WEBVTT 00:00:00.000 --> 00:00:02.819 Okay, so there's some pretty striking research 00:00:02.819 --> 00:00:05.500 coming out of MIT recently. It really makes you 00:00:05.500 --> 00:00:07.799 stop and think about how we're using AI. Yeah, 00:00:07.900 --> 00:00:10.220 it's landed with quite a thud, hasn't it? The 00:00:10.220 --> 00:00:14.460 headline finding is, well, it suggests most people 00:00:14.460 --> 00:00:17.239 just passively asking AI for answers. Yeah. They're 00:00:17.239 --> 00:00:19.800 actually making themselves measurably less sharp. 00:00:20.120 --> 00:00:22.260 Less sharp is putting it mildly. The sources 00:00:22.260 --> 00:00:25.440 mentioned something like a 17 % drop in performance 00:00:25.440 --> 00:00:28.019 on certain tests. Things like critical thinking, 00:00:28.339 --> 00:00:31.760 remembering stuff. Exactly. A 17 % decline. It 00:00:31.760 --> 00:00:33.280 sounds pretty alarming when you first hear it. 00:00:33.359 --> 00:00:36.759 It really does. But the flip side, which is maybe 00:00:36.759 --> 00:00:38.560 the more exciting part, is that the same research 00:00:38.560 --> 00:00:40.820 showed something else. If you use AI intentionally. 00:00:41.820 --> 00:00:44.140 like really engage with it. Like a thinking partner, 00:00:44.219 --> 00:00:46.579 not just an answer machine. Precisely. Then it 00:00:46.579 --> 00:00:48.979 can actually double your learning speed and boost 00:00:48.979 --> 00:00:50.960 your creative performance too. And that's really 00:00:50.960 --> 00:00:52.759 what we want to dive into today. We've been digging 00:00:52.759 --> 00:00:54.960 through the source material and it outlines these 00:00:54.960 --> 00:00:59.700 three really practical workflows, ways to turn 00:00:59.700 --> 00:01:02.799 AI from that cognitive crutch. Into more of an 00:01:02.799 --> 00:01:05.620 intellectual amplifier. Yeah. We'll be looking 00:01:05.620 --> 00:01:08.620 at specific tools mentioned like Notebook LM 00:01:08.620 --> 00:01:13.760 and Gemini 2 .5. That's the plan. Yeah. We're 00:01:13.760 --> 00:01:15.700 going to map out how you can consciously build 00:01:15.700 --> 00:01:18.459 what the sources are calling an AI augmented 00:01:18.459 --> 00:01:22.480 mind. So three core ideas we'll unpack. First, 00:01:22.620 --> 00:01:25.260 designing a really structured mental workout. 00:01:25.459 --> 00:01:27.680 Second, how you can build your own kind of polymath 00:01:27.680 --> 00:01:30.180 portfolio for learning. And third, creating active 00:01:30.180 --> 00:01:32.819 memory systems. So the stuff you learn actually 00:01:32.819 --> 00:01:35.799 sticks permanently. Okay, let's start with that 00:01:35.799 --> 00:01:38.599 first bit, the cognitive crisis. Why the drop 00:01:38.599 --> 00:01:41.859 off? The sources really flag this trend of, well, 00:01:41.980 --> 00:01:44.959 intellectual dependency from just passively using 00:01:44.959 --> 00:01:47.060 AI. It's what they're calling cognitive outsourcing, 00:01:47.120 --> 00:01:49.239 right? You just you let the AI do the thinking, 00:01:49.359 --> 00:01:51.260 give you the answer ready, mate. And you bypass 00:01:51.260 --> 00:01:53.280 all the mental heavy lifting you need to do to 00:01:53.280 --> 00:01:55.120 actually solve the problem yourself. The scary 00:01:55.120 --> 00:01:57.859 part is the physical impact. Neural pathway degradation. 00:01:58.120 --> 00:02:01.159 That sounds serious. It is. I mean, if you stop 00:02:01.159 --> 00:02:03.280 using those brain circuits for complex thought, 00:02:03.379 --> 00:02:05.180 they literally get weaker, like a muscle you 00:02:05.180 --> 00:02:07.980 don't exercise. So your mental flexibility tanks. 