Episode #24: The Future of AI

[00:00:00.000 --> 00:00:05.440] and welcome back to the big cheese podcast. I'm your host Brandon Corbin filling in for DeAndre [00:00:05.440 --> 00:00:12.960] because he's out in California doing some stuff for his new startup. I am the 15th best moderator. [00:00:12.960 --> 00:00:18.480] Thank you very much. Actually, I'm probably like the worst moderator and of all of moderators. [00:00:18.480 --> 00:00:24.720] And so today we're going to be talking about our predictions, except for Jacob because he doesn't [00:00:24.720 --> 00:00:31.760] have any. Our predictions of what AI is going to happen within the next 10 years. So next week [00:00:31.760 --> 00:00:36.320] in the week following, we're actually going to have two very pragmatic shows. It's going to be [00:00:36.320 --> 00:00:40.240] about marketing for one and then the other is going to be personal finance. So we figured let's [00:00:40.240 --> 00:00:44.960] step back and try to have a little bit loosey goosey one that's not as pragmatic and might not have [00:00:44.960 --> 00:00:51.680] any bearing on the future whatsoever. So with that, who would like to start on a prediction of where [00:00:51.680 --> 00:00:58.000] AI is going to go in the next 10 years? Apple's stock's going to be 1,000 and have split twice. [00:00:58.000 --> 00:01:05.280] So you came in today with the show talking very excitedly about Apple. [00:01:05.280 --> 00:01:14.080] Well, they're stock popped and I honestly, so two things. Apple, last year when they said they [00:01:14.080 --> 00:01:20.000] were doing the Apple Vision Pro, I thought that that was going to be something big and their company [00:01:20.000 --> 00:01:27.760] did well financially, obviously they always do, and that their stock just steadily rose after that [00:01:27.760 --> 00:01:32.800] announcement up through the release. And it's kind of like subsided a little bit. And we've been doing [00:01:32.800 --> 00:01:41.120] so much research on AI and my whole narrative that I've been pushing on Reddit in this podcast [00:01:41.120 --> 00:01:47.280] into Jacob to everybody is that Apple's going to do well in the AI space. I actually posted on Reddit [00:01:47.920 --> 00:01:56.240] about realm and someone responded, hey, you know, great, but are they going to make money? I said, [00:01:56.240 --> 00:02:02.480] well, what's the what's the market of AI spend in revenue in the next 10 years? I just put a huge [00:02:02.480 --> 00:02:07.920] chunk to Apple. And so they do not have a lot of information, but I know that they announced or [00:02:07.920 --> 00:02:13.280] they are putting into production their M4 chip. And that's that's the AI powered chip. So that's [00:02:13.280 --> 00:02:17.760] what's going to hopefully ship with these models and be able to right to do AI on the device. [00:02:17.760 --> 00:02:22.480] Right. So that would make sense because we were talking before where they were saying that they [00:02:22.480 --> 00:02:26.720] were seeing the speeds about the same, you know, the same speeds as you were getting on device that [00:02:26.720 --> 00:02:31.600] you would get with Chad GBT. So it would make sense that it would have to be a new chip and it's going [00:02:31.600 --> 00:02:34.720] to be a new chip that we're all going to have to pop down. Yeah, I mean, at this at that point, [00:02:34.720 --> 00:02:39.760] right, like that that's where you get a I don't know what the refresh rate device refresh rate is [00:02:39.760 --> 00:02:44.240] for Apple, but you look at like the last couple of years, it's been like, okay, the lens, it's [00:02:44.240 --> 00:02:48.800] got a lens that's got three lenses and you know what I mean? It's like, I don't know what we talked [00:02:48.800 --> 00:02:54.320] about it last week, but I just saw an article that was like, all right, the people just aren't [00:02:54.320 --> 00:02:59.040] going out and buying new iPhones anymore. It's like they were, right? It's more commoditized, like, [00:02:59.040 --> 00:03:04.960] okay, what's the big difference 16 has is going to have a great camera. Cool. But like, there's nothing [00:03:04.960 --> 00:03:10.240] about it. Now you're talking AI in the old and like, it's good to force how to get in the lab, [00:03:10.240 --> 00:03:16.560] I think, probably since last year around November or whatever when we talked about when chat GPT [00:03:16.560 --> 00:03:20.160] came out. They're spending a ton on our research and development, by the way. I mean, they just [00:03:20.160 --> 00:03:26.480] killed their car and the other. They moved the car to the day they are on the robotics, the people. [00:03:26.480 --> 00:03:32.640] Yeah, yeah. But I haven't heard anything about the car. So they totally [00:03:32.640 --> 00:03:40.160] Kibosh their car, which is funny. No more I car. So if you're a bear on Apple, you look at some [00:03:40.160 --> 00:03:44.880] of their failed endeavors and they're no, Steve Jobs ain't coming through that door of Johnny I've [00:03:44.880 --> 00:03:51.760] even. But yeah, I think for the next 10 years, we need to talk a little bit more, you know, [00:03:51.760 --> 00:03:57.120] I guess with a little bit more grandiose, but I came in with my chest puffed out because I want [00:03:57.120 --> 00:04:04.400] Apple. It's the M four is the next 10 years. Yeah, and I have an M one and like, I'd love to see [00:04:04.400 --> 00:04:08.320] what the what the newer ones can do, you know what I mean? The fact that they're coming out with [00:04:08.320 --> 00:04:14.720] these two every year, it's very impressive. So for people who don't know, Apple took control of [00:04:14.720 --> 00:04:21.920] their chip manufacturing and chip design about into what almost four years ago now. I think that's [00:04:21.920 --> 00:04:27.120] about right. And they started releasing their own chips and those chips are using the arm [00:04:27.120 --> 00:04:32.160] architecture, which is what you typically see in like Microsoft or Windows machines, right? [00:04:32.160 --> 00:04:38.480] Windows is x86 and the arm is was typically, I believe, on like more devices. Yeah, more. Yeah, [00:04:38.480 --> 00:04:44.800] more like on. Well, I think like the surface, I don't know whatever. Oh, yeah. So you would have [00:04:44.800 --> 00:04:50.640] like tablets and things that had like low power requirements would leverage arm because it was [00:04:50.640 --> 00:04:56.400] so efficient, which is why the M ones and or the M series is so great, because you can have like [00:04:56.400 --> 00:05:00.800] 24 hours of battery life and be running at the old time. Is anybody running an M three here? I'm [00:05:00.800 --> 00:05:05.680] running M one. Okay, so you got an M one. I've got an M two. You've got an M two. Yeah. Yeah. So I [00:05:05.680 --> 00:05:11.040] would be curious. I know that when they did the M three, there was some band like memory bandwidth [00:05:11.040 --> 00:05:16.480] was actually reduced. And so some people were kind of complaining about that versus the like the [00:05:16.480 --> 00:05:22.400] max M two or whatever. So I'll be curious to see what I mean, I haven't heard a fan going off in [00:05:22.400 --> 00:05:28.160] a minute. No, no, I get everything. Every once in a while, I'll get like weird video playback [00:05:28.160 --> 00:05:33.280] issues. It'll be like really shocked in the beginning. And then it's fine. But you know, that's [00:05:33.280 --> 00:05:37.440] it. It's almost like what do we call it? The hardware cliff thing? What's what's that concept [00:05:37.440 --> 00:05:41.120] you were mentioning where the hardware is ahead of the software? Yeah, yeah, the overhang. [00:05:41.120 --> 00:05:46.000] The overhang. And I think we're at an I think I think what Apple's doing to the ecosystem is [00:05:46.000 --> 00:05:50.400] they're going to create this big overhang. It is funny to me though, how we keep having this [00:05:50.400 --> 00:05:55.200] ebb and flow where it's like, and you look at it in technology all the time, Netflix did it where [00:05:55.200 --> 00:06:00.320] they were like, okay, we're going to take the DVD that you get delivered on device. And we're [00:06:00.320 --> 00:06:05.440] going to move that to the cloud. Right. And then they actually had a plan where they were going [00:06:05.440 --> 00:06:11.280] to store a bunch of their assets closer to the actual destination. They're like trying to work [00:06:11.280 --> 00:06:15.600] with like Comcast or different ISPs to be like, we're going to have a little Netflix server here [00:06:15.600 --> 00:06:20.240] that hosts all the popular movies in this region. So you like you constantly see this like back [00:06:20.240 --> 00:06:29.600] and forth like Google tried to take gaming GPU to the cloud. Strata strata strata. Yeah. And then [00:06:29.600 --> 00:06:34.960] like chat GPD comes out and it's like, well, because the chips didn't exist on for computers, [00:06:34.960 --> 00:06:39.120] they weren't the right types of chips or powerful enough. They're like, okay, we're going to put [00:06:39.120 --> 00:06:43.200] AI in the cloud. And now Apple's thinking, you know what, it would actually make more sense, [00:06:43.840 --> 00:06:48.160] or at least that does appear to be their strategy of like put it on device. Because one, we sell the [00:06:48.160 --> 00:06:52.720] devices. So we want to sell more devices. And two, it's going to be faster. There's just hardly any [00:06:52.720 --> 00:06:57.120] way to compete. Right. If you have the things, I mean, it's just expensive. So so 10 year, [00:06:57.120 --> 00:07:00.400] I was thinking about this in the way. And this is the most random question I had for you. [00:07:00.400 --> 00:07:07.120] Is you see, like during this whole AI thing that's been going on in the past six months, [00:07:07.120 --> 00:07:21.760] this revolution, Bitcoin's gone from $28,000 to $74,000. Is that is there something going on? [00:07:21.760 --> 00:07:27.600] That's significant in terms of how the world is it significant in the way the world is going [00:07:27.600 --> 00:07:34.400] to work in the next 10 years. And does AI have does AI in the blockchain have any sort of relationship [00:07:34.400 --> 00:07:41.680] in the next 10 years? It's an interesting question. So I, when when all of the crypto came out, [00:07:41.680 --> 00:07:45.600] I was very bullish on crypto. I thought it was going to change the world. You know, so I put, [00:07:45.600 --> 00:07:52.560] I think I put about a total of like three grand in the crypto, probably 10, 11 years ago, right? [00:07:52.560 --> 00:07:58.880] So that's that's the max. Now, so I'm sitting on a pretty nice bag of crypto at this course you [00:07:58.880 --> 00:08:04.240] are. Well, now full disclosure though, like, so funny little backtrack funny story is I'm sitting [00:08:04.240 --> 00:08:08.240] there and I'm like, I know I'm sitting, I have a hard drive that's got three Bitcoin on it, [00:08:08.240 --> 00:08:12.720] right? And this is when Bitcoin was at, I don't know, 50 grand or whatever, poor coin. And I'm like, [00:08:12.720 --> 00:08:16.160] all right, I got to find this. And I went on a mission and there's a whole Facebook post of [00:08:16.160 --> 00:08:20.560] this mission as I'm going through. And I, you know, there's a photo of all these hard drives [00:08:20.560 --> 00:08:24.000] all over my desk. And I literally bought a thing that you can just pop these hard drives and they [00:08:24.000 --> 00:08:29.440] check them. And I went through and checked 20 hard drives. I finally found the one that had the wallet [00:08:29.440 --> 00:08:34.560] on it. And I opened up that wallet and I see the transactions for sending two or three different [00:08:34.560 --> 00:08:39.040] Bitcoin. I'm like, what the hell is this? And I open it and I'm like, oh, yeah, that's when I [00:08:39.040 --> 00:08:47.360] bought magic mushrooms off the dark web for three, for three friggin Bitcoin. Oh, no. And it was like, [00:08:47.360 --> 00:08:52.880] you know, 300 bucks. It was like $100 per coin. Yeah. And it was when I spent that. And yeah, [00:08:52.880 --> 00:08:58.560] so I had managed to spend three Bitcoin. I'm so glad I asked you this. Magic mushrooms. [00:08:58.560 --> 00:09:03.360] Oh my gosh. You know, my buddy had a similar story, not quite as dramatic, but he was trying [00:09:03.360 --> 00:09:09.200] to buy some coin that wasn't on any real exchange. I always kind of stayed away from it because it [00:09:09.200 --> 00:09:13.440] seemed shady to me. I was like, I don't understand. You have to get this website. And then anyway, [00:09:13.440 --> 00:09:18.560] so he like tried to buy the some coin three or four times and it costs like 100 bucks or [00:09:18.560 --> 00:09:23.440] something every time you try to buy it. And it kept failing. He said, forget it. I'm just going to [00:09:23.440 --> 00:09:28.080] move on. Well, if he had gotten that transaction to go through, he would have made like two million [00:09:28.080 --> 00:09:33.520] dollars or something. Hell, like, that doesn't seem right. No, it's so bad. Also, the other one too, [00:09:33.520 --> 00:09:41.040] is so know me, which was my app that let you track everything. I ended up moving from firebase [00:09:41.040 --> 00:09:47.360] to blockchain or a block stack is what it was originally called. And it's basically a decentralized [00:09:47.360 --> 00:09:53.680] data store that you could have like this completely private store of data. And you could have data. [00:09:53.680 --> 00:09:59.440] And so I integrated it with know me. So they ended up giving me like 20 20,000 tokens of the [00:09:59.440 --> 00:10:04.800] XTX token because of this. And so I've just been sitting on it, you know, not never even thinking [00:10:04.800 --> 00:10:09.120] about it. And I just went and looked the other day and they're like at three dollars and 50 cents [00:10:09.120 --> 00:10:14.960] per coin right now. And I'm just like, there we go. That was one of those actual useful coins. [00:10:14.960 --> 00:10:20.240] Well, so what they're doing, which is kind of interesting, is they're a level two provider and [00:10:20.240 --> 00:10:26.960] but it's all built on the on Bitcoin. So you can then stake your your STX tokens and they actually [00:10:26.960 --> 00:10:32.880] pay you in Bitcoin. So their entire thing is really tied to the actual Bitcoin system. But it [00:10:32.880 --> 00:10:38.480] brings contracts, it brings all the things that like Ethereum has, but it brings it to the Bitcoin [00:10:38.480 --> 00:10:43.920] blockchain. Anyway, this isn't a Bitcoin podcast. So wait, but what was your prediction? Is it just [00:10:43.920 --> 00:10:49.280] Apple's gonna be it? Well, actually, I had a question. My prediction, my prediction was just [00:10:49.280 --> 00:10:55.760] please buy Apple stock. This is a public service announcement. No, what I was I was reading the [00:10:55.760 --> 00:11:03.520] show notes and it's just this discussion around where where Apple's going is I was where I look [00:11:03.520 --> 00:11:09.840] always. And Apple in the what's the conversation right now is not just I'm gonna chat with this [00:11:09.840 --> 00:11:14.720] thing proactively and it's gonna I'm gonna have a chat stream, right? It's it's reading, it's reacting [00:11:14.720 --> 00:11:19.520] and it's doing things. And we talked about that with rabbit and we and I see that as the next [00:11:19.520 --> 00:11:23.440] evolution. And I don't think it's gonna take 10 years, but I think the impact is gonna be felt [00:11:23.440 --> 00:11:28.800] over the next 10 