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Today's date is September 20th, 2024, and we will get started in a couple minutes.
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Thank you.
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you
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All right, everybody.
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Getting started on time today, and good to see some of the crowd showing up, and I am sure others will be floating in over the next few minutes as they start to see that we are live, get their reminders, and all kinds of good stuff.
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A couple things of housekeeping that Sunseeker put in the Threadcast.
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I just wanted to touch upon, really not touching upon what I'm going to go over, but this is basically Leo business, if you will.
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She said, not all feedback has to be an error. You can give suggestions well-formulated, even with models.
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Now, with models, I don't think she means in bikinis, but that's a valid point.
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The feedback tag can be used.
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If you have a suggestion, if you have an idea, certainly drop it.
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We know Khal reads them, and if it's a good idea, he'll add it to the list.
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Sunseeker goes on to say, feedback with the correct tag and all the info is so important and helpful.
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Imagine you were the one having to fix the problem when doing a report.
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And I see SimpleGame is listening.
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He is of the coding ilk, and I'm sure he can identify that.
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When people only give use a little bit of the information about the bugs, it's like, okay, well, what the hell are you talking about?
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So, again, with feedback, the more you give, especially if you give screenshots, here's a use case, maybe record a short.
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If you're on your laptop, I've done this before where I'm having an issue.
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I'll take out my phone and I'll record.
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What is good?
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What's going on on my laptop?
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And then I'll include that with the feedback tag.
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That way they can see what's going on.
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Something simple, something easy, but that at least gives them a direction to look.
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So, those are a couple suggestions from Sunseeker, which are valid suggestions.
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So, please pay attention.
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And, yes, consider if you were on the other side.
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I mean, when you just simply say site not working feedback, what's a developer read that's supposed to do?
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I mean, can you narrow it down?
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So, the more we give, the better the results will be.
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Yes, Brando, there is the link.
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Can somebody drop the link in the Threadcast?
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Last to the end space, so Brando and some of the others.
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It's already I put it down lower, but I guess I could probably bring it back up to the top.
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Okay.
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With that done.
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I can turn the That's it.
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Every Alphabet Awesome question, any time, please.
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Yes, thank You.
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Let's have some questions.
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all right I dropped it in there and MoreTea did too Walter J did too so Brando if you
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can't find it it's there three times all right what I want to discuss today and this is kind
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of an extension of what we talked about last week it is also something that we discussed Lisa
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and Gentile and myself a show we did on Monday and this I think is one of the most important
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things that we have going right now a lot of you have heard the
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discussion around AI the excitement around AI the debate around AI
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and in my time watching technology and technological Trends which I can tell you
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I started this in 1999 this is the fastest moving most impactful thing I've ever seen
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this is even faster moving than the smartphone which was pretty fast moving
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than the United States
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considering that went from pretty much zero market share to over 70 in a little over six years
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that's pretty fast and this is going a lot quicker
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and so what I think and this is credit to Nifty because he kind of dropped this
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moniker if you will I didn't think of it in these terms but he said LeoAI as a service
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laptop something like that KR L
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software used to be something you bought And it used to come on a disc and you would load
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it on your computer and then it was also something in the internet age you would download you pay for
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it you download it it's now on your computer well software as a service then advance for a lifetime
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okay now that's kind of a spin on software-as-a-service and the community has been involved in
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service became something completely different and suddenly companies were paying for their enterprise
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software people were used up in the cloud and it wasn't something you owned it was something you
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used it was a service and you paid for and there were different models of pricing and people paid
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based upon seeds and things of that name that these companies had had developed and so this
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is an extension of that idea and my theory is as an owner social media is dead as a destination
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social media is dead
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as a product again I say as an owner so as an owner we're looking at google
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we're looking at xai we're looking or x we're looking at meta we are looking at the entities
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that own these platforms what are they looking at and it may be the same thing they've always
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been looking at but it's on steroids they're looking at data
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social media is a pathway to more data
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exclamation point people show up each day to social media x youtube facebook instagram
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whatever it is snapchat whatsapp uh tick tock and they provide data
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this treasure in the modern era and they just provide it to these
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big tech companies the big tech companies
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are very appreciative I'm sure even though they don't send out thank you notes
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because you are feeding their coffers
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and the reason why you are feeding their coffers and why they are so
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so
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they are so benefited from it is what I'm posting in the room in the Threadcast now
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the data feedback loop
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this is the modern digital platform model in my opinion I've thought a lot about this
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and it's very simple the data that people place in social media
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the neural network it's used to train the models from these models these companies these companies
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that own these digital platforms they create and will be creating more ai features that they are
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going to be placing ai features and services that they will be placing on their platforms
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which generate more data and as people utilize them they will create more data
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and that data is then fed back into the neural network
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to train further models and it's a rinse and repeat method and I'll give you an example
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youtube youtube is still by far the most
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dominant video platform. There are some very successful channels on YouTube, Mr. Beast being
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the big one. But there's a lot of people who have pretty big followings and done very well
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in different niches. And they do fantastic. Google has added YouTube
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a community feature which allows these content creators to engage with their audience.
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Why? What is it like? They are targeting Discord. They are targeting, perhaps, Reddit.
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They are trying to keep those people who are on YouTube, who are on YouTube,
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conversations that happen between the content creators and their audience from
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help happening elsewhere now obviously you could say well they want time on
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site they want they want that and that's probably true but let me ask you how
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much data does discord generate that is what Google is after they want people
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talking on their application because any conversation that takes place with any
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of these content creators is our on Google server more data so they bring
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out a social media site and they put it on their website and they put it on their
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social media site and they put it on their social media site and they put it on their
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social media font feature which is okay for the users hey it has utility it's a
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social media feature what is Google's goal more data
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more data and you could say well they want the advertising yes they do they're
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so big advertising company but you know what the money they are going to make
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off Gemini most likely will to walk their advertising record
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off Gemini most likely will to walk their advertising record
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off Gemini most likely will to walk their advertising record
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open AI is going for another round of funding their
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open AI is going for another round of funding their
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open AI is going for another round of funding their valuation is 150 billion dollars
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valuation is 150 billion dollars
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valuation is 150 billion dollars
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think of that
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is that based on their revenue you know
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is that based on their revenue you know
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is that based on their revenue you know is it based on their profitability know
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is it based on their profitability know
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is it based on their profitability know they're losing an estimated like eight
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they're losing an estimated like eight
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they're losing an estimated like eight billion dollars a yeardar's worth but
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billion dollars a yeardar's worth but
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a year or something.
