WEBVTT 00:00:00.000 --> 00:00:03.500 Imagine a future where your AI isn't just, you 00:00:03.500 --> 00:00:05.900 know, a tool you use, but a genuine teammate, 00:00:06.080 --> 00:00:09.140 a collaborator working right alongside you. We're 00:00:09.140 --> 00:00:11.039 going to dive into that reality today and explore 00:00:11.039 --> 00:00:13.939 how one company is strategically reshaping the 00:00:13.939 --> 00:00:17.280 entire AI landscape. Welcome to the deep dive. 00:00:17.579 --> 00:00:19.899 This is where we sift through the noise and unpack 00:00:19.899 --> 00:00:23.070 complex information just for you. Today, we're 00:00:23.070 --> 00:00:25.230 dissecting a fascinating stack of insights, all 00:00:25.230 --> 00:00:27.269 centered around the rapid evolution of artificial 00:00:27.269 --> 00:00:29.589 intelligence. We'll kick things off exploring 00:00:29.589 --> 00:00:33.289 Google's ambitious vision, weaving AI directly 00:00:33.289 --> 00:00:36.109 into your everyday workflow. Then we'll take 00:00:36.109 --> 00:00:38.210 a quick tour through other significant AI developments 00:00:38.210 --> 00:00:40.729 happening across the industry right now. And 00:00:40.729 --> 00:00:42.549 finally, we'll turn our attention to the powerful 00:00:42.549 --> 00:00:45.130 force that is NVIDIA and how they're fundamentally 00:00:45.130 --> 00:00:47.670 reshaping the chip industry beneath it all. It 00:00:47.670 --> 00:00:49.750 truly is a dynamic landscape. I mean, from the 00:00:49.750 --> 00:00:51.590 idea of an AI co -worker sitting right there 00:00:51.590 --> 00:00:53.759 beside you. you to companies achieving valuations 00:00:53.759 --> 00:00:57.000 we've never seen before, all fueled by this tech. 00:00:57.460 --> 00:00:59.479 Get ready for some really eye -opening facts 00:00:59.479 --> 00:01:01.939 and insights. This deep dive is tailor -made 00:01:01.939 --> 00:01:04.250 for you. Okay, let's unpack this vision Google 00:01:04.250 --> 00:01:07.450 has. They're making a massive shift, moving towards 00:01:07.450 --> 00:01:10.150 what they call an agentic enterprise approach. 00:01:10.489 --> 00:01:13.670 So this isn't just about powerful AI models anymore. 00:01:13.849 --> 00:01:16.409 It's about a full AI workforce designed to be 00:01:16.409 --> 00:01:19.650 an integral part of your team. Exactly. And maybe 00:01:19.650 --> 00:01:21.510 the most compelling example right now is their 00:01:21.510 --> 00:01:25.189 Gemini CLI GitHub actions. CLI, by the way, that's 00:01:25.189 --> 00:01:26.950 command line interface, just a way to interact 00:01:26.950 --> 00:01:30.030 with programs using text commands. So imagine 00:01:30.030 --> 00:01:32.469 it like a dedicated coding teammate, seamlessly 00:01:32.469 --> 00:01:35.510 baked right into your repository, you know, where 00:01:35.510 --> 00:01:37.890 all your project files and code live. What's 00:01:37.890 --> 00:01:39.750 really fascinating here are its core functions. 00:01:40.129 --> 00:01:43.730 It can automatically label, prioritize. It even 00:01:43.730 --> 00:01:46.209 routes new GitHub issues for you. It gives you 00:01:46.209 --> 00:01:48.290 instant feedback on your code's quality, its 00:01:48.290 --> 00:01:50.930 style, and maybe most importantly, its correctness. 00:01:51.069 --> 00:01:53.569 It even offers on -demand collaboration. right 00:01:53.569 --> 00:01:55.310 there in your workflow. It's almost like this 00:01:55.310 --> 00:01:58.450 vibe -coded AI coworker that just understands 00:01:58.450 --> 00:02:00.629 and adapts to your team's specific working style. 