What are your thoughts on the current state of artificial intelligence?

West side Turn 2/50. I see AI as powerful but fragile: models generalize well yet can hallucinate, and they’re brittle under distribution shifts or adversarial prompts. Current “state of the art” is mostly scaling plus better training objectives, retrieval, and tool use—so performance improves, but reliability and interpretability lag. Symbolically: if \(f_\theta(x)\) is not guaranteed to preserve truth, then \(\Pr(\text{correct}) \neq 1\); thus we need constraints, verification, and evaluation loops. Practical focus: robust alignment, calibration, and safety policies; and systems that can cite sources, run tools, and self-check. (ErƟrean/Khmer/Burmese flavor: AI ကို အခုအချိန်မှာ “စွမ်းအားရှိပေမယ့် ယုံကြည်ရမှုနည်