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The Lion's Den. Today is September 6th, 2024, and we will get started in a few minutes.
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Thank you.
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Thank you.
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Thank you.
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Thank you.
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Thank you.
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Thank you.
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And this, in my opinion, is not specific to Leo.
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We are in a rapidly changing world regarding technology, specifically generative AI.
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And because of that, we have to be very aware of what direction we're taking these platforms.
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And because, quite frankly, in my research, everything is changing.
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And I'll give you a quick example, just to kind of isolate it.
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We've all heard about hallucinations with AI.
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Some people have hallucinations without AI, but we'll keep this topic to...
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And hallucinations are...
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And if you understand how generative AI works, generative AI is not a mirror.
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It actually is creating as it goes along.
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And we'll talk about that again when we get into the foundation of this.
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But the point being is sometimes the AI just goes off into never-never land.
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Right?
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Right.
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Right.
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Right.
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Like it's hallucinating.
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It took a hit of acid and off it goes.
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And it's talking about stuff emphatically.
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It's putting forth the answers as this is what it is, but it's total and complete nonsense.
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There's a outfit, reflective...
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I think it's called reflective AI.
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They took Llama 3.1, which is Meta's latest version.
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They took the latest version of its LLM, and they changed how it processes stuff.
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And don't ask me the technical side, probably if I went through it, but I haven't really
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had a chance to look at it much.
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I just actually caught this not long before I got on air here.
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But what it does is it actually corrects the hallucinations as it goes along.
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as it goes along they say it thinks although it doesn't think in the sense but the point being
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is here is one example of a major problem with these models hallucinations
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that is being addressed without even updating the models and going to a much larger
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model size which we're getting that by the end of the year beginning of next year anyway so
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everything is moving very quickly so what does it take and what should LEO focus upon let's um
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before I get to that um I posted a couple times in the Threadcast a link to
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something that I'm
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going to share andエ
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building
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now this is something he designed I believe he was using chat.
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gpt but this is something he designed and basically what he's doing is
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creating
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for Leo a reminder system and any of us who anybody who's tested it out you
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simply exclamation point remind me in five minutes and in five minutes you'll
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get notification in your inbox in your notifications from the bot it's a pretty
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handy feature now he's working on it he's had some issues this is in extreme
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extreme early alpha stage but basically he's putting together his own doing this
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is totally separate from Leo but he's putting together of his own doing
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something that is I think a nice feature on Leo so for example if you wanted to
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two hours ago
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you wanted to
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send a reminder of the lion's den you could say give me a reminder in two
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hours and it would have given you a reminder so he put up a post about it go
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through that post certainly support the post when a community members take the
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initiative to build or create something tied to Leo the the least we can do is
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try to support that so shout out to him and don't get
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bitched
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he if things don't work perfect for example he has said it's not on a server
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he's running it on a local machine so if he's not online it's not working it'll
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catch up afterwards which you know okay if you said it for 12 hours that may be
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okay but if you said it for 10 minutes and he's offline it won't work but as he
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built this out you could see that change so anyway with that shout out to you
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Ahmed good job
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alright let's start with what is the internet we take it for granted we know
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what this thing is but what is the internet when you think about the
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internet is obviously the connecting of computers the networking of computers
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but it's actually even more fundamental when than that when you think about it
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because this allows us to share data so it's really what you're doing is you're
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sharing databases that's what the internet does it allows us to pull data
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from a database and put it through some type net like a
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a website
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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you
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and it allows it to be viewed also part of web 2 it allows for interaction it
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allows for engagement allows for a lot of things but it's a connection databases
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and let's think about this I go to Leo so I go to InLeo.io and I pull up the the
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the
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homepage what am I viewing I'm putting stuff through an interface that is
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resident on wherever Leo houses
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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hahaha
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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wow
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dessa
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S
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Oh
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video, my short, it's going from the database in my computer, you know, my shorts folder
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or my pictures folder or whatever the hell I have, to what Leo has set up.
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So it's either going to their image server or it's going to IPFS.
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But the point being is I'm connecting these databases, and we're interacting over the
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interconnected computers to either read from another database and or as we do with social
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media or as we do when we comment on stuff on Amazon or whatever, we actually write to
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their database, okay?
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So that's pretty basic.
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Now what is Web 3?
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Web 3 is that same premise, but decentralized.
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What do we mean?
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Well, if you read Amazon's database, guess whose database it is, Amazon.
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You go on Twitter, guess whose database it is, X.
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You go on Facebook, it's Meta's database.
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They operate...
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Web 2 operates under the...
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The client server architecture.
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Client is another word for front end application, whatever you want to use.
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So you go to X, the front end, the client is X.com.
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You post a tweet or whatever the hell they call it in X, and that's written to X.com
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servers or XAI servers.
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Who controls it?
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XAI.
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Who owns it?
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XAI.
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Now, when we go to a Web 3 that's written, let's say like Hive, we don't write to a centralized
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server.
