WEBVTT 00:00:00.000 --> 00:00:03.240 All right, so have you heard about this computer 00:00:03.240 --> 00:00:07.360 powered by real human brain cells? Oh yeah, this 00:00:07.360 --> 00:00:10.779 is wild stuff. It sounds like science fiction, 00:00:10.880 --> 00:00:12.859 right? It really does. But we've been going through 00:00:12.859 --> 00:00:15.599 all this material. This is actually real. This 00:00:15.599 --> 00:00:19.399 is not a movie. And this Australian company, 00:00:19.579 --> 00:00:22.059 Cortical Labs, they just launched this thing 00:00:22.059 --> 00:00:24.879 called the CL1. I've been following them for 00:00:24.879 --> 00:00:28.140 a while. Yeah, and the crazy thing is it combines 00:00:28.140 --> 00:00:31.910 like Living human brain cells with like silicon 00:00:31.910 --> 00:00:35.189 hardware right to make a new kind of AI. It's 00:00:35.189 --> 00:00:38.490 really a fundamental shift I think yeah You know 00:00:38.490 --> 00:00:41.829 moving beyond just the the silicon based AI that 00:00:41.829 --> 00:00:44.490 we're used to right into this whole other realm 00:00:44.490 --> 00:00:46.369 of what they're calling synthetic biological 00:00:46.369 --> 00:00:48.850 intelligence, right? So the co1 it's not just 00:00:48.850 --> 00:00:51.549 another you know, complex algorithm or something 00:00:51.549 --> 00:00:54.210 like that. It's like it's actually using the 00:00:54.210 --> 00:00:57.549 learning capabilities of neurons, like, you know, 00:00:57.549 --> 00:00:59.649 real biological, real biological material. Yeah. 00:00:59.750 --> 00:01:02.500 And then the advantages are like. almost unbelievable. 00:01:02.840 --> 00:01:06.019 It's like more flexible, learns way faster, uses 00:01:06.019 --> 00:01:08.540 a lot less energy, and it's potentially way more 00:01:08.540 --> 00:01:10.260 efficient. Much more efficient, yeah. Than the 00:01:10.260 --> 00:01:12.739 AI that we have now. Right. And this synthetic 00:01:12.739 --> 00:01:15.739 biological intelligence, or SBI as they're calling 00:01:15.739 --> 00:01:19.719 it. Catchy. Yeah, they just introduced it officially 00:01:19.719 --> 00:01:25.040 in Barcelona on March 2nd, 2025. Very recent. 00:01:25.280 --> 00:01:27.510 Yeah. just the other day. And scientists are 00:01:27.510 --> 00:01:28.989 really excited about it because they think this 00:01:28.989 --> 00:01:31.129 could be like a huge breakthrough. I think so 00:01:31.129 --> 00:01:33.609 too. Especially for like medical research. Think 00:01:33.609 --> 00:01:37.849 about it a whole new way to like approach health 00:01:37.849 --> 00:01:40.469 challenges and stuff. Absolutely. And I think 00:01:40.469 --> 00:01:42.670 what's really interesting from a bigger picture 00:01:42.670 --> 00:01:47.250 perspective is that traditional AI, it could 00:01:47.250 --> 00:01:49.870 be so powerful, but it takes so much computing 00:01:49.870 --> 00:01:52.469 power. Yeah. So much energy. So much energy. 00:01:52.920 --> 00:01:55.640 But to think about how efficient our own biological 00:01:55.640 --> 00:01:59.579 systems are for computation, it's a really compelling 00:01:59.579 --> 00:02:01.939 idea. And the fact that these brain cells, they 00:02:01.939 --> 00:02:05.859 can evolve and learn constantly, it's a game 00:02:05.859 --> 00:02:09.659 changer. Yeah, it's not just static. It's alive. 