1 00:00:00,000 --> 00:00:02,720 Hey everyone and welcome to this deep dive. 2 00:00:02,720 --> 00:00:05,680 We're gonna be looking at whether AI can actually spark 3 00:00:05,680 --> 00:00:07,320 a revolution in science. 4 00:00:07,320 --> 00:00:08,520 A big question. 5 00:00:08,520 --> 00:00:11,200 It is a really big question and we're gonna be drawing 6 00:00:11,200 --> 00:00:13,280 on an economist video that we watched. 7 00:00:14,320 --> 00:00:17,240 Some research papers that frankly made my head spin 8 00:00:17,240 --> 00:00:19,440 a little bit and some real world stories too 9 00:00:19,440 --> 00:00:20,680 that are gonna have you thinking, 10 00:00:20,680 --> 00:00:23,000 is this sci-fi or is this really happening? 11 00:00:23,000 --> 00:00:24,960 Yeah, it's a question with huge implications. 12 00:00:24,960 --> 00:00:27,880 I mean, are we on the cusp of this like golden age 13 00:00:27,880 --> 00:00:31,680 of discovery all driven by AI or is this just, 14 00:00:31,680 --> 00:00:33,640 you know, another wave of hype? 15 00:00:33,640 --> 00:00:34,840 We gotta examine the evidence. 16 00:00:34,840 --> 00:00:35,960 Yeah, exactly. 17 00:00:35,960 --> 00:00:38,960 And I thought a good place to start would be with this story 18 00:00:38,960 --> 00:00:40,280 that I read about Andy Davies, 19 00:00:40,280 --> 00:00:42,000 who's a former British soldier. 20 00:00:42,000 --> 00:00:44,200 He was diagnosed with this condition called 21 00:00:44,200 --> 00:00:46,400 idiopathic pulmonary fibrosis. 22 00:00:46,400 --> 00:00:47,240 IPF. 23 00:00:47,240 --> 00:00:48,640 Yeah, IPF, it's a lung condition. 24 00:00:48,640 --> 00:00:49,480 It's a tough one. 25 00:00:49,480 --> 00:00:50,320 Yeah, it is. 26 00:00:50,320 --> 00:00:51,720 And you know, the prognosis isn't great. 27 00:00:51,720 --> 00:00:53,880 There's no known cure. 28 00:00:53,880 --> 00:00:55,560 It is a devastating disease. 29 00:00:55,560 --> 00:00:57,680 But Andy's story is a really interesting one 30 00:00:57,680 --> 00:01:02,520 because it kind of highlights how AI is changing the game 31 00:01:02,520 --> 00:01:04,120 when it comes to drug discovery. 32 00:01:05,120 --> 00:01:07,440 So there's this company called Encylical Medicine 33 00:01:07,440 --> 00:01:11,160 and they're using AI to develop a new treatment for IPF. 34 00:01:11,160 --> 00:01:12,000 Wait, hold on. 35 00:01:12,000 --> 00:01:13,800 They're developing a new treatment using AI. 36 00:01:13,800 --> 00:01:14,760 What's the catch? 37 00:01:14,760 --> 00:01:17,320 Well, the catch is that there isn't one. 38 00:01:17,320 --> 00:01:18,920 At least not in the traditional sense. 39 00:01:18,920 --> 00:01:19,760 I mean, think about it. 40 00:01:19,760 --> 00:01:22,640 They developed this treatment in just 18 months 41 00:01:22,640 --> 00:01:24,440 at a cost of $3 million. 42 00:01:24,440 --> 00:01:25,360 18 months? 43 00:01:25,360 --> 00:01:26,200 Yeah. 44 00:01:26,200 --> 00:01:27,040 And $3 million. 45 00:01:27,040 --> 00:01:27,880 That's crazy. 46 00:01:27,880 --> 00:01:28,720 I know, right. 47 00:01:28,720 --> 00:01:30,520 Compared to the traditional way of doing things. 48 00:01:30,520 --> 00:01:31,520 Oh my gosh, yeah. 49 00:01:31,520 --> 00:01:33,480 I mean, you're talking about over a decade 50 00:01:33,480 --> 00:01:36,200 and billions of dollars with traditional drug development. 51 00:01:36,200 --> 00:01:37,240 Wow. 52 00:01:37,240 --> 00:01:38,280 It's a huge difference. 53 00:01:38,280 --> 00:01:39,440 It is massive difference. 54 00:01:39,440 --> 00:01:41,760 So how is AI actually doing this? 55 00:01:41,760 --> 00:01:44,280 I mean, is it like we've got some supercomputer 56 00:01:44,280 --> 00:01:46,520 that's just like spitting out these miracle cures? 57 00:01:46,520 --> 00:01:47,360 Yeah. 58 00:01:47,360 --> 00:01:48,960 Well, it's a little more nuanced than that. 59 00:01:48,960 --> 00:01:52,160 You know, AI isn't replacing scientists. 60 00:01:52,160 --> 00:01:55,480 It's more like it's amplifying their abilities. 61 00:01:55,480 --> 00:01:57,600 So I think a good analogy here would be like, 62 00:01:57,600 --> 00:01:59,160 imagine traditional drug discovery 63 00:01:59,160 --> 00:02:01,240 is like trying to find a needle in a haystack. 64 00:02:01,240 --> 00:02:02,080 Right. 