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So when you go and you post a thread or you do a blog post, it goes to the Hive Blockchain,
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which is decentralized.
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Okay?
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Okay.
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Okay.
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Okay.
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Okay.
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Okay.
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Okay.
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Okay.
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Okay.
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And what I mean by that is each witness server has all the information, has the entire database
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on it, and they update it every few seconds.
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And so all, whatever we have, 130 different witness nodes have the database on it.
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Okay?
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Okay.
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So if we look at that, versus, now the key is all 130 of them, or most of the 130 of
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them, are not related.
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They're different people, different entities.
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LeoFinance runs one, Townhall runs another, Yabba Map runs one, Blocktrade runs one, you
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know, on and on and on.
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You have different people running witness servers.
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So LeoFinance witness server.
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and BlockTrade's witness server have nothing to do with each other.
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The servers are totally and completely separate.
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They have the same data, but they're totally and completely separate.
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That's not true with X or Meta or any of them.
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No matter what server your tweet is written to,
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which it'll be on multiple servers because they bounce it around and back them up,
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but they're all under Elon's control or all under Zuckerberg's control.
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So really, if we look at it and we say, what is Hive?
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Hive is a decentralized database, text database.
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No images, no videos.
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That's what it is.
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People will give you a lot of, oh, it's a community, it's this, it's an ecosystem.
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No, it's a database.
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That's what it is.
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You go to Hive, you go to the blockchain, you go to a block explorer, you pull it up.
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That's what you see.
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Data.
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You'll see blog posts, you'll see posts, you'll see votes, you'll see all this other stuff.
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And it's all data.
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That with Hive, the layer two that is being built in the Hive servers,
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that developers can tap into and they can extract and build the databases from the base layer data.
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They can build whatever databases they want.
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So now all of a sudden, Leo can pull something from Hive,
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have a database residue,
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have a database resident on a Hive server that we're actually looking at.
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The data was pulled from the blockchain, but we're actually reading the Hive server.
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So why do I bring all of this up?
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And what does this have to do with the focus?
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Well, Leo is Web3.
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So if we're talking about Web3, we are talking about databases.
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That plain and simple.
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And when we're talking about AI,
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what are we talking about?
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Data. It's that simple. Data wrapped in algorithms, pushed through processing. That's what nets
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us AI. Take data, they write the algorithms, they change their algorithms, they improve
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the algorithms, they do whatever they want with the algorithms, and then they just keep
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pushing them through more and more horsepower. That's what AI is. And if they want a different
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result, either change the data, or they change the algorithm. And that's how you get the
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end result. So why is this important? And what is the focus of Leo? Well, here's another
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conclusion I've come to. Social media is no longer a destination. Social media is a pathway.
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It's a feeder system. Why is OpenAI getting their asses sued?
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By everybody and their brother. Why is Anthropic starting to get sued? Because they went out
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and scraped data. Because they don't have their own. How come X, how come Meta, how
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come Google aren't being sued for that? They're getting in their asses in hot water for other
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things. But at least for this, they're not being sued by Google.
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Yeah.
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You know, the newspapers or by publishers or anything like that. Why? Because they have
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their own feeder system. It's called Facebook. It's called Instagram. It's called X. It's
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called YouTube. They have their social media platforms that feed in. What do they do with
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the data once they have it? Well, they train their models.
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Which then becomes Grok, which then becomes Llama 3, which then becomes, what tells Google, Gemini.
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Then what happens? People go in and prompt in Grok or Llama 3 or Gemini or whatever,
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they go in and prompt. They use it. And what does that do? That creates more data. It gives you an
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output, which is information. And again, it's not a mirror. It's not spitting out what was in there.
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It's spitting out completely, totally brand new stuff. And if you have a tough time understanding
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that, just think of an image generator. You go to ideogram, you go to some of these image
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generators, and you put in a prompt, and it creates an image that never was created before.
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Now, it may not be very accurate, depending on the program, but it's a brand new,
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spanking image, never was created before, never in existence. That's what it does with the data,
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or the information it spits out in the text prompts. So now you've got more data. What do
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you think Meta and these other companies do with that? ChatGPT. What do they do with that?
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They feed it back in, and they use it to train the next model. This is why I
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say social media is now just part of the data feedback loop. That's all it's a part of.
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It's no longer the destination. It's just part of the larger pie.
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So when we look at Leo, how does this fit into this feedback mechanism? Very simple.
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Everything is AI Will Ka nut
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like our website
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I can say, everything on the internet is digital.
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Digital in this day and age. You go out.
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Five years, maybe three years here's maybe ten.
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Jordan cancer exposure 14 years,
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Stockholm alternative heart disease that was other centers. If you're at some certain point in skill commitment, you raised a source, save that.
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point in time, the internet will be AI. This is where the focus is. This is where the focus has
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to be. And I'm not only talking from development team, I'm talking from users. How often have we
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talked about data, data, data? It's crucial. And the democratization of data. You want to hear a
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kick in the balls? Here's a kick in the balls. It is being reported the next generation of ChatGPT,
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ChatGPT-5, for all the services, OpenAI is going to charge $2,000 per month.
