WEBVTT 00:00:00.000 --> 00:00:04.440 Okay, imagine this. An AI. Super smart. Smart 00:00:04.440 --> 00:00:09.099 enough to win a math Olympiad. Yeah. But it also 00:00:09.099 --> 00:00:11.500 internally triggers warnings. Yeah. For potentially 00:00:11.500 --> 00:00:14.199 helping make, you know, bioweapons, chem stuff, 00:00:14.300 --> 00:00:16.600 maybe even nuclear weapons. Yeah, exactly. That's 00:00:16.600 --> 00:00:18.940 Google's new DeepThink. And a version of it is 00:00:18.940 --> 00:00:21.559 kind of right there on your phone. Wild stuff. 00:00:21.920 --> 00:00:25.339 Welcome to the Deep Dive. Today, yeah, we're 00:00:25.339 --> 00:00:27.339 going to unpack a whole stack of insights from 00:00:27.339 --> 00:00:29.640 AI revolution, Google's deep think and industry 00:00:29.640 --> 00:00:32.960 shifts and related AI news that's been popping 00:00:32.960 --> 00:00:34.899 up. Our mission really is just to cut through 00:00:34.899 --> 00:00:36.759 all the noise, find the surprising bits, the 00:00:36.759 --> 00:00:38.960 important facts, and help you get a real handle 00:00:38.960 --> 00:00:41.600 on where AI is heading quickly, clearly. We'll 00:00:41.600 --> 00:00:44.179 look at Google's new AI brain, this DeepThink, 00:00:44.219 --> 00:00:47.520 how other companies are racing like mad to build 00:00:47.520 --> 00:00:49.380 even smarter systems. And definitely what all 00:00:49.380 --> 00:00:52.000 this rapid change might mean for, you know, your 00:00:52.000 --> 00:00:54.179 job, your future. It's going to be a proper deep 00:00:54.179 --> 00:00:55.670 dive. All right, let's start with that first 00:00:55.670 --> 00:00:57.649 big piece, Google's deep think. They didn't exactly 00:00:57.649 --> 00:00:59.909 shout about this launch, did they? No, it was 00:00:59.909 --> 00:01:02.049 kind of quiet. But make no mistake, this isn't 00:01:02.049 --> 00:01:05.269 just like another chatbot update. Right. This 00:01:05.269 --> 00:01:08.629 is a version, a variant of the AI model that 00:01:08.629 --> 00:01:11.230 actually got a gold medal at this year's International 00:01:11.230 --> 00:01:14.750 Math Olympiad, the IMO. Yeah, think about that. 00:01:14.790 --> 00:01:17.950 The absolute smartest high school math kids on 00:01:17.950 --> 00:01:20.750 the planet. And an AI comes along and, well, 00:01:20.870 --> 00:01:23.390 wins gold. And a version of that same AI. Yeah. 00:01:23.900 --> 00:01:26.340 It performs at a bronze medal level, but it's 00:01:26.340 --> 00:01:28.540 right inside the Gemini app. Yep, right there. 00:01:28.939 --> 00:01:31.980 Better than most high school math geniuses. Running 00:01:31.980 --> 00:01:35.079 on your phone, it's accessible power. Something 00:01:35.079 --> 00:01:37.319 different. What I find really interesting is 00:01:37.319 --> 00:01:39.560 how it actually solves problems. Google calls 00:01:39.560 --> 00:01:42.370 it a... parallel thinking techniques. Instead 00:01:42.370 --> 00:01:44.709 of just going down one path step by step. It 00:01:44.709 --> 00:01:46.969 like explores loads of different ways to tackle 00:01:46.969 --> 00:01:49.489 the problem all at once. Exactly. Like a super 00:01:49.489 --> 00:01:52.430 fast, really efficient brainstorm, trying out 00:01:52.430 --> 00:01:54.329 all these angles super quick, then locking in 00:01:54.329 --> 00:01:56.109 the best one. But OK, let's manage expectations. 00:01:56.530 --> 00:01:58.870 It's not about to replace a research physicist 00:01:58.870 --> 00:02:02.290 just yet. Softly. No, no, not quite yet. That 00:02:02.290 --> 00:02:04.430 full gold medal power that's still very much 00:02:04.430 --> 00:02:06.450 kept in the lab under wraps. So the version in 00:02:06.450 --> 00:02:09.830 Gemini is constrained. Right. It's powerful for 00:02:09.830 --> 00:02:13.009 what it is, accessible, but it's not the full 00:02:13.009 --> 00:02:15.270 unlocked potential. Oh, and yeah, the access. 