1 00:00:00,000 --> 00:00:04,000 Hey everyone and welcome back for another deep dive with us. 2 00:00:04,000 --> 00:00:05,720 You know, we love to pick a fascinating topic 3 00:00:05,720 --> 00:00:07,040 and really get into it. 4 00:00:07,040 --> 00:00:11,280 And today is no exception, we were talking about AI, 5 00:00:11,280 --> 00:00:13,520 but not just like, you know, the basics of like 6 00:00:13,520 --> 00:00:14,760 what it is and stuff like that. 7 00:00:14,760 --> 00:00:16,400 We're going way deeper than that. 8 00:00:16,400 --> 00:00:19,120 We're diving into a talk by Mustafa Suleyman. 9 00:00:19,120 --> 00:00:23,160 He's the co-founder of DeepMind and now inflection AI, 10 00:00:23,160 --> 00:00:25,120 DeepMind, like AlphaGoRay. 11 00:00:25,120 --> 00:00:26,960 But this is something way bigger than that. 12 00:00:26,960 --> 00:00:27,880 Yeah, it really is. 13 00:00:27,880 --> 00:00:30,720 And he kicks it off with his anecdote about his nephew, 14 00:00:30,720 --> 00:00:33,440 the six-year-old kid who asked him, what is AI? 15 00:00:33,440 --> 00:00:35,120 Seems like a simple question, right? 16 00:00:35,120 --> 00:00:37,040 But it's interesting because even Suleyman, 17 00:00:37,040 --> 00:00:39,360 like even someone who's at the forefront of the field, 18 00:00:39,360 --> 00:00:42,400 he kind of struggles to give like a clear cut answer, 19 00:00:42,400 --> 00:00:43,240 you know? 20 00:00:43,240 --> 00:00:45,040 An answer that really sums up what they're creating. 21 00:00:45,040 --> 00:00:46,480 Wait, so you're telling me the guy who built 22 00:00:46,480 --> 00:00:47,920 some of the most advanced AI out there 23 00:00:47,920 --> 00:00:48,920 can't explain what it is? 24 00:00:48,920 --> 00:00:50,360 That's kind of crazy when you think about it. 25 00:00:50,360 --> 00:00:51,200 It is. 26 00:00:51,200 --> 00:00:52,280 And it gets right to the heart of the whole thing. 27 00:00:52,280 --> 00:00:53,720 Like what are we making here? 28 00:00:53,720 --> 00:00:57,160 Is it just a tool, a technology, or is it something more? 29 00:00:57,160 --> 00:00:59,000 Suleyman's got this bolder idea. 30 00:00:59,000 --> 00:01:02,360 AI is a new digital species. 31 00:01:02,360 --> 00:01:03,600 Whoa, whoa, whoa, hold on. 32 00:01:03,600 --> 00:01:04,680 A species? 33 00:01:04,680 --> 00:01:07,040 That sounds like something straight out of a movie. 34 00:01:07,040 --> 00:01:08,440 How does he justify that? 35 00:01:08,440 --> 00:01:10,760 Well, he argues that AI isn't static. 36 00:01:10,760 --> 00:01:13,040 It's not like a hammer or a phone or something. 37 00:01:13,040 --> 00:01:17,480 AI is constantly learning, evolving, adapting, 38 00:01:17,480 --> 00:01:19,200 almost like a living thing. 39 00:01:19,200 --> 00:01:21,880 And the way it's going to impact our lives, well, 40 00:01:21,880 --> 00:01:24,440 could be way deeper than any tech we've seen before. 41 00:01:24,440 --> 00:01:25,560 We're not just using AI. 42 00:01:25,560 --> 00:01:26,720 We're going to be living with it. 43 00:01:26,720 --> 00:01:29,120 So it's more like we're building a whole ecosystem, 44 00:01:29,120 --> 00:01:31,200 not just adding a new gadget to our lives. 45 00:01:31,200 --> 00:01:31,960 That's exactly it. 46 00:01:31,960 --> 00:01:33,960 And the speed of this whole thing is insane. 47 00:01:33,960 --> 00:01:36,480 Suleyman points out we've gone from computers 48 00:01:36,480 --> 00:01:39,560 to the internet to AI, all in a pretty short amount of time. 49 00:01:39,560 --> 00:01:41,600 So each wave builds on the last one. 50 00:01:41,600 --> 00:01:44,080 Yeah, and that means things are changing faster than ever. 51 00:01:44,080 --> 00:01:47,520 OK, so if AI is evolving so fast, 52 00:01:47,520 --> 00:01:49,760 and it's becoming this huge part of our lives, 53 00:01:49,760 --> 00:01:51,520 what does that actually look like? 54 00:01:51,520 --> 00:01:53,080 Right, so picture this. 55 00:01:53,080 --> 00:01:55,160 Personal AI assistance for everyone. 