Lion’s Den – August 30, 2024 [Full Episode w/ Subtitles & Transcript]

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Today is the 30th of August 2024 and we will start in a few minutes when everybody has a chance to log on.

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Thank you.

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Thank you.

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Thank you.

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All right, everybody, we will get started here.

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So it's not to be confused with Khal, be within a few minutes of our starting time, not 45 minutes or an hour like he likes to do.

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Anyway, hope everybody is well.

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We have a lot going on.

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A lot of different things taking place.

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Last week we had Vaultec on talking about VSC.

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That was an informative conversation.

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I hope you found it to be also.

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And today we'll get back to Leo.

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And this actually is a follow up.

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I think it was two weeks ago.

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Maybe it was three weeks ago.

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I don't remember exactly.

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But we did a lion's den on AI.

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LeoAI.

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And the reason why I wanted to do a follow up is I'm continually researching this subject.

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I'm continually talking to other people who are involved in it, continually looking at other things and just always stepping back and seeing what's going on.

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If you go into the technology blog, you see or the technology Threadcast, excuse me, you see videos posted that.

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That myself and primarily Mightpossibly watch, but there's some others.

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We also have articles that are related to technology.

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It's not exclusive to that, but there's also articles related to AI and some of the things going on there.

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And so it's really becoming a resource of what's taking place.

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Also.

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Okay.

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I recently started adding some of my conversations with Claude and Grok and things of that nature into there for a couple of reasons.

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The first reason is the basic premise of this call.

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But the second reason is, again, as an information source, as an educational source.

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And I find that this is a great use case for the daily thread.

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Cast that if you are doing a daily Threadcast about a specific topic, like this one with technology could do it with history, you could do it with there's one with news that shows up pretty much anything that falls into that category, make it a information source.

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I've mentioned this to the Brazilian community a number of times.

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Put anything related to Brazil.

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Brazil in their Brazilian news, Brazilian information, stuff that Brazilians would be interested in.

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That's the first level, the engagement, what we comment on, what we read, all of that.

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The second layer is one that I feel is more important, and this is the money printer.

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And I dropped in the Threadcast.

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About wanting $100,000,000 market cap, and that's a level Khal has thrown out there, I think it's a level that's completely attainable, and if we understand how all of this feeds in, we can understand what it takes to get there.

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The world of AI is exploding.

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Now, people talk about hype.

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People talk about bubbles.

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People talk about a lot of stuff.

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And maybe there's a degree of truth to it.

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When you talk bubbles, now you're talking finance, you're talking markets.

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They can get bubblicious.

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So I don't even engage in that conversation.

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Hype is related to technology.

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There could be hype.

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There's been a lot of hype cycles.

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I've been through a lot of hype cycles in 25 years.

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I've been through a lot of hype cycles in 25 years.

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In terms of watching technology and technological trends, I think I've mentioned on this broadcast that I've been through at least three hype cycles with virtual reality.

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And we're still really not much closer to a VR world than we were years ago.

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So they do happen.

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And maybe there is a degree of that with AI.

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But let's not mistake that.

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The underlying premise of what's taking place.

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There is radical advancement in technologies.

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You can see it looking at specifically generative AI because that's what most of us encounter.

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You look at image generators as an example.

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Look at how much they've improved in the last year, in the last six months.

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Hell, in the last three months.

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Look at video generators.

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Now, many of us haven't played with a lot of them.

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Mightpossibly has done a good bit of it.

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But there are some videos online about what things such as Sora are capable of doing now compared to where things stood a year ago.

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Very famous is Will Smith eating spaghetti.

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You look at the video a year, year and a half ago, whatever it was.

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He looked like Plastic Man.

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His face was all messed up and everything else.

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And the movement wasn't smooth.

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And it was just a train wreck.

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You look at what Sora presented.

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It was much improved.

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Still not perfect, but much improved.

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So this is what we're dealing with AI.

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And so what we have going on is we need to let's start with what is AI.

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And there's a lot of different definitions.

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Things people put up.

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But here it is in the most simplistic terms.

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AI is data wrapped in algorithms and fed through compute.

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That's AI.

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That's what comes out, AI.

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Now, depending on what your algorithms are training on, it could be images.

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It could be video.

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It could be the ability to drive a car.

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Ability to run a robot.

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A lot of different things.

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But it all comes back to that same premise.

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And so there's also a lot of variables that expand the capabilities.

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So, for example, algorithms.

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And writing better algorithms, which is being done.

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And so there's a growth curve just from the algorithms if everything else stayed constant.

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But everything else doesn't stay constant.

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We see the amount of compute that is being put in the field is growing.

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In fact, AI compute is doubling every six months.

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Keep in mind, Moore's law, which was a little different.

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It wasn't total compute.

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That was the transmitters per wafer.

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But basically, when you look at Moore's law, a simple way of looking at it is the cost per compute doubled about every two years.

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18 months, two years, something like that.

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Well, we have the amount of AI compute going in doubling every six months.

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So we have bigger amounts of compute.

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The other thing is data.

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More data, more compute means more AI output.

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That's a simple way of looking at it.

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Now, data also can be broken down into structured data, which is a lot easier.

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Labeled data, which is a lot easier to use, versus raw data.

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Well, they get a lot of time structured data and labeled data out of raw data.

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And what they do is the data scientists and data science, there's a thing called knowledge graphs.

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And basically, that's a way of linking this data together so that it's able to spit out information.

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And these are the three phases that we go to.

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And all of this is applicable to Leo, I promise you.

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When we go to the first phase, it's data.

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We'll just take raw data.

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You have raw data.

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That gets processed.

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It gets labeled.

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It gets structured.

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Maybe it is somewhat structured, let's say a table.

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Because keep in mind, all this has to be converted to data.

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It has to be converted to computer language, which computer language is binary code.

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It's ones and zeros.

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So even though coders use like Rush and Python and other things, that's not computer code.

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Computer code is binary.

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So the computer has to take this and convert it to binary code.

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So they do better with tables.

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Tables can structure better because they're kind of structured.

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And of course, there are a lot of numbers.

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And binary code works well with numbers, as we've seen over the last 60 years since that's where computers first and foremost started to penetrate.

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So you have the data.

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You have these knowledge graphs that are created out of this data, which brings us to information.

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And this is, as I explained on the previous call, this is where generative AI is a little bit different.

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People go to these chatbots and expect a mirror image.

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Or a mirror output of what they put in, like a search engine.

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That's not what this is doing.

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This is taking in data.

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It's being trained on data.

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And it spits out information.

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And it spits out information it thinks is applicable to what you want.

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Now, a lot of it, especially in the early stages, is a guessing game, hence where the hallucinations come in.

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And the system will just kind of make stuff up.

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You know, think of it as a politician.

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Politicians never say, I don't know, they just make crap up.

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Well, that's what the AI is doing.

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But as the compute gets bigger and as they're able to train on more data, the hallucinations decline over time.

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They don't necessarily go away, but they will decline over time.

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Now, the third thing in this, and this is very important, is the next step is knowledge.

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Now, you have data.

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You have information.

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You have knowledge.

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For knowledge, we require context.

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For example, 4% means nothing.

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That's data.

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Something's 4%.

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Well, what the hell does it apply to?

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It's just data, 4%.

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It could mean anything.

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The information is 4% APR, or even more specifically, 4% APR on a 10-year bond.

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That's information.

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No data allowed through an opponent.

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No bank account.

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No code.

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There's no information.