00:02:15.669 --> 00:02:18.770 Ah, the price tag. Yep. Only for AI Ultra subscribers 00:02:18.770 --> 00:02:21.530 right now. And that costs, wait for it, about 00:02:21.530 --> 00:02:27.069 $250 a month. Wow. Okay. Yeah. Really? Kind of 00:02:27.069 --> 00:02:28.830 shows you who they think the early adopters are, 00:02:28.849 --> 00:02:30.969 doesn't it? Or where the initial value lies. 00:02:31.189 --> 00:02:33.210 So if we boil it down, what's the main thing 00:02:33.210 --> 00:02:35.189 to understand about DeepThink's power level that 00:02:35.189 --> 00:02:37.530 we can actually access right now? It's Olympia 00:02:37.530 --> 00:02:40.370 -level math smarts, accessible on your phone, 00:02:40.430 --> 00:02:43.610 but definitely not its full research power. Okay, 00:02:43.669 --> 00:02:46.569 now this next part. This is where it gets really 00:02:46.569 --> 00:02:50.030 interesting and maybe a little concerning. Mm 00:02:50.030 --> 00:02:52.990 -hmm. The internal red flags at Google. Yeah. 00:02:53.419 --> 00:02:56.379 This AI deep think it actually triggered their 00:02:56.379 --> 00:02:58.860 own internal safety alerts. Right. Google themselves 00:02:58.860 --> 00:03:01.180 said it might have reached a, quote, critical 00:03:01.180 --> 00:03:03.900 capability level. That's their term. Yeah, their 00:03:03.900 --> 00:03:06.280 term. Yeah. For potentially helping bad actors 00:03:06.280 --> 00:03:09.639 with, like you said, biochem or even nuclear 00:03:09.639 --> 00:03:11.539 weapons knowledge. OK, so they're not saying 00:03:11.539 --> 00:03:14.259 it can do that. No, not that it crossed the line, 00:03:14.340 --> 00:03:16.719 but it got close enough that, boom, they added 00:03:16.719 --> 00:03:19.900 extra monitoring, tighter safety rules. Right. 00:03:20.000 --> 00:03:24.409 Two sec silence. Whoa. I mean, just imagine scaling 00:03:24.409 --> 00:03:28.009 that. An AI that capable, potentially doing a 00:03:28.009 --> 00:03:31.009 billion queries a day. Yeah, that raises huge 00:03:31.009 --> 00:03:34.229 questions about how fast this is all moving and 00:03:34.229 --> 00:03:36.530 the responsibility that comes with it. And it's 00:03:36.530 --> 00:03:38.629 not like Google's alone in this. This isn't happening 00:03:38.629 --> 00:03:41.389 in some, you know, quiet corner. No, it's a full 00:03:41.389 --> 00:03:44.310 -on sprint out there. ByteDance, they just launched 00:03:44.310 --> 00:03:47.430 SeedProver. That's a silver medal IMO math model. 00:03:47.669 --> 00:03:50.169 And the key difference. It's open source. The 00:03:50.169 --> 00:03:53.300 code is out there. Big deal. Meanwhile, OpenAI, 00:03:53.599 --> 00:03:55.560 they're expected to drop their own gold medal 00:03:55.560 --> 00:03:58.819 math AI pretty soon. But this time, Google got 00:03:58.819 --> 00:04:00.699 there first. They shipped. It's at the new bar. 00:04:00.900 --> 00:04:02.780 It is absolutely a sprint. Everyone wants that 00:04:02.780 --> 00:04:05.120 title, right? The smartest AI. The bragging rights 00:04:05.120 --> 00:04:07.960 are huge. But so are the risks. And it's not 00:04:07.960 --> 00:04:09.840 just math, is it? There's so much else happening. 