Discussion questions: 1. Explain the Turing Test. How was it originally defined? What is the point? 2. How has the test faired over time? Have any programs succeeded? What strategies have been used? 3. Explain the Deep Learning revolution. How was the network trained? What could it do? How do modern neural nets compare to humans? 4. What is the "true" Turing Test? Why does the speaker suggest this test instead of the actual Turing Test? 5. What is the difference between Cognitive AI and Narrow AI? How does a Narrow AI approach to solving a image recognition problem differ from our minds' approach? Explain the basic idea of patterns, percepts, simulators, and concepts. 6. What are "minds"? What are we? What systems are we made from? 7. What is the problem of neural compositionality? How does it relate to reading a book? What are cortical columns? What do they do? Explain the orchestra analogy?
Discussion questions:
1. Explain the Turing Test. How was it originally defined? What is the point?
2. How has the test faired over time? Have any programs succeeded? What strategies have been used?
3. Explain the Deep Learning revolution. How was the network trained? What could it do? How do modern neural nets compare to humans?
4. What is the "true" Turing Test? Why does the speaker suggest this test instead of the actual Turing Test?
5. What is the difference between Cognitive
6. What are "minds"? What are we? What systems are we made from?
7. What is the problem of neural compositionality? How does it relate to reading a book? What are cortical columns? What do they do? Explain the orchestra analogy?
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