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It's based on the fact that they have these models, and they have other products in the
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pipeline like Sora and some of these other things that they're going to be rolling out
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over time.
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And it's going to be enormous.
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And one of the reasons from Leo's perspective that I keep harping upon this is if you want
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$100, you want $150 million, you want a $200 million token market cap value, I don't think
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you get it there with social media.
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Because people who are on social media are happy on social media.
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And we can con ourselves into believing, oh, they'll leave Twitter and come to Leo.
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They'll leave Medium and post on Leo.
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No.
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We've tried that for years.
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You can talk about censorship-resistant.
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You can talk about immutable data.
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Most people don't know.
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They don't care.
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In fact, over the years, we see people on Hive bitching and moaning when Twitter closed
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their account, or YouTube closed their account, or whoever closed their account.
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And they stayed on Hive, posted on Hive, till the second their account was reactivated.
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And then what happens?
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They're right back to YouTube.
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No more three-speed.
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Now, I'm not saying that we don't want to draw people with the social media to Leo.
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But again, we are owners.
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If you have the Leo token, you are an owner.
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You are not a user.
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You are an owner.
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It's a much different perspective.
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Another example about the data feedback loop.
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Alibaba.
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Chinese version of Amazon.
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Amazon slash some of the other companies, because Alibaba does a lot of different things.
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Alibaba has a cloud service.
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They just released over 100 open source AI applications.
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And they're hoping that this will stimulate companies and people around the world to use
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Alibaba's cloud.
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All right.
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Thank you.
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Now, obviously, it's a revenue generator when you get into enterprise and stuff like
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that.
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But what about all the free space that these apps or these cloud services give?
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What about like Google Photos or whatever the hell it's called?
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And all these people loading up Google and putting their photos on Google.
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They give them two gigabytes or five gigabytes or whatever the hell they give for free.
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Right?
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What do you think happens with those photos?
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You don't think they're useful?
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You don't think they're useful?
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You don't think they're useful?
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They don't have the tools to train?
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You put stuff on their server they have access to.
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And that's what they want, more data.
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So they go and design all these AI functions, all these AI features that, by the way, are
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on their system to get people to utilize it.
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And what happens when people use it?
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More data is created.
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That's the goal.
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That's the goal.
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That's the feedback loop.
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And it actually accelerates.
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And one of the reasons why I'm so keen on LeoAI and why I've hammered this time and time and time again is you get a LeoAI chatbot.
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Even if it's not posted on the blockchain, it's still on Leo's server.
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It's still data for Leo.
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So every time somebody prompts a chatbot, more information is created.
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That information is fed back in.
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So even though it's synthetic, it's fed right back in.
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Now, what is the advantage to Leo?
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We can take that data and post it on the blockchain.
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First off, it makes it public.
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Because now it's part of the high blockchain.
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Anybody can see it.
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It's not only Leo.
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But what can happen?
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People can actually interact with that data, with that information.
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They can comment on it.
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They can respond to it.
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Say what they agree with.
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They can say what they disagree with.
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They can say where it's incorrect.
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They can feed back the static data.
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And what you have now is you have synthetic and human data combined.
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To me, that's more powerful.
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And that really helps the knowledge graph.
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And if you dig in a little to knowledge graph, which is part of data science,
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and vector databases is what AI uses, it all ties in how the models start to connect information
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or connect data and spit out information.
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And it's a proper way of phrasing it.
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And this is huge.
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And one thing I learned, and Khal commented on this the other day on the AMA,
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or on the marketing call, excuse me.
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I made a reference that Khal was the only one to mention AI in any of the presentations I watched.
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He was the only one.
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Which tells me nobody is doing this.
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And that was validated because Khal said he met with a couple people after he mentioned that.
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And he explained what he was doing and how we are, how Leo is taking the high blockchain data and training model.
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And people say, I hope somebody would have done that.
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LEO's going to stand out because this is not a cheap process and Khal said that it's very
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expensive and you need you need to have the right people to do this
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and uh I guess since the model's being trained evidently they do
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but as a little side note just to give you an idea
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of what some of the potentiality is and this isn't even talking in the data sense how
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I'm referring to it but it all feeds in together
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a company let's say a crypto company wants to advertise on LEO
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and we all know the the LEO ad platform's being worked on so or we were told so
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a crypto company wants to advertise
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do they just throw up a banner and pay whatever and there it is
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this is what LeoAI can do LeoAI can start to draw a list
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of those people who regularly talk about bitcoin
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who talk about crypto who post about crypto
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if you post about food and you don't post about crypto
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you are probably not going to be able to do that
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you are probably not going to be able to do that
239
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you are probably not going to be able to do that
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part of their target audience you might be
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but from a statistical standpoint a probability
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standpoint usually the people who are talking about
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crypto are the ones who are interested in crypto
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those are the people who are going to be targeted with the ads
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which of course as an owner and many people who've been on LEO said
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I miss the ads because you know damn well as an owner
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that's to our benefit but even as a user
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I mean if you're a guy
