founder says RSI represents a new paradigm for accelerating AI development
Quick Look
Tsinghua University professor Tang Jie stated in Shanghai that recursive self-improvement (RSI) is the primary research challenge for achieving artificial general intelligence, noting its potential to accelerate AI development.
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Why It Matters
Recursive self-improvement refers to AI systems that enhance their own capabilities, creating an accelerating loop of development.
Using artificial intelligence to build even smarter systems will make artificial general intelligence (AGI) more achievable, though it would need to be done safely, leading Chinese computer scientist Tang Jie said at an event in Shanghai on Saturday.
The remarks underscore how AI companies in the US and China are both chasing the holy grail of recursive self-improvement (RSI), where increasingly powerful AI systems also become better at improving themselves in an ever-accelerating “loop”.
“[Recursive self-improvement] is the main research problem for [achieving] AGI,” said Tang, who is a computer science professor at Tsinghua University and co-founder of Beijing-based artificial intelligence model company Z.ai, developer of the GLM family of models.
Open Questions
- What specific safety protocols does Tang propose for RSI?
