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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971387 | [S1] Channel op, channelrhodopsins and, um, and their related, uh, genes and proteins are, uh, starting to elicit what you've seen. [S2] Mm-hmm. [S1] Um, and then I'd like to talk about their applicability to the clinic, which is, I think, the, the bigger mission, if you will. | 16.12 | 3.121231 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971387.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971388 | [S1] And yet we've got a different reality. That is an amazing thing. And if we can understand that and help these people, that would be, uh, just, uh, you know, more than anybody could ask for. And so that's, that's how I ended up, uh, taking this path. Just a, a, a required rotation in psychiatry. [S2] It all started with poetry. [S1] And it started with poetry. [S2] Yeah. Out of, out of, um, respect for poetry, are, are there any favorites that you spend time with, uh, on a regular basis? | 28.32 | 3.199067 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971388.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971389 | [S1] Down this path, early on, I remember in, in childhood and high school, uh, uh, Borges had an immense influence on me. Um, I, I, I studied Spanish all the way through and, and, and, uh, reading his work. He was a, a great writer. He wrote both in, in English and in Spanish, and, and being able to appreciate his poetry both in English and in Spanish was, was a pretty amazing thing. Not many, uh, poets can, can do that. [S2] You're bilingual. [S1] I, I, I'm not, I, I wouldn't say. Now I, I became, at one point I was, | 29.88 | 3.236582 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971389.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971390 | [S1] Borges is wonderful. As the son of an Argentine, I grew up hearing about it and I learned that Borges' favorite city was Geneva. [S2] Yeah. [S1] So I spent time in Geneva only for that reason. It also turns out to be an interesting city. [S2] Yes. [S1] Um, so you developed methods to control neurons with these algae proteins using light. [S2] Yeah. | 23.76 | 3.216696 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971390.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971391 | [S1] And why the Vegas? I mean, it's there, but, and it's accessible. [S2] That's the reason. [S1] That's the reason? [S2] That's the reason, yes. [S1] Really? [S2] Yeah. [S1] You're not kidding. [S2] I'm not kidding. [S1] So, stimulating the Vegas to treat depression simply because it's accessible. [S2] It started as, actually as a, as an epilepsy, uh, treatment, and it can help with epilepsy, but, uh, yes, it's simply because it's accessible. [S1] You gotta, you gotta love the medicine. | 20.12 | 3.147337 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971391.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971392 | [S1] Simply because it's accessible. [S2] You gotta love medicine. As a scientist, I got, this is where I get to chuckle and just say, I'm in the field of medicine, from that perspective, from, from the perspective of a scientist and outsider, the field of medicine as a field that goes in and tickles pathways because they're there, it's, um, I don't know what to say. It's, um, a little shocking. [S1] Yeah. [S2] Um, and, | 25.6 | 3.411687 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971392.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971393 | [S1] We all, at least in my laboratory, I always say, you never do an experiment because you can. You, you do an experiment to test a specific hypothesis. [S2] Yeah, yeah. I mean, we, there are, there are stories people tell. So the, the, the vagus nerve lands on a particular spot on the brain called the solitary tract nucleus, which is just one synapse away from the serotonin and the dopamine and the norepinephrine. [S1] So there's a link to chemical systems in the brain that make it a rational choice. [S2] It, | 27.32 | 3.273739 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971393.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971394 | [S1] Yes, it's not, it's not irrational, but I can tell you that even if that were not true, the same thing would have been tried. [S2] [LAUGHS] [S1] You know. [S2] You guys would have done it anyways. [S1] Because it's accessible. Yeah. [S2] I see. Okay. [S1] And, and, but, and, and why? Well, it's, it's not to, again, not to disparage, uh, what, what's been happening in this branch of medicine. There's immense suffering, treatments, many treatments don't work, and, and | 24.36 | 2.858331 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971394.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971395 | [S1] So we want to fix this key on the piano. [S2] Yeah. [S1] And then I see two other, uh, steps that are required. One is to get the channelopsin gene into the cell. In the case of Bhutan, Raska and colleagues, uh, rescuing vision in this patient. Um, they did that by an injection of a virus that doesn't damage the neurons. The virus itself is fairly innocuous, um, but carries a cargo, and it's a one-time injection. The cells express, and then they used light to stimulate. So, | 28.08 | 3.373017 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971395.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971396 | Um, how are we going to get it in there? And then how are we going to deliver the light? 'Cause we're not talking about sunlight or standing in front of a light bulb necessarily. [S1] Yeah. [S2] But what are, what are the mechanisms for the body? [S1] Yeah. So we had to solve exactly these questions you're saying. How do you get the light in? How do you get the gene in, in a, in a potent and robust and safe way? And it's, that's now solved and that's not, uh, a challenge. So there are very safe, well-tolerated, um, uh, gene delivery | 29.68 | 3.063412 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971396.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971397 | [S1] a particular part of the body. Uh, and sticking with this vagus nerve example, we know that there are particular clumps of neurons. There's one called the nodos ganglion, uh, that has a clump of cells related to the vagus nerve. And you could, for example, target a little injection into that ganglion. [S2] Would that be an outpatient procedure? [S1] Yeah. [S2] Yeah. So you come in in the morning, get your injection, maybe walk out a few hours later. [S1] Yeah, that's right. | 25.08 | 3.341586 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971397.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971398 | [S1] Uh, goggles that, uh, created much bright, much brighter light than the normal ambient light, uh, delivery. Because as I mentioned earlier, you have to pack a lot of these channel adoptions in. They don't have much current. You have to really make sure that you've got a tense enough light to activate enough of them to cause a stimulation. [S2] And it has to be the right wavelength, correct? [S1] It has to be the right wavelength. [S2] In going | 22.56 | 3.403544 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971398.