WEBVTT 00:00:00.000 --> 00:00:05.379 $13 billion for just one AI company, all in a 00:00:05.379 --> 00:00:07.799 single week. That's how September 2025 kicked 00:00:07.799 --> 00:00:10.640 off. It's a number that really makes you stop 00:00:10.640 --> 00:00:13.320 and think, doesn't it? Absolutely. Welcome, everyone. 00:00:13.660 --> 00:00:16.250 We're looking at what you could call an... astronomical 00:00:16.250 --> 00:00:19.969 phase of capital investment in AI. That first 00:00:19.969 --> 00:00:22.329 week of September, it wasn't just another funding 00:00:22.329 --> 00:00:25.149 cycle. It felt like a real seismic shift. The 00:00:25.149 --> 00:00:28.070 AI wars, as people call them, they're definitely 00:00:28.070 --> 00:00:30.870 heating up. We're seeing battle lines drawn with, 00:00:30.969 --> 00:00:33.609 frankly, unprecedented amounts of money. It feels 00:00:33.609 --> 00:00:35.750 less like just an arms race now and maybe more 00:00:35.750 --> 00:00:38.810 like a space race. Billions pouring in, not just 00:00:38.810 --> 00:00:41.030 to the top players, but kind of across the board. 00:00:41.369 --> 00:00:42.950 That's a good way to put it. This week alone, 00:00:43.090 --> 00:00:46.079 the infusion of capital created these massive 00:00:46.079 --> 00:00:48.539 war chests across the industry. It really signals 00:00:48.539 --> 00:00:51.899 a dramatic escalation in chasing AGI, artificial 00:00:51.899 --> 00:00:54.179 general intelligence. You know, that idea of 00:00:54.179 --> 00:00:56.619 AI performing any intellectual task a human can. 00:00:56.840 --> 00:00:59.100 And it just underscores the monumental computing 00:00:59.100 --> 00:01:01.640 power and honestly, the sheer talent needed to 00:01:01.640 --> 00:01:04.459 even compete at this level. But what really struck 00:01:04.459 --> 00:01:06.920 me looking at the details is it wasn't just about 00:01:06.920 --> 00:01:09.500 classical AI, right? Not just neural networks 00:01:09.500 --> 00:01:13.859 or LLMs. Significant money also flowed into technology 00:01:13.859 --> 00:01:17.480 sort of beyond that, specifically quantum computing. 00:01:18.019 --> 00:01:20.480 Yes, that's a really interesting point. It's 00:01:20.480 --> 00:01:23.219 a clear signal, I think, that the smart money 00:01:23.219 --> 00:01:26.359 isn't only focused on today, but on what's next. 00:01:26.540 --> 00:01:29.219 They're betting on that next technological horizon, 00:01:29.480 --> 00:01:32.260 the one that could fundamentally reshape AI altogether. 00:01:32.909 --> 00:01:34.829 So for you today, we're going to unpack this 00:01:34.829 --> 00:01:37.189 incredible week. We'll start with those huge 00:01:37.189 --> 00:01:39.109 headline grabbing deals for the foundational 00:01:39.109 --> 00:01:41.689 AI models. Look at the sort of different visions 00:01:41.689 --> 00:01:44.209 getting billions and backing. Then we'll pivot 00:01:44.209 --> 00:01:46.349 to that leap into quantum computing, maybe the 00:01:46.349 --> 00:01:49.189 future, but clearly on the radar now. And finally, 00:01:49.209 --> 00:01:52.030 we'll explore this fascinating range of AI applications 00:01:52.030 --> 00:01:54.109 already changing industries, you know, health 00:01:54.109 --> 00:01:56.170 care, customer service, all sorts. It's a deep 00:01:56.170 --> 00:01:58.170 dive into where the money's flowing and what 00:01:58.170 --> 00:02:00.670 it might mean for all of us. OK, so let's dive 00:02:00.670 --> 00:02:03.260 into it. The two biggest stories from that