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There's only a little bit of information.

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But that's it.

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Knowledge is understanding what the hell that means.

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I wasn't even happy with just a little bit of Axial.

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…

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Knowledge is understanding what the hell that means.

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It means 4% as opposed to 10%, 6%, 1%, 0%.

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Knowledge means a context of 4% as opposed to 10%, 6%, 1%, half a percent, 0%.

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APR, or APY, on a bank?

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On a bond?

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Versus what? Treasury bonds versus corporate bonds versus stocks. What does it mean?

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This is context. And this is very important. And this is the challenge that we are at right now

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with LeoAI or with AI. So that said, what does all this have to do with Leo? What does this have

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to do with Leo and $100 million market cap? Well, the reason why I call this a money printer

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is it's very simple. More data with improving algorithms plus more compute equals better AI.

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Better AI has a greater value than not as great AI. Because once you take the better AI

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and you start to build and incorporate it,

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you end up with improvements in your platform. You end up with products that have increased

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value. It's really very simple. You see increased utility. Now, one of the things we have to keep

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in mind, I'll kind of tangent here a little bit into Web3.

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One of the factors of technology is demonetization. So for example, for those of you who remember

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before the smartphone, you go back, what did it take to add up numbers? You go way back, it was

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the old mechanical adding machines that CPA used. Then we got digital calculators. And they were big,

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they were expensive.

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They were like $100. You plugged them into the wall. Then in the 80s, you ended up with

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these little pocket solar calculators that cost like 20 bucks. Then they went down in

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price in the 90s. And you know, they were giving them away for free. If you, you know,

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did something at the shopping mall, they gave you a little pocket calculator or whatever.

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And now today, you have a smartphone, it has a calculator on it. It costs you nothing.

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These things used to cost 100 bucks to add up columns.

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Bruce Jentleson,ığın.com

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And, by the way, if you're doing an add up of a column online in like an Excel spreadsheet

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or something like that, an algorithm, you can put in an algorithm, it'll do all of that

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for you.

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So not only do you have the device being free by doing it in a spreadsheet, your time is

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safe. You don't even have to enter all these numbers, make a mistake. Try to figure out

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where did you reverse a number? Where did you put in the wrong number? It's creative, hardcore,

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Yeah.

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Bruce Jentleson,own.com

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wrong number all of that it's just here it is the demonetization so now if we

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have demonetization of stuff how does value grow how do you capture value in a

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world where revenues and profits disappear because of demonetization this

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is where I believe tokenization comes in because even though it's demonetized it

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it adds utility to whatever it's on and so anything that's added to Leo even if it is demonetized

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adds value to Leo and tokenization the idea of digital real estate in my opinion is what

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captures this so how do we drive up the value if we look past the engagement

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and I'm not saying that's not important I'm not saying that having people read what we

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write isn't important I'm not saying that having people watch the shorts isn't important people

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posting shorts isn't important all of that is I'm just dealing at the data level I'm dealing

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at the AI level I'm dealing at feeding this engine and so obviously the more data that we have in our

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blockchain on our blockchain

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the more

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valuable it becomes now it's not captured because it's permissionless

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but see I I notice uh Lucille mentioned X before and she how she's upset that every day she's

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locked out of her X account and has to reset it well what the hell you doing on X you know what

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you're doing on X you're feeding Elon every time you hit a vote every time you submit something

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you're feeding Elon

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now

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you're feeding Elon with this space why because he's the one who offers space and we don't have

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an alternative could go to YouTube kind of but that's feeding Google whatever

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you know we're feeding these big tech companies and obviously getting away from them I mean you

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know you can go with everything to our mobile carriers you can go to everything we do Google

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you go to a website Google's has

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it's bots all through the website anyway so even if it's not monitoring you it's monitoring the

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site which is seeing what you're doing so obviously there's a whole system eradicated uh of surveillance

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that they've set up but the point being is if we can start taking data and putting it on the

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blockchain that gets it away from big tech and if we can feed that data onto Hive and Leo

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the Leo team starts to write better algorithms and more compute

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you end up with an improving AI and an improving AI means more value because

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then you can start to do other things such as been mentioned in the past as

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co-pilots as build image generators you know you can feed all this stuff in ultimately video

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generators you can start potentially starting to build ai agents that do different things that are

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tied to LEO all of this becomes possible and it becomes part of a larger decentralized ecosystem

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some are calling a decentralized brain where ai and blockchain start to merge they converge

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and it multiplies at a much greater rate than the any individual centralized entity

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because don't forget when you go to a ChatGPT when you go to a Grok when you go to

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you know any of these chat bots claude they have their models

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they don't share those models nobody can add to those mouse you add the data you use it you

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engage the data into the data you use it you engage it

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with it you feed it more data more synthetic data but nobody adds to the

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models other than anthropic or Google or XAI or whoever that's not the same when

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you get into blockchain with blockchain a you have your data which is

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permissionless so any blockchain that's out there public blockchain any of the

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data is permissionless anybody can can scrape that data but also when you have

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AI models that are built on these blockchains there's the potentiality

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and I say the potentiality because some of them can be closed models LeoAI may

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be a close is probably going to be a closed model that's based upon an open

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LLM which I'll explain all that in a second but the point being is when you

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have these open models tied to blockchain

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other people can use them fork them build upon them add to them make them do

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different things build different agents tied to these models and then these

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agents can be connected together just like personal computers were connected

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together by the internet and all of that grew the value of this thing called

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computing

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how much is computing worth today in other words how much is the internet

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worth anybody guess because that's all it'll be thirty trillion fifty trillion

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hundred trillion who knows who has any idea about that so we've all heard the

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saying data is the new oil right so if you want a big oil well have a lot of

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data

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this is something very important and it's important because we need to secure

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a lot of data to make sure it's available to everyone this is what

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decentralization is all about folks so the question I always have it boils down

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to this do you want a future run by big tech who controls everything

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and the rest of us are only allocated based upon what the regular you say that

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Sam Altman and Mark Zuckerberg and all these other tech billionaires what they

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allow us to do or do you want this available to everybody and it all starts

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with the data and from Leo's perspective Leo's slice of the pie

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comes from the data we create notice how you have not seen Google X AI which

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owns Twitter or X well I guess actually X calm those acts but you get the point

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or meta so you see anthropic suit you see open a I sued by publishers you

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notice how those other social media and platforms

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not sued. Why? They keep generating their own data. Well, their users do. The users

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show up every day when Lucille goes to Twitter and does whatever she does. After

280
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she resets her account on Twitter, she is feeding X's database. When somebody goes

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to Instagram and puts up a photo, they are feeding Zuckerberg's database. They

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don't have to go out and scour the internet for data. They have it growing

283
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every day. In fact, other companies are trying to scrape their data. We heard of

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X locking down their data. Reddit locked down their data. Reddit now sells their

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data. Two AI companies.

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So, if we look at data as the new oil, why aren't we creating more oil? And

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that's exactly what I've been doing. I posted a tweet here not long ago that I

288
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talked about Web3. We are in the competition mindset. That's what we were

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reared in. That's what we dealt with. When you're in the virtual world, you're

290
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in the virtual world, when you're in the world of abundance, when you're in the

291
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world that isn't limited other than by bandwidth and compute, it's not to out

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compete others. It's out contribute. That's what open source is. Out

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contribute. That's what gets you recognized. And I've mentioned it before.