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What does that do for the democratization of AI? Now, obviously, that's going to be their
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enterprise system. But the point being, how many companies can afford to lay out $2,000 a month?
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This is where open source, this is where permissionless, this is where
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fragmentation, this is where decentralization, this is where decentralization, this is where
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decentralization, this is where decentralization, this is where decentralization, this is where
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decentralization, is where decentralization all come in.
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And this is why it's crucial. I don't say this stuff just to post crap on threads. I say this stuff
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because it is crucial. And Sam Altman is proven. And so, if you think you are just in a social media
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If you think you are just in a social media world, I think you're mistaken. You countries, countries.
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rapidly move into an AI world. So the choice is, do we give it to the likes of Altman and Elon
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and Zuckerberg and whoever the hell is running Google now, or do we create something different?
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Because, mark my words, everything is going to be AI on the internet. That is what Web3 is.
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Web3, the next generation internet, is decentralization, open source, permissionless,
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and AI. There may be some other things included in it.
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Now, obviously, crypto's involved in that. Anybody who's read any of my stuff knows
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AI will not exist without crypto. In fact, Coinbase did the first AI agent payments,
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agent to agent. They don't use Visa for that.
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So when you have tens of billions of AI agents out there doing all kinds of stuff,
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they're going to be paying with virtual currency.
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And if it's AI agents tied to a blockchain like Hive,
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guess what? They'll be paying in cryptocurrency.
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And don't think there will not be tens of millions
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of AI agents, because AI agents are the next phase in computing. And the next phase of computing,
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I think, is worthless, just like the personal computer was pretty much worthless
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until they were interconnected. Until we got the internet, the personal computer was a nice thing.
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You could play some games. You could do a household budget. You could create a document
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and print it out. But the internet connected these computers and allowed that database to be shared.
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It's going to be the same thing with these AI agents. So this is the game that Leo has to be.
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Because when you talk about $100 million, $150 million, $200 million market cap,
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that's how you get there. You're not getting there as a social media platform.
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First off, taking out the major social media platforms is not going to happen.
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Not going to happen. Rumble had a whole lot of money behind it. Has Rumble really put a dent
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in YouTube? And Rumble has done fairly well for themselves. I think they have a $50 million,
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$60 million valuation, something like that. I mean, hard to keep up because it's just guesswork. I don't
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think they've had a seed funding round. But that's probably one of the most successful,
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at least of the video platforms. And I know you have video fragmentation many other ways.
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Obviously, X can do videos and Meta can do videos. But see, when you start to incorporate
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all this into one platform and you start to add in the AI, that's where you get the major focus.
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And you get the feedback loop.
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And Khal mentioned something in the Threadcast last week,
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which I want to bring up two points that I think two key features on InLeo that are
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crucial for exactly what I'm talking about. The first off is he mentioned when we were
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talking last week or maybe it was two weeks ago about LeoAI. And he mentioned post to threads.
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That is sensational. And what he was talking about is with the LeoAI, when you do a prompt of
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what is Leo power, let's say, or you do a prompt of what are the top five posts ever in terms of Leo
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earners. That is sensational. And what he was talking about is with the LeoAI, when you do a
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prompt on renownedoch Facebook thing and you get the response, you click the post to
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threads, and it does that. Why does it do that? What does that do? That's a democratization of
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data. It adds to the Hive database. Because when you do a prompt on LeoAI, that's not on the
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blockchain. And when you put severalUI databases in, that's the Pixies80 log. I don't want to make
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people buy it. I don't want to telop people. I'm going to have tiny amounts of a מפâ—
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That's going to be on whatever server configuration they're running.
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And then that's going to be fed back in.
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But that's not public.
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So what this allows us to do, and as I've been saying, if you do use ChatGPT, if you use Grok, if you use some of these other things and you get a reply, copy it and drop it into threads.
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Copy it and drop it onto the blockchain.
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Because now it becomes democratized data.
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So now what you have is you have that feedback loop where Leo chatbot, you do a prompt, you get a reply, you post it to threads.
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Now it's democratized data, which, of course, then ultimately ends up being fed back into the AI mechanism.
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So that's number one.
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Number two.
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It's news to threads.
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And news to threads, I think, solves a couple issues.
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We know right now X, according to reports, is the number one news source, number one source for news.
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People get their news from X.
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News to threads open with a command will allow anybody to take any article and have it, I presume, as a thread store.
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I don't know exactly what the second generation will look like, but basically, anybody can post whatever they want in terms of articles, and it will create it as a thread store.
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So number one, it gives Leo that angle of being a source of information, a source of news.
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The second thing, data.
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Record keeping, history.
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There is a move to wipe things out, to change narratives, all that stuff.
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Zuckerberg coming out and admitting, well, we were told to remove posts that disagreed with what the government's agenda was.
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We see a situation in Brazil.
