1 00:00:00,000 --> 00:00:03,840 All right, so today we're doing a deep dive on AI and robots, 2 00:00:03,840 --> 00:00:04,840 what it means for you. 3 00:00:04,840 --> 00:00:06,040 You know, everybody's talking about it. 4 00:00:06,040 --> 00:00:07,720 We're really gonna break it down. 5 00:00:07,720 --> 00:00:10,160 We're dissecting a conversation 6 00:00:10,160 --> 00:00:12,480 with MIT physicist, Max Tegmark. 7 00:00:12,480 --> 00:00:13,360 Okay. 8 00:00:13,360 --> 00:00:17,200 And he had a sit down with entrepreneur Patrick Bett-David. 9 00:00:17,200 --> 00:00:19,360 And they talked about all sides of this, you know, 10 00:00:19,360 --> 00:00:22,160 the good, the bad, the ugly, the potential of AI, 11 00:00:22,160 --> 00:00:23,840 especially for business and society. 12 00:00:23,840 --> 00:00:24,680 Right. 13 00:00:24,680 --> 00:00:26,500 So let's jump right in. 14 00:00:26,500 --> 00:00:29,360 Tegmark goes right for the throat, right out of the gate. 15 00:00:29,360 --> 00:00:32,080 He was at a conference and he was talking about someone there 16 00:00:32,080 --> 00:00:34,640 who was a super wealthy individual, 17 00:00:34,640 --> 00:00:35,840 not Elon Musk, by the way. 18 00:00:35,840 --> 00:00:36,680 Okay. 19 00:00:36,680 --> 00:00:39,120 Who was talking about building three billion robots. 20 00:00:39,120 --> 00:00:39,960 Wow. 21 00:00:39,960 --> 00:00:41,320 And not just any robots. 22 00:00:41,320 --> 00:00:43,280 Robots that can outperform humans 23 00:00:43,280 --> 00:00:44,640 in pretty much every task. 24 00:00:44,640 --> 00:00:46,680 Three billion. 25 00:00:46,680 --> 00:00:50,280 That's a workforce larger than any in history. 26 00:00:50,280 --> 00:00:52,080 I mean, you start thinking about it and right away, 27 00:00:52,080 --> 00:00:53,820 the first thing that pops into my mind 28 00:00:53,820 --> 00:00:55,520 is military applications. 29 00:00:55,520 --> 00:00:56,360 Right. 30 00:00:56,360 --> 00:00:58,160 The economic upheaval that could happen. 31 00:00:58,160 --> 00:00:59,760 I mean, what does that even look like? 32 00:00:59,760 --> 00:01:01,440 And then, you know, it sounds crazy, 33 00:01:01,440 --> 00:01:06,000 but even the possibility of societal control by AI. 34 00:01:06,000 --> 00:01:08,160 Yeah, it's like we're stepping into a sci-fi film. 35 00:01:08,160 --> 00:01:09,000 It really is. 36 00:01:09,000 --> 00:01:12,040 And it's interesting because, you know, 37 00:01:12,040 --> 00:01:13,300 to make his point really clear, 38 00:01:13,300 --> 00:01:15,380 Tegmark uses this analogy of fire. 39 00:01:15,380 --> 00:01:17,960 You know, fire's not necessarily good or bad on its own. 40 00:01:17,960 --> 00:01:18,800 Right. 41 00:01:18,800 --> 00:01:20,200 It can warm your home, it can cook your food, 42 00:01:20,200 --> 00:01:21,640 but it can also burn everything down. 43 00:01:21,640 --> 00:01:22,480 Sure can. 44 00:01:22,480 --> 00:01:25,360 And AI, he argues, is the same way. 45 00:01:25,360 --> 00:01:27,040 It's how we use it that determines 46 00:01:27,040 --> 00:01:28,280 whether it's good or bad, 47 00:01:28,280 --> 00:01:29,960 and more importantly, who controls it. 48 00:01:29,960 --> 00:01:32,560 And that's the million dollar question, isn't it? 49 00:01:32,560 --> 00:01:34,840 How do we build in the safeguards, right? 50 00:01:34,840 --> 00:01:36,600 Because right now, 51 00:01:36,600 --> 00:01:38,880 regulations are practically non-existent. 52 00:01:38,880 --> 00:01:39,720 It's true. 53 00:01:39,720 --> 00:01:42,000 So how do we make sure that we're not essentially 54 00:01:42,000 --> 00:01:44,620 handing over incredibly powerful tools 55 00:01:44,620 --> 00:01:46,480 with no instruction manual? 56 00:01:46,480 --> 00:01:47,320 Yeah. 57 00:01:47,320 --> 00:01:48,820 You know, it's like giving someone a loaded weapon 58 00:01:48,820 --> 00:01:49,920 with zero training. 59 00:01:49,920 --> 00:01:50,760 Exactly. 60 00:01:50,760 --> 00:01:52,000 You know, you'd never do that. 61 00:01:52,000 --> 00:01:53,260 And you would hope that, you know, 62 00:01:53,260 --> 00:01:54,560 the people who are developing these things 63 00:01:54,560 --> 00:01:56,760 have, you know, the best intentions at heart, 64 00:01:56,760 --> 00:01:58,600 but how can we be sure, right? 65 00:01:58,600 --> 00:02:00,400 Right, and how do we deal with the reality 66 00:02:00,400 --> 00:02:03,040 that there are powerful players in this game 67 00:02:03,040 --> 00:02:05,600 who may not have those best intentions, right? 68 00:02:05,600 --> 00:02:07,480 Who may be driven by profit, 69 00:02:07,480 --> 00:02:09,560 or other motives that aren't necessarily aligned 70 00:02:09,560 --> 00:02:10,600 with the greater good. 71 00:02:10,600 --> 00:02:11,440 Absolutely. 72 00:02:11,440 --> 00:02:12,440 So yeah, how do we address that? 73 00:02:12,440 --> 00:02:16,880 Tegmark argues that we need AI safety standards, 74 00:02:16,880 --> 00:02:19,320 similar to what we have for medicine or airplanes. 75 00:02:19,320 --> 00:02:22,580 You wouldn't release a drug without rigorous testing, 76 00:02:22,580 --> 00:02:26,200 or let a plane fly without multiple checks, right? 77 00:02:26,200 --> 00:02:28,400 He even brings up the thalidomide tragedy. 78 00:02:28,400 --> 00:02:29,240 Do you remember that? 79 00:02:29,240 --> 00:02:30,880 Yeah, of course. 80 00:02:30,880 --> 00:02:32,960 That was a stark reminder of what happens 81 00:02:32,960 --> 00:02:35,280 when we prioritize profit over safety. 82 00:02:35,280 --> 00:02:37,420 Exactly, and this is a very similar situation 83 00:02:37,420 --> 00:02:40,480 where, you know, things could go very badly 84 00:02:40,480 --> 00:02:42,720 if we don't put the right safeguards in place. 85 00:02:42,720 --> 00:02:45,460 Absolutely, and the potential consequences 86 00:02:45,460 --> 00:02:47,480 are even greater when you think about the scale 87 00:02:47,480 --> 00:02:49,280 and scope of AI. 88 00:02:49,280 --> 00:02:52,000 It's true, but here's where I bet David 89 00:02:52,000 --> 00:02:53,000 pushes back a little bit. 90 00:02:53,000 --> 00:02:53,840 Yeah. 91 00:02:53,840 --> 00:02:55,240 He says, okay, what about lobbying? 92 00:02:55,240 --> 00:02:56,800 What about these powerful industries 93 00:02:56,800 --> 00:02:58,680 that influence regulations, 94 00:02:58,680 --> 00:03:00,480 often with really bad outcomes? 95 00:03:00,480 --> 00:03:01,320 Right. 96 00:03:01,320 --> 00:03:02,480 And then there's the whole global aspect, right? 97 00:03:02,480 --> 00:03:03,320 Right. 98 00:03:03,320 --> 00:03:04,140 What happens when different countries 99 00:03:04,140 --> 00:03:05,200 are playing by different rules? 100 00:03:05,200 --> 00:03:08,240 What if someone decides to build an AI army, 101 00:03:08,240 --> 00:03:10,120 you know, without any oversight? 102 00:03:10,120 --> 00:03:12,200 Yeah, those are very real concerns, 103 00:03:12,200 --> 00:03:14,360 and I appreciate that Bette David is bringing them up. 104 00:03:14,360 --> 00:03:15,200 Yeah. 105 00:03:15,200 --> 00:03:16,020 Because I think it's important 106 00:03:16,020 --> 00:03:17,000 to have those different viewpoints 107 00:03:17,000 --> 00:03:19,720 and to really grapple with the complexity of this issue. 108 00:03:19,720 --> 00:03:20,680 It's not simple. 109 00:03:20,680 --> 00:03:22,480 Not at all, and you know, 110 00:03:22,480 --> 00:03:24,780 Tegmark doesn't shy away from those concerns, 111 00:03:24,780 --> 00:03:27,760 but he does offer a glimmer of optimism. 112 00:03:27,760 --> 00:03:29,000 Okay, I like optimism. 113 00:03:29,000 --> 00:03:31,560 Yeah, well, he says, you know, remember the Cold War? 114 00:03:31,560 --> 00:03:34,120 Remember how the US and the Soviet Union, 115 00:03:34,120 --> 00:03:35,920 even though they were rivals, 116 00:03:35,920 --> 00:03:39,200 they found common ground to avoid nuclear war 117 00:03:39,200 --> 00:03:41,440 because the stakes were just too high for everyone? 118 00:03:41,440 --> 00:03:42,280 Right. 