1 00:00:02,440 --> 00:00:03,800 Speaker 1: Also Media. 2 00:00:04,920 --> 00:00:19,880 Speaker 2: Hello and welcome to Better Offline. I'm your host ed zitron. Today. 3 00:00:19,880 --> 00:00:22,680 Speaker 2: I'm joined by the wonderful Sophie Lichtorman, who will be 4 00:00:22,920 --> 00:00:25,920 Speaker 2: overseeing our Q and A episode, our very first one. Sophie, 5 00:00:25,960 --> 00:00:27,159 Speaker 2: thank you so much for joining me. 6 00:00:27,280 --> 00:00:29,320 Speaker 1: Yeah, I'm kind of the Q and a MC over 7 00:00:29,320 --> 00:00:32,199 Speaker 1: here at Cauzone Media, as in, you need somebody to 8 00:00:32,280 --> 00:00:33,919 Speaker 1: ask you the questions. 9 00:00:34,479 --> 00:00:37,160 Speaker 2: And we've had wonderful questions from all of you this 10 00:00:37,159 --> 00:00:39,120 Speaker 2: this week. Thank you so much. We're going to try 11 00:00:39,120 --> 00:00:41,560 Speaker 2: and do these every couple months, but I love hearing 12 00:00:41,560 --> 00:00:44,159 Speaker 2: from you. Please post on the addit, Please message me. 13 00:00:44,320 --> 00:00:46,800 Speaker 2: You have my email easy at Better Offline dot com 14 00:00:46,800 --> 00:00:49,040 Speaker 2: And that's Easer at Better Offline dot com for the 15 00:00:49,080 --> 00:00:52,320 Speaker 2: Canadians and the British who listen to this as well. 16 00:00:52,320 --> 00:00:53,720 Speaker 2: But Sophie, why don't we take it away? 17 00:00:54,280 --> 00:00:56,040 Speaker 1: Yeah, I'm just going to jump through some of these 18 00:00:56,120 --> 00:00:59,400 Speaker 1: questions and and good yeah, and like, thank you guys 19 00:00:59,440 --> 00:01:02,680 Speaker 1: so much for them, Like we really genuinely appreciate it. 20 00:01:02,680 --> 00:01:03,240 Speaker 2: It's cool. 21 00:01:03,320 --> 00:01:05,800 Speaker 1: It's cool. It's cool that you have a podcast where 22 00:01:05,800 --> 00:01:07,920 Speaker 1: people like you enough where they want to ask you questions. 23 00:01:08,520 --> 00:01:11,080 Speaker 2: Yeah, it's sick all right, I'm going to start with. 24 00:01:11,000 --> 00:01:15,360 Speaker 1: A question from Garrett Smart. Do you think AI is 25 00:01:15,600 --> 00:01:20,520 Speaker 1: actually useful and any capacity even as an assistant in 26 00:01:20,560 --> 00:01:22,480 Speaker 1: the areas of art or programming? 27 00:01:22,680 --> 00:01:26,760 Speaker 2: If so, why so? When it comes to art, I 28 00:01:26,840 --> 00:01:30,880 Speaker 2: think that there are new functions like slightly better clone 29 00:01:30,920 --> 00:01:33,199 Speaker 2: tools as well that I've heard people use. But really 30 00:01:33,240 --> 00:01:36,039 Speaker 2: this is just a bridge from photoshop. I will say, 31 00:01:36,040 --> 00:01:39,360 Speaker 2: for the most part, art is a not a great 32 00:01:39,400 --> 00:01:42,520 Speaker 2: one because usually it's just getting rid of the creative side. 33 00:01:42,800 --> 00:01:45,760 Speaker 2: Programming is a more complex ones. So there's an excellent 34 00:01:45,840 --> 00:01:48,640 Speaker 2: video link to in the episode Notes from the Internet 35 00:01:48,640 --> 00:01:50,320 Speaker 2: of Bucks that Carle Brown I think his name is. 36 00:01:50,320 --> 00:01:51,840 Speaker 2: I really want him on the show, Carle if you're listening, 37 00:01:51,880 --> 00:01:54,800 Speaker 2: please come on where he kind of said that generative 38 00:01:54,840 --> 00:01:59,280 Speaker 2: AI code is different to what software engineering is. Like 39 00:01:59,320 --> 00:02:04,040 Speaker 2: software engineering, he is solving a murder or an investigation 40 00:02:04,280 --> 00:02:06,760 Speaker 2: far more than generative AI is just creating code, because 41 00:02:06,800 --> 00:02:10,119 Speaker 2: software engineering isn't just spooting out code and saying here 42 00:02:10,160 --> 00:02:13,080 Speaker 2: we go, we're done. We now have software. Software is 43 00:02:13,120 --> 00:02:16,040 Speaker 2: a manifold series of different things you have to do, 44 00:02:16,320 --> 00:02:18,040 Speaker 2: and on top of that, things break when you plug 45 00:02:18,120 --> 00:02:20,320 Speaker 2: me into other things, and our internet and most software 46 00:02:20,320 --> 00:02:24,400 Speaker 2: products are built in a patchwork of different things, so 47 00:02:24,400 --> 00:02:27,400 Speaker 2: software development. The best I've heard is that it can 48 00:02:27,440 --> 00:02:31,720 Speaker 2: be used in very controlled situations for very specific things. 49 00:02:31,760 --> 00:02:34,120 Speaker 2: If you're really interested in learning what it can actually do. 50 00:02:34,360 --> 00:02:37,400 Speaker 2: I recommend Max Wolf and Simon Wilson. I'll link them 51 00:02:37,440 --> 00:02:40,600 Speaker 2: in the notes as well, but those two are no 52 00:02:41,120 --> 00:02:43,560 Speaker 2: AI guys. I also really recommend the Internet Bugs, which 53 00:02:43,600 --> 00:02:46,440 Speaker 2: again i'll link as well. There are software developers who 54 00:02:46,560 --> 00:02:49,799 Speaker 2: use this stuff. I don't know about it, and actually 55 00:02:49,840 --> 00:02:52,440 Speaker 2: the Internet of Bug videos really good as well, because 56 00:02:52,480 --> 00:02:55,120 Speaker 2: it breaks the whole myth of oh Microsoft and Google 57 00:02:55,160 --> 00:02:57,320 Speaker 2: saying twenty to thirty percent of their code is written 58 00:02:57,320 --> 00:02:59,880 Speaker 2: by AI. It's kind of bullshit, as you'd expect, because 59 00:03:00,120 --> 00:03:03,800 Speaker 2: you can't just hand off code like this. There's also 60 00:03:03,880 --> 00:03:06,800 Speaker 2: vibe coding. Vibe coding in and of itself has so 61 00:03:06,880 --> 00:03:09,720 Speaker 2: many problems in that. Yeah, when you create something that 62 00:03:09,800 --> 00:03:12,880 Speaker 2: works in a way that you literally don't understand by definition, yeah, 63 00:03:12,919 --> 00:03:15,200 Speaker 2: it's probably going to fucking break. I mean it will 64 00:03:15,240 --> 00:03:17,160 Speaker 2: break at some point and you won't know how to 65 00:03:17,160 --> 00:03:19,280 Speaker 2: fix it other than to poke the machine that build 66 00:03:19,320 --> 00:03:21,680 Speaker 2: it and say, fix the problem. I don't understand. 67 00:03:22,200 --> 00:03:25,880 Speaker 1: It's a good answer from Falcon Underscore nineteen eighty three. 68 00:03:27,040 --> 00:03:29,840 Speaker 1: I'd be interested to hear Ed's process for researching and 69 00:03:29,880 --> 00:03:31,680 Speaker 1: planning his stuff. How long does it take to go 70 00:03:31,720 --> 00:03:35,120 Speaker 1: from an idea to a finished article on podcast? I'm 71 00:03:35,120 --> 00:03:36,920 Speaker 1: excited to hear the truth for this one. 72 00:03:37,160 --> 00:03:41,200 Speaker 2: Okay, so soph Sophie's going to love this. So the 73 00:03:41,280 --> 00:03:45,400 Speaker 2: answer is several seconds, or several days, or several weeks. 74 00:03:45,640 --> 00:03:48,120 Speaker 2: So I'll give you an example. I have an upcoming 75 00:03:48,120 --> 00:03:50,640 Speaker 2: newsletter that's about thirteen thousand words long. I'm going to 76 00:03:50,680 --> 00:03:53,560 Speaker 2: break it into probably two or three episodes. That thing 77 00:03:53,720 --> 00:03:58,760 Speaker 2: started with me listening to jojo Bizarre Adventure JoJo's Bizarre 78 00:03:58,760 --> 00:04:02,600 Speaker 2: Adventure music, even sitting outside just it was a nice 79 00:04:02,720 --> 00:04:04,720 Speaker 2: day and a smile. It was like, oh fuck. I 80 00:04:04,760 --> 00:04:07,960 Speaker 2: started writing down like the most insane notes ever. I 81 00:04:08,040 --> 00:04:10,440 Speaker 2: then sent that to my editor and my mate Casey, 82 00:04:10,520 --> 00:04:12,760 Speaker 2: and we talked about it for like a day or two, 83 00:04:12,840 --> 00:04:14,720 Speaker 2: and then I get pissed off, like a baby that 84 00:04:14,800 --> 00:04:17,599 Speaker 2: needs to fart or burp. I sit there being mad 85 00:04:17,640 --> 00:04:19,360 Speaker 2: at the idea. I message people like, what do you 86 00:04:19,400 --> 00:04:21,360 Speaker 2: think about that? You ever see this? And they're like, 87 00:04:21,400 --> 00:04:23,720 Speaker 2: I don't know what You're talking about ed I don't 88 00:04:23,800 --> 00:04:27,120 Speaker 2: understand what you're talking about. What do you mean? And 89 00:04:27,160 --> 00:04:29,799 Speaker 2: then I'll then in explaining it to them, I'll actually 90 00:04:29,839 --> 00:04:31,880 Speaker 2: come up with the idea, and then I will sit 91 00:04:31,960 --> 00:04:34,599 Speaker 2: down and I will write for several hours, and I 92 00:04:34,600 --> 00:04:37,000 Speaker 2: will write for several hours straight. I will research as 93 00:04:37,040 --> 00:04:39,800 Speaker 2: I'm writing. There will be stuff that I pick up 94 00:04:39,800 --> 00:04:41,440 Speaker 2: along the way in my day that I'm reading and 95 00:04:41,440 --> 00:04:43,279 Speaker 2: I'll go, yeah, this kind of makes me feel annoyed 96 00:04:43,360 --> 00:04:45,760 Speaker 2: or it feels like it slots in, and then I 97 00:04:45,800 --> 00:04:49,279 Speaker 2: will go through a full I So the thirteen thousand 98 00:04:49,279 --> 00:04:51,880 Speaker 2: and one took me about three days, probably three days, 99 00:04:51,920 --> 00:04:55,520 Speaker 2: about three hours each, bits and pieces, and I'm researching 100 00:04:55,560 --> 00:04:57,480 Speaker 2: as I go. That's a big part of my process, 101 00:04:57,520 --> 00:05:00,240 Speaker 2: which sounds insane, but it's mostly because I'm try to 102 00:05:00,279 --> 00:05:03,880 Speaker 2: explain it to myself as I go, which works pretty well. 103 00:05:03,960 --> 00:05:05,480 Speaker 2: It makes the things a little long, but I mean 104 00:05:05,480 --> 00:05:07,560 Speaker 2: that's why you listen to the podcast. Then there will 105 00:05:07,560 --> 00:05:10,520 Speaker 2: be situations like with Giant Bomb. So the Giant Bomb 106 00:05:10,520 --> 00:05:13,440 Speaker 2: episodes that came out last week, so that one came 107 00:05:13,480 --> 00:05:16,080 Speaker 2: together in a few minutes. I was like, I messaged 108 00:05:16,160 --> 00:05:18,560 Speaker 2: Dan Reichert over there and said, hey, look, I would 109 00:05:18,600 --> 00:05:19,960 Speaker 2: love to do an episode with you guys and just 110 00:05:19,960 --> 00:05:22,760 Speaker 2: came together quickly. It same with like Karen Howe, and 111 00:05:22,839 --> 00:05:25,400 Speaker 2: so it really is a tapestry of different things. There 112 00:05:25,400 --> 00:05:28,840 Speaker 2: will be times when I ping friends and just say, hey, look, 113 00:05:29,600 --> 00:05:31,480 Speaker 2: what do you think about this idea? And I will 114 00:05:31,480 --> 00:05:33,240 Speaker 2: shoot the shit with them for a few hours and 115 00:05:33,320 --> 00:05:35,000 Speaker 2: something will come out. That's why I end up. I 116 00:05:35,080 --> 00:05:37,599 Speaker 2: mentioned Casey Kagawa a lot is one of my closest friends, 117 00:05:37,640 --> 00:05:40,200 Speaker 2: and we ideate a lot because we both have brain worms. 