years. So so what does the world look like when you don't really have to do much? [00:11:28.800 --> 00:11:34.080] Yeah, that is one of that was one of my predictions is that that UI moves from this like [00:11:34.720 --> 00:11:39.920] this thing where you have to go and interact with it to it now just becoming more of a thing that's [00:11:39.920 --> 00:11:44.640] confirming with you, you know, like when when you're interacting with these ais and these robots and [00:11:44.640 --> 00:11:49.360] the agents and all this stuff, it's gonna just be more of, Hey, I need this and it'll be like, all [00:11:49.360 --> 00:11:55.600] right, you want this and you want that? And so I think that the UI the whole UI space completely [00:11:55.600 --> 00:12:01.600] changes and and rabbits are a good example of that, right? Like rabbits taking the UI and is [00:12:01.600 --> 00:12:06.800] gonna automate it themselves and then basically confirm, Hey, or do you want this one from Uber [00:12:06.800 --> 00:12:14.400] each or whatever it is? In a world where UI doesn't matter, is someone need to invent a like a mid [00:12:14.400 --> 00:12:20.880] tier UI stack that that only interacts with AI agents? Well, that Zapier, Zapier, whatever the [00:12:20.880 --> 00:12:30.560] hell it is came out with their, Oh my gosh, center or their AI bot connector tool. So I tried it out [00:12:30.560 --> 00:12:34.160] last night because my buddy was asking me about it. And I was like, I don't know, I haven't used [00:12:34.160 --> 00:12:38.560] it yet. But it was one of their announcements a while back that's kind of starting to roll out. [00:12:38.560 --> 00:12:45.200] But essentially, you know, some of the tooling we've built, you could do using the make we've [00:12:45.200 --> 00:12:52.240] talked about make.com we've talked about zaps and all that. This is like the combination of those [00:12:52.240 --> 00:12:57.600] where you can go on there and I was like, okay, what would be useful for me? Because if I actually [00:12:57.600 --> 00:13:03.200] got used out of it, I might actually build it. And it was, oh, what when a Jira tickets created, [00:13:03.200 --> 00:13:08.320] or like when when someone comments on it, then maybe you could take that comment with the ticket [00:13:08.320 --> 00:13:13.840] and then write a response to it or or generate some actions to drive from that. And you can, [00:13:13.840 --> 00:13:19.680] that's the whole thing is like, it ties in two different data sources. So you could do an email. [00:13:19.680 --> 00:13:25.760] I tried to, I tinkered by building a custom email triggering, gmail triggering thing where [00:13:25.760 --> 00:13:30.640] it's like email comes in, send it to open AI, do some things. Well, you can do a lot of that [00:13:30.640 --> 00:13:37.600] with this new platform. So I do think to your point, like that's probably you'll see the proliferation [00:13:37.600 --> 00:13:41.760] of those types of platforms. I think my question with those platforms, and obviously that's a [00:13:41.760 --> 00:13:47.520] great, like that is if I was going to pick like a SaaS tool, that'd be in the top five, right? [00:13:47.520 --> 00:13:54.880] You know, in terms of like just pure SaaS play for building a platform AI can interact with. [00:13:54.880 --> 00:14:03.920] However, the longest lasting and most successful platform is just the web in general, in URLs, [00:14:03.920 --> 00:14:13.360] right? And so like if you look at how an AI, a general, intelligent AI being that is your [00:14:13.360 --> 00:14:20.240] assistant that's proactive, that can do things on your behalf, like, is there a place for just [00:14:20.240 --> 00:14:25.120] the web there? You know what I mean? Like the web is a tool and the standard just changes. Like [00:14:25.120 --> 00:14:30.000] schema markup, for example, when you're looking up a hotel rooms or a menu. You know what I mean? [00:14:30.000 --> 00:14:37.120] Yeah, I think, again, it's going to be how the AI pulls you into the discussion, right? It could be, [00:14:37.120 --> 00:14:43.440] hey, it's a text message says, hey, your anniversary is coming up. I've scheduled, I've got three different [00:14:43.440 --> 00:14:47.840] ideas for you and your wife. Here they are. You can go to it and you can actually see it. Now, [00:14:47.840 --> 00:14:53.280] that might be an app on your phone. It might be just a web app or whatever. But that's where [00:14:53.280 --> 00:14:58.400] I see that this AI goes. It's going to pull you in, basically ask you which ones. [00:14:58.400 --> 00:15:05.040] And of course, Google and Apple are the two, and maybe Facebook are the ones most prime for [00:15:05.040 --> 00:15:09.680] that conversation. Google already, I don't know if you guys have the Google app on your iPhones, [00:15:09.680 --> 00:15:17.200] but the personalized, maybe they're a little too personalized. I watched the show Invincible. [00:15:17.200 --> 00:15:23.520] Yeah. And almost every other day, there's a article on my Google feed that's like Invincible [00:15:23.520 --> 00:15:30.080] season three or something that's Invincible related. And I think we've talked about it before, [00:15:30.080 --> 00:15:37.200] but that's personalized using machine learning and AI. And to your point, why not go a step further? [00:15:37.200 --> 00:15:42.480] Google has my calendar. They can see my significant others, birthday or friends' birthday. I would [00:15:42.480 --> 00:15:47.840] love that. I want to do more personal things. I want to be more thoughtful, but it's like, [00:15:47.840 --> 00:15:54.880] I kind of forget sometimes it'll be like the day of. It's my three-year-old book prediction maybe, [00:15:54.880 --> 00:16:03.280] then, is if there's AGI and these things are trying to get things done for people, [00:16:03.920 --> 00:16:09.120] wouldn't they basically gravitate towards what people are also gravitated towards? [00:16:09.120 --> 00:16:15.200] So to me, that would just promote general accessibility of information. [00:16:15.200 --> 00:16:20.320] You know what I mean? If you're building a website for your company and it's fast and [00:16:20.320 --> 00:16:25.280] it's accessible right now, I feel like that's going to be a tool that will be successful for [00:16:25.280 --> 00:16:30.480] to intend you're still there. So like a layer's lasting power in that. And I think some of these [00:16:30.480 --> 00:16:35.760] proprietary platforms too, like you said, the leaders, the Facebooks, the Googles, the apples. [00:16:35.760 --> 00:16:40.880] But I still think that the, I still think bold prediction is there might be things that are just [00:16:40.880 --> 00:16:47.200] the same. Yeah. Yeah. Now you could see where, so you're going to have an AI that should be able [00:16:47.200 --> 00:16:54.800] to consume websites. That's kind of what I'm getting. Yeah. Because again, we as humans know [00:16:54.800 --> 00:17:00.240] what a button is. We know what a form field is. We know how to kind of go and navigate Amazon. [00:17:00.240 --> 00:17:04.720] There's no reason why you couldn't build a large language model that's basically like [00:17:04.720 --> 00:17:10.960] part, like tightly integrated with the engine of a web browser that it would know like everything [00:17:10.960 --> 00:17:14.720] that's going on with the browser. It'll probably, but you made this point already. And I think [00:17:14.720 --> 00:17:19.280] another thing that's important is it probably makes making accessible websites just that much [00:17:19.280 --> 00:17:23.360] more valuable. Right. Because it's like if you don't use a button element on a button on a website, [00:17:23.360 --> 00:17:27.600] it's going to use a span. Exactly. It's a diff. Yeah. And it might be able to infer that [00:17:27.600 --> 00:17:32.000] eventually. Like