119 00:03:42,280 --> 00:03:44,000 And he's suggesting that maybe, 120 00:03:44,000 --> 00:03:48,040 just maybe, that same logic could apply to AI. 121 00:03:48,040 --> 00:03:49,960 Okay, so he's saying that self-preservation 122 00:03:49,960 --> 00:03:51,640 might be the thing that brings us together. 123 00:03:51,640 --> 00:03:54,300 Exactly, and he even uses China as an example. 124 00:03:54,300 --> 00:03:56,600 They're developing AI at an incredible pace. 125 00:03:56,600 --> 00:03:57,440 They are. 126 00:03:57,440 --> 00:03:59,760 But they're also implementing regulations. 127 00:03:59,760 --> 00:04:02,200 Now, whether those are altruistically motivated, 128 00:04:02,200 --> 00:04:03,560 you know, is debatable. 129 00:04:03,560 --> 00:04:04,400 Right. 130 00:04:04,400 --> 00:04:07,400 The point is, they see the need for some kind of control, 131 00:04:07,400 --> 00:04:09,560 even if it's to maintain their own power, 132 00:04:09,560 --> 00:04:12,760 and that, he argues, is a powerful motivator. 133 00:04:12,760 --> 00:04:13,800 It's true. 134 00:04:13,800 --> 00:04:16,200 So what does all of this mean for, 135 00:04:18,520 --> 00:04:19,960 you know, for the average person? 136 00:04:19,960 --> 00:04:20,800 Right. 137 00:04:20,800 --> 00:04:21,620 What does it mean for our listeners, 138 00:04:21,620 --> 00:04:23,020 especially if they're business owners? 139 00:04:23,020 --> 00:04:26,360 Well, I think Tegmark emphasizes two really important things. 140 00:04:26,360 --> 00:04:27,760 First, don't buy into the hype. 141 00:04:27,760 --> 00:04:28,600 Okay. 142 00:04:28,600 --> 00:04:29,960 It's easy to get caught up in the excitement 143 00:04:29,960 --> 00:04:31,880 or even the fear surrounding AI. 144 00:04:31,880 --> 00:04:32,720 Right. 145 00:04:32,720 --> 00:04:35,080 But he says focus on practical applications. 146 00:04:35,080 --> 00:04:39,280 How can AI enhance your existing workforce, right? 147 00:04:39,280 --> 00:04:41,400 How can it boost your productivity? 148 00:04:41,400 --> 00:04:43,940 It's about augmenting human capabilities, 149 00:04:43,940 --> 00:04:46,520 not replacing humans entirely. 150 00:04:46,520 --> 00:04:47,360 That's a good point, 151 00:04:47,360 --> 00:04:49,520 because I think people get so caught up in the, you know, 152 00:04:49,520 --> 00:04:52,240 the robots are taking over, but it's not that simple. 153 00:04:52,240 --> 00:04:54,000 It's much more nuanced than that. 154 00:04:54,000 --> 00:04:54,940 Exactly. 155 00:04:54,940 --> 00:04:56,400 And that leads to his second point, 156 00:04:56,400 --> 00:04:58,240 which is get expertise. 157 00:04:58,240 --> 00:04:59,080 Okay. 158 00:04:59,080 --> 00:05:00,760 Even having one person on your team 159 00:05:00,760 --> 00:05:04,720 who really understands AI can be incredibly valuable. 160 00:05:04,720 --> 00:05:06,600 It's like having a guide in a foreign country. 161 00:05:06,600 --> 00:05:07,440 Precisely. 162 00:05:07,440 --> 00:05:09,100 They can help you spot opportunities, 163 00:05:09,100 --> 00:05:10,600 avoid costly mistakes, 164 00:05:10,600 --> 00:05:13,480 and really navigate this complex landscape. 165 00:05:13,480 --> 00:05:14,540 So it's about having someone 166 00:05:14,540 --> 00:05:16,780 who can help you see the forest for the trees. 167 00:05:16,780 --> 00:05:17,760 Exactly. 168 00:05:17,760 --> 00:05:19,560 And this isn't just for business owners, by the way. 169 00:05:19,560 --> 00:05:20,580 Yeah. 170 00:05:20,580 --> 00:05:23,560 If you're a parent, this next part is especially important. 171 00:05:23,560 --> 00:05:24,480 Okay. 172 00:05:24,480 --> 00:05:27,080 Tegmark has some really insightful advice. 173 00:05:27,080 --> 00:05:29,440 He says, forget trying to map out 174 00:05:29,440 --> 00:05:31,080 your child's entire career path. 175 00:05:31,080 --> 00:05:32,080 Yeah. 176 00:05:32,080 --> 00:05:34,200 Because the one thing we know about the future 177 00:05:34,200 --> 00:05:36,080 is that it's gonna be defined by change. 178 00:05:36,080 --> 00:05:37,080 Constant change. 179 00:05:37,080 --> 00:05:38,520 So were you saying that adaptability 180 00:05:38,520 --> 00:05:39,640 is the most important skill? 181 00:05:39,640 --> 00:05:40,480 Absolutely. 182 00:05:40,480 --> 00:05:42,680 That and continuous learning, 183 00:05:42,680 --> 00:05:45,120 those are going to be the keys to success 184 00:05:45,120 --> 00:05:46,920 for the next generation. 185 00:05:46,920 --> 00:05:47,800 So instead of saying, you know, 186 00:05:47,800 --> 00:05:49,740 you're gonna be a doctor, you're gonna be a lawyer, 187 00:05:49,740 --> 00:05:52,160 which, you know, who knows if those jobs 188 00:05:52,160 --> 00:05:53,520 will even exist in the same way. 189 00:05:53,520 --> 00:05:54,360 Right. 190 00:05:54,360 --> 00:05:55,640 It's more about saying, okay, 191 00:05:55,640 --> 00:05:57,240 you need to be a lifelong learner, 192 00:05:57,240 --> 00:05:58,680 you need to be adaptable, 193 00:05:58,680 --> 00:06:00,680 and you need to be comfortable with these tools, 194 00:06:00,680 --> 00:06:02,840 like AI, that can help you do that. 195 00:06:02,840 --> 00:06:03,680 Exactly. 196 00:06:03,680 --> 00:06:06,000 It's about empowering them to be the ones 197 00:06:06,000 --> 00:06:07,680 who are shaping the future, 198 00:06:07,680 --> 00:06:09,420 not being shaped by it. 199 00:06:09,420 --> 00:06:10,380 That is powerful. 200 00:06:10,380 --> 00:06:13,200 And, you know, expose them to it early. 201 00:06:13,200 --> 00:06:14,160 Absolutely. 202 00:06:14,160 --> 00:06:16,080 Don't make it this scary, mysterious thing. 203 00:06:16,080 --> 00:06:17,520 The more comfortable they are with it, 204 00:06:17,520 --> 00:06:19,600 the better equipped they'll be to navigate it. 205 00:06:19,600 --> 00:06:21,000 It's not about fearing robots, 206 00:06:21,000 --> 00:06:22,240 but raising a generation 207 00:06:22,240 --> 00:06:24,100 that can work effectively with them. 208 00:06:24,100 --> 00:06:27,160 So how does Tegmark see our place in all of this? 209 00:06:27,160 --> 00:06:28,000 Yeah. 210 00:06:28,000 --> 00:06:29,400 How do we like really truly make sure 211 00:06:29,400 --> 00:06:31,400 that AI stays under human control? 212 00:06:31,400 --> 00:06:34,200 Because that seems to be the big concern, right? 213 00:06:34,200 --> 00:06:35,520 Right, and this is where he leaves us 214 00:06:35,520 --> 00:06:36,920 with a really powerful message. 215 00:06:36,920 --> 00:06:37,760 Yeah. 216 00:06:37,760 --> 00:06:39,520 He reminds us that for most of human history, 217 00:06:39,520 --> 00:06:42,240 we've been at the mercy of forces 218 00:06:42,240 --> 00:06:45,280 that are totally outside of our control, right? 219 00:06:45,280 --> 00:06:47,520 Natural disasters, diseases, 220 00:06:47,520 --> 00:06:49,160 things we have no influence over. 221 00:06:49,160 --> 00:06:50,000 That's true. 222 00:06:50,000 --> 00:06:50,820 It's humbling, isn't it? 223 00:06:50,820 --> 00:06:51,660 It is. 224 00:06:51,660 --> 00:06:52,500 For all our progress, 225 00:06:52,500 --> 00:06:53,320 there's always been this element of, 226 00:06:53,320 --> 00:06:54,560 you know, something bigger than us. 227 00:06:54,560 --> 00:06:55,400 Right. 228 00:06:55,400 --> 00:06:56,480 But here's the thing. 229 00:06:56,480 --> 00:06:59,120 Technology, and AI in particular, 230 00:06:59,120 --> 00:07:00,880 has the potential to change that. 231 00:07:00,880 --> 00:07:01,720 Okay. 232 00:07:01,720 --> 00:07:02,720 For the first time in human history, 233 00:07:02,720 --> 00:07:04,480 we have the ability to not just react 234 00:07:04,480 --> 00:07:05,760 to the world around us, 235 00:07:05,760 --> 00:07:07,320 but to actually shape it. 236 00:07:07,320 --> 00:07:08,440 So we're not just passengers. 237 00:07:08,440 --> 00:07:09,640 We can actually be the drivers. 238 00:07:09,640 --> 00:07:10,520 Exactly. 239 00:07:10,520 --> 00:07:12,040 But, and this is a big but, 240 00:07:12,040 --> 00:07:14,920 with that power comes immense responsibility. 