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do you want ads about the barbie movie now you may be into that type of thing
250
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but odds are you're not that's not going to be necessarily your forte
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it's not going to be your deal so if you're going to see ads you might want
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to see ads at least of stuff that you could be
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conceivably interested in and of course the youtubes and the or google
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meta they've spent who knows how much money fine-tuning all this stuff in their
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algorithms over the years but this is part of LeoAI but how does
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that work how does that happen how does LEO as a platform offer that
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ability to the advertisers because we put in data
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because the data was put onto the blockchain
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and that is enormous
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but again it all comes back to that initial thrust of data here's another just side bit with this idea
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2015 open ai was started by I think elon moss altman and
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what was the other guy's name brockman or somebody else but anyway
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open ai was started in 2015
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now I don't know how they proceeded along
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they hired some people they had people who coded they bought computers they bought servers
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they wrote algorithms they did all this good stuff right
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what they have zip you are not doing anything in ai without data so open ai had to go get data
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and we now know they went and scraped every site that they could scrape they sent out robot.txt
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crawler and crawled whatever they could and now open ai is being sued by everybody and their
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brother because they didn't have any of their data on their own but they had to go get data before
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they could do anything
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write all the algos in the world if you have no data
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you have nothing to put into the compute
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and it's the same thing here
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we need the data
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LEO has
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a social media platform where we can put data in
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we can generate it we can keep feeding it
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and so this is an important
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important feature
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brando asked what gives LeoAI that competitive edge
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very simple brando
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it is
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the only
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model that I know of
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that will be trained
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on everything
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on hot
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and
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covid
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episc
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pigs
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roe
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bear
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they over
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I doubt at this point anybody has scraped the Hive database
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now
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huh data is incorporated in other models because you can go to meta and you can video
299
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and you will get information on this high block not the high blockchain mining company you also
300
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get that so if you are specific it has the information in there where do you get that
301
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information hard to know the source but I would believe a lot of the data came from indexed pages
302
00:27:04,600 --> 00:27:20,440
from Hive so from peakd hot blog pages that were indexed to google you know what's not indexed threads
303
00:27:24,440 --> 00:27:30,280
that's not in there you know what's also not on the high blockchain images
304
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you know it's also not on there
305
00:27:34,920 --> 00:27:39,800
video now at this point in time I don't believe
306
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I could be mistaken but I don't believe that LeoAI is being trained on any of the images
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on the image keep them LEO has its own image server so any image you upload through LEO
308
00:27:56,440 --> 00:28:04,040
is on that image but I don't believe because of the cost that images or video are being used to
309
00:28:05,320 --> 00:28:11,080
I could be mistaken and they could be training on images too but I I would say that they're not
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the key is at this time over the next year to year and a half
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the cost of computer will continue to come down what we are probably seeing if I had a guess
312
00:28:26,360 --> 00:28:34,040
InLeo ai's training based upon what I know about the cost you're probably looking at about a chatgpt
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in the so this is a link in your environment or on youtube if you want to look at yourself
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your3614b of the model right here when you create a how I kalau
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is distributed to this emily peter I'm one of my best messengers but if you're watching from my
316
00:28:59,400 --> 00:29:00,840
home market I'd recommend that you open up my он reca k20 on 내일
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I checked out from da alمكن and they're
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In terms of the training of Hive data,
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they're using slower processing because Leo
320
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doesn't have the resources to go out and get 10,000 GPUs.
321
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It's not cheap to do this.
322
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So the fact that Leo is going to be
323
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able to answer questions about anything that's
324
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put on the Hive Blockchain and do it almost instantaneously
325
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is a big competitive edge.
326
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So you are going to be able to go and ask
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AI about your voting, or about who voted on your stuff,
328
00:29:55,700 --> 00:30:01,580
or about which post got the most comments, which post
329
00:30:01,580 --> 00:30:03,700
got the most upvotes.
330
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You can't ask that of Llama from Meta.
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Meta may have some of the articles that were indexed,
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but it's not looking at voting on the Hive Blockchain
333
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because it doesn't care.
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LeoAI does.
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And as Khal said with the advertising,
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it gives the ability to have each person create a profile.
337
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Well, LeoAI can create a profile for each person
338
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based upon what engagement and what you put on there.
339
00:30:40,180 --> 00:30:44,840
So if you're constantly talking about sports, and let's say EPL,
340
00:30:44,840 --> 00:30:46,300
and you're always talking about that,
341
00:30:46,300 --> 00:30:48,060
and you're posting about that, it's
342
00:30:48,060 --> 00:30:50,520
going to create a profile around that,
343
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knowing that you are big into the EPL.
344
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You are big into sports.
345
00:30:57,540 --> 00:30:58,220
Well, guess what?
346
00:30:58,220 --> 00:31:00,780
If there's an advertiser who is advertising something
347
00:31:00,780 --> 00:31:03,700
to do with sports, you may end up seeing that.
348
00:31:03,700 --> 00:31:10,300
And this is what Grok does, by the way.
349
00:31:10,300 --> 00:31:13,660
Anybody who has premium Twitter subscription,
350
00:31:13,660 --> 00:31:18,000
go and type your username into Grok, your Twitter handle.
351
00:31:18,000 --> 00:31:23,620
It'll give you a profile based upon what you've done on there.
352
00:31:23,620 --> 00:31:26,740
And the more active you are, the more accurate it is.
353
00:31:26,740 --> 00:31:28,960
I mean, obviously, over 10 years,
354
00:31:28,960 --> 00:31:31,480
you've done like 100 tweets.
355
00:31:31,480 --> 00:31:33,700
OK, it doesn't have a lot of data to compile on.
356
00:31:33,700 --> 00:31:38,080
I mean, it'll give you something,
357
00:31:38,080 --> 00:31:41,580
but it's like not much in there.
358
00:31:41,580 --> 00:31:42,700
And it's the same thing on Leo.
359
00:31:46,720 --> 00:31:48,880
But again, you have to put in the data,
360
00:31:48,880 --> 00:31:52,900
and the data has to be in text form.
361
00:31:52,900 --> 00:31:57,580
And so this brings up the next question of what kind of data?
362
00:32:03,700 --> 00:32:11,660
There's two things about posting on threads, in my view.
363
00:32:11,660 --> 00:32:14,800
The first thing is, you post something, you want engagement.
364
00:32:14,800 --> 00:32:17,420
You want others to see it, you want others to engage.
365
00:32:17,420 --> 00:32:17,960
It's a meme.
366
00:32:17,960 --> 00:32:21,180
You find it funny, you think other people find it funny.
367
00:32:21,180 --> 00:32:22,740
OK, wonderful.
368
00:32:22,740 --> 00:32:24,320
Doesn't do anything for the database,
369
00:32:24,320 --> 00:32:27,120
or doesn't do much for database, but you think it's funny.
370
00:32:27,120 --> 00:32:30,580
You post a short off YouTube because you think it's funny.
371
00:32:30,580 --> 00:32:33,680
Some guy riding a bicycle, and then he rides into a garbage
372
00:32:33,680 --> 00:32:34,180
can.
373
00:32:34,180 --> 00:32:36,280
So you post that, you think it'll be funny.
374
00:32:36,280 --> 00:32:37,600
You want other people to see it.
375
00:32:37,600 --> 00:32:42,140
OK, so you're sharing content that you think others will like,
376
00:32:42,140 --> 00:32:45,540
and maybe others can comment on, engage in, whatever.
377
00:32:45,540 --> 00:32:48,520
That's the first thing, engagement data,
378
00:32:48,520 --> 00:32:50,100
engagement content.
379
00:32:50,100 --> 00:32:54,780
The second thing is database content.
