WEBVTT 00:00:00.000 --> 00:00:02.339 Imagine for a moment turning just a single photograph 00:00:02.339 --> 00:00:05.740 into an entire 3D world, a world that you can 00:00:05.740 --> 00:00:09.500 actually walk through. Two -sex silence. Or think 00:00:09.500 --> 00:00:13.160 about the quiet, the ongoing battle that's reshaping 00:00:13.160 --> 00:00:15.800 how you find information online. Right now, it's 00:00:15.800 --> 00:00:17.839 really not just about what Google shows you anymore. 00:00:17.960 --> 00:00:20.339 These are two really intriguing, powerful threads 00:00:20.339 --> 00:00:23.079 that weave through today's deep dive. Welcome 00:00:23.079 --> 00:00:26.039 everyone to The Deep Dive. Yeah, today we're 00:00:26.039 --> 00:00:28.539 unpacking a truly massive and frankly fascinating 00:00:28.539 --> 00:00:31.719 shift in the digital landscape. Our mission? 00:00:31.899 --> 00:00:34.140 Well, it's to make sense of the latest AI movements. 00:00:34.280 --> 00:00:36.359 Everything from these epic legal battles that 00:00:36.359 --> 00:00:38.539 could redefine market control, all the way to 00:00:38.539 --> 00:00:40.619 groundbreaking generative tech. We'll kick things 00:00:40.619 --> 00:00:42.700 off looking at Google's recent court decision 00:00:42.700 --> 00:00:45.939 and how it's essentially turbocharging AI search 00:00:45.939 --> 00:00:48.280 rivals. And we'll hit some quick, intriguing 00:00:48.280 --> 00:00:51.600 AI news like chat GPT's sometimes, let's say, 00:00:51.640 --> 00:00:53.479 overly sensitive safety features and the sheer 00:00:53.479 --> 00:00:55.799 power of advanced prompting. After that, I'll 00:00:55.799 --> 00:00:57.479 look at some practical AI business models. And 00:00:57.479 --> 00:00:58.840 finally, we'll dive into something truly mind 00:00:58.840 --> 00:01:01.600 -bending, creating fully explorable 3D universes 00:01:01.600 --> 00:01:04.620 from just one image. Okay, let's unpack this. 00:01:04.739 --> 00:01:07.099 So for a moment there, it honestly looked like 00:01:07.099 --> 00:01:10.780 Google might actually lose Chrome. You know, 00:01:10.819 --> 00:01:12.879 it's a dominant browser. That didn't happen. 00:01:13.439 --> 00:01:16.019 But the judge's ruling certainly came with a, 00:01:16.040 --> 00:01:18.780 well, a profound twist. the court ruled that 00:01:18.780 --> 00:01:20.900 google must share some of its deepest search 00:01:20.900 --> 00:01:23.519 data think of it like a massive download of information 00:01:23.519 --> 00:01:27.739 years of internet crawling ranking indexing all 00:01:27.739 --> 00:01:30.319 compressed that feels like a huge advantage for 00:01:30.319 --> 00:01:33.000 rivals almost like a decade -long head start 00:01:33.000 --> 00:01:34.879 wouldn't you say that's precisely right i mean 00:01:34.879 --> 00:01:37.599 google gets to keep chrome and android which 00:01:37.599 --> 00:01:40.530 okay that's a huge win for them no doubt But 00:01:40.530 --> 00:01:42.390 the crucial part is they can no longer lock out 00:01:42.390 --> 00:01:44.510 competitors from those really valuable default 00:01:44.510 --> 00:01:47.650 search slots on devices like Safari or Samsung 00:01:47.650 --> 00:01:50.530 phones. So this means a one -time snapshot of 00:01:50.530 --> 00:01:52.510 Google's search index. Now, basically, it's a 00:01:52.510 --> 00:01:54.209 huge library, right? Yeah. An organized list 00:01:54.209 --> 00:01:56.329 of all websites, their content, how important 00:01:56.329 --> 00:01:59.049 they are. They get shared. And then parts of 00:01:59.049 --> 00:02:00.549 its search results will be licensed for five 00:02:00.549 --> 00:02:03.310 years. What's genuinely fascinating here is just 00:02:03.310 --> 00:02:06.030 the sheer scale of that data. and what it implies. 