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971399 | [S1] And it has to be the right wavelength. [S2] It has to be the right wavelength. [S1] In going back to your example of the algae moving toward or away- [S2] Yeah. [S1] ... uh, the light, it, it has to be tuned just right. So could you, or could, I'm imagining in my mind as a non-engineer, I know you're also a bioengineer, the, uh, I'm imagining a little, tiny, um, blue light-emitting, um, thing, object that, | 23.84 | 3.280201 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971399.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971400 | [S1] All around. [S2] Yeah. [S1] Each edge, half a millimeter in size. I could imagine that being put under my skin. [S2] Yeah. [S1] And then I would, what, I'd hit an app on my phone and I'd say, I'd say, "Dr. Deisseroth, I'm not feeling great today. Can I increase the stimulation?" And you say, "Go for it." And then I'd ramp it up. Is that how it would go? | 17.72 | 3.02129 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971400.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971401 | [S1] I mean, that's effectively what we already do with the vagus nerve stimulation. The, the doctor in this case, and I, I have this in some of my patients in the clinic, I do vagus nerve stimulation. I talk to them, I say, "How are you?" I, I go through the symptoms. I, I use the psychiatric interview to elicit their internal states, and then I have a radio frequency controller that I can dial in. [S2] Right there in real time. [S1] Right there in real time. [S2] You're holding the remote control to, essentially, to their brain, although it's remote, remote control. [S1] Yeah, through a couple steps, but yeah. [S2] Yeah, yeah. | 26.68 | 2.978482 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971401.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971402 | [S1] And I can, I can turn up, I can turn up the frequency, I can turn up the intensity, uh, all with the radio frequency and, uh, uh, control, and then it's, it's reprogrammed or, uh, redosed, uh, and then the patient can, can then leave at this altered dose. [S2] So this is happening now. [S1] This is happening right now, electrically. [S2] You do this routinely. [S1] I do it routinely in my clinic, electrically, yeah. [S2] And you- | 21.28 | 3.231147 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971402.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971403 | [S1] And you're getting the verbal content, which, as you described earlier, is the indication of how well something is working in real time. [S2] Yes. [S1] So this, maybe you could just describe a little bit of the interaction with that particular patient or, or another patient. What's a typical arc of, um, narrative as you go from no stimulation to increased stimulation? | 22.28 | 3.358113 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971403.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971404 | [S1] What is your mood? Um, and, and then we talk with the patient and we decide, "Oh, this is, this is not yet where we'd like to be." And so then I can turn up the intensity of the stimulation in real time in the office. I don't, in most patients, I don't expect an immediate mood change. What I do is I increase the, the dose until, uh, uh, the next level up while asking the patient for side effects. Can you still breathe okay? Can you still swallow okay? And I can hear their voice as well and, and I can get a sense. [S2] And you're looking at their face. [S1] And I'm looking | 28.12 | 3.134573 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971404.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971405 | [S1] ... face. [S2] And I'm looking at their face. [S1] Yeah. [S2] And so I can get a sense, is there a, uh, am I in a, still in a safe side effect, uh, regime? And I, and, and, and then, you know, I, I, I stop at a particular point that looks safe, and then patient goes home, comes back a month later, and I get the report on how things were over that month. | 18.72 | 3.43717 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971405.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971406 | [S1] I asked, uh, if you're looking at their face, 'cause in your book, um, you describe the incredible complexity of social interactions. And at one point, you describe the incredible amount of information that the eyes inform about the brain and, and the context of somebody's inner experience, whether depressed or happy or otherwise. [S2] Yeah. [S1] I want to make sure that we, | 25.4 | 3.304942 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971406.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971407 | [S1] Get back to how to maneuver the, the, and manipulate the nervous system for sake of mental health. But what are you looking for? So as a vision scientist, I think, you know, pupils dilating is a sign of arousal, but that could be a positive arousal, positive valence, like excitement, or it could be terror. [S2] Yeah. [S1] You're going to get the same dilation of the pupils. Um, | 22.96 | 3.340552 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971407.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971408 | [S1] realizing, of course, that a trained psychiatrist like yourself develops an intuitive sense that's aggregating lots of different features of a patient. [S2] Yeah. [S1] But what about the eyes? What's, what's going on there? [S2] Yeah. | 11.76 | 3.159964 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971408.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971409 | [S1] So, um, so many theories out there about, um, excessive blinking and lying, uh, lack of blinking in sociopathy. Um, I like to remind people that, uh, it, people have varying degrees of lubrication of the eyes, [S2] [LAUGHS] [S1] ... which also influence the frequency of blinking and presumably have nothing to do with, uh, whether or not what they're saying is true or not. Uh, but in- incredible nonetheless, that it's, that the eyes are a portal to, | 25.16 | 3.281149 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971409.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971410 | [S1] It, it's an actually, it's a frustrating aspect of psychiatry that in many cases, the most effective treatments we have, have the least specificity. Electroconvulsive therapy being a great example where you're causing a brain-wide seizure. [S2] Which looks barbaric, but as you mentioned, is effective. [S1] I mean, it is, it, it, these days it's, it's much more clinically, uh, you know, safe. [S2] It doesn't look like one flu, the last scene in, uh, One Flew Over the Cuckoo's Nest. [S1] No, no, it doesn't. | 24.08 | 3.269145 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971410.