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I always mention them. Phish. I see Phish every day. Phish is in the technology

295
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blog Threadcast. He's dropping them. Phish is in when he's around. He's in the

296
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town. They're not on vacation in the Alps. By the way, I hope you had a great

297
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trip. He's in Threadcast. He's contributing. So, this is the big thing.

298
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He's contributing. And contribute the data. And so, one of the things that we've

299
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seen a lot of conversation about is the recent addition of

300
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. . .

301
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Shorts. Wonderful addition. Not even from this perspective, it's a wonderful

302
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addition from the utility standpoint. We know shorts is very popular. TikTok is an

303
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example of that. So, now we have shorts. Now, does shorts help the data? Questionable.

304
00:27:44,080 --> 00:27:49,980
Why is it questionable? Well, right now, as far as I understand, there's a lot of

305
00:27:49,980 --> 00:27:50,980
jatangles exist.

306
00:27:50,980 --> 00:27:51,980
So, that information could be valuable.

307
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I see about as much advertising for Rogers.

308
00:27:52,980 --> 00:27:53,980
I see a lot of advertising for Rogers.

309
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After all, bliruthing.

310
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One-for-all.

311
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But why?

312
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Because video is so tissue-rich.

313
00:27:57,980 --> 00:27:58,980
LeoAI is not multi-modal.

314
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It's text.

315
00:27:59,980 --> 00:28:00,980
It's only fed text.

316
00:28:00,980 --> 00:28:01,980
So, the video is not feeding LeoAI.

317
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I say right now, I presume this is a cost factor. brown-cast-s weave communion

318
00:28:05,800 --> 00:28:09,800
I say right now, I presume this is a cost factor.

319
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Video is very expensive in all capacities.

320
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mar 복 consorti

321
00:28:14,420 --> 00:28:15,980
but cost come down over time.

322
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So, I would not be surprised if, in a year.

323
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You want to be cheap?

324
00:28:18,400 --> 00:28:18,640
You want to be super mówi is super, super, super cheap.

325
00:28:18,640 --> 00:28:19,100
Yeah.

326
00:28:19,100 --> 00:28:28,160
maybe year and a half, where LeoAI is multimodal, where it is capable of being trained on all of

327
00:28:28,160 --> 00:28:37,420
what we've done, all these shorts. Wouldn't surprise me. In fact, there will be a certain

328
00:28:37,420 --> 00:28:42,520
point in time where that's the case, because the compute will get down low enough where we can

329
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afford to train it on the video we have. Whether it's a year, whether it's three years, I don't

330
00:28:49,020 --> 00:29:01,040
know. Now, what I've done is I've taken to having a script, and thank you, Mike, possibly, he put

331
00:29:01,040 --> 00:29:11,600
together a script for me, and I started this yesterday, where I take my shorts and I feed the

332
00:29:11,600 --> 00:29:12,480
video through.

333
00:29:12,520 --> 00:29:21,740
This script, and it gives a transcript. Now that's on the blockchain. The video's not, as we know,

334
00:29:21,800 --> 00:29:29,780
the video's off on IPFS, but now the transcript is on the blockchain. So what I said is actually

335
00:29:29,780 --> 00:29:38,320
there. And I've actually been, in some instances, contextualizing it by running it through Leo

336
00:29:38,320 --> 00:29:42,320
Linker. And then that...

337
00:29:42,520 --> 00:29:58,780
That links the words to the particular page. So now there is a direct path to the word technology or to the

338
00:29:58,780 --> 00:30:06,360
word artificial intelligence, words artificial intelligence, or whatever it is. Hive. It helps to

339
00:30:06,360 --> 00:30:10,180
contextualize just what I was saying before.

340
00:30:12,520 --> 00:30:18,580
I've also taken my chats, as I said, with Chat Claude and some of them, and posted them on

341
00:30:18,580 --> 00:30:26,240
chain. Yes, it's synthetic data, but it's synthetic data that's on Anthropic servers if I'm on

342
00:30:26,240 --> 00:30:35,040
Claude. Now, it's synthetic data that's on the blockchain. And I do this mostly in the Threadcast,

343
00:30:36,080 --> 00:30:41,840
because I just happen to do it with technology. But I did it in the Brazilian one. I did it... I

344
00:30:41,840 --> 00:30:42,320
forget.

345
00:30:42,320 --> 00:30:43,960
oh, I did it on the GDP of Brazil

346
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and what are the biggest businesses.

347
00:30:46,800 --> 00:30:48,920
I just did a couple of quick questions

348
00:30:48,920 --> 00:30:51,200
and pasted them in the Brazil Threadcast.

349
00:30:54,000 --> 00:30:55,080
There's the information.

350
00:30:55,680 --> 00:30:56,380
There's the data.

351
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That'll be feeding LeoAI.

352
00:30:59,740 --> 00:31:02,120
Now, a lot of that stuff's already out there.

353
00:31:03,940 --> 00:31:06,280
But see, again, we have to remember

354
00:31:06,280 --> 00:31:08,020
it's one thing about data.

355
00:31:08,940 --> 00:31:11,380
It's another thing to get to the point

356
00:31:11,380 --> 00:31:13,860
where we go from information to context.

357
00:31:14,780 --> 00:31:18,560
And context requires a wide variety of stuff.

358
00:31:19,300 --> 00:31:21,880
These models are learning the same way we learn.

359
00:31:22,640 --> 00:31:24,540
If you're just given a bit of information

360
00:31:24,540 --> 00:31:27,260
and you have no context to anything,

361
00:31:28,420 --> 00:31:32,620
let's say a word from, let's say, astrophysics.

362
00:31:34,000 --> 00:31:36,140
Well, if you don't know anything about astrophysics,

363
00:31:36,180 --> 00:31:36,820
which I don't,

364
00:31:37,400 --> 00:31:39,920
all of a sudden somebody throws out some dude's name

365
00:31:39,920 --> 00:31:41,360
or some theorem or something

366
00:31:41,360 --> 00:31:42,940
and it means nothing to us.

367
00:31:43,060 --> 00:31:44,020
We have no reference.

368
00:31:47,200 --> 00:31:47,600
Astro.

369
00:31:47,720 --> 00:31:49,320
Oh, that was the dog on the Jetsons.

370
00:31:49,420 --> 00:31:51,260
Okay, I know what you're talking about.

371
00:31:51,580 --> 00:31:52,920
I mean, that's my reference point.

372
00:31:54,820 --> 00:31:57,940
So without any reference points, we're lost.

373
00:31:58,340 --> 00:31:58,900
Well, guess what?

374
00:31:58,960 --> 00:31:59,540
So is the AI.

375
00:32:01,200 --> 00:32:04,360
And that's where not only do we want more data,

376
00:32:04,360 --> 00:32:07,900
but we want different types of data.

377
00:32:08,980 --> 00:32:11,040
And also, I've said this before in different languages.

378
00:32:11,360 --> 00:32:12,660
I've said this before in different languages.

379
00:32:12,700 --> 00:32:14,880
Because even if you take something in English

380
00:32:14,880 --> 00:32:19,140
and translate it to Spanish or Portuguese or Italian or French or whatever,

381
00:32:20,760 --> 00:32:23,180
there's nuances in each of these languages

382
00:32:23,180 --> 00:32:27,320
that Google Translate or whatever is used may not pick up.

