1 00:00:00,000 --> 00:00:02,800 Welcome back everybody to another deep dive. 2 00:00:02,800 --> 00:00:04,800 And this time we were tackling something, 3 00:00:04,800 --> 00:00:06,000 I think especially intriguing. 4 00:00:06,000 --> 00:00:07,880 I mean, you sent me this whole stack of articles, 5 00:00:07,880 --> 00:00:12,600 notes, form threads, all about OpenAI's Dev Day in London. 6 00:00:12,600 --> 00:00:13,440 Right. 7 00:00:13,440 --> 00:00:16,680 And it's really a puzzle, isn't it? 8 00:00:16,680 --> 00:00:18,280 We're talking like secret code names 9 00:00:18,280 --> 00:00:20,960 and AI is doing these amazing things out in the real world. 10 00:00:20,960 --> 00:00:22,320 And some people are even saying, you know, 11 00:00:22,320 --> 00:00:25,120 this is the start of something really big, 12 00:00:25,120 --> 00:00:26,720 a real tech revolution. 13 00:00:26,720 --> 00:00:28,600 So are you ready to sort of dive into all this 14 00:00:28,600 --> 00:00:29,640 and try to decode it with me? 15 00:00:29,640 --> 00:00:30,760 Yeah, absolutely. 16 00:00:30,760 --> 00:00:34,400 It seems like OpenAI decided to skip the usual, you know, 17 00:00:34,400 --> 00:00:36,000 the hype and the teasers this time. 18 00:00:36,000 --> 00:00:37,560 And instead they just kind of threw everyone 19 00:00:37,560 --> 00:00:38,520 a bunch of curve balls. 20 00:00:38,520 --> 00:00:38,880 Right. 21 00:00:38,880 --> 00:00:40,720 It's like they wanted to shake things up a little bit. 22 00:00:40,720 --> 00:00:41,800 And speaking of curve balls, let's 23 00:00:41,800 --> 00:00:43,600 start with the biggest one, this O1 thing. 24 00:00:43,600 --> 00:00:46,760 I mean, everyone was expecting GPT 4.5, right? 25 00:00:46,760 --> 00:00:48,160 Maybe even GPT 5. 26 00:00:48,160 --> 00:00:51,080 But no, instead OpenAI drops this O1 on us. 27 00:00:51,080 --> 00:00:51,660 So what is it? 28 00:00:51,660 --> 00:00:52,380 Is it a model? 29 00:00:52,380 --> 00:00:54,240 Is it some kind of project? 30 00:00:54,240 --> 00:00:56,360 Some sort of philosophical statement about AI. 31 00:00:56,360 --> 00:00:58,240 Even the experts in these articles you sent are kind of 32 00:00:58,240 --> 00:00:59,320 stumped. 33 00:00:59,320 --> 00:01:01,880 What do you make of this mysterious O1 label? 34 00:01:01,880 --> 00:01:03,920 Yeah, it's like they're speaking in code 01. 35 00:01:03,920 --> 00:01:05,720 I mean, it's the basis of binary code, right? 36 00:01:05,720 --> 00:01:07,840 Like a starting point. 37 00:01:07,840 --> 00:01:10,240 So maybe it's a hint that this isn't just a small step 38 00:01:10,240 --> 00:01:13,840 forward, but a whole new beginning, a whole new way 39 00:01:13,840 --> 00:01:15,400 of thinking about AI. 40 00:01:15,400 --> 00:01:17,160 A whole new beginning. 41 00:01:17,160 --> 00:01:19,160 OK, so we've got this mysterious name. 42 00:01:19,160 --> 00:01:20,840 And then to make it even more intriguing, 43 00:01:20,840 --> 00:01:25,440 they show 01 controlling a drone in real time. 44 00:01:25,440 --> 00:01:25,960 Yeah. 45 00:01:25,960 --> 00:01:28,640 Not just simple commands, but navigating obstacles. 46 00:01:28,640 --> 00:01:29,000 Yeah. 47 00:01:29,000 --> 00:01:31,240 Adjusting to one while writing the code 48 00:01:31,240 --> 00:01:32,360 to do it all on the fly. 49 00:01:32,360 --> 00:01:34,040 I mean, can you imagine sitting down and trying 50 00:01:34,040 --> 00:01:35,040 to code that yourself? 51 00:01:35,040 --> 00:01:36,840 It would take you, what, a week at least. 52 00:01:36,840 --> 00:01:38,040 Oh, yeah, at least. 