week, 00:02:03.400 --> 00:02:06.519 at least for me, they really showcase different 00:02:06.519 --> 00:02:10.000 but maybe equally compelling visions for AI's 00:02:10.000 --> 00:02:14.439 future. First up, Anthropic. The scale is just 00:02:14.439 --> 00:02:16.879 wow. It was absolutely astounding. Anthropic, 00:02:17.060 --> 00:02:19.919 the creators, the Claude family of LMs, they 00:02:19.919 --> 00:02:24.199 secured an incredible $13 billion, Series F, 00:02:24.340 --> 00:02:27.659 on September 2nd. $13 billion. It's not just 00:02:27.659 --> 00:02:29.580 big. It's one of the largest private funding 00:02:29.580 --> 00:02:32.199 rounds in tech history. Full stop. It's a huge 00:02:32.199 --> 00:02:34.340 war chest. Puts them right up there as a major 00:02:34.340 --> 00:02:36.699 competitor to open AI to Google. And it's not 00:02:36.699 --> 00:02:39.199 just the amount, is it? It's their specific angle, 00:02:39.300 --> 00:02:41.199 their philosophy. Exactly. Their core mission 00:02:41.199 --> 00:02:43.659 isn't just building powerful AI. It's fundamentally 00:02:43.659 --> 00:02:46.340 centered on AI safety. They're aiming to develop 00:02:46.340 --> 00:02:49.419 systems that are steerable, interpretable, and 00:02:49.419 --> 00:02:52.139 really crucially aligned with human values. And 00:02:52.139 --> 00:02:54.219 this focus on safety is not just talk. It seems 00:02:54.219 --> 00:02:56.719 to be a key differentiator for them, a strategic 00:02:56.719 --> 00:03:00.090 choice. Really, in a field where, let's face 00:03:00.090 --> 00:03:01.830 it, concerns about powerful AI are definitely 00:03:01.830 --> 00:03:04.050 growing. They're trying to build in the guardrails 00:03:04.050 --> 00:03:06.509 from the start. And that kind of focus, that 00:03:06.509 --> 00:03:09.629 requires just enormous resources. So this capital, 00:03:09.750 --> 00:03:13.229 it's going straight into funding the huge supercomputing 00:03:13.229 --> 00:03:15.490 needed for training, right? Right. Attracting 00:03:15.490 --> 00:03:17.889 the absolute best AI talent globally, scaling 00:03:17.889 --> 00:03:20.430 up their enterprise offerings. It all fuels that 00:03:20.430 --> 00:03:23.669 long -term mission. Develop safe. beneficial 00:03:23.669 --> 00:03:27.189 agi ushering in they hope an era of responsible 00:03:27.189 --> 00:03:30.289 intelligence a very ambitious goal now let's 00:03:30.289 --> 00:03:32.250 shift just lately but stay with foundational 00:03:32.250 --> 00:03:34.870 models we also saw mistral ai europe's leading 00:03:34.870 --> 00:03:37.550 llm company many would say secure a massive 2 00:03:37.550 --> 00:03:40.490 billion euros that's about what 2 .2 billion 00:03:40.490 --> 00:03:43.569 us dollars in their series d on september 4th 00:03:43.949 --> 00:03:45.990 Still a huge amount. Yeah. And this is where 00:03:45.990 --> 00:03:48.310 you see a really fascinating contrast in strategy. 00:03:49.009 --> 00:03:51.930 Mistral plays a different, but arguably just 00:03:51.930 --> 00:03:54.750 as vital role. They're really a champion of open 00:03:54.750 --> 00:03:57.729 source AI models. Okay. And they're seen as key 00:03:57.729 --> 00:04:01.949 for European AI sovereignty. Unlike some competitors 00:04:01.949 --> 00:04:03.889 who keep their model weights, the inner workings, 00:04:03.889 --> 00:04:06.990 private. Mistral often releases models with open 00:04:06.990 --> 00:04:09.050 weights. Right. So the code, the parameters, 00:04:09.229 --> 00:04:11.490 it's out there for people to see and use. Exactly. 