00:02:06.269 --> 00:02:08.689 Yeah, that genuinely opens the doors wide. For 00:02:08.689 --> 00:02:11.509 companies like OpenAI, Perplexity... And Claude. 00:02:11.610 --> 00:02:14.129 Right, and Claude. Suddenly, phone makers and 00:02:14.129 --> 00:02:16.150 browser developers, they aren't tied down anymore. 00:02:16.409 --> 00:02:18.889 They can actually preload AI search alternatives. 00:02:19.389 --> 00:02:21.729 This could lead to some really interesting deals, 00:02:21.830 --> 00:02:25.669 maybe with Samsung, Xiaomi, even Apple, challenging 00:02:25.669 --> 00:02:28.189 that whole status quo. And the timing is just 00:02:28.189 --> 00:02:32.530 wild, truly. One in four internet users already 00:02:32.530 --> 00:02:35.740 use AI chat for search. That's a significant, 00:02:35.879 --> 00:02:38.599 really rapid shift. Now, Google still dominates 00:02:38.599 --> 00:02:40.659 the market, obviously, but the playing field 00:02:40.659 --> 00:02:42.580 has got a lot more interesting, a lot more competitive. 00:02:42.819 --> 00:02:45.319 This whole dynamic, it raises a key question, 00:02:45.400 --> 00:02:48.139 though. Well, historically, building a full -blown 00:02:48.139 --> 00:02:50.080 search engine, I mean, with all the trust you 00:02:50.080 --> 00:02:52.259 need, the polished UI, it's incredibly expensive. 00:02:52.580 --> 00:02:55.039 But companies like OpenAI, Microsoft, Apple, 00:02:55.219 --> 00:02:57.259 they absolutely have the funds to make a real 00:02:57.259 --> 00:02:59.159 run at it. This isn't just some small startup 00:02:59.159 --> 00:03:01.240 trying to compete anymore. It's a real institutional 00:03:01.240 --> 00:03:03.860 challenge. So how will this data sharing truly 00:03:03.860 --> 00:03:07.219 reshape the search market for us, for the users? 00:03:07.460 --> 00:03:09.639 Are we talking a dramatic shift or is it more 00:03:09.639 --> 00:03:11.960 evolutionary? It's probably both. You'll definitely 00:03:11.960 --> 00:03:14.319 see more choices. Absolutely. An intense innovation. 00:03:14.960 --> 00:03:17.419 But the real insight, I think, is that for the 00:03:17.419 --> 00:03:19.819 first time, the quality of search might actually 00:03:19.819 --> 00:03:22.580 shift away from Google. It forces them to innovate 00:03:22.580 --> 00:03:25.039 not just on market dominance, but on pure utility. 00:03:25.259 --> 00:03:28.199 We could finally see truly personalized, AI -driven 00:03:28.199 --> 00:03:30.780 answers that go way beyond just, you know, 10 00:03:30.780 --> 00:03:33.539 blue links. All right, shifting gears a bit from 00:03:33.539 --> 00:03:35.979 those macro -level search wars, let's dive into 00:03:35.979 --> 00:03:37.979 some rapid -fire highlights from the AI world. 00:03:38.400 --> 00:03:40.280 First up, there's something interesting about 00:03:40.280 --> 00:03:44.080 ChatGPT's safety features. Apparently, it's auto 00:03:44.080 --> 00:03:46.800 -redirecting users to suicide helplines when 00:03:46.800 --> 00:03:48.620 it detects anything it thinks is potentially 00:03:48.620 --> 00:03:51.740 concerning. Even in pretty normal chats sometimes, 00:03:51.979 --> 00:03:54.780 it's a bit much. Maybe a little too sensitive. 