the ones that use the correct markup and you know, you're going to get more [00:17:32.000 --> 00:17:39.360] value. So accessibility is really important for AI because AI can interpret and interact with [00:17:39.360 --> 00:17:45.440] accessible web elements. It's a really easily. Yeah. Then it would a proprietary functionality [00:17:45.440 --> 00:17:49.520] or even a proprietary system that it has to learn the APIs for. It's the same thing that you [00:17:49.520 --> 00:17:55.760] were talking about the other day, which is these contracts or these. What did you say? You have [00:17:55.760 --> 00:18:01.440] the standards. Oh, the data exchange. Yeah. The APQC standards that yeah, where you basically [00:18:01.440 --> 00:18:06.480] just ground all of this on existing standards. Well, you know what else? Go back to the Bitcoin [00:18:06.480 --> 00:18:11.680] comment. What's the lead? What's the path of least resistance for an AI entity going to a [00:18:11.680 --> 00:18:18.560] regions bank and open in an account with a driver's license? Or putting some tokens. [00:18:18.560 --> 00:18:26.800] So that's another really interesting conversation would be, is does the AI end up leveraging Bitcoin [00:18:26.800 --> 00:18:32.320] or leveraging crypto as a means of exchanging value? Well, it's going to go to the path at least [00:18:32.320 --> 00:18:38.480] resistance. And it would be. That's a much less resistant. Yeah. Which actually, I didn't come [00:18:38.480 --> 00:18:43.760] prepared with any predictions. But all of these, this conversation has got me thinking about two [00:18:43.760 --> 00:18:48.240] things. So one, I'm like, I'm both an optimist and a pessimist about the future where it's like, [00:18:48.240 --> 00:18:53.760] okay, AI is most likely or already providing a bunch of efficiencies and efficiencies comes [00:18:53.760 --> 00:18:59.040] profitability with profitability generally comes more money back to the shareholders and less [00:18:59.040 --> 00:19:05.040] back to the common people. But I do think something has to break at some point. Like, [00:19:05.040 --> 00:19:10.400] you can only make so much money. Maybe I'm just wrong because capitalism is fun. [00:19:10.400 --> 00:19:14.880] Well, we have that conversation. Yeah. But like, my point is, [00:19:16.080 --> 00:19:20.400] the first thing you had on this list today for the show notes was sentiment, general sentiment, [00:19:20.400 --> 00:19:25.200] especially in the US is way down. Yeah. So people are skeptical of AI because they've, [00:19:25.200 --> 00:19:30.720] they've seen this show before. This is a rerun where they productivity goes way up and everyone's [00:19:30.720 --> 00:19:35.360] still laying off, laying off right because why? Because they're beholden to their shareholders, [00:19:35.360 --> 00:19:42.800] right? So how long before we actually finally collectively catch on and we're just like no more. [00:19:42.800 --> 00:19:47.840] And we either, what is it regulation or I don't know what that path looks like, but [00:19:47.840 --> 00:19:55.120] that there's going to be a straw that breaks the the camel's back. So I've got so and my other [00:19:55.120 --> 00:20:02.000] prediction here is that what we're going to see is not a job apocalypse in 10 years. Yeah, [00:20:02.000 --> 00:20:06.640] we're going to see a job apocalypse and it's going to happen where everybody's kind of going, [00:20:06.640 --> 00:20:10.400] oh, hey, I don't need all these people because I can have AI do this and do this and do this. [00:20:10.960 --> 00:20:13.760] But what I think is going to happen, the same thing that happened when we had the car, [00:20:13.760 --> 00:20:19.280] the industrial revolution, we had the cars and we had all of a sudden, entire new industries [00:20:19.280 --> 00:20:23.440] bubble up and we're going to have a lot more efficiencies. We're going to have a lot and [00:20:23.440 --> 00:20:27.040] people are going to be coming up with entirely new things that we never thought of that will [00:20:27.040 --> 00:20:31.920] require people. Now, the question ultimately does is it ever going to require as many people as it [00:20:31.920 --> 00:20:38.000] used to because we now have AI to do a lot of that work. But so I think we're going to see a [00:20:38.000 --> 00:20:45.440] short-term, very painful process transitioning to this new world of AI powering everything. [00:20:45.440 --> 00:20:50.480] But at that same time, I think we'll eventually have this cross where it's eventually now going [00:20:50.480 --> 00:20:54.640] to go. More people are now getting hired by the new industries that have bubbled up because of [00:20:54.640 --> 00:21:02.960] what actually came out because of the AI. I think that you make a good point and it reminds me of [00:21:02.960 --> 00:21:09.760] the 2008 financial crisis. So there was a huge transformation in terms of the types of jobs [00:21:09.760 --> 00:21:16.560] people were working at when you pre-2008 and post-2008. You saw a huge rise in the brew pub and the [00:21:16.560 --> 00:21:24.320] the micro restaurants. You know what I mean? That's the hipster thing became more like people [00:21:24.320 --> 00:21:29.440] started. People were doing more with less and being more in that kind of [00:21:29.440 --> 00:21:35.520] creative energy. Because people were like, "You know what? I don't need to go in this rat race. [00:21:35.520 --> 00:21:43.600] I need to go figure out myself. And I think that's potentially an outcome of all this. What are [00:21:43.600 --> 00:21:50.240] you going to do with all this time?" And maybe humans are creative beings and they figure out [00:21:50.240 --> 00:21:55.680] other things to do. Part of what is probably going to happen, you already see it on social [00:21:55.680 --> 00:22:04.800] media. Like I've learned more about gardening and exercise and music and fixing things in the last [00:22:04.800 --> 00:22:08.880] three years because of social media and all the things that people post the night did and 20 years [00:22:08.880 --> 00:22:14.320] before that. And it's just like people are trying to kind of figure stuff out. I mean, [00:22:14.320 --> 00:22:16.320] Jacob's out here making sourdough bread. [00:22:16.320 --> 00:22:24.400] Are you tempting? This Friday will be my first. I've got the starter. I've read a hundred articles. [00:22:24.400 --> 00:22:30.640] I've used chat, GPT, and Gemini to give me the schedules. I've watched the video. Even JVM has [00:22:30.640 --> 00:22:36.720] given me some advice. He does it every Sunday, he said. But think about that, right? It goes [00:22:36.720 --> 00:22:42.480] back to something my grandma told me. She was an artist. She was a cook. She was a grandmother, [00:22:42.480 --> 00:22:47.920] mother, tons of kids. And she always just told me people struggle with figuring out how to live. [00:22:47.920 --> 00:22:52.640] And one of the ways that she did that was just by being very self-sufficient and creating and [00:22:52.640 --> 00:22:56.960] just being really efficient, especially with like, let's be honest, like money stuff, [00:22:56.960 --> 00:23:01.760] like doing more with less. And I think people can, I think if you think, oh, there's just going to be [00:23:01.760 --> 00:23:08.800] people out on the street, nothing to do. I think that that is not correct. Yeah, I would agree. I [00:23:08.800 --> 00:23:13.760] would say short term, there'll be a lot of displacement, like you said, and we're going to have to figure [00:23:13.760 --> 00:23:18.080] that out because it's going to be an unfortunate side-effective. And we've talked about it many [00:23:18.080 --> 00:23:22.560] times on the show of there's just no need for certain jobs anymore. And those people [00:23:22.560 --> 00:23:31.920] will be left for now. And hopefully, as a