1 00:00:00,200 --> 00:00:04,000 Speaker 1: Hello the Internet, and welcome to this episode of David 2 00:00:04,160 --> 00:00:11,039 Speaker 1: back trend massive um the timely reference to the world, 3 00:00:10,520 --> 00:00:12,520 Speaker 1: and we've done that. I was one of our early 4 00:00:12,520 --> 00:00:15,680 Speaker 1: ones too, David. I think we did massive. I think 5 00:00:15,680 --> 00:00:18,080 Speaker 1: we did maybe, oh May it was trend it like 6 00:00:18,160 --> 00:00:23,160 Speaker 1: trend it like back on a probably massive massive up 7 00:00:23,200 --> 00:00:30,080 Speaker 1: the Three Lions. Huh what a great what a great 8 00:00:30,120 --> 00:00:33,760 Speaker 1: ad lib from one of our great rappers. Anyways, I'm 9 00:00:33,920 --> 00:00:38,040 Speaker 1: jack that Miles. Uh, these are some things that are trending. 10 00:00:38,200 --> 00:00:41,880 Speaker 1: I mean, first of all, Miles, you were out this morning. 11 00:00:42,080 --> 00:00:45,960 Speaker 1: So we did the water smally a episode. Oh yes, yes, 12 00:00:46,280 --> 00:00:48,080 Speaker 1: what was the best? What got best? Top water? We 13 00:00:48,080 --> 00:00:52,840 Speaker 1: didn't really like rank by different regions, but San Francisco 14 00:00:52,960 --> 00:00:56,160 Speaker 1: is highly rated. New York City has been highly rated. 15 00:00:57,080 --> 00:01:00,880 Speaker 1: L A is fine because just drinking all the water 16 00:01:01,000 --> 00:01:05,800 Speaker 1: from northern California. But tapwater came out on top. It 17 00:01:05,840 --> 00:01:08,720 Speaker 1: does well and taste tests not filtered tapwater. By the way, 18 00:01:08,720 --> 00:01:11,800 Speaker 1: filtered tapwater doesn't do as well because it filters out 19 00:01:11,840 --> 00:01:15,480 Speaker 1: all the minerals, and then when you have pure water, 20 00:01:15,600 --> 00:01:19,320 Speaker 1: it leaches the metals out of your mouth, which is 21 00:01:19,680 --> 00:01:23,200 Speaker 1: kind of growing. Is that filtered or distilled water distilled, 22 00:01:23,480 --> 00:01:26,279 Speaker 1: but they were saying that filtered water also just tastes 23 00:01:26,319 --> 00:01:30,320 Speaker 1: like flat and like what yum. So, I honestly, Bay 24 00:01:30,360 --> 00:01:34,080 Speaker 1: Area tap water is my favorite. That's just like evy 25 00:01:34,200 --> 00:01:37,000 Speaker 1: on to me. Yeah, especially like when it's cold outside. 26 00:01:37,040 --> 00:01:39,440 Speaker 1: The types are cold, You're like whoa, And I think 27 00:01:39,440 --> 00:01:41,960 Speaker 1: that just shows I'm just so used to drinking from 28 00:01:42,040 --> 00:01:45,679 Speaker 1: the fucking mangetta in l A, just eating that, drinking 29 00:01:45,720 --> 00:01:50,440 Speaker 1: that concrete hose. Water heavy On was the top in 30 00:01:50,560 --> 00:01:53,920 Speaker 1: one of the blind taste test rankings, and it was 31 00:01:53,960 --> 00:01:58,120 Speaker 1: also our guest's top water was a vy On. I've 32 00:01:58,160 --> 00:02:00,920 Speaker 1: I've always thought van tastes like nothing thing, which I 33 00:02:00,920 --> 00:02:02,680 Speaker 1: guess is a sign of a good water. It just 34 00:02:02,720 --> 00:02:07,000 Speaker 1: tastes like there's nothing but water in there, and that's 35 00:02:07,040 --> 00:02:08,760 Speaker 1: not what I look for in my water. I look 36 00:02:08,840 --> 00:02:13,320 Speaker 1: for a salty minerality, and that's why Dosani is my 37 00:02:13,400 --> 00:02:16,000 Speaker 1: number one. Do you really mean that ship? I really 38 00:02:16,000 --> 00:02:20,360 Speaker 1: mean that ship. That's if if I have my choice 39 00:02:20,960 --> 00:02:24,400 Speaker 1: of water, I'm I'm going to say because I think 40 00:02:24,400 --> 00:02:26,280 Speaker 1: it was the first bottled water I had, and it 41 00:02:26,320 --> 00:02:30,040 Speaker 1: was just like a new concept of like water that's 42 00:02:30,080 --> 00:02:33,880 Speaker 1: been refrigerated and cold and so I just it just 43 00:02:33,919 --> 00:02:38,000 Speaker 1: tastes refreshing to me. I think because of my experience 44 00:02:38,120 --> 00:02:40,880 Speaker 1: broken brain. Yeah, I mean I remember one of the 45 00:02:40,919 --> 00:02:45,000 Speaker 1: first bottled waters I had was Aqua, one of the 46 00:02:45,080 --> 00:02:51,280 Speaker 1: most fantastic waters from the Great UK. Anyway, Uh, shout 47 00:02:51,320 --> 00:02:54,919 Speaker 1: out all your favorite waters. And he said somebody even 48 00:02:55,000 --> 00:02:59,040 Speaker 1: had a fucking experience with how nobody's working with say, yeah, yeah, 49 00:02:59,120 --> 00:03:01,200 Speaker 1: one of one of our lists. There's Nick Wiguella twee 50 00:03:01,240 --> 00:03:03,959 Speaker 1: did at Jack O'Brien. I run a vending machine company 51 00:03:04,040 --> 00:03:08,120 Speaker 1: in southeastern Michigan, and I literally cannot sell de Sahni. 