65 00:02:02,080 --> 00:02:03,240 AI is like having a metal detector 66 00:02:03,240 --> 00:02:05,400 that tells you exactly where that needle is. 67 00:02:05,400 --> 00:02:06,240 You know what I mean? 68 00:02:06,240 --> 00:02:07,080 Yeah. 69 00:02:07,080 --> 00:02:11,640 So in Silicone's AI, it can analyze these huge data sets 70 00:02:11,640 --> 00:02:14,160 to find these promising drug candidates. 71 00:02:14,160 --> 00:02:16,720 And it just cuts down on all that time 72 00:02:16,720 --> 00:02:19,280 and all that cost that goes into drug development normally. 73 00:02:19,280 --> 00:02:19,800 OK. 74 00:02:19,800 --> 00:02:20,320 That makes sense. 75 00:02:20,320 --> 00:02:21,560 But is this just like a one-off? 76 00:02:21,560 --> 00:02:24,080 Is AI being used in other areas of science? 77 00:02:24,080 --> 00:02:24,400 Oh, no. 78 00:02:24,400 --> 00:02:25,960 This is just the tip of the iceberg. 79 00:02:25,960 --> 00:02:26,460 Yeah. 80 00:02:26,460 --> 00:02:28,200 You're seeing AI pop up everywhere, 81 00:02:28,200 --> 00:02:30,160 you know, from analyzing protein structures 82 00:02:30,160 --> 00:02:31,880 to making microscopes even better. 83 00:02:31,880 --> 00:02:33,920 You're familiar with Google DeepMind's Alpha Folder. 84 00:02:33,920 --> 00:02:34,400 Yeah. 85 00:02:34,400 --> 00:02:36,800 It's been making a lot of noise because it can predict 86 00:02:36,800 --> 00:02:39,520 protein shapes with crazy accuracy. 87 00:02:39,520 --> 00:02:40,760 Yeah, I read about that. 88 00:02:40,760 --> 00:02:42,560 So what's the big deal about protein shapes? 89 00:02:42,560 --> 00:02:43,400 Why should I care? 90 00:02:43,400 --> 00:02:45,760 Well, if you understand a protein's shape, 91 00:02:45,760 --> 00:02:49,360 it's like having the blueprint to what it does, to its function. 92 00:02:49,360 --> 00:02:51,360 It's super important if you want to design drugs. 93 00:02:51,360 --> 00:02:53,680 If you want to understand diseases. 94 00:02:53,680 --> 00:02:54,040 Right. 95 00:02:54,040 --> 00:02:55,600 I mean, it's basically like unlocking 96 00:02:55,600 --> 00:02:57,800 the secrets of life itself. 97 00:02:57,800 --> 00:02:58,640 Wow. 98 00:02:58,640 --> 00:03:00,560 I know, on Alpha Fold, it's already 99 00:03:00,560 --> 00:03:03,120 helped researchers to figure out this one protein that's 100 00:03:03,120 --> 00:03:05,840 really important for the malaria parasite. 101 00:03:05,840 --> 00:03:08,280 And it could lead to new treatments. 102 00:03:08,280 --> 00:03:08,720 Wow. 103 00:03:08,720 --> 00:03:11,240 So AI is giving scientists superpowers 104 00:03:11,240 --> 00:03:13,720 to understand the building blocks of life. 105 00:03:13,720 --> 00:03:14,920 Pretty much. 106 00:03:14,920 --> 00:03:15,920 And it gets even cooler. 107 00:03:15,920 --> 00:03:19,400 They're using AI to make images from electron microscopes 108 00:03:19,400 --> 00:03:21,520 even better, like way better. 109 00:03:21,520 --> 00:03:23,440 They're getting super resolution images. 110 00:03:23,440 --> 00:03:25,480 Like details that were never possible before. 111 00:03:25,480 --> 00:03:27,240 So wait, it's not just making things bigger. 112 00:03:27,240 --> 00:03:29,440 It's making the images themselves clearer. 113 00:03:29,440 --> 00:03:31,440 Yeah, it's like AI can look at a blurry picture 114 00:03:31,440 --> 00:03:33,160 and fill in the blanks. 115 00:03:33,160 --> 00:03:34,600 It can recognize patterns. 116 00:03:34,600 --> 00:03:37,280 It's analyzed tons of similar images. 117 00:03:37,280 --> 00:03:40,320 And it can just extrapolate the missing information 118 00:03:40,320 --> 00:03:42,320 and create these really detailed pictures. 119 00:03:42,320 --> 00:03:43,120 Wow. 120 00:03:43,120 --> 00:03:45,800 And you see this being used in lots of areas. 121 00:03:45,800 --> 00:03:47,360 Material science, biology. 122 00:03:47,360 --> 00:03:50,560 So we've got AI finding new drugs. 123 00:03:50,560 --> 00:03:52,720 It's predicting protein structures. 124 00:03:52,720 --> 00:03:55,640 It's giving us superpowers with microscopes. 125 00:03:55,640 --> 00:03:59,600 What else is on the AI menu of breakthroughs in science? 126 00:03:59,600 --> 00:04:02,200 Well, imagine if you could have AI 127 00:04:02,200 --> 00:04:05,000 that could go through millions of research papers 128 00:04:05,000 --> 00:04:06,640 and connect the dots, right? 