56 00:01:55,160 --> 00:01:57,400 And I'm not just talking about Siri or Alexa. 57 00:01:57,400 --> 00:01:59,000 Something way more advanced. 58 00:01:59,000 --> 00:02:02,480 It understands what you need, anticipates what you want, 59 00:02:02,480 --> 00:02:06,080 and helps you navigate your life in ways 60 00:02:06,080 --> 00:02:07,520 we can't even imagine right now. 61 00:02:07,520 --> 00:02:10,120 So having a super smart personal assistant, 62 00:02:10,120 --> 00:02:11,440 that's with you all the time. 63 00:02:11,440 --> 00:02:12,320 But is that all? 64 00:02:12,320 --> 00:02:13,600 Oh, no, not even close. 65 00:02:13,600 --> 00:02:16,560 Think about AI representing entire organizations, 66 00:02:16,560 --> 00:02:18,560 maybe even towns and cities. 67 00:02:18,560 --> 00:02:22,280 Imagine every object has its own AI interface. 68 00:02:22,280 --> 00:02:24,680 Your car, your house. 69 00:02:24,680 --> 00:02:27,080 Everything's connected and talking through AI. 70 00:02:27,080 --> 00:02:30,160 So our whole world has this digital twin. 71 00:02:30,160 --> 00:02:33,440 But are these AIs just going to be these cold, calculating 72 00:02:33,440 --> 00:02:33,920 machines? 73 00:02:33,920 --> 00:02:35,520 That's where it gets really interesting. 74 00:02:35,520 --> 00:02:38,520 Salomon says these AIs, they won't just have high IQ. 75 00:02:38,520 --> 00:02:40,280 They'll have high EQ, too. 76 00:02:40,280 --> 00:02:42,640 So we're talking about companions, confidants, 77 00:02:42,640 --> 00:02:45,280 partners, each one unique and made 78 00:02:45,280 --> 00:02:47,360 for that specific person or group. 79 00:02:47,360 --> 00:02:49,160 So it's not just about what AI can do. 80 00:02:49,160 --> 00:02:50,920 It's about how it connects with us. 81 00:02:50,920 --> 00:02:52,320 Yeah, exactly. 82 00:02:52,320 --> 00:02:53,880 Think about the possibilities. 83 00:02:53,880 --> 00:02:56,640 Personalized tutors that adapt to how you learn. 84 00:02:56,640 --> 00:03:00,120 Medical advice available 24-7, maybe even a therapist that's 85 00:03:00,120 --> 00:03:01,000 always there to listen. 86 00:03:01,000 --> 00:03:03,760 That kind of access could change so many lives. 87 00:03:03,760 --> 00:03:04,400 Absolutely. 88 00:03:04,400 --> 00:03:07,880 But isn't there a risk that we become too reliant on all this? 89 00:03:07,880 --> 00:03:10,600 Like, what if the system crashes or malfunctions? 90 00:03:10,600 --> 00:03:11,360 That's a good point. 91 00:03:11,360 --> 00:03:12,800 And Salomon actually addresses that. 92 00:03:12,800 --> 00:03:14,760 He talks about this concept of a-q. 93 00:03:14,760 --> 00:03:15,480 A-q? 94 00:03:15,480 --> 00:03:16,000 Yeah, that's the answer. 95 00:03:16,000 --> 00:03:16,880 Actions quotient. 96 00:03:16,880 --> 00:03:18,720 OK, this is where it gets really interesting. 97 00:03:18,720 --> 00:03:20,600 What is this a-q thing all about? 98 00:03:20,600 --> 00:03:25,040 Well, a-q is all about the AI's ability to not just exist 99 00:03:25,040 --> 00:03:28,680 in the digital world, but to actually do things 100 00:03:28,680 --> 00:03:29,760 in the real world. 101 00:03:29,760 --> 00:03:30,960 So they're not just thinking. 102 00:03:30,960 --> 00:03:32,400 They're actually doing. 103 00:03:32,400 --> 00:03:33,080 Exactly. 104 00:03:33,080 --> 00:03:37,000 Imagine an AI organizing a community event 105 00:03:37,000 --> 00:03:40,440 or helping you understand a complex medical diagnosis 106 00:03:40,440 --> 00:03:43,440 or even coordinating resources to fight climate change. 107 00:03:43,440 --> 00:03:44,920 The possibilities are huge. 108 00:03:44,920 --> 00:03:46,360 OK, this is all pre-mind-blowing. 