00:04:11.550 --> 00:04:14.340 It's publicly available. And that open approach, 00:04:14.599 --> 00:04:16.740 it has real strategic advantages, doesn't it? 00:04:16.779 --> 00:04:20.000 It helps build this large, loyal community, developers, 00:04:20.279 --> 00:04:22.860 researchers. They can all build on it, improve 00:04:22.860 --> 00:04:25.860 it, scrutinize it. Drives rapid adoption, too, 00:04:25.939 --> 00:04:28.720 because anyone can use and customize their tools. 00:04:28.839 --> 00:04:31.560 It really fosters innovation and transparency. 00:04:31.959 --> 00:04:34.939 So this funding for Mistral, it covers those 00:04:34.939 --> 00:04:37.759 huge compute costs for training new models, but 00:04:37.759 --> 00:04:39.660 also lets them expand their commercial side. 00:04:39.819 --> 00:04:42.269 Precisely. expanding their commercial offerings 00:04:42.269 --> 00:04:44.529 for businesses that want that flexibility, that 00:04:44.529 --> 00:04:47.689 transparency that open source can provide. So 00:04:47.689 --> 00:04:49.610 it really brings up an important question, doesn't 00:04:49.610 --> 00:04:52.350 it? We're funding these two very different paths. 00:04:52.610 --> 00:04:55.170 One closed, proprietary, focused on internal 00:04:55.170 --> 00:04:57.529 safety controls. The other open, collaborative. 00:04:57.850 --> 00:04:59.870 What kind of future are we actually investing 00:04:59.870 --> 00:05:02.089 in here? That's the big question. And it seems 00:05:02.089 --> 00:05:04.189 like the answer, this week anyway, was both. 00:05:04.970 --> 00:05:06.889 Investors are backing the highly controlled, 00:05:07.129 --> 00:05:11.160 safety -focused, anthropic model. open community 00:05:11.160 --> 00:05:14.019 -driven Mistral model. It suggests the market 00:05:14.019 --> 00:05:16.620 sees value in both, maybe for different reasons. 00:05:16.819 --> 00:05:18.560 Right. Maybe not converging on one winner just 00:05:18.560 --> 00:05:21.180 yet. So we've looked at these foundational battles, 00:05:21.339 --> 00:05:24.279 the investments shaping AI right now. But what 00:05:24.279 --> 00:05:27.000 about when investors look further out beyond 00:05:27.000 --> 00:05:29.899 the immediate horizon? That's where it gets really 00:05:29.899 --> 00:05:32.360 interesting, looking at quantum computing. Yes, 00:05:32.360 --> 00:05:34.560 exactly. Quantinium is the perfect example. They 00:05:34.560 --> 00:05:37.220 announced the $600 million funding round September 00:05:37.220 --> 00:05:40.689 4th, led by Honeywell. And that really highlights 00:05:40.689 --> 00:05:42.790 this growing synergy between quantum computing 00:05:42.790 --> 00:05:46.129 and AI. It's fascinating. Yeah, it is. So for 00:05:46.129 --> 00:05:48.470 people maybe less familiar, what is Quantinium 00:05:48.470 --> 00:05:50.730 actually building? And why is it potentially 00:05:50.730 --> 00:05:53.290 so important for AI's future? Well, what's really 00:05:53.290 --> 00:05:54.629 interesting is they're building both the quantum 00:05:54.629 --> 00:05:57.449 hardware and the software, the algorithms that 00:05:57.449 --> 00:05:59.829 run on it. It's an integrated approach. Think 00:05:59.829 --> 00:06:02.110 of quantum computers as a fundamentally new kind 00:06:02.110 --> 00:06:04.750 of machine. Okay. Classical computers use bits, 00:06:04.750 --> 00:06:08.189 zeros, or ones. Quantum uses qubits, zero, one, 00:06:08.290 --> 00:06:10.709 or... both at the same time, thanks to superposition 00:06:10.709 --> 00:06:13.449 and entanglement. This lets them explore just 00:06:13.449 --> 00:06:15.310 vast numbers of possibilities simultaneously. 