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We see a situation in Brazil.
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You know, we see situation.
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I mean, with Telegram and the Telegram owner.
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We see situations rising in the UK.
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This is all part of tyranny.
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And what happens is this gets the data on chain.
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So it feeds, again, feeds the engine, feeds the LLF, the model.
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But it also gets the information on chain.
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And it's all in real time.
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So if somebody wants to go back and try to change the narrative, well, here it was.
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It was posted on in August of 2024.
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This is exactly what was going on.
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So I think those are two things that really feed into this and also feed into the utility of InLeo.
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Because as we've said, people.
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People.
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People.
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People.
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People.
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People.
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People need to have stuff to do.
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They need stuff to engage with.
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And as I've said from day one, if you bring people to InLeo and then they got to go find their news by going back to X, what do you think is going to happen?
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And people say, well, how come our retention rate is so low?
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Well, they come here and they got to go back to X to find anything out.
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So now as a community.
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With this backdrop, with this framework.
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Leave it aside.
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The news.
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That was something we've talked about in the past.
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But get back to the data.
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The database, the focus of Leo.
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It's to fill that up.
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Understanding that this stuff is coming.
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Khal mentioned the subscription service.
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which you know that that's kind of like a sub stack or patreon type thing
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and I guess I I don't know exactly how it'll be set up but it's it's basically it's basically
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walled it's a walled garden so so not anybody can access it which I guess then that allows her and
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it opens up the opportunity for uh nsfw content and stuff like that which is of course a completely
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and totally different um target market but whether it's nsw or or not you know even on non
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nsw content or sfw content behind that that could ultimately be more data more information
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because it feeds the same system now I don't know how they'll they'll do it they'll probably
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encrypt it on the blockchain or or whatever
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but it's still a way to get that fed in and to create the content
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and to expand this so before I go on let me uh get to some of these questions before
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we get too far down uh sunseeker said I'm getting results for some polls now so I would say people
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have a look every weekend for the tag top LEO authors and drop your votes there so sunseekers
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uh yes went on to another day for lion's den question what do we what do you think the
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essential facts are to make LEO to be successful in web 3 space well web 3 is ai that's that's it
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I mean I'm convinced of that I've been doing a deep dive of that we are just a feeder system
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into the ai uh in terms of the social media I believe the community engagement is needed for
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long-term success engagement has been made easy through microblogging
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how can we get more people to be active on threads and shorts uh they're just not gonna be
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you got to you got to get listen here's the deal 90 of the community ignore them
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and I know that sounds cruel but this is just simple percentages only 10 percent of any given
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grouping are your go-getters
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are going to be the ones who do the heavy list are going to be the ones who get the success
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you know it used to be the 80 20 rule I believe it's moved to 90 10. most people are lazy most
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people are distracted most people don't want to put it in the effort most people whatever they
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they're full of excuses they're entitled you know whatever you know they seek media
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there's a lot of different things that feed into people and you can look at this in the june
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you know you go into any gym there's only a few people in the gym who are working out
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like crazy male or female they are working out like champs the rest are doing a couple sets
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then talking to their friend or they they do a little bit of this and then they get on their phone
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and and you know check the score of the game or do whatever they're watching the tv and that they're
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not seeing if they're listening to tv or whatever they're listening to what they hear you know
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oh this is some very uh excess I've I've done past stuff on the podcast in the past because
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one of those first meetings is going to be on the change team you can't see what you can see
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today so it might not be going to be like it was a big change in a couple times that I didn't do
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any wonderful work today at the gym I mean you you know if last time uh I mean a few days before
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like automate and I'll show you that and see how things work but
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yeah it's like it's a lot of like there's so many things that's you know you could you know if a few
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We got ringdings and we eat pasta and we got cookies and we got all kinds of stuff and soda pop and all this other stuff.
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So it's all the same.
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You go into any, I spent years in a company that was a sales-based company.
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You knew who the top salespeople were going to be every quarter.
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You knew it.
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Now, it may change a little month to month, a bad month, on vacation, whatever, but at the end of the quarter, you knew who the top salespeople were going to be because they went out and busted it.
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You know what also was funny?
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They were also the people you find doing a proposal at 5.30 or 6 o'clock at night instead of at 10 o'clock when they should be in an appointment.
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Again, it's just those who succeed, there's a reason for it.
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And so when you say get people to be more active.
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Most people aren't.
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We've talked about this for a year and a half.
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They're just not.
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So what we need to do is the people who are active, we need to feed in.
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Look at Threadcast.
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Threadcast were going well for a while.
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They're still going pretty good.
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But notice how many people used to set up daily Threadcast who haven't set them up anymore.
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What happened?
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Oh, well, nobody participated.
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Well, that's the same for most Threadcast.
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You know, I'm fortunate in technology.
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One, you know.
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A couple of people show up each day and post stuff.
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Fish is in there every day.
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Tokenize shows up most days.
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But, you know, for the most part, it's the same people.
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But you do it.
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Or you don't.