country, as the world, we can figure out a way to come [00:23:31.920 --> 00:23:39.920] together and actually, because people are creative. They're not meant to be the transcribers. Those [00:23:39.920 --> 00:23:45.680] are jobs better suited for computers. But they're still the coal miners situation where, [00:23:45.680 --> 00:23:49.920] okay, now what? These guys, they're primed for coal mining. That's what they learned. That's [00:23:49.920 --> 00:23:55.680] what they did for a living. We people need something to do to feel valuable and to make money, right? [00:23:55.680 --> 00:24:05.360] But I will say since I've been using AI, I've noticed a crazy improvement in my productivity, [00:24:05.360 --> 00:24:12.960] my organization, my ability to get unstuck is so much better. Like, when I start writing docs or [00:24:12.960 --> 00:24:18.560] start organizing my thoughts, it's like, first thing I do is, when I get stuck is go to chat [00:24:18.560 --> 00:24:24.560] GPT or whatever. So you go to Gemini. I go to Gemini too. They're both so good, though. Like, [00:24:24.560 --> 00:24:31.280] I actually, I started using both again. Yeah. And chat GPT is really good. I forget what I [00:24:31.280 --> 00:24:37.920] used for. Oh, my taxes. Oh, really? I hate doing taxes. I don't even do them. I give this stuff to [00:24:37.920 --> 00:24:46.640] someone to do. I hate even doing that. I hate even doing that. I love scanning everything and [00:24:46.640 --> 00:24:53.040] getting my PDF into organizing it into folders and going, see, you have everything. Here's what I [00:24:53.040 --> 00:24:57.440] hate about it. I do too, actually. I love that part of it. What I hate about it is I've always [00:24:57.440 --> 00:25:01.280] relied on someone to do it. So every year, it's the same thing. I'm like, Oh, shit, what do I need [00:25:01.280 --> 00:25:04.560] to give them again? So I go back and I try to figure out what I gave them last year and follow [00:25:04.560 --> 00:25:10.400] the email audit. I just went to chat GPT and I said, Hey, I'm doing my taxes or I'm having someone [00:25:10.400 --> 00:25:15.760] do my taxes for me. What documents do I need? That's great. And they guy doesn't send you a packet. [00:25:15.760 --> 00:25:20.880] They do. But it's like this list of everything that could ever happen and it's horribly formatted [00:25:20.880 --> 00:25:26.160] and I get anxiety looking at it. So I have I took a copy of that document and I literally crossed [00:25:26.160 --> 00:25:29.200] everything out. That's not applicable. And it's like 90% of that. That's what I probably should [00:25:29.200 --> 00:25:33.600] have done. But I look at it and I'm like, no, this is applicable to me. So I just break out and [00:25:33.600 --> 00:25:40.000] then use it. But no, Chad GPT is great for something like that. I now have a notion document that says, [00:25:40.000 --> 00:25:45.200] here is everything that I as I was getting all the stuff I decided never again, will I have this [00:25:45.200 --> 00:25:50.480] anxiety. So I made a document last night of all the things that I delivered, all the LLCs and [00:25:50.480 --> 00:25:55.440] businesses that I they take care of the K ones or this guy does or whatever. And I'm like, okay, [00:25:55.440 --> 00:25:59.200] cool, this is more manual. I think I think notion deserves to be in our prediction. [00:26:00.000 --> 00:26:06.880] I think notion's a winner, short and I mean, in long term. So we we use so just for transparency [00:26:06.880 --> 00:26:13.520] at our company, we use Google workspaces. We use Jira to manage our projects. We use Git Hub and [00:26:13.520 --> 00:26:21.440] Bitbucket because we are in between, you know, relationships there. We use Slack to communicate. [00:26:21.440 --> 00:26:29.760] No one at our company sends each other emails. So that's not a thing. And we are we use but we use [00:26:29.760 --> 00:26:33.600] there's a platform called bug herd. It probably doesn't even deserve to be mentioned but to collect [00:26:33.600 --> 00:26:40.480] bugs from from customers on websites. But we use we want to use notion and notion has a is a great [00:26:40.480 --> 00:26:46.720] kind of way place to like puke out all your AI content and in just stuff in general and then [00:26:46.720 --> 00:26:52.560] figure out ways to organize it. You know, create landing pages for yourself, for your clients [00:26:52.560 --> 00:26:56.000] and different things. You shared some notion stuff with us. And then I thought, [00:26:56.000 --> 00:27:01.200] are you a notion guy? Yeah, tell us about your notion footprint. Yeah, so a notion. So I've [00:27:01.200 --> 00:27:07.040] I've gone through the journey of notes like through every single one. Yes, I need everyone [00:27:07.040 --> 00:27:15.200] needs to hear this. And I built one called belly lint, which was the name of it. And belly lint was [00:27:15.200 --> 00:27:21.120] it was basically my take on Apple notes, but it was completely decentralized using block stacks, [00:27:21.120 --> 00:27:26.000] decentralized storage engines. So you it was completely private. You could go and do whatever. And it [00:27:26.000 --> 00:27:31.200] was a smart down driven thing. And it was great. I used it for about a year and a half. The only [00:27:31.200 --> 00:27:37.280] downside was was the sharing aspect of it. And the sharing aspect is what is notions real secret [00:27:37.280 --> 00:27:42.640] sauce. Yeah, they've got a ton of secret sauce. But that's what I was asking about. Because the [00:27:42.640 --> 00:27:47.520] the so everything that's going on a mark down or a notion is mark down powered. And I think that [00:27:47.520 --> 00:27:53.200] that's a critical thing here. Because I can Google Docs, right? Google Docs is using the old what [00:27:53.200 --> 00:27:59.040] you see is what you get kind of what is so notions tables and all of it is all of it is marked out. [00:27:59.040 --> 00:28:03.680] So there's a mark down format that they feel like a Jira board kind of concept? Well, [00:28:03.680 --> 00:28:10.160] so it's most likely their thing is probably a custom markdown renderer, right? So you can have [00:28:10.160 --> 00:28:14.720] like some custom, you know, markdown components or whatever makes it lightweight. Yeah, exactly. [00:28:15.280 --> 00:28:21.280] And so but but what's great about it. So you go and copy from copy your output from chat GBT. [00:28:21.280 --> 00:28:26.000] That's always in markdown for the most part, which is terrible into Google Docs. Exactly. And you [00:28:26.000 --> 00:28:30.560] can't do it in the Google Docs. Oh my god, you just changed my life. So what you do is you copy [00:28:30.560 --> 00:28:37.040] it from there. You paste it into a notion, copy from notion, paste it into Google Drive. And it [00:28:37.040 --> 00:28:41.360] works great. And that's exactly how I do all of our document notes. I've got to copy it from chat [00:28:41.360 --> 00:28:46.320] GBT, paste it into notion, copy from notion, paste it into Google and it works great. [00:28:46.320 --> 00:28:54.800] So so that'll hopefully be a short but catch GBT hack. Take your chat GBT results. Don't copy [00:28:54.800 --> 00:28:59.840] and paste it directly into Google Docs. Go copy and paste it into notion, which is a markdown [00:28:59.840 --> 00:29:05.520] based system. Then if you really need to get it into Google Docs, copy it from notion back [00:29:05.520 --> 00:29:10.400] over to Google Docs and you just saved my life because I'm so sick of copying from chat GBT into [00:29:10.400 --> 00:29:15.280] Google Docs and seeing it form editorically. Yeah, it's horrible. Yeah, I'm sorry, horrible. [00:29:15.280 --> 00:29:21.760] Yeah. So no notion, but so notion, so notion has this sharing ability. It's got the team collaboration [00:29:21.760 --> 