# Billionaire's Neuralink Baby Plan: Alexandr Wang Wants Super-Kids with Brain Chips! *ClassicClipsVault * · https://www.youtube.com/watch?v=Vc2Uawg1PdM ## Summary Alexandr Wang explains why he wants to wait to have children until brain-computer interfaces like Neuralink are working, arguing that kids' high neuroplasticity in their first seven years would let them integrate the technology far better than adults. He frames this pragmatically: AI will keep improving rapidly while human biology evolves slowly, so humans will eventually need a direct hookup to AI to keep pace. He acknowledges the idea is potentially dangerous and scary but believes it will be necessary. ## Key points - Wang wants to wait to have kids until brain-computer interfaces like Neuralink are working. - The first seven years of life are when the brain is most neuroplastic, by an order of magnitude. - He cites children born with cataracts who never learn to see if the cataracts aren't removed until age eight or nine. - Kids born with Neuralink would learn to use it as a true part of their brain in ways adults never could. - AI will keep getting smarter and more capable, including through robots and other forms. - Humans only get smarter on the timescale of millions of years through slow natural selection. - Humanity will need to tap into AI directly to bring biological life alongside silicon-based intelligence. - He admits the technology is potentially dangerous and terrifying but says we're just going to have to do it. ## Notes ### Why wait to have kids - Wang wants to delay having children until Neuralink or other brain-computer interfaces are working. - His reasoning: the first seven years of life are when the brain is most neuroplastic, by an order of magnitude. ### The cataract example - A child born with cataracts who doesn't get them removed until age eight or nine will never learn to see, even after removal. - The brain needs visual input in those first seven years to learn to read signals from the eyes. - By analogy, kids born with Neuralink would learn to use it in "crazy" ways, making it a true part of their brain — something an adult recipient could never achieve. ### The AI argument - Wang works on AI and believes it will keep getting smarter, more capable, and more powerful. - AI will take on more forms over time, including robots. - Humans do get smarter, but only on the timescale of millions of years because natural selection and evolution are really slow. ### The conclusion - Biology will improve only so fast while AI improves rapidly. - Humanity will need to bring biological life alongside silicon-based intelligence by tapping into AI directly. - Eventually we'll need an interlink between our brains and AI, the internet, and other systems. - He concedes it's potentially dangerous, terrifying, and scary — "but we just are going to have to do it." ## Transcript [00:00] I want to wait to have kids until we figure out how Neurolink or other it's called brain computer interfaces. So other ways for brains to interlink with with a with a computer um until they start working. Uh because so there's a few reasons for this. First is in your first like seven years of life your brain is more neuroplastic than at any other point in your life. like by by an order of magnitude. So there have been examples where you know for example if somebody if a kid is born like you have a newborn that has let's say they have cataracts in their eyes so they so they can't see through um uh the cataracts and then they live their first seven life seven years of their life with those cataracts and then you have them [00:48] removed when they're like eight or nine then even with those removed they're not going to learn how to see because they're it's so important in those first seven years of your development that you're able to you're you're able to see that your brain can like learn how to read the signals coming off of your eyes and if you if that's not if you don't have that until you're like eight or nine then you won't learn how to see. So because it's so important that your neuroplast your your neuroplasticity is so high in that early stage of life. I think when we get neural link and we get these other technologies kids who are born with them are going to learn how to use them in like crazy crazy ways like [01:29] it'll be a actually like a part of their brain in a way that it'll never be true for an adult who gets like a neural link or whatever hooked into their hooked into their brain. Um, so that's why to wait. Now, Neurolink as a as a concept or like taking hooking your brain up to a computer. Um, I kind of take a a pragmatic view on this, which is, you know, my day job, I work on AI. I believe a lot in AI. I think AI is going to continue becoming smarter and smarter, more and more capable, more and more powerful. Um, AI is going to is going to continue being able to do more and more and more and more. We're going to have robots. we're going to have other forms for that AI to take over time. And so, and humans, we're only [02:13] evolving at a certain rate. Like humans are, you know, we are, humans will get smarter over time. It's just on the time scale of like millions of years because natural selection and evolution is really slow. >> I don't know. Are we getting smarter? But >> I don't know about recently, but uh little setback. >> Yeah. A little a little blip. Um, so if you play this forward, right, like you're going to have AIs that are going to continue getting smarter, continue improving, like they're going to keep improving really quickly. And, you know, biology is going to improve only so fast. And so what what we need at some point is the ability to tap into AI ourselves. like we're going to need to bring biological life uh alongside all [03:00] of the siliconbased or artificial intelligence and we're going to want to be able to tap into that for for our own sake for humanity's sake. And so eventually I think we're going to need some interlink or hookup between our brains directly to AI and the internet and all these things. Um, and it's a it is potentially dangerous and it's potentially, you know, to your point, terrifying and scary, but we just are going to have to do it. Like AI is going to go like this. Humans are going to improve at a much slower rate and we're going to need to hook into that capability.