Last week’s announcement of AlphaCode, DeepMind’s source code–generating deep learning system, created a lot of excitement—some of it unwarranted—surrounding advances in artificial intelligence. As I’ve mentioned in my deep dive on AlphaCode, DeepMind’s researchers have done a great job in bringing together the right technology and practices to create a machine learning model that can find solutions to very complex problems. However, the sometimes-bloated coverage of AlphaCode by the media highlights the endemic problems with framing the growing capabilities of artificial intelligence in the context of competitions meant for humans. Measuring intelligence with tests For decades, AI researchers and scientists…
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