Z.ai founder Tang Jie says self-improving AI is a key step toward AGI, but must be done safely
Tang Jie, a leading Chinese computer scientist and Z.ai founder, said using AI to build even smarter systems would make AGI more achievable, but it must be done safely. He spoke at an event in Shanghai on Saturday, according to the South China Morning Post.
Using AI to build even smarter AI systems will make artificial general intelligence (AGI) more achievable, but it must be done safely, Tang Jie, founder of Z.ai, said at an event in Shanghai on Saturday, according to the South China Morning Post (SCMP). SCMP describes Tang as a leading Chinese computer scientist.
What was said
Tang framed self-improving AI as a key step toward AGI. He paired that position with a condition: the approach would need to be pursued with safety as a priority.
Context
SCMP says the remarks underscore how AI companies in both the US and China are chasing recursive self-improvement (RSI). In RSI, increasingly powerful AI systems also become better at improving themselves in an ever-accelerating cycle. SCMP calls it the holy grail of the field.
No model releases, benchmark figures, pricing or technical specifications were attached to the remarks in the available summary.
What this means
Tang's comments place the head of a Chinese AI company on record linking recursive self-improvement directly to progress toward AGI. He also states that safety is a requirement of that path. According to SCMP, companies in both the US and China are pursuing RSI.
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