109 00:03:46,360 --> 00:03:49,000 But if I'm being honest, it's kind of unsettling, too. 110 00:03:49,000 --> 00:03:51,960 Thinking about AI as a species, that can actually 111 00:03:51,960 --> 00:03:53,480 do things in the real world. 112 00:03:53,480 --> 00:03:55,920 Makes me wonder, like, are we creating something 113 00:03:55,920 --> 00:03:57,360 that could get out of control? 114 00:03:57,360 --> 00:03:58,760 That's a valid concern. 115 00:03:58,760 --> 00:04:02,480 And the whole digital species thing, while it's powerful, 116 00:04:02,480 --> 00:04:04,960 it also forces us to think about the risks that 117 00:04:04,960 --> 00:04:06,240 come with this tech. 118 00:04:06,240 --> 00:04:09,000 Sulima actually talks about this with Chris Anderson, 119 00:04:09,000 --> 00:04:09,880 the head of TED. 120 00:04:09,880 --> 00:04:11,600 So what kind of risks are they talking about? 121 00:04:11,600 --> 00:04:15,040 Well, there's the concern about AI becoming too autonomous, 122 00:04:15,040 --> 00:04:16,760 maybe self-replicating. 123 00:04:16,760 --> 00:04:19,520 Or even developing so fast that it becomes uncontrollable. 124 00:04:19,520 --> 00:04:22,040 So like in those sci-fi movies where the machines take over? 125 00:04:22,040 --> 00:04:22,680 Uh-huh. 126 00:04:22,680 --> 00:04:24,320 Not quite that dramatic. 127 00:04:24,320 --> 00:04:26,840 Sulima knows about these risks, but he 128 00:04:26,840 --> 00:04:28,520 doesn't think they have to happen. 129 00:04:28,520 --> 00:04:31,480 He really emphasizes this idea of safety by design. 130 00:04:31,480 --> 00:04:32,600 Safety by design. 131 00:04:32,600 --> 00:04:36,440 So how do you bake safety into something as complex as AI? 132 00:04:36,440 --> 00:04:39,840 It means building safeguards and ethical considerations 133 00:04:39,840 --> 00:04:42,160 into the AI systems from the very beginning. 134 00:04:42,160 --> 00:04:43,840 Think of it like building a house. 135 00:04:43,840 --> 00:04:45,640 You wouldn't wait till after the roof is on to worry 136 00:04:45,640 --> 00:04:47,080 about the foundation, right? 137 00:04:47,080 --> 00:04:47,760 Makes sense. 138 00:04:47,760 --> 00:04:48,760 Same with AI. 139 00:04:48,760 --> 00:04:52,160 We need to think about safety and ethics every step of the way. 140 00:04:52,160 --> 00:04:54,000 So we're not just building AI that's smart. 141 00:04:54,000 --> 00:04:57,800 We're building AI that's safe and aligned with our values. 142 00:04:57,800 --> 00:04:58,440 Exactly. 143 00:04:58,440 --> 00:05:00,960 And that leads to this really interesting point. 144 00:05:00,960 --> 00:05:02,960 Suliman says, we're not just discovering 145 00:05:02,960 --> 00:05:04,960 a new continent with AI. 146 00:05:04,960 --> 00:05:06,640 We're building one from scratch. 147 00:05:06,640 --> 00:05:09,000 That's a powerful analogy and kind of scary, 148 00:05:09,000 --> 00:05:09,920 if I'm being honest. 149 00:05:09,920 --> 00:05:11,280 Like, are we up to this? 150 00:05:11,280 --> 00:05:13,600 It's a huge responsibility for sure. 151 00:05:13,600 --> 00:05:15,240 But it's also an incredible opportunity. 152 00:05:15,240 --> 00:05:18,000 We have the chance to shape this new world, 153 00:05:18,000 --> 00:05:20,760 to maximize the benefits and minimize the risks. 154 00:05:20,760 --> 00:05:23,280 So it's not about stopping progress. 155 00:05:23,280 --> 00:05:24,680 It's about guiding it. 156 00:05:24,680 --> 00:05:25,520 That's it. 157 00:05:25,520 --> 00:05:28,000 And this leads to something else Suliman talks about, 158 00:05:28,000 --> 00:05:29,840 how we think about data. 159 00:05:29,840 --> 00:05:31,760 That whole data is the new oil thing. 160 00:05:31,760 --> 00:05:33,280 He says that's totally wrong. 