129 00:04:06,640 --> 00:04:10,000 Generate new hypotheses that humans might have missed. 130 00:04:10,000 --> 00:04:11,400 Well, they're already doing that. 131 00:04:11,400 --> 00:04:14,080 It's called literature-based discovery. 132 00:04:14,080 --> 00:04:17,200 It's like having a research assistant that never has to sleep. 133 00:04:17,200 --> 00:04:19,960 So instead of researchers being in the library for years, 134 00:04:19,960 --> 00:04:21,960 AI can just kind of do that work for them. 135 00:04:21,960 --> 00:04:22,520 Exactly. 136 00:04:22,520 --> 00:04:26,000 AI can analyze a huge amount of scientific literature. 137 00:04:26,000 --> 00:04:28,160 It can identify patterns and connections 138 00:04:28,160 --> 00:04:30,080 and even come up with new ideas for research 139 00:04:30,080 --> 00:04:33,680 that could lead to discoveries that might have taken humans 140 00:04:33,680 --> 00:04:34,960 decades to make on their own. 141 00:04:34,960 --> 00:04:36,920 It's like a fast track to breakthroughs. 142 00:04:36,920 --> 00:04:37,680 Yeah, kind of. 143 00:04:37,680 --> 00:04:40,320 This is starting to sound a lot like that sci-fi future 144 00:04:40,320 --> 00:04:41,520 we were talking about at the start. 145 00:04:41,520 --> 00:04:42,720 I know, right? 146 00:04:42,720 --> 00:04:43,840 And there's more. 147 00:04:43,840 --> 00:04:47,080 Scientists are using AI to analyze animal communication. 148 00:04:47,080 --> 00:04:47,760 Wait, what? 149 00:04:47,760 --> 00:04:49,000 Like Dr. Doolittle? 150 00:04:49,000 --> 00:04:51,360 Not quite talking to animals yet. 151 00:04:51,360 --> 00:04:54,080 But we're getting closer to understanding them. 152 00:04:54,080 --> 00:04:57,520 AI is helping us to decode all those complex vocalizations 153 00:04:57,520 --> 00:04:58,120 they use. 154 00:04:58,120 --> 00:04:58,720 OK. 155 00:04:58,720 --> 00:05:01,080 For example, researchers, they used AI. 156 00:05:01,080 --> 00:05:05,720 And they figured out that wolves howl with different accents. 157 00:05:05,720 --> 00:05:08,480 Yeah, suggesting that they have regional dialects, 158 00:05:08,480 --> 00:05:09,560 just like humans. 159 00:05:09,560 --> 00:05:12,320 So we're learning about wolf culture through AI. 160 00:05:12,320 --> 00:05:13,040 Exactly. 161 00:05:13,040 --> 00:05:14,480 That's kind of mind-blowing. 162 00:05:14,480 --> 00:05:14,920 It is. 163 00:05:14,920 --> 00:05:15,240 It is. 164 00:05:15,240 --> 00:05:17,800 And they're even using AI to try to figure out sperm whale 165 00:05:17,800 --> 00:05:18,440 communication. 166 00:05:18,440 --> 00:05:19,480 Sperm whales. 167 00:05:19,480 --> 00:05:21,640 Yeah, they had these crazy complex vocalizations. 168 00:05:21,640 --> 00:05:22,760 Yeah, they're very smart. 169 00:05:22,760 --> 00:05:23,120 Yeah. 170 00:05:23,120 --> 00:05:26,840 And AI is helping researchers to identify patterns 171 00:05:26,840 --> 00:05:29,080 and maybe even grammatical structures 172 00:05:29,080 --> 00:05:30,720 in those clicks and whistles. 173 00:05:30,720 --> 00:05:31,200 Wow. 174 00:05:31,200 --> 00:05:33,880 So are we going to be having conversations whales anytime 175 00:05:33,880 --> 00:05:34,240 soon? 176 00:05:34,240 --> 00:05:36,360 Well, conversations might be a bit of a stretch. 177 00:05:36,360 --> 00:05:37,000 OK. 178 00:05:37,000 --> 00:05:39,320 But AI is definitely giving us a peek 179 00:05:39,320 --> 00:05:40,880 into the minds of these creatures. 180 00:05:40,880 --> 00:05:41,560 Yeah. 181 00:05:41,560 --> 00:05:42,240 And who knows? 182 00:05:42,240 --> 00:05:43,960 Maybe one day we will be able to understand 183 00:05:43,960 --> 00:05:45,720 their language and all those mysteries of the deep. 184 00:05:45,720 --> 00:05:48,400 I'm definitely getting caught up in all this AI excitement. 185 00:05:48,400 --> 00:05:51,800 It feels like we're about to unlock this whole other level 186 00:05:51,800 --> 00:05:53,520 of understanding of the world. 187 00:05:53,520 --> 00:05:55,600 It really is a transformative time in science. 188 00:05:55,600 --> 00:05:58,840 But before we get too carried away, 189 00:05:58,840 --> 00:06:01,160 we do need to think about some of the downsides 190 00:06:01,160 --> 00:06:02,920 of this whole AI revolution. 