241 00:07:14,920 --> 00:07:15,760 Of course. 242 00:07:15,760 --> 00:07:17,960 The choices we make about AI today 243 00:07:17,960 --> 00:07:20,560 will determine if it becomes our greatest tool 244 00:07:20,560 --> 00:07:22,540 or our downfall. 245 00:07:22,540 --> 00:07:24,440 We're at a critical point, 246 00:07:24,440 --> 00:07:26,680 and what we do next really matters. 247 00:07:26,680 --> 00:07:28,520 And that's something to really think about. 248 00:07:28,520 --> 00:07:29,360 It really is. 249 00:07:29,360 --> 00:07:31,200 It's a lot of responsibility though, isn't it? 250 00:07:31,200 --> 00:07:32,040 It really is. 251 00:07:32,040 --> 00:07:34,720 I mean, do we have the foresight? 252 00:07:34,720 --> 00:07:37,300 Do we even have the courage to do this right? 253 00:07:37,300 --> 00:07:39,280 To steer this technology in a direction 254 00:07:39,280 --> 00:07:40,920 that benefits everybody. 255 00:07:40,920 --> 00:07:43,120 It's easy to get really bogged down, 256 00:07:43,120 --> 00:07:44,560 you know, in the day to day. 257 00:07:44,560 --> 00:07:46,600 Like, oh, this new headline, this new gadget. 258 00:07:46,600 --> 00:07:47,440 Right. 259 00:07:47,440 --> 00:07:49,800 This is about something much, much bigger. 260 00:07:49,800 --> 00:07:52,240 You know, this is about the future that we're creating. 261 00:07:52,240 --> 00:07:53,560 You know, the world that our kids 262 00:07:53,560 --> 00:07:55,360 and our grandkids are gonna inherit. 263 00:07:55,360 --> 00:07:56,200 Absolutely. 264 00:07:56,200 --> 00:07:58,000 And you know what I appreciate about Techmark 265 00:07:58,000 --> 00:08:00,480 is he's not just talking to the tech giants. 266 00:08:00,480 --> 00:08:01,320 Yeah. 267 00:08:01,320 --> 00:08:02,800 He's not just talking to the politicians. 268 00:08:02,800 --> 00:08:04,800 You know, he's talking to all of us. 269 00:08:04,800 --> 00:08:06,640 He's saying, this is a conversation 270 00:08:06,640 --> 00:08:08,040 that we all need to be a part of 271 00:08:08,040 --> 00:08:10,780 because it's gonna take all of us to get this right. 272 00:08:10,780 --> 00:08:12,660 And it's a call to action, right? 273 00:08:12,660 --> 00:08:15,440 Like, we can't just kind of sit back 274 00:08:15,440 --> 00:08:16,680 and hope for the best. 275 00:08:16,680 --> 00:08:17,520 Exactly. 276 00:08:17,520 --> 00:08:18,360 We need to be informed. 277 00:08:18,360 --> 00:08:19,680 We need to be engaged. 278 00:08:19,680 --> 00:08:23,480 We need to be ready to like demand better. 279 00:08:23,480 --> 00:08:24,320 Yeah. 280 00:08:24,320 --> 00:08:25,140 You know? Yes. 281 00:08:25,140 --> 00:08:26,120 From our leaders, from these companies, 282 00:08:26,120 --> 00:08:27,280 even from ourselves, you know? 283 00:08:27,280 --> 00:08:28,120 Absolutely. 284 00:08:28,120 --> 00:08:29,320 It starts with understanding. 285 00:08:29,320 --> 00:08:30,160 Right. 286 00:08:30,160 --> 00:08:30,980 What's at stake. 287 00:08:30,980 --> 00:08:31,820 Yeah. 288 00:08:31,820 --> 00:08:33,280 And then using our voices and our choices 289 00:08:33,280 --> 00:08:36,160 to actually shape that outcome. 290 00:08:36,160 --> 00:08:37,760 Because, you know, it's easy to say, 291 00:08:37,760 --> 00:08:39,480 oh, we need safety standards. 292 00:08:39,480 --> 00:08:41,020 We need ethical guidelines. 293 00:08:41,020 --> 00:08:42,480 We need regulations. 294 00:08:42,480 --> 00:08:43,580 But who makes those? 295 00:08:43,580 --> 00:08:46,100 How do we ensure that those are actually effective? 296 00:08:46,100 --> 00:08:48,000 Because AI is not gonna regulate itself. 297 00:08:48,000 --> 00:08:48,840 Exactly. 298 00:08:48,840 --> 00:08:50,160 It's gonna take a combined effort. 299 00:08:50,160 --> 00:08:51,880 It's individuals, it's organizations, 300 00:08:51,880 --> 00:08:54,200 it's governments around the world all working together. 301 00:08:54,200 --> 00:08:56,560 So this isn't something one country can solve on their own. 302 00:08:56,560 --> 00:08:57,640 Absolutely not. 303 00:08:57,640 --> 00:08:59,940 And, you know, that's why I think these conversations, 304 00:08:59,940 --> 00:09:01,620 these deep dives, they're so important 305 00:09:01,620 --> 00:09:03,520 because we need to shine a light on these issues. 306 00:09:03,520 --> 00:09:04,960 We need to raise awareness 307 00:09:04,960 --> 00:09:07,520 and we need to keep pushing for change. 308 00:09:07,520 --> 00:09:10,760 Because here's the thing, the future of AI, 309 00:09:10,760 --> 00:09:12,600 it's not predetermined. 310 00:09:12,600 --> 00:09:13,440 Right. 311 00:09:13,440 --> 00:09:14,260 It's a choice. 312 00:09:14,260 --> 00:09:15,100 It's a choice we make. 313 00:09:15,100 --> 00:09:15,920 Exactly. 314 00:09:15,920 --> 00:09:17,520 One of the things that really stuck with me 315 00:09:17,520 --> 00:09:19,520 is this emphasis on education. 316 00:09:19,520 --> 00:09:20,360 Yes. 317 00:09:20,360 --> 00:09:23,720 He talks about exposing kids to AI early on, 318 00:09:23,720 --> 00:09:25,480 you know, demystifying it, 319 00:09:25,480 --> 00:09:27,460 empowering them to become the creators, 320 00:09:27,460 --> 00:09:28,880 not just the consumers. 321 00:09:28,880 --> 00:09:31,240 Right, he even uses the phrase team human, you know. 322 00:09:31,240 --> 00:09:32,660 It's not humans versus AI, 323 00:09:32,660 --> 00:09:34,840 it's humans and AI working together. 324 00:09:34,840 --> 00:09:36,520 Imagine that, right? 325 00:09:36,520 --> 00:09:38,560 Leveraging this technology to actually solve 326 00:09:38,560 --> 00:09:40,540 some of the world's biggest problems. 327 00:09:40,540 --> 00:09:43,280 Climate change, poverty, diseases. 328 00:09:43,280 --> 00:09:44,260 It's an amazing thought, 329 00:09:44,260 --> 00:09:47,700 but it's also like a little daunting when you think about it 330 00:09:47,700 --> 00:09:49,860 because, you know, we've talked about the risks, 331 00:09:49,860 --> 00:09:52,140 but now we're talking about actually solving 332 00:09:52,140 --> 00:09:53,980 these huge, huge issues. 333 00:09:53,980 --> 00:09:55,000 It's a lot. 334 00:09:55,000 --> 00:09:56,720 And those risks are real. 335 00:09:56,720 --> 00:09:57,560 Yeah. 336 00:09:57,560 --> 00:09:59,360 You know, Tagmark is very clear about that. 337 00:09:59,360 --> 00:10:02,700 One of the biggest dangers is the potential for misuse. 338 00:10:02,700 --> 00:10:03,540 Right? 339 00:10:03,540 --> 00:10:04,360 Right. 340 00:10:04,360 --> 00:10:05,400 In the wrong hands, 341 00:10:05,400 --> 00:10:09,160 this technology could be used to create autonomous weapons, 342 00:10:09,160 --> 00:10:10,820 to manipulate elections, 343 00:10:10,820 --> 00:10:13,280 to erode our privacy on a massive scale. 344 00:10:13,280 --> 00:10:15,400 Right, so it's like this classic double-edged sword. 345 00:10:15,400 --> 00:10:16,240 Exactly. 346 00:10:16,240 --> 00:10:17,960 Incredible potential for good, 347 00:10:17,960 --> 00:10:20,560 but also for really, really significant harm. 348 00:10:20,560 --> 00:10:22,680 And that's why ethical frameworks are so important. 349 00:10:22,680 --> 00:10:24,520 We need the rules, the regulations, 350 00:10:24,520 --> 00:10:27,280 to make sure that it's developed and used responsibly. 351 00:10:27,280 --> 00:10:29,080 So we can't just assume that everyone's gonna do 352 00:10:29,080 --> 00:10:31,360 the right thing because they can, you know. 353 00:10:31,360 --> 00:10:32,280 Exactly. 354 00:10:32,280 --> 00:10:35,160 We have to be proactive here, not reactive. 355 00:10:35,160 --> 00:10:37,520 We need to be having those tough conversations now 356 00:10:37,520 --> 00:10:39,480 to prevent problems down the road. 357 00:10:39,480 --> 00:10:42,120 And we need to be having them with everybody, 358 00:10:42,120 --> 00:10:44,080 even people that we disagree with. 359 00:10:44,080 --> 00:10:44,920 Yeah. 360 00:10:44,920 --> 00:10:47,200 Because it's very easy to stay in our own bubbles, you know. 361 00:10:47,200 --> 00:10:48,040 Right. 