161 00:05:33,280 --> 00:05:35,160 OK, so if data is an oil, what is it? 162 00:05:35,160 --> 00:05:38,760 He says it's more like AI is to the mind what 163 00:05:38,760 --> 00:05:40,680 nuclear fusion is to energy. 164 00:05:40,680 --> 00:05:41,880 Wow. 165 00:05:41,880 --> 00:05:44,400 Limitless potential, both positive and negative. 166 00:05:44,400 --> 00:05:46,480 Yeah, that's both exciting and terrifying. 167 00:05:46,480 --> 00:05:47,520 For sure. 168 00:05:47,520 --> 00:05:51,200 So with all this talk about AI as a species 169 00:05:51,200 --> 00:05:55,360 and building this new world, why should the average person care? 170 00:05:55,360 --> 00:05:57,440 Because this isn't just some abstract tech. 171 00:05:57,440 --> 00:05:59,520 We're talking about something that will touch every part 172 00:05:59,520 --> 00:06:03,000 of our lives, our jobs, our relationships, health care, 173 00:06:03,000 --> 00:06:05,000 even how we understand what it means to be human. 174 00:06:05,000 --> 00:06:06,000 So are we doomed? 175 00:06:06,000 --> 00:06:07,040 No, not at all. 176 00:06:07,040 --> 00:06:09,040 Remember, AI is a reflection of us. 177 00:06:09,040 --> 00:06:12,840 We have the power to give it our best qualities, empathy, 178 00:06:12,840 --> 00:06:15,280 kindness, curiosity, creativity. 179 00:06:15,280 --> 00:06:16,800 So it's not about AI taking over. 180 00:06:16,800 --> 00:06:18,800 It's about AI becoming more human. 181 00:06:18,800 --> 00:06:20,400 In a way, yes. 182 00:06:20,400 --> 00:06:24,600 It's about making sure this digital species reflects 183 00:06:24,600 --> 00:06:27,880 the best of who we are, not our worst parts. 184 00:06:27,880 --> 00:06:30,400 That's a much more hopeful way to look at it. 185 00:06:30,400 --> 00:06:31,800 So how do we actually do that? 186 00:06:31,800 --> 00:06:35,000 How do we make sure AI becomes a force for good? 187 00:06:35,000 --> 00:06:36,000 That's a great question. 188 00:06:36,000 --> 00:06:38,480 And that's something we're going to dive into more 189 00:06:38,480 --> 00:06:39,720 in the next part of our deep dive. 190 00:06:39,720 --> 00:06:40,240 Can't wait. 191 00:06:40,240 --> 00:06:42,200 So we're back and ready to keep going deeper 192 00:06:42,200 --> 00:06:45,160 into this whole AI as a digital species thing. 193 00:06:45,160 --> 00:06:46,560 Yeah, it's really a game changer. 194 00:06:46,560 --> 00:06:50,080 Like someone was saying, this isn't just another tech upgrade. 195 00:06:50,080 --> 00:06:53,680 It's something much bigger and potentially more independent. 196 00:06:53,680 --> 00:06:56,680 OK, so we can't just treat it like another app on our phones. 197 00:06:56,680 --> 00:06:57,360 Exactly. 198 00:06:57,360 --> 00:06:59,720 Thinking about it as a species, even if it's digital, 199 00:06:59,720 --> 00:07:03,000 it helps us to see the scale of what we're dealing with. 200 00:07:03,000 --> 00:07:05,360 So we're talking about something that's integrated into almost 201 00:07:05,360 --> 00:07:07,160 every part of our lives. 202 00:07:07,160 --> 00:07:09,120 Don't we need some rules of the road for this? 203 00:07:09,120 --> 00:07:13,160 How do we make sure this digital species doesn't go rogue? 204 00:07:13,160 --> 00:07:15,400 That's exactly what Silliman gets into next. 205 00:07:15,400 --> 00:07:16,840 He talks about some key principles 206 00:07:16,840 --> 00:07:18,880 for developing AI responsibly. 207 00:07:18,880 --> 00:07:20,840 And one of the big ones is transparency. 208 00:07:20,840 --> 00:07:22,280 OK, so what does that mean? 209 00:07:22,280 --> 00:07:25,120 Are we talking about open sourcing all the AI code? 210 00:07:25,120 --> 00:07:27,040 It's more about being able to understand 211 00:07:27,040 --> 00:07:29,320 how AI makes decisions. 