383
00:32:28,320 --> 00:32:30,300
And so if somebody takes like my transcript,

384
00:32:30,460 --> 00:32:32,980
like Coyote Alation was taking my transcripts

385
00:32:32,980 --> 00:32:35,140
and translating them into Portuguese,

386
00:32:36,140 --> 00:32:39,220
he can skim through and see where it makes sense

387
00:32:39,220 --> 00:32:40,980
and where, okay, it's screwed up here.

388
00:32:40,980 --> 00:32:41,280
This.

389
00:32:41,480 --> 00:32:42,760
This is the proper work.

390
00:32:43,440 --> 00:32:45,300
Because even though technically that's correct,

391
00:32:45,380 --> 00:32:46,420
that's not how people speak.

392
00:32:46,760 --> 00:32:47,840
That's not how people read.

393
00:32:47,920 --> 00:32:49,180
That's not how the language goes.

394
00:32:50,600 --> 00:32:51,900
We see that all the time.

395
00:32:52,900 --> 00:32:55,160
You know, you say stuff in English.

396
00:32:55,580 --> 00:32:58,460
Hell, I won't understand it if you're using Shakespeare in English.

397
00:32:59,380 --> 00:33:00,580
What the hell are you talking about?

398
00:33:02,220 --> 00:33:04,020
I mean, it's not that the person's incorrect.

399
00:33:04,020 --> 00:33:05,240
They're speaking English.

400
00:33:05,740 --> 00:33:09,720
They're just speaking a form of English that hasn't been really used.

401
00:33:10,040 --> 00:33:10,280
Prevent.

402
00:33:11,360 --> 00:33:13,400
Primarily in the last 400 years.

403
00:33:16,980 --> 00:33:21,640
So that's one thing to keep in mind is all that we're doing

404
00:33:21,640 --> 00:33:25,460
is we're feeding context.

405
00:33:26,520 --> 00:33:30,320
And this is one of the reasons why I'm excited for News2Thread 2.0.

406
00:33:31,040 --> 00:33:32,040
One of the reasons.

407
00:33:32,840 --> 00:33:36,020
And what News2Thread 2.0 is, if anybody doesn't know,

408
00:33:36,020 --> 00:33:40,020
is that's basically going to be a command.

409
00:33:41,360 --> 00:33:42,180
On InLeo.

410
00:33:42,740 --> 00:33:49,320
That allows you to essentially create thread storms out of articles.

411
00:33:50,740 --> 00:33:52,600
Non-Leo articles.

412
00:33:53,740 --> 00:33:56,420
So you could go to ESPN.

413
00:33:56,760 --> 00:34:01,340
You could go to Sky Sports, Sky News, Al Jazeera.

414
00:34:01,340 --> 00:34:05,840
Your, you know, Medium, Substack, wherever.

415
00:34:06,140 --> 00:34:09,420
You could go to any website that has articles on it.

416
00:34:10,520 --> 00:34:11,340
And you...

417
00:34:11,360 --> 00:34:15,820
You could take these articles, prompt it, and it'll create a thread storm.

418
00:34:17,160 --> 00:34:18,700
Won't reproduce the article.

419
00:34:18,920 --> 00:34:21,620
It'll create a thread storm, then put a link back to the article.

420
00:34:22,300 --> 00:34:26,200
So it'll create three, four, five threads underneath the main thread,

421
00:34:26,960 --> 00:34:28,360
including the link to the article.

422
00:34:30,780 --> 00:34:34,640
But if people are submitting that about a wide range of topics,

423
00:34:34,640 --> 00:34:39,820
from Medium, from Substack, from HomeandGarden.com, or wherever,

424
00:34:40,740 --> 00:34:41,060
you know,

425
00:34:42,260 --> 00:34:44,120
Rollingstone Magazine, you name it.

426
00:34:44,120 --> 00:34:48,200
It's getting some of that information.

427
00:34:48,540 --> 00:34:50,800
Albeit it's short little threads.

428
00:34:52,300 --> 00:34:56,860
But it's getting that information into the database and LeoAI is training on it.

429
00:34:59,240 --> 00:35:04,400
So, think of that capability where not only can we share the news,

430
00:35:04,400 --> 00:35:08,060
not only can we share the information, it helps to feed into it.

431
00:35:08,060 --> 00:35:09,460
And all of this is in an overall notebook.

432
00:35:09,460 --> 00:35:10,360
And then a different board like that.

433
00:35:10,360 --> 00:35:10,860
And that's...

434
00:35:10,860 --> 00:35:19,480
All of this is part of a larger initiative, as I said before, the digital, the decentralized

435
00:35:19,480 --> 00:35:22,560
digital brain.

436
00:35:22,560 --> 00:35:27,540
We are taking and putting stuff in digital form, whether it's in video, whether it's

437
00:35:27,540 --> 00:35:33,460
in audio, whatever our thoughts are, we're putting them in digital form.

438
00:35:33,460 --> 00:35:40,260
The question is, who owns it?

439
00:35:40,260 --> 00:35:45,980
Now personally, I want Leo to have a piece of this pie.

440
00:35:45,980 --> 00:35:49,520
That's why the technology Threadcast, not all me.

441
00:35:49,520 --> 00:35:52,680
As I said, Godfish is there every day.

442
00:35:52,680 --> 00:35:58,380
Other people are in there, Mike Possibly is in there, Coyotilation goes in there, Lisa

443
00:35:58,380 --> 00:36:00,860
Genta goes in there.

444
00:36:00,860 --> 00:36:04,940
But last time I checked, we were at about 120 comments.

445
00:36:04,940 --> 00:36:07,500
Some of them are just links to articles.

446
00:36:07,500 --> 00:36:09,300
Okay, that's information.

447
00:36:09,300 --> 00:36:10,240
It's cool.

448
00:36:10,240 --> 00:36:19,020
That's for utility for users, but a lot of it's information, a lot of it's data.

449
00:36:19,020 --> 00:36:26,160
And as I said, some of it's from Claude.

450
00:36:26,160 --> 00:36:34,140
So this is the context that I operate from, and I hope other people start to operate from.

451
00:36:34,140 --> 00:36:39,760
And it's hard to see because we don't know what Khal's doing on the back end, but I did

452
00:36:39,760 --> 00:36:42,640
a short, which we'll end up posting later today.

453
00:36:42,640 --> 00:36:45,420
AI should be the focus of Leo.

454
00:36:45,420 --> 00:36:52,040
Now I say that, and I will readily admit, I don't know if it is or isn't.

455
00:36:52,040 --> 00:36:54,500
I don't know the training schedule.

456
00:36:54,500 --> 00:37:00,120
I don't know how long it takes them for them to train their model.

457
00:37:00,120 --> 00:37:01,880
I have no idea.

458
00:37:01,880 --> 00:37:06,880
So I cannot speak intelligently about that.

459
00:37:06,880 --> 00:37:07,640
So maybe they are rushing it out and putting it in.

460
00:37:07,640 --> 00:37:08,640
I don't know.

461
00:37:08,640 --> 00:37:09,640
I don't know.

462
00:37:09,640 --> 00:37:13,100
Maybe they're rushing it out as quickly as they can.

463
00:37:13,100 --> 00:37:15,880
They just have to wait for the training.

464
00:37:15,880 --> 00:37:16,880
I mean, that's the way it goes.

465
00:37:16,880 --> 00:37:18,760
You can't speed this stuff up.

466
00:37:18,760 --> 00:37:25,000
I mean, unless you just go get more compute, but that requires more money.

467
00:37:25,000 --> 00:37:31,660
So there's always a cost benefit factor there.