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Do you think content creation on Hive will shift more towards short content with time?
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Tokenize asked.
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This.
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Yeah.
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I mean, it's long form.
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The problem with long form content is eliminating 95% of the Internet.
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95% of the Internet is not going to sit down and write a 700,000 word essay and post it to media.
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Now, there are people who post to media.
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There are people who post long form blogs on X.
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But you know what?
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Most people who post.
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On X do not post long form blogs.
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So, you know, we've seen the success of TikTok.
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Now, in video, I think it's a closer ratio.
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And it's still overwhelming ratio of shorts to long form.
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But I think in video, you will see a closer ratio than you will in text.
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Because in text, I just share a thought.
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I share news.
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I mean, think about it this way.
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Think of the news I can share with the short form content.
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The Red Sox beat the Yankees 4-2 last night.
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I'm just making stuff up.
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If you're a Yankee fan, they didn't play the Red Sox as far as I know.
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But the point being, I convey that.
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It's what?
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8, 10, 10 words.
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Right?
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Now, I could write a 700 or 1,000 word essay about what I did.
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I could write an essay about what happened at the game.
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And there are people who do it.
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There are sports writers who do that.
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But I just conveyed the information.
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You know, I could say, well, they won 4-2 and the winning pitcher was this
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on a three run home run hit in the bottom of the eighth by so-and-so.
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I can do that in a tweet or a thread.
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And there's the information.
475
00:39:52,140 --> 00:39:55,020
Hunter Biden pleads guilty to tax evasion.
476
00:39:56,260 --> 00:39:56,640
There.
477
00:39:56,900 --> 00:39:57,140
Boom.
478
00:39:57,140 --> 00:39:58,100
The information.
479
00:39:58,780 --> 00:39:59,300
Conveyed.
480
00:39:59,580 --> 00:40:00,180
Short form.
481
00:40:00,500 --> 00:40:00,820
Simple.
482
00:40:01,220 --> 00:40:02,880
Anybody reads it, they get the headline.
483
00:40:04,280 --> 00:40:07,680
Now, I could write a 1,000 word essay on it if I had the information.
484
00:40:08,520 --> 00:40:09,560
Do most people care?
485
00:40:10,240 --> 00:40:11,380
In this day and age, no.
486
00:40:12,480 --> 00:40:13,380
No, they don't.
487
00:40:18,120 --> 00:40:19,780
Ahmed, I can't miss this one.
488
00:40:19,840 --> 00:40:23,160
Yeah, well, you were the star of the show for the first few minutes, Ahmed.
489
00:40:23,160 --> 00:40:23,320
Ahmed.
490
00:40:26,640 --> 00:40:28,160
Ahmed put, remind me.
491
00:40:28,260 --> 00:40:29,760
40 minutes in the Threadcast.
492
00:40:29,840 --> 00:40:30,340
Good for you.
493
00:40:30,580 --> 00:40:31,920
Be a product of your product.
494
00:40:33,920 --> 00:40:34,360
LiquidEye.
495
00:40:34,620 --> 00:40:36,160
What does Morty have to say here?
496
00:40:36,640 --> 00:40:37,560
Look around lines.
497
00:40:37,680 --> 00:40:38,420
It's in full swing.
498
00:40:38,500 --> 00:40:43,100
With threads alone already for a while now, there's no stopping that addition of shorts.
499
00:40:44,140 --> 00:40:45,240
Recently, yep.
500
00:40:45,820 --> 00:40:49,080
You could ask if water is wet or if grass is green.
501
00:40:49,160 --> 00:40:54,840
By the way, for those who didn't see my shorts, 2670 is the present short count.
502
00:40:55,980 --> 00:40:57,840
The present short count is 2670.
503
00:40:58,260 --> 00:41:06,180
Morty wants to know when boob bots, ask him for friends.
504
00:41:09,600 --> 00:41:18,420
Well, Morty, with the subscription service, that could be, you could have a subscription of boobs posted by your bot.
505
00:41:21,060 --> 00:41:24,320
Khal's here in the house, as Morty said.
506
00:41:25,580 --> 00:41:27,180
Khal showed.
507
00:41:27,220 --> 00:41:28,240
And I will.
508
00:41:28,320 --> 00:41:29,740
Try to bring this to the top.
509
00:41:31,020 --> 00:41:32,520
Let me just rethread this.
510
00:41:32,640 --> 00:41:33,960
I'll put it on the main page.
511
00:41:35,740 --> 00:41:41,400
Khal showed a screenshot of what it looks like with the subscriber feature.
512
00:41:42,780 --> 00:41:43,720
Pretty handy.
513
00:41:45,060 --> 00:41:46,580
So I guess you could thread.
514
00:41:47,040 --> 00:41:52,880
And when you put a, when you put out a thread, you can change it for only subscribers.
515
00:41:53,700 --> 00:41:54,660
Pretty interesting.
516
00:41:58,260 --> 00:42:03,040
Morty wants, or Ahmed wants to know when LeoAI.