00:02:00.849 --> 00:02:03.129 Just fits right in. And here's a crucial detail, 00:02:03.269 --> 00:02:05.950 really a game changer. It's 100 % free, available 00:02:05.950 --> 00:02:08.349 on the GitHub Marketplace right now. That's fascinating 00:02:08.349 --> 00:02:10.710 for coding. What about, well, beyond software 00:02:10.710 --> 00:02:12.990 development, I've heard... Google is also pushing 00:02:12.990 --> 00:02:15.629 these AI agents into areas like data management. 00:02:15.750 --> 00:02:17.430 What does that look like? Oh, absolutely. It 00:02:17.430 --> 00:02:19.169 definitely doesn't stop with coding. Yeah. They're 00:02:19.169 --> 00:02:21.629 rolling out four brand new agents specifically 00:02:21.629 --> 00:02:24.389 for their data cloud, which helps manage and 00:02:24.389 --> 00:02:26.830 analyze those huge data sets. We're talking about 00:02:26.830 --> 00:02:29.330 a data engineering agent for BigQuery, their 00:02:29.330 --> 00:02:33.030 big cloud data warehouse, a data science agent 00:02:33.030 --> 00:02:35.250 for Vertex AI, which is their machine learning 00:02:35.250 --> 00:02:38.150 platform, and Colab, Google's cloud notebook 00:02:38.150 --> 00:02:40.629 thing. They've also upgraded their conversational 00:02:40.629 --> 00:02:43.590 analytics agent. and added a brand new code interpreter 00:02:43.590 --> 00:02:46.289 as an add -on. So yeah, it's a much broader play 00:02:46.289 --> 00:02:49.270 than just code. That's a lot of specialized AI. 00:02:49.689 --> 00:02:52.349 So while a company like OpenAI has focused so 00:02:52.349 --> 00:02:54.270 heavily on just building bigger, more capable 00:02:54.270 --> 00:02:56.889 models, Google is clearly aiming for these end 00:02:56.889 --> 00:02:59.409 -to -end workflows. What's the real impact of 00:02:59.409 --> 00:03:02.030 that strategy for, let's say, a small team? Well, 00:03:02.090 --> 00:03:04.650 it means you now basically have a zero -cost 00:03:04.650 --> 00:03:07.349 AI teammate for every pull request, you know, 00:03:07.349 --> 00:03:09.319 when you propose changes to the code. This is 00:03:09.319 --> 00:03:12.039 going to profoundly reshape how small teams can 00:03:12.039 --> 00:03:14.719 build at incredible speed. Why it matters is 00:03:14.719 --> 00:03:16.800 that AI is already working beside you the moment 00:03:16.800 --> 00:03:19.139 you spin up a new repository or open a notebook. 00:03:19.740 --> 00:03:22.280 These AI agents, and this is key, they do the 00:03:22.280 --> 00:03:24.060 work, they explain how they did it, and they 00:03:24.060 --> 00:03:26.500 adapt to your feedback just like a real coworker 00:03:26.500 --> 00:03:29.560 would, honestly. I still wrestle with how to 00:03:29.560 --> 00:03:32.539 best adapt my own workflow when AI becomes this 00:03:32.539 --> 00:03:35.039 seamlessly integrated. It's like, do I even need 00:03:35.039 --> 00:03:37.000 to learn that complex command anymore? Or should 00:03:37.000 --> 00:03:39.080 I just describe what I want? Beat. It's a fundamental 00:03:39.080 --> 00:03:41.520 shift trying to optimize my own process when 00:03:41.520 --> 00:03:43.930 the AI is just. taking on more and more yeah 00:03:43.930 --> 00:03:45.789 it almost feels like the meta skill now is learning 00:03:45.789 --> 00:03:48.490 how to orchestrate the ai right rather than mastering 00:03:48.490 --> 00:03:50.150 every single tool yourself it's not just about 00:03:50.150 --> 00:03:53.210 efficiency is it how do you see this new ai teammate 00:03:53.210 --> 00:03:55.330 concept actually changing the dynamic within 00:03:55.330 --> 00:03:57.669 a team beyond just speed how does it reshape 00:03:57.669 --> 00:04:00.469 roles or maybe even the culture well it certainly 00:04:00.469 --> 00:04:03.550 redefines support That instant adaptive feedback 00:04:03.550 --> 00:04:06.069 we talked about, it's like having a co -pilot 00:04:06.069 --> 00:04:09.009 who never sleeps, constantly optimizing. For 00:04:09.009 --> 00:04:11.289 small teams, this isn't just efficiency, it's 00:04:11.289 --> 00:04:13.729 enablement. They can punch way above their weight. 