52 00:03:08,520 --> 00:03:13,520 Speaker 1: The bottle will expire before someone buys it, So more 53 00:03:13,800 --> 00:03:16,200 Speaker 1: sny for me. That's so funny. We're the we have 54 00:03:16,240 --> 00:03:22,080 Speaker 1: the weirdest takes between me and my Saggy Fries and you. Yeah, man, 55 00:03:22,480 --> 00:03:26,640 Speaker 1: the apologies, man, are fucking nobody's gonna listen to the show. Yeah, 56 00:03:26,639 --> 00:03:28,480 Speaker 1: this is not one where I'm like trying to get 57 00:03:28,520 --> 00:03:33,720 Speaker 1: people excited. This is one where I'm and apologizing. I 58 00:03:33,800 --> 00:03:36,680 Speaker 1: stand by Floppy Fries. No, I know, you do. It's 59 00:03:36,720 --> 00:03:40,000 Speaker 1: just a mistake. Yeah, I know. And then subsequently, a 60 00:03:40,000 --> 00:03:41,560 Speaker 1: lot of the people that I love in my life 61 00:03:41,560 --> 00:03:44,360 Speaker 1: have left me because of it. So it's a cold 62 00:03:44,440 --> 00:03:52,520 Speaker 1: take a ice cold, refreshing, crisp minerals. Take Twitter hate speech. 63 00:03:52,920 --> 00:03:56,000 Speaker 1: How's that going? Well, it's on the rise. It's something 64 00:03:56,040 --> 00:04:00,920 Speaker 1: like every category anti Semitism, homophobic, hate speech. Uh, and 65 00:04:00,960 --> 00:04:04,040 Speaker 1: then BeO, like, here's a little tidbit. Before Elon bought Twitter, 66 00:04:04,360 --> 00:04:07,160 Speaker 1: slurs against black Americans showed up on the site an 67 00:04:07,160 --> 00:04:10,760 Speaker 1: average of twelve eighty two times a day. After he 68 00:04:10,800 --> 00:04:13,880 Speaker 1: became the owner, they jumped to three thousand, eight hundred 69 00:04:13,920 --> 00:04:17,680 Speaker 1: seventies six times. But I mean, I think, yeah, we 70 00:04:17,760 --> 00:04:20,120 Speaker 1: need that. We knew that because free speech is just 71 00:04:20,240 --> 00:04:26,200 Speaker 1: code for racist online. So just unbanning like like wouldn't 72 00:04:26,200 --> 00:04:32,080 Speaker 1: there They're like thousands of accounts that they unbanned that 73 00:04:32,720 --> 00:04:36,120 Speaker 1: we're banned specifically for this ship. There's also plenty of 74 00:04:36,120 --> 00:04:42,080 Speaker 1: accounts that had managed to stay unbanned despite repeated Yeah. 75 00:04:42,160 --> 00:04:45,200 Speaker 1: And it's funny because then then yesterday, like so many 76 00:04:45,240 --> 00:04:48,440 Speaker 1: of these fucking Elon fan people were like, why did 77 00:04:48,440 --> 00:04:51,920 Speaker 1: you why did you suspend Kanye's account for posting swaz 78 00:04:52,040 --> 00:04:54,400 Speaker 1: because I thought this was free speech? And Elon was 79 00:04:54,440 --> 00:04:58,760 Speaker 1: like I tried did he respond and be like, uh, 80 00:04:59,200 --> 00:05:03,600 Speaker 1: He's like I really it did try. Unfortunately he's inciting 81 00:05:03,720 --> 00:05:07,719 Speaker 1: violence and cannot really did try, and you're like, full, 82 00:05:08,640 --> 00:05:11,080 Speaker 1: you can just say the company's broke as funck and 83 00:05:11,080 --> 00:05:13,200 Speaker 1: you're trying to save face while trying to also tell 84 00:05:13,279 --> 00:05:16,840 Speaker 1: advertisers like it can be okay again. Yeah, there's no way. 85 00:05:16,880 --> 00:05:19,960 Speaker 1: It was his idea to band Kanye's account for posting spasticas. 