362 00:10:48,040 --> 00:10:49,240 But if we wanna make real progress, 363 00:10:49,240 --> 00:10:51,120 we have to be willing to engage 364 00:10:51,120 --> 00:10:52,680 with these different perspectives, 365 00:10:52,680 --> 00:10:54,040 challenge our own assumptions. 366 00:10:54,040 --> 00:10:55,800 That's where real growth happens, right? 367 00:10:55,800 --> 00:10:57,600 When you've got different voices at the table, 368 00:10:57,600 --> 00:11:00,200 when you've got different viewpoints being considered, 369 00:11:00,200 --> 00:11:02,240 that's when we come up with the most creative, 370 00:11:02,240 --> 00:11:05,400 the most effective solutions to these complex problems. 371 00:11:05,400 --> 00:11:07,480 So it's not just about talking to the people 372 00:11:07,480 --> 00:11:08,840 who already agree with us. 373 00:11:08,840 --> 00:11:09,660 No. 374 00:11:09,660 --> 00:11:13,560 It's about like really being open to learning 375 00:11:13,560 --> 00:11:15,520 from those who see things differently. 376 00:11:15,520 --> 00:11:16,440 Precisely. 377 00:11:16,440 --> 00:11:18,880 And that's tough, you know, especially in today's world 378 00:11:18,880 --> 00:11:22,320 where it feels like everything is so polarized, you know. 379 00:11:22,320 --> 00:11:25,180 It's so easy to just judge or dismiss 380 00:11:25,180 --> 00:11:27,360 or even demonize people who have different views. 381 00:11:27,360 --> 00:11:28,200 Right, right, am I? 382 00:11:28,200 --> 00:11:29,200 Exactly. 383 00:11:29,200 --> 00:11:32,320 But if we're gonna figure this whole AI thing out, 384 00:11:32,320 --> 00:11:34,040 we need to be willing to listen to each other, 385 00:11:34,040 --> 00:11:35,440 to learn from each other, 386 00:11:35,440 --> 00:11:37,360 and to find that common ground. 387 00:11:37,360 --> 00:11:38,840 Because at the end of the day, 388 00:11:38,840 --> 00:11:41,120 this isn't a partisan issue, it's a human issue. 389 00:11:41,120 --> 00:11:41,960 Exactly. 390 00:11:41,960 --> 00:11:44,240 It's about the kind of world we wanna live in, 391 00:11:44,240 --> 00:11:46,000 the future we wanna create. 392 00:11:46,000 --> 00:11:48,280 And that's a future worth fighting for. 393 00:11:48,280 --> 00:11:49,120 I love that. 394 00:11:49,120 --> 00:11:50,360 So like, how do we do it? 395 00:11:50,360 --> 00:11:53,240 How do we as individuals actually make a difference? 396 00:11:53,240 --> 00:11:55,360 Because sometimes it feels a little overwhelming, right? 397 00:11:55,360 --> 00:11:57,560 It's like, does my voice really matter? 398 00:11:57,560 --> 00:11:59,680 You know, I think that's a common feeling, 399 00:11:59,680 --> 00:12:01,980 but Tegmark seems to believe that we can, 400 00:12:01,980 --> 00:12:04,700 and you know, I agree with him. 401 00:12:04,700 --> 00:12:06,480 And one of the most important things we can do 402 00:12:06,480 --> 00:12:07,800 is to get informed, right? 403 00:12:07,800 --> 00:12:09,520 We need to understand the basics here, 404 00:12:09,520 --> 00:12:13,440 how it works, the potential, the pitfalls. 405 00:12:13,440 --> 00:12:15,680 You know, we need to be able to separate 406 00:12:15,680 --> 00:12:17,400 the hype from the reality. 407 00:12:17,400 --> 00:12:19,640 So no more just like blindly trusting 408 00:12:19,640 --> 00:12:20,840 whatever headline we see, 409 00:12:20,840 --> 00:12:22,400 or whatever pops up on social media. 410 00:12:22,400 --> 00:12:23,220 Exactly. 411 00:12:23,220 --> 00:12:26,160 Become a discerning consumer of information, right? 412 00:12:26,160 --> 00:12:27,560 Once you've got that knowledge, 413 00:12:27,560 --> 00:12:30,240 then you can start using your voice to advocate for change. 414 00:12:30,240 --> 00:12:32,720 Okay, so you're saying like, get informed first. 415 00:12:32,720 --> 00:12:33,560 Yes. 416 00:12:33,560 --> 00:12:36,480 And then what, like, contact our elected officials, 417 00:12:36,480 --> 00:12:38,360 support organizations that are doing good work 418 00:12:38,360 --> 00:12:39,200 in this space. 419 00:12:39,200 --> 00:12:41,120 Absolutely, talk to your friends, talk to your family, 420 00:12:41,120 --> 00:12:42,760 you know, start conversations. 421 00:12:42,760 --> 00:12:44,320 The more people who are informed, 422 00:12:44,320 --> 00:12:46,720 the more likely we are to see real change happen. 423 00:12:46,720 --> 00:12:48,160 So it's about spreading awareness 424 00:12:48,160 --> 00:12:50,640 as much as it is about, you know, anything else. 425 00:12:50,640 --> 00:12:52,920 It really is, and it's not just about 426 00:12:52,920 --> 00:12:54,280 what we do as individuals, 427 00:12:54,280 --> 00:12:56,960 it's also about the choices we make as consumers. 428 00:12:56,960 --> 00:12:58,080 Oh, interesting, okay. 429 00:12:58,080 --> 00:13:00,720 Right, supporting companies that are developing 430 00:13:00,720 --> 00:13:03,160 and using AI ethically, 431 00:13:03,160 --> 00:13:06,520 choosing products and services that align with our values, 432 00:13:06,520 --> 00:13:08,080 it all makes a difference. 433 00:13:08,080 --> 00:13:08,980 So you're saying like, 434 00:13:08,980 --> 00:13:11,020 put your money where your mouth is basically. 435 00:13:11,020 --> 00:13:13,640 Exactly, if we want to see ethical AI, 436 00:13:13,640 --> 00:13:15,720 we need to support the companies 437 00:13:15,720 --> 00:13:16,960 that are trying to make that happen. 438 00:13:16,960 --> 00:13:17,840 Makes sense. 439 00:13:17,840 --> 00:13:18,920 And I would imagine, you know, 440 00:13:18,920 --> 00:13:21,320 demanding transparency from these companies. 441 00:13:21,320 --> 00:13:22,400 Absolutely. 442 00:13:22,400 --> 00:13:24,480 You know, we have a right to know 443 00:13:24,480 --> 00:13:26,000 how our data is being used, 444 00:13:26,000 --> 00:13:27,800 how these algorithms are making decisions 445 00:13:27,800 --> 00:13:29,240 that affect our lives, 446 00:13:29,240 --> 00:13:31,520 what's being done to mitigate the risks. 447 00:13:31,520 --> 00:13:34,280 It's about reclaiming some of that control 448 00:13:34,280 --> 00:13:36,480 that I think we've sort of ceded 449 00:13:36,480 --> 00:13:38,440 to these tech companies and algorithms. 450 00:13:38,440 --> 00:13:40,400 Yes, absolutely. 451 00:13:40,400 --> 00:13:43,960 For too long, we've been passive consumers of technology. 452 00:13:43,960 --> 00:13:46,540 It's time that we become active participants 453 00:13:46,540 --> 00:13:48,800 in shaping the future that we want to see. 454 00:13:48,800 --> 00:13:49,880 I love that. 455 00:13:49,880 --> 00:13:52,720 But let's be real, this is a really complicated issue, 456 00:13:52,720 --> 00:13:54,880 and there's no easy answers. 457 00:13:54,880 --> 00:13:57,400 And there are a lot of different perspectives out there. 458 00:13:57,400 --> 00:14:00,020 It can be tough to know what to believe sometimes. 459 00:14:00,020 --> 00:14:00,920 You're absolutely right. 460 00:14:00,920 --> 00:14:03,200 It can feel overwhelming at times. 461 00:14:03,200 --> 00:14:04,520 But I think that's all the more reason 462 00:14:04,520 --> 00:14:06,040 to keep having these conversations. 463 00:14:06,040 --> 00:14:07,160 Yeah, keep talking about it. 464 00:14:07,160 --> 00:14:09,120 Exactly, we need to talk to each other, 465 00:14:09,120 --> 00:14:11,240 we need to share our hopes and our fears, 466 00:14:11,240 --> 00:14:13,240 and figure out how to move forward together. 467 00:14:13,240 --> 00:14:15,060 Because the future of AI, 468 00:14:15,060 --> 00:14:16,920 this isn't something that's gonna be decided 469 00:14:16,920 --> 00:14:18,840 by a select few, you know. 470 00:14:18,840 --> 00:14:19,680 Right. 471 00:14:19,680 --> 00:14:21,480 This is something that will be shaped by all of us. 472 00:14:21,480 --> 00:14:22,880 This collective responsibility. 473 00:14:22,880 --> 00:14:23,840 Precisely. 474 00:14:23,840 --> 00:14:25,920 And it's one that we can't afford to ignore. 