212 00:07:29,320 --> 00:07:32,000 So let's say you're applying for a loan 213 00:07:32,000 --> 00:07:35,160 and an AI system denies you. 214 00:07:35,160 --> 00:07:36,320 Would you want to know why? 215 00:07:36,320 --> 00:07:37,400 Yeah, for sure. 216 00:07:37,400 --> 00:07:41,320 Silliman's saying we need to be able to look inside the AI 217 00:07:41,320 --> 00:07:43,200 and understand how it's thinking. 218 00:07:43,200 --> 00:07:45,840 Especially when AI is getting involved in things like health 219 00:07:45,840 --> 00:07:48,880 care and finance, we need to be able to trust it. 220 00:07:48,880 --> 00:07:50,920 Transparency is key for that. 221 00:07:50,920 --> 00:07:52,800 But Silliman doesn't stop there. 222 00:07:52,800 --> 00:07:55,800 He also talks about the importance of collaboration. 223 00:07:55,800 --> 00:07:59,000 Like, this isn't something one company or one country can handle. 224 00:07:59,000 --> 00:08:02,400 We need a global effort to make sure AI is developed safely. 225 00:08:02,400 --> 00:08:04,400 OK, so everyone needs to be on board with this. 226 00:08:04,400 --> 00:08:05,200 Absolutely. 227 00:08:05,200 --> 00:08:07,200 It goes back to that digital species idea. 228 00:08:07,200 --> 00:08:08,640 It's not about freaking people out. 229 00:08:08,640 --> 00:08:10,680 It's about getting everyone talking and working together. 230 00:08:10,680 --> 00:08:11,240 I like that. 231 00:08:11,240 --> 00:08:12,960 So it's about bringing everyone to the table 232 00:08:12,960 --> 00:08:15,280 to figure out the future we want with AI. 233 00:08:15,280 --> 00:08:15,760 Right. 234 00:08:15,760 --> 00:08:17,760 And that brings us to another key point. 235 00:08:17,760 --> 00:08:20,760 Aligning AI development with human values. 236 00:08:20,760 --> 00:08:22,880 So we're not just building AI that's smart. 237 00:08:22,880 --> 00:08:25,720 We're building AI that's ethical and compassionate. 238 00:08:25,720 --> 00:08:28,040 But how do you actually code that? 239 00:08:28,040 --> 00:08:32,400 It's about building systems that are fair, unbiased, 240 00:08:32,400 --> 00:08:34,840 and respectful of human dignity. 241 00:08:34,840 --> 00:08:38,320 It's about using AI to address real problems, 242 00:08:38,320 --> 00:08:41,000 like climate change and poverty. 243 00:08:41,000 --> 00:08:43,960 So we need to make sure AI serves humanity, 244 00:08:43,960 --> 00:08:45,320 not the other way around. 245 00:08:45,320 --> 00:08:45,840 Exactly. 246 00:08:45,840 --> 00:08:49,520 But isn't there a risk that if we try to make AI more human, 247 00:08:49,520 --> 00:08:52,120 we accidentally give it too much power? 248 00:08:52,120 --> 00:08:54,080 Like, at what point does a digital species 249 00:08:54,080 --> 00:08:56,880 stop being a tool and become a potential threat? 250 00:08:56,880 --> 00:08:58,160 That's a really important question. 251 00:08:58,160 --> 00:09:00,960 And it leads to another key point that Silliman makes. 252 00:09:00,960 --> 00:09:02,040 Control. 253 00:09:02,040 --> 00:09:04,200 We want AI to be capable and independent 254 00:09:04,200 --> 00:09:05,080 to a certain extent. 255 00:09:05,080 --> 00:09:06,880 But we also need to stay in control of how 256 00:09:06,880 --> 00:09:08,080 it's developed and used. 257 00:09:08,080 --> 00:09:11,360 So it's like finding that balance between letting AI grow, 258 00:09:11,360 --> 00:09:13,520 but also making sure it stays aligned with our goals. 259 00:09:13,520 --> 00:09:14,040 Exactly. 260 00:09:14,040 --> 00:09:15,880 He uses this analogy of raising a child. 261 00:09:15,880 --> 00:09:16,640 You nurture them. 262 00:09:16,640 --> 00:09:17,440 You guide them. 263 00:09:17,440 --> 00:09:19,000 But ultimately, you want them to become independent 264 00:09:19,000 --> 00:09:20,120 and make their own choices. 265 00:09:20,120 --> 00:09:20,320 Right. 