Our friends over at IBM are eager to answer questions about the differences between general artificial intelligence, artificial intelligence, deep learning, and machine learning.[1] I’m listening to Bruce Springsteen’s song Darkness on the Edge of Town while working on this post this morning. You get questions of a digital divide, ethics, and equality starting to be generated as you evaluate all the different aspects of the above mentioned technologies. My treatment of the terms here is really about functionality and not the potential consequences of that functionality. I’ll take a look at that during a future Substack post, but not explicitly during this turn of the wheel.[2] You can rest assured that Timnit Gebru (formerly of Google) is now hard at work on this topic with a new think tank the Distributed Artificial Intelligence Research Institute (DAIR).[
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Machine learning and deep learning
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Our friends over at IBM are eager to answer questions about the differences between general artificial intelligence, artificial intelligence, deep learning, and machine learning.[1] I’m listening to Bruce Springsteen’s song Darkness on the Edge of Town while working on this post this morning. You get questions of a digital divide, ethics, and equality starting to be generated as you evaluate all the different aspects of the above mentioned technologies. My treatment of the terms here is really about functionality and not the potential consequences of that functionality. I’ll take a look at that during a future Substack post, but not explicitly during this turn of the wheel.[2] You can rest assured that Timnit Gebru (formerly of Google) is now hard at work on this topic with a new think tank the Distributed Artificial Intelligence Research Institute (DAIR).[