118 00:05:41,080 --> 00:05:43,200 Speaker 2: So yeah, I don't know if anyone else in the 119 00:05:43,200 --> 00:05:46,919 Speaker 2: world writes like this. It sound it makes me sound insane, 120 00:05:46,920 --> 00:05:49,800 Speaker 2: but I really enjoy it and I feel better at 121 00:05:49,839 --> 00:05:52,280 Speaker 2: the end, like it feels like I really built something. 122 00:05:52,800 --> 00:05:57,200 Speaker 2: It's it's cool. I like doing it. The monologues are 123 00:05:57,760 --> 00:06:02,560 Speaker 2: insane in that those usually take me about ten minutes 124 00:06:02,600 --> 00:06:05,360 Speaker 2: of pacing around thinking and then about twenty minutes of writing. 125 00:06:05,480 --> 00:06:09,159 Speaker 2: Then I record straight because I like the monologues. The 126 00:06:09,200 --> 00:06:11,480 Speaker 2: monologues I think I have more fun with than anything 127 00:06:11,480 --> 00:06:15,040 Speaker 2: else because they're so low, they're low velocity, low pressure. 128 00:06:15,240 --> 00:06:17,640 Speaker 2: I love doing them, like and I always I'll just 129 00:06:17,640 --> 00:06:20,120 Speaker 2: do five minutes that comes out as ten, Oh, I 130 00:06:20,160 --> 00:06:21,599 Speaker 2: really should do a monologue this week. 131 00:06:21,880 --> 00:06:23,120 Speaker 1: I love your monologues. 132 00:06:23,440 --> 00:06:24,800 Speaker 2: Oh they're the best. I really do it. 133 00:06:24,880 --> 00:06:27,000 Speaker 1: I love that you were like, yeah, I'll try it, 134 00:06:27,160 --> 00:06:30,080 Speaker 1: and then you were like, I had so much fun 135 00:06:30,160 --> 00:06:30,600 Speaker 1: doing this. 136 00:06:30,760 --> 00:06:32,440 Speaker 2: It's because it's low pressure. 137 00:06:32,720 --> 00:06:34,880 Speaker 1: You can tell them, but you can tell. That's why 138 00:06:34,880 --> 00:06:37,440 Speaker 1: they're so That's why they're so good, because if you 139 00:06:37,480 --> 00:06:40,400 Speaker 1: were doing them out of like, oh obligation to rant, 140 00:06:40,640 --> 00:06:42,640 Speaker 1: as opposed to like I actually like doing, and then 141 00:06:42,680 --> 00:06:44,880 Speaker 1: it's just not as interesting in my opinion. 142 00:06:44,960 --> 00:06:46,120 Speaker 2: Yeah, you can tell. 143 00:06:46,200 --> 00:06:50,359 Speaker 1: You can tell as like as like a podcast of 144 00:06:50,480 --> 00:06:52,880 Speaker 1: a producer of many podcasts. You can tell when somebody's 145 00:06:52,920 --> 00:06:53,480 Speaker 1: phoning it in. 146 00:06:54,520 --> 00:06:56,200 Speaker 2: Yeah, I don't think I have it in me to 147 00:06:56,240 --> 00:06:57,920 Speaker 2: phone it in. I guess, Oh you don't, I get. 148 00:06:58,360 --> 00:07:00,240 Speaker 2: I mean the man who killed Google search? Do you 149 00:07:00,240 --> 00:07:03,440 Speaker 2: know from last monologue? Sorry two monologues back. Even when 150 00:07:03,440 --> 00:07:06,200 Speaker 2: we're recording. This was literally that came from me being 151 00:07:06,240 --> 00:07:08,360 Speaker 2: pissed off about like I was trying to phone in 152 00:07:08,360 --> 00:07:10,720 Speaker 2: as shean newsletter. It was like soup not she in 153 00:07:10,840 --> 00:07:14,200 Speaker 2: newsletter podcast and it was super early and better offline, 154 00:07:14,240 --> 00:07:16,400 Speaker 2: so I had no process. I was just like war 155 00:07:16,720 --> 00:07:20,400 Speaker 2: just constantly worried every week. Not anymore though, Now I 156 00:07:20,480 --> 00:07:21,440 Speaker 2: feast on content. 157 00:07:23,120 --> 00:07:25,000 Speaker 1: Yeah you caught the podcast illness. 158 00:07:25,760 --> 00:07:30,840 Speaker 2: Oh yeah, the Evans madness. 159 00:07:30,880 --> 00:07:35,800 Speaker 1: Let's do another one from Logan. My question is, how 160 00:07:35,840 --> 00:07:39,320 Speaker 1: do you see the copyright lawsuits playing out and its 161 00:07:39,360 --> 00:07:43,400 Speaker 1: effect on generative AI in the tech industry. Do you 162 00:07:43,440 --> 00:07:46,760 Speaker 1: have faith that creators will win and copyrighted content will 163 00:07:46,760 --> 00:07:50,560 Speaker 1: need to be pulled from these models, severely hindering their performance. 164 00:07:52,160 --> 00:07:54,960 Speaker 2: I think that it's going to be it's a good question. 165 00:07:55,520 --> 00:07:57,720 Speaker 2: It's going to be weird and confusing right up until 166 00:07:57,720 --> 00:07:58,160 Speaker 2: it isn't. 167 00:07:58,280 --> 00:07:58,440 Speaker 1: So. 168 00:07:58,640 --> 00:08:00,000 Speaker 2: I don't think you're going to have like a un 169 00:08:00,200 --> 00:08:02,840 Speaker 2: lateral win in any of these cases. It's never that clean, 170 00:08:02,880 --> 00:08:06,240 Speaker 2: it's never that easy. But I think what is most 171 00:08:06,280 --> 00:08:09,600 Speaker 2: likely to happen is there's going to be a win 172 00:08:09,720 --> 00:08:12,080 Speaker 2: and then there will be a massive settlement. But that 173 00:08:12,200 --> 00:08:14,840 Speaker 2: settlement will be used in the future to break these 174 00:08:15,320 --> 00:08:17,640 Speaker 2: machines if they lose these things, and there is ever 175 00:08:17,760 --> 00:08:20,559 Speaker 2: like a precedent set that says and I'm not a lawyer, 176 00:08:20,560 --> 00:08:24,080 Speaker 2: I realized, but and they say, okay, this is the 177 00:08:24,160 --> 00:08:28,760 Speaker 2: thing where this this proves that feeding into the models 178 00:08:28,760 --> 00:08:32,840 Speaker 2: is a violation of Copyrea. Let's just say they can't 179 00:08:33,000 --> 00:08:37,120 Speaker 2: untrain these things. They cannot do it. You cannot untrain 180 00:08:37,200 --> 00:08:40,600 Speaker 2: a model. Once a model is trained, it's done. There 181 00:08:40,600 --> 00:08:42,840 Speaker 2: are stages to them. They could probably revert back to 182 00:08:42,920 --> 00:08:45,840 Speaker 2: from what I understand, but you can't just be like, Okay, 183 00:08:45,880 --> 00:08:49,320 Speaker 2: remove all pictures of Scooby Doo, remove all pictures of Garfield. 184 00:08:50,240 --> 00:08:53,440 Speaker 2: It's they And another important detail is the model developers 185 00:08:53,480 --> 00:08:56,320 Speaker 2: don't really understand how these things work themselves. They're still 186 00:08:56,360 --> 00:08:59,840 Speaker 2: working it out. It's why there's so many questions they have. 187 00:09:00,440 --> 00:09:02,760 Speaker 2: When it's like they get where, they're like, oh yeah, yeah, 188 00:09:02,800 --> 00:09:05,360 Speaker 2: it just be very complex to remove the answer is 189 00:09:05,400 --> 00:09:07,840 Speaker 2: they don't know how open AI like a year ago, 190 00:09:07,880 --> 00:09:09,800 Speaker 2: said they were going to make a media central thing 191 00:09:09,960 --> 00:09:12,160 Speaker 2: we could opt out of stuff just never happened. No 192 00:09:12,200 --> 00:09:15,440 Speaker 2: one checked. On the less fun level, it will probably 193 00:09:15,480 --> 00:09:17,720 Speaker 2: be a big settlement. On the funny level, will be 194 00:09:18,040 --> 00:09:20,800 Speaker 2: the judge says, yeah, you have to amend your models. 195 00:09:20,960 --> 00:09:22,880 Speaker 2: There is no amending these models. They will have to 196 00:09:22,920 --> 00:09:27,360 Speaker 2: spend tens hundreds of millions of dollars to retrain anything 197 00:09:27,400 --> 00:09:29,840 Speaker 2: that is used there. There will be some that refuse to. 198 00:09:29,960 --> 00:09:32,360 Speaker 2: I would not be surprised to be elon musk if 199 00:09:32,440 --> 00:09:35,760 Speaker 2: even order just goes, oh oh yeah, that's that's not epical. 200 00:09:35,800 --> 00:09:39,079 Speaker 2: Bits they're not going to do it, and no one 201 00:09:39,160 --> 00:09:41,880 Speaker 2: is gonna like, no one's going to outsue him. Open 202 00:09:41,920 --> 00:09:46,480 Speaker 2: Ai is far more scared of that, anthropic, extremely weak 203 00:09:46,520 --> 00:09:48,520 Speaker 2: to that. And on top of that, any of these 204 00:09:48,600 --> 00:09:52,000 Speaker 2: lawsuits prevailing will fuck open AI's nonprofit situation, which is 205 00:09:52,040 --> 00:09:55,240 Speaker 2: already pretty fucked like that. There are so many weak 206 00:09:55,280 --> 00:09:58,160 Speaker 2: points in these companies that people don't realize, and there's 207 00:09:58,200 --> 00:10:00,320 Speaker 2: always there's always hope, never get we've. 208 00:10:00,240 --> 00:10:13,840 Speaker 3: Up hope that these assholes can get crushed, all right. 