191 00:06:02,920 --> 00:06:04,680 Yeah, it can all be good. 192 00:06:04,680 --> 00:06:07,240 So what are some of the things we need to watch out for? 193 00:06:07,240 --> 00:06:10,960 Well, one of the concerns is that AI could be misused. 194 00:06:10,960 --> 00:06:11,440 OK. 195 00:06:11,440 --> 00:06:14,800 Especially when it comes to things like fraudulent research. 196 00:06:14,800 --> 00:06:19,200 There have been cases of people submitting AI-generated text 197 00:06:19,200 --> 00:06:20,920 to scientific journals. 198 00:06:20,920 --> 00:06:21,600 Really? 199 00:06:21,600 --> 00:06:22,000 Yeah. 200 00:06:22,000 --> 00:06:25,440 And it raises questions about the integrity of research 201 00:06:25,440 --> 00:06:26,600 in this age of AI. 202 00:06:26,600 --> 00:06:26,920 Wait. 203 00:06:26,920 --> 00:06:28,720 People are trying to pass off AI writing 204 00:06:28,720 --> 00:06:30,240 as their own scientific work. 205 00:06:30,240 --> 00:06:31,160 Unfortunately, yeah. 206 00:06:31,160 --> 00:06:32,040 It has happened. 207 00:06:32,040 --> 00:06:34,120 And it really highlights how important it 208 00:06:34,120 --> 00:06:37,600 is to create safeguards and ethical guidelines 209 00:06:37,600 --> 00:06:40,120 to make sure AI isn't being used for bad stuff 210 00:06:40,120 --> 00:06:41,320 in the scientific community. 211 00:06:41,320 --> 00:06:41,880 That makes sense. 212 00:06:41,880 --> 00:06:43,320 So it's not just about the technology. 213 00:06:43,320 --> 00:06:44,360 It's how we use it. 214 00:06:44,360 --> 00:06:48,040 We've talked about the amazing stuff AI can do in science, 215 00:06:48,040 --> 00:06:50,080 but also the ways it could be misused. 216 00:06:50,080 --> 00:06:51,720 It seems like we've got a lot to think about. 217 00:06:51,720 --> 00:06:52,080 We do. 218 00:06:52,080 --> 00:06:52,480 We do. 219 00:06:52,480 --> 00:06:54,080 So I think a good question to ask 220 00:06:54,080 --> 00:06:58,880 is can AI actually usher in a new scientific revolution? 221 00:06:58,880 --> 00:07:00,560 Or is this just hype? 222 00:07:00,560 --> 00:07:02,320 Yeah, that's the big question, isn't it? 223 00:07:02,320 --> 00:07:02,720 It is. 224 00:07:02,720 --> 00:07:03,720 And to get to the bottom of that, 225 00:07:03,720 --> 00:07:04,960 we need to dig a little deeper. 226 00:07:04,960 --> 00:07:05,800 All right, listeners. 227 00:07:05,800 --> 00:07:06,600 Buckle up. 228 00:07:06,600 --> 00:07:08,560 We're just getting started. 229 00:07:08,560 --> 00:07:11,640 Welcome back to our deep dive into the AI revolution 230 00:07:11,640 --> 00:07:13,320 happening in science. 231 00:07:13,320 --> 00:07:14,720 Before the break, we were talking 232 00:07:14,720 --> 00:07:16,880 about all the cool things AI is doing, 233 00:07:16,880 --> 00:07:20,120 like finding new drugs and figuring out how whales talk. 234 00:07:20,120 --> 00:07:22,920 But now I want to ask, can AI really 235 00:07:22,920 --> 00:07:26,400 create a whole new scientific revolution? 236 00:07:26,400 --> 00:07:27,960 Yeah, that's a question everyone's asking. 237 00:07:27,960 --> 00:07:30,120 Scientists, tech people, everyone. 238 00:07:30,120 --> 00:07:32,840 There's a lot of excitement, but also some healthy skepticism. 239 00:07:32,840 --> 00:07:34,640 We've seen some really impressive things. 240 00:07:34,640 --> 00:07:38,880 But can AI really make those big aha discoveries, 241 00:07:38,880 --> 00:07:41,400 you know, the ones that change how we understand the world? 242 00:07:41,400 --> 00:07:43,560 Yeah, like when I think scientific revolution, 243 00:07:43,560 --> 00:07:45,920 I think headlines like AI cures cancer, 244 00:07:45,920 --> 00:07:48,560 or robot scientists discovers a new element. 245 00:07:48,560 --> 00:07:50,360 Are we talking about that level of change? 246 00:07:50,360 --> 00:07:52,880 Well, those headlines might be a few years away. 247 00:07:52,880 --> 00:07:54,600 But the potential is there. 248 00:07:54,600 --> 00:07:56,040 I think the real revolution might not 249 00:07:56,040 --> 00:07:59,120 be about single, huge discoveries, 250 00:07:59,120 --> 00:08:02,520 but about a total change in how science is done. 251 00:08:02,520 --> 00:08:05,560 Imagine AI becoming the ultimate research partner, 252 00:08:05,560 --> 00:08:08,080 making every part of the process faster, 253 00:08:08,080 --> 00:08:10,480 from coming up with ideas to running experiments 254 00:08:10,480 --> 00:08:11,800 to analyzing data. 255 00:08:11,800 --> 00:08:14,200 So like AI isn't replacing scientists. 