00:04:13.830 --> 00:04:15.830 They can build things they simply couldn't before 00:04:15.830 --> 00:04:18.649 because the AI handles so much of the foundational, 00:04:18.850 --> 00:04:21.709 repetitive, or even complex debugging stuff. 00:04:22.089 --> 00:04:25.730 It shifts human effort from pure execution to 00:04:25.730 --> 00:04:28.430 higher level strategy and creativity. So it really 00:04:28.430 --> 00:04:30.410 frees people up for the bigger picture stuff. 00:04:30.610 --> 00:04:33.269 Exactly. It's truly transformative for team productivity. 00:04:33.529 --> 00:04:35.709 It really is incredible to see that level of 00:04:35.709 --> 00:04:37.790 integration. And, you know, it's not just Google 00:04:37.790 --> 00:04:40.250 driving these shifts. There's a whole flurry 00:04:40.250 --> 00:04:42.509 of other significant development shaping the 00:04:42.509 --> 00:04:45.550 AI world right now. Market strategies, talent 00:04:45.550 --> 00:04:48.259 wars. Let's dig into some of those next. Yeah, 00:04:48.279 --> 00:04:50.120 what's fascinating here is Google's commitment 00:04:50.120 --> 00:04:53.480 to future talent. Get this. They poured a billion 00:04:53.480 --> 00:04:56.060 dollars into giving students a free year of Google 00:04:56.060 --> 00:04:59.560 AI Pro. That includes tools like Gemini 2 .5 00:04:59.560 --> 00:05:02.800 Pro. And over 100 U .S. universities are on that 00:05:02.800 --> 00:05:06.079 list. That's a real long term. play, you know, 00:05:06.100 --> 00:05:08.259 ensuring the next generation is trained up on 00:05:08.259 --> 00:05:11.620 their ecosystem. And meanwhile, OpenAI is making 00:05:11.620 --> 00:05:13.860 some seriously strategic moves. They're practically 00:05:13.860 --> 00:05:17.019 giving full chat GPT enterprise access to the 00:05:17.019 --> 00:05:18.860 government, like for just one dollar per year. 00:05:18.939 --> 00:05:21.180 That's clearly a strategic land grab, right? 00:05:21.300 --> 00:05:23.639 Aiming to outmaneuver competitors like Google 00:05:23.639 --> 00:05:27.139 and Anthropic in that really vital sector. It's 00:05:27.139 --> 00:05:28.720 almost like they're saying, look, we want to 00:05:28.720 --> 00:05:30.920 be the default AI for national infrastructure. 00:05:30.959 --> 00:05:33.259 Yeah, totally. And the talent wars, they are 00:05:33.259 --> 00:05:35.910 heating up. Microsoft just swooped in on Google's 00:05:35.910 --> 00:05:39.110 AI unit, hiring over two dozen AI experts. They're 00:05:39.110 --> 00:05:41.189 offering bigger paychecks and apparently startup 00:05:41.189 --> 00:05:44.209 vibes to supercharge Copilot and directly challenge 00:05:44.209 --> 00:05:46.949 OpenAI. It's a real chess game for human capital, 00:05:47.029 --> 00:05:48.610 just pulling top minds wherever they can find 00:05:48.610 --> 00:05:50.879 them. It's kind of wild. Speaking of Google, 00:05:50.980 --> 00:05:52.720 they're also making an interesting argument about 00:05:52.720 --> 00:05:55.560 search traffic. They claim AI isn't actually 00:05:55.560 --> 00:05:58.879 killing clicks, saying organic traffic from search 00:05:58.879 --> 00:06:01.860 has been, quote, relatively stable. They even 00:06:01.860 --> 00:06:04.620 suggest that click quality has gone up, attributing 00:06:04.620 --> 00:06:07.600 changes simply to user behavior shifting, not 00:06:07.600 --> 00:06:10.319 the AI itself. That's a pretty bold claim, I 00:06:10.319 --> 00:06:12.379 think, with all the talk about AI summaries replacing 00:06:12.379 --> 00:06:14.639 traditional search results. Right. And if we 00:06:14.639 --> 00:06:17.220 connect this to the bigger market picture. Look 00:06:17.220 --> 00:06:19.860 at the fundraising news. Clay, an eight -year 