380
00:32:54,780 --> 00:32:57,820
This is totally different.
381
00:32:57,820 --> 00:33:02,740
A YouTube short, or worse, a YouTube full-length video
382
00:33:02,740 --> 00:33:03,660
doesn't do anything.
383
00:33:03,680 --> 00:33:11,700
Because all it is, is it's a stream in.
384
00:33:11,700 --> 00:33:14,720
It's not even, it's an embed.
385
00:33:14,720 --> 00:33:19,280
The video is not even on Leo or on IPFS.
386
00:33:19,280 --> 00:33:22,440
It's just an embed from YouTube.
387
00:33:22,440 --> 00:33:25,840
So you'll notice that at least once a day,
388
00:33:25,840 --> 00:33:27,740
I'll put up a YouTube video.
389
00:33:27,740 --> 00:33:30,320
I'll go grab the transcript from YouTube.
390
00:33:30,320 --> 00:33:33,200
I'll feed that through a chat bot and get a summary.
391
00:33:33,200 --> 00:33:33,600
OK.
392
00:33:33,600 --> 00:33:35,700
And then post the summary in the threads
393
00:33:35,700 --> 00:33:38,400
underneath the video.
394
00:33:38,400 --> 00:33:42,960
Because now, that's part of the ..
395
00:33:42,960 --> 00:33:47,100
So if you're sitting there, and you're just re-threading stuff,
396
00:33:47,100 --> 00:33:48,860
that's adding to the database.
397
00:33:48,860 --> 00:33:53,640
If you're just sitting there throwing up YouTube links,
398
00:33:53,640 --> 00:33:56,640
that's not adding to the database.
399
00:33:56,640 --> 00:33:59,880
I mean, now, if you put up something somebody might enjoy,
400
00:33:59,880 --> 00:34:01,600
OK, that's fine.
401
00:34:01,600 --> 00:34:02,600
But let's be honest.
402
00:34:02,600 --> 00:34:03,440
How many people?
403
00:34:03,440 --> 00:34:06,980
If you put up six one-hour-long videos,
404
00:34:06,980 --> 00:34:09,020
who the hell is going to watch that?
405
00:34:09,020 --> 00:34:11,980
I mean, shorts might get some views.
406
00:34:11,980 --> 00:34:16,100
I've seen people put up shorts and stuff like that.
407
00:34:16,100 --> 00:34:18,100
If I'm interested in by the title, I'll click on it.
408
00:34:18,100 --> 00:34:21,200
I'll watch it for 30, 45 seconds, whatever it is.
409
00:34:21,200 --> 00:34:22,260
And it's a YouTube embed.
410
00:34:22,260 --> 00:34:23,440
It's not even LeoShorts.
411
00:34:23,440 --> 00:34:24,440
It's a YouTube embed.
412
00:34:28,840 --> 00:34:29,960
And then tagging.
413
00:34:29,960 --> 00:34:33,240
Tagging is very important, because when we deal with the knowledge,
414
00:34:33,240 --> 00:34:35,900
graph, this is how things tie in.
415
00:34:35,900 --> 00:34:36,820
But what do people do?
416
00:34:36,820 --> 00:34:38,920
Try and scout tokens.
417
00:34:38,920 --> 00:34:43,240
If you take a sports video, or if you take a post about sports,
418
00:34:43,240 --> 00:34:47,400
and you use a tag like free compliments,
419
00:34:47,400 --> 00:34:51,720
and then you use a tag of free compliments for something
420
00:34:51,720 --> 00:34:55,480
for food, and then you use the tag for free compliments,
421
00:34:55,480 --> 00:34:57,480
and I'm using this because it's a top-trend in tech,
422
00:34:57,480 --> 00:35:02,620
so I'm just looking at it, for something to do with crypto, what the hell?
423
00:35:02,620 --> 00:35:06,080
What the hell are you doing?
424
00:35:06,080 --> 00:35:14,360
You're trying to scout whatever, but it's not training the AI on anything that matters.
425
00:35:14,360 --> 00:35:24,100
So now you have free compliments tied to data that has nothing to do with each other.
426
00:35:24,100 --> 00:35:25,700
And we see this all over the place.
427
00:35:25,700 --> 00:35:28,560
We see people tag spamming.
428
00:35:28,560 --> 00:35:31,280
They put up a video, and they put 10 fucking tags underneath.
429
00:35:31,280 --> 00:35:32,320
What the hell are you doing?
430
00:35:32,320 --> 00:35:38,940
And most of them aren't even about what the video's about.
431
00:35:38,940 --> 00:35:45,220
If the video, and you put up comedy, because it's a comedy skit or something,
432
00:35:45,220 --> 00:35:47,700
okay, well, at least that's something there.
433
00:35:47,700 --> 00:35:52,500
Comedy, Jim Carrey, The Tonight Show, television.
434
00:35:52,500 --> 00:35:53,940
Okay, well, at least that makes sense.
435
00:35:53,940 --> 00:35:59,660
All of this feeds in and ties in together.
436
00:36:02,320 --> 00:36:09,780
So it's understanding and trying to assimilate the data in a certain way that the machine
437
00:36:09,780 --> 00:36:18,260
learning and the models will improve upon.
438
00:36:18,260 --> 00:36:21,160
So we need stuff to engage with.
439
00:36:21,160 --> 00:36:23,060
We need people to engage.
440
00:36:23,060 --> 00:36:26,480
Don't overlook the fact of engagement.
441
00:36:26,480 --> 00:36:29,680
That's very important.
442
00:36:29,680 --> 00:36:31,320
But so is adding to the database.
443
00:36:31,320 --> 00:36:32,320
Okay.
444
00:36:32,320 --> 00:36:33,900
So that's the numbers that we have.
445
00:36:33,900 --> 00:36:35,940
Which brings me to another point.
446
00:36:35,940 --> 00:36:44,820
Do you want Leo to be worth a hell of a lot?
447
00:36:44,820 --> 00:36:50,280
Do you want Leo to be a high market cap token?
448
00:36:50,280 --> 00:36:57,980
Do you want your future of Leo financially to be very, very nice?
449
00:36:57,980 --> 00:37:01,820
Well, I'm going to frame this.