475 00:14:25,920 --> 00:14:27,280 The stakes are just too high. 476 00:14:27,280 --> 00:14:28,840 So where do we even begin? 477 00:14:28,840 --> 00:14:32,040 What are some concrete steps that we can take 478 00:14:32,040 --> 00:14:34,120 to make sure that this technology is developed 479 00:14:34,120 --> 00:14:35,240 and used responsibly? 480 00:14:35,240 --> 00:14:37,260 That is the million dollar question. 481 00:14:37,260 --> 00:14:40,040 And honestly, it deserves a deep dive all on its own. 482 00:14:40,040 --> 00:14:42,920 But I think we can start by looking at a few key areas 483 00:14:42,920 --> 00:14:44,520 where action is needed. 484 00:14:44,520 --> 00:14:49,440 Regulation and governance, education, and public awareness. 485 00:14:49,440 --> 00:14:50,600 Those are kind of the pillars 486 00:14:50,600 --> 00:14:53,280 that will support a responsible AI future. 487 00:14:53,280 --> 00:14:54,920 Okay, so let's start with regulation then. 488 00:14:54,920 --> 00:14:57,920 You know, we've been talking about the need for safeguards, 489 00:14:57,920 --> 00:14:59,640 for ethical guidelines, for rules 490 00:14:59,640 --> 00:15:01,280 to ensure the AI is used for good. 491 00:15:01,280 --> 00:15:03,400 But like, how do we actually make those rules? 492 00:15:03,400 --> 00:15:04,240 Who's in charge here? 493 00:15:04,240 --> 00:15:05,060 And how do we make sure 494 00:15:05,060 --> 00:15:06,440 those regulations are actually effective? 495 00:15:06,440 --> 00:15:08,240 All great questions. 496 00:15:08,240 --> 00:15:11,360 And I think first, we need a little bit of a mindset shift. 497 00:15:11,360 --> 00:15:15,600 You know, regulation, it's not about stifling innovation. 498 00:15:15,600 --> 00:15:18,240 It's about fostering it responsibly. 499 00:15:18,240 --> 00:15:22,120 Think of it like building a guardrail on a mountain road. 500 00:15:22,120 --> 00:15:25,600 You know, it's not there to stop you from enjoying the view. 501 00:15:25,600 --> 00:15:27,880 It's there to keep you from driving off the edge. 502 00:15:27,880 --> 00:15:30,880 It's about putting those safety measures in place 503 00:15:30,880 --> 00:15:32,680 before something bad happens, not after. 504 00:15:32,680 --> 00:15:33,560 Exactly. 505 00:15:33,560 --> 00:15:35,620 So to answer your question about who's responsible, 506 00:15:35,620 --> 00:15:38,160 well, it's gonna take a team effort, right? 507 00:15:38,160 --> 00:15:40,000 Governments are obviously gonna play a key role, 508 00:15:40,000 --> 00:15:41,460 but it can't just be them. 509 00:15:41,460 --> 00:15:44,280 We need the tech companies, we need researchers, 510 00:15:44,280 --> 00:15:46,760 ethicists, the public, all working together. 511 00:15:46,760 --> 00:15:47,600 It's a group effort. 512 00:15:47,600 --> 00:15:48,720 It really is. 513 00:15:48,720 --> 00:15:51,160 It's what we call a multi-stakeholder approach. 514 00:15:51,160 --> 00:15:53,340 And that's the only way we're gonna create regulations 515 00:15:53,340 --> 00:15:55,440 that are comprehensive, that are enforceable, 516 00:15:55,440 --> 00:15:57,560 and that can actually adapt to this, you know, 517 00:15:57,560 --> 00:15:59,280 rapidly changing world of AI. 518 00:15:59,280 --> 00:16:01,480 Because that seems to be one of the biggest challenges, 519 00:16:01,480 --> 00:16:03,600 right, that it's such a moving target. 520 00:16:03,600 --> 00:16:04,440 Absolutely. 521 00:16:04,440 --> 00:16:06,440 It's like trying to hit a moving target, you know? 522 00:16:06,440 --> 00:16:07,280 Yeah. 523 00:16:07,280 --> 00:16:09,480 What seemed like science fiction just a few years ago 524 00:16:09,480 --> 00:16:11,120 is reality today. 525 00:16:11,120 --> 00:16:13,200 So how do you create rules for a game 526 00:16:13,200 --> 00:16:14,840 that's constantly changing? 527 00:16:14,840 --> 00:16:17,520 We need regulations that are flexible enough 528 00:16:17,520 --> 00:16:18,880 to allow for progress, 529 00:16:18,880 --> 00:16:20,960 but also robust enough to address the risks. 530 00:16:20,960 --> 00:16:21,960 That's a tough balance. 531 00:16:21,960 --> 00:16:22,780 It is. 532 00:16:22,780 --> 00:16:25,360 And then you've got the whole global aspect of this too. 533 00:16:25,360 --> 00:16:27,320 AI doesn't respect borders. 534 00:16:27,320 --> 00:16:29,580 What one country regulates might be developed 535 00:16:29,580 --> 00:16:30,760 or deployed in another. 536 00:16:30,760 --> 00:16:33,080 So we need international cooperation on this. 537 00:16:33,080 --> 00:16:35,140 This isn't just about the US figuring this out. 538 00:16:35,140 --> 00:16:37,520 This is about the entire world coming together. 539 00:16:37,520 --> 00:16:38,520 Exactly. 540 00:16:38,520 --> 00:16:40,720 And that's where things get even more complex, right? 541 00:16:40,720 --> 00:16:42,800 Different countries have different values, 542 00:16:42,800 --> 00:16:45,280 different priorities, different approaches. 543 00:16:45,280 --> 00:16:48,500 So, you know, reaching a global consensus on AI 544 00:16:48,500 --> 00:16:50,560 is gonna require a lot of diplomacy, 545 00:16:50,560 --> 00:16:52,040 a lot of collaboration. 546 00:16:52,040 --> 00:16:54,200 Yeah, it's a daunting task for sure. 547 00:16:54,200 --> 00:16:57,480 But it feels essential if we actually wanna make sure 548 00:16:57,480 --> 00:17:00,680 that this technology benefits everybody, you know, 549 00:17:00,680 --> 00:17:03,040 that it's not just benefiting a select few 550 00:17:03,040 --> 00:17:04,640 or one particular country. 551 00:17:04,640 --> 00:17:05,520 Absolutely. 552 00:17:05,520 --> 00:17:08,000 And it's not just about government regulation either. 553 00:17:08,000 --> 00:17:10,400 Industry self-regulation is critical as well. 554 00:17:10,400 --> 00:17:12,680 Okay, so you're talking about the companies themselves 555 00:17:12,680 --> 00:17:14,040 taking some responsibility here. 556 00:17:14,040 --> 00:17:14,880 Exactly. 557 00:17:14,880 --> 00:17:15,840 We need these tech companies 558 00:17:15,840 --> 00:17:18,400 to adopt ethical codes of conduct, 559 00:17:18,400 --> 00:17:20,000 to prioritize transparency, 560 00:17:20,000 --> 00:17:22,000 and to establish best practices. 561 00:17:22,000 --> 00:17:23,580 So even if it's not legally required, 562 00:17:23,580 --> 00:17:25,800 they're kind of holding themselves to a higher standard. 563 00:17:25,800 --> 00:17:27,040 No. Precisely. 564 00:17:27,040 --> 00:17:29,420 It's about going above and beyond 565 00:17:29,420 --> 00:17:31,320 just following the letter of the law 566 00:17:31,320 --> 00:17:34,120 and taking proactive steps to mitigate risks 567 00:17:34,120 --> 00:17:36,400 and prioritize ethical considerations. 568 00:17:36,400 --> 00:17:38,140 So we've got the government setting some boundaries, 569 00:17:38,140 --> 00:17:39,720 we've got these companies kind of holding themselves 570 00:17:39,720 --> 00:17:40,880 to a higher standard. 571 00:17:40,880 --> 00:17:42,560 But what about education? 572 00:17:42,560 --> 00:17:44,040 Where does that fit into all of this? 573 00:17:44,040 --> 00:17:46,080 Education is absolutely vital. 574 00:17:46,080 --> 00:17:47,940 We need to make sure that everybody, 575 00:17:47,940 --> 00:17:49,160 not just the tech experts, 576 00:17:49,160 --> 00:17:52,520 understands the basics of AI, how it works, 577 00:17:52,520 --> 00:17:55,080 its potential impact, the ethical implications. 578 00:17:55,080 --> 00:17:57,600 These are things that everybody should be aware of. 579 00:17:57,600 --> 00:17:59,280 Because it's gonna impact all of us. 580 00:17:59,280 --> 00:18:00,120 It is. 581 00:18:00,120 --> 00:18:01,160 So this isn't just about, you know, 582 00:18:01,160 --> 00:18:04,160 creating a generation of coders and AI developers. 583 00:18:04,160 --> 00:18:07,060 It's about making sure that everyone's AI literate. 584 00:18:07,060 --> 00:18:08,040 Exactly. 