WEBVTT 00:00:06.520 --> 00:00:12.360 Reid, it's my pleasure to be here with you at Collège des Bernardins in Paris. 00:00:12.360 --> 00:00:14.800 You are a legend in Silicon Valley. 00:00:14.800 --> 00:00:18.560 You've worked closely with Peter Thiel and Elon Musk at PayPal, 00:00:18.560 --> 00:00:21.200 and you've been one of the founders of LinkedIn. 00:00:21.200 --> 00:00:23.960 Then, you've been an early investor in OpenAI. 00:00:23.960 --> 00:00:25.880 Regarding AI, 00:00:25.880 --> 00:00:29.600 each of us has had our “Aha!” moment using AI or GenAI. 00:00:29.600 --> 00:00:31.840 What's been yours, Reid? 00:00:31.840 --> 00:00:36.640 Well, I've had a number, but probably the very first one 00:00:36.720 --> 00:00:41.400 was the ability to start doing something similar within the research arena. 00:00:41.400 --> 00:00:45.240 I had the fortune and the privilege 00:00:45.240 --> 00:00:48.240 to have very early access to GPT-4, 00:00:48.480 --> 00:00:51.240 and I realized what some of its superpowers were. 00:00:51.240 --> 00:00:54.680 So, what I started doing was saying, okay, 00:00:54.760 --> 00:00:57.520 I'd like to think about 00:00:57.520 --> 00:01:00.000 how AI’s development in what is 00:01:00.000 --> 00:01:03.000 known as a Ministry of Experts format 00:01:03.120 --> 00:01:06.440 could possibly parallel some aspects of economics, 00:01:06.640 --> 00:01:09.840 game theory, and the prisoner's dilemma. 00:01:09.920 --> 00:01:12.240 And so, I went in and started typing 00:01:12.240 --> 00:01:16.520 those questions, and it gave me great research briefs, 00:01:16.520 --> 00:01:19.320 things to research, things to look at, and so forth. 00:01:19.320 --> 00:01:25.560 It was like, ah, imagine if every 00:01:25.640 --> 00:01:27.240 information question that 00:01:27.240 --> 00:01:31.000 you might start with, which could of course include writing a column, 00:01:31.080 --> 00:01:36.880 could be addressed by an immediate, on-demand research assistant, who wouldn't always be right, 00:01:36.880 --> 00:01:40.520 but could always give you something compelling to start with. 00:01:40.600 --> 00:01:46.720 And so, your learning is only bounded by your ability to ask questions. 00:01:46.800 --> 00:01:49.760 When I was writing "Impromptu," the first book on AI, 00:01:49.760 --> 00:01:53.080 co-written with AI, published last year, 00:01:53.160 --> 00:01:55.960 I created thousands of prompts and answers, 00:01:55.960 --> 00:01:59.680 and then I selected the ones that were most interesting for readers. 00:01:59.760 --> 00:02:03.240 Because sometimes you go: well, that first question, that first prompt wasn't very good, 00:02:03.240 --> 00:02:08.960 but when you asked, "Answer this question from the perspective of a brand marketer 00:02:09.040 --> 00:02:11.960 who loves Apple," or 00:02:11.960 --> 00:02:15.400 "May as a brand, now answer this question," 00:02:15.400 --> 00:02:17.760 suddenly, you get a much more interesting question, 00:02:17.760 --> 00:02:19.000 and then that becomes helpful. 00:02:19.000 --> 00:02:22.000 And that's part of what you learn through the process 00:02:22.200 --> 00:02:24.600 of beginning to experiment with these tools. 00:02:24.600 --> 00:02:30.120 Thank you for this, Reid, for your thoughtful perspectives on the technology. 00:02:30.120 --> 00:02:33.800 And thank you for being with me here at Collège des Bernardins today. 00:02:33.920 --> 00:02:34.520 My pleasure.