266 00:09:20,320 --> 00:09:21,360 It's the same with AI. 267 00:09:21,360 --> 00:09:23,880 We need to set boundaries and have oversight 268 00:09:23,880 --> 00:09:26,480 to prevent it from becoming uncontrollable or doing 269 00:09:26,480 --> 00:09:28,000 things we don't want it to do. 270 00:09:28,000 --> 00:09:30,880 So who gets to decide where those boundaries are? 271 00:09:30,880 --> 00:09:33,720 And how do we make sure AI is accountable to us? 272 00:09:33,720 --> 00:09:36,480 Those are some of the toughest questions we're facing. 273 00:09:36,480 --> 00:09:38,400 There are no easy answers. 274 00:09:38,400 --> 00:09:41,480 Silliman says we need experts from all different fields. 275 00:09:41,480 --> 00:09:46,000 Ethics, philosophy, law, tech. 276 00:09:46,000 --> 00:09:48,320 Everyone needs to be talking and working together. 277 00:09:48,320 --> 00:09:50,560 So we're kind of writing the rulebook as we go. 278 00:09:50,560 --> 00:09:52,920 But how do we make sure all this talk actually 279 00:09:52,920 --> 00:09:54,280 turns into action? 280 00:09:54,280 --> 00:09:56,520 Silliman's all about being proactive. 281 00:09:56,520 --> 00:09:59,120 We need to think about these things now before it's too late. 282 00:09:59,120 --> 00:10:00,720 So better safe than sorry. 283 00:10:00,720 --> 00:10:01,080 Right. 284 00:10:01,080 --> 00:10:04,280 But AI is evolving so fast, how can we 285 00:10:04,280 --> 00:10:06,560 predict what challenges we'll face down the road? 286 00:10:06,560 --> 00:10:09,200 Well, we can't predict the future, for sure. 287 00:10:09,200 --> 00:10:11,120 But we can learn from the past. 288 00:10:11,120 --> 00:10:13,800 And we can build flexibility into our AI systems 289 00:10:13,800 --> 00:10:15,880 so they can adapt as AI keeps evolving. 290 00:10:15,880 --> 00:10:17,600 So it's like we're building a system that 291 00:10:17,600 --> 00:10:19,520 can change along with the technology. 292 00:10:19,520 --> 00:10:20,400 Exactly. 293 00:10:20,400 --> 00:10:22,320 And that's where the digital species analogy really 294 00:10:22,320 --> 00:10:25,040 comes in handy, just like we manage other species 295 00:10:25,040 --> 00:10:26,120 in our environment. 296 00:10:26,120 --> 00:10:29,040 We need to manage the impact of AI on society. 297 00:10:29,040 --> 00:10:31,240 And make sure it's a positive force in the world. 298 00:10:31,240 --> 00:10:31,560 Right. 299 00:10:31,560 --> 00:10:34,000 Get a constant process of learning and adapting. 300 00:10:34,000 --> 00:10:36,880 So we need to be flexible and ready to adjust our approach 301 00:10:36,880 --> 00:10:38,080 as AI changes. 302 00:10:38,080 --> 00:10:38,600 Exactly. 303 00:10:38,600 --> 00:10:40,520 AI isn't some static thing. 304 00:10:40,520 --> 00:10:43,720 It's a dynamic force that's going to keep shaping our world. 305 00:10:43,720 --> 00:10:43,920 OK. 306 00:10:43,920 --> 00:10:47,040 So we've talked about transparency, collaboration, 307 00:10:47,040 --> 00:10:49,840 human values, control. 308 00:10:49,840 --> 00:10:50,880 That's a lot. 309 00:10:50,880 --> 00:10:52,760 Does Silliman give us any ideas on how 310 00:10:52,760 --> 00:10:54,720 to put all this into practice? 311 00:10:54,720 --> 00:10:55,680 He does. 312 00:10:55,680 --> 00:10:58,360 And it starts with recognizing that we're 313 00:10:58,360 --> 00:11:00,000 at a really important moment. 314 00:11:00,000 --> 00:11:03,720 We have the chance to shape AI in a way that benefits everyone. 315 00:11:03,720 --> 00:11:05,280 But it's going to take a real effort. 316 00:11:05,280 --> 00:11:07,000 So it's not just about the tech itself. 317 00:11:07,000 --> 00:11:08,480 It's about the choices we make. 318 00:11:08,480 --> 00:11:09,560 That's exactly it. 319 00:11:09,560 --> 00:11:11,720 And those choices will determine what kind of future 320 00:11:11,720 --> 00:11:13,720 we get with AI. 321 00:11:13,720 --> 00:11:16,800 So best case scenario, AI helps us solve big problems 322 00:11:16,800 --> 00:11:18,760 and makes our lives better, worst case. 323 00:11:18,760 --> 00:11:20,680 Could create new problems we're not ready for. 324 00:11:20,680 --> 00:11:22,760 It's a lot to think about. 