468
00:37:31,660 --> 00:37:39,400
So when we start to look at this and we start to look at the value of Leo, first off, I

469
00:37:39,400 --> 00:37:48,000
will tell you, in three years, at most, any platform that does not have AI interwoven

470
00:37:48,000 --> 00:37:52,460
through it is dead.

471
00:37:52,460 --> 00:38:01,840
They're not even going to be useful because it's going to be the norm.

472
00:38:01,840 --> 00:38:08,360
And the earlier you get in, the easier it is, the more you can do, the more advanced

473
00:38:08,360 --> 00:38:09,360
you are.

474
00:38:09,360 --> 00:38:14,460
The more data you provide, the better it is.

475
00:38:14,460 --> 00:38:21,700
And so as the value of Leo goes up, the ability to scale becomes greater.

476
00:38:21,700 --> 00:38:24,500
It becomes a self-feeding process.

477
00:38:24,500 --> 00:38:31,340
That's one of the reasons why I was so excited when Khal said, LeoAI will have a prompt where

478
00:38:31,340 --> 00:38:36,980
you can prompt, just like you do on ChatGPT or any of the others, because that creates

479
00:38:36,980 --> 00:38:38,600
more data, right?

480
00:38:38,600 --> 00:38:39,600
Within their ecosystem.

481
00:38:39,600 --> 00:38:47,200
And of course, we can take that and just paste that onto Leo so it's out there for everybody.

482
00:38:47,200 --> 00:38:50,880
But at least within Leo, we have this.

483
00:38:50,880 --> 00:38:54,680
And yes, it's synthetic data, and there's arguments between synthetic data and non-synthetic

484
00:38:54,680 --> 00:39:00,800
data where the synthetic data kind of diminishes in value over time each time you train through

485
00:39:00,800 --> 00:39:06,440
it, because you lose the real-world applicability.

486
00:39:06,440 --> 00:39:08,600
And nobody's really sure.

487
00:39:08,600 --> 00:39:09,720
If that's correct or not.

488
00:39:09,720 --> 00:39:12,920
But that's one of the theories out there, and there's a logic to it.

489
00:39:12,920 --> 00:39:17,600
So I'm not going to say that's untrue.

490
00:39:17,600 --> 00:39:22,220
But we also keep adding more real-world data.

491
00:39:22,220 --> 00:39:23,720
And that's the difference.

492
00:39:23,720 --> 00:39:27,400
Let me catch up on some of these questions, because there are some good ones earlier that

493
00:39:27,400 --> 00:39:29,600
I wanted to touch upon.

494
00:39:29,600 --> 00:39:35,320
Nifty, how do you think LeoAI could impact short content, if at all?

495
00:39:35,320 --> 00:39:36,600
I mentioned that shorts can actually affect short content.

496
00:39:36,600 --> 00:39:37,600
I think that's a good question.

497
00:39:37,600 --> 00:39:38,600
I think that's a good question.

498
00:39:38,600 --> 00:39:43,360
It could affect LeoAI over time when we go multimodal.

499
00:39:43,360 --> 00:39:51,100
The other way AI could affect shorts is if there is the capability to have every short

500
00:39:51,100 --> 00:39:55,460
that goes in have a transcript, just like YouTube does.

501
00:39:55,460 --> 00:39:56,840
Have a transcript.

502
00:39:56,840 --> 00:40:01,520
See, a lot of companies have scraped YouTube, although they don't admit it, because Google

503
00:40:01,520 --> 00:40:04,120
will sue the shit out of them.

504
00:40:04,120 --> 00:40:07,400
And they didn't scrape YouTube for the videos, because they don't have the money for that.

505
00:40:07,400 --> 00:40:08,400
They went and grabbed the transcript.

506
00:40:08,400 --> 00:40:11,240
Think of that.

507
00:40:11,240 --> 00:40:19,880
So this is a way that LeoAI could impact shorts.

508
00:40:19,880 --> 00:40:25,940
The other way that I envision in the future is video generator, where at some point in

509
00:40:25,940 --> 00:40:35,780
time it will be cost-effective enough to have an image generator on Leo, where you can create

510
00:40:35,780 --> 00:40:37,400
a 30-second AI video.

511
00:40:38,400 --> 00:40:41,360
It's not here now.

512
00:40:41,360 --> 00:40:47,520
In fact, that's mostly what you get for free on these larger video generation sites, which

513
00:40:47,520 --> 00:40:51,060
they've spent who knows how many billions getting to that point.

514
00:40:51,060 --> 00:40:54,740
And for free, they'll give you a 30-second video.

515
00:40:54,740 --> 00:40:56,900
You want like three minutes or five minutes.

516
00:40:56,900 --> 00:41:00,120
You got to pay them whatever dollars a month.

517
00:41:00,120 --> 00:41:05,960
But again, just like we've seen with all these others, over time that comes down.

518
00:41:05,960 --> 00:41:07,240
So maybe two years.

519
00:41:07,240 --> 00:41:08,240
Or maybe two years.

520
00:41:08,240 --> 00:41:13,200
Or maybe a year from now on those same platforms, you'll get a three-minute video for free.

521
00:41:13,200 --> 00:41:16,480
And you'll be able to do a 15-minute video for whatever the monthly fee is.

522
00:41:16,480 --> 00:41:20,860
Well, at some point in time, there's going to be open-source stuff that can be incorporated

523
00:41:20,860 --> 00:41:26,260
into LeoAI that, OK, maybe you can't create a 15-minute video, but you can create something

524
00:41:26,260 --> 00:41:28,620
for 30 seconds.

525
00:41:28,620 --> 00:41:33,820
So that's the second way that I see.

526
00:41:33,820 --> 00:41:36,200
The third way affecting shorts in particular?

527
00:41:36,200 --> 00:41:37,200
I don't know.

528
00:41:37,200 --> 00:41:38,200
I don't know.

529
00:41:38,200 --> 00:41:49,860
If it has the transcripts, it'll affect shorts in the ability to search, to find, and also

530
00:41:49,860 --> 00:41:51,960
feed in for the generation.

531
00:41:51,960 --> 00:41:57,960
So I think all of that will be helpful.

532
00:41:57,960 --> 00:42:04,800
Because don't forget, LeoAI will index every threat.

533
00:42:04,800 --> 00:42:08,200
And that's another thing compared to the external world.

534
00:42:08,200 --> 00:42:12,960
The external world is not indexing threats for the most part.

535
00:42:12,960 --> 00:42:14,780
LeoAI is.

536
00:42:14,780 --> 00:42:20,700
So if you have a short, and it has its own URL, which that's what Khal said will be out

537
00:42:20,700 --> 00:42:21,960
in the next day or so.

538
00:42:21,960 --> 00:42:23,440
And he said that yesterday.

539
00:42:23,440 --> 00:42:24,440
So it may be out.

540
00:42:24,440 --> 00:42:26,240
I haven't looked.

541
00:42:26,240 --> 00:42:30,960
That's going to be very important for LeoAI, because it'll be able to reference it.

542
00:42:30,960 --> 00:42:34,860
It'll be able to direct people to that.

543
00:42:34,860 --> 00:42:37,200
So that's how I see it.

544
00:42:37,200 --> 00:42:38,200
Tokenized.

545
00:42:38,200 --> 00:42:42,820
Using normal AI agents to ask stuff about Hive is not very good, because it gets confused

546
00:42:42,820 --> 00:42:46,740
with other blockchain company called Hive.