209 00:10:15,040 --> 00:10:19,160 Speaker 1: From Mela, I think it's Mela, me e La. I'm 210 00:10:19,160 --> 00:10:22,960 Speaker 1: sorry if it's not Mela. Question I'm a teacher. Any 211 00:10:22,960 --> 00:10:25,880 Speaker 1: thoughts on AI being implemented in the classroom, specifically in 212 00:10:25,920 --> 00:10:28,880 Speaker 1: public schools. We talk about it pretty often because it 213 00:10:29,000 --> 00:10:32,160 Speaker 1: constantly getting marketed as a tool, but it is mostly 214 00:10:32,440 --> 00:10:35,400 Speaker 1: in the context of students learning on it to write research, 215 00:10:35,480 --> 00:10:39,679 Speaker 1: but not about how it is being marketed to schools. 216 00:10:39,960 --> 00:10:43,319 Speaker 2: Yeah, so I don't know this subject in depth, but 217 00:10:43,360 --> 00:10:45,680 Speaker 2: I'll say this, I've heard of people using it for 218 00:10:45,760 --> 00:10:49,199 Speaker 2: lesson plans. Teachers and if you're not a teacher and 219 00:10:49,280 --> 00:10:51,320 Speaker 2: you hear this, teachers have to like buy all their 220 00:10:51,360 --> 00:10:53,440 Speaker 2: own shit and they need to do all their own work. 221 00:10:53,480 --> 00:10:56,440 Speaker 2: They get basically no support. So I wouldn't be surprised 222 00:10:56,480 --> 00:10:59,720 Speaker 2: if the if open AI or one of these companies 223 00:10:59,720 --> 00:11:01,199 Speaker 2: stru to push in and be like, oh, it's a 224 00:11:01,240 --> 00:11:03,600 Speaker 2: teachers the system and it's a rare case where like 225 00:11:04,440 --> 00:11:07,440 Speaker 2: maybe it kind of helps. But I think after a 226 00:11:07,480 --> 00:11:10,160 Speaker 2: certain point, if you're making a lesson planned with CHET GPT, 227 00:11:10,280 --> 00:11:13,840 Speaker 2: you're no longer fucking teaching. I think you're just you 228 00:11:13,840 --> 00:11:16,800 Speaker 2: were just representing someone else's information and hoping it works. 229 00:11:17,120 --> 00:11:22,520 Speaker 2: I worry about administrations in poorly funded education departments just 230 00:11:22,559 --> 00:11:24,840 Speaker 2: being like okay, yeah, let's just shove this in here. 231 00:11:25,480 --> 00:11:31,960 Speaker 2: I think the worries that people have over over the whole, 232 00:11:32,040 --> 00:11:33,960 Speaker 2: like oh, kids are just going to be handed at 233 00:11:33,960 --> 00:11:36,160 Speaker 2: GPT and told to go nuts, I don't think that 234 00:11:36,160 --> 00:11:39,680 Speaker 2: will happen, just because well Google's already trying to do 235 00:11:39,720 --> 00:11:42,079 Speaker 2: that with Gemini. They're already trying to give Gemini to kids. 236 00:11:42,679 --> 00:11:44,800 Speaker 2: I don't think that that's going to last as long 237 00:11:44,840 --> 00:11:48,280 Speaker 2: as people think, because at some point a child is 238 00:11:48,280 --> 00:11:50,080 Speaker 2: going to hurt themselves because of one of these things 239 00:11:50,120 --> 00:11:53,080 Speaker 2: or hurts someone else. And as much as we love 240 00:11:53,120 --> 00:11:56,640 Speaker 2: our restrained, unrestrained capitalism in this country and the world 241 00:11:56,640 --> 00:11:59,360 Speaker 2: at large, there comes a point where that kind of 242 00:11:59,400 --> 00:12:03,960 Speaker 2: stuff you in Europe, like Europe will unhinge their jaw 243 00:12:04,040 --> 00:12:07,520 Speaker 2: and swallow open AI whole. And the same with Google. 244 00:12:07,600 --> 00:12:10,320 Speaker 2: If they do anything with kids and AI in a 245 00:12:10,360 --> 00:12:13,320 Speaker 2: way they don't like over here, you're gonna see some tests. 246 00:12:13,320 --> 00:12:15,760 Speaker 2: But the fund about the thing is it can't do 247 00:12:16,000 --> 00:12:18,800 Speaker 2: the teaching part. It can do the hi I want, 248 00:12:18,960 --> 00:12:22,719 Speaker 2: like finish my homework for me, but the actual lesson instruction. No, 249 00:12:23,280 --> 00:12:25,720 Speaker 2: And nor is there a situation where they're just going 250 00:12:25,720 --> 00:12:28,480 Speaker 2: to sit kids down in front of it, Because I 251 00:12:28,480 --> 00:12:30,640 Speaker 2: don't know how would that even. I mean, sure, in 252 00:12:30,720 --> 00:12:33,000 Speaker 2: some dystopian future we just handle a laptop and chat 253 00:12:33,080 --> 00:12:36,640 Speaker 2: GPT and say go nuts. But on a practical level, 254 00:12:37,360 --> 00:12:40,040 Speaker 2: I just don't see that happening. And if I guess 255 00:12:40,120 --> 00:12:41,800 Speaker 2: you could say, then there are the doomers out there 256 00:12:41,800 --> 00:12:43,959 Speaker 2: will say, oh, the Department of Education could force GROC 257 00:12:44,080 --> 00:12:47,280 Speaker 2: onto everything. Ah. If you think in that way, if 258 00:12:47,280 --> 00:12:50,439 Speaker 2: you constantly pull yourself in the Dumerius direction, yeah, anything 259 00:12:50,480 --> 00:12:55,200 Speaker 2: can literally happen. Ever, anytime anything terrible can happen, I 260 00:12:55,200 --> 00:12:58,040 Speaker 2: think you are going to see a lot of departments 261 00:12:58,120 --> 00:13:01,040 Speaker 2: push teachers to learn this stuff. To the point in 262 00:13:01,080 --> 00:13:04,040 Speaker 2: your question, I think when it becomes student facing, that's 263 00:13:04,040 --> 00:13:06,280 Speaker 2: when things are going to get a little bit weird 264 00:13:06,320 --> 00:13:10,920 Speaker 2: and a little bit crazier. Because another thing to think about, 265 00:13:11,720 --> 00:13:15,480 Speaker 2: how well do you think conservatives will react to their 266 00:13:15,559 --> 00:13:17,800 Speaker 2: child being plucked in front of chat GPT or Grok 267 00:13:17,880 --> 00:13:21,079 Speaker 2: or what have you, and Grok or chat GPT tells 268 00:13:21,120 --> 00:13:23,320 Speaker 2: them that like black people should have the same rights 269 00:13:23,320 --> 00:13:25,120 Speaker 2: as white people. They're gonna hate that. They're going to 270 00:13:25,160 --> 00:13:27,000 Speaker 2: be furious at that idea. They're going to say that 271 00:13:27,000 --> 00:13:30,120 Speaker 2: they're being given a woke education. And there is only 272 00:13:30,200 --> 00:13:32,400 Speaker 2: so much amendments you can do to a system prompt 273 00:13:32,440 --> 00:13:35,040 Speaker 2: before you entirely break it, as proven by the fact 274 00:13:35,040 --> 00:13:38,560 Speaker 2: that Grok talked about white genocide or the boas at 275 00:13:38,640 --> 00:13:41,400 Speaker 2: nauseum the other day shout out to Kylie Robinson and 276 00:13:41,400 --> 00:13:43,800 Speaker 2: went on, Chris has to talk about that. But yeah, 277 00:13:43,880 --> 00:13:47,800 Speaker 2: I'm it's a mix. It's really it's a question of 278 00:13:48,080 --> 00:13:50,840 Speaker 2: how far this hype cycle goes and for how long, 279 00:13:51,040 --> 00:13:54,160 Speaker 2: because if it lasts another two or three years somewhere 280 00:13:54,200 --> 00:13:56,320 Speaker 2: it's going to happen. But I don't see that happening 281 00:13:56,400 --> 00:13:56,720 Speaker 2: at all. 282 00:13:57,920 --> 00:13:59,959 Speaker 1: Yeah, I know, it's really kind of gnarly for TEA 283 00:14:00,400 --> 00:14:03,920 Speaker 1: when they can, when they can so easily tell that 284 00:14:04,120 --> 00:14:07,959 Speaker 1: students are just using AI to turn in homework. I mean, 285 00:14:08,040 --> 00:14:12,440 Speaker 1: somebody's going to create something that is like a plagiarism tracker, 286 00:14:12,520 --> 00:14:14,720 Speaker 1: but it's like an AI tracker at some point you'd 287 00:14:14,720 --> 00:14:15,600 Speaker 1: have to imagine. 288 00:14:16,040 --> 00:14:19,160 Speaker 2: And those already exist, and they're already dinging students for 289 00:14:20,200 --> 00:14:22,080 Speaker 2: And I think that there is a wider problem with 290 00:14:22,200 --> 00:14:25,000 Speaker 2: our chat GPT essay writing thing, which is we don't 291 00:14:25,040 --> 00:14:27,720 Speaker 2: teach children to write correct. I remember when I was 292 00:14:27,720 --> 00:14:29,760 Speaker 2: at Penn State, I had a group project. If any 293 00:14:29,760 --> 00:14:31,960 Speaker 2: who you're listening, I'm very sorry you're writing sucked. I 294 00:14:31,960 --> 00:14:33,840 Speaker 2: had a group project with like seniors and juniors, and 295 00:14:33,840 --> 00:14:36,520 Speaker 2: I was a sophomore at the time, and he was 296 00:14:36,520 --> 00:14:40,680 Speaker 2: like an eighteen page, eighteen page double space essay, and 297 00:14:40,840 --> 00:14:43,720 Speaker 2: everyone's writing was different but the same kind of bad, 298 00:14:43,800 --> 00:14:46,760 Speaker 2: and it kind of mirrored the shitty writing of chat GPT. 299 00:14:47,120 --> 00:14:52,840 Speaker 2: It's the kind of intro body conclusion slot we taught 300 00:14:52,960 --> 00:14:55,640 Speaker 2: people to write like this and we graded them based 301 00:14:55,680 --> 00:14:58,520 Speaker 2: on this writing. We don't because we think, oh, not 302 00:14:58,640 --> 00:15:01,920 Speaker 2: everyone can write. Actually they can. I fully believe they 303 00:15:01,960 --> 00:15:06,440 Speaker 2: can if given media to consume and encouragement and have 304 00:15:06,520 --> 00:15:10,000 Speaker 2: good writers teach them. Because we do not prioritize communication 305 00:15:10,080 --> 00:15:11,600 Speaker 2: as in fact, I think it is a word of thing. 306 00:15:11,680 --> 00:15:14,840 Speaker 2: It's we don't prioritize teaching people communication at all. People 307 00:15:14,960 --> 00:15:18,400 Speaker 2: are using chat GPT to mediate conflict because we don't 308 00:15:18,400 --> 00:15:21,640 Speaker 2: have any kind of institutionalized mental health I don't mean 309 00:15:21,680 --> 00:15:24,280 Speaker 2: like institutions, I mean like making people do mental health stuff. 