325 00:11:22,760 --> 00:11:25,760 But there's also something really exciting about all this. 326 00:11:25,760 --> 00:11:26,160 Definitely. 327 00:11:26,160 --> 00:11:27,920 Like we're on the verge of something huge. 328 00:11:27,920 --> 00:11:29,640 Silliman feels that too. 329 00:11:29,640 --> 00:11:33,040 He sees the potential for AI to do so much good. 330 00:11:33,040 --> 00:11:35,400 But he's also realistic about the challenges. 331 00:11:35,400 --> 00:11:37,240 So cautiously optimistic. 332 00:11:37,240 --> 00:11:37,640 Yeah. 333 00:11:37,640 --> 00:11:39,200 I think that's a good way to put it. 334 00:11:39,200 --> 00:11:42,040 He believes AI can be a force for good. 335 00:11:42,040 --> 00:11:44,880 But we need to be smart about how we develop it. 336 00:11:44,880 --> 00:11:48,800 So we need to take control and steer AI in the right direction. 337 00:11:48,800 --> 00:11:49,560 That's it. 338 00:11:49,560 --> 00:11:53,680 This whole digital species idea, it's a lot to take in. 339 00:11:53,680 --> 00:11:56,840 Like what does it actually mean for our everyday lives? 340 00:11:56,840 --> 00:11:57,880 That's a great question. 341 00:11:57,880 --> 00:11:59,640 And it leads to this fascinating point 342 00:11:59,640 --> 00:12:02,960 that Silliman makes about how AI could change 343 00:12:02,960 --> 00:12:04,600 how we understand ourselves. 344 00:12:04,600 --> 00:12:05,000 OK. 345 00:12:05,000 --> 00:12:06,000 Now you've got my attention. 346 00:12:06,000 --> 00:12:07,800 AI helping us understand ourselves better. 347 00:12:07,800 --> 00:12:08,520 Oh, yeah. 348 00:12:08,520 --> 00:12:09,440 I'm all ears. 349 00:12:09,440 --> 00:12:10,120 Yeah. 350 00:12:10,120 --> 00:12:12,640 So Silliman thinks that as we create these more and more 351 00:12:12,640 --> 00:12:14,280 advanced AIs, we're going to start 352 00:12:14,280 --> 00:12:16,800 asking some really big questions about what it even 353 00:12:16,800 --> 00:12:18,440 means to be human. 354 00:12:18,440 --> 00:12:21,120 So instead of just teaching AI to act like us, 355 00:12:21,120 --> 00:12:23,560 we're actually learning about ourselves in the process. 356 00:12:23,560 --> 00:12:24,120 Exactly. 357 00:12:24,120 --> 00:12:25,560 That's a cool way to think about it. 358 00:12:25,560 --> 00:12:31,160 We're watching how AI learns, how it solves problems. 359 00:12:31,160 --> 00:12:33,200 How it even interacts with other AIs. 360 00:12:33,200 --> 00:12:36,040 We can learn new things about how our own minds work. 361 00:12:36,040 --> 00:12:39,120 Like how we make decisions and the biases we have. 362 00:12:39,120 --> 00:12:39,480 Right. 363 00:12:39,480 --> 00:12:41,760 Even the whole mystery of consciousness. 364 00:12:41,760 --> 00:12:44,280 It's like AI is giving us this whole new lens 365 00:12:44,280 --> 00:12:45,520 to look at ourselves through. 366 00:12:45,520 --> 00:12:46,920 It is kind of mind blowing. 367 00:12:46,920 --> 00:12:49,240 And it's not just about understanding ourselves better. 368 00:12:49,240 --> 00:12:52,880 It's about using that knowledge to make our lives better. 369 00:12:52,880 --> 00:12:54,560 So how do we do that? 370 00:12:54,560 --> 00:12:59,160 Well, Silliman believes AI can help us overcome our limitations, 371 00:12:59,160 --> 00:13:01,480 enhance our abilities, and unlock new levels 372 00:13:01,480 --> 00:13:03,120 of creativity and innovation. 373 00:13:03,120 --> 00:13:04,920 So it's not about AI replacing us. 374 00:13:04,920 --> 00:13:08,200 It's about AI helping us become even more human. 