00:02:08.300 --> 00:02:11.219 Your ability to handle new unexpected problems 00:02:11.219 --> 00:02:14.439 just diminishes. Yeah, and your memory formation 00:02:14.439 --> 00:02:16.280 takes a hit too because you weren't wrestling 00:02:16.280 --> 00:02:18.240 with the information in the first place. You 00:02:18.240 --> 00:02:20.199 just passively received it. It's not just about 00:02:20.199 --> 00:02:22.259 forgetting things. It's about losing the ability 00:02:22.259 --> 00:02:25.319 to process new things effectively. Which brings 00:02:25.319 --> 00:02:29.259 us to the solution. Shifting to active engagement. 00:02:30.050 --> 00:02:32.550 Using AI deliberately to challenge yourself, 00:02:32.830 --> 00:02:35.689 test your understanding, and actually strengthen 00:02:35.689 --> 00:02:38.569 those cognitive skills. The goal set by the research 00:02:38.569 --> 00:02:41.889 is pretty ambitious, outperforming 91 % of people 00:02:41.889 --> 00:02:44.610 in creativity tests. That's the benchmark. It 00:02:44.610 --> 00:02:46.650 shows what's possible with the right approach. 00:02:47.080 --> 00:02:49.240 Active challenge versus passive consumption. 00:02:49.500 --> 00:02:52.259 That's the core difference. Okay, so if AI can 00:02:52.259 --> 00:02:54.400 just give us the answers, what's the single biggest 00:02:54.400 --> 00:02:57.120 danger if we completely outsource our thinking 00:02:57.120 --> 00:02:59.259 like that? You weaken your brain's built -in 00:02:59.259 --> 00:03:01.800 ability to spot patterns and tackle totally new 00:03:01.800 --> 00:03:03.819 problems. Right, losing that fundamental pattern 00:03:03.819 --> 00:03:06.520 recognition. Okay, so how do we fight back? That 00:03:06.520 --> 00:03:09.360 takes us to workflow one, the mental workout. 00:03:09.599 --> 00:03:11.800 Exactly. The brain's like a muscle, needs a proper 00:03:11.800 --> 00:03:15.919 workout. This workflow uses Gemini 2 .5 to basically 00:03:15.919 --> 00:03:19.000 design a personalized mental gem for you. A gem? 00:03:19.199 --> 00:03:21.219 What's that exactly? So according to the sources, 00:03:21.379 --> 00:03:24.560 a gem is just a custom set of instructions you 00:03:24.560 --> 00:03:27.379 lock into the AI. Think of it like pre -programming 00:03:27.379 --> 00:03:30.759 it for a specific task. Ah, okay. So you create 00:03:30.759 --> 00:03:34.180 this gem to run a repeatable, focused, cognitive 00:03:34.180 --> 00:03:37.039 training session tailored just for you. You got 00:03:37.039 --> 00:03:39.199 it. Like a digital personal trainer for your 00:03:39.199 --> 00:03:41.629 mind. And it's not just general knowledge quizzes, 00:03:41.770 --> 00:03:44.530 is it? It targets specific areas. Six key areas, 00:03:44.669 --> 00:03:47.069 actually. Memory systems, creative processing, 00:03:47.370 --> 00:03:50.250 logical reasoning, pattern recognition, verbal 00:03:50.250 --> 00:03:53.509 fluency, and mental flexibility. You need to 00:03:53.509 --> 00:03:56.270 train across the board. For that kind of anti 00:03:56.270 --> 00:03:57.949 -fragile intelligence they talk about, makes 00:03:57.949 --> 00:04:00.250 sense. So how do you set it up? It starts with 00:04:00.250 --> 00:04:02.289 crafting what they call a master prompt. Really 00:04:02.289 --> 00:04:04.610 detailed instructions defining all the activities 00:04:04.610 --> 00:04:06.490 for your workout. And then you plug that into 00:04:06.490 --> 00:04:09.289 Gemini's custom feature, lock it in as your mental... 00:04:09.319 --> 00:04:12.060 workout, Jim. Yep. And critically, it's systematic. 00:04:12.439 --> 00:04:15.240 The sources suggest a rotational schedule. Day 00:04:15.240 --> 00:04:18.180 one, you focus on memory skills. Day two, maybe 00:04:18.180 --> 00:04:21.860 creativity. Day three, logic, and so on. Structure 00:04:21.860 --> 00:04:24.660 is key. Warm up, core training, cool down for 00:04:24.660 --> 00:04:26.819 reflection. Right. And here's where it gets kind 00:04:26.819 --> 00:04:30.069 of neat for pushing yourself. Adding an intensity 00:04:30.069 --> 00:04:32.629 scaling system. Intensity scaling. So you tell 00:04:32.629 --> 00:04:34.930 the AI how hard to make it. Yeah, like a difficulty 00:04:34.930 --> 00:04:37.930 level from 1 to 10. Level 10 might mean super 00:04:37.930 --> 00:04:40.250 complex problems with really tight time limits. 