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971411 | [S1] No, it doesn't. Now, it's a very clinically, uh, safe and stable procedure, but I, I, what, where I, I, I would say, yeah, it is, it is, it's got this almost medieval lack of, of specificity, even if the procedure is well controlled and, and clinically safe and stable. And it, it has a, it's not very specific. You're causing a brain-wide seizure. How, how could you be less specific than that? [S2] And we don't know the, the, the source of the relief. [S1] We don't, we don't know. [S2] Presumably, it's a dump of neuromodulators like dopamine and serotonin, but we don't really know. [S1] There certainly is | 29.24 | 3.137701 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971411.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971412 | [S1] The D4 antagonist? [S2] It has, basically every receptor. [S1] Does it really? [S2] Yeah, it acts, it's- [S1] Interesting. [S2] Yeah, it has prominent serotonin, prominent muscarinic, uh, certainly acts on dopamine receptors, but, uh, it ha- it causes, uh, you know, blood, uh, blood cell, uh, counts change. [S1] How do people feel? So if, if, if, um, if I were schizophrenic and, uh, I was getting auditory hallucinations, et cetera, and I took clozapine, um, what could I expect to feel? | 29.56 | 3.068755 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971412.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971413 | [S1] Well, uh, so you would notice, uh, side effects and you would notice resolution of, of symptoms both. And, and- [S2] So the voices would go away- [S1] Yeah. [S2] ... in, in a good situation. [S1] That's right. [S2] The voices would go away. [S1] That's right. [S2] But I would feel not good in my body. | 13.08 | 2.919598 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971413.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971414 | [S1] You would have, uh, you might have dizziness, you might have, uh, a drooling, you might have, uh, any number of, of, uh, uh, physical sensations that, that would be due to these off-target effects, the, the medication acting on these other receptors that- [S2] And I'm certainly not suggesting this, but what if somebody without schizophrenia took clozapine? [S1] Uh, they have the same side effects, presumably. Yeah. And so it would not be something that, that, uh, would recommend. [S2] Yeah. | 27.4 | 2.915615 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971414.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971415 | [S1] Oh. [S2] Do psychiatrists take the drugs that they prescribe? [S1] [LAUGHS] [S2] I just finished, uh, for the third time, uh, Oliver Sachs's, um- [S1] Yeah. [S2] ... autobiography, which is marvelous and, and I highly recommend to people. Um, he certainly took a lot of drugs, um, he, not as part of his professional role. [S1] Yeah. [S2] Um, but wh- | 18.44 | 2.963704 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971415.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971416 | [S1] The loss of pleasure in life that we call anhedonia, or the loss of, of motivation or, or, or energy to overcome challenges, active coping. Um, these are largely subserved, largely controlled by this circuit or that circuit or the cell that inhabits this other circuit. [S2] And we will know that because of the work done with channel ops. [S1] Exactly. [S2] Yeah, yeah, I agree. | 23.64 | 3.197877 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971416.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971417 | [S1] Exactly. [S2] Yeah, I agree. [S1] In ways that we, we never could have the confidence, uh, otherwise. Uh, and so we'll know that this is the circuit that, that underlies the symptom or its resolution. And then we'll get to understand these cells very deeply. Okay, these cells that are causal, that do matter, who are they? What are they, what's their wiring? What are the proteins that they make? What are the little, | 25.2 | 3.164766 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971417.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971418 | [S1] I see. So using channel opsins as a way to probe the circuitry and figure out the sites that are disrupted, what patterns of activity are required, and then by understanding the constituents of those cells, like what they express and what they make, then developing drugs that could target those cells, not necessarily putting light-inducing diodes into the brain or- [S2] Right. [S1] ... walking around with wire packs attached to our skull or something like that. [S2] Right. [S1] That's fantastic. And, and you, it, | 28.4 | 3.381967 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971418.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971419 | [S1] I think, uh, that is, in some ways it's already, uh, happening at the level of individual patients, uh, and- [S2] Here at Stanford. [S1] Yeah. [S2] Yeah. [S1] Uh, and, and, and more broadly in terms of, uh, new, new drugs, new multi-center, you know, uh, clinical trials that'll play out over the next, uh, few years. Um, and | 22.4 | 3.191501 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971419.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971420 | [S1] This is a, it's a pretty interesting branch of, of psychiatry. There's no question that people have been helped by the, the treatments. Uh, there's, you know, active, you know, debate over, you know, uh, what fraction of people who have these symptoms, uh, can or should be, be, uh, treated. [S2] This is typically Adderall or stimulants of some kind. [S1] Yeah, very | 20.64 | 3.313964 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971420.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971421 | [S1] ... of some kind. [S2] For example, the stimulants, that's right. Um, so ADHD, it's, as, as its name suggests, it has, uh, symptoms of, uh, it can have either a hyperactive, uh, state or an inattentive, uh, state. And, uh, those can be completely separate from each other. You could have a patient who, who, uh, effectively, uh, is, is not hyperactive at all but can't, uh, remain focused on the, the, what's going on around them. [S1] So their body can be stimulated. | 26.28 | 2.957818 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971421.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971422 | [S1] So their body can be still, but their, their mind is darting around. [S2] That's right. [S1] Or they can be very hyperactive with their body. [S2] Yeah, it happens both ways. [S1] Probably rarely is somebody hyperactive with their body, but their mind is still. Although I have to say, and this is a, a benevolent shout out to Bhutan Raska. Bhutan has an incredibly sharp and focused mind. [S2] Yeah. | 18.56 | 2.865019 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971422.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971423 | [S1] I, I, I sit, uh, much like this. You know, I, I, I try to have time in each day where I am, I'm literally, uh, sitting, uh, uh, almost in this, in this position, um, but, but without distraction and, and thinking. And, and it, so it's kind of a, it's almost meditative in some ways, except it's, it's not, uh, true meditation, but I, I am thinking while I'm not moving in, uh, the- [S2] You're struct- You're trying to structure your thoughts- [S1] Yeah. [S2] ... in that time. [S1] Yeah. [S2] Interesting. | 26.36 | 3.102997 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971423.