00:02:09.659 --> 00:02:12.960 It's alive and it's constantly learning. And 00:02:12.960 --> 00:02:15.939 the way they do it is they take regular blood 00:02:15.939 --> 00:02:19.710 or skin cells and they do this. crazy science, 00:02:19.889 --> 00:02:22.389 and they turn them into stem cells. And then 00:02:22.389 --> 00:02:25.030 the stem cells can become any kind of cell in 00:02:25.030 --> 00:02:28.689 the body. And they basically make them into brain 00:02:28.689 --> 00:02:31.110 cells or neurons. And then those are like the 00:02:31.110 --> 00:02:34.189 building blocks of the computer. Wow. Yeah, pretty 00:02:34.189 --> 00:02:36.610 wild. That's amazing. But this isn't their first 00:02:36.610 --> 00:02:38.889 time doing this. They did this thing back in 00:02:38.889 --> 00:02:43.120 20... that got a lot of attention. The dish brain, 00:02:43.259 --> 00:02:45.659 right? The dish brain, yeah. So they basically 00:02:45.659 --> 00:02:49.919 grew like 800 ,000 human and mouse neurons on 00:02:49.919 --> 00:02:51.900 a chip. And they taught it to play pong. They 00:02:51.900 --> 00:02:55.039 taught it to play pong. That's crazy. You remember 00:02:55.039 --> 00:02:57.500 Elsie Blaine? Oh yeah. The science writer? Yeah. 00:02:57.699 --> 00:02:59.780 She was all over that. Yeah, she was all over 00:02:59.780 --> 00:03:04.560 that. Talking about how this neural network could... 00:03:04.590 --> 00:03:07.270 Teach itself it could adapt to new situations 00:03:07.270 --> 00:03:10.250 even make new connections based on like what 00:03:10.250 --> 00:03:12.750 was happening in the game That's wild really 00:03:12.750 --> 00:03:15.110 put cortical labs on the map. Yeah and and back 00:03:15.110 --> 00:03:18.409 in 2023 Brett Kagan who's the chief scientific 00:03:18.409 --> 00:03:20.330 officer at cortical labs? He was saying okay. 00:03:20.729 --> 00:03:23.590 This technology is like a whole new form of life 00:03:23.590 --> 00:03:26.310 Interesting. It's not an animal. It's not a human. 00:03:26.330 --> 00:03:28.870 It's something totally different right and he 00:03:28.870 --> 00:03:30.990 was saying it's like a mechanical and engineering 00:03:30.990 --> 00:03:33.469 approach to intelligence but built with like 00:03:33.680 --> 00:03:36.979 Real neurons which is just mind -blowing when 00:03:36.979 --> 00:03:38.659 you think about it It's like a totally different 00:03:38.659 --> 00:03:40.620 way of thinking about intelligence and maybe 00:03:40.620 --> 00:03:43.180 even life itself totally and now fast forward 00:03:43.180 --> 00:03:46.060 to today Yeah, the cl1 is not just some research 00:03:46.060 --> 00:03:49.039 project. It's like it's a product It's a product 00:03:49.039 --> 00:03:51.340 that you can buy that you can buy researchers 00:03:51.340 --> 00:03:53.699 can get their hands on it That's huge and start 00:03:53.699 --> 00:03:55.780 using it. So let's break it down. Okay, what 00:03:55.780 --> 00:03:58.500 is the cl1 biocomputer? Yeah, you know, what 00:03:58.500 --> 00:04:00.780 is it all about? So from what I've been reading 00:04:00.780 --> 00:04:04.479 the cl1 it's not just like a little chip that 00:04:04.479 --> 00:04:06.360 you stick in your computer. It's like a whole 00:04:06.360 --> 00:04:09.819 system. And the human brain cells, they're like, 00:04:09.840 --> 00:04:11.939 they live in this unit that takes care of them 00:04:11.939 --> 00:04:14.240 and keeps them alive. Oh, so it's like a... Yeah, 00:04:14.439 --> 