585 00:18:08,040 --> 00:18:10,960 It's about empowering people to engage with this technology 586 00:18:10,960 --> 00:18:14,280 in a meaningful way, not just be passive bystanders. 587 00:18:14,280 --> 00:18:16,240 And that education, I'm assuming, 588 00:18:16,240 --> 00:18:18,080 that needs to start early, right? 589 00:18:18,080 --> 00:18:20,880 We should be teaching kids about AI in school 590 00:18:20,880 --> 00:18:22,760 right alongside math and science. 591 00:18:22,760 --> 00:18:23,760 Absolutely. 592 00:18:23,760 --> 00:18:26,100 If we want future generations to be prepared 593 00:18:26,100 --> 00:18:28,540 for an AI-driven world, 594 00:18:28,540 --> 00:18:30,400 they need to understand this technology. 595 00:18:30,400 --> 00:18:32,360 It's gonna shape their lives. 596 00:18:32,360 --> 00:18:33,940 It's gonna be as fundamental as knowing 597 00:18:33,940 --> 00:18:35,660 how to use a computer at this point. 598 00:18:35,660 --> 00:18:37,520 I think so, absolutely. 599 00:18:37,520 --> 00:18:40,080 And it's not just about the technical skills either, right? 600 00:18:40,080 --> 00:18:41,960 It's about critical thinking. 601 00:18:41,960 --> 00:18:44,000 We need to teach kids how to think critically 602 00:18:44,000 --> 00:18:47,320 about the impact of AI, to question assumptions, 603 00:18:47,320 --> 00:18:50,600 to really consider the ethical implications of its use. 604 00:18:50,600 --> 00:18:53,720 To be informed citizens in an AI-driven world. 605 00:18:53,720 --> 00:18:54,680 Exactly. 606 00:18:54,680 --> 00:18:56,840 And that education needs to continue 607 00:18:56,840 --> 00:18:58,440 throughout our lives, by the way. 608 00:18:58,440 --> 00:19:00,160 You know, we're all gonna be lifelong learners here 609 00:19:00,160 --> 00:19:01,360 if we wanna keep up with how quickly 610 00:19:01,360 --> 00:19:02,720 this technology is advancing. 611 00:19:02,720 --> 00:19:05,560 Think of it like, you know, learning a new language. 612 00:19:05,560 --> 00:19:07,280 The world is changing. 613 00:19:07,280 --> 00:19:09,680 And we need to learn the language of AI 614 00:19:09,680 --> 00:19:11,440 if we wanna thrive. 615 00:19:11,440 --> 00:19:12,280 I like that a lot. 616 00:19:12,280 --> 00:19:13,720 And it goes back to that adaptability 617 00:19:13,720 --> 00:19:14,800 that we were talking about earlier. 618 00:19:14,800 --> 00:19:15,620 Exactly. 619 00:19:15,620 --> 00:19:18,080 But it's not just about understanding how AI works. 620 00:19:18,080 --> 00:19:20,840 It's also about having these conversations 621 00:19:20,840 --> 00:19:22,940 about the values and ethics 622 00:19:22,940 --> 00:19:24,440 that are gonna guide its development. 623 00:19:24,440 --> 00:19:25,300 100%. 624 00:19:25,300 --> 00:19:27,280 Technology is never neutral, right? 625 00:19:27,280 --> 00:19:30,640 It always reflects the values of the people who create it 626 00:19:30,640 --> 00:19:33,200 and the context in which it's used. 627 00:19:33,200 --> 00:19:35,560 So we need to be asking ourselves some tough questions. 628 00:19:35,560 --> 00:19:37,080 What are our values? 629 00:19:37,080 --> 00:19:39,000 What kind of future do we wanna create? 630 00:19:39,000 --> 00:19:41,760 And how can we make sure that AI aligns with those values? 631 00:19:41,760 --> 00:19:43,160 Those are big questions, man. 632 00:19:43,160 --> 00:19:46,960 Like, where do we even begin to like, un-tackle that? 633 00:19:46,960 --> 00:19:48,160 It's a lot to grapple with, 634 00:19:48,160 --> 00:19:49,800 but I think it's important to acknowledge 635 00:19:49,800 --> 00:19:54,320 that AI has the potential to amplify existing inequalities 636 00:19:54,320 --> 00:19:57,520 and even create new ones if we're not careful. 637 00:19:57,520 --> 00:19:59,200 We've already seen examples of this, right? 638 00:19:59,200 --> 00:20:02,120 AI systems that exhibit bias, 639 00:20:02,120 --> 00:20:04,200 whether it's facial recognition software 640 00:20:04,200 --> 00:20:05,920 that's less accurate for people of color, 641 00:20:05,920 --> 00:20:08,000 or algorithms that perpetuate 642 00:20:08,000 --> 00:20:09,960 gender stereotypes in hiring. 643 00:20:09,960 --> 00:20:12,320 So it's not enough to just create AI 644 00:20:12,320 --> 00:20:14,880 that's like, technically sophisticated. 645 00:20:14,880 --> 00:20:15,720 No. 646 00:20:15,720 --> 00:20:17,120 We need to make sure that it's also fair, 647 00:20:17,120 --> 00:20:19,240 that it's equitable, that it aligns with our values. 648 00:20:19,240 --> 00:20:21,400 Precisely, and that means being really intentional 649 00:20:21,400 --> 00:20:24,000 about the data that we use to train these systems, 650 00:20:24,000 --> 00:20:25,400 the design choices that we make, 651 00:20:25,400 --> 00:20:29,320 and considering the potential consequences of our actions. 652 00:20:29,320 --> 00:20:31,920 We need to build AI with inclusivity in mind, 653 00:20:31,920 --> 00:20:35,000 considering its impact on everyone, not just a select few. 654 00:20:35,000 --> 00:20:36,680 It's like, we have to bake in those values 655 00:20:36,680 --> 00:20:37,920 from the very beginning. 656 00:20:37,920 --> 00:20:40,640 Exactly, we can't just slap it on as an afterthought. 657 00:20:40,640 --> 00:20:42,920 Right, it's gotta be foundational to the entire process. 658 00:20:42,920 --> 00:20:44,040 That's 100%. 659 00:20:44,040 --> 00:20:45,800 But we talk about all this, 660 00:20:45,800 --> 00:20:48,280 and it feels like such a moving target, right? 661 00:20:48,280 --> 00:20:51,120 How can we possibly stay ahead of the curve 662 00:20:51,120 --> 00:20:54,720 when it comes to the ethics, the values, all of that, 663 00:20:54,720 --> 00:20:57,480 when this technology is changing so rapidly? 664 00:20:57,480 --> 00:20:58,560 It's a great question, 665 00:20:58,560 --> 00:21:01,360 and honestly, it's an ongoing process. 666 00:21:01,360 --> 00:21:03,560 We have to constantly be evaluating 667 00:21:03,560 --> 00:21:07,440 and reevaluating our approach as the technology evolves, 668 00:21:07,440 --> 00:21:11,480 and as our understanding of its impact deepens, right? 669 00:21:11,480 --> 00:21:13,440 This isn't a one and done conversation. 670 00:21:13,440 --> 00:21:14,680 It's a constant evolution. 671 00:21:14,680 --> 00:21:17,160 Exactly, we have to be adaptable 672 00:21:17,160 --> 00:21:19,280 and willing to change course when necessary. 673 00:21:19,280 --> 00:21:21,640 So it's not about finding the perfect solution today. 674 00:21:21,640 --> 00:21:22,480 No. 675 00:21:22,480 --> 00:21:25,480 It's about kind of being willing to adapt 676 00:21:25,480 --> 00:21:26,720 and to learn as we go. 677 00:21:26,720 --> 00:21:28,000 Exactly, it's about the journey 678 00:21:28,000 --> 00:21:30,400 as much as it is about the destination. 679 00:21:30,400 --> 00:21:32,760 You know, hearing you talk about all this, 680 00:21:32,760 --> 00:21:34,280 it really drives home the point 681 00:21:34,280 --> 00:21:36,720 that we're not just along for the ride. 682 00:21:36,720 --> 00:21:39,360 We're not just passengers on this train. 683 00:21:39,360 --> 00:21:41,680 We actually have a say in where it goes. 684 00:21:41,680 --> 00:21:42,680 We absolutely do, 685 00:21:42,680 --> 00:21:44,320 and I think sometimes it's easy to get lost 686 00:21:44,320 --> 00:21:45,560 in the hypothetical, right? 687 00:21:45,560 --> 00:21:46,920 Right, like the what ifs. 688 00:21:46,920 --> 00:21:50,440 Exactly, but let's bring it back down to earth for a minute. 689 00:21:50,440 --> 00:21:52,760 Let's look at some real world examples 690 00:21:52,760 --> 00:21:54,840 of how AI is already being used 691 00:21:54,840 --> 00:21:57,440 to tackle some of the world's biggest challenges, 692 00:21:57,440 --> 00:22:00,880 because we've focused a lot on the potential risks, 693 00:22:00,880 --> 00:22:03,640 the what ifs, the dystopian scenarios, 694 00:22:03,640 --> 00:22:07,400 but AI is being used for good in so many ways as well. 695 00:22:07,400 --> 00:22:08,520 Right, and I think it's important 696 00:22:08,520 --> 00:22:10,800 that we highlight those wins, 697 00:22:10,800 --> 00:22:12,920 those success stories that really show us the power 698 00:22:12,920 --> 00:22:14,040 of this technology, 699 00:22:14,040 --> 00:22:16,600 that it doesn't have to be this scary thing. 