1 00:00:00,120 --> 00:00:02,040 Speaker 1: You may have bemoan it, but a lot of people 2 00:00:02,040 --> 00:00:07,120 Speaker 1: are using it. Chat, GPT and AI messages are being 3 00:00:07,240 --> 00:00:14,000 Speaker 1: used more and more to advance scientific conversations and medical conversations. 4 00:00:14,160 --> 00:00:18,239 Speaker 1: They have grown forty seven percent over the past year. 5 00:00:18,360 --> 00:00:22,080 Speaker 1: About one point three million users per week are discussing 6 00:00:22,520 --> 00:00:29,880 Speaker 1: scientific topics with chat GPT. The topics include physics, chemistry, biology, engineering, 7 00:00:30,240 --> 00:00:33,920 Speaker 1: and medical questions. How often are you getting online and 8 00:00:34,040 --> 00:00:35,880 Speaker 1: asking it something about your health? 9 00:00:36,800 --> 00:00:38,040 Speaker 2: I've certainly done it before. 10 00:00:38,120 --> 00:00:41,320 Speaker 3: Yeah, yeah, no, I've had some medical issues, and you know, 11 00:00:42,320 --> 00:00:45,159 Speaker 3: it is not uncommon to have something wrong with you 12 00:00:45,200 --> 00:00:47,000 Speaker 3: physically and you go to the doctor and they're like, 13 00:00:47,320 --> 00:00:49,239 Speaker 3: and we're not quite sure here, we need to run 14 00:00:49,280 --> 00:00:51,000 Speaker 3: some more tests. And then they run some more tests. 15 00:00:51,000 --> 00:00:53,080 Speaker 3: They're like, we really don't know what's going on. When 16 00:00:53,080 --> 00:00:55,040 Speaker 3: you get to that point, I'm like, okay, let's see 17 00:00:55,080 --> 00:00:57,160 Speaker 3: what Chad. The doctors don't know what's going on, I 18 00:00:57,240 --> 00:00:59,320 Speaker 3: might as well give chat GPT a shot at it 19 00:00:59,720 --> 00:01:01,680 Speaker 3: at this point. And yeah, I have used it for 20 00:01:01,720 --> 00:01:02,920 Speaker 3: that and it has been helpful. 21 00:01:03,440 --> 00:01:06,800 Speaker 1: So it's being used most heavily for advanced research in 22 00:01:06,840 --> 00:01:13,440 Speaker 1: computer science, data science, artificial intelligence, and medical research. Scientists 23 00:01:13,480 --> 00:01:17,679 Speaker 1: are using it to help write and communicate. So they're 24 00:01:17,680 --> 00:01:21,360 Speaker 1: doing their research, putting all the facts into chat GPT 25 00:01:21,560 --> 00:01:25,319 Speaker 1: and saying, write me a synopsis, create a doc for me. 26 00:01:26,080 --> 00:01:30,520 Speaker 3: Another area where chat GPT has really been a huge benefit. 27 00:01:30,560 --> 00:01:32,560 Speaker 3: And this isn't something that not the world that I 28 00:01:32,600 --> 00:01:35,039 Speaker 3: live in, But when it comes into writing computer code, 29 00:01:35,680 --> 00:01:39,000 Speaker 3: it's incredible. How and I know a little bit about it, 30 00:01:39,040 --> 00:01:40,880 Speaker 3: just enough to be dangerous. How you can with the 31 00:01:40,959 --> 00:01:44,600 Speaker 3: right prompts into chat GPT, it will spit out computer 32 00:01:44,680 --> 00:01:47,920 Speaker 3: code in whatever computer language you need to be able 33 00:01:47,920 --> 00:01:49,920 Speaker 3: to execute the thing that you talked about. So much 34 00:01:49,920 --> 00:01:53,360 Speaker 3: so that there's actually a brand new app that you 35 00:01:53,400 --> 00:01:55,200 Speaker 3: can download. I know it's available on the iPhone. I 36 00:01:55,200 --> 00:01:58,120 Speaker 3: don't know about the Android that will build you. It's 37 00:01:58,160 --> 00:02:01,920 Speaker 3: an app that builds apps. Well, it's entirely AI driven, 38 00:02:01,960 --> 00:02:04,240 Speaker 3: there's no there's no human aspect to it at all. 39 00:02:04,400 --> 00:02:07,400 Speaker 3: And you just tell tell the tell the app what 40 00:02:07,480 --> 00:02:10,880 Speaker 3: kind of iPhone app you wanted to build, and it 41 00:02:10,919 --> 00:02:13,160 Speaker 3: will write all the computer code for you to do that. 42 00:02:13,240 --> 00:02:15,040 Speaker 3: It will give you the instructions on how to get 43 00:02:15,080 --> 00:02:17,560 Speaker 3: an account with Apple or you know, a developer account, 44 00:02:17,600 --> 00:02:19,200 Speaker 3: how to upload it so that you can end up 45 00:02:19,240 --> 00:02:20,359 Speaker 3: on the Apple Store. 46 00:02:20,480 --> 00:02:22,679 Speaker 1: I did that on a drive home from Washington, d C. 47 00:02:22,840 --> 00:02:25,079 Speaker 1: We were visiting my brother and my sister in law, 48 00:02:25,120 --> 00:02:27,600 Speaker 1: and she was like having this problem, and she said, 49 00:02:27,639 --> 00:02:30,000 Speaker 1: you're you're good with the technology. You want to you 50 00:02:30,040 --> 00:02:32,880 Speaker 1: make an app for this and make us a million dollars. 51 00:02:33,160 --> 00:02:37,560 Speaker 1: And literally on the drive from DC home to Indianapolis, 52 00:02:37,639 --> 00:02:41,520 Speaker 1: I started tinkering around, and within a couple hours I 53 00:02:41,680 --> 00:02:43,400 Speaker 1: pretty much had. 54 00:02:43,240 --> 00:02:45,480 Speaker 2: The layout of an entire app, and like. 55 00:02:45,480 --> 00:02:48,200 Speaker 1: You mentioned, it gave me the code on what to 56 00:02:48,280 --> 00:02:51,520 Speaker 1: implement and what software to download and how to do it. 57 00:02:51,800 --> 00:02:54,600 Speaker 1: I wasn't quick enough, though, because within a week somebody 58 00:02:54,600 --> 00:02:57,560 Speaker 1: else had taken the exact same idea and there's a 59 00:02:57,600 --> 00:02:59,799 Speaker 1: fully functioning app doing the same thing. 60 00:03:00,040 --> 00:03:00,880 Speaker 2: That's what I was going to say. 61 00:03:00,919 --> 00:03:02,760 Speaker 3: You kind of buried the lead in there that you 62 00:03:02,960 --> 00:03:05,079 Speaker 3: I wasn't quick enough, but something that your sister in 63 00:03:05,120 --> 00:03:08,080 Speaker 3: law said that she's got a million dollar idea for 64 00:03:08,160 --> 00:03:09,399 Speaker 3: an app and you pulled it off. 65 00:03:09,440 --> 00:03:13,960 Speaker 2: I was like, that sounds amazing. Where's the million dollars? 66 00:03:14,040 --> 00:03:14,920 Speaker 2: That drive just. 67 00:03:15,000 --> 00:03:19,080 Speaker 1: Wasn't quite long enough. We needed just another hour. You 68 00:03:19,120 --> 00:03:21,720 Speaker 1: thought you'd never hear me say that the drive was 69 00:03:21,919 --> 00:03:22,240 Speaker 1: that the. 70 00:03:22,280 --> 00:03:24,200 Speaker 2: Drive back from the East coast wasn't long enough. 71 00:03:24,200 --> 00:03:26,880 Speaker 1: Now it's plenty long enough, especially on the roads here 72 00:03:27,160 --> 00:03:32,440 Speaker 1: in Indiana. So researchers using AI to tackle problems also 73 00:03:33,080 --> 00:03:37,040 Speaker 1: interpret complex data and also speed up experiments. That is 74 00:03:37,080 --> 00:03:39,800 Speaker 1: one thing that you can do with the AI is 75 00:03:40,520 --> 00:03:44,560 Speaker 1: load in any sort of complex problem and it's able 76 00:03:44,600 --> 00:03:48,120 Speaker 1: to help you out. Now, the issue is that you 77 00:03:48,280 --> 00:03:52,000 Speaker 1: have to tell it to use language that's easy to understand, 78 00:03:52,320 --> 00:03:54,840 Speaker 1: because if it's truly a complex problem that you need 79 00:03:54,920 --> 00:03:58,080 Speaker 1: AI's help with, are you going to understand the answer? 