00:04:15.939 like a life support system. The life support 00:04:15.939 --> 00:04:18.339 system for these brain cells. Yeah. Okay. Dr. 00:04:18.459 --> 00:04:21.199 Han Wangchang, who's the founder and CEO of Cortical 00:04:21.199 --> 00:04:23.920 Labs, he's been saying that this is like the 00:04:23.920 --> 00:04:26.100 biggest moment for the company in like their 00:04:26.100 --> 00:04:28.920 whole six -year journey. And he's even comparing 00:04:28.920 --> 00:04:31.949 it to that famous Pong experiment. that they 00:04:31.949 --> 00:04:35.629 published in Neuron. And it's cool to see how 00:04:35.629 --> 00:04:38.269 they've come from that research to this actual 00:04:38.269 --> 00:04:40.610 product. But it's also made it clear that they've 00:04:40.610 --> 00:04:43.550 always wanted to make this technology more accessible 00:04:43.550 --> 00:04:46.009 to more people. So you don't need like a million 00:04:46.009 --> 00:04:48.610 dollars in a special lab. Exactly. You don't 00:04:48.610 --> 00:04:50.850 need the fancy hardware, the fancy software. 00:04:51.509 --> 00:04:53.610 The CL1 is how they're doing that. They're making 00:04:53.610 --> 00:04:56.189 it so anyone can use it. And they came up with 00:04:56.189 --> 00:04:59.680 this very interesting term. What's that? wetware 00:04:59.680 --> 00:05:02.600 as a service. Okay, I like that. Yeah, so basically, 00:05:03.220 --> 00:05:06.040 customers can either buy the CL1, like the actual 00:05:06.040 --> 00:05:10.360 unit, or they can rent access to it. Or remotely. 00:05:10.879 --> 00:05:13.699 Remotely through the cloud. Interesting. It's 00:05:13.699 --> 00:05:16.899 like software as a service, but for brain power. 00:05:17.120 --> 00:05:20.079 but with real biological components. Yeah. That's 00:05:20.079 --> 00:05:21.980 fascinating. So it makes it a lot easier for 00:05:21.980 --> 00:05:24.839 people to use it. Right. Like it lowers the barrier 00:05:24.839 --> 00:05:27.879 to entry. Yeah. Dr. Chalm thinks this could empower 00:05:27.879 --> 00:05:30.759 millions of researchers and inventors and just 00:05:30.759 --> 00:05:33.480 people with big ideas who might not have the 00:05:33.480 --> 00:05:35.560 resources to build this kind of system themselves. 00:05:35.740 --> 00:05:38.019 Yeah. It's like democratizing this really advanced 00:05:38.019 --> 00:05:40.319 technology. Yeah. In cortical labs, they're not 00:05:40.319 --> 00:05:42.449 just providing the hardware. Right. They're providing 00:05:42.449 --> 00:05:45.069 the tools and the support. Yeah. To help people 00:05:45.069 --> 00:05:47.490 make new discoveries. So it's like a whole platform. 00:05:47.689 --> 00:05:50.129 Exactly. And when you think about the potential 00:05:50.129 --> 00:05:52.930 applications, it's like mind -blowing. It can 00:05:52.930 --> 00:05:55.670 change so many things. So many things. Like for 00:05:55.670 --> 00:05:59.430 example, substance discovery. Yeah. Like finding 00:05:59.430 --> 00:06:02.389 new drugs. Right. It could be way faster, way 00:06:02.389 --> 00:06:06.170 more efficient. Imagine being able to test like 00:06:06.170 --> 00:06:10.430 new drugs. Yeah. On actual living neural networks. 00:06:10.529 --> 00:06:14.350 Yeah. that are like, you know, human brain tissue. 