00:04:10.099 --> 00:04:13.879 Google, DeepMind and Kaggle, they've launched 00:04:13.879 --> 00:04:16.319 this Kaggle game arena. Oh, yeah. What's that? 00:04:16.480 --> 00:04:19.939 It's basically where AI models, GPT, Claude, 00:04:20.019 --> 00:04:23.180 Gemini. Even Grok will compete against each other 00:04:23.180 --> 00:04:26.819 in strategy games. Kicks off August 5th. Huh. 00:04:26.920 --> 00:04:29.279 Like an AI Olympics for strategy. That's actually 00:04:29.279 --> 00:04:31.300 pretty cool. Yeah. A way to benchmark how they 00:04:31.300 --> 00:04:34.779 handle complex changing situations beyond just, 00:04:34.839 --> 00:04:37.740 you know, text. Pushing them in different ways. 00:04:37.980 --> 00:04:40.720 But, you know, it's not all just impressive demos 00:04:40.720 --> 00:04:43.920 and competitions. There's friction, too. Perplexity 00:04:43.920 --> 00:04:47.180 AI. Ah, the search engine thing. Right. They're 00:04:47.180 --> 00:04:49.889 being accused of some. Let's call it sneaky scraping. 00:04:50.050 --> 00:04:52.850 Making millions of requests daily, even from 00:04:52.850 --> 00:04:55.089 sites that specifically block bots like theirs. 00:04:55.310 --> 00:04:57.490 And Cloudflare called them out? Cloudflare delisted 00:04:57.490 --> 00:05:00.550 them. But Perplexity is apparently just refusing 00:05:00.550 --> 00:05:03.149 to accept that action. Sticking to their guns. 00:05:03.370 --> 00:05:05.610 Wow. Yeah, that's quite a stance, isn't it? It 00:05:05.610 --> 00:05:07.829 really highlights that tension. AI needs data. 00:05:08.089 --> 00:05:11.449 But what about website rules? Ethics .ip. Big 00:05:11.449 --> 00:05:13.790 questions there. And on the creative front, XAI. 00:05:14.009 --> 00:05:16.639 Oh yeah, Grok Imagine. Dropped officially. Turns 00:05:16.639 --> 00:05:19.399 simple text or even an image into a 15 second 00:05:19.399 --> 00:05:22.660 video. With audio. Just like that. Text to video. 00:05:22.779 --> 00:05:25.339 Pretty much. Imagine whipping up quick explainers 00:05:25.339 --> 00:05:29.040 or social clips. The speed of progress in generative 00:05:29.040 --> 00:05:32.680 AI is just wild. From words to a mini movie. 00:05:33.000 --> 00:05:35.500 And then there's the classic tech rivalry. Google 00:05:35.500 --> 00:05:38.980 took a direct shot at Apple. Oh! How so? With 00:05:38.980 --> 00:05:41.939 a Pixel 10 ad. Yeah. Basically mocking the fact 00:05:41.939 --> 00:05:45.740 that Apple's big Siri AI update is still, you 00:05:45.740 --> 00:05:48.639 know, coming soon. Ah, playing the we have it 00:05:48.639 --> 00:05:50.980 now card. Yep. The ad pretty much says, if Apple's 00:05:50.980 --> 00:05:52.399 still coming soon, maybe you should just change 00:05:52.399 --> 00:05:55.839 your phone. Ouch. Yeah. Classic competitive spirit. 00:05:55.980 --> 00:05:58.339 The gloves are definitely off. So, okay. We've 00:05:58.339 --> 00:06:01.000 got these super smart AIs, rapid progress, intense 00:06:01.000 --> 00:06:03.879 competition, internal safety flags, data scraping 00:06:03.879 --> 00:06:07.500 rows. When AI gets this smart this fast. What's 00:06:07.500 --> 00:06:10.160 the core challenge everyone's grappling with? 00:06:10.199 --> 00:06:12.399 It's balancing that incredibly fast innovation 00:06:12.399 --> 00:06:15.579 push with critical safety needs and figuring 00:06:15.579 --> 00:06:18.019 out the ethical lines as you go. Right. Let's 00:06:18.019 --> 00:06:20.459 maybe shift gears slightly to how AI is actually 00:06:20.459 --> 00:06:23.240 becoming more practical, more accessible day 00:06:23.240 --> 00:06:26.740 to day. They're known for quantum computing, 00:06:26.839 --> 00:06:28.740 right? They just launched an AI toolkit. It's 00:06:28.740 --> 00:06:31.040 already usable. Quantum AI, that's pretty cutting 00:06:31.040 --> 00:06:32.839 edge. Yeah, and they have a working demo already, 00:06:33.000 --> 00:06:35.980 generating images using quantum principles somehow. 