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971424 | [S1] And then you can help patients. It's interesting that, that ADHD is one of those disorders where people are trying to work on quantitative EEG based diagnoses. And so there's some progress toward making a, a diagnosis with looking at particular externally detectable brain wave rhythms. [S2] So skull cap with some electrodes that don't penetrate the skull. [S1] That's right. [S2] And this can be done in an hour or two hour session. [S1] Yeah, that's right. [S2] It has to be done in a clinic, right? | 26.24 | 3.296776 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971424.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971425 | [S1] Any number of symptoms, but literally every, every psychiatric diagnosis requires that it has to be disrupting someone's social or occupational functioning. And these days, you know, checking your phone is pretty adaptive. That pretty much helps your social and occupational functioning. And so we can't, we can't make, we can't make it a psychiatric diagnosis. [S2] Interesting. [S1] At least in the world of today. [S2] Hmm. | 24.2 | 3.338557 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971425.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971426 | [S1] using visual tools to harness one's complete mental attention. When you do this practice of sitting and just thinking, sitting still and thinking, you said your eyes are open. Um, are you hearing your own verbal voice, although in your head? [S2] Yes. [S1] So you're actually in conversation with yourself. [S2] Yes. | 19.84 | 3.353695 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971426.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971427 | [S1] of, uh, you know, almost equations with words. [S2] Complete sentences? [S1] Complete sentences or complete-ish, anyway. Uh, mostly complete. And then, and when writing the book, everything about the writing, I would always, every sentence was always played out in my mind, listening for, for rhythm and timing. And, and, and I would obsess over exact placement of, of words to get the right rhythm of the spoken sentence in my, in my mind. | 27.64 | 2.866973 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971427.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971428 | [S1] Everything you just said is entirely consistent with my experience of you. [S2] [LAUGHS] [S1] And the way you go about, uh, everything. I have to ask, are, are your kids writers? Do they like books and words and, and poetry? I, I know one of your children is going on to a career in medicine and science. | 15.8 | 3.084949 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971428.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971429 | [S1] And then you developed a method so that we don't have to dissect brains. [S2] Yeah, that's right. [S1] As you mentioned, maybe tell us for a moment about clarity and for the, for, um, people who will probably never set foot into a laboratory, um, what an incredible, yet another incredible discover, discovery and development clarity is, uh, and why it helps us understand how the brain is structured. | 21.16 | 3.385727 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971429.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971430 | [S1] Literally glass clear brains. I've done this. I've taken a brain cleared with this method and looked at somebody through it and, uh, although you don't want to get it too close to your eye, you don't want to touch it to your own eye, but, um, and you can see direct, all the way through it. [S2] Yeah. [S1] Um, that's incredible for the, it raises an important question, which is again about the human brain. I mean, as somebody who essentially started out in neuroanatomy and then got into other things, I, | 27.08 | 3.246461 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971430.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971431 | [S1] I always am, um, bothered by the fact that we actually know very little about the microstructure of the human brain compared to the brains of other organisms. [S2] Yeah. [S1] And in thinking about understanding the circuitry and the, the piano, so to speak, that, and how to manipulate it in order to, um, relieve suffering. | 20.32 | 3.153128 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971431.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971432 | [S1] Yeah. [S2] Almost, uh, in your book you touch on this, um, and I, I will say is the most, um, precise and meaningful and eloquent description of what might be consciousness, this, this narrative toward the self or of the self and where it might reside. So in dissociative conditions, um, people are, are feeling as kind of an absence of a merge between mind and body. [S1] Right. [S2] Is that one way to describe it? [S1] That's right. That's right. [S2] And as I recall, this paper involved, um, an exploration of ketamine. | 28.32 | 3.36112 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971432.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971433 | causality. [S1] That's right. [S2] Right. [S1] Yeah. And so, and exactly. And so, with optogenetics, we were able to provide, uh, in animals without being on any, any ketamine or any, any drug, and we could cause the dissociative state by playing in a precise pattern of activity. And that, who would have thought you could do that? But there was a, a combined mouse and human paper. Likewise, likewise, we've been able to play in, uh, uh, you know, visual sensations into the brains of, of mice, uh, and, | 27.76 | 3.378433 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971433.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971434 | [S1] By observing which cells in the visual part of the brain, visual cortex, are naturally responsive to, for example, vertical bars instead of horizontal bars in the visual world, we could see which cells were normally reporting on vertical bars, and then we could use optogenetics to come and play in activity just to those cells. [S2] So these animals are not viewing anything. [S1] Not viewing. | 22.32 | 3.398104 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971434.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971435 | [S1] They certainly have helped the field of neuroscience and medicine, I should mention. And I know that people have various sensitivities about animal research, but the work that's been carried out in mice has been absolutely, um, vital and instructional for the, for treatment of human disease. [S2] That's right. [S1] Since we talked about, uh, dissociation, | 19.96 | 3.194298 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971435.