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  • Jessica Riskin at the Public Domain Review explores the automata, the pre-Babbage mechanical creations that were humanity's first effort at artificial intelligence.

  • Katrina Onstad at Toronto Life profiles Gregory Hinton, the Toronto AI researcher who pushed the idea of neural networks--ancestor to modern-day deep learning--into the mainstream of AI research.

  • Reverse-engineering the workings of the human brain would be a good way to learn how to build durable AIs. Wired makes the case.

  • The Economist notes one central problem with modern AI is its inscrutability to outside scrutiny. How can the workings of an AI be shown, made visible?

  • Gizmodo notes a report on AI warning that, without adequate regulation and preparation, artificial intelligence could have a destabilizing, even strongly negative, impact on the world of the imaginable future.

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