00:03:55.659 --> 00:03:57.139 That's a really fine line, isn't it? It makes 00:03:57.139 --> 00:03:59.099 you wonder how these systems are trained to interpret 00:03:59.099 --> 00:04:01.240 context and, well, at what point that intervention 00:04:01.240 --> 00:04:03.800 becomes more intrusive and helpful. Exactly. 00:04:04.259 --> 00:04:06.599 Moving on, Google also has this tool called Banana. 00:04:07.219 --> 00:04:10.219 It cleans up visuals for documents, things like 00:04:10.219 --> 00:04:13.120 stands. And the results are pretty impressive, 00:04:13.219 --> 00:04:16.160 actually, though, you know, some people are naturally 00:04:16.160 --> 00:04:18.939 concerned about its potential for less noble 00:04:18.939 --> 00:04:21.680 uses. Which is always a consideration with powerful 00:04:21.680 --> 00:04:24.620 tools, right? Then there's the power of advanced 00:04:24.620 --> 00:04:27.899 prompting to sex silence. It's almost like learning 00:04:27.899 --> 00:04:30.300 a new language specifically for talking to AI. 00:04:30.620 --> 00:04:32.699 People are finding that once you really master 00:04:32.699 --> 00:04:35.939 these techniques, tools like ChatGPT or Grok 00:04:35.939 --> 00:04:38.779 or Gemini, they feel like entirely different 00:04:38.779 --> 00:04:40.899 AIs. It's a skill that fundamentally changes 00:04:40.899 --> 00:04:42.699 the whole interaction. Oh, it's true. I still 00:04:42.699 --> 00:04:44.699 wrestle with prompt drift myself sometimes, you 00:04:44.699 --> 00:04:46.899 know, where the AI starts to lose focus or kind 00:04:46.899 --> 00:04:49.500 of veer off topic after a few turns. lock onto 00:04:49.500 --> 00:04:51.300 what I actually want. But these pro -level techniques, 00:04:51.579 --> 00:04:53.579 yeah, they're like unlocking cheat codes. They 00:04:53.579 --> 00:04:56.019 let you sculpt the AI's output in ways you just 00:04:56.019 --> 00:04:58.860 wouldn't believe otherwise. Meanwhile, that race 00:04:58.860 --> 00:05:03.180 for data continues intensely. Both OpenAI and 00:05:03.180 --> 00:05:05.860 XAI, you know, Elon Musk's from, they showed 00:05:05.860 --> 00:05:07.860 interest in the data from an AI coding assistant 00:05:07.860 --> 00:05:11.120 called Cursor. But its owner, AnySphere, isn't 00:05:11.120 --> 00:05:13.350 selling. This really highlights just how valuable 00:05:13.350 --> 00:05:16.149 specialized AI data has become in this environment. 00:05:16.290 --> 00:05:19.209 It really is the new oil in a way. Yeah, it is. 00:05:19.290 --> 00:05:21.589 And some good news for lots of folks. OpenAI 00:05:21.589 --> 00:05:24.430 is letting all free users try ChatGPT projects 00:05:24.430 --> 00:05:27.129 now. You can upload up to five files, use these 00:05:27.129 --> 00:05:29.569 smart workspaces, which is a great way for more 00:05:29.569 --> 00:05:31.449 people to experience its capabilities, get a 00:05:31.449 --> 00:05:34.319 feel for it. Finally, a big win for Udia. an 00:05:34.319 --> 00:05:37.779 AI startup. They raised $105 million to transform 00:05:37.779 --> 00:05:40.720 legal billing using AI, and they acquired over 00:05:40.720 --> 00:05:43.879 300 legal experts in the process. This has huge 00:05:43.879 --> 00:05:46.040 potential for streamlining really complex processes 00:05:46.040 --> 00:05:48.240 and even supporting pro bono work, maybe making 00:05:48.240 --> 00:05:50.560 legal services more efficient overall. So think 00:05:50.560 --> 00:05:52.379 about all these diverse advancements. What's 