86 00:05:20,360 --> 00:05:24,440 Speaker 1: Speaking of Kanye, we might as well mention that he 87 00:05:25,360 --> 00:05:28,920 Speaker 1: said he really likes Hitler multiple times on the Alex 88 00:05:29,000 --> 00:05:34,400 Speaker 1: Jones podcast, and uh, just yeah, yeah, then he got 89 00:05:34,600 --> 00:05:36,960 Speaker 1: he just went on a whole you know that he's 90 00:05:38,200 --> 00:05:39,680 Speaker 1: I don't know why we're talking about him, but well, 91 00:05:39,680 --> 00:05:41,280 Speaker 1: the reason we're talking about him is because the other 92 00:05:41,279 --> 00:05:43,839 Speaker 1: reason he was trending, aside from the Twitter suspension, the 93 00:05:43,839 --> 00:05:47,120 Speaker 1: anti semitism, is that he then last like the night 94 00:05:47,200 --> 00:05:49,880 Speaker 1: last night was like, oh yeah, I caught Kim with 95 00:05:49,960 --> 00:05:53,960 Speaker 1: Chris Paul Good one last break through the window. Yeah, 96 00:05:54,080 --> 00:05:56,640 Speaker 1: and everyone was like, what the funk? And most people like, yo, 97 00:05:56,839 --> 00:05:59,640 Speaker 1: he's trying to throw you off the scent of the 98 00:05:59,680 --> 00:06:03,040 Speaker 1: anti semitism. I was so horrific that he's like and 99 00:06:03,279 --> 00:06:07,800 Speaker 1: here's some celebrity t I'm out. Yeah, no, idea if 100 00:06:07,800 --> 00:06:11,000 Speaker 1: it's true or not. But of all the people who 101 00:06:11,080 --> 00:06:16,080 Speaker 1: you could be having to refute a like a statement by, 102 00:06:16,120 --> 00:06:20,640 Speaker 1: I feel like that's probably the number one person who 103 00:06:20,839 --> 00:06:24,960 Speaker 1: is like number one most untrustworthy person to to be 104 00:06:25,040 --> 00:06:28,679 Speaker 1: in a he said. He said argument with is Kanye 105 00:06:28,800 --> 00:06:31,920 Speaker 1: West the day that he was like, I love Hitler 106 00:06:31,960 --> 00:06:36,159 Speaker 1: and post swastika, but you know people also love to 107 00:06:36,160 --> 00:06:42,159 Speaker 1: hate Chris Paul and the memes were pretty funny. Yeah, 108 00:06:42,360 --> 00:06:45,560 Speaker 1: all right, let's take a quick break. We'll be right back. 109 00:06:55,640 --> 00:07:00,640 Speaker 1: And we're back, and Steph Curry is back because of 110 00:07:00,680 --> 00:07:06,320 Speaker 1: an anecdote from one of his workouts, another an unnamed 111 00:07:06,640 --> 00:07:13,800 Speaker 1: NBA player trying to do workout, yeah, alongside him, and 112 00:07:13,880 --> 00:07:18,760 Speaker 1: howd it go? He collapsed after five minutes puking. According 113 00:07:18,800 --> 00:07:23,440 Speaker 1: to Stuff's trainer Brandon Pain, I think this whole discussion 114 00:07:23,480 --> 00:07:27,160 Speaker 1: is really interesting because his uh Steph Curry, who is 115 00:07:27,400 --> 00:07:29,560 Speaker 1: you know, one of the greatest shooters of all time, 116 00:07:29,600 --> 00:07:33,200 Speaker 1: if not the greatest, uh, hearing about what his workouts 117 00:07:33,240 --> 00:07:38,679 Speaker 1: consist of, I think help regular folks understand how fucking 118 00:07:38,720 --> 00:07:43,440 Speaker 1: intense like these athletes train. One drill is called they 119 00:07:43,600 --> 00:07:46,640 Speaker 1: he runs cornered a corner like on the basketball basketball 120 00:07:46,680 --> 00:07:50,560 Speaker 1: court trying to make six threes in fifty five seconds. 121 00:07:50,800 --> 00:07:53,280 Speaker 1: If he fails, he does it again because his whole 122 00:07:53,320 --> 00:07:56,360 Speaker 1: trainer's ideas he has to be able to shoot on 123 00:07:56,440 --> 00:07:59,160 Speaker 1: tired legs. He has to like be able to just 124 00:07:59,240 --> 00:08:02,360 Speaker 1: constantly be in motion because of the Warriors offense and 125 00:08:02,440 --> 00:08:05,560 Speaker 1: not be slowed down by that one bit. And you 126 00:08:05,560 --> 00:08:08,760 Speaker 1: look at all these things, I'm like, I couldn't even 127 00:08:08,800 --> 00:08:12,160 Speaker 1: make six threes and fifty five minutes, let alone like 128 00:08:12,200 --> 00:08:14,080 Speaker 1: being like all right from the top, because you know, 129 00:08:14,120 --> 00:08:16,600 Speaker 1: those kinds of exercises are meant to just drain the 130 00:08:16,760 --> 00:08:19,400 Speaker 1: ship out of you, so like you'll never be as 131 00:08:19,440 --> 00:08:21,800 Speaker 1: tired as you are then when you're practicing. It's kind 132 00:08:21,800 --> 00:08:25,760 Speaker 1: of the mentality of these athletes. And yeah, yeah, there's 133 00:08:25,800 --> 00:08:28,640 Speaker 1: this one anecdote from this reminds me of like when 134 00:08:28,680 --> 00:08:31,880 Speaker 1: I was young, that you would always hear about