4.7 • 13K Ratings
🗓️ 3 October 2019
⏱️ 85 minutes
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0:00.0 | The following is a conversation with Gary Marcus. |
0:02.8 | He's a professor emeritus at NYU, founder, |
0:05.4 | robust AI, and geometric intelligence. |
0:08.2 | The latter is a machine learning company |
0:10.3 | that was acquired by Uber in 2016. |
0:13.5 | He's the author of several books on natural |
0:16.4 | and artificial intelligence, including his new book, |
0:19.5 | Rebooting AI, Building Machines We Can Trust. |
0:23.4 | Gary has been a critical voice highlighting |
0:26.0 | the limits of deep learning and AI in general, |
0:28.8 | and discussing the challenges before our AI community |
0:33.6 | that must be solved in order to achieve |
0:35.7 | artificial general intelligence. |
0:38.2 | As I'm having these conversations, |
0:40.1 | I try to find paths towards insight, towards new ideas. |
0:43.6 | I try to have no ego in the process and get them away. |
0:47.6 | I'll often continuously try on several hats, several roles. |
0:52.2 | One, for example, is the role of a three-year-old |
0:54.7 | who understands very little about anything |
0:57.1 | and asks big what and why questions. |
1:00.3 | The other might be a role of a devil's advocate |
1:02.9 | who presents counter ideas with goal of arriving |
... |
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