00:04:40.370 --> 00:04:43.189 No hand holding. And then there's level 11, ultra 00:04:43.189 --> 00:04:46.389 extreme. Ultra extreme, maximum difficulty, maybe 00:04:46.389 --> 00:04:49.170 surprise constraints thrown in, forcing you to 00:04:49.170 --> 00:04:51.990 blend different skills on the fly. Wow, that 00:04:51.990 --> 00:04:55.069 sounds intense. It is. And honestly, getting 00:04:55.069 --> 00:04:57.189 those constraints right in the prompt can be 00:04:57.189 --> 00:04:59.480 tricky. I still wrestle with prompt drift myself 00:04:59.480 --> 00:05:01.620 sometimes, you know, making sure the AI actually 00:05:01.620 --> 00:05:04.279 sticks to the hard rules you set. Ah, the vulnerable 00:05:04.279 --> 00:05:06.740 admission. Yeah, defining those boundaries precisely. 00:05:06.920 --> 00:05:09.319 It's a skill in itself. It really is. But that 00:05:09.319 --> 00:05:12.060 constant push preventing stagnation, that's the 00:05:12.060 --> 00:05:14.300 whole point of the scaling. Okay, so beyond just 00:05:14.300 --> 00:05:16.800 having the custom instructions, how does adding 00:05:16.800 --> 00:05:19.920 that intensity scaling system really boost cognitive 00:05:19.920 --> 00:05:23.139 growth? It forces you to constantly adapt and 00:05:23.139 --> 00:05:25.439 make sure the exercises stay hard enough to actually 00:05:25.439 --> 00:05:27.500 strengthen your mind. Pro prevents plateauing. 00:05:27.500 --> 00:05:30.439 Keeps the challenge real. Got it. Let's shift 00:05:30.439 --> 00:05:34.079 gears then. Workflow 2. Creating a polymath portfolio. 00:05:34.779 --> 00:05:36.379 Yeah, this one's really cool. Inspired by people 00:05:36.379 --> 00:05:39.319 like, you know, Leonardo da Vinci. His genius 00:05:39.319 --> 00:05:41.680 wasn't just in one field. It was connecting ideas 00:05:41.680 --> 00:05:44.639 across different fields. Art, anatomy, engineering. 00:05:45.040 --> 00:05:47.540 Seeing links others missed. So how do we do that 00:05:47.540 --> 00:05:50.360 today? Minus the Renaissance genius part. Well... 00:05:50.519 --> 00:05:53.259 The sources lay out a modern framework. Distribute 00:05:53.259 --> 00:05:55.740 your learning. 60 % in your main field, your 00:05:55.740 --> 00:05:59.180 primary domain. Okay. 60 % focus. Then 30 % in 00:05:59.180 --> 00:06:01.160 adjacent areas. Things that naturally complement 00:06:01.160 --> 00:06:03.560 your main expertise. Right. So if my main thing 00:06:03.560 --> 00:06:06.839 is a visual art, adjacent might be photography 00:06:06.839 --> 00:06:09.920 or graphic design. Stuff that fits closely. Exactly. 00:06:09.959 --> 00:06:12.699 But the really interesting part is the last 10%. 00:06:12.699 --> 00:06:15.660 The wildcards. Wildcards. So completely unrelated 00:06:15.660 --> 00:06:18.360 stuff. Totally unrelated. For that visual artist 00:06:18.360 --> 00:06:22.579 example, maybe. Mycology. Studying fungi. Or 00:06:22.579 --> 00:06:25.100 the neuroscience of how we perceive visuals. 00:06:25.600 --> 00:06:28.980 Mycology. Okay, that is a wild card. Why deliberately 00:06:28.980 --> 00:06:31.620 learn things that seem irrelevant? Because that's 00:06:31.620 --> 00:06:34.339 often where the biggest breakthroughs hide. Those 00:06:34.339 --> 00:06:36.819 seemingly unrelated fields offer completely fresh 00:06:36.819 --> 00:06:40.779 perspectives. They spark connections. Your competitors, 00:06:41.000 --> 00:06:43.699 stuck in their own silos, will never see. And 00:06:43.699 --> 00:06:46.740 Notebook LM comes in here as the tool to manage 00:06:46.740 --> 00:06:48.819 this? Precisely. It acts like your research assistant. 