00:06:15.370 --> 00:06:17.949 They can tackle certain problems that are just 00:06:17.949 --> 00:06:21.730 impossible for even today's best supercomputers. 00:06:21.810 --> 00:06:23.750 And how does that connect specifically to AI? 00:06:23.889 --> 00:06:25.949 What are the implications? Oh, they're profound. 00:06:26.810 --> 00:06:29.449 Imagine optimization problems where current AI 00:06:29.449 --> 00:06:32.089 just gets stuck because the number of possibilities 00:06:32.089 --> 00:06:35.649 is too huge. Or simulating molecules for drug 00:06:35.649 --> 00:06:38.689 discovery or new materials with incredible accuracy. 00:06:38.990 --> 00:06:40.730 Quantum machine learning could unlock totally 00:06:40.730 --> 00:06:43.370 new kinds of algorithms. Not just faster versions 00:06:43.370 --> 00:06:45.870 of what we have now. Exactly. New approaches. 00:06:46.189 --> 00:06:48.250 Leveraging quantum principles could potentially 00:06:48.250 --> 00:06:51.069 supercharge AI capabilities in ways we can barely 00:06:51.069 --> 00:06:54.009 imagine today. Maybe optimizing how deep learning 00:06:54.009 --> 00:06:56.129 models are trained, making them more efficient, 00:06:56.230 --> 00:06:58.730 more powerful. Whoa. Imagine the possibilities 00:06:58.730 --> 00:07:01.290 there. Solving problems we literally can't even 00:07:01.290 --> 00:07:03.439 touch today. That really is... is a leap. So 00:07:03.439 --> 00:07:05.959 this funding helps them push towards fault tolerant 00:07:05.959 --> 00:07:08.740 quantum computers. Yes. Machines powerful enough 00:07:08.740 --> 00:07:11.319 to reliably solve real world commercial problems, 00:07:11.420 --> 00:07:14.060 not just lab experiments. So connecting this 00:07:14.060 --> 00:07:16.800 back to the bigger picture, how soon do you think 00:07:16.800 --> 00:07:19.079 quantum computing could really start to reshape 00:07:19.079 --> 00:07:21.480 the AI landscape, like in a way that impacts 00:07:21.480 --> 00:07:24.759 everyday applications? That is the multi -trillion 00:07:24.759 --> 00:07:27.360 dollar question, isn't it? My gut says it's still 00:07:27.360 --> 00:07:30.019 a ways off for widespread commercial impact. 00:07:30.379 --> 00:07:32.740 But this kind of investment, especially from 00:07:32.740 --> 00:07:36.089 Honeywell, shows serious long -term belief. Are 00:07:36.089 --> 00:07:38.709 we talking decades, do you think? Or could a 00:07:38.709 --> 00:07:40.769 breakthrough speed things up maybe in the next 00:07:40.769 --> 00:07:43.649 five, 10 years for specific areas like drug discovery? 00:07:43.889 --> 00:07:46.329 I'd probably lean towards the five, 10 year mark 00:07:46.329 --> 00:07:49.389 for specific high value applications. The investment 00:07:49.389 --> 00:07:51.870 signals confidence that the science is sound 00:07:51.870 --> 00:07:54.529 and the engineering hurdles, while huge, might 00:07:54.529 --> 00:07:56.750 be solvable within that time frame for certain 00:07:56.750 --> 00:07:59.129 niche problems. It's definitely a marathon, not 00:07:59.129 --> 00:08:01.939 a sprint. But yeah, the pace is picking up. Okay, 00:08:01.980 --> 00:08:04.060 so stepping back from the foundational models 00:08:04.060 --> 00:08:06.939 and the quantum future, what does all this investment 00:08:06.939 --> 00:08:09.600 mean more broadly? Billions aren't just going 00:08:09.600 --> 00:08:11.339 to those headline acts. They're flowing into 00:08:11.339 --> 00:08:13.600 pretty much every corner of the economy. It shows 00:08:13.600 --> 00:08:16.420 how pervasive AI is becoming. Let's look at a 00:08:16.420 --> 00:08:18.079 few examples. Yeah, absolutely. It's not just 00:08:18.079 --> 00:08:20.939 the giants. It's this quieter revolution happening 00:08:20.939 --> 00:08:23.240 in so many sectors. Let's start with customer 00:08:23.240 --> 00:08:25.980 service enterprise automation. Sierra raised 00:08:25.980 --> 00:08:29.480 $350 million on September 4th. They're making 00:08:29.480 --> 00:08:32.220 AI agents for customer service, but these go 00:08:32.220 --> 00:08:36.100 way beyond symbol chatbots. Think about it. AI 00:08:36.100 --> 00:08:39.480 that understands complex issues, pulls data from 00:08:39.480 --> 00:08:41.740 different places, and actually resolves problems 00:08:41.740 --> 00:08:44.500 autonomously using conversational intelligence. 00:08:44.960 --> 00:08:47.159 It's not just reading a script. It's solving 00:08:47.159 --> 00:08:49.220 the problem. Could dramatically change that whole 00:08:49.220 --> 00:08:52.210 experience. That's a huge potential upside. Fewer 00:08:52.210 --> 00:08:54.029 frustrating calls. Yeah. I think everyone can 00:08:54.029 --> 00:08:56.110 get behind that. But it does raise questions 00:08:56.110 --> 00:08:58.110 about the future roles for human agents too, 00:08:58.190 --> 00:09:00.549 doesn't it? Upskilling or displacement? A really 00:09:00.549 --> 00:09:02.929 important question. Absolutely. And then LayerX 00:09:02.929 --> 00:09:05.909 got $100 million on September 1st. They have 00:09:05.909 --> 00:09:08.149 an AI SaaS platform for enterprise automation, 00:09:08.450 --> 00:09:10.809 helping big companies automate complex workflows. 00:09:11.129 --> 00:09:13.870 Using AI to understand business data and execute 00:09:13.870 --> 00:09:17.039 multi -step tasks across different systems. Like 00:09:17.039 --> 00:09:19.299 connecting Salesforce and SAP data automatically. 00:09:19.559 --> 00:09:22.200 Exactly. Processing invoices, onboarding employees, 00:09:22.539 --> 00:09:24.600 stuff that take a lot of manual effort before. 00:09:24.700 --> 00:09:26.720 It's like building with intelligent Lego blocks 00:09:26.720 --> 00:09:28.919 of data and decisions. Which could mean a lot 00:09:28.919 --> 00:09:31.000 of repetitive work disappearing for many office 00:09:31.000 --> 00:09:34.179 workers. Then moving into health care. Drug discovery, 00:09:34.399 --> 00:09:37.539 massive potential here. Treeline Biosciences 00:09:37.539 --> 00:09:40.019 came out of stealth with $200 million on September 00:09:40.019 --> 00:09:43.720 3rd. They're using AI for oncology drug discovery, 00:09:43.940 --> 00:09:47.059 finding new cancer medicines. How does that work 00:09:47.059 --> 00:09:50.899 exactly? Well, imagine AI analyzing just vast 00:09:50.899 --> 00:09:55.120 amounts of genetic molecular patient data, identifying 00:09:55.120 --> 00:09:57.399 new drug targets, maybe even designing potential 00:09:57.399 --> 00:10:00.259 drug molecules way faster than human teams could 00:10:00.259 --> 00:10:02.559 manage. Right. Because the traditional drug discovery 00:10:02.559 --> 00:10:05.580 process is incredibly slow, super expensive and 00:10:05.580 --> 00:10:08.799 often fails. AI promises to make it much faster, 00:10:08.879 --> 00:10:11.360 much more precise, accelerating getting life 00:10:11.360 --> 00:10:13.620 -saving therapies to patients. Yeah, potentially 00:10:13.620 --> 00:10:16.059 by orders of magnitude. And then there's Sighted 00:10:16.059 --> 00:10:18.779 Health, $44 million raised on September 2nd. 00:10:18.799 --> 00:10:21.159 They're focused on early cancer diagnostics, 00:10:21.179 --> 00:10:23.500 developing new tests using biomarkers and AI 00:10:23.500 --> 00:10:25.779 to spot cancer signs at the earliest possible 00:10:25.779 --> 00:10:28.320 stages. Which we know is absolutely key. Early 00:10:28.320 --> 00:10:30.940 detection saves lives. AI sifting through complex 00:10:30.940 --> 00:10:33.519 data to find those subtle early signals, that's 00:10:33.519 --> 00:10:36.159 incredibly powerful. Definitely. It's about finding 00:10:36.159 --> 00:10:39.600 those patterns humans might miss. Okay. Finally, 00:10:39.639 --> 00:10:42.820 let's touch on identity and search. ID .me secured 00:10:42.820 --> 00:10:46.980 $340 million on September 3rd. They're a leader 00:10:46.980 --> 00:10:49.840 in digital identity verification, letting you 00:10:49.840 --> 00:10:53.080 create one secure digital ID to use across different 00:10:53.080 --> 00:10:56.179 online services. AI is critical for verifying 00:10:56.179 --> 00:10:59.179 documents, biometrics accurately and quickly. 00:10:59.419 --> 00:11:01.960 Yeah. In our increasingly digital world, a trusted 00:11:01.960 --> 00:11:04.179 way to verify who you are online is essential 00:11:04.179 --> 00:11:08.500 for security, for fraud prevention. It simplifies 00:11:08.500 --> 00:11:10.740 things for users, but also builds trust. For 00:11:10.740 --> 00:11:13.240 sure. And then U .com raised $100 million. Also 00:11:13.240 --> 00:11:15.299 on September 3rd, they're challenging the big 00:11:15.299 --> 00:11:17.639 search giant, building an AI native search engine 00:11:17.639 --> 00:11:20.019 that gives you direct summarized answers, pulling 00:11:20.019 --> 00:11:22.519 info from across the web instead of just that 00:11:22.519 --> 00:11:24.279 list of blue links you have to click through. 00:11:24.440 --> 00:11:26.419 Soft laugh. Yeah, I still wrestle with prompt 00:11:26.419 --> 00:11:28.000 drift myself sometimes trying to get a straight 00:11:28.000 --> 00:11:30.240 answer from search. So I definitely appreciate 00:11:30.240 --> 00:11:32.500 models aiming for more directness, giving you 00:11:32.500 --> 00:11:35.419 to the answer, not just near it. So, OK, given 00:11:35.419 --> 00:11:37.840 this explosion of applications, and let's be 00:11:37.840 --> 00:11:39.840 honest, the sheer number of things labeled AI 00:11:39.840 --> 00:11:43.700 now. How do we as observers tell the difference 00:11:43.700 --> 00:11:47.100 between real innovation, deserving this cash 00:11:47.100 --> 00:11:50.610 and just, you know, AI washing? That is such 00:11:50.610 --> 00:11:53.769 a critical question. AI washing being like slamming 00:11:53.769 --> 00:11:56.090 an AI label on something that isn't really AI 00:11:56.090 --> 00:11:58.850 driven just for hype or funding. But looking 00:11:58.850 --> 00:12:00.950 at these examples, the money seems to be following 00:12:00.950 --> 00:12:03.730 really concrete problems that AI is solving. 00:12:04.009 --> 00:12:06.789 It's not just a buzzword. It's measurable impact, 00:12:07.049 --> 00:12:08.929 improving customer service, speeding up drug 00:12:08.929 --> 00:12:11.269 discovery, making digital identity more secure. 