310 00:15:24,640 --> 00:15:27,880 Speaker 2: We don't have any kind of classes to teach people 311 00:15:28,000 --> 00:15:30,600 Speaker 2: conflict resolution. And we also don't teach people how to 312 00:15:30,680 --> 00:15:34,000 Speaker 2: fucking communicate. We romanticize, especially in college, this kind of 313 00:15:34,360 --> 00:15:39,920 Speaker 2: overstaffed architect in the matrix style indubitably bullshit, which is 314 00:15:39,960 --> 00:15:43,000 Speaker 2: about making yourself sound smart rather than actually communicating an 315 00:15:43,040 --> 00:15:46,320 Speaker 2: intelligent point. This is a natural weak point for things 316 00:15:46,320 --> 00:15:49,720 Speaker 2: like chat GPT, which is entirely about sounding smart without 317 00:15:49,760 --> 00:15:53,960 Speaker 2: being smart. So I mean, I'm actually shocked that teachers 318 00:15:53,960 --> 00:15:56,440 Speaker 2: can't tell that chat when chat gpt is writing, because 319 00:15:56,480 --> 00:15:58,200 Speaker 2: I've been able to one hundred percent not it's when 320 00:15:58,240 --> 00:16:01,840 Speaker 2: I get that slob. It's a really certain kind of echoing. 321 00:16:02,360 --> 00:16:05,280 Speaker 2: Nothing behind it, There's no there is no I'm not 322 00:16:05,320 --> 00:16:08,560 Speaker 2: even being kind of condescending. I mean there is a 323 00:16:08,600 --> 00:16:11,560 Speaker 2: way it writes. There is a way that Claude rights 324 00:16:11,600 --> 00:16:14,640 Speaker 2: as well. It always goes like that's a really good point. 325 00:16:14,920 --> 00:16:19,000 Speaker 1: Yeah, there's usually some kind of like indeed that is great. Yeah, 326 00:16:19,280 --> 00:16:23,520 Speaker 1: is there some like really strange or like an unusually 327 00:16:23,720 --> 00:16:25,960 Speaker 1: awkward punctuation as well. 328 00:16:25,640 --> 00:16:29,000 Speaker 2: That you can just tell and it doesn't feel right? 329 00:16:29,280 --> 00:16:31,920 Speaker 2: And but again, if we have teachers that don't know 330 00:16:32,000 --> 00:16:34,360 Speaker 2: how to write, who don't know what good writing is, 331 00:16:34,400 --> 00:16:37,520 Speaker 2: they just and again that is a well not again 332 00:16:37,520 --> 00:16:40,840 Speaker 2: I didn't say this yet, but there is also likely 333 00:16:40,880 --> 00:16:43,200 Speaker 2: not the institutional support for teachers either. So it's just 334 00:16:43,240 --> 00:16:46,600 Speaker 2: we create these weak systems that get exploited. And none 335 00:16:46,640 --> 00:16:48,920 Speaker 2: of this is a business model for chat GPT either. 336 00:16:49,520 --> 00:16:52,040 Speaker 2: Like they got sixteen point five million I think from 337 00:16:52,800 --> 00:16:56,560 Speaker 2: cal State University cal State University system. It's like that's 338 00:16:56,600 --> 00:16:59,400 Speaker 2: still losing the money and already people are trying to 339 00:16:59,400 --> 00:17:02,560 Speaker 2: get rid of it. It's just it's also sickening. 340 00:17:02,680 --> 00:17:07,560 Speaker 1: It's a mess. Let's go to a fun question from Nora. 341 00:17:08,359 --> 00:17:10,120 Speaker 1: Do you have a piece of tech you wish had 342 00:17:10,160 --> 00:17:13,480 Speaker 1: been successful but wasn't, or that you wish was widely 343 00:17:13,520 --> 00:17:15,639 Speaker 1: influential but didn't turn out that way. I would love 344 00:17:15,680 --> 00:17:16,840 Speaker 1: to know your answer to this question. 345 00:17:17,680 --> 00:17:22,480 Speaker 2: So my one is the PlayStation Vita. So the PlayStation 346 00:17:22,600 --> 00:17:25,959 Speaker 2: Veta was this little gaming console that Sony did. It 347 00:17:26,000 --> 00:17:28,800 Speaker 2: was PlayStation three era, I think it was. It was 348 00:17:28,880 --> 00:17:31,159 Speaker 2: so cool. It was like a step up from the 349 00:17:31,200 --> 00:17:33,800 Speaker 2: PlayStation Portable. The graphics were good. It had this weird 350 00:17:34,560 --> 00:17:36,600 Speaker 2: touch screen on the back that you could use. It 351 00:17:36,640 --> 00:17:38,280 Speaker 2: really wasn't a great idea, but it was like they 352 00:17:38,280 --> 00:17:41,040 Speaker 2: were trying stuff. It was also just a great form factor, 353 00:17:41,080 --> 00:17:44,080 Speaker 2: great weight, great games, really great. Same with the PSP 354 00:17:45,119 --> 00:17:48,360 Speaker 2: and I get why it didn't take off, and I 355 00:17:48,400 --> 00:17:51,120 Speaker 2: think we are getting there. There's the GPD Win four, 356 00:17:51,160 --> 00:17:53,119 Speaker 2: which is like a little gaming PC hand held. It 357 00:17:53,200 --> 00:17:55,520 Speaker 2: kind of feels like it, but it's too chunky. I 358 00:17:55,560 --> 00:17:57,560 Speaker 2: think in the next few years you might actually see 359 00:17:57,640 --> 00:18:01,040 Speaker 2: growth in this because good lord is that like I 360 00:18:01,119 --> 00:18:03,960 Speaker 2: love the mobile gaming PCs. And for the show, actually 361 00:18:04,000 --> 00:18:08,000 Speaker 2: I'm playing with an Asus rog ally X, which is 362 00:18:08,040 --> 00:18:11,600 Speaker 2: really cool. We are probably five to ten years away 363 00:18:11,640 --> 00:18:13,600 Speaker 2: from what I'm dreaming of, which is a super thin 364 00:18:13,640 --> 00:18:15,280 Speaker 2: one that's kind of like a Nintendo Switch but a 365 00:18:15,280 --> 00:18:19,800 Speaker 2: powerful gaming PC. But I wish the PSVA had done 366 00:18:19,800 --> 00:18:22,240 Speaker 2: better because we would have seen this quicker. We would 367 00:18:22,240 --> 00:18:25,840 Speaker 2: have seen a push for smaller silicon for batteries, like 368 00:18:25,840 --> 00:18:27,480 Speaker 2: there would have been just more money going into it. 369 00:18:27,520 --> 00:18:29,440 Speaker 2: But again, maybe it didn't get there because the tech 370 00:18:29,480 --> 00:18:33,800 Speaker 2: wasn't ready. I still loved it. I still really loved it, 371 00:18:33,880 --> 00:18:37,560 Speaker 2: and I really love that form factor as well. And 372 00:18:37,600 --> 00:18:39,800 Speaker 2: the big thing I guess I'm saying is it's not 373 00:18:40,000 --> 00:18:44,800 Speaker 2: just do these things exist. It's like Sony is very 374 00:18:44,840 --> 00:18:48,359 Speaker 2: good at ergonomic stuff. I love their controllers, like that 375 00:18:48,560 --> 00:18:50,639 Speaker 2: was what really made it as well. It was just 376 00:18:50,720 --> 00:18:53,560 Speaker 2: the I missed. I missed that, and I'm sure there's 377 00:18:53,560 --> 00:18:55,480 Speaker 2: some If you are a listener who played with the 378 00:18:55,480 --> 00:18:59,679 Speaker 2: PlayStation portableand PlayStation Vita homebrew scene, love you please email 379 00:18:59,720 --> 00:19:01,960 Speaker 2: me up, love to talk about it. I miss it 380 00:19:02,000 --> 00:19:04,240 Speaker 2: as cool as shit. Raymond Wong, who used to write 381 00:19:04,320 --> 00:19:06,560 Speaker 2: in verses, did a lot about it as well. It's 382 00:19:06,680 --> 00:19:08,800 Speaker 2: just I guess the part of tech I'm missing is 383 00:19:09,640 --> 00:19:11,920 Speaker 2: well that never really took off, is these powerful port 384 00:19:11,960 --> 00:19:14,960 Speaker 2: but handhelds, and we're so close we're so close. I 385 00:19:15,000 --> 00:19:17,359 Speaker 2: can I can feel it. I can feel it, I 386 00:19:17,359 --> 00:19:19,320 Speaker 2: can feel the cosmos. It's gonna be wonderful when it 387 00:19:19,359 --> 00:19:19,760 Speaker 2: gets here. 388 00:19:20,640 --> 00:19:22,960 Speaker 1: There was an article that I read a couple days 389 00:19:22,960 --> 00:19:25,840 Speaker 1: ago from Vice that was probably, you know, not an 390 00:19:25,880 --> 00:19:30,119 Speaker 1: original piece from Vice no offense device, that was like, 391 00:19:30,320 --> 00:19:32,280 Speaker 1: your pets could one day be able to talk to 392 00:19:32,320 --> 00:19:39,359 Speaker 1: you with AI. And I just like that to me 393 00:19:40,440 --> 00:19:42,840 Speaker 1: was what you've been talking about. And there's a question 394 00:19:42,880 --> 00:19:44,639 Speaker 1: that talks about the AI bubble burst, which is what 395 00:19:44,640 --> 00:19:47,040 Speaker 1: this is leading into. You've talked about that. That is 396 00:19:47,080 --> 00:19:49,360 Speaker 1: such an indicator to me that I'm like, come on, 397 00:19:49,920 --> 00:19:51,199 Speaker 1: come on, yeah, come on. 398 00:19:52,760 --> 00:19:54,760 Speaker 2: Part of the joy of pets is that they can't 399 00:19:54,760 --> 00:19:56,680 Speaker 2: communicate with us, and we have to show them extra 400 00:19:56,760 --> 00:19:59,400 Speaker 2: love and affection. I know we have to understand their 401 00:19:59,440 --> 00:20:02,399 Speaker 2: needs without fully understanding them. That we have to be 402 00:20:02,640 --> 00:20:06,600 Speaker 2: empathetic and caring about them. The idea that also, I 403 00:20:06,600 --> 00:20:08,919 Speaker 2: don't want to hear what Babu thinks of me. I 404 00:20:08,960 --> 00:20:11,360 Speaker 2: think he loves me, but he loves me. I think, 405 00:20:11,480 --> 00:20:15,520 Speaker 2: how is the one my cat who kind of like 406 00:20:15,560 --> 00:20:18,040 Speaker 2: stays in my office mostly he is the one who 407 00:20:18,080 --> 00:20:19,920 Speaker 2: I think he's probably got some mean things to say. 408 00:20:19,960 --> 00:20:21,480 Speaker 2: He loves me, but he also hits me in the 409 00:20:21,520 --> 00:20:22,400 Speaker 2: face sometimes, So. 410 00:20:23,080 --> 00:20:26,040 Speaker 1: Yeah, I mean, like I think Anderson would not trade 411 00:20:26,080 --> 00:20:29,000 Speaker 1: me for a piece of string cheese, but my newest 412 00:20:29,040 --> 00:20:32,520 Speaker 1: rescue dog, Truman, I mean, I'd love for us to 413 00:20:32,600 --> 00:20:34,880 Speaker 1: know when she'd be like that. I'm scared of that. 414 00:20:35,440 --> 00:20:38,480 Speaker 1: But also, uh, I don't want to hear that she 415 00:20:38,480 --> 00:20:40,320 Speaker 1: would trade me for a piece of string cheese, which 416 00:20:40,320 --> 00:20:42,760 Speaker 1: I'm pretty sure she would at this point, and I 417 00:20:43,160 --> 00:20:43,920 Speaker 1: understand it. 418 00:20:44,520 --> 00:20:45,840 Speaker 2: What if my dog's racist? 