生成式AI

数据科学家必须掌握线性代数、微积分、统计学和概率论，这些数学技能是理解算法和模型的基础。

Top university students now use AI for 99% of their assignments, shifting the core value of college from knowledge delivery to self-awareness and critical thinking.

Generative AI essentially repeats the same training data and model architecture for prediction while expecting different outcomes, mirroring the definition of 'insanity' and revealing fundamental limitations in current AI methodologies.

Angus J. McLean 讨论了在自由意志和决定论之间的有界自主性概念，强调了大型语言模型交互方式的变化，并分享了他在广告行业中设计代理的经验。

文章指出当前生成式AI技术发展过快，可能带来社会、经济、环境等多方面风险，需谨慎推进。

文章批评生成式AI对软件工程师造成心理压力，但缺乏具体技术细节和解决方案。