00:06:14.449 --> 00:06:16.589 Like a mini brain. Yeah. And then you can see 00:06:16.589 --> 00:06:18.569 exactly what it does. You can see how the cells 00:06:18.569 --> 00:06:21.370 react. Yeah. See if it's effective. Yeah. Without 00:06:21.370 --> 00:06:23.790 having to, you know, use animal testing. Yeah. 00:06:23.870 --> 00:06:25.850 And it could be a lot more accurate, too, because 00:06:25.850 --> 00:06:29.139 it's like... It's the real thing. The real thing. 00:06:29.199 --> 00:06:31.620 Not a simulation. And it could change clinical 00:06:31.620 --> 00:06:34.339 trials. Like the way we test new treatments. 00:06:34.339 --> 00:06:37.620 Yeah. And even like robotics. Oh yeah. Like we 00:06:37.620 --> 00:06:40.420 could have robots that are like way more adaptable 00:06:40.420 --> 00:06:42.759 and customizable. Robots with real intelligence? 00:06:42.759 --> 00:06:45.879 Yeah. They can learn and grow. Yeah. That's incredible. 00:06:45.980 --> 00:06:48.800 And they're aiming to have this... widely available 00:06:48.800 --> 00:06:51.060 in the second half of 2025. Yeah, which makes 00:06:51.060 --> 00:06:53.259 me think they're pretty confident. Yeah. Yeah, 00:06:53.399 --> 00:06:55.040 they must be pretty far along if they're going 00:06:55.040 --> 00:06:57.420 to make it available to everybody. Yeah. And 00:06:57.420 --> 00:07:00.199 some researchers got to visit cortical labs in 00:07:00.199 --> 00:07:03.199 Melbourne. Oh, wow. And they were saying, it's 00:07:03.199 --> 00:07:06.160 not just about playing pong. It's way more than 00:07:06.160 --> 00:07:08.339 that. Much more. It's like a whole new way of 00:07:08.339 --> 00:07:11.740 computing. It is a new paradigm for computation. 00:07:12.160 --> 00:07:16.199 So what's so special about the CL1? Technologically. 00:07:16.560 --> 00:07:18.839 Technologically. What makes it tick? Okay, so 00:07:18.839 --> 00:07:21.920 even the name CL1. Yeah. Shows that it's a step 00:07:21.920 --> 00:07:24.759 up from the dish brain. Yeah. The hardware is 00:07:24.759 --> 00:07:27.560 simpler, it's more stable. Okay. But the really 00:07:27.560 --> 00:07:31.079 cool stuff is in the wetware. The wetware. The 00:07:31.079 --> 00:07:33.540 brain cells. Yeah. They figured out how to grow 00:07:33.540 --> 00:07:36.040 a neural network that's more like a real brain. 00:07:36.180 --> 00:07:38.600 Like a mini brain or something. They call it 00:07:38.600 --> 00:07:41.220 a minimal viable brain. Minimal viable brain. 00:07:41.319 --> 00:07:44.759 Yeah. OK. Amazing. And how do they connect to 00:07:44.759 --> 00:07:46.839 these brain cells? Well, they use these things 00:07:46.839 --> 00:07:50.060 called planar electrode arrays. OK. So these 00:07:50.060 --> 00:07:52.300 are like little flat structures made of metal 00:07:52.300 --> 00:07:55.279 and glass. OK. And they have like 59 electrodes 00:07:55.279 --> 00:07:57.660 on them. OK. And these electrodes, they're like 00:07:57.660 --> 00:08:01.639 the communication points between the computer 00:08:01.639 --> 00:08:05.379 system and the neurons. OK. They use this advanced 00:08:05.379 --> 00:08:09.529 CCOS technology to exchange information. So they 00:08:09.529 --> 00:08:12.769 can like stimulate the cells and also read what 00:08:12.769 --> 00:08:14.670 the cells are doing. Exactly. They can stimulate 00:08:14.670 --> 00:08:16.550 them and they can record the activity. Okay. 00:08:16.930 --> 00:08:18.910 And the coolest thing that they found in those 00:08:18.910 --> 00:08:22.769 dish brain experiments is that the neurons, they 00:08:22.769 --> 00:08:24.970 kind of like predictability. Predictability? 