700 00:22:16,600 --> 00:22:18,600 It really can be used for good. 701 00:22:18,600 --> 00:22:20,640 It really can, and I think it all comes back 702 00:22:20,640 --> 00:22:22,520 to that human element, right? 703 00:22:22,520 --> 00:22:24,280 We're the ones who ultimately decide 704 00:22:24,280 --> 00:22:25,880 how this technology gets used. 705 00:22:25,880 --> 00:22:28,240 We have the power to steer it 706 00:22:28,240 --> 00:22:30,040 towards a better future for everyone. 707 00:22:30,040 --> 00:22:31,680 So it's not about fearing the machines, 708 00:22:31,680 --> 00:22:33,960 it's about harnessing their power for good. 709 00:22:33,960 --> 00:22:36,160 Exactly, it's about making conscious choices, 710 00:22:36,160 --> 00:22:38,400 about understanding the potential consequences 711 00:22:38,400 --> 00:22:41,000 of our actions and striving to use 712 00:22:41,000 --> 00:22:44,080 this incredible technology for the greater good. 713 00:22:44,080 --> 00:22:45,680 It's challenging for sure, 714 00:22:45,680 --> 00:22:47,920 but ultimately it's a hopeful endeavor. 715 00:22:47,920 --> 00:22:48,760 It is hopeful. 716 00:22:48,760 --> 00:22:51,040 So I guess, let's dive into those examples, shall we? 717 00:22:51,040 --> 00:22:53,120 Let's see how AI is actually being used 718 00:22:53,120 --> 00:22:55,920 in healthcare, in education, 719 00:22:55,920 --> 00:22:57,760 even in tackling climate change 720 00:22:57,760 --> 00:22:59,600 to make a real difference in the world. 721 00:22:59,600 --> 00:23:02,760 Okay, so real world applications of AI for good, 722 00:23:02,760 --> 00:23:04,360 and I think when a lot of people think about this, 723 00:23:04,360 --> 00:23:06,160 the first thing that probably pops into their mind 724 00:23:06,160 --> 00:23:07,000 is healthcare. 725 00:23:07,000 --> 00:23:08,440 Yeah, healthcare is huge. 726 00:23:08,440 --> 00:23:09,760 Yeah, so what are we talking about here? 727 00:23:09,760 --> 00:23:11,320 What are some of the actual ways 728 00:23:11,320 --> 00:23:13,880 that AI is being used to improve people's health? 729 00:23:13,880 --> 00:23:17,720 So one area where AI is already making a huge difference 730 00:23:17,720 --> 00:23:19,440 is in medical imaging. 731 00:23:19,440 --> 00:23:20,280 Okay. 732 00:23:20,280 --> 00:23:22,320 You know, your x-rays, CT scans, MRIs. 733 00:23:22,320 --> 00:23:23,360 Right, everybody's had one. 734 00:23:23,360 --> 00:23:24,520 Right, exactly. 735 00:23:24,520 --> 00:23:28,000 So AI algorithms can now analyze these images 736 00:23:28,000 --> 00:23:30,080 with incredible accuracy. 737 00:23:30,080 --> 00:23:31,840 In fact, you know, they're often even better 738 00:23:31,840 --> 00:23:33,760 than human radiologists at spotting 739 00:23:33,760 --> 00:23:35,520 those really, really tiny details 740 00:23:35,520 --> 00:23:37,360 that might signal a problem. 741 00:23:37,360 --> 00:23:40,080 So it's almost like having a second set of eyes, 742 00:23:40,080 --> 00:23:43,080 a second opinion, and a really highly trained one at that, 743 00:23:43,080 --> 00:23:45,920 kind of helping those doctors make those diagnoses. 744 00:23:45,920 --> 00:23:46,880 Exactly. 745 00:23:46,880 --> 00:23:48,760 It's like having an AI assist, 746 00:23:48,760 --> 00:23:51,920 and it's particularly important for diseases like cancer, 747 00:23:51,920 --> 00:23:54,160 where catching it early can make all the difference. 748 00:23:54,160 --> 00:23:55,000 Right, absolutely. 749 00:23:55,000 --> 00:23:58,080 So AI is helping doctors detect these diseases earlier, 750 00:23:58,080 --> 00:24:00,040 which means more effective treatments, 751 00:24:00,040 --> 00:24:01,560 better chances for patients. 752 00:24:01,560 --> 00:24:02,400 That's amazing. 753 00:24:02,400 --> 00:24:04,040 But it goes beyond just reading images, right? 754 00:24:04,040 --> 00:24:05,240 Oh yeah, absolutely. 755 00:24:05,240 --> 00:24:06,760 It's being used to actually develop 756 00:24:06,760 --> 00:24:08,240 brand new drugs and therapies, 757 00:24:08,240 --> 00:24:10,520 and much faster than we've ever been able to before. 758 00:24:10,520 --> 00:24:11,360 Wow. 759 00:24:11,360 --> 00:24:13,320 So traditionally, you know, drug discovery, 760 00:24:13,320 --> 00:24:16,320 it's a very long process, very expensive, 761 00:24:16,320 --> 00:24:18,280 but AI is really changing the game here. 762 00:24:18,280 --> 00:24:22,360 It can analyze these massive amounts of biological data, 763 00:24:22,360 --> 00:24:25,040 you know, identify potential drug candidates, 764 00:24:25,040 --> 00:24:28,400 even predict their effectiveness, their side effects. 765 00:24:28,400 --> 00:24:30,720 So we're talking about not just treating diseases better, 766 00:24:30,720 --> 00:24:33,720 but potentially like finding cures faster. 767 00:24:33,720 --> 00:24:36,000 Exactly, and it's not just about, you know, 768 00:24:36,000 --> 00:24:37,320 the drugs themselves. 769 00:24:37,320 --> 00:24:39,240 AI is also being used to create 770 00:24:39,240 --> 00:24:41,400 personalized treatment plans for patients. 771 00:24:41,400 --> 00:24:43,120 Okay, so this is like really tailored 772 00:24:43,120 --> 00:24:44,040 to the individual. 773 00:24:44,040 --> 00:24:46,960 Exactly, it considers your unique genetic makeup, 774 00:24:46,960 --> 00:24:49,080 your lifestyle, your medical history, 775 00:24:49,080 --> 00:24:51,320 all of that to tailor the treatment 776 00:24:51,320 --> 00:24:53,040 for maximum effectiveness. 777 00:24:53,040 --> 00:24:55,320 It's like personalized medicine powered by AI. 778 00:24:55,320 --> 00:24:56,160 Exactly. 779 00:24:56,160 --> 00:24:57,000 That's wild. 780 00:24:57,000 --> 00:24:57,920 It's really incredible, 781 00:24:57,920 --> 00:25:00,000 and it has the potential to, you know, 782 00:25:00,000 --> 00:25:02,520 really revolutionize how we approach healthcare as a whole. 783 00:25:02,520 --> 00:25:03,440 That's amazing. 784 00:25:03,440 --> 00:25:06,880 Okay, so healthcare, huge potential there. 785 00:25:06,880 --> 00:25:08,160 What about education? 786 00:25:08,160 --> 00:25:09,440 Because we've talked a lot about, you know, 787 00:25:09,440 --> 00:25:12,040 this idea of lifelong learning in an AI driven world, 788 00:25:12,040 --> 00:25:15,240 but you know, the reality is not everyone has access 789 00:25:15,240 --> 00:25:16,320 to quality education. 790 00:25:16,320 --> 00:25:20,040 So how can AI help kind of level that playing field? 791 00:25:20,040 --> 00:25:21,280 Yeah, that's a great question. 792 00:25:21,280 --> 00:25:23,560 And it's something that I'm really passionate about actually. 793 00:25:23,560 --> 00:25:25,600 So one way that AI can help 794 00:25:25,600 --> 00:25:28,280 is through these personalized learning platforms. 795 00:25:28,280 --> 00:25:30,960 And these platforms use AI to actually adjust 796 00:25:30,960 --> 00:25:33,960 to each student's individual learning style and pace. 797 00:25:33,960 --> 00:25:35,920 So it's like having a tutor who just gets you. 798 00:25:35,920 --> 00:25:36,880 Exactly. 799 00:25:36,880 --> 00:25:39,240 And they know exactly how you learn best 800 00:25:39,240 --> 00:25:42,680 and can tailor the material to your specific needs. 801 00:25:42,680 --> 00:25:45,160 And this is particularly helpful, by the way, 802 00:25:45,160 --> 00:25:47,880 for students who might struggle in traditional classrooms 803 00:25:47,880 --> 00:25:49,960 or students with learning disabilities. 804 00:25:49,960 --> 00:25:51,560 Right, where they might need that extra attention, 805 00:25:51,560 --> 00:25:52,400 that extra help. 806 00:25:52,400 --> 00:25:53,440 Exactly. 