人工智能学习库—easyai.tech vs fast.ai：怎么选？

人工智能学习库—easyai.tech 是一部面向零基础用户的 AI 百科全书，以通俗易懂的方式系统梳理人工智能知识体系。其核心功能包括从机器学习、深度学习到自然语言处理等领域的全链路概念图解，每个知识点都配有生活化案例和可视化流程图；同时内置交互式代码沙盒，用户无需配置环境即可在线运行经典算法模型，直观理解底层原理。此外，站点持续更新行业动态与论文解读，帮助新手跟上技术演进节奏。这款工具特别适合希望从零搭建 AI 知识框架的学生、转行开发者以及技术决策者，无论是课前预习、课后巩固，还是日常碎片化学习，都能通过清晰的层级导航快速定位所需内容，避开晦涩术语的困扰。

关于 fast.ai

Following the thread of any seemingly quantitative issue in AI ethics (such as determining if software to rate loan applicants is racially biased or evaluating YouTube’s recommendation system) quickly leads to a host of qualitative questions. Unfortunately, there is often a large divide between computer scientists and social scientists, with over-simplified assumptions and fundamental misunderstandings of one another.

By using better masks, monitoring and improving indoor air quality, and rolling out rapid tests, we could quickly halt the current outbreaks in the Australian states of New South Wales (NSW) and Victoria. If we fail to do so, and open up before 80% of all Australians are vaccinated, we may have tens of thousands of deaths, and hundreds of thousands of children with chronic illness which could last for years.

As governments consider new uses of technology, in public places, this raises issues around surveillance of vulnerable populations, unintended consequences, and potential misuse. There are several principles to keep in mind in how these decisions can be made in a healthier and more responsible manner.