00:06:49.199 --> 00:06:51.399 You feed it all your diverse source materials, 00:06:51.660 --> 00:06:54.680 articles, notes, PDFs from your primary, adjacent, 00:06:54.819 --> 00:06:56.939 and wildcard areas. And then it helps you connect 00:06:56.939 --> 00:06:59.259 the dots. Yeah. You can use its features to find 00:06:59.259 --> 00:07:01.459 those links. The source material mentions using 00:07:01.459 --> 00:07:03.720 its discover feature or prompting it with something 00:07:03.720 --> 00:07:06.019 specific like identify surprising connection 00:07:06.019 --> 00:07:08.079 points between these fields. That's powerful. 00:07:08.139 --> 00:07:10.240 Finding hidden links across different domains 00:07:10.240 --> 00:07:13.879 automatically. Whoa. Imagine scaling that. Cross 00:07:13.879 --> 00:07:16.500 -referencing like a billion queries worth of 00:07:16.500 --> 00:07:19.160 research almost instantly. That's... mind -bending. 00:07:19.300 --> 00:07:21.620 It really accelerates that polymath potential, 00:07:21.860 --> 00:07:24.100 doesn't it? Making those complex links visible, 00:07:24.240 --> 00:07:26.279 maybe even mapping them out. Okay, so that 10 00:07:26.279 --> 00:07:29.300 % wildcard allocation, why is that often where 00:07:29.300 --> 00:07:31.680 the most groundbreaking ideas come from? Because 00:07:31.680 --> 00:07:33.800 those unrelated fields give you the most novel 00:07:33.800 --> 00:07:36.759 angles, sparking truly unique, unexpected insights. 00:07:37.199 --> 00:07:39.980 Makes sense. Novel perspectives drive innovation. 00:07:41.040 --> 00:07:44.060 Okay, let's take a quick break. Sponsor. And 00:07:44.060 --> 00:07:46.100 we're back. Before the break, we were talking 00:07:46.100 --> 00:07:48.199 about how that 10 % wildcard learning can spark 00:07:48.199 --> 00:07:51.399 major breakthroughs. But finding insights is 00:07:51.399 --> 00:07:53.500 one thing. Making them stick is another. Right. 00:07:53.620 --> 00:07:55.819 Which brings us squarely into workflow three, 00:07:56.019 --> 00:07:59.519 active memory systems. We all know that feeling 00:07:59.519 --> 00:08:02.040 you read something interesting and poof, it's 00:08:02.040 --> 00:08:05.220 gone by tomorrow. The memory trap. Passive consumption 00:08:05.220 --> 00:08:08.920 equals poor retention. Classic problem. Information 00:08:08.920 --> 00:08:11.459 in one ear, out the other. So the fix, according 00:08:11.459 --> 00:08:14.000 to the sources, generating active learning materials, 00:08:14.240 --> 00:08:17.560 using AI again, maybe Notebook LM, to help. Exactly. 00:08:17.879 --> 00:08:20.759 Instead of just reading or highlighting, you 00:08:20.759 --> 00:08:23.279 get the AI to create things for you that force 00:08:23.279 --> 00:08:26.360 you to engage. Think flashcards, but more advanced. 00:08:26.600 --> 00:08:30.300 Or tricky quiz questions. Or even complex case 00:08:30.300 --> 00:08:32.340 studies that make you pull together ideas from 00:08:32.340 --> 00:08:34.480 those different domains you're studying. Integrating 00:08:34.480 --> 00:08:37.000 concepts, not just recalling facts. And then 00:08:37.000 --> 00:08:40.620 you use something like Anki. Yes. Anki is fantastic 00:08:40.620 --> 00:08:44.860 for this. It's free, powerful software based 00:08:44.860 --> 00:08:47.559 on spaced repetition. Spaced repetition. That's 00:08:47.559 --> 00:08:49.259 the thing where it shows you information right 00:08:49.259 --> 00:08:51.179 before you'd normally forget it. That's the one. 00:08:51.320 --> 00:08:54.200 It dramatically increases how long you remember 00:08:54.200 --> 00:08:57.059 things. It's like fundamental for locking knowledge 00:08:57.059 --> 00:08:59.299 in permanently. So you take the flashcards or 00:08:59.299 --> 00:09:01.580 quizzes the AI generated. And you import them 00:09:01.580 --> 00:09:04.919 directly into custom decks in Anki. The AI handles 00:09:04.919 --> 00:09:07.129 the boring part. creating the studying materials 00:09:07.129 --> 00:09:09.070 so you can focus on the