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971436 | [S1] ... otherwise. But when you look at the clinical and experimental literature, what is your sort of top contour sense of how effective these tools are going to be for treating depression? And then if we have the time, we could talk about trauma and MDMA and some of that- [S2] Mm-hmm. [S1] ... work. | 14.84 | 3.370524 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971436.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971437 | [S1] But we have to see these as opportunities. We have to, uh, first of all, study in the laboratory, and I'm doing this, uh, here. Uh, you know, I, we have big, uh, we have safes with many interesting psychedelics that are all very carefully regulated. We get inspections from the DEA and so on. [S2] If anyone's hoping to find these labs, they exist in outer space, so you need a, you need to be on board one of the, one of the SpaceX, um, missions in order to access them. So don't try and come find them. [S1] Yeah. No, that's | 26.56 | 3.197989 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971437.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971438 | [S1] And this, as you described it, that sounds a lot like what I understand to be the hallmark feature of really good psychoanalysis, that the relationship between patient and therapist hopefully evolves to the point where, um, uh, these kinds of tests can be run within the context of that relationship and then exported- [S2] Yeah. [S1] ... to other relations. Is that- [S2] Exactly right. Yeah. [S1] And, and that probably, I'm assuming, is still the goal of really good psychiatry also. [S2] It's a part of, uh, it- [S1] Intimacy, really. | 27.52 | 3.330615 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971438.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971439 | [S1] central cord of, of optimism, that where we're headed is, uh, not just, um, possible, but very likely and, and better. [S2] Yeah. [S1] And, um, you know, it, are you an optimist? [S2] Yeah. | 14.24 | 2.980183 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971439.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971440 | uh, fellow brain explorer, uh, hits all the marks of- of rigor and is incredibly interesting, and there's a ton of storytelling. I don't want to give away too much about it, but people should definitely check out the book. Um, uh, are you active on social media if people, uh, want to follow you- [S1] Yeah. [S2] ... and- and connect with what you're doing now and- and going forward? [S1] Yeah, I have a- a Twitter, uh, that's where I- I mainly, uh, do, uh, exchange, you know, to tell people about things that are- are happening. Uh- [S2] We'll provide a link to it, but that's Karl Deisseroth, as I recall, with a K. [S1] That's right. [S2] Yeah. | 29.52 | 3.323317 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p27_BV1nL4y1N7TN_p27_m4-dialogue_0971440.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276155 | [S1] And they'll give you a year's supply of vitamin D3 and K2. Again, go to athleticgreens.com/Huberman to claim that special offer. And now my conversation with Dr. Lex Friedman. [S2] We meet again. [S1] We meet again. | 14.2 | 3.488799 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276155.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276156 | [S1] ... self-supervised, run around the Internet for a while, watch YouTube videos for millions and millions of hours, and th- without any supervision, be primed and ready to actually learn with very few examples once the human is able to show up. We th- we think of, uh, children in this way, human children, is your parents only give one or two examples- [S2] Mm-hmm. [S1] ... to teach a concept. | 22.64 | 3.46597 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276156.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276157 | [S1] The reinforcement learning successes of, uh, the systems that want it, uh, go at, uh, Alpha Zero, uh, that want it chess. [S2] What, oh, I see. That play games. [S1] Yeah. | 10.72 | 3.490871 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276157.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276158 | [S1] ... that play games. [S2] Got it. [S1] So the idea of self play is probably applies, uh, to other domains than just games, is a system that just plays against itself. And this is fascinating in all kinds of domains, but, uh, it knows nothing in the beginning, and the whole idea is it creates a bunch of mutations of itself and plays against those, uh, versions of itself. | 24.92 | 3.329102 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276158.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276159 | [S1] Uh, less and less human su- supervision of neural networks. And also, just to comment, and I'll shut up. [S2] No, please keep going. I'm, I'm learning. Uh, I have questions, but I'm learning, so please keep going. [S1] So the, to me, what's exciting is not the theory, it's always the application. One of the most exciting applications of artificial intelligence | 19.6 | 3.328396 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276159.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276160 | [S1] Specifically neural networks and machine learning is Tesla autopilot. So these are systems that are working in the real world. This isn't an academic exercise. This is human lives at stake. This is safety critical, uh- [S2] These are automated vehicles. Aut- autonomous- [S1] Semi-autonomous. We- we're gonna be- [S2] Okay. [S1] We- we've gone through wars on these topics, uh- [S2] Semi-autonomous vehicles. [S1] Semi-autonomous. So | 22.8 | 3.447285 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276160.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276161 | [S1] You know, we do this as kids, that, you know, you, you have- [S2] We do this as adults. [S1] We do this as adults. Exactly. But we learn really quickly. But th- the whole point, and this is the fascinating thing about driving, is you realize there's millions of edge cases. Uh, there's just, like, weird situations that you did not expect. And so the data engine process is you collect those edge cases, and then you go back to the drawing board and learn from them. | 25.84 | 3.31198 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276161.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276162 | [S1] Let it screw up just enough to figure out where the edge cases are, and then go back and learn from them, and then send out that new version, and keep updating that version. [S2] Is the updating done by humans? [S1] The annotation is done by humans. The, so you have to, the weird examples come back, the edge cases, and you have to label what actually happened in there. There's also some | 24.92 | 3.363105 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276162.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276163 | [S1] Uh, excellent theoretical neuroscientists like Larry Abbott and, um, uh, other, uh, I have colleagues certainly at Stanford as well, that people started paying attention to computational methods. But these terms, neural networks, computational methods, I actually didn't know that neural networ- works in deep learning were, uh, those have now become kind of synonymous. [S2] No, they were always, what, no, they were always the same thing. [S1] Interesting. [S2] It was, so- [S1] I'm a neuroscientist and I didn't know that. | 25.72 | 3.411302 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276163.