Developing AI Like Raising Kids

these models are not “intelligences.” People mistake them for entities with volition, even sentience. This is because of the anthropomorphic fallacy: people tend to think of other things as humans if you give them half an excuse. But it is also because of a linguistic mistake: we call them AI, “artificial intelligence.”

Language models are not being... See more

Part of the challenge of “AI” is we keep raising the bar on what it means for something to be a machine intelligence. Early machine learning models have been quite successful in terms of real world impact. Large scale applications of machine learning today include Google Search and ads targeting, Siri/Alexa, smart routing on mapping applications, s... See more