00:08:25.209 --> 00:08:27.370 Yeah. When they make connections that lead to 00:08:27.370 --> 00:08:29.930 like stable outcomes, they strengthen those connections. 00:08:29.990 --> 00:08:32.669 So they learn? They learn, yeah. Okay. But when 00:08:32.669 --> 00:08:36.009 their activity is like random and chaotic, they 00:08:36.009 --> 00:08:37.690 avoid that. They don't like that. They don't 00:08:37.690 --> 00:08:39.860 like that. They want order. They want order. 00:08:39.879 --> 00:08:42.519 So they're constantly, like, self -optimizing. 00:08:42.519 --> 00:08:44.559 Exactly. Based on what works and what doesn't. 00:08:44.600 --> 00:08:46.120 Yeah, it's like a built -in learning mechanism. 00:08:46.480 --> 00:08:49.259 That's why. Driven by this need for stability 00:08:49.259 --> 00:08:52.000 and efficiency. And they upgraded from that old 00:08:52.000 --> 00:08:54.779 CMOS ship. Oh, yeah. That they were using before. 00:08:55.120 --> 00:08:57.440 Which had some problems. Yeah, it was like opaque, 00:08:57.600 --> 00:08:59.259 so you couldn't see the cells. Right. And it 00:08:59.259 --> 00:09:00.980 could build up electrical charge. Yeah, which 00:09:00.980 --> 00:09:03.059 wasn't good for the cells. So they came up with 00:09:03.059 --> 00:09:05.860 a new system. They did. That's way more precise. 00:09:05.980 --> 00:09:08.159 Right. And it keeps the cells healthier. Yeah, 00:09:08.220 --> 00:09:10.159 it's a much better environment. So they can live 00:09:10.159 --> 00:09:13.120 longer. For the neurons to thrive. Yeah. And 00:09:13.120 --> 00:09:16.620 all of this is housed in this... Life support 00:09:16.620 --> 00:09:19.279 unit. This body in a box. The body in a box. 00:09:19.519 --> 00:09:22.259 Yeah, it's got like filtration, liquid storage 00:09:22.259 --> 00:09:26.500 pumps, gas mixing, temperature control. It's 00:09:26.500 --> 00:09:28.440 like a high -tech aquarium. Yeah, it's like a 00:09:28.440 --> 00:09:30.299 little world for the neurons. A little world, 00:09:30.340 --> 00:09:32.320 yeah. And they're building this crazy thing in 00:09:32.320 --> 00:09:35.580 Melbourne. What's that? It's a biological neural 00:09:35.580 --> 00:09:38.559 network server stack. Okay, so like a server 00:09:38.559 --> 00:09:41.639 farm. Yeah, but with brains. With brains. Yeah. 00:09:41.820 --> 00:09:45.559 Wow. 30 CL1 units all connected together. And 00:09:45.559 --> 00:09:47.320 that's just the beginning. It's just the beginning. 00:09:47.379 --> 00:09:49.080 They want to scale it up. Yeah. And they think 00:09:49.080 --> 00:09:51.960 it'll be online in a few months. Yeah, this is 00:09:51.960 --> 00:09:54.000 happening, like, right now. This is the future 00:09:54.000 --> 00:09:55.980 happening now. So what's next for them? Well, 00:09:55.980 --> 00:09:58.379 they want to have four of these stacks. Four? 00:09:58.480 --> 00:10:00.960 Yeah. Wow. By the end of the year. OK. And they're 00:10:00.960 --> 00:10:02.759 going to be accessible through the cloud. So 00:10:02.759 --> 00:10:05.659 even more people can use them. Exactly. Anyone 00:10:05.659 --> 00:10:07.600 with an internet connection can tap into this 00:10:07.600 --> 00:10:10.330 brain power. And the price is coming down. Yeah, 00:10:10.330 --> 00:10:13.769 it's still pretty expensive. $35 ,000 per unit. 00:10:13.889 --> 00:10:16.389 Right. But