00:05:52.379 --> 00:05:54.060 the biggest challenge they create for us, the 00:05:54.060 --> 00:05:56.100 users, right now? Well, it's about balancing 00:05:56.100 --> 00:05:58.100 these exciting new capabilities with the ethical 00:05:58.100 --> 00:06:00.819 concerns, right? And also just figuring out how 00:06:00.819 --> 00:06:03.180 to use these tools effectively. I think the underlying 00:06:03.180 --> 00:06:05.399 challenge challenge is actually trust, not just 00:06:05.399 --> 00:06:07.720 in the AI itself, but in the systems deploying 00:06:07.720 --> 00:06:09.980 it and trust in our own ability to tell truth 00:06:09.980 --> 00:06:12.519 from really sophisticated generated content. 00:06:12.959 --> 00:06:15.879 Okay, so for those thinking about practical applications, 00:06:16.199 --> 00:06:17.959 maybe even starting something in the AI space, 00:06:18.199 --> 00:06:19.899 there are some interesting guides floating around. 00:06:20.079 --> 00:06:23.060 One discusses six profitable voice agent business 00:06:23.060 --> 00:06:26.379 ideas for 2025. Think high value niches like 00:06:26.379 --> 00:06:28.899 hyper personalized customer support for maybe 00:06:28.899 --> 00:06:31.839 boutique ecommerce or specialized virtual assistance 00:06:31.839 --> 00:06:34.360 handling complex admin tasks for small legal 00:06:34.360 --> 00:06:37.079 firms, selling those AI voice services for recurring 00:06:37.079 --> 00:06:40.000 revenue. Exactly. Instead of just generic customer 00:06:40.000 --> 00:06:42.639 service, imagine an AI voice agent that's perfectly 00:06:42.639 --> 00:06:45.620 trained for the nuances of, say, a luxury travel 00:06:45.620 --> 00:06:48.480 agency. Handling flight changes or specific visa 00:06:48.480 --> 00:06:50.300 questions with almost human -like precision, 00:06:50.500 --> 00:06:53.139 that's a big market with real needs. And another 00:06:53.139 --> 00:06:55.459 guide shows you how to build a multi -agent automation 00:06:55.459 --> 00:06:59.199 workflow using NAN. This lets you set up multiple 00:06:59.199 --> 00:07:01.699 AI tools, basically working together like a team 00:07:01.699 --> 00:07:03.600 of virtual assistants, to complete a complex 00:07:03.600 --> 00:07:05.879 task. So you could, for example, auto -research 00:07:05.879 --> 00:07:07.839 and write an entire newsletter without direct 00:07:07.839 --> 00:07:10.579 human input at each step. It's kind of like stacking 00:07:10.579 --> 00:07:12.800 Lego blocks of data and services to build something 00:07:12.800 --> 00:07:14.839 much bigger. Right, and this is about moving 00:07:14.839 --> 00:07:17.620 beyond just those one -off tasks, which is where 00:07:17.620 --> 00:07:20.339 a lot of AI agencies seem to get stuck. It points 00:07:20.339 --> 00:07:22.839 to a common trap, getting caught in these high 00:07:22.839 --> 00:07:25.399 -stress, low -margin projects. The guide suggests 00:07:25.399 --> 00:07:28.939 ditching that model. And learning the AI operating 00:07:28.939 --> 00:07:31.439 system model instead, this is about building 00:07:31.439 --> 00:07:34.980 a scalable, repeatable AI service, not just custom, 00:07:35.040 --> 00:07:37.459 single projects for clients. It's about building 00:07:37.459 --> 00:07:39.379 something that generates recurring revenue, not 00:07:39.379 --> 00:07:41.740 just project fees. It's just a smarter way to 00:07:41.740 --> 00:07:44.500 scale, really. So how can creators and businesses 00:07:44.500 --> 00:07:47.079 best leverage these kinds of AI recipes for growth? 