00:29:26.400] and the website for people don't let a lot of people have done us notion, not that count. [00:29:26.400 --> 00:29:33.440] Yeah. S O. Yeah. I do that all the time. I know. Yeah. But in terms of having like a a super [00:29:33.440 --> 00:29:38.880] flexible, very powerful, they've got to so I have upgraded. So they do have their own AI that you [00:29:38.880 --> 00:29:43.120] can kind of interact with and chat with. We have that now. It seems to kind of suck though. [00:29:43.120 --> 00:29:47.120] It's a little slow. It's a little it's slow but like don't get better. It will definitely get [00:29:47.120 --> 00:29:52.000] better but like when you're trying to ask you questions across your entire corpus of data, [00:29:52.000 --> 00:29:57.280] that thing went fucking haywire. It was just like and I was asking like very specific questions [00:29:57.280 --> 00:30:02.320] and it was like giving me the I mean the hallucinations that this thing did were just off the chart. [00:30:02.320 --> 00:30:07.840] Have you you well I know you have because you introduced it to me but are you still using obsidian? [00:30:07.840 --> 00:30:13.520] So I'm not using obsidian anymore. Obsidian is like yeah well he you tell it because you introduced [00:30:13.520 --> 00:30:18.640] it to me. Yeah so so I when I started so I had belly lent and then I'm like ah I went back to [00:30:18.640 --> 00:30:23.680] notion and then I'm like I still don't like that it's not private so then I went to obsidian and [00:30:23.680 --> 00:30:29.360] obsidian is a an app that you're going to run on your Mac, Windows, Linux I think that stores it all [00:30:29.360 --> 00:30:34.480] locally on your like unstructured documents. Exactly. It's just it's a folder structure of [00:30:34.480 --> 00:30:38.800] markdown but they do have syncing. They have a bunch of plugins. They have a bunch of really [00:30:38.800 --> 00:30:44.480] cool features. They have a couple different chat GPT kind of interfaces where you can then [00:30:44.480 --> 00:30:48.800] basically pull it in and interface with it but I didn't think that they had anything that like [00:30:48.800 --> 00:30:55.440] spanned the entire corpus. Oh yeah I wasn't sure not. My take on obsidian was it's amazing. Yeah [00:30:55.440 --> 00:31:00.320] it's just but it's like an android to me where it's like it's too open to me. So that's a great [00:31:00.320 --> 00:31:06.240] notion analogy. Notion is apple yeah and obsidian is I so and that was my thing is like if you want [00:31:06.240 --> 00:31:11.440] a phone to do whatever you want it to do go with the android. If you want a phone that just works [00:31:11.440 --> 00:31:15.840] but you have to follow it saying go with apple same exact thing if you want notes that just work [00:31:15.840 --> 00:31:20.320] go with notion. If you want your notes where you have like all the crazy shit you want calendaring [00:31:20.320 --> 00:31:24.880] you want sinking you want all this madness. Yeah go with a notion released a calendar that [00:31:24.880 --> 00:31:29.920] integrates direct with Google. I use it yeah and I just started using it. Whoa. Oh it's great. I [00:31:29.920 --> 00:31:34.960] have my favorite. Well what's your favorite feature so far? The fact that my next meetings link to [00:31:34.960 --> 00:31:41.840] go join the meeting is right there. Well seriously it's amazing. If you get the app on the Mac app [00:31:41.840 --> 00:31:45.200] you don't have to click the meeting invite. It's like your next meeting team as a team is meeting [00:31:45.200 --> 00:31:51.120] click to join. Oh yeah at the top right and then yeah which I agree that is by and far the best. You [00:31:51.120 --> 00:31:56.560] have to give it literally permissions to do every single thing ever right yeah and get your first [00:31:56.560 --> 00:32:00.640] it does get your first one. Yeah literally it's like we have it's like the last one it's like just [00:32:00.640 --> 00:32:07.920] basically everything. Yeah yeah so that that's my one my one beef with notion is that it does have [00:32:07.920 --> 00:32:14.080] access to like everything. That's a lot so you're so one thing that people don't realize is when you [00:32:14.080 --> 00:32:20.880] log in with Google Apple or X account on a separate platform it's using a authentication protocol [00:32:20.880 --> 00:32:26.880] called OAuth which is like basically like syncing some permissions it's giving the application to [00:32:26.880 --> 00:32:35.440] directly make API calls into that external app and to me that's a very difficult proposition to [00:32:35.440 --> 00:32:42.240] regulate. You're leaving it up to the application to handle that and then obviously like that's [00:32:42.240 --> 00:32:49.600] something to where you know if you're basically potentially opening yourself up at some level to [00:32:49.600 --> 00:32:56.080] if that source application that you're giving the permissions to gets compromised you know you might [00:32:56.080 --> 00:33:01.920] you might be in a little bit of trouble but I mean I think for me typically if I'm doing it with [00:33:01.920 --> 00:33:08.640] Google I feel usually feel pretty okay with that. Yeah I agree and I think Google somehow is just [00:33:08.640 --> 00:33:13.920] always going to win the auth war by the way like I don't know what they get out of that but like [00:33:14.480 --> 00:33:20.320] authing with Google it scares me or it doesn't scare me but it's weird to th with Facebook or [00:33:20.320 --> 00:33:25.120] like like Reddit or one of them the other day was get up and I'm like well one of the things is [00:33:25.120 --> 00:33:29.440] the reasons is because in that's the reason why Microsoft's probably second is because you can [00:33:29.440 --> 00:33:33.360] control someone's access to a Google workspace yeah so if they're logging in with their account and [00:33:33.360 --> 00:33:38.640] they get terminated versus like their Facebook account that's true that's true but it just feels [00:33:38.640 --> 00:33:43.040] like as a consumer that feels right. Do you guys remember the first time you use Gmail? [00:33:43.040 --> 00:33:50.720] Oh yeah wise dude three at gmail.com because I'm the third wise dude. I remember I was in the [00:33:50.720 --> 00:33:58.560] blood the main library at IU and I was I had logged into Gmail and there was two computers next one [00:33:58.560 --> 00:34:03.440] next to each other this guy his name was Wes he ended up being a really good designer and I was [00:34:03.440 --> 00:34:07.360] like the coder so he would design stuff while we were there and I would try to code it like while [00:34:07.360 --> 00:34:11.760] we're working and that's kind of how I learned front and dev but he would log into his Gmail and [00:34:11.760 --> 00:34:17.760] the chat feature was there and like they were AB testing it but for some reason it went like [00:34:17.760 --> 00:34:22.880] two years before the chat list showed up on my Gmail and I was always so mad everyone was [00:34:22.880 --> 00:34:27.840] sitting there chatting with each other and I didn't get to the chat. I never liked their chat like [00:34:27.840 --> 00:34:31.840] we used it all the time. I don't know why I just I never used I was named [00:34:31.840 --> 00:34:40.320] oh yeah I was skater boy oh wait I was Jeba dialing that was slack before slack existed yeah yeah oh [00:34:40.320 --> 00:34:45.920] but I want to go back to the notion conversation real quick because it I don't know if they'll be [00:34:45.920 --> 00:34:52.800] a winner but I do think content create platforms that enable content creation and have a unified [00:34:52.800 --> 00:34:57.200] structure of their data are going to be the winners because what sometimes what I'll do is [00:34:57.200 --> 00:35:04.080] I'll go to chat GPT and I'll