419 00:20:46,400 --> 00:20:48,720 Speaker 1: Yeah, I mean, come on, what if your dog has 420 00:20:48,760 --> 00:20:50,440 Speaker 1: like really bad taste in television? 421 00:20:51,240 --> 00:20:54,680 Speaker 2: Yeah you're Oh, what if your dog is just annoying? 422 00:20:54,760 --> 00:20:57,879 Speaker 2: What if your dog just like hums Yeah? What if 423 00:20:57,880 --> 00:21:03,000 Speaker 2: your dog's sitting there like are going hm mm, just 424 00:21:03,040 --> 00:21:05,879 Speaker 2: like makes like weird mouth, Like there's just otherwise, Like, 425 00:21:05,960 --> 00:21:08,080 Speaker 2: my pet's are beautiful and wonderful and I love them 426 00:21:08,119 --> 00:21:10,920 Speaker 2: so much and they make my life so good. They 427 00:21:10,960 --> 00:21:12,000 Speaker 2: really are angels. 428 00:21:12,160 --> 00:21:15,040 Speaker 1: Yeah exactly, can you imagine? 429 00:21:15,440 --> 00:21:17,240 Speaker 2: I know I don't need to well, I mean, Bobby 430 00:21:17,359 --> 00:21:18,200 Speaker 2: talks to me anyway. 431 00:21:18,640 --> 00:21:21,720 Speaker 1: I can understand almost everything that my dogs communicate to me, 432 00:21:22,280 --> 00:21:25,280 Speaker 1: and that's great, and that's where it needs to stay. 433 00:21:25,480 --> 00:21:29,119 Speaker 2: I think BOBU can understand me for sure. Yeah, because 434 00:21:29,119 --> 00:21:30,840 Speaker 2: I have tons of videos to be saying, Bobby, what 435 00:21:30,920 --> 00:21:32,680 Speaker 2: you want and he mAbs at me. I'm saying really, 436 00:21:32,720 --> 00:21:35,399 Speaker 2: he goes now it's okay. Yeah, we're talking. That's what 437 00:21:35,400 --> 00:21:36,200 Speaker 2: I'm telling myself. 438 00:21:37,280 --> 00:21:41,240 Speaker 1: Like Anderson Can, She's right behind me staring at you. 439 00:21:41,320 --> 00:21:42,919 Speaker 2: A legend, the legend. Ye. 440 00:21:43,560 --> 00:21:46,760 Speaker 1: Yeah, she's perfect. But like I think she is more 441 00:21:46,920 --> 00:21:48,959 Speaker 1: self aware about what's going on in the world than 442 00:21:48,960 --> 00:21:49,640 Speaker 1: most humans. 443 00:21:50,440 --> 00:21:52,040 Speaker 2: Yeah, that doesn't surprise me. Yeah. 444 00:21:52,080 --> 00:21:55,679 Speaker 1: Anyways, from justin this was leading into the A bubble 445 00:21:55,680 --> 00:21:58,000 Speaker 1: burst thing. As the AA bubble bursts, what will become 446 00:21:58,119 --> 00:22:01,560 Speaker 1: of the many mediocre customers with overly reliant on it 447 00:22:01,920 --> 00:22:04,200 Speaker 1: for just about everything. That's a great question. 448 00:22:05,200 --> 00:22:07,119 Speaker 2: I think the first thing they're gonna find out is 449 00:22:07,119 --> 00:22:09,439 Speaker 2: they're not reliant on it at all. But that is 450 00:22:09,480 --> 00:22:12,400 Speaker 2: the the first thing they're going to discover is that 451 00:22:12,880 --> 00:22:16,240 Speaker 2: they will never reliant on this stuff. I also think 452 00:22:16,320 --> 00:22:19,960 Speaker 2: that in the event that they were reliant on it, 453 00:22:20,000 --> 00:22:22,520 Speaker 2: they'll choose one of the many open source models. And 454 00:22:22,640 --> 00:22:25,040 Speaker 2: because large language models are not going to disappear, it's 455 00:22:25,080 --> 00:22:28,040 Speaker 2: not like open AI dies tomorrow. Large language models will 456 00:22:28,080 --> 00:22:31,080 Speaker 2: not the hype cycle dies. They will not die. They 457 00:22:31,119 --> 00:22:33,399 Speaker 2: are on device models that videos putting out like a 458 00:22:33,440 --> 00:22:37,280 Speaker 2: three thousand dollar gy think it's the dgx box they're 459 00:22:37,320 --> 00:22:40,040 Speaker 2: doing that can run large language models of a certain parameters. 460 00:22:40,040 --> 00:22:42,840 Speaker 2: Like it's very doable. And there are gonna be people 461 00:22:42,880 --> 00:22:45,680 Speaker 2: who just go, I don't I never really needed this. Yeah, 462 00:22:45,680 --> 00:22:47,720 Speaker 2: there are gonna be those who say, oh, well, I 463 00:22:47,800 --> 00:22:50,320 Speaker 2: use chet GPT for this, that and the other chat 464 00:22:50,480 --> 00:22:53,399 Speaker 2: GPT dot com all forward to copilot, Like you're gonna 465 00:22:53,440 --> 00:22:55,560 Speaker 2: have access to one of these fucking things. You're just 466 00:22:55,640 --> 00:22:58,560 Speaker 2: going to find out what happens when people are not 467 00:22:58,760 --> 00:23:01,040 Speaker 2: told to use this stuff, when people will naturally use it. 468 00:23:01,440 --> 00:23:02,800 Speaker 2: And I think you can kind of see what will 469 00:23:02,800 --> 00:23:05,359 Speaker 2: happen there. Based on the user numbers for these companies 470 00:23:05,440 --> 00:23:08,280 Speaker 2: outside of open Ai, they can barely muster up the 471 00:23:08,320 --> 00:23:11,760 Speaker 2: combined active users of like a free to play game 472 00:23:11,840 --> 00:23:15,440 Speaker 2: that sells your information to the Chinese. Like, I think 473 00:23:15,520 --> 00:23:20,320 Speaker 2: that so much of this demand is artificial too, And 474 00:23:20,400 --> 00:23:23,119 Speaker 2: I think that it's curiosity. People are like, oh, I 475 00:23:23,160 --> 00:23:26,639 Speaker 2: hear about this constantly, I should try it out, and 476 00:23:26,680 --> 00:23:30,560 Speaker 2: then yeah, people are ultimately a bit lazy. I know 477 00:23:30,680 --> 00:23:32,760 Speaker 2: I can be and they're like, oh, I'm in an 478 00:23:32,840 --> 00:23:35,159 Speaker 2: argument with my mate, what do what do about it? 479 00:23:35,240 --> 00:23:37,359 Speaker 2: How do I deal with the argument with my friend? 480 00:23:37,720 --> 00:23:41,199 Speaker 2: Chat gpt? And there will be that people use it 481 00:23:41,200 --> 00:23:43,240 Speaker 2: for that, but I also think that again, that's not 482 00:23:43,280 --> 00:23:46,679 Speaker 2: a business model and people will not care for that. 483 00:23:47,320 --> 00:23:50,120 Speaker 2: So I think the future will be large language models 484 00:23:50,119 --> 00:23:54,160 Speaker 2: with heavy usage limits and premim ones that no one 485 00:23:54,200 --> 00:23:56,840 Speaker 2: pays for really that are just way more expensive. And 486 00:23:56,920 --> 00:23:59,720 Speaker 2: I really do think open Ai eventually cops it. I 487 00:23:59,720 --> 00:24:02,199 Speaker 2: think get absorbed into Microsoft because we don't really have 488 00:24:02,280 --> 00:24:04,720 Speaker 2: antitrust right now, so I. 489 00:24:04,640 --> 00:24:07,760 Speaker 1: Think they'll just get paying for premium. 490 00:24:08,720 --> 00:24:11,760 Speaker 2: Sadly, so they're paying. Open Ai gets like billions of 491 00:24:11,760 --> 00:24:15,280 Speaker 2: dollars through this, but it's like people organizations buying it, 492 00:24:15,320 --> 00:24:18,040 Speaker 2: and you have people think about it like this. If 493 00:24:18,280 --> 00:24:22,320 Speaker 2: every single news outlet everywhere forever for two sorry not forever, 494 00:24:22,560 --> 00:24:25,360 Speaker 2: for two years straight or more has said chat GPT 495 00:24:25,680 --> 00:24:30,520 Speaker 2: AI generative AI, chat GPT, Yeah, billions of billions of 496 00:24:30,520 --> 00:24:33,720 Speaker 2: dollars of revenue. Sure, people will shove money into something 497 00:24:33,800 --> 00:24:36,439 Speaker 2: if they are told to. And on top of that, 498 00:24:36,520 --> 00:24:39,240 Speaker 2: you have tons of business idiots who are just like, yeah, 499 00:24:39,359 --> 00:24:41,399 Speaker 2: I need to put AI in my business, and I 500 00:24:41,440 --> 00:24:44,040 Speaker 2: have the podcast that's coming up. I actually believe our 501 00:24:44,040 --> 00:24:45,640 Speaker 2: economy is run by a lot of people who don't 502 00:24:45,680 --> 00:24:48,080 Speaker 2: do any work, so this shit seems like magic. Of 503 00:24:48,080 --> 00:24:51,200 Speaker 2: course they'll buy it for their entire organization. They don't 504 00:24:51,240 --> 00:24:54,280 Speaker 2: know what the fuck they're doing. Yeah, sure, put chat 505 00:24:54,320 --> 00:24:57,360 Speaker 2: GPT in everything. That's how that works. Oh, here we go. 506 00:24:58,040 --> 00:25:00,600 Speaker 2: And I think that when it goes to way, we'll 507 00:25:00,680 --> 00:25:04,600 Speaker 2: check GPT does. I think that we'll probably see just 508 00:25:04,640 --> 00:25:07,800 Speaker 2: the kind of very boring large language model industry and 509 00:25:07,840 --> 00:25:10,360 Speaker 2: it just it just won't It won't be as prevalent, 510 00:25:10,400 --> 00:25:12,440 Speaker 2: you won't hear about it as much, and it will 511 00:25:12,440 --> 00:25:14,680 Speaker 2: actually be better for the tech. I think. 