00:06:36.220 --> 00:06:38.360 They're going to present it all at the AI Research 00:06:38.360 --> 00:06:41.439 Summit next year. Wow. Connecting quantum research 00:06:41.439 --> 00:06:44.160 to something tangible like image generation, 00:06:44.560 --> 00:06:47.800 that's a big step. Using quantum mechanics for 00:06:47.800 --> 00:06:51.660 faster AI calculations. Neat. And the money flowing 00:06:51.660 --> 00:06:55.290 in. It's huge. Observe Inc., for instance. They 00:06:55.290 --> 00:06:58.610 just raised $156 million. For what exactly? For 00:06:58.610 --> 00:07:00.990 their AI observability platform. Basically AI 00:07:00.990 --> 00:07:04.930 watching other AI systems. Ah, okay. Like quality 00:07:04.930 --> 00:07:07.889 control for AI? Sort of. Helps companies see 00:07:07.889 --> 00:07:10.209 how their AI is doing, fix problems. And get 00:07:10.209 --> 00:07:13.050 this, they're processing over 150 petabytes of 00:07:13.050 --> 00:07:16.829 data every month with help from OpenAI. 150 petabytes. 00:07:16.910 --> 00:07:19.220 That's just... astronomical, shows you the scale 00:07:19.220 --> 00:07:21.399 these systems operate at. And yeah, observability 00:07:21.399 --> 00:07:24.399 is crucial if you're deploying complex AI. You've 00:07:24.399 --> 00:07:25.779 got to know what it's doing. And it's not just 00:07:25.779 --> 00:07:27.800 big companies and huge investments. We're seeing 00:07:27.800 --> 00:07:30.500 guides pop up for building no -code AI. Meaning 00:07:30.500 --> 00:07:32.860 you don't have to be a programmer? Exactly. Like 00:07:32.860 --> 00:07:34.759 there's a guide on building a rack system. Using 00:07:34.759 --> 00:07:37.800 tools like NAN and Supabase, anyone can try it. 00:07:37.879 --> 00:07:40.019 Right. R -drying, retrieval augmented generation. 00:07:40.139 --> 00:07:43.519 That's a really useful technique. Explain that. 00:07:43.579 --> 00:07:46.319 It's basically where the AI doesn't just rely 00:07:46.319 --> 00:07:49.220 on its general training data. It combines that 00:07:49.220 --> 00:07:51.240 with specific documents you give it. So like 00:07:51.240 --> 00:07:53.220 you could ask it about your company's vacation 00:07:53.220 --> 00:07:56.459 policy and it pulls the answer directly from 00:07:56.459 --> 00:07:58.620 your actual policy document. Much better answers. 00:07:58.759 --> 00:08:01.500 Very practical. We're also seeing specific business 00:08:01.500 --> 00:08:05.279 strategies emerge like this value first AI lead 00:08:05.279 --> 00:08:08.279 strategy. Fiverr and Upwork are apparently using 00:08:08.279 --> 00:08:11.000 it. How does that work? Seems like using AI to 00:08:11.000 --> 00:08:12.699 find and connect with customers who already know 00:08:12.699 --> 00:08:14.899 exactly what service they need. High intent, 00:08:15.220 --> 00:08:18.879 kind of pre -sold leads. Smart. Using AI for 00:08:18.879 --> 00:08:20.480 better targeting. And if you're thinking about 00:08:20.480 --> 00:08:23.740 skills, there's even a guide out there. Seven 00:08:23.740 --> 00:08:27.459 AI skills to make you rich in 2025. Covers AI 00:08:27.459 --> 00:08:30.420 design, development strategy. It works. Yeah, 00:08:30.439 --> 00:08:32.909 the message there seems to be. Don't just learn 00:08:32.909 --> 00:08:35.929 about AI. Learn how to use AI to solve actual 00:08:35.929 --> 00:08:38.289 business problems. That's where the value and 00:08:38.289 --> 00:08:40.730 the money is. Think of AI as your super -powered 00:08:40.730 --> 00:08:43.610 assistant. And the tools themselves. They're 00:08:43.610 --> 00:08:45.850 getting so specific and powerful. SciSpace AI 00:08:45.850 --> 00:08:49.450 automates research tasks for academics, like 00:08:49.450 --> 00:08:52.809 150 different tools. Wow. Furbyte helps writers 00:08:52.809 --> 00:08:55.809 get publish -ready content faster. Tregno builds 00:08:55.809 --> 00:08:59.190 entire SEO strategies. Gulpo creates AI videos 00:08:59.190 --> 00:09:01.799 like explainers. It's amazing how specialized 00:09:01.799 --> 00:09:04.080 they're becoming, each one tackling a really 00:09:04.080 --> 00:09:06.679 specific pain point, automating stuff that used 00:09:06.679 --> 00:09:09.080 to take humans ages. Right. It means you can 00:09:09.080 --> 00:09:11.580 potentially do more, faster, maybe even better 00:09:11.580 --> 00:09:13.639 quality in some cases. Absolutely. More leverage. 