256 00:08:14,200 --> 00:08:15,880 It's like a super powered assistant that 257 00:08:15,880 --> 00:08:18,120 helps us do what we do best. 258 00:08:18,120 --> 00:08:19,360 Exactly. 259 00:08:19,360 --> 00:08:22,040 AI can do the hard work, going through tons of data, 260 00:08:22,040 --> 00:08:25,120 finding patterns we might miss, even running experiments 261 00:08:25,120 --> 00:08:26,040 all day and night. 262 00:08:26,040 --> 00:08:28,800 That frees up scientists to focus on the big picture, 263 00:08:28,800 --> 00:08:31,120 the creative stuff, the why behind the what. 264 00:08:31,120 --> 00:08:32,520 Yeah, that makes sense. 265 00:08:32,520 --> 00:08:34,320 AI can crunch the numbers, but it still 266 00:08:34,320 --> 00:08:36,520 takes a human to understand them to see the connections 267 00:08:36,520 --> 00:08:37,600 and what it all means. 268 00:08:37,600 --> 00:08:39,880 Right, and science isn't just about data and algorithms. 269 00:08:39,880 --> 00:08:43,280 It's about curiosity, intuition, those flashes 270 00:08:43,280 --> 00:08:45,520 of inspiration that lead to new ideas. 271 00:08:45,520 --> 00:08:47,840 And those are things that are unique to humans. 272 00:08:47,840 --> 00:08:49,760 One thing that was really interesting in the research 273 00:08:49,760 --> 00:08:52,640 we did was this idea that AI could actually 274 00:08:52,640 --> 00:08:55,160 help fix some of the problems in science today, 275 00:08:55,160 --> 00:08:57,520 like that reproducibility crisis we talked about. 276 00:08:57,520 --> 00:08:59,280 It's kind of ironic, isn't it? 277 00:08:59,280 --> 00:09:01,840 This new tech might help solve a problem that's 278 00:09:01,840 --> 00:09:04,400 caused by humans making mistakes. 279 00:09:04,400 --> 00:09:07,960 AI research can be more easily reproduced. 280 00:09:07,960 --> 00:09:10,120 Robots don't mess with data. 281 00:09:10,120 --> 00:09:11,920 They don't let ego get in the way, 282 00:09:11,920 --> 00:09:14,240 and they don't get tired of repeating experiments 283 00:09:14,240 --> 00:09:15,680 to make sure the results are right. 284 00:09:15,680 --> 00:09:17,440 It's like having a built-in fact checker 285 00:09:17,440 --> 00:09:18,560 for every experiment. 286 00:09:18,560 --> 00:09:21,120 That could be huge for making people trust science again, 287 00:09:21,120 --> 00:09:23,840 which, let's face it, has taken some hits lately. 288 00:09:23,840 --> 00:09:24,920 Exactly. 289 00:09:24,920 --> 00:09:28,240 AI could help bring back that strictness and reliability 290 00:09:28,240 --> 00:09:30,800 that's so important for science to move forward 291 00:09:30,800 --> 00:09:32,480 and to get people to believe in it again. 292 00:09:32,480 --> 00:09:34,920 OK, so there's potential for faster discoveries, 293 00:09:34,920 --> 00:09:37,600 fixing problems in the system, even making science cool 294 00:09:37,600 --> 00:09:38,720 again, maybe. 295 00:09:38,720 --> 00:09:40,560 But what about those robot scientists? 296 00:09:40,560 --> 00:09:42,880 Are they coming for our jobs? 297 00:09:42,880 --> 00:09:45,040 Yes, the robot takeover. 298 00:09:45,040 --> 00:09:47,840 That work Andy Cooper is doing at the University of Liverpool 299 00:09:47,840 --> 00:09:48,920 is a good example. 300 00:09:48,920 --> 00:09:50,440 He created these robot chemists that 301 00:09:50,440 --> 00:09:53,040 can do hundreds of experiments all on their own, 302 00:09:53,040 --> 00:09:54,640 controlled by AI. 303 00:09:54,640 --> 00:09:57,720 So it's like having super efficient PhD students working 304 00:09:57,720 --> 00:10:00,080 24-7, never needing a coffee break? 305 00:10:00,080 --> 00:10:01,080 Yeah, something like that. 306 00:10:01,080 --> 00:10:03,280 And the impact could be huge. 307 00:10:03,280 --> 00:10:04,920 They're not just speeding things up. 308 00:10:04,920 --> 00:10:07,440 They're opening up whole new ways to do research. 309 00:10:07,440 --> 00:10:08,840 Oh, so. 310 00:10:08,840 --> 00:10:11,440 Well, imagine a robot trying to find a new catalyst 311 00:10:11,440 --> 00:10:13,000 for clean energy. 