53 00:01:38,040 --> 00:01:39,880 And probably a lot longer and with a lot more 54 00:01:39,880 --> 00:01:41,080 mistakes than the AI had. 55 00:01:41,080 --> 00:01:44,480 So you know, this demo, it wasn't just showing off 56 00:01:44,480 --> 00:01:45,720 their technical skills. 57 00:01:45,720 --> 00:01:46,640 It was a statement. 58 00:01:46,640 --> 00:01:49,160 AI isn't just stuck in the digital world anymore. 59 00:01:49,160 --> 00:01:50,920 It's reaching out into our physical world 60 00:01:50,920 --> 00:01:52,920 and interacting with it in ways we're only 61 00:01:52,920 --> 00:01:54,360 starting to understand. 62 00:01:54,360 --> 00:01:54,840 You know what? 63 00:01:54,840 --> 00:01:57,240 I found this little anecdote buried in one of these forum 64 00:01:57,240 --> 00:01:58,320 posts you sent. 65 00:01:58,320 --> 00:01:59,800 And it's kind of unbelievable. 66 00:01:59,800 --> 00:02:02,600 Apparently, they also used 01 to order pies 67 00:02:02,600 --> 00:02:04,240 from a bakery near the event. 68 00:02:04,240 --> 00:02:05,760 But here's the kicker. 69 00:02:05,760 --> 00:02:08,160 It negotiated the price during the phone call. 70 00:02:08,160 --> 00:02:10,080 The AI was haggling over pastries. 71 00:02:10,080 --> 00:02:10,560 Yeah. 72 00:02:10,560 --> 00:02:11,800 It's like something out of a sitcom. 73 00:02:11,800 --> 00:02:12,680 I know it sounds funny. 74 00:02:12,680 --> 00:02:15,280 But think about the technology behind it for a second. 75 00:02:15,280 --> 00:02:17,960 We have an AI that understands real time information 76 00:02:17,960 --> 00:02:22,760 about pie shops, their menus, even maybe customer reviews. 77 00:02:22,760 --> 00:02:25,480 And then it uses all that to negotiate a price, which 78 00:02:25,480 --> 00:02:27,840 means it understands value scarcity. 79 00:02:27,840 --> 00:02:28,160 Right. 80 00:02:28,160 --> 00:02:30,800 Maybe even a bit of psychology to persuade the baker. 81 00:02:30,800 --> 00:02:33,840 So from drones to pie deals, 01 is already 82 00:02:33,840 --> 00:02:35,840 out there in the real world trying things out, 83 00:02:35,840 --> 00:02:37,520 testing its boundaries. 84 00:02:37,520 --> 00:02:40,000 But while everybody was focused on these demos, 85 00:02:40,000 --> 00:02:42,400 something really interesting happened during Sam Altman's 86 00:02:42,400 --> 00:02:45,320 virtual Q&A. Did you catch what he said about AI agents? 87 00:02:45,320 --> 00:02:45,820 Yeah. 88 00:02:45,820 --> 00:02:47,320 His comments were fascinating. 89 00:02:47,320 --> 00:02:50,560 He wasn't talking about simple chat bots or to-do list apps. 90 00:02:50,560 --> 00:02:52,240 He described these AI agents as being 91 00:02:52,240 --> 00:02:54,800 like really smart senior coworkers who could 92 00:02:54,800 --> 00:02:57,360 handle complex multi-day tasks. 93 00:02:57,360 --> 00:02:59,800 So this isn't just about automating simple things. 94 00:02:59,800 --> 00:03:02,200 It's about AI taking on real responsibility 95 00:03:02,200 --> 00:03:05,360 that requires judgment learning, maybe even creativity. 96 00:03:05,360 --> 00:03:06,640 That's a big claim. 97 00:03:06,640 --> 00:03:09,560 He even mentioned AI tackling the two sigma problem 98 00:03:09,560 --> 00:03:12,560 in education, that idea that one-on-one tutoring is 99 00:03:12,560 --> 00:03:16,160 super effective but impossible to do for everyone. 100 00:03:16,160 --> 00:03:17,620 Are we talking about AI tutors that 101 00:03:17,620 --> 00:03:19,200 could adapt to each student's needs, 102 00:03:19,200 --> 00:03:21,680 get personalized feedback, maybe even tell a few jokes 103 00:03:21,680 --> 00:03:23,120 to keep them engaged? 104 00:03:23,120 --> 00:03:25,560 That seems to be the direction OpenAI is moving in, 105 00:03:25,560 --> 00:03:29,800 a future where AI isn't just a tool but a partner, a mentor, 106 00:03:29,800 --> 00:03:31,280 maybe even a friend. 