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276164 | [S1] Oh, machines are going into the brain. Um, I, I have a couple questions, but one thing that I'm sort of fixated on that I find incredibly interesting is this example, uh, you gave of playing a game with a mutated version of yourself as a competitor. [S2] Yeah. [S1] I find that incredibly interesting as a, a kind of a parallel or a mirror for what happens when we try and learn as humans, which is we generate repetitions of whatever it is we're trying to learn, | 28.84 | 3.448502 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276164.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276165 | [S1] and we make errors, occasionally we succeed. I'm, in a simple example, for instance, of trying to throw bullseyes on a dart board. [S2] Yeah. [S1] I'm gonna have errors, errors, errors. I'll probably miss the dart board and maybe occasionally hit a bullseye, and I don't know exactly what I just did, right? But then, let's say I was playing darts against a version of myself where my, I was wearing a visual prism, like my visual, I had a visual defect. | 23.24 | 3.31291 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276165.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276166 | [S1] You learn certain things in that mode as well. You're saying that a machine can sort of mutate itself. Does the mutation always cause a deficiency that it needs to overcome? Because mutations in biology sometimes give us superpowers, right? Occasionally you'll get somebody who has better than 20/20 vision and they can see better than 99.9% of people out there. [S2] Mm-hmm. [S1] So | 20.56 | 3.449727 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276166.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276167 | [S1] When you talk about a machine playing a game against a mutated version of itself, is the mutation always a, what we would call a negative mutation, uh, or a, or an adaptive or a maladaptive mutation? [S2] No, you, you don't know until you get, uh, so you mutate first and then figure out, and they compete against each other. [S1] So you're evolving, you're, the machine gets to evolve itself in real time. [S2] Yeah. And I, I think of it, which would be exciting if you could actually do with humans. It's not just, so, | 28.8 | 3.288995 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276167.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276168 | [S1] And, uh, a machine currently has to have, uh, a hard-coded statement about why. [S2] It has to have a meaning of- [S1] Yeah. [S2] ... artificial intelligence-based life. [S1] Right. It can't... So, like, there's a lot of interesting explorations about, | 15.44 | 3.506406 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276168.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276169 | [S1] From an AI perspective, it's always looking to optimize the objective function. It, it derives, and we could talk about this a lot more, but in terms of the tools of machine learning today, it derives no pleasure from just the curiosity of like, I don't know, uh, discovery. [S2] So there's no dopamine for a machine. [S1] There's no dopamine. [S2] There's no reward system, chemical, or I guess electronic reward. | 27.4 | 3.526082 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276169.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276170 | [S1] Well, like Lisa Feldman-Barrow, who you've spoken with at least on Instagram, I hope you- [S2] I met her through you, yeah. [S1] Yeah, I hope you actually have her on this podcast. [S2] She's terrific. [S1] So, uh, she has a very, uh, it has to do with homeostasis, like that. | 17.24 | 3.353238 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276170.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276171 | [S1] to, uh- [S2] Why'd you fall down the stairs? [S1] Yeah, but I'm, not an engineering question, but almost like, uh, endearing question. Like, like, I'm looking for, if I fell and you and I were hanging out, I don't think you need an explanation exactly what were the dynamic, like, what was the under-actuated system problem here? Like, wh- [S2] Right. [S1] What, what, what was the texture of the floor or so on, or, or like, what was the- [S2] No, I wanna know what you're thinking. | 28.32 | 3.516208 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276171.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276172 | [S1] Okay. There's a million ways to explore this question. It's a fascinating one. So first of all, there's the question of what is life? Like how do you know something is a living form or not? And it's similar to the question of when does sort of a, maybe a cold computational system becomes a, um, well, we're already loading these words with a lot of meaning. [S2] Sure. [S1] Robot and machine. But | 24.44 | 3.430341 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276172.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276173 | [S1] in it. [S2] So we could, for instance, um, there could be a version of a robot, according to your, the definition that I think you're providing, where the robot, um, I, where I go to sleep at night and this robot goes and forages for information that it thinks I want to see loaded onto my desktop in the morning. There was no movement of that machine, there was no language, but it essentially has movement in cy- in cyberspace. [S1] Yeah. There's a distinction that I think is important | 27.76 | 3.400918 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276173.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276174 | [S1] History, humans are pretty dumb beings too, so. [S2] I, I would agree with that statement. [S1] [LAUGHS] So I, I tend to really want to explore this, uh, treating robots really as, uh... | 11.16 | 3.188947 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276174.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276175 | [S1] Whether or not you struggle between one another, you disagree. Like I was really struck by the fact that you said that robots saying no, I've never thought about a robot saying no to me. Um, but there it is. [S2] I look, I look forward to you being one of the first- [S1] [LAUGHS] [S2] ... people I send this robot to. | 14.04 | 3.552376 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276175.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276176 | [S1] Could you post a photo of you and the robot, like self, selfie with robot. [S2] Yeah. [S1] And then the robot sees that image and recognizes that was time spent. There was a, there were smiles or there were tears. [S2] Yeah. [S1] And create some sort of, um, metric of, of emotional depth in the relationship and update its behavior. So could it, it text you in the middle of the night and say, "Why haven't you texted me back?" | 24.92 | 3.357758 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276176.