512 00:25:15,040 --> 00:25:34,080 Speaker 1: All told, and we're back from p I'm going to 513 00:25:34,119 --> 00:25:38,400 Speaker 1: try to get this right. P eight N T B 514 00:25:38,800 --> 00:25:44,520 Speaker 1: A l l n x J. I think I did that. Yeah, 515 00:25:44,640 --> 00:25:49,359 Speaker 1: I think they're trying to say paintball and an ex J. 516 00:25:50,080 --> 00:25:53,639 Speaker 1: All right, the question is ed, what are your favorite 517 00:25:53,640 --> 00:25:55,440 Speaker 1: activities that have nothing to do with the tech? 518 00:25:56,160 --> 00:25:59,960 Speaker 2: Okay, so I have a local basketball court I've been 519 00:26:00,040 --> 00:26:02,720 Speaker 2: going to on my own, and I've been playing basketball 520 00:26:02,760 --> 00:26:05,440 Speaker 2: on my own, which sounds very sad, but no, it does. 521 00:26:05,520 --> 00:26:08,720 Speaker 2: It I do a shit ton of fitness, so last 522 00:26:08,800 --> 00:26:10,840 Speaker 2: year lost a ton of way. I'm down like buck 523 00:26:10,920 --> 00:26:14,160 Speaker 2: sixty five. Now muscle it's great, so I work out 524 00:26:14,200 --> 00:26:16,680 Speaker 2: a lot. The reason I don't bring uplifting is because 525 00:26:16,880 --> 00:26:20,000 Speaker 2: that's tech, Like my tone is a tech thing. Basketball 526 00:26:20,080 --> 00:26:22,879 Speaker 2: is not. It's me, my music and hoop him. And 527 00:26:22,920 --> 00:26:25,320 Speaker 2: I'll tell you I am one of the worst shooters 528 00:26:25,359 --> 00:26:27,600 Speaker 2: of all time. I am so bad at it. But 529 00:26:27,640 --> 00:26:30,080 Speaker 2: I really like rebounding. And I really like the cardio 530 00:26:30,119 --> 00:26:32,120 Speaker 2: thing because I needed a cardio level to go because 531 00:26:32,160 --> 00:26:35,560 Speaker 2: my boxing was kind of stalling. So I really enjoyed 532 00:26:35,680 --> 00:26:38,399 Speaker 2: just like running around for half an hour, like catching 533 00:26:38,400 --> 00:26:40,520 Speaker 2: a ball in the air and shooting it. And then 534 00:26:40,359 --> 00:26:41,119 Speaker 2: I play. 535 00:26:40,920 --> 00:26:42,640 Speaker 1: Basketball with you. 536 00:26:41,880 --> 00:26:46,960 Speaker 2: You will demolish men. I have the cardio. I have 537 00:26:47,040 --> 00:26:49,520 Speaker 2: the cardio, but I am like, how tall are you? 538 00:26:50,040 --> 00:26:51,840 Speaker 1: I'm five three on a good day. 539 00:26:52,320 --> 00:26:54,120 Speaker 2: Okay, yeah I might, I might be all right there, 540 00:26:54,200 --> 00:26:54,880 Speaker 2: I'm five nine. 541 00:26:54,880 --> 00:26:55,119 Speaker 3: I was. 542 00:26:55,320 --> 00:26:57,760 Speaker 1: I was captain of my varsity basketball team. 543 00:26:57,840 --> 00:26:59,680 Speaker 2: Oh then you'll demolish me. Then, okay, you will, you 544 00:26:59,720 --> 00:27:01,199 Speaker 2: will say, and me to hell. You'll be able to 545 00:27:01,200 --> 00:27:02,679 Speaker 2: actually get the ball in the hoop, which is my 546 00:27:02,720 --> 00:27:05,600 Speaker 2: one problem. But I really like that, and I really 547 00:27:05,640 --> 00:27:10,600 Speaker 2: like barbecue, so I have two pellet smokers, which I 548 00:27:10,600 --> 00:27:13,680 Speaker 2: realized to some listeners who do like the wood chunks 549 00:27:13,760 --> 00:27:17,880 Speaker 2: is kind of considered harahm. But fuck you, you purist bastard. 550 00:27:19,119 --> 00:27:21,840 Speaker 2: But I love making ribs. I love making tritip. I 551 00:27:21,880 --> 00:27:24,200 Speaker 2: hate making brisket. It was a few years ago. I 552 00:27:24,280 --> 00:27:28,200 Speaker 2: really I love try tips. My tried tips incredible as well. 553 00:27:28,520 --> 00:27:30,560 Speaker 2: I really enjoy that I do use some tech things. 554 00:27:30,560 --> 00:27:33,000 Speaker 2: I have a combustion thermometer, but really is just a 555 00:27:33,080 --> 00:27:37,600 Speaker 2: giant's steel thing full of smoke that I watch and 556 00:27:37,640 --> 00:27:41,879 Speaker 2: it's great, and it honestly has been really good for me, 557 00:27:42,080 --> 00:27:43,680 Speaker 2: and it allows me to cook for people, which I 558 00:27:43,760 --> 00:27:47,880 Speaker 2: love doing. And yeah, and when I'm waiting for stuff 559 00:27:47,920 --> 00:27:50,840 Speaker 2: to cook, I will stand watching TV outside bouncing the 560 00:27:50,880 --> 00:27:54,040 Speaker 2: basketball around, catching it in the air. I just I 561 00:27:54,080 --> 00:27:56,720 Speaker 2: have some weird habits, as you can probably guess. But 562 00:27:56,800 --> 00:28:00,600 Speaker 2: I really enjoy like being bad at basketball. Honestly have 563 00:28:00,720 --> 00:28:01,400 Speaker 2: not enjoyed. 564 00:28:01,960 --> 00:28:04,000 Speaker 1: Do you like watch basketball? 565 00:28:04,480 --> 00:28:07,719 Speaker 2: I'm getting there. I'm still learning. The people I know 566 00:28:07,760 --> 00:28:11,880 Speaker 2: that like James Harden is constantly at strip clubs or 567 00:28:12,000 --> 00:28:12,720 Speaker 2: being traded. 568 00:28:13,240 --> 00:28:16,040 Speaker 1: I hate him. My brother played against him. In high school. 569 00:28:16,040 --> 00:28:17,879 Speaker 1: It's been an asshole since he was a child. 570 00:28:18,320 --> 00:28:21,119 Speaker 2: Yeah, and he seems to like enjoy like tricking people 571 00:28:21,119 --> 00:28:23,800 Speaker 2: into doing fowls. But I just I'd like him more 572 00:28:23,840 --> 00:28:25,760 Speaker 2: if he was ruder, like if he was more of 573 00:28:25,760 --> 00:28:28,600 Speaker 2: a heel, if he like, like was like the fans 574 00:28:28,640 --> 00:28:28,880 Speaker 2: a bit. 575 00:28:29,160 --> 00:28:31,520 Speaker 1: I mean, okay, prop Ian and I can teach you. 576 00:28:32,320 --> 00:28:33,760 Speaker 2: I would love to learn basketball. 577 00:28:34,359 --> 00:28:39,160 Speaker 1: You're a Lakers, by the way. Cool, it's good you've 578 00:28:39,200 --> 00:28:40,280 Speaker 1: been assigned. 579 00:28:40,760 --> 00:28:43,720 Speaker 2: Baseball as well. I really enjoyed baseball or going to 580 00:28:43,760 --> 00:28:47,320 Speaker 2: baseball a few years ago. I really enjoy going to baseball. 581 00:28:47,360 --> 00:28:50,600 Speaker 2: Don't really enjoy watching it on TV like I can, 582 00:28:50,880 --> 00:28:52,880 Speaker 2: but I need to like have a reason name there, 583 00:28:52,960 --> 00:28:55,080 Speaker 2: Like it needs to be like a like an LDS 584 00:28:55,240 --> 00:28:58,080 Speaker 2: or something. I'm like a Dodger's padres Mets fan. It's 585 00:28:58,120 --> 00:29:00,960 Speaker 2: a whole mess. Really, I'm more of a game. I'm 586 00:29:00,960 --> 00:29:03,920 Speaker 2: like the Rob Low wearing the NFL hat guy. I'm 587 00:29:03,960 --> 00:29:06,240 Speaker 2: just like, I'm here for the game. But I really do. 588 00:29:06,840 --> 00:29:10,040 Speaker 2: I really enjoy baseball, And with that in mind, I 589 00:29:10,080 --> 00:29:12,560 Speaker 2: also enjoy but I haven't been for a while going 590 00:29:12,560 --> 00:29:16,280 Speaker 2: to a batting cage. I really enjoyed batting cages. It's 591 00:29:16,360 --> 00:29:19,400 Speaker 2: just especially when you're on the computer all the time, 592 00:29:19,680 --> 00:29:22,360 Speaker 2: you're looking at screens of the time, and you just 593 00:29:22,400 --> 00:29:24,920 Speaker 2: go and you hit a ball that's like thrown at 594 00:29:24,960 --> 00:29:27,800 Speaker 2: you at seventy miles an hour. It's very difficult, but again, 595 00:29:28,000 --> 00:29:28,600 Speaker 2: really enjoy it. 596 00:29:28,640 --> 00:29:30,640 Speaker 1: How do you feel about like mini golf and like 597 00:29:30,680 --> 00:29:31,680 Speaker 1: the driving range? 598 00:29:31,800 --> 00:29:34,480 Speaker 2: I do. I like mini golf. Never done a driving range, though, 599 00:29:34,600 --> 00:29:34,960 Speaker 2: I like. 600 00:29:34,960 --> 00:29:36,720 Speaker 1: Mini golf a lot. Mini golf is great, you know, 601 00:29:36,760 --> 00:29:40,160 Speaker 1: I don't. I don't like that like what's it called 602 00:29:40,680 --> 00:29:44,880 Speaker 1: the like yassified like driving range where they're oh top golf. Yeah, 603 00:29:44,920 --> 00:29:46,520 Speaker 1: I really don't enjoy top golf. 604 00:29:47,480 --> 00:29:52,120 Speaker 2: Oh it's just I've never like really known where you'd go. 605 00:29:52,200 --> 00:29:54,120 Speaker 2: I guess it just felt like a driving range to me. 606 00:29:54,160 --> 00:29:56,520 Speaker 2: And it's like, I like mini golf. I think minigal's 607 00:29:56,520 --> 00:29:57,200 Speaker 2: fun and silly. 608 00:29:57,360 --> 00:30:00,160 Speaker 1: I like like a really like old school minigol of 609 00:30:00,280 --> 00:30:01,800 Speaker 1: course that you know has been there. 610 00:30:01,720 --> 00:30:03,480 Speaker 2: Forever and like, yeah, it's kind of shit. 611 00:30:03,600 --> 00:30:05,760 Speaker 1: It's shit in the town and there's like no tech. 612 00:30:05,840 --> 00:30:09,680 Speaker 1: It's just like really bad like wood in wood in art, 613 00:30:09,840 --> 00:30:11,480 Speaker 1: and it's just hilarious. 614 00:30:11,520 --> 00:30:13,120 Speaker 2: I'm not sure if it's meant to go in the 615 00:30:13,160 --> 00:30:18,000 Speaker 2: certain place you keep playing anywhere. Bowling no, So I 616 00:30:18,080 --> 00:30:21,760 Speaker 2: have a coordinational disability call dyspraxia, which is really weird. 617 00:30:21,800 --> 00:30:25,360 Speaker 2: I realize basketball has honestly beat an exploration of how 618 00:30:25,520 --> 00:30:28,200 Speaker 2: prevalent that is in my life though, because I could 619 00:30:28,200 --> 00:30:31,880 Speaker 2: not dribble the ball when I started, like I physically 620 00:30:31,960 --> 00:30:35,120 Speaker 2: could not, I would get maybe three or four bounces 621 00:30:35,160 --> 00:30:37,440 Speaker 2: before I drop it. Now I can run at full 622 00:30:37,480 --> 00:30:41,160 Speaker 2: speed up and down the court, dribbling, changing hands, I 623 00:30:41,200 --> 00:30:44,160 Speaker 2: can turn around, I can grab the ball in the air. 624 00:30:44,320 --> 00:30:46,640 Speaker 2: So it's been this weird exploration. So bowling might be 625 00:30:46,680 --> 00:30:48,920 Speaker 2: one of those things where maybe if I try it more. 626 00:30:49,560 --> 00:30:52,680 Speaker 1: I don't know the sticking your fingers into dirty holes 627 00:30:52,760 --> 00:30:54,200 Speaker 1: thing is I can. 628 00:30:55,080 --> 00:30:58,680 Speaker 2: We all been there, but it's it's it's one of 629 00:30:58,680 --> 00:31:01,840 Speaker 2: those things where six months ago I would have said no. 630 00:31:02,120 --> 00:31:05,320 Speaker 2: But the basketball side again on screens all day. So 631 00:31:05,440 --> 00:31:08,400 Speaker 2: like my achievements are all typing, but like being able 632 00:31:08,480 --> 00:31:10,200 Speaker 2: to grab a ball out of the air, being able 633 00:31:10,200 --> 00:31:13,920 Speaker 2: to actually rebound successfully, it's thrilling. I really enjoy it. 634 00:31:14,160 --> 00:31:16,360 Speaker 2: And it's like something where I can't look at a screen. 