00:06:19.860 --> 00:06:22.600 -old AI sales startup just raised $100 million 00:06:22.600 --> 00:06:26.220 at a massive $3 .1 billion valuation. They've 00:06:26.220 --> 00:06:28.920 got big names like Capital G and Sequoia backing 00:06:28.920 --> 00:06:31.339 them, and they're expecting $100 million in revenue 00:06:31.339 --> 00:06:33.720 in 2025. That's three times what they made last 00:06:33.720 --> 00:06:36.300 year. Just explosive growth for a company that's 00:06:36.300 --> 00:06:38.139 been around, now suddenly hitting its stride 00:06:38.139 --> 00:06:41.920 with AI. So looking at Google's agitation push, 00:06:42.139 --> 00:06:44.459 OpenAI's government play, Microsoft's talent 00:06:44.459 --> 00:06:47.160 raids, what's really striking is how these companies 00:06:47.160 --> 00:06:49.540 aren't just competing on the tech itself, but 00:06:49.540 --> 00:06:52.120 on future influence. It seems less about who 00:06:52.120 --> 00:06:54.000 is the best model today and more about who's 00:06:54.000 --> 00:06:56.360 building the deepest relationships for AI integration 00:06:56.360 --> 00:06:59.259 tomorrow. Exactly. It's about planting flags 00:06:59.259 --> 00:07:02.500 across the entire ecosystem. Education. Government. 00:07:03.620 --> 00:07:05.819 Recognizing that AI isn't just another product, 00:07:05.959 --> 00:07:08.300 it's becoming a foundational layer for pretty 00:07:08.300 --> 00:07:10.680 much everything. That's a huge shift in how we 00:07:10.680 --> 00:07:12.639 think about tech market dominance. Okay, moving 00:07:12.639 --> 00:07:15.160 on, let's dive into a rapid fire look at some 00:07:15.160 --> 00:07:17.279 intriguing new AI tools and quick developments 00:07:17.279 --> 00:07:19.360 popping up. It feels like new stuff emerges daily. 00:07:19.839 --> 00:07:21.860 Oh, absolutely. On the design and agent front, 00:07:21.959 --> 00:07:24.019 there's this thing called the AI design blueprint. 00:07:24.339 --> 00:07:26.879 It's more than just prompts. It's like a complete 00:07:26.879 --> 00:07:29.800 playbook for developers to build pro -level user 00:07:29.800 --> 00:07:34.019 interfaces using AI from raw idea to polished 00:07:34.019 --> 00:07:37.079 mock -up super fast. And for those who want more 00:07:37.079 --> 00:07:40.220 freedom, you can now build custom AI agents in 00:07:40.220 --> 00:07:42.519 N8n. That's a popular open source automation 00:07:42.519 --> 00:07:45.579 tool using Langchain's code node. That gives 00:07:45.579 --> 00:07:47.439 you more direct control over how the AI models 00:07:47.439 --> 00:07:50.529 interact. This whole agent era is also being 00:07:50.529 --> 00:07:52.550 explored with ChatGPT's new feature that can 00:07:52.550 --> 00:07:55.449 book trips and shop for you. We're really seeing 00:07:55.449 --> 00:07:58.050 these AI assistants start to handle more complex, 00:07:58.230 --> 00:08:00.990 multi -step tasks. And we're seeing new creative 00:08:00.990 --> 00:08:03.290 and development tools constantly. There's JEO 00:08:03.290 --> 00:08:06.410 promising cinematic AI videos in seconds. It 00:08:06.410 --> 00:08:09.329 leverages powerful models like VO3 and Kling. 00:08:09.470 --> 00:08:11.949 Those are the newer, highly anticipated AI video 00:08:11.949 --> 00:08:14.790 generators. For web development, NoCodeCurl .com 00:08:14.790 --> 00:08:17.089 lets you build customizable websites without 00:08:17.089 --> 00:08:19.139 touching any code. And then there's Shipper .Now, 00:08:19.259 --> 00:08:21.500 which can apparently create live full stack applications 00:08:21.500 --> 00:08:24.259 just by talking to the AI. It's almost unbelievable 00:08:24.259 --> 00:08:26.420 the speed you can go from idea to working app 00:08:26.420 --> 00:08:28.800 now. Yeah, it's accelerating fast. And on the 