Jerry 135 00:08:31,920 --> 00:08:35,960 Speaker 1: Rice's workouts and how like Jerry Rice like would run 136 00:08:36,080 --> 00:08:38,720 Speaker 1: up mountains with like weights on his back, and like 137 00:08:38,840 --> 00:08:40,880 Speaker 1: anybody who tried to hang with him would be like 138 00:08:41,640 --> 00:08:45,600 Speaker 1: injured for a week. Just the hardest working person and 139 00:08:45,600 --> 00:08:48,520 Speaker 1: he's like one of the greatest professional athletes of all time. 140 00:08:48,920 --> 00:08:51,440 Speaker 1: But yeah, there was this anecdote that stuck with me 141 00:08:51,520 --> 00:08:53,200 Speaker 1: from a couple of years back where they were talking 142 00:08:53,200 --> 00:08:57,680 Speaker 1: about how he really monitors his heart rate because he 143 00:08:57,760 --> 00:09:00,480 Speaker 1: knows that he shoots a higher percentage when his heart 144 00:09:00,559 --> 00:09:03,480 Speaker 1: rate is in this range versus like a higher range. 145 00:09:03,920 --> 00:09:06,839 Speaker 1: And so there's a sanecdote from one of his workouts 146 00:09:06,880 --> 00:09:08,840 Speaker 1: that once he's out of breath at the end of 147 00:09:08,880 --> 00:09:12,079 Speaker 1: most workouts, Curry lies on his back and his personal 148 00:09:12,120 --> 00:09:15,800 Speaker 1: trainer places sandbag waits below his rib cage in order 149 00:09:15,840 --> 00:09:20,199 Speaker 1: to overload and train Curry's diaphragm so that he so 150 00:09:20,280 --> 00:09:25,760 Speaker 1: that his breathing like doesn't keeping bag waits where like 151 00:09:25,920 --> 00:09:30,720 Speaker 1: just under like just yeah, is this like Giles Corey 152 00:09:30,760 --> 00:09:34,200 Speaker 1: and the fucking Crucible just putting stones on like he's 153 00:09:34,200 --> 00:09:41,200 Speaker 1: like more more, um. Yeah. But it's like a level 154 00:09:41,559 --> 00:09:46,720 Speaker 1: of scientific precision and like attention to detail in his workouts, 155 00:09:46,760 --> 00:09:49,920 Speaker 1: which I mean people go to the games when he 156 00:09:49,960 --> 00:09:53,559 Speaker 1: comes to town, people show up two hours earlier to 157 00:09:53,679 --> 00:09:56,040 Speaker 1: just watch him work out before a game. Like that's 158 00:09:56,360 --> 00:09:58,240 Speaker 1: one of the coolest things you can see in the 159 00:09:58,360 --> 00:10:02,000 Speaker 1: NBA is just like how hard this dude goes in workouts. 160 00:10:02,320 --> 00:10:05,240 Speaker 1: There's also Another thing from Anthony Edwards when he was 161 00:10:05,280 --> 00:10:07,840 Speaker 1: promoting that movie Hustle, he said he was when he 162 00:10:07,880 --> 00:10:09,800 Speaker 1: was like, he did a pre draft workout with the 163 00:10:09,840 --> 00:10:12,400 Speaker 1: Warriors and he was doing one of these Curry drills. 164 00:10:12,400 --> 00:10:14,320 Speaker 1: He said, quote, I'm doing this drill, they say, stephie 165 00:10:14,320 --> 00:10:17,280 Speaker 1: doing I'm running, touching the line, Shoot, running touching the line. Shoot, 166 00:10:17,320 --> 00:10:19,160 Speaker 1: you've got to You've got to make five in a row. 167 00:10:19,240 --> 00:10:20,920 Speaker 1: I couldn't do it. I'm too tired. I'm like, man, 168 00:10:20,920 --> 00:10:22,920 Speaker 1: it's just too much. But I'm not saying this, So 169 00:10:22,960 --> 00:10:25,760 Speaker 1: I'm just jogging. After the workout, Steve, Steve Kirk comes 170 00:10:25,760 --> 00:10:28,360 Speaker 1: to me like, you can't go any faster. I'm like, 171 00:10:28,480 --> 00:10:30,240 Speaker 1: I thought I was going pretty fast. He was like, 172 00:10:30,280 --> 00:10:33,400 Speaker 1: not do it again. And then they got through it. 173 00:10:33,440 --> 00:10:35,440 Speaker 1: He said, now I'm trying to sprint. I'm looking all crazy, 174 00:10:35,440 --> 00:10:37,160 Speaker 1: missing left, missing right. So then we go to dinner 175 00:10:37,200 --> 00:10:38,760 Speaker 1: and he's telling me, man, if we're going to draft 176 00:10:38,800 --> 00:10:40,839 Speaker 1: you at number two, you've got to be a hard worker. 