450
00:37:01,820 --> 00:37:08,420
frame this in a way we've all heard of tokens we all see if people want to get
451
00:37:08,420 --> 00:37:14,840
tokens from Leo how are you given to Leo
452
00:37:16,120 --> 00:37:23,580
think of that how many kids are you given to Leo how many tokens are you
453
00:37:23,580 --> 00:37:29,300
creating I'll drop a link here
454
00:37:37,540 --> 00:37:43,220
Ahmad says do you want Leo to be worth a lot yes and and with with Ahmad
455
00:37:43,220 --> 00:37:48,540
I'm I'm preaching to the choir here Ahmad understands this I'll made in fact
456
00:37:48,540 --> 00:37:53,520
most every day is setting up a Threadcast basically for people
457
00:37:53,520 --> 00:37:53,560
you're setting up a Threadcast basically for people you're setting up a Threadcast basically for people
458
00:37:53,560 --> 00:37:59,220
to post their chats with ChatGPT or Claude or wherever.
459
00:37:59,800 --> 00:38:03,440
He has a Threadcast where if you have a conversation with one of the chatbots,
460
00:38:04,000 --> 00:38:07,540
take it, copy it, and drop it in to his Threadcast.
461
00:38:08,480 --> 00:38:10,140
It's a great way to add data.
462
00:38:14,360 --> 00:38:18,000
Anybody who's been involved in computer science before crypto
463
00:38:18,000 --> 00:38:19,920
knows what I'm talking about.
464
00:38:19,920 --> 00:38:24,900
Those of us who weren't, to us a token is crypto.
465
00:38:25,180 --> 00:38:26,340
A token is not crypto.
466
00:38:27,320 --> 00:38:31,540
A token is actually a unit of data.
467
00:38:34,860 --> 00:38:37,840
Tokens are taking on different meaning in the AI age
468
00:38:37,840 --> 00:38:40,060
to most of us who've been in crypto.
469
00:38:41,000 --> 00:38:44,720
It's the same meaning of anybody who's been in the computer science development world
470
00:38:44,720 --> 00:38:47,000
because you've dealt with this for years.
471
00:38:48,740 --> 00:38:49,900
A token is a unit of data.
472
00:38:49,900 --> 00:38:51,060
A token is a unit of data.
473
00:38:52,520 --> 00:38:59,140
And so you'll hear things where they talk about the token window of a chatbot.
474
00:38:59,980 --> 00:39:01,320
How big's the token window?
475
00:39:02,380 --> 00:39:05,420
That's telling you how much data can be put in there.
476
00:39:06,760 --> 00:39:08,860
And so you'll go and you'll look at some of these
477
00:39:08,860 --> 00:39:12,040
and I think Claude is like 100 or 200,000 tokens.
478
00:39:12,640 --> 00:39:15,220
It's like off the charts compared to some of the rest of them.
479
00:39:15,800 --> 00:39:17,460
Meta is like 2,000.
480
00:39:19,900 --> 00:39:27,320
So, yeah, MoreTea seems to be,
481
00:39:27,780 --> 00:39:30,620
is anybody else having problems with me fading out?
482
00:39:36,060 --> 00:39:37,180
Let me know.
483
00:39:37,340 --> 00:39:40,280
I mean, MoreTea said that and I think Brando said it earlier.
484
00:39:40,280 --> 00:39:49,880
I don't know if it's something with my mic or if it's X or I don't know what it is.
485
00:39:49,900 --> 00:39:52,760
So let me know if it continues.
486
00:39:52,940 --> 00:39:55,540
I'll try to hold the phone still.
487
00:39:55,640 --> 00:39:57,220
Maybe that'll be a little better.
488
00:39:58,440 --> 00:40:05,220
But anyway, so basically what we're saying with how many tokens are you adding
489
00:40:05,220 --> 00:40:09,080
is how much data are you giving to Leo?
490
00:40:10,040 --> 00:40:12,140
And I'll frame this up for everybody.
491
00:40:15,980 --> 00:40:17,660
Lama 3.1.
492
00:40:17,660 --> 00:40:22,300
Was trained on 16 trillion tokens.
493
00:40:23,160 --> 00:40:30,620
Now, a token can mean a lot of different things in terms of data.
494
00:40:31,520 --> 00:40:32,840
A token can be a word.
495
00:40:33,260 --> 00:40:34,480
A token can be a space.
496
00:40:34,580 --> 00:40:35,620
A token can be a character.
497
00:40:35,740 --> 00:40:39,420
There's different types of tokens and they denote different things.
498
00:40:42,600 --> 00:40:45,800
But a simple framework to operate from.
499
00:40:45,800 --> 00:40:46,800
Thanks, Walter J.
500
00:40:46,900 --> 00:40:47,460
He said, okay.
501
00:40:47,660 --> 00:40:47,940
Thank you for him.
502
00:40:50,540 --> 00:40:52,600
Sunseeker has the volume going up and down.
503
00:40:53,200 --> 00:40:53,320
Okay.
504
00:40:55,960 --> 00:40:59,460
For a simple frame of reference, let's just say a token is a word.
505
00:41:01,320 --> 00:41:05,020
Now, I dropped the OpenAI tokenizer in the room.
506
00:41:05,020 --> 00:41:11,860
If you take one of your articles and you copy the text and you throw it in there,
507
00:41:12,560 --> 00:41:14,780
it will give you the number of tokens.
508
00:41:15,200 --> 00:41:16,360
That article.
509
00:41:17,660 --> 00:41:27,840
And you'll be able to toggle back and forth between GPT-3 and GPT-3.5 and 4.0.
510
00:41:28,000 --> 00:41:30,060
And you'll notice the tokens are a little different.
511
00:41:31,300 --> 00:41:36,780
And that's what I was talking about with Khal and training on the images and videos.
512
00:41:37,000 --> 00:41:45,480
You'll notice the same article will have more tokens on ChatGPT-3 than it does on ChatGPT-4.
513
00:41:45,820 --> 00:41:47,540
Because there's a little bit more.
514
00:41:47,540 --> 00:41:53,660
There's a lot more efficiency in GPT-4 than GPT-3.
515
00:41:54,520 --> 00:41:57,680
That's the advancement in the efficiency of these different models.
516
00:41:57,860 --> 00:41:59,580
They get more efficient over time.
517
00:42:00,160 --> 00:42:06,860
And so that's why over time it will get cheaper and cheaper to run these models where potentially next year,
518
00:42:06,940 --> 00:42:11,040
the end of next year, maybe in 2026, you can run a GPT.
519
00:42:11,040 --> 00:42:13,580
You can train a GPT-3 for probably $10,000.