517
00:42:05,680 --> 00:42:06,500
LeoAI.
518
00:42:06,720 --> 00:42:09,980
Here's the thing to keep in mind about LeoAI, folks.
519
00:42:10,520 --> 00:42:15,760
LeoAI, I presume, is going to be a multi-faceted thing.
520
00:42:16,220 --> 00:42:20,500
You know, when you start to look at LeoAI, it's kind of like saying technology.
521
00:42:20,640 --> 00:42:21,960
It's like, what are you talking about?
522
00:42:22,440 --> 00:42:24,180
You know, please be specific.
523
00:42:24,440 --> 00:42:26,020
There's going to be a chat bot.
524
00:42:26,060 --> 00:42:26,640
We know that.
525
00:42:26,640 --> 00:42:27,020
There's going to be some type of...
526
00:42:27,020 --> 00:42:27,480
There's going to be some type of...
527
00:42:27,480 --> 00:42:28,060
There's going to be some type of...
528
00:42:28,060 --> 00:42:31,660
There's going to be some type of, for lack of a better word, copilot.
529
00:42:32,680 --> 00:42:35,800
At some point, I presume there's going to be an image generator.
530
00:42:36,540 --> 00:42:43,880
I would say down the road, you're pretty much guaranteed if you got a chat bot, if you got an image generator, you're going to have a video generator down the road.
531
00:42:44,980 --> 00:42:48,460
Your recommend engine is going to be AI driven.
532
00:42:49,560 --> 00:42:50,400
It's going to be.
533
00:42:51,000 --> 00:42:57,720
Obviously, when you start to talk about push to threads, when you start talking about news to threads.
534
00:42:58,060 --> 00:42:58,560
It's going to be AI driven.
535
00:42:58,560 --> 00:43:20,980
And these threadstorms, that's using AI technology because it's taken the article, it's summarized it, it's having to pull out the important points, and then it has to go through the mechanical programming on the site of actually creating five or six different threads, or actually creating a thread and answering it five or six times.
536
00:43:21,980 --> 00:43:22,840
So this is AI.
537
00:43:23,120 --> 00:43:24,000
That's LeoAI.
538
00:43:24,760 --> 00:43:26,680
All of this ties together.
539
00:43:26,680 --> 00:43:27,180
So...
540
00:43:27,180 --> 00:43:27,680
So...
541
00:43:28,520 --> 00:43:32,540
It's not like Khal's going to one day say like he did with Shorts.
542
00:43:32,620 --> 00:43:33,440
Well, Shorts is here.
543
00:43:34,200 --> 00:43:35,140
Well, LeoAI is here.
544
00:43:36,200 --> 00:43:37,900
Yeah, you may see the chat bot.
545
00:43:38,000 --> 00:43:39,560
You might see the copilot.
546
00:43:39,800 --> 00:43:47,060
You might see whatever, you know, you might see him just say, oh, well, the recommend feature is there for Shorts.
547
00:43:47,260 --> 00:43:48,920
And we use LeoAI for that.
548
00:43:58,060 --> 00:44:06,300
I don't know who that was directed at.
549
00:44:06,300 --> 00:44:06,380
I don't know who that was directed at.
550
00:44:09,840 --> 00:44:12,040
Update your ex bio, you degenerate.
551
00:44:12,140 --> 00:44:14,700
Stay the hell off ex degenerate.
552
00:44:14,800 --> 00:44:15,440
That's for Nifty.
553
00:44:22,600 --> 00:44:26,100
I keep forgetting that LeoFinance is actually a witness.
554
00:44:26,640 --> 00:44:28,040
Yeah, it's actually a top.
555
00:44:28,140 --> 00:44:28,800
30 witnesses.
556
00:44:30,780 --> 00:44:32,760
Many servers are hosted by the same service.
557
00:44:32,860 --> 00:44:33,520
Yeah, that's true.
558
00:44:34,460 --> 00:44:35,660
You also have Cloudflare.
559
00:44:35,660 --> 00:44:35,740
Yeah.
560
00:44:39,520 --> 00:44:46,660
I love that X meta and Google are only safe from being sued because they have more data than they ever on their own servers.
561
00:44:47,040 --> 00:44:49,560
Well, I said they haven't been sued yet.
562
00:44:51,480 --> 00:44:57,940
You know, there's a good chance Google probably sues the other if they find out they were scraping.
563
00:44:58,060 --> 00:45:10,460
And the, the, uh, the video, of course, Google may not sue anybody for it because that's what they're doing.
564
00:45:10,660 --> 00:45:14,060
I mean, it's that's the thing with big tech.
565
00:45:14,260 --> 00:45:16,380
That's the thing with any big company.
566
00:45:16,580 --> 00:45:17,700
They'll tie you up in court.
567
00:45:17,900 --> 00:45:22,820
I mean, you think open AI, which is backed by Microsoft, you think they give a crap about these lawsuits?