00:07:47.339 --> 00:07:49.139 I think focusing on those recurring services 00:07:49.139 --> 00:07:52.639 and the integrated AI workflows, that provides 00:07:52.639 --> 00:07:55.480 a much clearer path to sustainable income. And 00:07:55.480 --> 00:07:57.300 probably less stress, too. It's about building 00:07:57.300 --> 00:07:59.980 a robust, repeatable system, not just individual 00:07:59.980 --> 00:08:02.439 widgets. Makes sense. Sponsor. Okay, let's switch 00:08:02.439 --> 00:08:04.839 gears again for some rapid -fire AI quick hits. 00:08:04.920 --> 00:08:06.639 Keep us up to date with the latest happenings. 00:08:06.899 --> 00:08:09.300 First up, Apple is reportedly crafting its own 00:08:09.300 --> 00:08:12.660 AI web search tool for Siri. This is a direct 00:08:12.660 --> 00:08:15.199 play to rival open AI, and it links right back 00:08:15.199 --> 00:08:17.339 to our first segment on search competition, The 00:08:17.339 --> 00:08:20.000 Plot Fickens. That's a real sign of how central 00:08:20.000 --> 00:08:23.410 AI search is becoming. and how important it is 00:08:23.410 --> 00:08:25.949 for the tech giants to control that experience 00:08:25.949 --> 00:08:27.949 directly. They really don't want to be left behind 00:08:27.949 --> 00:08:30.430 on this one. And speaking of systems, on September 00:08:30.430 --> 00:08:33.169 3rd, ChatGPT actually faced a global outage. 00:08:33.490 --> 00:08:36.210 Thousands of users were affected. It really shows 00:08:36.210 --> 00:08:38.210 that even these incredibly powerful systems, 00:08:38.309 --> 00:08:41.009 while they aren't immune to downtime, technical 00:08:41.009 --> 00:08:43.289 glitches happen. Makes you wonder if we're maybe 00:08:43.289 --> 00:08:45.909 putting all our digital eggs in too few AI baskets, 00:08:45.990 --> 00:08:48.139 right? Absolutely. It's like discovering the 00:08:48.139 --> 00:08:50.840 Internet isn't always on, you know. A reminder 00:08:50.840 --> 00:08:53.139 that this digital infrastructure, however advanced, 00:08:53.539 --> 00:08:56.299 still has its moments of vulnerability. And imagine 00:08:56.299 --> 00:08:59.179 the productivity hit for all those users. A quick, 00:08:59.179 --> 00:09:01.919 sharp lesson in AI reliance. And a bit of drama. 00:09:02.379 --> 00:09:05.519 OpenAI sued Elon Musk while also at the same 00:09:05.519 --> 00:09:08.059 time publicly backing federal AI regulations. 00:09:08.200 --> 00:09:10.779 It's a complex dance, isn't it? Balancing innovation 00:09:10.779 --> 00:09:12.879 with these legal and regulatory pressures, sort 00:09:12.879 --> 00:09:15.850 of a fight and comply strategy. Yeah. It is. 00:09:15.929 --> 00:09:19.610 And speaking of Musk, XAI, his AI firm, just 00:09:19.610 --> 00:09:22.129 saw its CFO leave, another executive departure 00:09:22.129 --> 00:09:25.690 from his AI ventures, which is becoming a bit 00:09:25.690 --> 00:09:28.330 of a trend worth noting, maybe. Maybe so. Finally, 00:09:28.529 --> 00:09:32.570 OpenAI announced a massive $1 .1 billion all 00:09:32.570 --> 00:09:35.700 -stock acquisition. Of the platform, Statsig, 00:09:35.759 --> 00:09:38.379 that's a huge move, expanding their capabilities 00:09:38.379 --> 00:09:40.899 significantly, particularly in the data and analytics 00:09:40.899 --> 00:09:43.679 space. So what do all these rapid fire developments 00:09:43.679 --> 00:09:45.899 tell us about the current state of the AI industry? 