547
00:42:46,740 --> 00:42:49,020
LeoAI should be a lot more accurate in that sense.

548
00:42:49,020 --> 00:42:52,700
It'll be trained with more directed data.

549
00:42:52,700 --> 00:43:02,260
Yes, that is true based AI.

550
00:43:02,260 --> 00:43:05,800
They got an image generator, which isn't very good, and they got a chatbot.

551
00:43:05,800 --> 00:43:06,800
Yeah.

552
00:43:06,800 --> 00:43:11,580
And I asked them about Hive Blockchain.

553
00:43:11,580 --> 00:43:16,220
And they were right on about not the Hive Blockchain LTD.

554
00:43:16,220 --> 00:43:22,580
They came back exactly what Hive is, a fork of steam, decentralized, blah, blah, blah.

555
00:43:22,580 --> 00:43:23,580
Why?

556
00:43:23,580 --> 00:43:27,380
This was trained on blockchain data.

557
00:43:27,380 --> 00:43:29,040
So they grabbed it directly.

558
00:43:29,040 --> 00:43:32,840
I can guarantee you they grabbed it directly from Hive or steam.

559
00:43:32,840 --> 00:43:36,420
Well, probably Hive because steam didn't really touch.

560
00:43:36,420 --> 00:43:41,720
So they grabbed it right from our blockchain, because they trained it on all blockchain,

561
00:43:41,720 --> 00:43:43,960
I presume all blockchain data.

562
00:43:43,960 --> 00:43:45,520
And it was spot on.

563
00:43:45,520 --> 00:43:52,320
It gave me an itemized list of it, decentralized, proof of stake, witness, blah, blah, blah.

564
00:43:52,320 --> 00:43:57,980
Now to explain how this works and the updates, and I think there was a question about the

565
00:43:57,980 --> 00:44:00,320
update.

566
00:44:00,320 --> 00:44:05,200
If I'm correct, LeoAI is being trained on Claude 3.0.

567
00:44:05,200 --> 00:44:06,200
Not Claude.

568
00:44:06,200 --> 00:44:08,480
Excuse me, Lama 3.1.

569
00:44:08,480 --> 00:44:10,960
Lama 3.1 is meta.

570
00:44:10,960 --> 00:44:15,380
Lama 3.1 updates immediately.

571
00:44:15,380 --> 00:44:22,120
It's continually updated on metadata.

572
00:44:22,120 --> 00:44:29,380
It's not updated immediately on internet data.

573
00:44:29,380 --> 00:44:35,100
That's why when you go to a Claude, when you go to some of these others and you ask a question,

574
00:44:35,100 --> 00:44:36,100
okay.

575
00:44:36,100 --> 00:44:43,380
They'll say, as of the last time I was updated, or as of the last update I got in April of

576
00:44:43,380 --> 00:44:52,040
2024, their training, they only go through, they only update when it's updated.

577
00:44:52,040 --> 00:44:55,180
They don't have real time data.

578
00:44:55,180 --> 00:44:59,860
Meta does off Meta's platform.

579
00:44:59,860 --> 00:45:04,380
An update to Wikipedia is not going to be in Meta 3.1.

580
00:45:04,380 --> 00:45:05,420
Okay.

581
00:45:05,420 --> 00:45:11,520
It'll be in Meta 3.0, but Meta 3.1, it won't update.

582
00:45:11,520 --> 00:45:17,200
Now if you want the score of last night's baseball game between team A and team B, if

583
00:45:17,200 --> 00:45:26,740
it was posted somewhere on one of the Meta apps, which likely was, it's in there.

584
00:45:26,740 --> 00:45:32,900
So you could say, what's the score between team A and team B, and it'll give it to you.

585
00:45:32,900 --> 00:45:34,740
That's on the large language model side.

586
00:45:34,740 --> 00:45:41,940
On LeoAI side, every single thread instantly updates.

587
00:45:41,940 --> 00:45:47,800
And when I say instantly, it may be 30 seconds or whatever, but the information is in there.

588
00:45:47,800 --> 00:45:56,000
So if LeoAI was live and we were able to use it, you would be able to ask it, what

589
00:45:56,000 --> 00:46:02,540
was the score of last night's ball game, even if it did not appear on Facebook, if tokenized

590
00:46:02,540 --> 00:46:03,740
society put it on in a thread.

591
00:46:03,740 --> 00:46:04,740
Okay.

592
00:46:04,740 --> 00:46:09,620
It's already there.

593
00:46:09,620 --> 00:46:16,740
And yes, Leo stuff, stuff about Leo power, stuff about delegated proof of staff, stuff

594
00:46:16,740 --> 00:46:29,940
about a lot of that stuff may not be in Meta, but it's InLeo because we train on it.

595
00:46:29,940 --> 00:46:33,940
Lucio, we talked about her being fed up.

596
00:46:33,940 --> 00:46:34,540
Okay.

597
00:46:34,540 --> 00:46:35,540
Let's see what Morty has to say.

598
00:46:35,540 --> 00:46:36,540
I got to clear my screen here.

599
00:46:36,540 --> 00:46:37,540
Okay.

600
00:46:37,540 --> 00:46:51,960
Morty, also known as Liquid Eye, will InLeo AI, it's actually LeoAI, output be in any

601
00:46:51,960 --> 00:46:58,620
way or form restricted and can it be used for all sorts of NSFW violence, political

602
00:46:58,620 --> 00:47:01,540
and racist stuff like Grok?

603
00:47:01,540 --> 00:47:04,540
Well, it's trained up.

604
00:47:04,540 --> 00:47:13,180
So that stuff is restricted on Meta, I presume.

605
00:47:13,180 --> 00:47:18,240
I guess Meta is restricting stuff.

606
00:47:18,240 --> 00:47:28,360
On Leo, I don't know what the parameters are that they're setting when they write the algorithm.

607
00:47:28,360 --> 00:47:32,540
So that's going to be, A, dependent on that.

608
00:47:32,540 --> 00:47:33,540
B, it's also dependent on what they're doing.

609
00:47:33,540 --> 00:47:34,540
Okay.

610
00:47:34,540 --> 00:47:39,180
So it's going to be dependent on what is on Leo, well, on the high blockchain.

611
00:47:39,180 --> 00:47:51,320
So if there is that type of stuff on the high blockchain, then that might be fed into Leo

612
00:47:51,320 --> 00:47:53,000
AI.

613
00:47:53,000 --> 00:47:59,080
If it's not the high blockchain, which there's not a ton of it, there might be some NSFW

614
00:47:59,080 --> 00:48:01,140
stuff, but not even a lot of that.

615
00:48:01,140 --> 00:48:03,180
And don't forget, NSFW.

616
00:48:03,180 --> 00:48:04,180
Okay.

617
00:48:04,180 --> 00:48:05,100
It's a deal in picture.

618
00:48:05,100 --> 00:48:09,660
So if somebody puts up a nudie pic, that's not seen.

619
00:48:09,660 --> 00:48:10,940
That's not even on the blockchain.

620
00:48:10,940 --> 00:48:12,840
That's in the image server.

621
00:48:12,840 --> 00:48:20,400
So it'd have to be, I don't know, some type of erotic story or something.

622
00:48:20,400 --> 00:48:21,840
And maybe there's a few of them.

623
00:48:21,840 --> 00:48:29,900
Maybe there's a few erotic fiction writers who wrote on Peak D or something.

624
00:48:29,900 --> 00:48:31,360
That's about it.