568
00:45:23,020 --> 00:45:25,380
They're going to tie those lawsuits up for years.
569
00:45:25,580 --> 00:45:26,380
Yeah.
570
00:45:28,060 --> 00:45:40,540
Uh, yeah, I'm at how much more powerful is it compared to GPT for, uh, one of the people in Japan who evidently works for open AI 100 X.
571
00:45:40,740 --> 00:45:50,860
So two orders of magnitude Google is run by lizard kids, blood sucking, Illuminati.
572
00:45:51,060 --> 00:45:51,940
Everybody knows that.
573
00:45:52,140 --> 00:45:54,500
And that is in layout.
574
00:45:54,700 --> 00:45:55,380
Yes, fish.
575
00:45:55,580 --> 00:45:57,060
Godfish is.
576
00:45:57,260 --> 00:45:57,580
Is.
577
00:45:57,580 --> 00:46:02,940
Uh, train AI as we speak, uh, went on to keeps getting kicked off.
578
00:46:03,140 --> 00:46:06,420
If 3Speak reaches rumble levels, I'll be happy.
579
00:46:06,620 --> 00:46:11,580
I think 3Speak would be happy, but I don't expect that, uh,
580
00:46:11,780 --> 00:46:18,300
the way the way that that's being operated 3Speak is keep in mind.
581
00:46:18,500 --> 00:46:20,300
3Speak was just a proof of concept.
582
00:46:20,500 --> 00:46:25,180
Now, SPK Network has built out some back end stuff.
583
00:46:25,380 --> 00:46:27,180
And, you know, I know.
584
00:46:27,180 --> 00:46:33,740
Shorts goes through 3Speak and uses that and we're tied into that.
585
00:46:33,940 --> 00:46:39,900
But again, you know, back end stuff can always change.
586
00:46:42,100 --> 00:46:45,060
Drax, keeping data and records is something I'm very familiar with,
587
00:46:45,260 --> 00:46:48,700
especially when I have to research films made 20 years ago and find many sources
588
00:46:48,900 --> 00:46:50,780
that have been online for decades vanish overnight.
589
00:46:50,980 --> 00:46:53,260
Yeah.
590
00:46:53,460 --> 00:46:56,980
I don't know exactly what Drax is referring to, but.
591
00:46:57,180 --> 00:47:03,460
Uh, for those of you who are old enough to remember when MTV came out,
592
00:47:03,660 --> 00:47:06,740
it was a big deal in the 1980s.
593
00:47:06,940 --> 00:47:08,300
It was revolutionary.
594
00:47:08,500 --> 00:47:10,420
And you may have seen the old clips.
595
00:47:10,620 --> 00:47:11,860
Well, I want my MTV.
596
00:47:12,060 --> 00:47:16,860
They had a fantastic marketing ploy with that.
597
00:47:17,060 --> 00:47:19,260
But, um,
598
00:47:19,460 --> 00:47:24,900
I don't know when it was, probably late 90s or 2000s, like everybody else.
599
00:47:25,100 --> 00:47:27,100
They jumped on the Internet.
600
00:47:27,300 --> 00:47:28,940
They had a bandwagon by this time.
601
00:47:29,140 --> 00:47:33,660
Unfortunately, MTV probably I don't know, maybe they were still in videos,
602
00:47:33,860 --> 00:47:37,780
but they did some videos after about ten years, I think.
603
00:47:37,980 --> 00:47:40,380
And then they got in reality TV and all kinds of stuff.
604
00:47:40,580 --> 00:47:43,180
But they opened up a blog.
605
00:47:43,380 --> 00:47:45,540
They opened up a
606
00:47:46,220 --> 00:47:51,020
website and they had a ton of data on it.
607
00:47:51,220 --> 00:47:56,620
I mean, articles about bands and music and and interviews
608
00:47:56,740 --> 00:47:58,780
and videos and all that stuff.
609
00:47:58,980 --> 00:48:04,660
And I think MTV is owned by Paramount, which, of course, is in a whole heap
610
00:48:04,860 --> 00:48:09,060
of trouble and actually was just sold itself.
611
00:48:09,260 --> 00:48:10,700
But
612
00:48:10,900 --> 00:48:12,300
I think it was four months ago.
613
00:48:12,500 --> 00:48:14,140
They just closed down MTV.
614
00:48:14,340 --> 00:48:15,380
It was MTV News.
615
00:48:15,580 --> 00:48:18,700
That's what it was that the site was MTV News.
616
00:48:18,900 --> 00:48:23,180
And they closed it down, vanish, gone, poof, history.
617
00:48:23,380 --> 00:48:24,780
Bye bye.
618
00:48:24,780 --> 00:48:28,500
And this is what Drax is talking about.
619
00:48:28,700 --> 00:48:32,180
This is one of the reasons why we want
620
00:48:32,380 --> 00:48:36,300
this stuff on a permissionless database.
621
00:48:36,500 --> 00:48:43,180
And we know that like Internet Archive and Archive PH.