say do this but I want to output in like a notion standard yeah you know [00:35:04.080 --> 00:35:09.760] they have a lot of they have a good marketplace for templates and a good base of that kind of [00:35:09.760 --> 00:35:19.040] baseline data set right to to pivot off so lightweight data semantic representations of content win [00:35:19.040 --> 00:35:24.000] in the AI world so you because right because because you can parse HTML quickly you can parse [00:35:24.000 --> 00:35:29.440] through and render markdown really quickly so if you're doing things in in that format I feel like [00:35:29.440 --> 00:35:34.320] and they're much more approachable for everyone like the accessibility they win with accessibility [00:35:34.320 --> 00:35:40.160] accessibility keeps keeps coming up here and that of course I'm totally slanted because you want [00:35:40.160 --> 00:35:45.120] that you want you don't want three proprietary platforms to win and no one to have access to [00:35:45.120 --> 00:35:50.960] create anymore yeah so I I think and this is one that I've been kind of noodling on I've never [00:35:50.960 --> 00:35:56.880] actually said it out loud so bear with me that I think we get to a point where you almost have [00:35:56.880 --> 00:36:04.720] these like portable vector volts right so I'm chatting with chat GPT I should basically just be [00:36:04.720 --> 00:36:10.320] almost like open search if you guys remember open search was a just an open standard for being [00:36:10.320 --> 00:36:17.520] able to do church yeah why couldn't we have that but it's vectorized right so I can go to chat GPT [00:36:17.520 --> 00:36:23.600] connect my notion connect my Gmail connect my Google Drive they all are an open search [00:36:23.600 --> 00:36:27.760] which I can go and provide a prompt it's going to do its own vectorization of the prompt it's [00:36:27.760 --> 00:36:31.920] then going to go and search its data through all the vectors that exist in there and return the [00:36:31.920 --> 00:36:39.440] things that are so that so for those that aren't familiar vectorizing your data is the first step [00:36:39.440 --> 00:36:44.320] basically to get a large language model to be able to interact with it but it's not standardized [00:36:44.960 --> 00:36:50.320] or is it standardized I mean like if I have a bunch of blogs I can chunk it up in an area I want [00:36:50.320 --> 00:36:54.320] well you could yeah you could you could chunk it up but nevertheless the end results still gonna [00:36:54.320 --> 00:36:59.440] just be an array of numbers that's still gonna be a vector so it's not that and but it's not even [00:36:59.440 --> 00:37:04.560] that it's critical like so when we would do the search for notion like chat GPT doesn't it really [00:37:04.560 --> 00:37:09.680] even give a shit about whatever their their vector strategy it doesn't matter no no no no because [00:37:09.680 --> 00:37:14.320] what they're gonna do I would think that the format and the vector would be so but that's that's [00:37:14.320 --> 00:37:18.800] for notion to do its search right so it's gonna do the search and it's gonna have its vector and [00:37:18.800 --> 00:37:26.080] it maybe it's a 726 you know a dimension whatever array but the query is gonna come in it's gonna [00:37:26.080 --> 00:37:31.360] convert it to its own vector format do the similarity search or do a semantic depending on how they [00:37:31.360 --> 00:37:36.720] want to do their search then that's just gonna come back to you know whatever because that's all it [00:37:36.720 --> 00:37:42.480] really is is here's the results now go and add that to your you know to the large language model [00:37:42.480 --> 00:37:48.000] along with whatever the large language model says and needs to answer but yeah I mean I do I think [00:37:48.000 --> 00:37:53.440] we might see a thing of where like you have this kind of portable vector search of all of your [00:37:53.440 --> 00:37:58.080] day because it's there I want I should be able to search my tweets I should be able to search my [00:37:58.080 --> 00:38:02.560] Facebook stuff I should be able to search my notion I should be able to search my email for [00:38:02.560 --> 00:38:09.360] fucking sure do you think I hear like a lot of the centralizing and connecting all these platforms [00:38:09.360 --> 00:38:15.520] we're just security play into this because okay it's the same it's actually one of the [00:38:15.520 --> 00:38:21.600] and Google has overcome this but it was one of the hang-ups of allowing Google to OAuth into [00:38:21.600 --> 00:38:25.680] everything that you have same same problem right so once someone cracks my Google account [00:38:25.680 --> 00:38:31.120] they now have cracked every app I've ever connected to that Google account right um essentially but [00:38:31.120 --> 00:38:36.880] the the yeah the security side of that would would absolutely be critical because especially [00:38:36.880 --> 00:38:41.680] if it's like here's your URL for your well I think that you think I think you touched on it though is [00:38:41.680 --> 00:38:47.040] is is the portable aspect so one of the things that's interesting about portable is that you take [00:38:47.040 --> 00:38:51.120] it with you and it's and you know what I mean right and that's where you know you talk about that [00:38:51.120 --> 00:38:55.600] like with the blockchain or you talk about you know certain things like not just being able to [00:38:55.600 --> 00:39:02.240] just access it unless it's something you know something you have something you are kind of concept like [00:39:02.240 --> 00:39:08.160] that that three-factor auth or literally you're taking that and the only way to access it is [00:39:08.160 --> 00:39:12.480] physically like something that you're bringing you know my god you know everyone's gonna get [00:39:12.480 --> 00:39:16.800] lock themselves out of their data so so what's funny is going back to block stack like we were [00:39:16.800 --> 00:39:22.640] talking about the the crypto which is now just STX stacks but that was kind of where they were [00:39:22.640 --> 00:39:28.560] going it was called Gaia Gaia hub is the name of it which is this decentralized storage [00:39:28.560 --> 00:39:35.200] that as an application you basically go and say hey can I have access to your storage and you're [00:39:35.200 --> 00:39:40.640] like yep you can have access to this partition and then I can just go and read and write just like s3 [00:39:40.640 --> 00:39:47.520] almost um and so I wonder if it might be something even like that where the portability is basically [00:39:47.520 --> 00:39:52.800] it's accessible I have to very specifically ask for permission it's using end-end encryption and [00:39:52.800 --> 00:39:58.640] you know elliptical curve all this nonsense so it's very secure that I wonder if it might end up [00:39:58.640 --> 00:40:03.680] being something like that where it's like here's your data store an apple could even be primed for [00:40:03.680 --> 00:40:08.240] right like here's your health your health data and here's how well that's that's one of the portability [00:40:08.240 --> 00:40:13.920] thing is interesting to me because you know the doctors like what's he gonna do like you're you [00:40:13.920 --> 00:40:20.000] actually at some point are gonna need to be able to like like give someone the key you know to the [00:40:20.000 --> 00:40:28.080] house right now and and and that that that that concept of of uniformity and how we exchange that [00:40:28.080 --> 00:40:33.680] data and being able to do these critical things like if you basically you're like hey I can't give [00:40:33.680 --> 00:40:38.960] you I can't guarantee your quality of care unless I have access to your records which are on this [00:40:38.960 --> 00:40:44.080] vectorized blockchain personal thing