625
00:48:31,360 --> 00:48:32,640
So the answer to the question is, I don't know exactly.

626
00:48:32,640 --> 00:48:33,640
I don't know exactly.

627
00:48:33,640 --> 00:48:37,500
I don't know exactly on the LeoAI end.

628
00:48:37,500 --> 00:48:38,620
There is the restriction.

629
00:48:38,620 --> 00:48:44,280
Whatever meta restricts, that's going to be restricted on Leo.

630
00:48:44,280 --> 00:48:47,080
You just can't get around.

631
00:48:47,080 --> 00:48:49,420
Winanda has experienced the same thing on X.

632
00:48:49,420 --> 00:48:57,000
So stay the hell off X, unless you're doing a spaces or just dropping links.

633
00:48:57,000 --> 00:48:58,180
I am the first one in.

634
00:48:58,180 --> 00:48:59,560
Hopefully, you answered the Threadcast.

635
00:48:59,560 --> 00:49:00,560
Do you start doing thread casts?

636
00:49:00,560 --> 00:49:01,560
Yes.

637
00:49:01,560 --> 00:49:02,560
Yeah.

638
00:49:02,560 --> 00:49:03,560
There you go.

639
00:49:03,560 --> 00:49:09,560
to see how this ties into the 100 million dollar market cap and how we have control of steering it

640
00:49:10,920 --> 00:49:17,560
lucille is Ecency down I no longer get noticed from there again uh okay that brings up what I

641
00:49:17,560 --> 00:49:23,400
wanted to mention we we've talked about the numbers and I threw out numbers earlier in

642
00:49:23,400 --> 00:49:30,520
the week I went in containers account eric threw out the latest numbers that he pulled through

643
00:49:30,520 --> 00:49:37,720
Hive sql and they were different they were dramatically lower in the container if you

644
00:49:37,720 --> 00:49:47,320
respond to something through Ecency or through peak d it's not InLeo so it doesn't count towards

645
00:49:47,320 --> 00:49:53,800
LEO numbers monthly weekly or any of it and it also doesn't count towards rewards so if you get

646
00:49:53,800 --> 00:50:00,120
an upvote your LEO is not paid out your Hive will be any Hive associated with now

647
00:50:00,520 --> 00:50:04,120
or any other token associated with count but LEO is not paid out

648
00:50:06,760 --> 00:50:11,720
and so you're doing yourself and the platform a disservice

649
00:50:12,760 --> 00:50:19,560
if you're if you're operating through Ecency and not through LEO if you can avoid it

650
00:50:19,560 --> 00:50:24,280
now obviously there's times that LEO's down there's times and this is one of the reasons

651
00:50:24,280 --> 00:50:30,120
why I I know at times if somebody replies to me out of Ecency and I'll click on it

652
00:50:30,760 --> 00:50:34,680
it gives me an error message I can't reply to I can't on the threat

653
00:50:37,400 --> 00:50:39,800
or the reply and I certainly can't vote on

654
00:50:42,160 --> 00:50:49,160
because it's it's uh it's or not through through uh insency and he since he's trying

655
00:50:49,160 --> 00:50:55,080
to to tap into the container but they're not I mean they can write to it but it's not very effective

656
00:50:56,360 --> 00:50:59,800
ai is simply data okay well it's not just data ai

657
00:51:00,520 --> 00:51:10,000
data wrapped in algorithms and then put through GPUs fish doesn't like raw daddy

658
00:51:10,000 --> 00:51:20,320
prefers a medium-rare here is spirit I don't know what Bradley arrow is talking

659
00:51:20,320 --> 00:51:29,500
about usually terrible AI is African intelligence yes he that brings up a

660
00:51:29,500 --> 00:51:35,700
good point and when we look at it and this ties to Morty but Morty said before

661
00:51:35,700 --> 00:51:40,420
him and bias I'm talking bias like racial bias or stuff like that I'm

662
00:51:40,420 --> 00:51:45,640
talking bias that the some of these systems have and I've mentioned this in

663
00:51:45,640 --> 00:51:52,300
the past where there there is an inherent bias with the internet

664
00:51:52,300 --> 00:51:57,640
why most the Internet's in English so that's number one number two it's

665
00:51:57,640 --> 00:51:59,220
there's a bias towards

666
00:51:59,220 --> 00:51:59,500
a

667
00:51:59,500 --> 00:52:06,620
west because that's where most of the stuff comes from when you start to look at most of your major

668
00:52:06,620 --> 00:52:11,900
publications and things of that nature that's where it is you look at your major social media

669
00:52:11,900 --> 00:52:18,780
platforms guess where they're from the west obviously one of the biggest countries in the

670
00:52:18,780 --> 00:52:23,260
world the second largest by population and one of the most one of the more technically advanced

671
00:52:23,260 --> 00:52:31,420
countries china they they cut down their own internet they they cut themselves off so a lot

672
00:52:31,420 --> 00:52:38,300
of their stuff isn't even feeding into these models because of facebook as an example they

673
00:52:38,300 --> 00:52:43,660
got kicked out of china so they they can get the data out of china china is very restricted about

674
00:52:43,660 --> 00:52:53,180
it so what what kala marvel said there I think is very important is you want a lot of stuff posted

675
00:52:53,260 --> 00:53:02,540
on these blockchains about africa about southeast asia in african languages in asian languages

676
00:53:02,540 --> 00:53:07,980
in south american languages about south america about Brazil about ecuador about argentina about

677
00:53:07,980 --> 00:53:16,220
congo about libya about Nigeria you want this stuff it's very important that the people in

678
00:53:16,220 --> 00:53:23,180
these areas post news and information post their viewpoints on this politician or that

679
00:53:23,260 --> 00:53:30,060
this event or whatever happened and get as much of that onto the blockchain as possible

680
00:53:31,020 --> 00:53:38,540
because that'll be fed into LeoAI that'll be fed into what we're dealing with

681
00:53:40,140 --> 00:53:45,340
and again a lot of that stuff's on facebook because I presume there's a large contingency

682
00:53:45,340 --> 00:53:51,740
of facebook users who are from africa and same thing on x but again they'll lock down

683
00:53:51,740 --> 00:54:00,140
so if you are posting news post news from Nigeria if you're from Nigeria libya and the more local it

684
00:54:00,140 --> 00:54:07,660
is the better because I can go find news from my Nigeria there's some if I do a search I'll

685
00:54:07,660 --> 00:54:14,380
come up with some of the major news sources in Nigeria but what about a nigerian news

686
00:54:14,380 --> 00:54:20,380
source from your local town or your local region I might not find that

687
00:54:21,740 --> 00:54:26,700
but if you know about it and you post news about your local region that'll get in there

688
00:54:27,420 --> 00:54:35,100
that'll help to the ai to understand about your region then if you start putting facts about your

689
00:54:35,100 --> 00:54:40,140
region or there are facts out there about your region such as the population such the education

690
00:54:40,140 --> 00:54:44,940
levels then you start talking about a school closing down or a school opening or a school

691
00:54:44,940 --> 00:54:50,220
this or or this politics or an indictment or a crime or whatever

692
00:54:51,740 --> 00:54:55,500
all of that feeds in and that goes back to what I was saying about the context

693
00:54:56,300 --> 00:54:59,580
now all of a sudden LeoAI has a little bit of understanding

694
00:55:02,140 --> 00:55:05,980
fish I indeed had a great trip I've already started covering this in the long post first