80 00:03:58,760 --> 00:04:04,080 Speaker 3: I understand and I completely get the large segment of 81 00:04:04,120 --> 00:04:08,120 Speaker 3: the public that is reticent about AI, that wants nothing 82 00:04:08,160 --> 00:04:10,120 Speaker 3: to do with it, that thinks it's going to be, 83 00:04:10,240 --> 00:04:14,120 Speaker 3: you know, cultural and civilizational downfall, and it might end 84 00:04:14,160 --> 00:04:16,440 Speaker 3: up being that way, but it is coming. It is 85 00:04:16,480 --> 00:04:20,400 Speaker 3: coming fast and hard, and and for those that don't 86 00:04:20,440 --> 00:04:22,560 Speaker 3: have some sort of understanding of it are just going 87 00:04:22,640 --> 00:04:25,360 Speaker 3: to get left behind. Look, I'm not a huge fan 88 00:04:25,440 --> 00:04:27,520 Speaker 3: of it, but it's here, and if you don't know 89 00:04:27,520 --> 00:04:29,360 Speaker 3: how to use it to the best of your ability, 90 00:04:29,400 --> 00:04:31,039 Speaker 3: you don't know how to integrate it into the current 91 00:04:31,120 --> 00:04:34,279 Speaker 3: job that you're doing. This is going to move very fast. 92 00:04:34,279 --> 00:04:36,480 Speaker 3: I'm talking about like the next couple of years. Here 93 00:04:36,680 --> 00:04:40,400 Speaker 3: it is going to start dramatically reshaping society. Up until 94 00:04:40,400 --> 00:04:42,960 Speaker 3: this point, it has gone from being a cute little 95 00:04:43,000 --> 00:04:49,320 Speaker 3: toy to being you know, a minor benefit that in 96 00:04:49,320 --> 00:04:49,719 Speaker 3: the next. 97 00:04:49,600 --> 00:04:53,200 Speaker 1: Time, now you have scientists using it increase forty seven percent. 98 00:04:53,680 --> 00:04:56,039 Speaker 2: It is going to start in the past year. 99 00:04:56,200 --> 00:04:58,120 Speaker 3: It is in the next couple of years we are 100 00:04:58,160 --> 00:05:02,080 Speaker 3: going to start seeing dramatic changes, dramatic changes to our 101 00:05:02,080 --> 00:05:05,600 Speaker 3: culture as AI just becomes better and used by more 102 00:05:05,640 --> 00:05:07,160 Speaker 3: and more people and more and more companies. 103 00:05:07,279 --> 00:05:10,479 Speaker 1: So you had Elon Musk when he was speaking at Davos, Switzerland, 104 00:05:10,600 --> 00:05:13,000 Speaker 1: saying that AI is going to be smarter than humans 105 00:05:13,000 --> 00:05:14,000 Speaker 1: by the end of this year. 106 00:05:14,080 --> 00:05:15,880 Speaker 3: By the end of this year, he said, AI will 107 00:05:15,920 --> 00:05:18,080 Speaker 3: be smarter than the smartest human on the planet, and 108 00:05:18,120 --> 00:05:20,359 Speaker 3: in the next one to two years, AI will be 109 00:05:20,480 --> 00:05:24,440 Speaker 3: smarter than the entire collective intelligence of all humans on 110 00:05:24,480 --> 00:05:24,760 Speaker 3: this kes. 111 00:05:24,880 --> 00:05:27,480 Speaker 1: You wonder who is the smartest human on Earth? And 112 00:05:28,800 --> 00:05:30,800 Speaker 1: besides an IQ test, how do you judge that? 113 00:05:30,920 --> 00:05:32,960 Speaker 2: I did not claim it IQ test. I am the 114 00:05:33,080 --> 00:05:37,640 Speaker 2: smartest human. I dare you to prove me wrong. It's 115 00:05:37,680 --> 00:05:42,480 Speaker 2: like it's like Michael Scott in the office. I declare bankruptcy, 116 00:05:43,440 --> 00:05:45,520 Speaker 2: I declare I am the smartest human. 117 00:05:45,720 --> 00:05:46,200 Speaker 1: Uh huh