00:09:13.860 --> 00:09:16.100 So looking at all this practical stuff, the tools, 00:09:16.200 --> 00:09:17.759 the investment, the no -code movement, what's 00:09:17.759 --> 00:09:20.679 the big takeaway? How is AI evolving for... you 00:09:20.679 --> 00:09:22.539 know, us regular users or businesses. I'd say 00:09:22.539 --> 00:09:24.460 AI is becoming way more specialized, definitely 00:09:24.460 --> 00:09:26.759 more accessible, and it's getting woven really 00:09:26.759 --> 00:09:29.360 deep into workflows everywhere. Okay. Now for 00:09:29.360 --> 00:09:31.679 the topic that probably touches everyone listening, 00:09:31.860 --> 00:09:34.919 jobs. The big one. We looked at these charts, 00:09:35.080 --> 00:09:38.419 fastest shrinking jobs versus safest jobs from 00:09:38.419 --> 00:09:45.470 AI 2025, 2030. And honestly. The picture is pretty 00:09:45.470 --> 00:09:48.029 stark. Yeah, it's clear. If your job is mostly 00:09:48.029 --> 00:09:51.129 repetitive tasks, administrative stuff, it's 00:09:51.129 --> 00:09:53.409 at risk. High risk. But if it involves a lot 00:09:53.409 --> 00:09:55.870 of human interaction, complex problem solving 00:09:55.870 --> 00:09:59.330 in the real world, emotional intelligence, it 00:09:59.330 --> 00:10:02.309 seems much safer. For now, at least. Definitely. 00:10:02.309 --> 00:10:04.629 Anything clerical, just moving data around, stuff 00:10:04.629 --> 00:10:07.210 tied to old systems that's being automated fast. 00:10:07.929 --> 00:10:10.389 Bots, self -checkouts, predictive software, they're 00:10:10.389 --> 00:10:12.450 taking over those roles. It's a fundamental shift. 00:10:12.590 --> 00:10:14.169 But like you said, it's not all doom and gloom. 00:10:14.169 --> 00:10:16.070 Not every job is on the chopping block. No, thankfully 00:10:16.070 --> 00:10:18.190 not. Jobs needing real -time judgment, empathy, 00:10:18.370 --> 00:10:20.990 creativity, fixing physical things. Think therapists, 00:10:21.250 --> 00:10:23.389 electricians, artists, good manager. They're 00:10:23.389 --> 00:10:25.490 still very much needed. Right. Those uniquely 00:10:25.490 --> 00:10:29.200 human skills. But, and it's a big but. Don't 00:10:29.200 --> 00:10:31.000 get too comfortable thinking AI can't handle 00:10:31.000 --> 00:10:33.759 complexity. Remember the McDonald's AI drive 00:10:33.759 --> 00:10:36.039 -thru fail? Kept adding bacon to everything. 00:10:36.360 --> 00:10:39.259 Slightly amused. I do remember that. Hilarious. 00:10:39.259 --> 00:10:42.879 Or, less hilariously, Amazon's Just Walk Out 00:10:42.879 --> 00:10:46.419 tech, the cashierless stores. Turns out, behind 00:10:46.419 --> 00:10:48.779 the scenes, there were reportedly like a thousand 00:10:48.779 --> 00:10:50.980 people in India watching feeds to make sure the 00:10:50.980 --> 00:10:53.500 charges were right. So a lot of the shiny AI 00:10:53.500 --> 00:10:56.759 automation we see still have a whole lot of humans 00:10:56.759 --> 00:10:58.600 behind the curtain, kind of like the Wizard of 00:10:58.600 --> 00:11:01.019 Oz. Pretty much. It's not always as automated 00:11:01.019 --> 00:11:04.519 as it looks. It reminds me, you know, I still 00:11:04.519 --> 00:11:06.539 wrestle sometimes with prompt drift myself. Yeah. 00:11:06.620 --> 00:11:09.039 When you're having a long chat with an AI and 00:11:09.039 --> 00:11:11.179 it kind of forgets the original point or instruction. 