00:12:11.690 --> 00:12:13.649 Investors seem to be looking for actual solutions 00:12:13.649 --> 00:12:16.009 here, not just marketing spin. Got it. So look 00:12:16.009 --> 00:12:18.049 for the tangible problem being solved. Right. 00:12:18.360 --> 00:12:20.980 mid -roll sponsor read. Wow. Okay, recap in that 00:12:20.980 --> 00:12:23.840 week. It was just wild. We've navigated the sheer 00:12:23.840 --> 00:12:25.960 scale of investment in early September 2025. 00:12:26.519 --> 00:12:29.159 I think we felt like an astronomical phase really 00:12:29.159 --> 00:12:31.379 showing how intensely these AI wars are heating 00:12:31.379 --> 00:12:33.559 up. It really was something. And I think the 00:12:33.559 --> 00:12:35.659 crucial thing to take away is that dual focus 00:12:35.659 --> 00:12:39.700 we saw. On one hand, these massive bets on foundational 00:12:39.700 --> 00:12:43.179 AI, anthropic, Mistral, representing those different 00:12:43.179 --> 00:12:45.159 strategic visions. Right, the closed versus open 00:12:45.159 --> 00:12:47.559 approaches. Exactly. But then alongside that, 00:12:48.080 --> 00:12:51.120 These really crucial investments in next -gen 00:12:51.120 --> 00:12:54.240 tech, especially quantum computing, that's a 00:12:54.240 --> 00:12:56.360 long -term play for the future of computation 00:12:56.360 --> 00:13:00.159 itself. And then the broad spread of applications, 00:13:00.600 --> 00:13:04.100 healthcare, enterprise, identity. It paints a 00:13:04.100 --> 00:13:05.860 really compelling picture. It's not just about 00:13:05.860 --> 00:13:07.860 a few big winners. Yeah, connecting it to the 00:13:07.860 --> 00:13:09.899 bigger picture. This week wasn't just about funding 00:13:09.899 --> 00:13:12.360 companies. It felt more like capitalizing the 00:13:12.360 --> 00:13:14.950 next chapter of human innovation. laying down 00:13:14.950 --> 00:13:17.570 the financial, the technological groundwork for 00:13:17.570 --> 00:13:19.990 the world we're all going to live in. It's building 00:13:19.990 --> 00:13:22.490 the infrastructure for future intelligence. It 00:13:22.490 --> 00:13:24.610 really makes you think, doesn't it, about the 00:13:24.610 --> 00:13:26.789 long -term effects. Here's a question for you 00:13:26.789 --> 00:13:30.210 listening. What single innovation from this funding 00:13:30.210 --> 00:13:33.289 spree, whether it's, say, for AI, open models, 00:13:33.470 --> 00:13:36.169 quantum breakthroughs, or a specific application, 00:13:36.409 --> 00:13:38.710 do you think will have the biggest, maybe most 00:13:38.710 --> 00:13:41.669 unexpected impact on your daily life in the next 00:13:41.669 --> 00:13:44.370 five years? And why? Give that some thought. 00:13:44.830 --> 00:13:46.789 That's a great question to ponder. And I just 00:13:46.789 --> 00:13:49.269 add, as we watch these technologies accelerate 00:13:49.269 --> 00:13:51.909 so incredibly fast, developing our own critical 00:13:51.909 --> 00:13:53.750 thinking skills is going to be absolutely essential 00:13:53.750 --> 00:13:56.049 for all of us. Navigating this landscape isn't 00:13:56.049 --> 00:13:57.970 just about understanding the tech, but really 00:13:57.970 --> 00:14:00.370 understanding its ripple effects on society, 00:14:00.549 --> 00:14:02.850 on our lives. That's a perfect thought to end 00:14:02.850 --> 00:14:04.350 on. Thank you so much for joining us on this 00:14:04.350 --> 00:14:07.129 deep dive into the future of AI, as seen through 00:14:07.129 --> 00:14:09.549 one incredible week of investment. Out to your 00:14:09.549 --> 00:14:09.909 own music.