active recall. Nice. 00:09:09.289 --> 00:09:11.509 Automating the grunt work. The sources also mention 00:09:11.509 --> 00:09:14.049 for the more technical folks potentially automating 00:09:14.049 --> 00:09:16.769 a whole thing. Yeah, briefly. Using AI coding 00:09:16.769 --> 00:09:19.870 assistants like Cloud Code or similar tools to 00:09:19.870 --> 00:09:22.590 maybe process your notebook LM notes, format 00:09:22.590 --> 00:09:25.009 everything perfectly for Anki, and even handle 00:09:25.009 --> 00:09:27.889 the import via an API. Okay, that's definitely 00:09:27.889 --> 00:09:31.210 next level. But the core principle is accessible, 00:09:31.470 --> 00:09:35.019 right? Turn passive sources into active challenges. 00:09:35.179 --> 00:09:37.570 Absolutely. That's the key takeaway. So when 00:09:37.570 --> 00:09:39.769 we're aiming for that permanent knowledge, why 00:09:39.769 --> 00:09:42.590 is actually generating these quizzes or case 00:09:42.590 --> 00:09:45.350 studies yourself or having the AI do it for you 00:09:45.350 --> 00:09:48.110 to use so crucial? Because it forces your brain 00:09:48.110 --> 00:09:50.750 to actively engage and process the material, 00:09:50.970 --> 00:09:53.009 not just skim over it passively. It makes you 00:09:53.009 --> 00:09:56.029 wrestle with it. Okay. So we've got the workout, 00:09:56.230 --> 00:09:58.330 the synthesis across fields, the memory system. 00:09:58.450 --> 00:10:00.590 How do you manage all this? The sources mentioned 00:10:00.590 --> 00:10:04.029 a framework. Yeah. Code EA. It stands for Capture, 00:10:04.029 --> 00:10:06.470 Organize, Distill, Express. It's a way to... 00:10:06.509 --> 00:10:08.669 Structure your second brain, basically. Maybe 00:10:08.669 --> 00:10:11.570 using a tool -like notion to house it all. Capture, 00:10:11.590 --> 00:10:13.830 organize, distill, express. And the most critical 00:10:13.830 --> 00:10:17.470 step they highlighted was... Distill. That's 00:10:17.470 --> 00:10:19.909 where you really transform raw notes into usable 00:10:19.909 --> 00:10:22.610 knowledge. Finding those cross -references between 00:10:22.610 --> 00:10:25.750 your polymath readings, spotting patterns, making 00:10:25.750 --> 00:10:28.190 sense of it all. Synthesizing everything. Got 00:10:28.190 --> 00:10:31.049 it. And for really pushing the cognitive training 00:10:31.049 --> 00:10:33.330 further, there were some advanced techniques 00:10:33.330 --> 00:10:36.129 mentioned, too, like reverse prompting. Oh, this 00:10:36.129 --> 00:10:38.990 one's fascinating. You essentially program the 00:10:38.990 --> 00:10:41.909 AI, maybe using custom instructions in Gemini 00:10:41.909 --> 00:10:43.809 again, so it only asks you questions. The AI 00:10:43.809 --> 00:10:46.950 asks me questions. Yep. It acts like a Socratic 00:10:46.950 --> 00:10:49.830 guide. It won't give you answers. You have to 00:10:49.830 --> 00:10:52.110 provide the answers, defend your reasoning, justify 00:10:52.110 --> 00:10:55.009 your claims. It forces you to do the heavy cognitive 00:10:55.009 --> 00:10:57.649 lifting. Whoa. Okay. I like that. Flipping the 00:10:57.649 --> 00:10:59.730 script. And constraint mode training. Another 00:10:59.730 --> 00:11:02.070 good one. You impose artificial limits to force 00:11:02.070 --> 00:11:04.350 creative thinking. Ask the AI to make you explain 00:11:04.350 --> 00:11:06.690 something complex, but explain quantum physics 00:11:06.690 --> 00:11:10.309 in exactly 55 seconds. Or explain the CODA framework 00:11:10.309 --> 00:11:14.110 using only baking metaphors. Exactly. Those constraints 00:11:14.110 --> 00:11:16.370 force your brain to find totally new ways to 00:11:16.370 --> 00:11:18.889 connect ideas, build new pathways. It's like 00:11:18.889 --> 00:11:21.870 turning the AI into your personal Socrates, constantly 00:11:21.870 --> 00:11:24.129 poking at your assumptions, demanding evidence, 00:11:24.370 --> 00:11:26.610 looking for contradictions. Keeps you sharp. 