检验产品描述的标准:听完后我离复制它还有多远
判断一个产品描述好坏的标准是:听完之后,我离能复制出这个产品还有多远。比如“改变人们与图像互动的方式”就几乎没有描述价值。如果让我来做这个东西,我该从何入手呢?
判断一个产品描述好坏的标准是:听完之后,我离能复制出这个产品还有多远。比如“改变人们与图像互动的方式”就几乎没有描述价值。如果让我来做这个东西,我该从何入手呢?
The ELIZA Archaeology Project documents the original 1960s MIT chatbot ELIZA, created by Joseph Weizenbaum. The project explores the program's code, history, and cultural impact, including the "Eliza Effect"—the human tendency to attribute intelligence to simple computer systems—which remains relevant to modern AI like ChatGPT.
A Kickstarter campaign for 'Searching for SmarterChild', a documentary about the AOL Instant Messenger chatbot that once had 30 million users, is in its final week and still short of its funding goal.
The article argues that building your own tools is the most effective method for learning to code, as it forces deep understanding over surface-level knowledge. By creating tools for real problems, learners engage with fundamental principles rather than memorizing syntax or copying solutions. This approach transforms coding from passive consumption into active, principled creation.
The author recounts a recent interaction with a web-based recreation of ELIZA, the early AI chatbot, and shares a transcript of the stilted conversation. He expresses skepticism about ELIZA's historical reputation and criticizes anyone who found it useful as a virtual therapist, calling such people "suffered-a-permanent-head-injury wrong."