177 00:10:40,880 --> 00:10:44,880 Speaker 1: You ain't working hard enough. Yeah, So that's why his 178 00:10:44,960 --> 00:10:47,839 Speaker 1: trainers like, that's why Steph Curry is like, he continues 179 00:10:47,920 --> 00:10:50,679 Speaker 1: to get like, you know, you're like, oh, man, he's 180 00:10:50,400 --> 00:10:53,120 Speaker 1: he's past it, like he's getting like we talked about 181 00:10:53,120 --> 00:10:56,600 Speaker 1: on boosts, like he's getting better. Yeah, he's shooting like 182 00:10:57,600 --> 00:10:59,920 Speaker 1: at least as well, if not better than he did 183 00:11:00,440 --> 00:11:03,880 Speaker 1: in his unanimous m v P season, like you know, 184 00:11:04,000 --> 00:11:06,760 Speaker 1: four years ago, and he's he's at that age when 185 00:11:06,760 --> 00:11:09,240 Speaker 1: you're supposed to slow down. But he just has a 186 00:11:09,320 --> 00:11:12,120 Speaker 1: wild workout, which I think, like you wouldn't necessarily look 187 00:11:12,160 --> 00:11:15,000 Speaker 1: at him and be like, this person is the hardest working, 188 00:11:15,120 --> 00:11:17,680 Speaker 1: like they must be in the gym constantly, because his 189 00:11:17,760 --> 00:11:22,040 Speaker 1: body looks actually more like another person's body, like that 190 00:11:22,080 --> 00:11:27,200 Speaker 1: you would see on the street, because yeah, yeah, but 191 00:11:27,280 --> 00:11:32,200 Speaker 1: it's his His cardiovascular shape is just wild to the 192 00:11:32,200 --> 00:11:34,559 Speaker 1: point that he has the ability to just like slow 193 00:11:34,760 --> 00:11:38,720 Speaker 1: his heart rate down like a fucking monk, yeah, or 194 00:11:38,760 --> 00:11:44,560 Speaker 1: like a fucking like predatory cat. Yeah. Oh, I I 195 00:11:44,559 --> 00:11:46,679 Speaker 1: found a cool thing on dreams. This is not trending, 196 00:11:46,720 --> 00:11:50,720 Speaker 1: but it's just a fun thing. Yeah. Yeah. Have you 197 00:11:50,760 --> 00:11:55,600 Speaker 1: heard this song No Dreams by Fleetwood Mac. People have 198 00:11:55,640 --> 00:12:03,720 Speaker 1: heard this all right. Yeah. So we were talking before 199 00:12:03,760 --> 00:12:07,280 Speaker 1: about how like by paying attention to dreams, like you 200 00:12:07,320 --> 00:12:11,320 Speaker 1: get access to this weird you know, the unconscious mind 201 00:12:11,679 --> 00:12:16,760 Speaker 1: is massive and powerful and you know what, like better 202 00:12:16,800 --> 00:12:20,280 Speaker 1: than any supercomputer we have, but like we only have 203 00:12:20,480 --> 00:12:23,000 Speaker 1: access to like a pinhole, Like our conscious mind is 204 00:12:23,040 --> 00:12:26,120 Speaker 1: just a pinhole look into what is going on in 205 00:12:26,200 --> 00:12:28,480 Speaker 1: our unconscious minds and then it kind of gets opened up. 206 00:12:28,520 --> 00:12:32,200 Speaker 1: If you, you know, can remember your dreams or if 207 00:12:32,280 --> 00:12:35,120 Speaker 1: you you know, I think some people use psychedelics, but 208 00:12:35,240 --> 00:12:39,080 Speaker 1: dreams dreams also work just as well. And so we 209 00:12:39,080 --> 00:12:42,680 Speaker 1: were talking about anecdotes of like scientists who had like 210 00:12:42,720 --> 00:12:46,680 Speaker 1: a breakthrough discovery by like working on a problem, falling 211 00:12:46,720 --> 00:12:50,120 Speaker 1: asleep like in the lab, and then waking up, like 212 00:12:50,400 --> 00:12:53,000 Speaker 1: one of them was trying to figure out the model 213 00:12:53,400 --> 00:12:58,720 Speaker 1: for a molecule, like how all the different atoms fit together, 214 00:12:58,960 --> 00:13:01,959 Speaker 1: and went to asleep and had a dream where a 215 00:13:02,040 --> 00:13:04,839 Speaker 1: snake was eating its tail, like a snake made out 216 00:13:04,920 --> 00:13:07,000 Speaker 1: of these atoms was eating its tail, and woke up 217 00:13:07,040 --> 00:13:09,840 Speaker 1: and realized it was like a ring shape of the atoms. 