that's way cheaper than some of the 00:10:16.389 --> 00:10:18.250 other options. Some of the other systems are 00:10:18.250 --> 00:10:21.690 like $85 ,000. Yeah. But Cortical Labs, they're 00:10:21.690 --> 00:10:23.649 working on making it even cheaper. So it'll be 00:10:23.649 --> 00:10:25.929 more affordable. Yeah, for more researchers and 00:10:25.929 --> 00:10:28.370 companies. And it's super energy efficient. Yeah, 00:10:28.429 --> 00:10:31.250 a full rack of these CL1s only uses like 850 00:10:31.250 --> 00:10:35.309 to 1 ,000 watts. That's like nothing. It's way 00:10:35.309 --> 00:10:38.269 less than a traditional computer cluster. Yeah, 00:10:38.470 --> 00:10:40.570 it's crazy. For the same amount of processing 00:10:40.570 --> 00:10:43.129 power. And it's programmable. You can program 00:10:43.129 --> 00:10:45.250 the brain. Yeah, you can talk to the neurons. 00:10:45.909 --> 00:10:48.529 That's wild. And they can talk back. It's two 00:10:48.529 --> 00:10:51.389 -way communication. Yeah, so they can learn and 00:10:51.389 --> 00:10:53.210 adapt in real -time. Real -time learning. And 00:10:53.210 --> 00:10:55.210 you don't even need a separate computer to use 00:10:55.210 --> 00:10:57.649 it. It's a self -contained system. Yeah, it's 00:10:57.649 --> 00:11:00.070 amazing. The possibilities are endless. So what 00:11:00.070 --> 00:11:02.090 are they going to use this for? What are the 00:11:02.090 --> 00:11:03.870 immediate applications? Well, drug discovery 00:11:03.870 --> 00:11:06.470 is a big one. Yeah. Being able to actually see 00:11:06.679 --> 00:11:10.159 how neurons grow and connect under a microscope 00:11:10.159 --> 00:11:12.600 in response to different drugs or treatments, 00:11:13.139 --> 00:11:15.440 that's going to be huge for research. And it's 00:11:15.440 --> 00:11:17.779 accessible to anyone through the cloud. Right. 00:11:18.480 --> 00:11:22.159 So even if you can't afford to buy a CL1, you 00:11:22.159 --> 00:11:24.860 can still use it. That's really cool. It's democratizing 00:11:24.860 --> 00:11:27.539 science. And they're using these special stem 00:11:27.539 --> 00:11:30.500 cells. Induced. pluripotent stem cells. Yeah, 00:11:30.600 --> 00:11:32.659 from blood samples. Yeah, so they take a blood 00:11:32.659 --> 00:11:34.639 sample. Yeah. And they turn those cells back 00:11:34.639 --> 00:11:37.379 into stem cells. Wow. Which can become any type 00:11:37.379 --> 00:11:39.759 of cell. Yeah. And then they turn them into neurons. 00:11:39.820 --> 00:11:43.600 So it's like personalized brain cells. In a way. 00:11:43.740 --> 00:11:46.179 From your own blood. That's incredible. Yeah. 00:11:46.399 --> 00:11:48.960 It really is. And they use two methods to make 00:11:48.960 --> 00:11:51.460 the neurons. Right. One is with molecules. Yeah, 00:11:51.460 --> 00:11:54.580 they expose the stem cells to these molecules 00:11:54.580 --> 00:11:57.340 that mimic brain development. OK. And that way 00:11:57.340 --> 00:12:00.330 is faster. for making lots of cells. But is it 00:12:00.330 --> 00:12:03.029 as good? Well, the other way is to modify the 00:12:03.029 --> 00:12:05.889 genes. Okay. And that's more precise. Okay. You 00:12:05.889 --> 00:12:08.070 can get more specific types of neurons. But is 00:12:08.070 --> 00:12:10.909 it slower? It is slower. Yeah. Is there like 00:12:10.909 --> 00:12:14.570 trading off speed and precision? Yeah. It depends 00:12:14.570 --> 00:12:16.870 on what you need for your research. Right. But 00:12:16.870 --> 00:12:19.909 the ultimate goal is to build that minimal viable 00:12:19.909 --> 00:12:22.370 brain. Yeah. A functional brain. Yeah. That can 00:12:22.370 --> 00:12:25.220 do real thinking. And that's still a challenge. 