635 00:31:16,400 --> 00:31:17,960 Speaker 2: I have to look at where I'm going to miss. 636 00:31:17,720 --> 00:31:21,120 Speaker 1: Next I'm telling I'm going to text Ian and prop 637 00:31:21,200 --> 00:31:24,840 Speaker 1: right now. We're going to give you a full basketball education. 638 00:31:25,160 --> 00:31:27,960 Speaker 2: I would love that. I would genuinely love that Casey 639 00:31:28,040 --> 00:31:29,840 Speaker 2: could go off. Friends of the Show got me into 640 00:31:29,840 --> 00:31:32,360 Speaker 2: baseball in the same way that's how I get into sport. 641 00:31:32,600 --> 00:31:34,800 Speaker 2: I also do watch the NFL, but I think saying 642 00:31:34,840 --> 00:31:38,840 Speaker 2: I like the Raiders is a stretch. It's like attending 643 00:31:38,880 --> 00:31:40,520 Speaker 2: a year's long class action suit. 644 00:31:40,600 --> 00:31:42,600 Speaker 1: That was the weirdest thing that's ever coming out of 645 00:31:42,680 --> 00:31:46,880 Speaker 1: your mouth. The Raider, I know, locationally sure, but like 646 00:31:47,120 --> 00:31:48,960 Speaker 1: to actually like the Raiders, you have to be a 647 00:31:48,960 --> 00:31:52,320 Speaker 1: specific type of person, which you are not. Well. 648 00:31:52,360 --> 00:31:55,280 Speaker 2: The funny thing is is Arifasan from sixty Minute Drill 649 00:31:55,680 --> 00:31:58,120 Speaker 2: Football podcast I Do laughed at me once because he 650 00:31:58,120 --> 00:31:59,960 Speaker 2: asked on the part he said, why'd you get in 651 00:32:00,080 --> 00:32:01,760 Speaker 2: the Raiders? I was like, Oh, I lived in Oakland 652 00:32:01,760 --> 00:32:04,520 Speaker 2: at the time and the season tickets really cheap. But 653 00:32:04,600 --> 00:32:06,600 Speaker 2: he just goes, you got into a football team because 654 00:32:06,640 --> 00:32:09,800 Speaker 2: of market conditions, And that is something that will haunt 655 00:32:09,840 --> 00:32:12,719 Speaker 2: me for the rest of my life because it's true. However, 656 00:32:12,760 --> 00:32:15,520 Speaker 2: the team might be good this year, maybe yeah, but 657 00:32:16,840 --> 00:32:21,840 Speaker 2: I haven't had hope before so who cares? Yeah. Oh, 658 00:32:21,920 --> 00:32:24,680 Speaker 2: and also the show JoJo's Bizarre Adventure. That's another thing 659 00:32:24,720 --> 00:32:26,440 Speaker 2: I really like. I don't want to get me talking. 660 00:32:26,320 --> 00:32:29,360 Speaker 1: About that, is that the question about Jojo. 661 00:32:29,240 --> 00:32:31,080 Speaker 2: Is, yeah, there's you can skip that. 662 00:32:31,800 --> 00:32:33,200 Speaker 1: I was like, I don't know what that is. I'm 663 00:32:33,200 --> 00:32:33,760 Speaker 1: not gonna I. 664 00:32:34,560 --> 00:32:36,480 Speaker 2: Would have to explain a bunch of stuff. 665 00:32:37,160 --> 00:32:40,600 Speaker 1: I'm not like that one over in my head. I'll 666 00:32:40,640 --> 00:32:42,600 Speaker 1: ask one more serious one and then we'll do the cats. 667 00:32:42,720 --> 00:32:43,760 Speaker 2: Sounds good, all right? 668 00:32:44,040 --> 00:32:46,680 Speaker 1: Um, I just wonder if I want to ask that's serious? 669 00:32:47,680 --> 00:32:47,800 Speaker 2: Eh? 670 00:32:47,840 --> 00:32:49,920 Speaker 1: This comes from Eric. How the fuck is anyone supposed 671 00:32:49,920 --> 00:32:51,520 Speaker 1: to make anything cool and make a living out of 672 00:32:51,600 --> 00:32:53,760 Speaker 1: music anymore? I quit touring to be with my kid, 673 00:32:53,880 --> 00:32:56,200 Speaker 1: but all the avenues I was going to explore and 674 00:32:56,200 --> 00:32:58,760 Speaker 1: crumble under my feet. I think that's a good question. 675 00:32:58,800 --> 00:33:00,640 Speaker 1: I think that's like music, but it's also just like, 676 00:33:00,640 --> 00:33:02,680 Speaker 1: how the fuck are you supposed to create anything anymore? 677 00:33:03,800 --> 00:33:07,200 Speaker 2: I think the thing that the problem is that it 678 00:33:07,240 --> 00:33:09,200 Speaker 2: was never really a good way of making money before, 679 00:33:09,760 --> 00:33:12,160 Speaker 2: and the Internet had this explosion of where it was 680 00:33:12,200 --> 00:33:14,480 Speaker 2: good to it was good to make money for a bit, 681 00:33:14,800 --> 00:33:17,600 Speaker 2: but there were only so many people who could I 682 00:33:17,640 --> 00:33:21,800 Speaker 2: mean iHeartRadio, and cool Zone came to me and I 683 00:33:21,840 --> 00:33:24,400 Speaker 2: did the podcast because they could pay like I wouldn't 684 00:33:24,440 --> 00:33:27,280 Speaker 2: have done. Like the idea of starting a podcast and 685 00:33:27,360 --> 00:33:31,240 Speaker 2: like building an audience and selling ads sounds nightmarish to me. 686 00:33:31,480 --> 00:33:34,600 Speaker 2: I can't imagine being a musician right now. It seems 687 00:33:34,680 --> 00:33:36,640 Speaker 2: the way that musicians I know are making money are 688 00:33:36,680 --> 00:33:41,000 Speaker 2: skipping streaming services, doing a shit ton of touring, doing 689 00:33:41,120 --> 00:33:44,320 Speaker 2: much like kind of old school measures. I know. These 690 00:33:44,320 --> 00:33:47,240 Speaker 2: aren't really good answers I have. I can only sing. 691 00:33:47,280 --> 00:33:49,280 Speaker 2: I can't play any musical instruments I wish I could. 692 00:33:49,680 --> 00:33:52,160 Speaker 2: I've never toured with anyone or have experience with that. 693 00:33:52,280 --> 00:33:54,840 Speaker 2: But my general thing with creators right now is and 694 00:33:54,880 --> 00:33:57,640 Speaker 2: the only really good advice I've ever had is find 695 00:33:57,680 --> 00:34:00,240 Speaker 2: whatever is easiest to do that. The reason I do 696 00:34:00,320 --> 00:34:04,600 Speaker 2: my newsletter is though they're very long, I enjoy doing 697 00:34:04,640 --> 00:34:07,240 Speaker 2: it and it isn't its work, I guess, but it 698 00:34:07,320 --> 00:34:12,360 Speaker 2: comes very naturally. I don't do anything that doesn't. I 699 00:34:12,400 --> 00:34:15,399 Speaker 2: find ways to streamline things that I don't like doing, 700 00:34:15,520 --> 00:34:18,200 Speaker 2: like I think anyone does, and I obviously like run 701 00:34:18,800 --> 00:34:20,719 Speaker 2: like a poff them and another thing, so like I 702 00:34:20,760 --> 00:34:23,040 Speaker 2: need to make sure my time is used well. But 703 00:34:23,080 --> 00:34:25,560 Speaker 2: the big thing is is I don't know how anyone 704 00:34:25,600 --> 00:34:28,719 Speaker 2: does anything independently anymore. The newsletter, I think I could 705 00:34:28,719 --> 00:34:32,920 Speaker 2: have monetized, but the best advice I got there was 706 00:34:32,920 --> 00:34:36,240 Speaker 2: from Drew Drew Fairweather. So I'm married to the sea 707 00:34:36,840 --> 00:34:39,560 Speaker 2: the shares. I was just keep creating stuff, which I 708 00:34:39,560 --> 00:34:42,800 Speaker 2: know is deeply unsatisfying. But the mistake that people get 709 00:34:42,840 --> 00:34:46,080 Speaker 2: pulled into is they're like, Okay, so I've got Patreon, 710 00:34:46,160 --> 00:34:47,920 Speaker 2: I've got this, what platforms am I on? I'm on 711 00:34:47,960 --> 00:34:50,640 Speaker 2: the platform on this platform, my posting to social my 712 00:34:50,760 --> 00:34:53,080 Speaker 2: posting to LinkedIn, on my own my own Instagram? Do 713 00:34:53,160 --> 00:34:55,680 Speaker 2: I have Instagram clips? To have this? All of that 714 00:34:55,760 --> 00:34:58,480 Speaker 2: time could be spent making something. And indeed, this is 715 00:34:58,520 --> 00:35:00,799 Speaker 2: advice that I got from Sophie and Rob failure. Just 716 00:35:00,840 --> 00:35:04,200 Speaker 2: fucking record, just go for it. You will never be perfect, 717 00:35:04,280 --> 00:35:07,080 Speaker 2: you will never be able to do a flawless episode 718 00:35:07,120 --> 00:35:09,920 Speaker 2: of flawless product. What will come through is that you 719 00:35:10,000 --> 00:35:12,520 Speaker 2: care about doing it and you're actually fucking doing it. 720 00:35:12,600 --> 00:35:15,600 Speaker 2: Because so many people get obsessed with the social media 721 00:35:15,719 --> 00:35:18,440 Speaker 2: of it, or with the push it like with the 722 00:35:18,880 --> 00:35:21,200 Speaker 2: I must hit content every week in this way, in 723 00:35:21,239 --> 00:35:23,239 Speaker 2: this perfect way, with all these clips that I must 724 00:35:23,280 --> 00:35:27,120 Speaker 2: resemble another content creator, when what really comes down to 725 00:35:27,200 --> 00:35:30,319 Speaker 2: is just push it out. Try stuff. Another great bit 726 00:35:30,360 --> 00:35:32,960 Speaker 2: of advice I got was some oneerful Matt Weinberger. You 727 00:35:33,040 --> 00:35:36,360 Speaker 2: speak business inside, a great editor, great writer, and he said, 728 00:35:37,000 --> 00:35:40,000 Speaker 2: look to hit singles rather than home runs. You want 729 00:35:40,000 --> 00:35:43,759 Speaker 2: to just keep putting stuff out regularly enough you get 730 00:35:43,800 --> 00:35:46,560 Speaker 2: feedback that you get the natural feeling of what bangs 731 00:35:47,320 --> 00:35:50,640 Speaker 2: before you even finish it. That way, it will have 732 00:35:50,719 --> 00:35:54,000 Speaker 2: more mass appeal because you'll learn more from people's reaction 733 00:35:54,239 --> 00:35:57,160 Speaker 2: and from creating stuff than you ever will from doing 734 00:35:57,160 --> 00:35:59,759 Speaker 2: a