807 00:25:53,440 --> 00:25:55,840 AI can give them that personalized attention 808 00:25:55,840 --> 00:25:57,680 and support that they need to succeed. 809 00:25:57,680 --> 00:25:58,720 That's fantastic. 810 00:25:58,720 --> 00:25:59,560 Yeah. 811 00:25:59,560 --> 00:26:00,400 But what about the students 812 00:26:00,400 --> 00:26:03,000 who maybe don't even have access to a quality teacher 813 00:26:03,000 --> 00:26:03,840 in the first place? 814 00:26:03,840 --> 00:26:05,080 I'm thinking, you know, 815 00:26:05,080 --> 00:26:07,120 maybe students in more remote areas, 816 00:26:07,120 --> 00:26:08,680 underserved communities. 817 00:26:08,680 --> 00:26:11,400 Yeah, and that's where AI powered educational resources 818 00:26:11,400 --> 00:26:13,200 can really play a huge role. 819 00:26:13,200 --> 00:26:15,440 Things like, you know, online tutoring platforms, 820 00:26:15,440 --> 00:26:16,800 educational apps, 821 00:26:16,800 --> 00:26:18,840 they can provide high quality learning materials 822 00:26:18,840 --> 00:26:20,720 and support to students anywhere, 823 00:26:20,720 --> 00:26:22,200 regardless of their location 824 00:26:22,200 --> 00:26:24,160 or their socioeconomic background. 825 00:26:24,160 --> 00:26:26,000 So really kind of breaking down those barriers. 826 00:26:26,000 --> 00:26:26,840 Exactly. 827 00:26:26,840 --> 00:26:29,320 It's about democratizing access to education. 828 00:26:29,320 --> 00:26:30,240 I like that. 829 00:26:30,240 --> 00:26:31,080 Yeah. 830 00:26:31,080 --> 00:26:33,040 But you know, when we talk about AI in education, 831 00:26:33,040 --> 00:26:34,640 it's not about replacing teachers. 832 00:26:34,640 --> 00:26:35,480 No, not at all. 833 00:26:35,480 --> 00:26:36,880 It's about empowering them. 834 00:26:36,880 --> 00:26:37,720 Okay. 835 00:26:37,720 --> 00:26:39,680 AI can help automate a lot of those, 836 00:26:39,680 --> 00:26:41,920 you know, tedious administrative tasks, 837 00:26:41,920 --> 00:26:44,880 which frees up teachers to do what they do best, 838 00:26:44,880 --> 00:26:47,120 which is actually, you know, connect with their students. 839 00:26:47,120 --> 00:26:48,120 Ten more time with the kids. 840 00:26:48,120 --> 00:26:48,960 Exactly. 841 00:26:48,960 --> 00:26:52,080 And it can help them develop more engaging, 842 00:26:52,080 --> 00:26:55,080 more effective teaching methods, you know. 843 00:26:55,080 --> 00:26:58,400 It's about using AI to enhance and support 844 00:26:58,400 --> 00:27:00,560 the essential role that teachers play. 845 00:27:00,560 --> 00:27:02,120 It's about making their jobs, 846 00:27:02,120 --> 00:27:03,640 their lives a little bit easier, 847 00:27:03,640 --> 00:27:06,440 and ultimately making education better for everyone. 848 00:27:06,440 --> 00:27:07,280 Exactly. 849 00:27:07,280 --> 00:27:08,120 Okay. 850 00:27:08,120 --> 00:27:09,000 So we've talked about healthcare, 851 00:27:09,000 --> 00:27:10,640 we've talked about education, 852 00:27:10,640 --> 00:27:12,120 but we can't have this conversation 853 00:27:12,120 --> 00:27:15,000 without talking about the big one, climate change. 854 00:27:15,000 --> 00:27:16,160 Right, the elephant in the room. 855 00:27:16,160 --> 00:27:21,040 Right, because we're facing this like massive global crisis, 856 00:27:21,040 --> 00:27:23,560 and so can AI really make a difference here. 857 00:27:23,560 --> 00:27:25,080 Is that even possible? 858 00:27:25,080 --> 00:27:27,000 Yeah, you know, it might sound a little bit surprising, 859 00:27:27,000 --> 00:27:29,640 but AI is already playing a significant role 860 00:27:29,640 --> 00:27:31,480 in the fight against climate change. 861 00:27:31,480 --> 00:27:32,320 Really? 862 00:27:32,320 --> 00:27:33,640 Okay, yeah, for example, 863 00:27:33,640 --> 00:27:36,160 it's being used to make renewable energy sources 864 00:27:36,160 --> 00:27:39,320 like solar and wind power more efficient. 865 00:27:39,320 --> 00:27:40,160 Okay. 866 00:27:40,160 --> 00:27:41,000 Which is huge. 867 00:27:41,000 --> 00:27:44,080 Right, because if we're gonna move away from fossil fuels, 868 00:27:44,080 --> 00:27:45,640 we've gotta make those things make sense. 869 00:27:45,640 --> 00:27:46,480 Exactly. 870 00:27:46,480 --> 00:27:49,760 So AI can actually predict energy demand, 871 00:27:49,760 --> 00:27:51,880 and it can adjust production accordingly, 872 00:27:51,880 --> 00:27:53,800 which helps create this more reliable 873 00:27:53,800 --> 00:27:56,360 and more cost-effective energy grid. 874 00:27:56,360 --> 00:27:58,320 So it's not just about the technology itself, 875 00:27:58,320 --> 00:28:01,240 it's about kind of optimizing how we use it. 876 00:28:01,240 --> 00:28:03,360 Exactly, it's about making it smarter, 877 00:28:03,360 --> 00:28:04,960 and it doesn't stop there. 878 00:28:05,840 --> 00:28:08,800 AI is being used to monitor deforestation, 879 00:28:08,800 --> 00:28:10,840 track endangered species, 880 00:28:10,840 --> 00:28:12,360 even develop new materials 881 00:28:12,360 --> 00:28:14,600 that can capture carbon from the atmosphere. 882 00:28:14,600 --> 00:28:16,240 Wow, so really from every angle. 883 00:28:16,240 --> 00:28:17,840 Yeah, from optimizing energy 884 00:28:17,840 --> 00:28:20,240 to protecting our forests and oceans, 885 00:28:20,240 --> 00:28:22,520 AI is really becoming a key tool 886 00:28:22,520 --> 00:28:24,440 in the fight against climate change. 887 00:28:24,440 --> 00:28:26,960 Which is, I mean, gives you a little bit of hope, right? 888 00:28:26,960 --> 00:28:29,480 It does, you know, we're facing these, you know, 889 00:28:29,480 --> 00:28:31,840 pretty daunting challenges as a species, 890 00:28:31,840 --> 00:28:34,880 but the potential here, the potential of AI 891 00:28:34,880 --> 00:28:36,640 to help us address these challenges, I think, 892 00:28:36,640 --> 00:28:37,920 is undeniable. 893 00:28:37,920 --> 00:28:39,000 And it all comes back to that point 894 00:28:39,000 --> 00:28:39,920 that we keep coming back to, 895 00:28:39,920 --> 00:28:42,320 which is it's not inherently good or bad. 896 00:28:42,320 --> 00:28:43,160 It's a tool. 897 00:28:43,160 --> 00:28:44,240 It's how we use it. 898 00:28:44,240 --> 00:28:47,200 Exactly, and that's why these conversations, 899 00:28:47,200 --> 00:28:49,440 this deep dive, this whole thing, it's so important. 900 00:28:49,440 --> 00:28:50,640 You know, the future of AI, 901 00:28:50,640 --> 00:28:52,640 this isn't some predetermined outcome, 902 00:28:52,640 --> 00:28:54,240 it's something that we're all shaping 903 00:28:54,240 --> 00:28:55,560 each and every day, you know. 904 00:28:55,560 --> 00:28:56,400 It's a choice. 905 00:28:56,400 --> 00:28:57,320 It's a choice. 906 00:28:57,320 --> 00:28:59,800 And that choice is made up of all the little decisions 907 00:28:59,800 --> 00:29:02,120 that we make, the technologies that we use, 908 00:29:02,120 --> 00:29:04,040 the conversations that we have. 909 00:29:04,040 --> 00:29:05,840 Well said, and it's a future 910 00:29:05,840 --> 00:29:07,480 that is absolutely worth fighting for. 911 00:29:07,480 --> 00:29:08,320 It really is. 912 00:29:08,320 --> 00:29:09,160 Yeah. 913 00:29:09,160 --> 00:29:11,440 Well, on that note of cautious optimism, 914 00:29:11,440 --> 00:29:14,960 I think that's gonna wrap up this deep dive into AI 915 00:29:14,960 --> 00:29:16,720 and what it means for you. 916 00:29:16,720 --> 00:29:18,640 And if there's one thing that we want you to take away 917 00:29:18,640 --> 00:29:20,080 from this conversation, 918 00:29:20,080 --> 00:29:22,560 is that the future isn't set in stone. 919 00:29:22,560 --> 00:29:25,280 It's a journey, and we're all on it together. 920 00:29:25,280 --> 00:29:26,800 So stay informed, stay engaged, 921 00:29:26,800 --> 00:29:29,080 and most importantly, stay curious, 922 00:29:29,080 --> 00:29:31,200 because the future of AI is up to all of us. 923 00:29:31,200 --> 00:29:53,040 Yeah.