312 00:10:13,000 --> 00:10:14,840 It could run thousands of experiments, 313 00:10:14,840 --> 00:10:17,800 testing different combinations of elements and conditions, 314 00:10:17,800 --> 00:10:20,120 analyzing everything, and learning from the data. 315 00:10:20,120 --> 00:10:23,600 Humans just can't do that kind of massive experimentation. 316 00:10:23,600 --> 00:10:25,280 So they could find things we wouldn't even 317 00:10:25,280 --> 00:10:26,440 think to look for. 318 00:10:26,440 --> 00:10:27,360 Exactly. 319 00:10:27,360 --> 00:10:30,640 And they're not limited by our preconceptions or biases. 320 00:10:30,640 --> 00:10:32,800 They can explore in ways we just can't. 321 00:10:32,800 --> 00:10:35,320 OK, robot scientists are pushing the limits of what's 322 00:10:35,320 --> 00:10:36,880 possible in the lab. 323 00:10:36,880 --> 00:10:38,680 But what about human scientists? 324 00:10:38,680 --> 00:10:40,320 Are we going to be out of a job? 325 00:10:40,320 --> 00:10:41,920 A lot of people are asking that, but I 326 00:10:41,920 --> 00:10:43,560 think it's the wrong question. 327 00:10:43,560 --> 00:10:45,200 It's not humans versus robots. 328 00:10:45,200 --> 00:10:47,280 It's humans working with robots. 329 00:10:47,280 --> 00:10:48,760 So more like teamwork. 330 00:10:48,760 --> 00:10:49,920 Exactly. 331 00:10:49,920 --> 00:10:53,520 Think of robot scientists as our partners, our assistants, 332 00:10:53,520 --> 00:10:55,760 freeing us from the boring stuff so we can focus 333 00:10:55,760 --> 00:10:58,760 on the really interesting and creative parts of science. 334 00:10:58,760 --> 00:11:00,320 Yeah, it's not about being replaced. 335 00:11:00,320 --> 00:11:03,120 It's about having new tools that make us better. 336 00:11:03,120 --> 00:11:03,480 Right. 337 00:11:03,480 --> 00:11:06,200 And don't forget, science is a human endeavor. 338 00:11:06,200 --> 00:11:08,640 It's driven by our curiosity, our passion 339 00:11:08,640 --> 00:11:12,280 to understand the world, and our desire to make things better. 340 00:11:12,280 --> 00:11:14,160 Robots can't copy that. 341 00:11:14,160 --> 00:11:17,240 So the future of science is exciting, but a little bit. 342 00:11:17,240 --> 00:11:18,280 Robotic. 343 00:11:18,280 --> 00:11:19,680 It's definitely exciting. 344 00:11:19,680 --> 00:11:21,640 There are challenges, for sure. 345 00:11:21,640 --> 00:11:24,560 But I believe the good things about AI outweigh the risks. 346 00:11:24,560 --> 00:11:27,440 OK, but before we get too lost in all the potential, 347 00:11:27,440 --> 00:11:29,400 I think we need to bring this back down to Earth 348 00:11:29,400 --> 00:11:30,840 to the individual listener. 349 00:11:30,840 --> 00:11:33,840 What does this all mean for you, the person listening right now? 350 00:11:33,840 --> 00:11:34,920 That's a great point. 351 00:11:34,920 --> 00:11:37,280 It's easy to get lost in the big picture, 352 00:11:37,280 --> 00:11:41,360 but the real impact of AI will be felt in people's everyday lives. 353 00:11:41,360 --> 00:11:44,680 So let's talk about how this revolution might actually affect you. 354 00:11:44,680 --> 00:11:47,880 All right, listeners, get ready for the personal deep dive. 355 00:11:47,880 --> 00:11:50,520 Now things are getting real. 356 00:11:50,520 --> 00:11:52,480 Welcome back to the deep dive. 357 00:11:52,480 --> 00:11:56,640 We've really been exploring how AI is shaking things up in science, 358 00:11:56,640 --> 00:11:59,320 from those robot chemists to the possibility 359 00:11:59,320 --> 00:12:02,080 of completely revolutionary discoveries. 360 00:12:02,080 --> 00:12:04,360 Yeah, we've talked about the big picture, all the possibilities, 361 00:12:04,360 --> 00:12:05,320 and the challenges, too. 362 00:12:05,320 --> 00:12:07,280 But I think now let's focus on some areas 363 00:12:07,280 --> 00:12:09,960 where AI could make a real difference and soon. 364 00:12:09,960 --> 00:12:11,040 OK, so where should we start? 365 00:12:11,040 --> 00:12:14,240 What fields are about to be totally transformed? 366 00:12:14,240 --> 00:12:17,280 One that I'm really excited about is personalized medicine. 367 00:12:17,280 --> 00:12:20,120 Like, imagine treatments that are designed just for you, 368 00:12:20,120 --> 00:12:21,680 based on your genes, your lifestyle, 369 00:12:21,680 --> 00:12:23,080 all those unique things about you. 370 00:12:23,080 --> 00:12:25,280 So not a one-size-fits-all approach anymore. 