书评：《超级智能：路径、危险、策略》尼克·博斯特罗姆著 ★★★★⯪
这篇书评认为博斯特罗姆在2014年出版的著作清晰地阐述了真正人工智能（而非现今的LLM）可能带来的问题，以及在创造之前需要采取的措施。作者甚至表示，如果发明了时间旅行，会回到过去让每个人都读这本书。
这篇书评认为博斯特罗姆在2014年出版的著作清晰地阐述了真正人工智能（而非现今的LLM）可能带来的问题，以及在创造之前需要采取的措施。作者甚至表示，如果发明了时间旅行，会回到过去让每个人都读这本书。
Terence Tao discusses the nature of mathematical discovery through historical figures like Kepler and Newton. The article explores what these stories reveal about how artificial intelligence will transform mathematics.
Adam Marblestone argues that the brain's key advantage over AI lies in its reward functions rather than its architectural design. He suggests current AI systems are missing this fundamental aspect of biological intelligence.
The article examines how scientific progress actually occurs through case studies of Einstein, Newton, and Darwin, challenging common narratives about scientific discovery.
The author shares recent reading topics including nonlinear dynamics and chaos, "Machines of Loving Grace," Max Hodak's theory of consciousness, and the fractal patterns observed in neural network training.