107 00:03:31,280 --> 00:03:33,820 But before we get too carried away with these utopian ideas, 108 00:03:33,820 --> 00:03:36,480 there's another twist, a rumor floating around the internet 109 00:03:36,480 --> 00:03:39,000 about a secret weapon OpenAI might be hiding. 110 00:03:39,000 --> 00:03:41,760 You mean besides this pie ordering drone flying AI that's 111 00:03:41,760 --> 00:03:43,220 already blowing everyone's mind, what 112 00:03:43,220 --> 00:03:44,520 could possibly top that? 113 00:03:44,520 --> 00:03:47,280 People are whispering about a new unnamed model that's 114 00:03:47,280 --> 00:03:50,080 supposedly crushing all the AI benchmarks, 115 00:03:50,080 --> 00:03:52,600 scoring higher than anything we've seen before, 116 00:03:52,600 --> 00:03:55,840 a model so advanced that OpenAI might be hesitant to even 117 00:03:55,840 --> 00:03:56,720 reveal it yet. 118 00:03:56,720 --> 00:03:58,800 OK, now they're just showing off. 119 00:03:58,800 --> 00:04:01,280 But I have to admit, I'm hooked. 120 00:04:01,280 --> 00:04:02,960 This Dev Day wasn't just an event. 121 00:04:02,960 --> 00:04:06,800 It was a master class in generating intrigue. 122 00:04:06,800 --> 00:04:08,400 What do you think OpenAI is trying to do 123 00:04:08,400 --> 00:04:10,040 with all this secrecy? 124 00:04:10,040 --> 00:04:12,340 Maybe they're being careful testing the waters 125 00:04:12,340 --> 00:04:14,960 before they release something really powerful. 126 00:04:14,960 --> 00:04:18,240 Or maybe it's strategic, keeping their competitors guessing 127 00:04:18,240 --> 00:04:20,520 while they stay ahead of the game. 128 00:04:20,520 --> 00:04:22,400 Yeah, it's a high stakes game for sure. 129 00:04:22,400 --> 00:04:25,080 But OpenAI isn't just about building these powerful AIs. 130 00:04:25,080 --> 00:04:27,080 They're also thinking about how these models could 131 00:04:27,080 --> 00:04:28,560 change the world. 132 00:04:28,560 --> 00:04:30,640 Remember that question about AI generated content 133 00:04:30,640 --> 00:04:32,880 flooding the internet and how that could lead 134 00:04:32,880 --> 00:04:34,400 to even more misinformation? 135 00:04:34,400 --> 00:04:35,320 Yeah, that's a big one. 136 00:04:35,320 --> 00:04:37,360 It's already hard enough to tell what's real and what's fake 137 00:04:37,360 --> 00:04:38,400 online. 138 00:04:38,400 --> 00:04:41,000 If you add a bunch of AI content creators to the mix, 139 00:04:41,000 --> 00:04:42,680 things could get really messy. 140 00:04:42,680 --> 00:04:43,400 Right. 141 00:04:43,400 --> 00:04:46,200 Altman actually addressed that during the event. 142 00:04:46,200 --> 00:04:47,720 He didn't shy away from the risks, 143 00:04:47,720 --> 00:04:50,600 but he also talked about a pretty interesting possibility. 144 00:04:50,600 --> 00:04:54,240 What if we could use AI to fight back against AI generated 145 00:04:54,240 --> 00:04:55,560 misinformation? 146 00:04:55,560 --> 00:04:58,160 Like some kind of AI powered immune system for the internet. 147 00:04:58,160 --> 00:04:58,880 Exactly. 148 00:04:58,880 --> 00:05:02,240 Algorithms that can analyze text images, even videos, 149 00:05:02,240 --> 00:05:04,920 and they could flag content that seems misleading or fake. 150 00:05:04,920 --> 00:05:07,840 They could show you sources, point out inconsistencies, 151 00:05:07,840 --> 00:05:09,680 maybe even create counter arguments based 152 00:05:09,680 --> 00:05:11,360 on real verified information. 153 00:05:11,360 --> 00:05:13,880 Wow, that would be incredibly helpful. 