520
00:42:14,520 --> 00:42:16,380
So it's going to keep dropping in price.
521
00:42:16,380 --> 00:42:17,360
But anyway.
522
00:42:17,540 --> 00:42:22,820
So you throw your article in and you see it's 800 tokens.
523
00:42:25,420 --> 00:42:28,040
That quantifies your article.
524
00:42:28,640 --> 00:42:39,200
When I do a transcript on my shorts, it's usually about 125, maybe 150 tokens, the transcript.
525
00:42:39,200 --> 00:42:46,440
Because I take my shorts, I run them through a script that Mightpossibly create it, and I get a short.
526
00:42:46,820 --> 00:42:47,520
I mean, I get a transcript.
527
00:42:47,840 --> 00:42:49,320
Which I post under my short.
528
00:42:50,240 --> 00:42:54,220
And it's about 125, maybe 150 tokens.
529
00:42:59,080 --> 00:43:01,760
Llama 3.1 was trained on $16 trillion.
530
00:43:02,280 --> 00:43:04,540
How many tokens are in the Hive database?
531
00:43:05,820 --> 00:43:06,640
I don't know.
532
00:43:06,900 --> 00:43:07,680
I have no clue.
533
00:43:08,340 --> 00:43:11,440
How many words are being created every day on Leo?
534
00:43:11,860 --> 00:43:14,200
How many more words can be created?
535
00:43:14,200 --> 00:43:16,200
And see, this is where Ahmad's Threadcast.
536
00:43:17,540 --> 00:43:20,040
Why I said I'm preaching to the choir.
537
00:43:20,580 --> 00:43:24,980
When he takes a chat that he had with, I think he uses GPT.
538
00:43:24,980 --> 00:43:28,860
So he's having a chat with ChatGPT.
539
00:43:29,380 --> 00:43:32,220
And he breaks it up into six or seven threads.
540
00:43:33,480 --> 00:43:41,980
He's instantly adding, you know, 700, 1,000 tokens to the database.
541
00:43:42,580 --> 00:43:46,360
So the mindset is everybody wants to get Leo tokens.
542
00:43:46,460 --> 00:43:47,520
And they want to take tokens.
543
00:43:47,520 --> 00:43:49,060
And I want to be paid out.
544
00:43:49,140 --> 00:43:49,880
I want to be upvoted.
545
00:43:49,980 --> 00:43:51,180
I want more and more tokens.
546
00:43:51,700 --> 00:43:53,360
Well, why don't you create more and more tokens?
547
00:43:54,760 --> 00:44:09,880
See, if Leo has a database or Hive has a database of billions and billions and billions and tens of billions and hundreds of billions of tokens, that's a valuable database for AI training.
548
00:44:12,440 --> 00:44:16,560
Which then brings us full circle to what I said about HiveFest.
549
00:44:17,520 --> 00:44:23,240
It's one thing to have an open database, a permissionless database, which anybody can utilize.
550
00:44:23,820 --> 00:44:26,340
It's another thing to actually utilize the data.
551
00:44:26,780 --> 00:44:29,160
And that's what LeoAI is being trained on.
552
00:44:30,020 --> 00:44:33,740
Leo is actually training a model utilizing the data.
553
00:44:34,440 --> 00:44:39,000
To my knowledge, and from what Khal said, nobody else is doing that.
554
00:44:40,380 --> 00:44:40,980
Nobody.
555
00:44:43,060 --> 00:44:44,420
That's a big difference.
556
00:44:44,980 --> 00:44:46,960
That's going to make it stand out.
557
00:44:47,520 --> 00:45:01,920
And it's also going to keep feeding into this system where more AI services can be created that can help increase the value of the system.
558
00:45:02,480 --> 00:45:06,820
And if you understand the tokenomics of Leo, we see how this enhances it.
559
00:45:07,900 --> 00:45:13,400
So, for example, LeoAI is going to be a part of premium.
560
00:45:14,980 --> 00:45:16,440
10HBD gets you premium.
561
00:45:16,440 --> 00:45:16,520
Yeah.
562
00:45:17,520 --> 00:45:22,100
So, whatever features you have now, LeoAI will be included.
563
00:45:22,840 --> 00:45:24,680
Now, what will be included in that?
564
00:45:24,780 --> 00:45:25,360
I don't know.
565
00:45:25,560 --> 00:45:26,680
We'll have to wait and see.
566
00:45:26,840 --> 00:45:32,540
But it will have some type of chatbot, first and foremost.
567
00:45:33,860 --> 00:45:37,520
So, now you have chatbot capabilities right on Leo.
568
00:45:38,480 --> 00:45:43,700
You have a co-pilot type capability right on Leo.
569
00:45:43,700 --> 00:45:49,740
You have recommend ends right on Leo.
570
00:45:51,580 --> 00:45:58,600
I mean, I've talked about how, you know, right now, with data in, you put data in on Leo, it's lost forever.
571
00:45:58,760 --> 00:46:00,580
You even create shorts, it's lost.
572
00:46:01,940 --> 00:46:04,780
I mean, it's on your shorts page on your profile.
573
00:46:05,180 --> 00:46:07,320
And you can go to the short screen and scroll down.
574
00:46:07,580 --> 00:46:11,940
But, I mean, now if something posted two days ago, it's missing in action.
575
00:46:12,380 --> 00:46:13,680
You know, you're going to scroll back.
576
00:46:13,680 --> 00:46:15,300
Two days.
577
00:46:17,540 --> 00:46:19,960
But what happens when there's a recommend engine?
578
00:46:21,020 --> 00:46:26,360
What happens when you click on it and play one and another one gets recommended to you?
579
00:46:27,180 --> 00:46:30,180
Isn't this what happens on all the major social media platforms?
580
00:46:30,460 --> 00:46:32,080
That'll be driven by LeoAI.
581
00:46:33,300 --> 00:46:36,800
And, of course, that part, I presume, will be available to everybody.
582
00:46:37,420 --> 00:46:38,720
Everybody will have that feature.
583
00:46:38,820 --> 00:46:40,900
But the chatbot and stuff like that, you pay for it.
584
00:46:42,160 --> 00:46:43,660
Have you seen what's happening with KPI?
585
00:46:43,680 --> 00:46:44,180
Canva.