like like but like that makes sense right like like they're [00:40:44.080 --> 00:40:47.840] gonna know everything that they need to know like in there they're probably gonna be like well [00:40:47.840 --> 00:40:52.880] her insurance isn't gonna cover this because they were dealing with limited information and we know [00:40:52.880 --> 00:40:58.400] through through outcomes that if you give that if they have the full access to the data the outcomes [00:40:58.400 --> 00:41:05.040] are better yeah right so like there's there's a concept for sure I think where some of this really [00:41:05.040 --> 00:41:11.680] important information is going to need to be uh uh it has to be vectorized because that's [00:41:11.680 --> 00:41:16.000] because the way that interpreting and access that information is so archaic otherwise you're [00:41:16.000 --> 00:41:21.120] looking through charts and you're or I'm searching the email oh search what's that like like this [00:41:21.120 --> 00:41:26.480] thing's just like right up you know you just ask it a question it's right there yeah so I think that [00:41:26.480 --> 00:41:35.760] the I guess that bold prediction is like access access to data has to be done uniformly amps and [00:41:35.760 --> 00:41:41.600] in vector yep so the last one that I have which we're as we're running out of time which is the [00:41:41.600 --> 00:41:47.760] big one here for me is that I think that everything we're doing today all of the AI work we're doing [00:41:47.760 --> 00:41:55.120] today is a hundred percent for the robots of the future right the the being able to communicate [00:41:55.120 --> 00:42:00.400] with the large language models to being able to you know speak to it and have it be spoken back [00:42:00.400 --> 00:42:06.000] is basically us slowly figuring out how do we give agency to these robots that are going to be [00:42:06.000 --> 00:42:12.800] sitting in our house just like the human tv show or I mean how any of the sci-fi data you know any [00:42:12.800 --> 00:42:18.720] of the sci-fi shows where we had humanoid robots that we ultimately in 10 years we're either going [00:42:18.720 --> 00:42:24.240] to have like a generalized humanoid robot like what Elon's building or we're going to have a bunch [00:42:24.240 --> 00:42:29.680] of like small little specialized you know robots that are just rolling around your house you know [00:42:29.680 --> 00:42:36.080] pick up your dog shit or whatever if my tester is an AI enabled by the end of the decade you know [00:42:36.080 --> 00:42:41.440] I wanted to come up to my room and be like here's your toast just pop it out yeah so that's my take [00:42:41.440 --> 00:42:46.960] that everything we're doing though is really going to be for the robots yeah of the future yeah and [00:42:46.960 --> 00:42:53.920] hopefully they're good i mean you i the what the missing link with the robots um definitely [00:42:53.920 --> 00:42:59.280] the biggest leap for sure and you've seen it with the youtube it is just search you know AI robots [00:42:59.280 --> 00:43:03.520] whatever there's that video that robot just basically doing any task is asked on a kitchen [00:43:03.520 --> 00:43:12.160] counter but like the the the dexterity piece yeah is has been something that like Boston [00:43:12.160 --> 00:43:17.360] Science has been working on but the really the issue is interpretation the issue is visual [00:43:17.360 --> 00:43:23.600] and audio audio interpretation yeah what the what the the human wants from the robot i and i i [00:43:23.600 --> 00:43:28.720] agree that you put your i think that's a pretty good prediction and i also agree that it won't [00:43:28.720 --> 00:43:34.560] it's not going to be just one robot or just specialized robot so it'll be a general purpose one right i [00:43:34.560 --> 00:43:42.240] guess all video of drones with cameras i'm sure AI image detection and they're picking peaches off [00:43:42.240 --> 00:43:49.600] a tree and they're quite fragile right or soft so they it's got a little suction cup it goes like [00:43:49.600 --> 00:43:55.200] that and then carries it over and it slowly drops into the way and we are we have we have we have [00:43:55.200 --> 00:44:01.120] like manufacturing level like i mean that's basically what happened with Tesla what they built the best [00:44:01.120 --> 00:44:08.160] yeah so they have the automation process didn't until intel was planning on becoming completely [00:44:08.160 --> 00:44:15.680] automated or AI driven yeah AI automated factories featuring collaborative robots kobots for some [00:44:15.680 --> 00:44:22.400] kobots kobots aiming to answer manufacturing efficiencies so yeah i mean like um all these [00:44:22.400 --> 00:44:28.880] things that are labors only going to get more expensive um and restaurants no i'll make a [00:44:28.880 --> 00:44:35.680] i'll make a i'll add on to your prediction i envision within five years most people that have [00:44:35.680 --> 00:44:41.120] household income of let's say two hundred fifty thousand dollars a year or more are going to have [00:44:41.120 --> 00:44:46.880] an apple robot housekeeper assistant living in their home with them 24 hours a day what was the [00:44:46.880 --> 00:44:51.680] Jetsons robot oh you know i remember off top of her head she was thick she was thick [00:44:51.680 --> 00:45:00.720] josey yeah it was a josey rosy rosy rosy rosy rosy rosy yeah she she had she had an attitude [00:45:00.720 --> 00:45:05.360] but you know that the interesting thing about Jetsons you wake up you know you you literally [00:45:05.360 --> 00:45:09.280] go through this conveyor belt yeah you know did brushes your teeth where you put your clothes [00:45:09.280 --> 00:45:13.440] it shut out you know it charges it was still unrealistic because they only had one income one [00:45:13.440 --> 00:45:21.760] household income yeah that's right um but then here's what what happens when the when the apple [00:45:21.760 --> 00:45:28.800] robot gets lonely is this a joke are you i'm waiting for a punch i mean what if it what if you [00:45:28.800 --> 00:45:36.000] what if you come home on a in after traveling it's it's Friday afternoon wife no the robots like [00:45:36.000 --> 00:45:42.240] where have you been i have not been given any tasks the house i've cleaned the house 17 times [00:45:43.120 --> 00:45:50.480] it would be like the carpet is worn down i saw i saw bobbie i saw bobbie and sue next door and [00:45:50.480 --> 00:45:56.400] they've been interacting with their robot only i just started angry have you seen have you seen [00:45:56.400 --> 00:46:03.920] x x machina or whatever oh that's that's that's that's uh what's uh alicia vacander she's smoking [00:46:03.920 --> 00:46:08.800] she's a Tomb Raider chip yeah you yeah i'm gonna watch that again that would be round myself honestly [00:46:08.800 --> 00:46:14.240] we should all probably re-watch all of them yeah like her oh yeah another one you know i love her i [00:46:14.240 --> 00:46:21.760] love that movie yeah i love her too yeah all right well so we'll we'll wrap it up there we'll call it [00:46:21.760 --> 00:46:27.600] we'll call it uh we'll call it so next week um next week is going to be uh ai and marketing we're [00:46:27.600 --> 00:46:32.960] going to try our number two with tim hickel and hopefully now that we've got a better professional [00:46:32.960 --> 00:46:38.960] setup here that that will go off without a hitch and then following up uh the next week will be ai [00:46:38.960 --> 00:46:44.320] and personal finance and we have this really interesting guy who's uh a cs cfo but he also is [00:46:44.320 --> 00:46:49.760] somewhat of a developer building some interesting ai uh tools looking forward to that one so thank [00:46:49.760 --> 00:46:52.080] you very much everybody and we will see you next week