00:09:46.240 --> 00:09:48.340 It's just a high stakes, incredibly fast moving 00:09:48.340 --> 00:09:50.960 landscape marked by intense competition, consolidation 00:09:50.960 --> 00:09:54.659 and very real growing pains. It's never a dull 00:09:54.659 --> 00:09:56.330 moment, that's for sure. All right, let's wrap 00:09:56.330 --> 00:09:58.450 up our deep dive today with something truly remarkable. 00:09:58.730 --> 00:10:00.850 This comes from Tencent. They've open sourced 00:10:00.850 --> 00:10:02.990 something called Hanyuan World Voyager. It's 00:10:02.990 --> 00:10:05.490 a new AI system that transforms a single image 00:10:05.490 --> 00:10:09.210 into a fully explorable 3D environment. Not just 00:10:09.210 --> 00:10:11.269 a flat picture, but a world, a world you can 00:10:11.269 --> 00:10:14.370 actually move through. Whoa. Okay, imagine generating 00:10:14.370 --> 00:10:17.250 entire explorable worlds just from one photo. 00:10:17.450 --> 00:10:20.029 You could walk through the space, pan the camera 00:10:20.029 --> 00:10:22.450 with your keyboard or joystick. You can revisit 00:10:22.450 --> 00:10:25.549 past areas, even export the entire 3D environment. 00:10:25.750 --> 00:10:28.450 That's truly incredible, a whole new frontier 00:10:28.450 --> 00:10:31.309 in digital creation. It's kind of mind -bending 00:10:31.309 --> 00:10:33.549 to consider the possibilities there. And what's 00:10:33.549 --> 00:10:36.220 really key here is its smart scene memory. or 00:10:36.220 --> 00:10:39.100 world cache, they call it. This is basically 00:10:39.100 --> 00:10:41.620 an AI that understands and generates physical 00:10:41.620 --> 00:10:44.299 spaces, creating consistent virtual environments. 00:10:44.799 --> 00:10:46.799 Voyager actually remembers areas you've already 00:10:46.799 --> 00:10:49.379 explored, which is crucial for consistency. It's 00:10:49.379 --> 00:10:51.519 not just making up new stuff randomly as you 00:10:51.519 --> 00:10:54.179 move. So revisited zones look exactly the same, 00:10:54.279 --> 00:10:57.440 spatially consistent. This caching ensures that 00:10:57.440 --> 00:10:59.759 consistency, even across long distances. Wow. 00:11:00.039 --> 00:11:02.539 That's been a huge challenge for other image 00:11:02.539 --> 00:11:05.500 to 3D systems. So solving that is a... pretty 00:11:05.500 --> 00:11:06.940 significant breakthrough. It's like a fundamental 00:11:06.940 --> 00:11:09.659 problem they've managed to crack. And the benchmarks, 00:11:10.019 --> 00:11:12.960 they back it up completely. Voyager ranked number 00:11:12.960 --> 00:11:16.259 one on Stanford's world score for spatial coherence, 00:11:16.320 --> 00:11:19.139 outperforming other open source models like Genie 00:11:19.139 --> 00:11:21.559 3 and Mirage. That's really top tier performance, 00:11:21.879 --> 00:11:24.559 setting a new standard. Yeah. World models like 00:11:24.559 --> 00:11:26.419 this. Yeah. They're definitely one of the most 00:11:26.419 --> 00:11:29.240 exciting frontiers in AI right now. Labs are 00:11:29.240 --> 00:11:31.980 racing to build AI systems that genuinely understand 00:11:31.980 --> 00:11:35.259 and generate physical spaces, not just flat 2D 00:11:35.259 --> 00:11:38.039 images or text. It's about moving into genuine 00:11:38.039 --> 00:11:41.240 environmental understanding, a true digital presence. 