154 00:05:13,880 --> 00:05:15,880 But going back to these AI agents for a minute, 155 00:05:15,880 --> 00:05:19,120 Altman's comparison to really smart senior coworkers 156 00:05:19,120 --> 00:05:20,440 really got me thinking. 157 00:05:20,440 --> 00:05:22,880 If we're talking about delegating important tasks 158 00:05:22,880 --> 00:05:26,000 to AI, wouldn't that require a level of trust 159 00:05:26,000 --> 00:05:28,720 that goes beyond just asking Alexa to play a song? 160 00:05:28,720 --> 00:05:30,520 Trust is a key issue here. 161 00:05:30,520 --> 00:05:32,520 To work effectively with these AI agents, 162 00:05:32,520 --> 00:05:33,960 we need to understand them. 163 00:05:33,960 --> 00:05:35,360 Their strengths, their weaknesses, 164 00:05:35,360 --> 00:05:36,440 how they make decisions. 165 00:05:36,440 --> 00:05:38,160 It's like any working relationship really. 166 00:05:38,160 --> 00:05:40,520 You need communication, transparency, 167 00:05:40,520 --> 00:05:42,040 and some level of understanding. 168 00:05:42,040 --> 00:05:45,440 But what if these AI agents get too smart? 169 00:05:45,440 --> 00:05:48,160 Altman talked about them handling tasks over days, 170 00:05:48,160 --> 00:05:49,720 learning and adapting. 171 00:05:49,720 --> 00:05:51,240 Could they eventually become something 172 00:05:51,240 --> 00:05:53,360 more than just assistants? 173 00:05:53,360 --> 00:05:55,400 That's a question that's been around for decades 174 00:05:55,400 --> 00:05:58,360 in science fiction, but now it's becoming a real concern. 175 00:05:58,360 --> 00:06:01,240 The line between tool and entity is getting blurry, 176 00:06:01,240 --> 00:06:03,320 and it's not just about intelligence. 177 00:06:03,320 --> 00:06:06,800 Altman also talked about AI amplifying human capabilities, 178 00:06:06,800 --> 00:06:08,760 helping us overcome our own limitations. 179 00:06:08,760 --> 00:06:11,800 Like that example he gave about booking a restaurant. 180 00:06:11,800 --> 00:06:13,520 A person might call a few places, 181 00:06:13,520 --> 00:06:15,840 but an AI could contact hundreds of restaurants 182 00:06:15,840 --> 00:06:17,440 at the same time. 183 00:06:17,440 --> 00:06:20,320 Find the best option based on your preferences, 184 00:06:20,320 --> 00:06:22,840 your diet, even the noise level of the restaurant. 185 00:06:22,840 --> 00:06:25,000 Exactly, and that's a pretty basic example. 186 00:06:25,000 --> 00:06:27,640 Imagine using that kind of power for scientific research, 187 00:06:27,640 --> 00:06:29,800 financial modeling, even creative work. 188 00:06:29,800 --> 00:06:32,640 What if an AI could help you explore thousands of designs, 189 00:06:32,640 --> 00:06:35,800 test hundreds of theories, analyze huge amounts of data 190 00:06:35,800 --> 00:06:37,120 to find hidden patterns? 191 00:06:37,120 --> 00:06:39,320 It's like having a team of super-powered interns 192 00:06:39,320 --> 00:06:41,640 working 24-7 trying everything. 193 00:06:41,640 --> 00:06:44,280 It's exciting and a little scary at the same time. 194 00:06:44,280 --> 00:06:46,760 It's a window into a future where humans and AI 195 00:06:46,760 --> 00:06:49,920 could work together to achieve amazing things. 196 00:06:49,920 --> 00:06:51,640 But it also raises some big questions 197 00:06:51,640 --> 00:06:55,280 about the nature of work, the value of human expertise, 198 00:06:55,280 --> 00:06:57,920 even the definition of intelligence itself. 199 00:06:57,920 --> 00:07:00,480 And just when you thought it couldn't get any weirder, 200 00:07:00,480 --> 00:07:03,480 we've got this mysterious unnamed AI model 201 00:07:03,480 --> 00:07:04,760 hiding in the shadows. 