00:11:26.960 --> 00:11:30.279 keeps the learning dynamic not static. OK, looking 00:11:30.279 --> 00:11:32.559 at all these advanced methods, reverse prompting, 00:11:32.559 --> 00:11:35.519 constraint mode, the Socratic approach, what's 00:11:35.519 --> 00:11:39.039 the ultimate benefit of making the AI ask us 00:11:39.039 --> 00:11:41.279 the questions instead of the other way around? 00:11:41.480 --> 00:11:43.960 It shifts the cognitive load squarely back onto 00:11:43.960 --> 00:11:46.399 your shoulders. It strengthens your ability to 00:11:46.399 --> 00:11:48.399 reason, to think critically and independently. 00:11:48.720 --> 00:11:50.580 OK, let's pull this all together. The big idea. 00:11:50.759 --> 00:11:53.500 We've basically outlined three core workflows 00:11:53.500 --> 00:11:56.980 to shift from being a passive AI user to an active 00:11:56.980 --> 00:11:59.919 partner. Right. One. That structured mental workout 00:11:59.919 --> 00:12:02.759 with Gemini 2 .5, training specific cognitive 00:12:02.759 --> 00:12:05.539 skills. Two, building the polymath portfolio 00:12:05.539 --> 00:12:08.320 with Notebook LM, seeking those breakthroughs 00:12:08.320 --> 00:12:11.320 in the 10 % wildcard zone. And three, creating 00:12:11.320 --> 00:12:14.179 active memory systems using AI -generated materials 00:12:14.179 --> 00:12:16.580 with Anki for knowledge that actually lasts. 00:12:16.940 --> 00:12:20.009 And the MIT data frames the choice. Pretty starkly, 00:12:20.009 --> 00:12:22.230 doesn't it? Either risk that cognitive decline 00:12:22.230 --> 00:12:24.889 through passive use. Or actively partner with 00:12:24.889 --> 00:12:27.049 AI to potentially double your learning speed 00:12:27.049 --> 00:12:29.669 and creative power. Join that more elite group. 00:12:29.889 --> 00:12:32.269 This active approach builds what the sources 00:12:32.269 --> 00:12:35.389 called anti -fragile intelligence, meaning your 00:12:35.389 --> 00:12:37.929 cognitive abilities actually get stronger when 00:12:37.929 --> 00:12:40.330 you face stress or new challenges. Yeah, more 00:12:40.330 --> 00:12:42.429 adaptable, more resilient. And these workflows 00:12:42.429 --> 00:12:44.830 really target those high -value human skills. 00:12:46.120 --> 00:12:49.100 AI struggles with, like deep creative synthesis, 00:12:49.480 --> 00:12:52.759 nuanced ethical reasoning, complex strategic 00:12:52.759 --> 00:12:55.559 thinking. Skills that matter. So for listeners 00:12:55.559 --> 00:12:57.799 wanting to start, the source materials apparently 00:12:57.799 --> 00:13:01.139 have a 30 -day transformation roadmap. They do. 00:13:01.240 --> 00:13:03.850 The suggestion is basically... Set up your first 00:13:03.850 --> 00:13:06.710 Gemini workout gem and your basic Cody structure, 00:13:06.970 --> 00:13:09.490 maybe in Notion this week. Then start integrating 00:13:09.490 --> 00:13:11.730 Anki and maybe experiment with those advanced 00:13:11.730 --> 00:13:13.509 prompting techniques in the following weeks. 00:13:13.610 --> 00:13:15.149 And the final piece of advice, which I think 00:13:15.149 --> 00:13:17.169 is crucial. You can't improve what you don't 00:13:17.169 --> 00:13:19.190 measure. Right. Start tracking some key metrics. 00:13:19.919 --> 00:13:22.419 Things like, how fast are you actually learning 00:13:22.419 --> 00:13:24.879 new concepts? How many novel creative connections 00:13:24.879 --> 00:13:27.200 are you making per week? Tracking that stuff 00:13:27.200 --> 00:13:31.279 shows if you're genuinely moving beyond that 00:13:31.279 --> 00:13:34.100 potential 17 % decline and into growth territory. 00:13:34.460 --> 00:13:36.279 It's about intentionality. Your transformation 00:13:36.279 --> 00:13:38.820 starts when you decide to actively engage. Couldn't 00:13:38.820 --> 00:13:40.779 have said it better myself. Out to your own music.