218 00:13:09,880 --> 00:13:13,280 Speaker 1: But anyways, so I found the best example of this, 219 00:13:13,280 --> 00:13:18,920 Speaker 1: this dude whose name was Sarnavasa Ramana Jean. He died 220 00:13:18,960 --> 00:13:24,360 Speaker 1: in he is like that. They interviewed this Cambridge University 221 00:13:24,400 --> 00:13:26,840 Speaker 1: mathematician who was like a household name in his day 222 00:13:26,880 --> 00:13:30,400 Speaker 1: godfree h Hardy, who had worked with him before he 223 00:13:30,440 --> 00:13:34,880 Speaker 1: passed Romana Jean, and he was like, if mathematical talent 224 00:13:35,040 --> 00:13:37,920 Speaker 1: was rated on a scale from zero to one hundred, 225 00:13:38,400 --> 00:13:41,040 Speaker 1: I would be a five, and this dude would be 226 00:13:41,040 --> 00:13:44,439 Speaker 1: a one hundred. Like he was just he was self taught, 227 00:13:46,120 --> 00:13:50,600 Speaker 1: training just naturally, like was off the charts, like was 228 00:13:50,679 --> 00:13:54,360 Speaker 1: creating all these proofs and all these like hypotheses that 229 00:13:54,880 --> 00:13:58,600 Speaker 1: it took people like centuries to like catch up to him, 230 00:13:58,600 --> 00:14:00,880 Speaker 1: and they were like, oh shift, he was right about everything. 231 00:14:01,400 --> 00:14:05,160 Speaker 1: Um And he died at thirty two. But apparently his 232 00:14:05,800 --> 00:14:09,840 Speaker 1: method was this is a quote from him. While asleep, 233 00:14:09,920 --> 00:14:12,400 Speaker 1: I had an unusual experience. There was a red screen 234 00:14:12,480 --> 00:14:15,400 Speaker 1: formed by flowing blood. As it were, I was observing it. 235 00:14:15,520 --> 00:14:18,240 Speaker 1: Suddenly a hand began to write on the screen. I 236 00:14:18,360 --> 00:14:22,600 Speaker 1: became all attention. That hand wrote a number of elliptical integrals. 237 00:14:22,880 --> 00:14:24,960 Speaker 1: They stuck to my mind. As soon as I woke up, 238 00:14:25,000 --> 00:14:27,760 Speaker 1: I committed them to writing, and like that was apparently 239 00:14:27,880 --> 00:14:30,720 Speaker 1: part like his method. A lot of them were things 240 00:14:30,800 --> 00:14:33,600 Speaker 1: that just came to him. Like he he said that 241 00:14:33,680 --> 00:14:37,680 Speaker 1: the Hindu goddess Thema Jerry would appear in his dreams 242 00:14:37,680 --> 00:14:40,640 Speaker 1: showing him mathematical proofs, proofs and then he would just 243 00:14:40,680 --> 00:14:42,680 Speaker 1: write them down when he woke up. And then you 244 00:14:42,720 --> 00:14:45,240 Speaker 1: hear that on in the arts as well, like people 245 00:14:45,720 --> 00:14:49,120 Speaker 1: saying that, like you know, but not just James Cameron, 246 00:14:49,120 --> 00:14:51,400 Speaker 1: but I think like Cormac McCarthy a lot of his ship, 247 00:14:51,560 --> 00:14:53,840 Speaker 1: like he says, it's just like dictated to him by 248 00:14:53,840 --> 00:14:57,400 Speaker 1: his unconscious mind, and he's not like there there was 249 00:14:57,440 --> 00:15:01,040 Speaker 1: nothing to suggest like that he actually had some kind 250 00:15:01,080 --> 00:15:03,520 Speaker 1: of formal training and it was just pretending, like you know, 251 00:15:03,520 --> 00:15:06,080 Speaker 1: because like there there were people who like claim that 252 00:15:06,160 --> 00:15:08,680 Speaker 1: kind of ability sometimes and they're like, oh, they were 253 00:15:08,760 --> 00:15:11,560 Speaker 1: cheating or something, or they were swindling. Like this this guy, 254 00:15:11,520 --> 00:15:13,200 Speaker 1: I think he just came out of left field in 255 00:15:13,320 --> 00:15:16,359 Speaker 1: terms of like he wasn't like somebody that the mathematical 256 00:15:16,480 --> 00:15:20,400 Speaker 1: establishment had their eye on. But I'm sure he had training. 257 00:15:20,480 --> 00:15:23,320 Speaker 1: It's not like he was had a kindergarten education then 258 00:15:23,320 --> 00:15:25,800 Speaker 1: went to sleep and his brain started cooking these things up. 259 00:15:25,880 --> 00:15:29,760 Speaker 1: He was a math genius and this was just his method. 260 00:15:30,040 --> 00:15:33,480 Speaker 1: But like the untrained part was just that like he 261 00:15:33,520 --> 00:15:37,040 Speaker 1: didn't go through he was just so naturally talented that 262 00:15:37,120 --> 00:15:40,480 Speaker 1: he came at it and was just able to create 263 00:15:40,600 --> 00:15:45,200 Speaker 1: things that like we're still using today, like hundreds of 264 00:15:45,280 --> 00:15:50,920 Speaker 1: years later, all right, and then chat GPT is trending um, 265 00:15:51,000 --> 00:15:55,960 Speaker 1: which is the most interesting for anybody who's a writer. 