The article discusses the author's mixed views on AI development, expressing short-term skepticism about current reinforcement learning methods while remaining optimistic about the potential for human-like AGI in the future. It critiques the reliance on pre-training models and the challenges of generalizing skills, arguing that true AGI requires a fundamentally different learning approach.