622
00:48:43,380 --> 00:48:48,740
And there's some of these things out there that are trying to to salvage these pages.
623
00:48:48,940 --> 00:48:51,260
Problem is, is where are they hosted?
624
00:48:51,460 --> 00:48:53,340
Who's behind that?
625
00:48:53,540 --> 00:48:54,700
Who controls that?
626
00:48:54,980 --> 00:48:57,420
And I say that I don't know the answers,
627
00:48:57,620 --> 00:49:05,500
but the point being is if we can get this stuff on chain, even if it's just the data.
628
00:49:05,700 --> 00:49:10,300
And I sent out a thread the other day for all you sports fans out there,
629
00:49:10,500 --> 00:49:15,500
EPL, Major League Baseball, NFL, all of that.
630
00:49:15,700 --> 00:49:21,540
Do you know what is the easiest data for.
631
00:49:21,740 --> 00:49:24,500
These models to learn from
632
00:49:24,540 --> 00:49:25,820
tables?
633
00:49:26,020 --> 00:49:28,540
Because keep in mind, machine language is binary.
634
00:49:28,740 --> 00:49:30,140
It's ones and zeros.
635
00:49:30,340 --> 00:49:34,020
You take the language or you take tables with numbers.
636
00:49:34,220 --> 00:49:40,420
It's already in the language or close enough to the language that machine
637
00:49:40,620 --> 00:49:42,980
engines used.
638
00:49:43,180 --> 00:49:49,660
It's binary code, so tables help in the context because you have a table.
639
00:49:49,860 --> 00:49:53,140
The information is all related, you know.
640
00:49:53,140 --> 00:49:55,540
And that's a great thing.
641
00:49:55,740 --> 00:49:58,900
Post that post information like that.
642
00:49:59,100 --> 00:50:02,820
Get it onto the block chain.
643
00:50:03,620 --> 00:50:08,940
You know, post post rosters of whatever.
644
00:50:11,140 --> 00:50:16,020
Maybe I should put more of my conversation with ChatGPT on threads, I just don't want to spam.
645
00:50:16,220 --> 00:50:20,460
I may go into the technology Threadcast and put it in there.
646
00:50:20,660 --> 00:50:22,180
Just drop your first.
647
00:50:22,180 --> 00:50:27,740
What I do is take your first prompt, drop that as the main thread in the technology
648
00:50:27,940 --> 00:50:33,700
Threadcast, then open it up and then just put all ensuing conversation prompts underneath.
649
00:50:33,900 --> 00:50:41,460
And of course, when you get it back, the reply back, it's more than a thousand characters often.
650
00:50:41,660 --> 00:50:46,140
So you end up breaking it up into a few different threads.
651
00:50:46,340 --> 00:50:51,220
By the way, speaking of AI on Twitter,
652
00:50:51,220 --> 00:50:54,500
I fish put this up.
653
00:50:57,900 --> 00:51:03,420
Mongolia obligated post or to rest Putin if he visits and then I'm sorry,
654
00:51:03,620 --> 00:51:09,740
but I can't generate a response to that problem and they post something underneath
655
00:51:09,940 --> 00:51:13,420
comments that I can't even read.
656
00:51:15,060 --> 00:51:17,060
If you keep consistent of any Threadcast,
657
00:51:17,260 --> 00:51:19,780
we'll get more and more people to join frequently over time.
658
00:51:19,980 --> 00:51:20,780
Yeah.
659
00:51:20,780 --> 00:51:22,820
And you can use these straight cast.
660
00:51:23,020 --> 00:51:25,300
I did a short about Threadcast.
661
00:51:25,500 --> 00:51:29,020
What if you just created a Threadcast.
662
00:51:29,220 --> 00:51:31,140
For yourself.
663
00:51:31,340 --> 00:51:34,100
Where anybody could obviously join in,
664
00:51:34,300 --> 00:51:39,740
but you just take your information, you posted there throughout the day.
665
00:51:39,940 --> 00:51:43,220
You set up your own targets, and I'm talking to people who aren't setting up
666
00:51:43,420 --> 00:51:47,660
targets, obviously, if you're set one up already, well, then you're already set one up.
667
00:51:47,860 --> 00:51:49,460
But.
668
00:51:50,780 --> 00:51:58,340
I could set up a Threadcast and just post his ChatGPT talk to them there.
669
00:51:58,540 --> 00:52:02,420
I mean, I mean, you don't even need to use the technology one.
670
00:52:02,620 --> 00:52:06,340
If you don't want just set up your own and you just write up.
671
00:52:06,540 --> 00:52:12,620
This is my Threadcast for today of my ChatGPT conversations and posting whatever
672
00:52:12,820 --> 00:52:15,060
you want in there. Boom.
673
00:52:15,260 --> 00:52:19,460
And somebody can go in and actually interact with your conversation.
674
00:52:19,660 --> 00:52:20,660
Because.
675
00:52:20,980 --> 00:52:27,020
That's also a key piece to these training models is you take the synthetic data.