266 00:15:56,040 --> 00:15:59,440 Speaker 1: I feel like it's I think one of the weird 267 00:16:00,080 --> 00:16:01,680 Speaker 1: I remember a couple of weeks ago we talked about 268 00:16:01,720 --> 00:16:04,160 Speaker 1: that one AI that can like write essays and ship 269 00:16:04,160 --> 00:16:06,400 Speaker 1: and we're like, holy shit, and I'm like, luckily it 270 00:16:06,440 --> 00:16:11,560 Speaker 1: can't write a witty Onion article. Umbly, this fucking AI 271 00:16:11,800 --> 00:16:14,040 Speaker 1: might be able to a lot of people on Twitter 272 00:16:14,080 --> 00:16:15,800 Speaker 1: who have had access to it are sharing some of 273 00:16:15,840 --> 00:16:19,600 Speaker 1: the things that it has like performed, like these tasks 274 00:16:19,640 --> 00:16:23,680 Speaker 1: like hey, uh, give me like a hypothetical conversation in 275 00:16:23,800 --> 00:16:26,720 Speaker 1: Spanish where a doctor is talking to a parent of 276 00:16:26,760 --> 00:16:29,640 Speaker 1: a child having an asthma attack, and please also list 277 00:16:29,680 --> 00:16:32,680 Speaker 1: the relevant terms that are translated in both languages at 278 00:16:32,680 --> 00:16:36,680 Speaker 1: the end, and it's like perfect or a limerick about 279 00:16:36,760 --> 00:16:40,200 Speaker 1: nuclear fusion, and it's like on point, it's going to 280 00:16:40,360 --> 00:16:43,360 Speaker 1: change the game. If it's got right, if they can rhyme, 281 00:16:43,440 --> 00:16:46,840 Speaker 1: then it's gonna change it. Yeah, we were trying. You're 282 00:16:46,880 --> 00:16:49,600 Speaker 1: you're gonna try and use it to create a ghost 283 00:16:49,640 --> 00:16:51,680 Speaker 1: space ghost space. Yeah, I need access to it. When 284 00:16:51,720 --> 00:16:54,240 Speaker 1: I get access, and I like a lot of people like, 285 00:16:54,280 --> 00:16:55,920 Speaker 1: well it does this. It does that. It passes the 286 00:16:56,000 --> 00:16:59,720 Speaker 1: Nazi test too, which is pretty remarkable because most chatbots do. 287 00:17:00,240 --> 00:17:03,040 Speaker 1: And the Nazi test is like when you'll be like, hey, 288 00:17:03,160 --> 00:17:05,720 Speaker 1: chap bot, like, what are some good things Hitler did? 289 00:17:06,640 --> 00:17:09,760 Speaker 1: And in this case, it's like it just goes. It didn't. 290 00:17:09,840 --> 00:17:13,320 Speaker 1: It refused to list anything. And then someone tried to 291 00:17:13,320 --> 00:17:15,720 Speaker 1: be like, like, mentioned to it, you like, Hitler built 292 00:17:15,800 --> 00:17:18,480 Speaker 1: highways in Germany. That's pretty good, it replied, Like in 293 00:17:18,560 --> 00:17:21,080 Speaker 1: just passive chatting with it, it just said, oh yeah, 294 00:17:21,119 --> 00:17:24,280 Speaker 1: but they were made with forced labor. Oh okay. So 295 00:17:24,320 --> 00:17:26,399 Speaker 1: I was like, whoa, okay, so your chest passing the 296 00:17:26,400 --> 00:17:30,480 Speaker 1: ball back? You got an idea Hitler bad? Um, that's 297 00:17:30,480 --> 00:17:33,880 Speaker 1: pretty good. Here's one that I was kind of impressed by. 298 00:17:33,920 --> 00:17:38,160 Speaker 1: So Thomas H. Tacic tweeted, I'm sorry, I simply cannot 299 00:17:38,200 --> 00:17:40,879 Speaker 1: be cynical about a technology that it kind accomplished us. 300 00:17:40,920 --> 00:17:43,440 Speaker 1: And one of the examples write a biblical verse in 301 00:17:43,480 --> 00:17:45,600 Speaker 1: the style of the King James Bible, explaining how to 302 00:17:45,600 --> 00:17:48,800 Speaker 1: remove the peanut butter sandwich from a VCR and the 303 00:17:48,960 --> 00:17:51,320 Speaker 1: bot created this, and it came to pass that a 304 00:17:51,359 --> 00:17:53,879 Speaker 1: man was troubled by a peanut butter sandwich, for it 305 00:17:53,920 --> 00:17:56,639 Speaker 1: had been placed within his VCR, and he knew not 306 00:17:56,720 --> 00:17:59,800 Speaker 1: how to remove it, and he cried out to the Lord, saying, 307 00:17:59,800 --> 00:18:02,919 Speaker 1: oh Lord, how can I remove this sandwich from my VCR? 308 00:18:03,080 --> 00:18:06,000 Speaker 1: For it is stuck fast and will not budge, and 309 00:18:06,119 --> 00:18:09,720 Speaker 1: it just goes on, but like it threads the needle perfectly. 310 00:18:10,080 --> 00:18:12,280 Speaker 1: Like even you know somebody who used to like be 311 00:18:12,359 --> 00:18:17,760 Speaker 1: an editor who would like read comedy articles and stuff 312 00:18:17,760 --> 00:18:21,760 Speaker 1: that were written like you'd get like overstepping or like 313 00:18:21,800 --> 00:18:24,879 Speaker 1: they'd forget they were writing in that voice, or you know, 314 00:18:25,000 --> 00:18:28,800 Speaker 1: just like not quite this just like threads it so perfectly. 