人工智能的自我提升是可能的吗？目前有什么不可破的技术障碍吗？
The only principle way is nonparametric Bayes. Here is a justification. The problem is essentially to dynamically increase model complexity. Then we need a criteria to determine the optimal way to do so. So it is essentially a model selection problem. A principle way for model selection is Bayesian way. And nonparametric Bayes is the only principle way which can dynamically increase model complexity guided by principle model selection.