586
00:46:44,880 --> 00:46:58,020
Canva is creating AI tools on their platform so people can take their images and their information, whatever they're creating, and use AI tools to enhance them and create them and do whatever, edit them, all that stuff.
587
00:47:00,440 --> 00:47:02,160
We need those tools on Leo.
588
00:47:03,300 --> 00:47:11,500
Now, you may end up seeing different layers built where, OK, basic Leo premium gives you the chatbot, gives you the copilot, gives you this.
589
00:47:11,740 --> 00:47:13,580
If you want these other tools, there will be an extra.
590
00:47:13,580 --> 00:47:16,060
We can have one or two businesses and you can have one or five HBD a month or 10 HBD a month or whatever.
591
00:47:17,060 --> 00:47:21,260
And you let people start scaling up and see whatever they want and whatever their needs are.
592
00:47:22,720 --> 00:47:26,600
But that's what I mean by LeoAI as a service.
593
00:47:27,100 --> 00:47:34,820
You start offering out AI tools and all these tools end up generating more data on the platform.
594
00:47:35,660 --> 00:47:39,360
And the more data that's generated on the platform, the more that is fed in.
595
00:47:42,260 --> 00:47:42,760
Yeah, see?
596
00:47:43,580 --> 00:47:51,600
there's one uh ahmed just did one he ran it through the the tokenizer and uh
597
00:47:51,600 --> 00:48:02,580
it was a uh it was a thread that he posted and you can see it's 153 tokens 702 characters
598
00:48:02,580 --> 00:48:10,380
and then you know it gives you some understanding underneath of how how if each token and every one
599
00:48:10,380 --> 00:48:17,920
of those different colors is a token so token r small chunks each of those is a token and then
600
00:48:17,920 --> 00:48:28,220
you'll see where he put a uh um what the hell is that called a hyphen uh hyphen and then one and
601
00:48:28,220 --> 00:48:35,960
then he put a quote that that's a token you know and then he put an explanation of what it is
602
00:48:35,960 --> 00:48:40,360
so if you if you use
603
00:48:40,380 --> 00:48:47,900
that concept if we utilize that concept we say okay how many tokens can we create a day
604
00:48:47,900 --> 00:48:57,320
tokens from the data science world not the crypto world how many tokens a day can we create
605
00:48:57,320 --> 00:49:01,180
that is what you want
606
00:49:01,180 --> 00:49:08,960
that's where activity comes in that's where posting stuff comes in and what ahmed did
607
00:49:10,380 --> 00:49:17,840
look this tokens explained by ChatGPT he just jumped on ChatGPT and probably prompted something
608
00:49:17,840 --> 00:49:22,800
like what something to that effect and he got it he just copied and pasted it
609
00:49:22,800 --> 00:49:33,120
now this is the point where is that data resident the second he prompted that that's on open ai
610
00:49:33,120 --> 00:49:39,040
servers ahmed just gave open ai some synthetic data
611
00:49:40,380 --> 00:49:47,740
open ai is going to feed that right through of course they are but because copied and pasted it
612
00:49:48,540 --> 00:49:55,340
now it's on the high blockchain now it's part of Hive now it's part of the public database
613
00:49:56,460 --> 00:50:04,700
open ai doesn't own it it's public it's on Hive anybody can use it anybody can see it
614
00:50:06,300 --> 00:50:08,700
but not everybody is feeding it in
615
00:50:10,380 --> 00:50:15,180
this is not going to be indexed it's a thread but you know who's going to end up you know who's going
616
00:50:15,180 --> 00:50:20,220
to process it LeoAI because LeoAI processes every thread
617
00:50:23,640 --> 00:50:26,940
the learning engine takes each thread and feeds it in
618
00:50:34,320 --> 00:50:38,040
so basically you're looking at the creation of data
619
00:50:39,120 --> 00:50:40,260
but then the
620
00:50:40,380 --> 00:50:48,540
visualization of data and Hive from day one has created data you know Khal often talks about the
621
00:50:48,540 --> 00:50:56,280
seven day window that that's how we've operated for for the last eight years create data seven
622
00:50:56,280 --> 00:51:01,320
days later paid on it it's gone the article's gone the information's gone nobody gives a crap
623
00:51:03,480 --> 00:51:08,640
and yeah that's going to change with the evergreen rewards and all that other stuff but
624
00:51:09,400 --> 00:51:14,320
to me the true value is not in any of that the true value is in the data
625
00:51:19,080 --> 00:51:24,000
that is going to change the entire economy ai is going to change the entire economy
626
00:51:26,440 --> 00:51:37,000
and so if we want LEO to be 100 150 200 million dollars which I just told you ChatGPT or open ais
627
00:51:37,960 --> 00:51:45,480
valuation you're looking at a smidgen of open ai's valuation which by the way that's just this round
628
00:51:46,200 --> 00:51:52,840
my guess is next round because they will go for more funding I bet they're going to be 250 300
629
00:51:52,840 --> 00:52:03,240
billion when they go another year from now open ai will be a trillion dollar company in a few years
630
00:52:04,040 --> 00:52:05,240
and they're not the only ones
631
00:52:08,600 --> 00:52:12,680
all right is LEO going to be another open ai no it's not
632
00:52:15,960 --> 00:52:26,280
but if we understand the tokenomics could LEO in a year get 10 000 users of LeoAI yes yes they could
633
00:52:30,440 --> 00:52:32,920
because you can sell
634
00:52:33,240 --> 00:52:36,520
the ai services
635
00:52:37,640 --> 00:52:41,000
now you have a lot to offer
636
00:52:42,280 --> 00:52:47,560
and you can keep creating more ai services because the more people use it
637
00:52:47,560 --> 00:52:51,400
the more data is created the more data that's created
638
00:52:51,400 --> 00:52:55,560
essentially the more tokens you have the more tokens you feed into these
639
00:52:55,560 --> 00:53:00,520
models the more your models improve
640
00:53:03,240 --> 00:53:08,440
let me scroll down to before I get
641
00:53:08,440 --> 00:53:10,760
uh
642
00:53:16,600 --> 00:53:20,280
all right there's links uh
643
00:53:23,400 --> 00:53:28,760
ben wants his thank you note I'm a good infograph where did you find
644
00:53:28,760 --> 00:53:33,000
it I created it on ideogram yeah the the the feedback
645
00:53:33,000 --> 00:53:33,240
data
646
00:53:33,240 --> 00:53:36,440
feedback loop I created that on ideogram
