4.7 • 798 Ratings
🗓️ 9 February 2025
⏱️ 49 minutes
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0:00.0 | But clearly there's a race toward artificial general intelligence, AGI, and it's recognized |
0:09.6 | as such by top players on both sides. |
0:13.7 | I think there's a real chance of automation bias within the Chinese military, that there's |
0:19.2 | concern about making decisions, there's concern about, |
0:22.8 | you know, going against the technology. Denying chips and other technology to China, at best, |
0:30.7 | it delays China's progress and worst, and I think that's what we're seeing here, it incentivizes |
0:35.9 | Chinese scientists to develop a genius workarounds. |
0:40.6 | Hey, welcome back to the Modern War Institute podcast. |
0:43.6 | Brought to you with the generous support of the West Point class of 1974. |
0:47.6 | I'm John Amble. |
0:48.6 | And on this episode, we're digging into the artificial intelligence competition between the United States and China. |
0:55.8 | When the Chinese company DeepSeek recently released an AI model called R1, experts quickly noted |
1:01.3 | that its capability is largely on par with some of the most advanced large language |
1:05.0 | models developed by leading US companies like OpenAI. |
1:08.9 | This and the fact that DeepSeek claims to have trained its model |
1:11.3 | much more cheaply than U.S. companies sparked a wave of discussion about how rapidly Chinese |
1:16.2 | AI development was progressing. And because both China and the United States see a role for military |
1:22.1 | use of AI, it's a really important discussion. To explore that subject, I'm joined on this episode by two experts from Georgetown University's |
1:30.4 | Center for Security and Emerging Technology. |
1:33.1 | Bill Hannes is lead analyst at CSET, and Sam Bresnick is a CSET research fellow. |
1:38.4 | Before we get to the discussion, a couple of quick notes. |
1:41.1 | First, a very special thank you to the West Point class of 1974 for their |
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