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276177 | [S1] ... inkling of understanding of each other. But I think that could be done more aggressively. You, you, uh, more efficiently. Like if you think of a great therapist. I think, I've never actually been to a therapist, but I'm a believer. I used to want to be a psychiatrist. [S2] Do Russians go to therapists? [S1] No, they don't. | 18.2 | 3.331968 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276177.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276178 | [S1] They don't. And, uh, if they do, the therapist don't live to tell the story. [S2] No. [S1] Uh, I, uh, I, I do believe in talk therapy, which, well, friendship is to me is, is talk therapy, or like, it's, it's like, it's, you don't necessarily need to talk. [S2] Mm-hmm. [S1] It's like just connecting, uh, through, in the space of ideas and the space of experiences. | 21.84 | 3.297168 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276178.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276179 | [S1] And it was really amazing. Very, very strong, uh, young girls, uh, and now, uh, young women. And what they said was incredible. They said what they really appreciated most about their mother, who was an amazing person, is all the unstructured time they spent together. [S2] Mm-hmm. [S1] So it wasn't the trips to the zoo. It wasn't, you know, oh, you know, she woke up at five in the morning and drove us to school. She did all those things too. She had a two-hour commute in each direction. It was incredible. Ran a lab, et cetera. But it was the unstructured time. | 29.36 | 3.4791 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276179.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276180 | [S1] I wonder if it's quite so unstructured. That's like calling this podcast unstructured time. [S2] Maybe what they meant was, um, it wasn't a big outing. It wasn't this. There was no specific goal, but a goal was created through the lack of a goal. Like where you just hang out and then you start playing, you know, thumb war and you end up playing thumb war for an hour. There, so it's, it's, the structure bec- emerges from lack of structure. [S1] No. | 25.12 | 3.392367 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276180.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276181 | [S1] We don't quite yet understand as humans what creates magical moments. I think this possible to optimize a lot of those things. And perhaps like podcasting is helping people discover that, like, uh, maybe the thing we want to optimize for isn't necessarily, uh, like some, uh, sexy, uh, like quick clips. Maybe we, what we want is long-form authenticity. [S2] Depth. [S1] Depth. | 24.52 | 3.522573 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276181.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276182 | [S1] And that magic could be shared by millions if it's, uh, brought to light. When I first met Spot from Boston Dynamics, I realized there's magic there that nobody else is seeing. [S2] Is the dog. [S1] Is the dog, sorry. The Spot is the four-legged, uh, robot from Boston Dynamics. Some people might have seen it. It's this yellow dog. And, um, | 23.4 | 3.463008 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276182.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276183 | [S1] ... this deep connection between humans and robots was always a dream. And so, for me, I'd love to see a world where there's every home has a robot, and not a robot that washes the dishes, uh, or a, or a sex robot, or, um, I don't know, I think of any kind of activity the robot can do, but more like a companion. [S2] A family member. [S1] A family member, the way a dog is. | 23.6 | 3.40207 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276183.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276184 | [S1] I think if you create AI systems that know each individual person, you're able to optimize for long-term growth, for long-term happiness. [S2] Of the individual? [S1] Of the individual, of the individual. And, uh, there's a lot of other things to say, which is the, in order for AI systems to, to learn, | 22.36 | 3.30608 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276184.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276185 | [S1] in order to establish trust, that they can trust you. And the second part of trust is transparency. Uh, whenever the data is used to make it very clear what it's being used for. And not clear in a lawyerly legal sense, but clear in a way that people really understand what it's used for. I believe when people have the ability to delete all their data and walk away and, uh, know how the data is being used, I think they'll stay. [S2] So the, the possibility of a clean breakup is actually what will keep people together. [S1] Yeah. | 29.68 | 3.505029 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276185.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276186 | [S1] It's interesting, I've heard the phrase, uh, from a semi-cynical friend that, uh, marriage is the leading cause of divorce, but now we've heard that divorce or the possibility of divorce could be the leading cause of marriage. [S2] Of a happy marriage. [S1] Good point. [S2] Of a happy marriage. So, yeah, so, but there's, there's a lot of details there, but the, the big dream is that connection between AI system and a human. And I haven't, uh, | 23.72 | 3.302299 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276186.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276187 | [S1] Um, two aspects to this dream. [S2] Mm-hmm. [S1] And I wanna make sure that I understand where they, um, connect if they do, or if these are independent streams. Uh, one was this, um, hypothetical robot family member, or some other form of robot that would allow people to experience the kind of, um, delight that you experienced, uh, many times and that you would like the world to- | 24.92 | 3.381738 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276187.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276188 | [S1] ... to parallel dreams. [S2] It's 100% the same thing. It's, it's, uh, difficult to kinda explain without going through details, but maybe one easy way to explain the way I think about social networks is to create an AI system that's yours, that's yours. It's not like Amazon Alexa that's centralized. [S1] I see. [S2] You own the data. It's, it's, it's like your little friend that becomes your representative on Twitter. | 25.16 | 3.308473 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276188.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276189 | [S1] I would love feedback from whatever this, uh, creature, uh, whatever, I can't, I don't know what to call it, um, as to, you know, maybe at the end of the week it would automatically unfollow some of the people that I followed because it realized through some re- really smart data about how I was feeling inside or how I was sleeping or something that, you know, that just wasn't good for me. But it might also put things and people in front of me that, uh, I ought to see. Is that- [S2] Mm-hmm. [S1] ... kind of- [S2] Yeah. [S1] ... a sliver of what this, what this looks like. | 29.36 | 3.431807 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276189.