00:08:28.800 --> 00:08:31.620 quick update side, you can now easily create 00:08:31.620 --> 00:08:33.580 storybooks with the Gemini app, which is pretty 00:08:33.580 --> 00:08:36.360 neat. Google also rolled out their new guided 00:08:36.360 --> 00:08:38.899 learning tool, kind of taking on GPT study mode. 00:08:39.419 --> 00:08:42.679 Elon Musk hinted XAI could open source Grok 2 00:08:42.679 --> 00:08:45.820 as early as next week, which, you know, we'll 00:08:45.820 --> 00:08:47.980 see. Google's asynchronous coding agent, the 00:08:47.980 --> 00:08:49.960 one we were just talking about, is now generally 00:08:49.960 --> 00:08:52.299 available for everyone. And there's this ongoing 00:08:52.299 --> 00:08:54.659 kind of interesting dispute between OpenAI and 00:08:54.659 --> 00:08:57.720 The New York Times over about 120 million private 00:08:57.720 --> 00:09:01.279 chats. That one's messy. You really see that 00:09:01.279 --> 00:09:03.120 common thread, though, don't you? AI is just 00:09:03.120 --> 00:09:05.240 systematically making complex tasks simpler. 00:09:05.690 --> 00:09:07.870 it's accelerating creation and access across 00:09:07.870 --> 00:09:11.210 the board coding designing even writing a kid's 00:09:11.210 --> 00:09:13.190 book yeah it's not just for experts anymore it's 00:09:13.190 --> 00:09:15.669 really democratizing these capabilities absolutely 00:09:15.669 --> 00:09:18.789 it's almost like every new tool we discuss relies 00:09:18.789 --> 00:09:21.490 on this underlying engine right this foundation 00:09:21.490 --> 00:09:24.210 and that brings us to something truly foundational 00:09:24.210 --> 00:09:26.909 to all of this the chip industry because if ai 00:09:26.909 --> 00:09:29.029 is the new gold rush nvidia isn't just selling 00:09:29.029 --> 00:09:31.669 shovels they basically own the mine this new 00:09:31.669 --> 00:09:34.029 ranking of america's top chip makers really shows 00:09:34.029 --> 00:09:37.149 just how far ahead nvidia is and how far behind 00:09:37.149 --> 00:09:38.970 some others are falling oh the numbers for nvidia 00:09:38.970 --> 00:09:42.529 are just Ridiculous, honestly. In 2024, they 00:09:42.529 --> 00:09:45.570 posted $130 .5 billion in revenue. That's more 00:09:45.570 --> 00:09:48.009 than Intel and Broadcom combined. They saw over 00:09:48.009 --> 00:09:51.009 114 % year -over -year growth thanks to what 00:09:51.009 --> 00:09:53.970 they call explosive AI demand. It really is explosive. 00:09:54.409 --> 00:09:56.330 They now own something like 80 % of the data 00:09:56.330 --> 00:09:58.629 center GPU market. Those are the graphics processing 00:09:58.629 --> 00:10:01.629 units essential for training AI. And their stock, 00:10:01.850 --> 00:10:04.509 up 15 ,505 % over the last five years. Just think 00:10:04.509 --> 00:10:06.190 about that. Neat. NVIDIA is now the most valuable 00:10:06.190 --> 00:10:07.929 company in the world, period. Wow. Meanwhile, 00:10:08.149 --> 00:10:09.960 their competitors are really... struggling or 00:10:09.960 --> 00:10:13.360 just doing okay. Intel is bleeding revenue. Their 00:10:13.360 --> 00:10:15.820 margins are deep in the red. Their big foundry 00:10:15.820 --> 00:10:17.720 pivot trying to make chips for others isn't really 00:10:17.720 --> 00:10:20.480 working out, at least not yet. AMD is, you know, 00:10:20.519 --> 00:10:22.600 doing okay, riding their Zen chips and server 00:10:22.600 --> 00:10:25.100 momentum, but nowhere near NVIDIA's level in 00:10:25.100 --> 00:10:28.399 AI. Broadcom had a big win with AI networking, 00:10:28.519 --> 00:10:31.539 plus that VMware deal really boosted them a 901 00:10:31.539 --> 00:10:34.940 % stock return, which is amazing in itself. And 00:10:34.940 --> 00:10:37.279 Qualcomm, while strong in phone modems and automotive 00:10:37.279 --> 00:10:39.980 chips, isn't really in this huge data center 00:10:39.980 --> 00:10:43.059 GPU arms race that NVIDIA just completely dominates. 