00:12:25.360 --> 00:12:28.360 It is a huge challenge. Yeah. But the CL1 is 00:12:28.360 --> 00:12:30.860 a big step in the right direction. Yeah. It's 00:12:30.860 --> 00:12:32.740 a tool that can help us understand the brain 00:12:32.740 --> 00:12:35.419 better. And maybe even build a better brain. 00:12:35.740 --> 00:12:38.200 Exactly. And it could help us develop new treatments 00:12:38.200 --> 00:12:41.019 for brain disorders. Absolutely. And maybe even 00:12:41.019 --> 00:12:45.220 reduce the need for animal testing. Yeah. That's 00:12:45.220 --> 00:12:47.750 a big ethical consideration. Yeah. Yeah, so it's 00:12:47.750 --> 00:12:50.169 a really powerful technology. It is. With a lot 00:12:50.169 --> 00:12:51.950 of potential. And a lot of responsibility. We 00:12:51.950 --> 00:12:54.269 have to be careful with this. So to recap, we've 00:12:54.269 --> 00:12:56.590 been talking about the CL1. The world's first 00:12:56.590 --> 00:12:59.870 commercially available biocomputer. Powered by 00:12:59.870 --> 00:13:02.750 living human brain cells. It's amazing. It's 00:13:02.750 --> 00:13:04.929 totally different from traditional AI. Yeah, 00:13:05.090 --> 00:13:08.230 it learns faster, it's more flexible, it uses 00:13:08.230 --> 00:13:10.750 less energy. And it could change everything. 00:13:10.909 --> 00:13:13.690 From medicine to robotics. And everything in 00:13:13.690 --> 00:13:16.240 between. And the best part is, it's accessible 00:13:16.240 --> 00:13:19.220 to everyone. Through the cloud. Yeah, anyone 00:13:19.220 --> 00:13:22.559 can use it. So for you listening, think about 00:13:22.559 --> 00:13:26.940 this. This CL1, it can learn and adapt like a 00:13:26.940 --> 00:13:29.600 real brain. Right. So what does that mean for 00:13:29.600 --> 00:13:32.059 us? What are the implications? Yeah, what are 00:13:32.059 --> 00:13:34.559 the ethical implications? The philosophical implications. 00:13:34.639 --> 00:13:36.600 Yeah, as this technology gets more powerful. 00:13:36.659 --> 00:13:38.720 As it becomes more widespread. Yeah, and more 00:13:38.720 --> 00:13:40.879 integrated into our lives. It's a big question. 00:13:41.019 --> 00:13:42.960 Yeah, it's a big question. That we need to be 00:13:42.960 --> 00:13:44.879 thinking about. Yeah, because we're really at 00:13:44.879 --> 00:13:48.159 the beginning. The dawn of a new era. Of something 00:13:48.159 --> 00:13:51.200 completely new. Biological computing? Yeah. It's 00:13:51.200 --> 00:13:54.600 exciting and a little bit scary. Yeah, definitely 00:13:54.600 --> 00:13:57.340 a lot to think about. A lot to think about. But 00:13:57.340 --> 00:13:59.789 that's why we do this show. To explore these 00:13:59.789 --> 00:14:02.649 big ideas. Yeah, and to get you thinking. To 00:14:02.649 --> 00:14:05.009 get the conversation started. Yeah, so thanks 00:14:05.009 --> 00:14:07.070 for joining us. Thanks for having me. And we'll 00:14:07.070 --> 00:14:09.230 see you next time. Until next time. On the deep 00:14:09.230 --> 00:14:12.330 dive. On the deep dive. Into the future. Into 00:14:12.330 --> 00:14:13.389 the future.