371 00:12:25,280 --> 00:12:25,960 Exactly. 372 00:12:25,960 --> 00:12:29,080 AI could analyze tons of data about you, your DNA, 373 00:12:29,080 --> 00:12:31,320 your medical history, your daily habits, 374 00:12:31,320 --> 00:12:33,160 and create a treatment that's perfect for you 375 00:12:33,160 --> 00:12:36,200 so it works best, and you have fewer side effects. 376 00:12:36,200 --> 00:12:38,040 That sounds straight out of sci-fi, 377 00:12:38,040 --> 00:12:39,400 but it's really happening now. 378 00:12:39,400 --> 00:12:40,480 It's still early. 379 00:12:40,480 --> 00:12:42,880 But yeah, the potential is huge. 380 00:12:42,880 --> 00:12:45,880 Like, AI is already being used to figure out 381 00:12:45,880 --> 00:12:49,280 who will respond well to certain cancer treatments 382 00:12:49,280 --> 00:12:51,160 so they don't get unnecessary side effects, 383 00:12:51,160 --> 00:12:52,840 and they have a better chance of beating it. 384 00:12:52,840 --> 00:12:54,240 That's amazing. 385 00:12:54,240 --> 00:12:56,480 So it's helping doctors make better choices 386 00:12:56,480 --> 00:12:58,160 and giving patients a fighting chance 387 00:12:58,160 --> 00:12:59,960 against these tough diseases. 388 00:12:59,960 --> 00:13:01,480 That's the idea. 389 00:13:01,480 --> 00:13:03,840 And as AI gets even smarter about analyzing 390 00:13:03,840 --> 00:13:05,840 that complex biological data, 391 00:13:05,840 --> 00:13:08,080 we'll see even more personalized ways 392 00:13:08,080 --> 00:13:09,720 to treat all sorts of things, 393 00:13:09,720 --> 00:13:13,080 heart disease, diabetes, even Alzheimer's. 394 00:13:13,080 --> 00:13:14,720 Okay, personalized medicine is definitely 395 00:13:14,720 --> 00:13:15,680 at the top of my list. 396 00:13:15,680 --> 00:13:16,520 What else is coming up? 397 00:13:16,520 --> 00:13:18,160 Well, we've talked about climate change, 398 00:13:18,160 --> 00:13:20,520 and AI could have a big role there, too. 399 00:13:20,520 --> 00:13:22,040 It could help us find more efficient ways 400 00:13:22,040 --> 00:13:25,160 to use renewable energy, cut down on our energy use, 401 00:13:25,160 --> 00:13:27,440 and even suck carbon right out of the atmosphere. 402 00:13:27,440 --> 00:13:29,440 So instead of just talking about the problem, 403 00:13:29,440 --> 00:13:31,160 AI could actually help us fix it. 404 00:13:31,160 --> 00:13:32,000 Exactly. 405 00:13:32,000 --> 00:13:33,760 It could help us make clean energy cheaper 406 00:13:33,760 --> 00:13:35,040 and easier to get, 407 00:13:35,040 --> 00:13:37,800 so we don't have to rely on fossil fuels so much. 408 00:13:37,800 --> 00:13:40,640 It may even undo some of the damage we've already done. 409 00:13:40,640 --> 00:13:41,480 That's good to hear. 410 00:13:41,480 --> 00:13:43,280 We definitely need all the help we can get with that one. 411 00:13:43,280 --> 00:13:44,200 For sure. 412 00:13:44,200 --> 00:13:47,080 And don't forget about space exploration. 413 00:13:47,080 --> 00:13:49,360 Think about AI-powered robots 414 00:13:49,360 --> 00:13:51,560 exploring distant planets and moons, 415 00:13:51,560 --> 00:13:53,920 collecting data, and doing experiments 416 00:13:53,920 --> 00:13:55,800 that would be impossible for humans. 417 00:13:55,800 --> 00:13:57,760 Like sending our robot buddies out there 418 00:13:57,760 --> 00:13:59,520 to do the exploring for us? 419 00:13:59,520 --> 00:14:01,360 Count me in. 420 00:14:01,360 --> 00:14:03,760 But seriously, what kind of amazing things 421 00:14:03,760 --> 00:14:04,920 could they do out there? 422 00:14:04,920 --> 00:14:06,120 Okay, picture this. 423 00:14:06,120 --> 00:14:09,800 A robot geologist with all these AI-powered sensors 424 00:14:09,800 --> 00:14:13,240 and tools landing on Mars and looking for signs of life, 425 00:14:13,240 --> 00:14:14,400 even ancient life. 426 00:14:14,400 --> 00:14:15,800 He could analyze rocks, 427 00:14:15,800 --> 00:14:18,280 find tiny amounts of organic molecules, 428 00:14:18,280 --> 00:14:20,840 even drill into the ground for samples. 429 00:14:20,840 --> 00:14:21,960 That kind of exploration 430 00:14:21,960 --> 00:14:24,160 could completely change our understanding of Mars, 431 00:14:24,160 --> 00:14:26,320 and maybe even tell us if we're alone in the universe. 