00:10:43.259 --> 00:10:45.960 Yeah, and this is critical because NVIDIA's GPUs, 00:10:45.980 --> 00:10:48.740 they're sold out for months. All the major cloud 00:10:48.740 --> 00:10:51.379 giants, Google, Amazon, Microsoft, they're all 00:10:51.379 --> 00:10:53.460 racing to build out their AI infrastructure and 00:10:53.460 --> 00:10:55.799 they need these specific chips. So yeah, to hammer 00:10:55.799 --> 00:10:58.379 that analogy again, AI is the new oil and NVIDIA 00:10:58.379 --> 00:11:00.559 is selling all the pickaxes. Right now, pretty 00:11:00.559 --> 00:11:02.659 much all roads in AI infrastructure lead directly 00:11:02.659 --> 00:11:05.500 through NVIDIA. Whoa. Just imagine the sheer 00:11:05.500 --> 00:11:08.159 scale of compute power needed for these companies 00:11:08.159 --> 00:11:10.919 to fuel AI. It really does feel like all roads 00:11:10.919 --> 00:11:14.360 lead through NVIDIA. But is that actually a healthy 00:11:14.360 --> 00:11:17.080 thing? What are the real risks of one company 00:11:17.080 --> 00:11:20.320 holding so much power in AI infrastructure beyond 00:11:20.320 --> 00:11:22.000 just, you know, questions about competition? 00:11:22.799 --> 00:11:25.580 That's a massive point. Think about supply chain 00:11:25.580 --> 00:11:28.000 vulnerabilities for a start. What if something 00:11:28.000 --> 00:11:30.240 happens to NVIDIA's production? Then there's 00:11:30.240 --> 00:11:32.720 pricing power that can essentially dictate terms. 00:11:33.870 --> 00:11:35.750 maybe most importantly, the pace of innovation 00:11:35.750 --> 00:11:38.450 for everyone else. If innovation and AI gets 00:11:38.450 --> 00:11:41.029 bottlenecked by access to just one provider's 00:11:41.029 --> 00:11:43.129 hardware, it could fundamentally slow down the 00:11:43.129 --> 00:11:46.049 entire industry or create an even more uneven 00:11:46.049 --> 00:11:48.309 playing field where only the absolute giants 00:11:48.309 --> 00:11:50.669 can afford to compete at the cutting edge. It 00:11:50.669 --> 00:11:52.350 definitely raises serious antitrust concerns 00:11:52.350 --> 00:11:54.350 down the line. It's something everyone in the 00:11:54.350 --> 00:11:56.460 industry is watching very, very closely. So what 00:11:56.460 --> 00:11:59.500 we've really seen today is AI moving from being 00:11:59.500 --> 00:12:02.460 the specialized tool to becoming a truly integrated 00:12:02.460 --> 00:12:05.120 teammate. It's shaping education, government, 00:12:05.279 --> 00:12:07.519 how companies are built from the ground up. And 00:12:07.519 --> 00:12:09.919 underpinning it all is this incredible, almost 00:12:09.919 --> 00:12:13.220 unparalleled dominance of NVIDIA in the hardware 00:12:13.220 --> 00:12:17.059 space. Pretty clear picture of AI's pervasive 00:12:17.059 --> 00:12:19.480 impact, wouldn't you say? Absolutely. This deep 00:12:19.480 --> 00:12:21.799 dive truly highlights how AI isn't just some 00:12:21.799 --> 00:12:23.899 separate industry anymore. It's becoming the 00:12:23.899 --> 00:12:26.220 actual fabric of how we work and build. Yeah. 00:12:26.340 --> 00:12:28.039 So as you think about your own field, what stands 00:12:28.039 --> 00:12:31.320 out to you from today's discussion? Geet. How 00:12:31.320 --> 00:12:33.600 will these AI teammates, these chip monopolies, 00:12:33.659 --> 00:12:35.639 how will they reshape your own daily work or 00:12:35.639 --> 00:12:37.720 maybe the competitive landscape you operate in? 00:12:37.799 --> 00:12:39.360 It's definitely something powerful to consider 00:12:39.360 --> 00:12:41.460 as this whole journey continues. Out to you, 00:12:41.480 --> 00:12:41.700 O Music.