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276190 | [S1] Yeah. [S2] [LAUGHS] [S1] But you have this kind of intuition. I, I've, I think I pride myself in knowing what I'm good at because I, the reason I have that intuition is 'cause I think I'm very good at knowing all the things I suck at, which is basically everything. So like, whenever I notice, like, wait a minute, I, I'm kinda good at this, which is very rare for me. I think like that, that might be a ball of yarn worth pulling at. | 28.72 | 3.339018 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276190.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276191 | [S1] And the thing with, in terms of engineering, uh, systems that are able to interact with humans, I think I'm very good at that. And, um, 'cause you, we're talking about podcasting and so on. I don't know if I'm very good at podcasting. [S2] You're very good at podcasting. [S1] But I certainly don't, uh, I think maybe, uh, it is compelling to, to, for people to watch, um, a kind-hearted idiot struggle with this, uh, with this form. Maybe that's what, what, what's compelling. But in terms of, like, actual being a good engineer, | 29.32 | 3.474669 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276191.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276193 | [S1] Just- [S2] You like romantic movies. [S1] Yeah. [S2] No, not those- [S1] I'm just kidding. [S2] It's, it's a, well, I got so much shit from Rogan about, like, uh, what is it, the tango scene from, uh, "Scent of a Woman." But, yeah- [S1] Good scene. [S2] ... I find, uh, like a wom- There's nothing better than a woman in a red dress. Like a, a, a, you know, just, like, classy. [S1] You should move to Argentina, my friend. [S2] Yeah, I'm- [S1] You know, my father is- | 21.52 | 3.429661 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276193.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276194 | [S1] You know, my father is Argentine, and you know what he said when I, uh, when I went on your podcast for the first time? He said, "He dresses well." Because in Argentina, the men go to a wedding or a party or something. You know, in the US, they, by halfway through the night, 10 minutes in the night, all the jackets are off. [S2] Yeah. [S1] It looks like everyone's undressing for the party they just got dressed up for. [S2] Yeah. [S1] And he said, uh, and he said, "You know, I like the way he dresses." And then when I start, he was talking about you, and then when he, when I started my podcast, he said, "Why don't you wear a, a real suit like your friend Lex?" [S2] [laughs] [S1] [laughs] | 29.36 | 3.436563 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276194.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276195 | [S1] Oh, uh, in terms of business and in terms of systems. [S2] No, I'm talking about a specific robot. [S1] Oh, robot. So, okay, I should, I should mention a few things. So one is there's a startup where there's an idea where I hope millions of people can use. [S2] Mm-hmm. | 17.72 | 3.473807 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276195.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276196 | [S1] ... that, as opposed to people being scared of robots, they can be, they can still be scared, but also excited. Like, see the, the dark side, the beautiful side, the magic of what it means to bring, uh, you know, f- for a machine to become a robot. [S2] Mm-hmm. [S1] I w- I want to, uh, inspire people with that. But that's less, it- it's interesting because, um, | 22.16 | 3.436532 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276196.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276197 | [S1] I think the big impact in terms of the dream does not have to do with embodied AI. So it does not need to have a body. I think, uh, the refrigerator is enough that, that for an AI system just to have a voice and to hear you, that's enough for loneliness. Uh, the embodiment is just, um- [S2] By embodiment you mean the physical structure. [S1] Physical instantiation of intelligence. So it's a, a legged robot or even just the thing, um, | 28.72 | 3.478873 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276197.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276198 | [S1] I love this, um, desire to share the delight of an interaction with a robot. And as you describe it, I actually, I find myself starting to crave that because, uh, we all have those elements from childhood where, or from adulthood where we experience something, we want other people- [S2] Yeah. [S1] ... to feel that. And I think that you're right. I think a lot of people are scared of AI. I think a lot of people are scared of robots. My only experience in, of a robotic | 24.52 | 3.408891 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276198.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276199 | [S1] Like thing, uh, is my Roomba vacuum, where it goes about, actually was pretty good at picking up Costello's hair when he was shed, uh, and then, um, and I was grateful for it. But then when it would, when I was on a call or something and it would get caught on a, on a wire or something, I would find myself getting upset with the Roomba in that moment. I'm like, "What are you doing?" You know, and I, and obviously it's just doing what it does. [S2] Yeah. [S1] But, but that's a kind of, um, mostly positive but slightly negative interaction. | 27.16 | 3.434916 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276199.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276200 | [S1] Um, but what you're describing has so much more richness and layers of detail that I can only imagine what those relationships are like. [S2] Well, there's a few, just a quick comment. So I've had, they're not currently in Boston, and I have a bunch of Roombas on my robot. And I did this experiment- [S1] Wait, how many Roombas? [S2] [LAUGHS] [S1] Sounds like a fleet of Roombas. [S2] Yeah, so I, uh, probably seven or eight. [S1] Wow, that's a lot of Roombas. [S2] So- [S1] This place is very clean. [S2] [LAUGHS] | 27.6 | 3.435147 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276200.mp3 | [
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bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276201 | [S1] I meant to do like a YouTube video on it, but then it just seemed very cruel. [S2] Did any Roomba rights activists come out? [S1] Yeah, the, the, the, like, I, I think if I release that video, I think it's going to make me look insane, which I, I know people know I'm already insane. [S2] Now you, now you have to release the video. [S1] [LAUGHS] | 17.96 | 3.209774 | 24,000 | audio/en/bilibili_data_75123309_BV1nL4y1N7TN_p30_BV1nL4y1N7TN_p30_m4-dialogue_0276201.mp3 | [
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