432 00:14:26,320 --> 00:14:27,640 Whoa, it makes you realize 433 00:14:27,640 --> 00:14:30,680 how much we still don't know about our own solar system, 434 00:14:30,680 --> 00:14:32,120 let alone what's beyond that. 435 00:14:32,120 --> 00:14:33,920 And that's what makes it so exciting. 436 00:14:33,920 --> 00:14:37,160 AI is giving us the tools to explore the unknown, 437 00:14:37,160 --> 00:14:38,880 push the boundaries of knowledge, 438 00:14:38,880 --> 00:14:41,280 and find things we never even thought possible. 439 00:14:41,280 --> 00:14:45,080 It's like we're pioneers with AI as our guide and our map. 440 00:14:45,080 --> 00:14:46,880 But all those ethical questions we talked about 441 00:14:46,880 --> 00:14:48,320 keep coming back. 442 00:14:48,320 --> 00:14:51,560 How do we make sure all this power is used for good? 443 00:14:51,560 --> 00:14:54,720 That's the tough question, and there's no easy answer. 444 00:14:54,720 --> 00:14:58,800 Scientists, policymakers, everyone really needs to work together 445 00:14:58,800 --> 00:15:01,040 to make sure AI is developed and used 446 00:15:01,040 --> 00:15:02,960 in a way that benefits all of humanity. 447 00:15:02,960 --> 00:15:06,800 So what can we as individuals do to be responsible 448 00:15:06,800 --> 00:15:08,440 with this powerful technology? 449 00:15:08,440 --> 00:15:11,920 Stay informed, stay curious, read about AI, 450 00:15:11,920 --> 00:15:13,800 learn what it can do, what it can't do, 451 00:15:13,800 --> 00:15:16,720 and join the conversation about the ethics of it all. 452 00:15:16,720 --> 00:15:18,920 Don't just accept everything you see and hear, 453 00:15:18,920 --> 00:15:21,520 think critically, and speak up. 454 00:15:21,520 --> 00:15:23,480 Support people and organizations working 455 00:15:23,480 --> 00:15:25,600 to make sure AI is used for good. 456 00:15:25,600 --> 00:15:27,880 You know, it strikes me that this AI revolution 457 00:15:27,880 --> 00:15:29,640 isn't just about the tech itself, 458 00:15:29,640 --> 00:15:32,080 it's about us and what kind of future we want. 459 00:15:32,080 --> 00:15:33,080 You're absolutely right. 460 00:15:33,080 --> 00:15:34,560 It's a tool, and like any tool, 461 00:15:34,560 --> 00:15:35,960 it can be used for good or bad. 462 00:15:35,960 --> 00:15:37,520 It's our choice how we use it. 463 00:15:37,520 --> 00:15:39,080 So what does all this mean for our listeners? 464 00:15:39,080 --> 00:15:41,680 What can they do to be ready for this future 465 00:15:41,680 --> 00:15:43,320 that's changing so fast? 466 00:15:43,320 --> 00:15:44,760 Never stop learning. 467 00:15:44,760 --> 00:15:46,560 Technology is always changing, 468 00:15:46,560 --> 00:15:49,880 so stay curious and keep picking up new skills. 469 00:15:49,880 --> 00:15:52,840 Don't be afraid to try new things and explore new areas. 470 00:15:52,840 --> 00:15:54,800 And don't be intimidated by AI. 471 00:15:54,800 --> 00:15:56,960 It's a tool to help us, not replace us. 472 00:15:56,960 --> 00:15:58,280 Embrace the possibilities, 473 00:15:58,280 --> 00:16:00,480 but keep those potential problems in mind too. 474 00:16:00,480 --> 00:16:01,880 And stay engaged. 475 00:16:01,880 --> 00:16:03,720 This is happening right now, 476 00:16:03,720 --> 00:16:05,600 and it's shaping the world we live in. 477 00:16:05,600 --> 00:16:07,760 Your voice matters, so make sure you use it. 478 00:16:07,760 --> 00:16:10,480 Well said, that's a great note to wrap up on. 479 00:16:10,480 --> 00:16:12,240 This deep dive has been amazing, 480 00:16:12,240 --> 00:16:15,880 really exploring how AI could change science forever, 481 00:16:15,880 --> 00:16:18,240 and maybe even change what it means to be human. 482 00:16:18,240 --> 00:16:20,080 It's been great exploring this with you. 483 00:16:20,080 --> 00:16:21,920 And remember, the future isn't something 484 00:16:21,920 --> 00:16:24,480 that just happens, it's something we make together. 485 00:16:24,480 --> 00:16:26,640 So be curious, be engaged, 486 00:16:26,640 --> 00:16:28,440 and let's create a future where AI 487 00:16:28,440 --> 00:16:30,400 and human ingenuity work together 488 00:16:30,400 --> 00:16:32,880 to make a better world for everyone. 489 00:16:32,880 --> 00:16:34,520 And that's a wrap for this deep dive. 490 00:16:34,520 --> 00:16:53,200 Thanks for joining us.