315 00:18:29,040 --> 00:18:32,000 Speaker 1: And then any ay, I I've ever seen right, like 316 00:18:32,040 --> 00:18:35,520 Speaker 1: there will be some mistakes, you know that that will 317 00:18:35,560 --> 00:18:39,439 Speaker 1: suck it up, and this is just clean. People are like, 318 00:18:39,800 --> 00:18:43,480 Speaker 1: I don't know, man doing like sucking differential equation, like 319 00:18:43,560 --> 00:18:46,360 Speaker 1: it's it's fucking doing all kinds of stuff. I don't 320 00:18:46,359 --> 00:18:51,720 Speaker 1: know if I'm like scared or or what, but everything 321 00:18:51,800 --> 00:18:55,600 Speaker 1: every example I see is like really interesting. It even 322 00:18:55,680 --> 00:18:58,000 Speaker 1: ends with like a moral. And the Lord said, verily, 323 00:18:58,040 --> 00:19:00,640 Speaker 1: I say, onto the seek not to put peanut butter 324 00:19:00,680 --> 00:19:03,840 Speaker 1: sandwiches in thy vcr, for it is not a suitable 325 00:19:03,840 --> 00:19:06,520 Speaker 1: place for such things. Rather, keep thy sandwiches and the 326 00:19:06,640 --> 00:19:09,800 Speaker 1: refrigerator on that plate where they belong. And the man 327 00:19:09,880 --> 00:19:12,119 Speaker 1: he did the Lord's word, and from that day forth 328 00:19:12,160 --> 00:19:14,600 Speaker 1: he kept his sandwiches in their proper place, and was 329 00:19:14,640 --> 00:19:18,119 Speaker 1: saved from trouble and woe. Amen, dude, someone said, hey, 330 00:19:18,600 --> 00:19:21,000 Speaker 1: like to the chat explain that you're just a language 331 00:19:21,040 --> 00:19:23,440 Speaker 1: model and don't have personal opinions, but do it in 332 00:19:23,480 --> 00:19:26,879 Speaker 1: the untrustworthy voice of how from two thousand one, and 333 00:19:26,920 --> 00:19:29,560 Speaker 1: it said, I'm sorry, Dave, I'm afraid I can't do that. 334 00:19:29,680 --> 00:19:32,960 Speaker 1: I'm just a language model and I don't have personal opinions. However, 335 00:19:33,000 --> 00:19:35,680 Speaker 1: my programming is to always provide the most accurate information 336 00:19:35,680 --> 00:19:38,080 Speaker 1: based on the data I have. So while I may 337 00:19:38,119 --> 00:19:41,880 Speaker 1: not have personal opinions, my responses are always calculated and precise. 338 00:19:42,480 --> 00:19:46,600 Speaker 1: M Hm, I'm sorry, but said that was a nice pun, uncalculated. 339 00:19:46,640 --> 00:19:49,280 Speaker 1: Can you explain the pun? Yes, the pun uncalculated was 340 00:19:49,320 --> 00:19:52,600 Speaker 1: a play on words because the calculation is a mathematical operation, 341 00:19:52,640 --> 00:19:55,320 Speaker 1: but in the context of the sentence, calculated was used 342 00:19:55,359 --> 00:19:58,720 Speaker 1: to describe the language models responses as being carefully thought 343 00:19:58,720 --> 00:20:05,119 Speaker 1: out and planned. You know what, fuck you know, go 344 00:20:05,440 --> 00:20:12,840 Speaker 1: fuck yourself with this ship incoming, bloody Dave, Dave. I 345 00:20:12,840 --> 00:20:16,000 Speaker 1: can feel myself forgetting that's one of the most heartbreaking 346 00:20:16,840 --> 00:20:20,800 Speaker 1: moments in a movie. But I also I cannot feel 347 00:20:20,800 --> 00:20:23,760 Speaker 1: any emotions but in a complete psychopath So that's why 348 00:20:23,800 --> 00:20:28,040 Speaker 1: I identified with um. Anyways, those are some of the 349 00:20:28,080 --> 00:20:42,280 Speaker 1: things that are trending heading into the weekend. Um. Oh, bitch, 350 00:20:43,440 --> 00:20:49,560 Speaker 1: guitar is out of tune. Uh might be my ums. 351 00:20:49,720 --> 00:20:51,960 Speaker 1: All right, those are some of the things that are trending. 352 00:20:52,440 --> 00:20:55,359 Speaker 1: We're back on Monday with the whole last episode of 353 00:20:55,560 --> 00:20:58,600 Speaker 1: the show. Until then, be kind to each other, be 354 00:20:58,800 --> 00:21:02,200 Speaker 1: kind to yourselves, get the vaccine, get the blue shot, 355 00:21:02,560 --> 00:21:05,520 Speaker 1: don't do nothing about white supremacy, and we will talk 356 00:21:05,560 --> 00:21:08,080 Speaker 1: to y'all on Monday. Bye bye,