202 00:07:04,760 --> 00:07:06,280 Right, the rumors are spreading. 203 00:07:06,280 --> 00:07:08,600 Some people think it's a multimodal model, 204 00:07:08,600 --> 00:07:12,680 so it can process not just text, but images, audio, video. 205 00:07:12,680 --> 00:07:15,000 Others say it's been trained on a massive amount of data 206 00:07:15,000 --> 00:07:16,920 more than anything we've seen before. 207 00:07:16,920 --> 00:07:20,280 It's like they're building the ultimate AI Swiss army knife, 208 00:07:20,280 --> 00:07:22,000 something that can do anything. 209 00:07:22,000 --> 00:07:24,840 And they're keeping it secret, maybe to improve it, 210 00:07:24,840 --> 00:07:27,240 or maybe because they're afraid of how powerful it is. 211 00:07:27,240 --> 00:07:30,400 Or maybe they're waiting for the perfect moment to reveal it, 212 00:07:30,400 --> 00:07:32,440 to really shake things up in the AI world. 213 00:07:32,440 --> 00:07:34,040 It's a game of strategy anticipation 214 00:07:34,040 --> 00:07:35,880 and maybe a little bit of showmanship. 215 00:07:35,880 --> 00:07:40,520 It's funny, with all this talk about super-advanced AI, 216 00:07:40,520 --> 00:07:42,640 open AI seems to be really interested in something 217 00:07:42,640 --> 00:07:44,040 pretty basic. 218 00:07:44,040 --> 00:07:45,880 Education. 219 00:07:45,880 --> 00:07:48,400 Remember when Altman brought up that two sigma problem? 220 00:07:48,400 --> 00:07:50,680 You know that thing about one-on-one tutoring 221 00:07:50,680 --> 00:07:53,920 being super effective, but impossible to scale up? 222 00:07:53,920 --> 00:07:55,720 Yeah, it's like the perfect solution 223 00:07:55,720 --> 00:07:57,600 is personalized teaching, but there just 224 00:07:57,600 --> 00:08:00,400 aren't enough teachers and time to do it for everyone. 225 00:08:00,400 --> 00:08:02,800 Right, so maybe AI could fill that gap. 226 00:08:02,800 --> 00:08:05,120 Imagine an AI tutor that learns how 227 00:08:05,120 --> 00:08:08,480 you learn what you're good at, what you struggle with. 228 00:08:08,480 --> 00:08:11,360 And it adjusts the lessons, the pace, the difficulty. 229 00:08:11,360 --> 00:08:14,080 And it explains things in a way that makes sense to you. 230 00:08:14,080 --> 00:08:16,080 It'd be like having your own personal Socrates, 231 00:08:16,080 --> 00:08:17,800 just explaining everything. 232 00:08:17,800 --> 00:08:19,280 That's a really cool idea. 233 00:08:19,280 --> 00:08:21,920 And think about it for students who maybe can't afford a tutor 234 00:08:21,920 --> 00:08:24,160 or don't do well in a regular classroom. 235 00:08:24,160 --> 00:08:25,040 This could be huge. 236 00:08:25,040 --> 00:08:27,200 It could make learning more fun, more effective, 237 00:08:27,200 --> 00:08:28,280 and available to anyone. 238 00:08:28,280 --> 00:08:29,780 Yeah, it could really change things. 239 00:08:29,780 --> 00:08:32,160 But does that mean teachers would be out of a job? 240 00:08:32,160 --> 00:08:33,440 No, not at all. 241 00:08:33,440 --> 00:08:35,720 It's about helping teachers not replacing them. 242 00:08:35,720 --> 00:08:38,120 Imagine a teacher who has an AI assistant that 243 00:08:38,120 --> 00:08:40,920 helps grade papers plan lessons, even figure out 244 00:08:40,920 --> 00:08:42,720 which students need extra help. 245 00:08:42,720 --> 00:08:45,520 That frees up the teacher to do what they do best, 246 00:08:45,520 --> 00:08:47,280 inspire their students to be a mentor, 247 00:08:47,280 --> 00:08:48,880 and help them love learning. 248 00:08:48,880 --> 00:08:50,880 Yeah, so it's not about getting rid of teachers. 249 00:08:50,880 --> 00:08:52,640 It's about giving them superpowers. 