647
00:53:36,440 --> 00:53:40,040
it's ai wouldn't it have been nice to be able to
648
00:53:40,040 --> 00:53:44,120
create to create that using LeoAI
649
00:53:44,360 --> 00:53:49,240
and maybe some point we'll have uh maybe we'll have image generation too
650
00:53:49,240 --> 00:53:52,920
see you can get into image generation you can get a video generation anything
651
00:53:52,920 --> 00:53:57,480
that comes out we could incorporate
652
00:54:00,360 --> 00:54:03,000
the community comments features on youtube isn't very
653
00:54:03,000 --> 00:54:05,960
good if their aim is to keep people on their platform they should do better
654
00:54:05,960 --> 00:54:10,200
they got a whole new thing that they just came out with ahmed
655
00:54:10,200 --> 00:54:15,320
more data morty's right people comfortable with social media
656
00:54:15,320 --> 00:54:17,320
will never leave it the blockchain has much
657
00:54:17,320 --> 00:54:22,200
to offer better service for them to switch and make their sector place yeah
658
00:54:22,200 --> 00:54:27,720
I answered the competitive edge voice we're like five lines ahead I don't know
659
00:54:27,720 --> 00:54:30,680
what that means ben
660
00:54:30,680 --> 00:54:32,840
I don't know what that means ben
661
00:54:33,640 --> 00:54:36,840
LEO is promised to have a lot of specialized feature that depends on
662
00:54:36,840 --> 00:54:40,840
real-time data from Hive compared to ChatGPT that does have real-time data
663
00:54:42,120 --> 00:54:48,360
it's an advantage well see um ahmed there's another thing that comes into play with LEO
664
00:54:48,360 --> 00:55:01,800
ai it's trained it its core is meta uh llama llama does the same thing in that it's updated
665
00:55:02,520 --> 00:55:02,920
because
666
00:55:03,000 --> 00:55:09,960
of whatever's fed onto the facebook instagram
667
00:55:09,960 --> 00:55:14,840
so I've gone to meta and asked it about the score of a baseball game from last
668
00:55:14,840 --> 00:55:19,240
night and it spit it out I asked it to give me a summary and it spit it out
669
00:55:19,240 --> 00:55:23,720
because obviously that was posted on one of its apps
670
00:55:23,720 --> 00:55:27,160
I go to Grok with the q not with the k I go to
671
00:55:27,160 --> 00:55:32,440
Grok and I ask that and it gives me the same thing as claude well back as of my
672
00:55:32,440 --> 00:55:37,800
last update in april 2024 and I'm sure open ai is the same thing
673
00:55:38,440 --> 00:55:44,840
that's the advantage of these platforms that have real-time data being fed in
674
00:55:44,840 --> 00:55:50,760
this is why I always talk about having news taking news articles taking news headlines
675
00:55:50,760 --> 00:55:56,680
taking news the first paragraph of a news article and posting it on LEO this is one
676
00:55:56,680 --> 00:56:02,200
of the reasons why I've talked about news to LEO 2.0 is one of the most important features
677
00:56:02,440 --> 00:56:12,200
to bring out simply because this could add a huge amount of data to the blockchain and what it is
678
00:56:12,200 --> 00:56:21,000
for those who don't know is news to threads 2.0 it's going to command prompt of some kind on the
679
00:56:21,000 --> 00:56:27,960
UI so you'll go into the thread box and you will you'll somehow issue a command
680
00:56:29,960 --> 00:56:31,640
and you'll put in a link to an article
681
00:56:32,440 --> 00:56:36,280
and it will take that link from that article and essentially create a thread store
682
00:56:38,520 --> 00:56:45,720
it'll summarize the article and create a thread storm for you so now that article
683
00:56:46,680 --> 00:56:52,920
if it was from sports illustrated if it was from espn if it was from the bbc if it was
684
00:56:54,840 --> 00:56:59,960
cnn sky news whatever it was the wall street journal cnbc
685
00:57:01,240 --> 00:57:02,120
all of a sudden that
686
00:57:02,920 --> 00:57:09,720
article will will end up being fed into LeoAI so if you've got a lot of information that article
687
00:57:10,280 --> 00:57:20,760
about the fed rate cut or about the latest epl game or whatever it's now a the news the information
688
00:57:20,760 --> 00:57:27,560
is right there on LEO but b it's also fed into LeoAI so if that was out somebody could ask about it
689
00:57:28,360 --> 00:57:30,520
but even though LeoAI is a little bit down the road
690
00:57:30,520 --> 00:57:41,980
And another point to this, that news on thread I think is important, I know immutability is not important to most people, but a record of history is.
691
00:57:41,980 --> 00:57:58,960
And we see a lot of push to try to rewrite history and change history and people going back and saying, well, we didn't say that, we didn't push that, we didn't say that that wasn't effective.
692
00:57:58,960 --> 00:58:13,440
Having that type of stuff on blockchain, then it's right there and it's like, this is exactly what was written. You can't go back and change that article and, you know, edit it and change what it was.
693
00:58:14,160 --> 00:58:28,440
And so now the public version is completely different than what was ever before. Because it's on blockchain. And yeah, you see the latest version, but guess what, when you go to the block explorer, you get the link, and you just keep linking back to the blocks that are tied together.
694
00:58:28,440 --> 00:58:29,900
And all of a sudden, you get the original article.
695
00:58:34,520 --> 00:58:38,960
Chat GPT can be used to create Hive-specific applications so it knows enough about Hive.
696
00:58:39,580 --> 00:58:41,000
LeoAI should be a lot better.
697
00:58:41,460 --> 00:58:41,680
Yeah.
698
00:58:46,040 --> 00:58:52,680
I remember reading that grass scraped the whole Reddit, so I don't think it would take much to scrape Hive.
699
00:58:52,680 --> 00:58:55,980
That's true, but most of the data, they may not want.
700
00:58:56,920 --> 00:58:57,820
They're not going to want.
701
00:58:58,300 --> 00:58:58,420
I think.
702
00:58:58,440 --> 00:58:59,120
They're not going to want to do things like upvote.
703
00:59:00,320 --> 00:59:01,160
They don't really care.
704
00:59:06,500 --> 00:59:12,200
As far as I know, LeoAI is not trained on images. Too expensive. Yeah, that's my understanding, too.
705
00:59:13,840 --> 00:59:19,740
It's my presumption. I've never heard one way or another, but I would imagine it's just.