perfect social campaign, from following the right people, from 735 00:35:59,800 --> 00:36:03,640 Speaker 2: having enough ree tweets. In this the beginning sucks. When 736 00:36:03,680 --> 00:36:06,680 Speaker 2: I started, I already had somewhat of a following. Ironically, 737 00:36:06,719 --> 00:36:12,839 Speaker 2: from pr I can, I can only recommend just creating more. 738 00:36:13,000 --> 00:36:15,600 Speaker 2: I realized this is kind of an unsatisfying answer, but 739 00:36:16,080 --> 00:36:20,399 Speaker 2: there are no good ones here. Discovery sucks on everything now. 740 00:36:21,719 --> 00:36:24,640 Speaker 1: When I started his podcast, he was like, I'm terrible, 741 00:36:24,680 --> 00:36:30,520 Speaker 1: and I'm like, keep doing it. 742 00:36:30,600 --> 00:36:33,040 Speaker 2: Now they have to tell me to do less. 743 00:36:33,520 --> 00:36:38,120 Speaker 1: It's true. Last question from Carolina. They say I have 744 00:36:38,120 --> 00:36:40,960 Speaker 1: an underlying curiosity to hear what your cat's favorite toys 745 00:36:40,960 --> 00:36:43,160 Speaker 1: are and if they like chuu is that how you 746 00:36:43,160 --> 00:36:43,680 Speaker 1: pronounced that? 747 00:36:44,280 --> 00:36:46,600 Speaker 2: Yeah? Judo? Is this last? 748 00:36:47,480 --> 00:36:47,960 Speaker 1: Yeah? 749 00:36:48,200 --> 00:36:50,879 Speaker 2: This goop? I have yet to give my cats the goop. 750 00:36:51,560 --> 00:36:57,120 Speaker 2: So Babu pokey Howl doesn't really like I am his toy. 751 00:36:57,160 --> 00:36:59,200 Speaker 2: He comes and sits on me. He bites my hand occasion, 752 00:36:59,239 --> 00:37:01,840 Speaker 2: he purs the lies down. He's a big, big softie. 753 00:37:01,920 --> 00:37:05,440 Speaker 2: Same with Tingis Pingers. Tingus Pingus doesn't really play pokem 754 00:37:05,520 --> 00:37:09,640 Speaker 2: Barbou's favorite toys each other. They chase each other two bengals. 755 00:37:09,640 --> 00:37:12,120 Speaker 2: They just bolt around the house. They don't do it much. 756 00:37:12,640 --> 00:37:15,160 Speaker 2: I have one of those cat wheels. Baboo will go 757 00:37:15,200 --> 00:37:17,759 Speaker 2: and run on it for fifteen seconds. He will walk 758 00:37:17,800 --> 00:37:21,840 Speaker 2: over meow, run on it, get ahead of steam and 759 00:37:21,840 --> 00:37:24,719 Speaker 2: then stop and then sit down on him. They like 760 00:37:24,760 --> 00:37:28,520 Speaker 2: the classic dangly toys. They like to jump Babo. We 761 00:37:28,600 --> 00:37:31,399 Speaker 2: have like a river in the wall where we put 762 00:37:31,440 --> 00:37:34,719 Speaker 2: something very high with like one of the Dangly ones, 763 00:37:34,760 --> 00:37:37,600 Speaker 2: and Bubba will just do these insane like six foot 764 00:37:37,760 --> 00:37:41,319 Speaker 2: tool jumps. He loves oh, he loves it. He loves it. 765 00:37:41,600 --> 00:37:45,040 Speaker 2: And yes, of course boxes. Anytime I get a box 766 00:37:45,120 --> 00:37:46,960 Speaker 2: they get they want to get in that. They want 767 00:37:46,960 --> 00:37:49,759 Speaker 2: to play in the box, the twist tie things. I 768 00:37:49,800 --> 00:37:53,400 Speaker 2: get cheap toys for them because they seem just as happy. 769 00:37:54,960 --> 00:37:57,440 Speaker 2: Another thing is, this isn't really a toy, but I 770 00:37:57,520 --> 00:38:00,160 Speaker 2: got one of these donut beds for the cats and 771 00:38:00,200 --> 00:38:02,160 Speaker 2: they didn't use it for a year, and then one 772 00:38:02,239 --> 00:38:04,640 Speaker 2: day I found, in the space of twenty four hours, 773 00:38:04,680 --> 00:38:07,160 Speaker 2: all three of them trying the doughnut hole in the middle. 774 00:38:07,440 --> 00:38:10,560 Speaker 2: Now Pingus mostly uses it. I have never tried giving 775 00:38:10,560 --> 00:38:13,120 Speaker 2: them turu. I am now going to get some turu 776 00:38:13,120 --> 00:38:14,799 Speaker 2: and try, just because have you. 777 00:38:14,800 --> 00:38:20,920 Speaker 1: Tried one of those like glove brushes my best friend's cats. 778 00:38:21,040 --> 00:38:23,000 Speaker 1: I go to their house and I just sit there 779 00:38:23,000 --> 00:38:24,120 Speaker 1: with the brush and they're just so. 780 00:38:24,320 --> 00:38:27,319 Speaker 2: I get one of them and I use it a 781 00:38:27,360 --> 00:38:30,040 Speaker 2: few times, and it never seems to there is always 782 00:38:30,080 --> 00:38:31,640 Speaker 2: more hair. So I think I need to get a 783 00:38:31,640 --> 00:38:32,240 Speaker 2: deeper groom. 784 00:38:32,440 --> 00:38:34,600 Speaker 1: Not even for the brush, it's not even for the 785 00:38:34,880 --> 00:38:36,000 Speaker 1: grooming or they love it. 786 00:38:36,040 --> 00:38:38,680 Speaker 2: They love it. Yeah, I pull that thing out sometimes 787 00:38:38,760 --> 00:38:42,160 Speaker 2: when Pingus, I don't know, he looks particularly cute, yeah, 788 00:38:42,160 --> 00:38:44,520 Speaker 2: and I just go and pick it. I go and 789 00:38:44,680 --> 00:38:47,040 Speaker 2: pick him up and sit down and start like grooming him, 790 00:38:47,080 --> 00:38:50,640 Speaker 2: like blowfeld but with a giant kind of like blue 791 00:38:50,680 --> 00:38:56,000 Speaker 2: spiky glove. Looks very sinister, but he really, he really, 792 00:38:56,040 --> 00:38:58,799 Speaker 2: Pingus is the sweetie. He's the sweetest of them, all 793 00:38:58,840 --> 00:39:01,400 Speaker 2: of them is. I'm blessed my beautiful cats and my 794 00:39:01,440 --> 00:39:04,360 Speaker 2: friends as well, but my cats. Really, I genuinely believe 795 00:39:04,360 --> 00:39:07,600 Speaker 2: that cats echo something about their owners. So if you 796 00:39:07,640 --> 00:39:11,520 Speaker 2: have someone with like super dysfunctional cats as a reason. 797 00:39:11,960 --> 00:39:15,360 Speaker 1: Yeah, right, yeah, I feel that way about my dogs. 798 00:39:15,400 --> 00:39:17,640 Speaker 1: They are me and I am them. 799 00:39:18,239 --> 00:39:21,439 Speaker 2: Well, they're wonderful dogs. I've yet to meet them, though, 800 00:39:21,640 --> 00:39:25,080 Speaker 2: wonder how will you have to make it? Yeah you will, 801 00:39:25,880 --> 00:39:28,680 Speaker 2: but yeah, I am going to get Churu off to this. 802 00:39:29,640 --> 00:39:32,239 Speaker 1: I actually have some because they gave it to me. 803 00:39:32,320 --> 00:39:35,560 Speaker 2: To thought you were going to say you were eating some. 804 00:39:35,680 --> 00:39:38,359 Speaker 1: No, somebody gave somebody and when I when I they 805 00:39:38,480 --> 00:39:40,319 Speaker 1: was like trying to it was it's like a in 806 00:39:40,360 --> 00:39:44,120 Speaker 1: like a like a for like pill pill hiding for pets. 807 00:39:44,120 --> 00:39:46,120 Speaker 1: Somebody gave it to me as like a thing. But 808 00:39:46,320 --> 00:39:48,520 Speaker 1: turns out Truman will eat it, eat it, eat a 809 00:39:48,520 --> 00:39:51,560 Speaker 1: pill out of my hand, just all a cart. She 810 00:39:51,600 --> 00:39:55,000 Speaker 1: doesn't need the true perfect dog. She's an angel. She's 811 00:39:55,000 --> 00:39:58,040 Speaker 1: a good girl. Well, yeah, you did the you did 812 00:39:58,040 --> 00:39:59,360 Speaker 1: the mailbag. You did did. 813 00:39:59,239 --> 00:40:01,560 Speaker 2: The mail bag. I will do another one of these 814 00:40:01,600 --> 00:40:03,680 Speaker 2: in maybe a month or two. I love doing this. 815 00:40:04,080 --> 00:40:06,879 Speaker 2: I love hearing from all of you. And genuinely thank 816 00:40:06,920 --> 00:40:10,160 Speaker 2: you to all the listeners who reach out regularly, because 817 00:40:10,680 --> 00:40:13,560 Speaker 2: if I say so much as something negative about myself, 818 00:40:13,600 --> 00:40:16,560 Speaker 2: you are all very reassuring and you refuse to accept it. 819 00:40:16,600 --> 00:40:19,120 Speaker 2: I love you all genuinely. I'm blessed to have you, 820 00:40:19,360 --> 00:40:22,600 Speaker 2: so thank you for listening. And yeah, until next time, Sophie, 821 00:40:22,680 --> 00:40:23,880 Speaker 2: thank you for being on with me. 822 00:40:24,920 --> 00:40:28,120 Speaker 1: Of course, of course I can't wait to teach you 823 00:40:28,160 --> 00:40:31,120 Speaker 1: more about basketball, prop and Ian or are the group 824 00:40:31,200 --> 00:40:33,640 Speaker 1: chat has decided You're You're in the club. You made it. 825 00:40:33,719 --> 00:40:37,880 Speaker 2: Hell yeah, I'll look forward to it. Thank you for listening, everyone, 826 00:40:44,080 --> 00:40:46,520 Speaker 2: Thank you for listening to Better Offline. The editor and 827 00:40:46,560 --> 00:40:49,719 Speaker 2: composer of the Better Offline theme song is Matasowski. You 828 00:40:49,719 --> 00:40:51,960 Speaker 2: can check out more of his music and audio projects 829 00:40:52,120 --> 00:40:55,600 Speaker 2: at Matasowski dot com, M A T T O s 830 00:40:55,719 --> 00:40:59,759 Speaker 2: O W s ki dot com. You can email me 831 00:40:59,760 --> 00:41:02,800 Speaker 2: at a Better offline dot com or visit Better Offline 832 00:41:02,800 --> 00:41:04,919 Speaker 2: dot com to find more podcast links and of course 833 00:41:04,920 --> 00:41:08,040 Speaker 2: my newsletter. I also really recommend you go to chat 834 00:41:08,080 --> 00:41:10,719 Speaker 2: dot Where's youread dot at to visit the discord, and 835 00:41:10,760 --> 00:41:13,440 Speaker 2: go to our slash Better Offline to check out I'll Reddit. 836 00:41:14,239 --> 00:41:15,600 Speaker 2: Thank you so much for listening. 837 00:41:16,440 --> 00:41:19,120 Speaker 4: Better Offline is a production of cool Zone Media. For 838 00:41:19,239 --> 00:41:22,400 Speaker 4: more from cool Zone Media, visit our website cool Zonemedia 839 00:41:22,480 --> 00:41:25,279 Speaker 4: dot com, or check us out on the iHeartRadio app, 840 00:41:25,360 --> 00:41:28,040 Speaker 4: Apple Podcasts, or wherever you get your podcasts.