250 00:08:52,640 --> 00:08:54,280 And it's not just education. 251 00:08:54,280 --> 00:08:55,520 Think about health care. 252 00:08:55,520 --> 00:08:58,360 You sent me that article about AI assisting with surgery. 253 00:08:58,360 --> 00:08:59,680 I mean, it's mind blowing. 254 00:08:59,680 --> 00:09:02,920 We're already seeing AI used for diagnosis, drug discovery, even 255 00:09:02,920 --> 00:09:04,400 robotic surgery. 256 00:09:04,400 --> 00:09:06,760 Imagine a world where AI helps surgeons 257 00:09:06,760 --> 00:09:09,280 with those really complicated procedures, 258 00:09:09,280 --> 00:09:11,080 gives them feedback in real time, 259 00:09:11,080 --> 00:09:13,120 points out potential problems, even 260 00:09:13,120 --> 00:09:15,640 does things that require superhuman precision. 261 00:09:15,640 --> 00:09:18,800 It's like having an extra pair of eyes, a super steady hand, 262 00:09:18,800 --> 00:09:20,880 and a medical encyclopedia all in one. 263 00:09:20,880 --> 00:09:23,320 But all this progress, all this potential, 264 00:09:23,320 --> 00:09:24,560 it comes with some risks. 265 00:09:24,560 --> 00:09:25,920 We've all seen those sci-fi movies 266 00:09:25,920 --> 00:09:27,400 where the AI takes over, right? 267 00:09:27,400 --> 00:09:28,440 That's a common fear. 268 00:09:28,440 --> 00:09:30,840 And it's not something we should ignore. 269 00:09:30,840 --> 00:09:33,280 As AI gets smarter, we need to be really careful 270 00:09:33,280 --> 00:09:34,760 about the ethics. 271 00:09:34,760 --> 00:09:37,280 We need to make sure these technologies are used for good, 272 00:09:37,280 --> 00:09:39,020 that they align with our values. 273 00:09:39,020 --> 00:09:41,680 And we need safeguards to prevent things from going wrong. 274 00:09:41,680 --> 00:09:43,680 It's like we're exploring a whole new world, 275 00:09:43,680 --> 00:09:46,240 this unknown continent of AI. 276 00:09:46,240 --> 00:09:49,000 We have to be careful, wise, and maybe a little humble. 277 00:09:49,000 --> 00:09:49,840 Absolutely. 278 00:09:49,840 --> 00:09:52,080 Open AI Dev Day wasn't just about showing off 279 00:09:52,080 --> 00:09:53,040 new technology. 280 00:09:53,040 --> 00:09:55,040 It was like a wake-up call, a reminder 281 00:09:55,040 --> 00:09:57,600 that we're at a really important point in history. 282 00:09:57,600 --> 00:09:59,760 The choices we make today, the questions we ask, 283 00:09:59,760 --> 00:10:02,960 the rules we set for AI, they're going to affect all of us 284 00:10:02,960 --> 00:10:04,020 in the future. 285 00:10:04,020 --> 00:10:05,760 So as we wrap up this deep dive, what's 286 00:10:05,760 --> 00:10:08,200 the one thing you want to leave our listener with? 287 00:10:08,200 --> 00:10:10,440 The future of AI is still being written. 288 00:10:10,440 --> 00:10:13,440 It's a story full of possibilities, both good and bad. 289 00:10:13,440 --> 00:10:15,320 And we all have a part in writing that story. 290 00:10:15,320 --> 00:10:18,760 So stay curious, stay engaged, and stay informed, 291 00:10:18,760 --> 00:10:20,840 because the future is coming, ready or not. 292 00:10:20,840 --> 00:10:22,040 Well said. 293 00:10:22,040 --> 00:10:24,320 And to our listeners out there, thanks for joining us 294 00:10:24,320 --> 00:10:25,240 on this deep dive. 295 00:10:25,240 --> 00:10:27,000 It's a journey we're all taking together, 296 00:10:27,000 --> 00:10:28,240 and it's just beginning. 297 00:10:28,240 --> 00:10:30,720 So keep exploring, keep asking questions, 298 00:10:30,720 --> 00:10:32,740 and keep an open mind about the amazing and maybe 299 00:10:32,740 --> 00:10:34,320 a little scary future of AI. 300 00:10:34,320 --> 00:10:38,480 Thank you.