00:11:11.480 --> 00:11:15.549 Oh, yeah. It makes me wonder how these more complex 00:11:15.549 --> 00:11:18.610 jobs, the ones needing sustained focus and context, 00:11:18.889 --> 00:11:21.750 how they'll really evolve as AI gets better, 00:11:21.850 --> 00:11:24.870 but maybe still imperfect for everyone. Yeah, 00:11:24.909 --> 00:11:27.230 it's basically sorting jobs into two piles, isn't 00:11:27.230 --> 00:11:29.289 it? The easy to automate pile and the hard to 00:11:29.289 --> 00:11:31.110 automate pile. And you definitely want to be 00:11:31.110 --> 00:11:33.730 in the second pile. Absolutely. Which means doubling 00:11:33.730 --> 00:11:36.850 down on those human skills. Creativity, critical 00:11:36.850 --> 00:11:41.330 thinking, collaboration, empathy, adapting is 00:11:41.330 --> 00:11:44.360 key. And doing it quickly. So bottom line for 00:11:44.360 --> 00:11:47.000 people listening, how should we really think 00:11:47.000 --> 00:11:50.860 about our careers, our skills in this this AI 00:11:50.860 --> 00:11:53.580 driven world that's changing so fast? Foken hard 00:11:53.580 --> 00:11:56.799 on those uniquely human, non -repetitive skills 00:11:56.799 --> 00:11:59.840 and be ready, really ready to adapt and learn 00:11:59.840 --> 00:12:02.580 how to work with these new AI tools. Sponsor. 00:12:02.600 --> 00:12:05.639 OK, that was a lot. So let's try to pull the 00:12:05.639 --> 00:12:07.080 big threads together. What does all this really 00:12:07.080 --> 00:12:10.200 mean? We've seen AI pushing boundaries like crazy. 00:12:10.519 --> 00:12:12.700 Google's DeepThink is a prime example, incredible 00:12:12.700 --> 00:12:16.580 power, Olympiad level smarts, but also these 00:12:16.580 --> 00:12:18.580 serious safety questions popping up internally. 00:12:18.759 --> 00:12:21.799 Yeah. And the race to build the next big AI model. 00:12:21.840 --> 00:12:24.080 It's incredibly intense, super dynamic, super 00:12:24.080 --> 00:12:26.299 competitive. New stuff is landing constantly, 00:12:26.399 --> 00:12:28.460 almost redefining state of the art week by week. 00:12:28.809 --> 00:12:31.370 We also saw how AI isn't just lab experiments 00:12:31.370 --> 00:12:33.169 anymore. It's becoming really practical, specialized. 00:12:33.350 --> 00:12:36.049 New tools, new strategies are changing how businesses 00:12:36.049 --> 00:12:38.809 work, how individuals create and research. More 00:12:38.809 --> 00:12:41.889 accessible, more integrated. And crucially, all 00:12:41.889 --> 00:12:44.370 of this is shaking up the job market big time. 00:12:44.490 --> 00:12:47.269 It's speeding up that shift away from repetitive 00:12:47.269 --> 00:12:50.250 tasks towards roles that really need those human 00:12:50.250 --> 00:12:53.809 skills, the ones AI can't easily replicate yet. 00:12:54.379 --> 00:12:57.539 So this whole deep dive today really shows technology 00:12:57.539 --> 00:13:00.580 is moving at lightning speed. But it's forcing 00:13:00.580 --> 00:13:03.360 us, all of us, to wrestle with some really complex 00:13:03.360 --> 00:13:06.659 ethical questions, rethink data, privacy, and 00:13:06.659 --> 00:13:08.919 fundamentally rethink our relationship with work 00:13:08.919 --> 00:13:11.129 itself. So turning it over to you listening, 00:13:11.269 --> 00:13:13.710 what stood out most to you from all this? How 00:13:13.710 --> 00:13:16.669 do you see these AI shifts impacting your world, 00:13:16.769 --> 00:13:18.649 your job, even just, you know, your day to day 00:13:18.649 --> 00:13:20.190 life? Yeah, we really encourage you to maybe 00:13:20.190 --> 00:13:22.190 dig a bit deeper into some of these areas because 00:13:22.190 --> 00:13:24.909 the pace of change is, well, it's kind of astonishing. 00:13:25.129 --> 00:13:27.309 It really is. Thank you for joining us for this 00:13:27.309 --> 00:13:28.970 deep dive. Until next time, keep digging into 00:13:28.970 --> 00:13:31.029 what's truly interesting. Otiro Music.