This article explores the current state and future directions of artificial intelligence technology at the end of 2025, focusing on the integrated applications of diffusion models and large language models (LLMs). The article deeply analyzes the potential Goodhart’s Law effect during AI optimization, where excessive optimization of a single metric may lead to overall system performance degradation. Particularly noteworthy is the article’s proposal that the fundamental challenge for AI development in the next 20 years lies in ensuring AI safety and avoiding potential existential risks. The author also explores the balance between AI code optimization and interpretability, as well as the potential of AI in explanation generation. These reflections provide important safety and ethical perspectives for AI technology development, offering significant reference value for readers concerned with cutting-edge AI advancements.