00:11:42.190 --> 00:11:44.289 Until now, these systems often struggled, either 00:11:44.289 --> 00:11:46.350 with long range exploration or just keeping scenes 00:11:46.350 --> 00:11:48.649 consistent as you move further away. Voyager 00:11:48.649 --> 00:11:51.009 seems to solve both those problems, and it gives 00:11:51.009 --> 00:11:53.230 users direct control to move around in the world 00:11:53.230 --> 00:11:55.210 they generated. This really feels like it could 00:11:55.210 --> 00:11:57.629 be a game changer for virtual environments, doesn't 00:11:57.629 --> 00:11:59.610 it? So what are the most, I don't know, mind 00:11:59.610 --> 00:12:01.590 bending implications of an AI that can build 00:12:01.590 --> 00:12:04.669 consistent, explorable 3D worlds from just a 00:12:04.669 --> 00:12:07.990 single image? Oh, man. It could redefine virtual 00:12:07.990 --> 00:12:10.509 experiences entirely, dramatically accelerate 00:12:10.509 --> 00:12:13.169 design and creativity across so many industries. 00:12:13.409 --> 00:12:15.809 It could even alter our perception of digital 00:12:15.809 --> 00:12:18.450 reality itself. It's like creating a parallel 00:12:18.450 --> 00:12:21.470 universe, basically on demand. So if there's 00:12:21.470 --> 00:12:23.909 one big idea from today's deep dive, I think 00:12:23.909 --> 00:12:27.690 it's this. The landscape of AI is just accelerating 00:12:27.690 --> 00:12:30.759 and shifting dramatically. in almost every direction 00:12:30.759 --> 00:12:32.539 you look yeah we're seeing this fierce battle 00:12:32.539 --> 00:12:35.279 for access and control over information especially 00:12:35.279 --> 00:12:38.259 in ai powered search with new players constantly 00:12:38.259 --> 00:12:41.000 emerging challenging those long -held monopolies 00:12:41.000 --> 00:12:42.899 and simultaneously we're witnessing entirely 00:12:42.899 --> 00:12:45.720 new paradigms emerge like these ai systems that 00:12:45.720 --> 00:12:48.559 can conjure whole explorable 3d worlds from just 00:12:48.559 --> 00:12:51.299 one picture it's this blend of practical application 00:12:51.299 --> 00:12:53.899 and just pure scientific wonder it's pretty amazing 00:12:53.899 --> 00:12:56.399 it really is about unprecedented access to information 00:12:56.399 --> 00:12:59.129 intense competition shaping the future of tech 00:12:59.129 --> 00:13:01.389 and just a constant expansion of what we even 00:13:01.389 --> 00:13:03.509 thought was possible with artificial intelligence. 00:13:03.830 --> 00:13:05.909 What an incredible journey today. Seriously, 00:13:06.129 --> 00:13:08.570 so much happening so fast across the AI world. 00:13:08.909 --> 00:13:11.669 Indeed. It leaves you wondering, doesn't it? 00:13:11.850 --> 00:13:15.330 With AI now capable of building entire explorable 00:13:15.330 --> 00:13:18.830 3D worlds and also fiercely competing for our 00:13:18.830 --> 00:13:21.529 basic search queries, how much of our perceived 00:13:21.529 --> 00:13:24.190 digital reality will soon be synthesized by machines? 00:13:24.490 --> 00:13:26.769 And how will that change our understanding of 00:13:26.769 --> 00:13:29.360 the world around us? That is definitely a thought 00:13:29.360 --> 00:13:31.659 to ponder. Thank you, everyone, for joining us 00:13:31.659 --> 00:13:34.059 for this deep dive. We hope you gained some valuable 00:13:34.059 --> 00:13:36.720 insights today. Keep exploring and keep questioning. 00:13:37.039 --> 00:13:39.320 We'll be back soon with another deep dive into 00:13:39.320 --> 00:13:42.019 the fascinating world around us. Until next time. 00:13:42.100 --> 00:13:42.419 Take care.