375 00:13:08,200 --> 00:13:09,680 I think that's a good way to put it. 376 00:13:09,680 --> 00:13:12,480 It's like this collaboration between human and artificial 377 00:13:12,480 --> 00:13:13,240 intelligence. 378 00:13:13,240 --> 00:13:13,740 Right. 379 00:13:13,740 --> 00:13:15,880 Each one bringing its own strengths to the table 380 00:13:15,880 --> 00:13:17,840 to achieve things that neither could do alone. 381 00:13:17,840 --> 00:13:19,320 So it's like a true partnership. 382 00:13:19,320 --> 00:13:20,080 Yeah, exactly. 383 00:13:20,080 --> 00:13:23,120 And that partnership could revolutionize everything. 384 00:13:23,120 --> 00:13:26,640 Imagine working with AI to create a groundbreaking new product 385 00:13:26,640 --> 00:13:29,880 or compose a symphony or even find a cure for a disease. 386 00:13:29,880 --> 00:13:31,720 It sounds like science fiction. 387 00:13:31,720 --> 00:13:34,320 But we're actually getting closer to that reality every day. 388 00:13:34,320 --> 00:13:36,720 The advancements in AI are happening so fast, 389 00:13:36,720 --> 00:13:38,000 it's hard to keep up. 390 00:13:38,000 --> 00:13:40,560 And that's why Silliman is urging us to really engage 391 00:13:40,560 --> 00:13:43,120 in this conversation about AI and its implications. 392 00:13:43,120 --> 00:13:43,680 Yeah. 393 00:13:43,680 --> 00:13:46,320 The decisions we make today will shape the future 394 00:13:46,320 --> 00:13:47,840 for generations to come. 395 00:13:47,840 --> 00:13:49,400 So it's not just about the tech itself. 396 00:13:49,400 --> 00:13:50,800 It's about how we use it. 397 00:13:50,800 --> 00:13:51,120 Right. 398 00:13:51,120 --> 00:13:53,600 And it's about making sure AI is developed and used 399 00:13:53,600 --> 00:13:55,760 in a way that benefits all of humanity. 400 00:13:55,760 --> 00:13:57,720 We need to remember that the future of AI 401 00:13:57,720 --> 00:13:59,280 is not set in stone. 402 00:13:59,280 --> 00:14:01,520 It's being shaped right now by the choices we make. 403 00:14:01,520 --> 00:14:02,240 Absolutely. 404 00:14:02,240 --> 00:14:05,600 So as we wrap up our deep dive into Silliman's vision, 405 00:14:05,600 --> 00:14:08,040 what are some key takeaways for our listeners? 406 00:14:08,040 --> 00:14:11,200 First, AI is not just another piece of technology. 407 00:14:11,200 --> 00:14:13,520 It's a game changer with the potential 408 00:14:13,520 --> 00:14:16,160 to completely transform our world. 409 00:14:16,160 --> 00:14:18,000 It's not about AI replacing humans. 410 00:14:18,000 --> 00:14:20,360 It's about AI augmenting our abilities 411 00:14:20,360 --> 00:14:22,160 and helping us achieve more. 412 00:14:22,160 --> 00:14:24,360 We need to approach AI development 413 00:14:24,360 --> 00:14:27,520 with both a sense of responsibility and optimism, 414 00:14:27,520 --> 00:14:31,640 recognizing the potential risks, while also embracing 415 00:14:31,640 --> 00:14:34,040 the incredible opportunities it presents. 416 00:14:34,040 --> 00:14:36,560 It's up to all of us to shape the future of AI 417 00:14:36,560 --> 00:14:39,120 and ensure that it's a force for good in the world. 418 00:14:39,120 --> 00:14:40,840 If you're interested in learning more about this, 419 00:14:40,840 --> 00:14:43,000 we encourage you to check out Silliman's work, 420 00:14:43,000 --> 00:14:44,280 talk to your friends and family about it, 421 00:14:44,280 --> 00:14:47,080 and stay informed about the latest developments in AI. 422 00:14:47,080 --> 00:14:48,560 The future is being written right now, 423 00:14:48,560 --> 00:14:51,120 and we all have a role to play in shaping it. 424 00:14:51,120 --> 00:14:52,880 Thanks for joining us on this deep dive 425 00:14:52,880 --> 00:14:54,240 into the future of AI. 426 00:14:54,240 --> 00:14:56,040 Until next time, remember, the best way 427 00:14:56,040 --> 00:15:20,040 to predict the future is to create it.