695
00:55:05,980 --> 00:55:11,900
one was quite successful earning 45 dollars bill eight to the party but here I am

696
00:55:13,100 --> 00:55:16,540
only seven people listening yeah we get that sometimes

697
00:55:18,540 --> 00:55:20,940
I've been on appointment with the therapist what did I miss

698
00:55:22,060 --> 00:55:27,900
well ahmed why don't you post uh a transcript of your appointment uh on the blockchain so we can

699
00:55:27,900 --> 00:55:35,020
all give you our our feedback feed the ai according to marty morty yes absolutely

700
00:55:37,580 --> 00:55:43,020
in three years yeah it I said in three years any platform doesn't have ai interwoven into it is dead

701
00:55:43,020 --> 00:55:47,740
ball claim to make but I don't think it's wrong no actually uh ahmed I don't think it's bolt

702
00:55:47,740 --> 00:55:51,500
at the pace things are going it's not bold this is why I keep

703
00:55:51,500 --> 00:55:56,060
harping on it in my last year of what of looking at this I only started looking at this

704
00:55:57,020 --> 00:56:01,100
moderately a year ago I'm fully immersed in watching this now

705
00:56:01,820 --> 00:56:08,540
because in the last year it's advanced so rapidly it's it's just absolutely mind-blowing

706
00:56:12,380 --> 00:56:13,580
that's the pace of it

707
00:56:17,260 --> 00:56:21,340
uh so later you won't know who's real and who's not anymore unless you know the

708
00:56:21,500 --> 00:56:29,980
person in real life uh that that's by liquid eye morty uh yeah there there is that although

709
00:56:29,980 --> 00:56:38,620
there is legislation that is saying um that sooner or later um you have to have

710
00:56:40,380 --> 00:56:46,380
the ai will have to have kind of a watermark but this brings up a a bigger point now kind

711
00:56:46,380 --> 00:56:51,100
of tangent a little bit and this feeds into something else that I talked to Mightpossibly and

712
00:56:51,100 --> 00:56:55,260
else about and I've talked about media company and stuff like this and I've written about

713
00:56:55,260 --> 00:57:00,240
why hollywood's dead and whatnot but but here's to morty's point who cares

714
00:57:00,240 --> 00:57:08,520
let's take an actor give me a well-known actor it's denzel washington is that washington real

715
00:57:08,520 --> 00:57:15,120
if you haven't met denzel washington which I never have

716
00:57:15,120 --> 00:57:19,880
to me denzel washington exists in the two-dimensional realm

717
00:57:19,880 --> 00:57:25,880
I've never seen denzel washington anywhere other than two-dimensional I've seen pictures

718
00:57:25,880 --> 00:57:30,840
of denzel washington I've seen him in movies I've seen interviews but I've never seen

719
00:57:30,840 --> 00:57:35,900
denzel in real life I've never seen denzel as a three-dimensional

720
00:57:35,900 --> 00:57:43,820
figure I've only seen him on the screen now of course we know denzel washington is a real person

721
00:57:43,820 --> 00:57:48,980
but what about wenzel doshington

722
00:57:49,880 --> 00:57:57,480
wenzel doshington is a well-known actor but well wenzel doshington is just ai

723
00:57:57,480 --> 00:58:03,600
and wenzel doshington's made some of the best films in the last 20 years

724
00:58:03,600 --> 00:58:09,040
let's say we're in 2040 saying this what's the difference

725
00:58:09,040 --> 00:58:17,720
so this is a point where

726
00:58:19,880 --> 00:58:26,600
we are going to see the virtual world expand

727
00:58:26,600 --> 00:58:34,220
like like if you go into the technology Threadcast I I posted threads about what is the

728
00:58:34,220 --> 00:58:39,100
benefit of ai and what are the dangers of ai

729
00:58:39,100 --> 00:58:46,480
you read that you get the information you are consuming information that I posted online

730
00:58:46,480 --> 00:58:49,480
now I didn't write it I write there specifically

731
00:58:49,480 --> 00:58:53,520
specifically say this came from Gronk, the Q, not with a K.

732
00:58:55,800 --> 00:58:56,660
Does it matter?

733
00:58:57,020 --> 00:58:59,460
Is the information any less pertinent to you?

734
00:59:01,060 --> 00:59:02,340
No, it isn't.

735
00:59:03,340 --> 00:59:04,780
It wasn't written by a human.

736
00:59:06,720 --> 00:59:09,120
But the information I read through it, it's valid.

737
00:59:09,540 --> 00:59:11,320
It brings up the legitimate points.

738
00:59:13,260 --> 00:59:14,220
It's educational.

739
00:59:14,400 --> 00:59:14,900
It's informative.

740
00:59:14,900 --> 00:59:23,600
So now you've seen me post and other people post AI images.

741
00:59:24,080 --> 00:59:29,680
When you see an AI image of a sunset over an ocean taken from a condominium,

742
00:59:30,200 --> 00:59:33,920
from the viewpoint of a condominium, and you get that image,

743
00:59:34,040 --> 00:59:38,500
like that was what I prompted yesterday and I posted from Ideogram,

744
00:59:39,300 --> 00:59:40,780
you look at that image.

745
00:59:41,280 --> 00:59:43,560
Does it matter that somebody didn't take that image?

746
00:59:44,900 --> 00:59:52,980
You can look at it, looks good, looks impressive, it's nice.

747
00:59:55,980 --> 00:59:58,220
To say, well, it doesn't exist, no, it doesn't.

748
01:00:00,900 --> 01:00:03,220
But an ocean is an ocean.

749
01:00:06,260 --> 01:00:08,820
Now, for some things, okay, it's not as good as the authentic.

750
01:00:08,820 --> 01:00:13,660
But for most purposes, if you use that in an article, which you could,

751
01:00:14,900 --> 01:00:20,300
I mean, let's say when Phish was coming back,

752
01:00:20,360 --> 01:00:29,780
let's say I had done a project on a picture for a picture of the Swiss Alps.

753
01:00:30,040 --> 01:00:31,240
And I submitted that.

754
01:00:31,980 --> 01:00:33,080
And I posted on Threads.

755
01:00:33,260 --> 01:00:36,080
And somehow Phish found it.

756
01:00:36,400 --> 01:00:37,400
He said, that's a nice picture.

757
01:00:37,640 --> 01:00:38,580
Looks like the Swiss Alps.

758
01:00:38,820 --> 01:00:40,020
I was just there, looks like it.

759
01:00:40,580 --> 01:00:42,920
And he took and put that in his article.

760
01:00:44,900 --> 01:00:48,080
Does it matter that it wasn't a picture taken by him?

761
01:00:48,280 --> 01:00:51,020
No, he doesn't claim it was a picture taken by him.

762
01:00:51,120 --> 01:00:52,440
I'm making that assertion.

763
01:00:52,480 --> 01:00:53,980
He's just putting an image in his article.

764
01:00:54,880 --> 01:00:57,440
Or he just takes the thread and puts the thread in the article.

765
01:00:57,500 --> 01:00:57,940
Even better.

766
01:00:58,320 --> 01:00:58,960
There's the thread.

767
01:00:59,360 --> 01:01:02,840
Has a picture of the Swiss Alps, which in the thread says it was AI generated.

768
01:01:04,780 --> 01:01:05,400
So what?

769
01:01:07,320 --> 01:01:10,140
Does it make his article any less pertinent?

770
01:01:10,320 --> 01:01:10,520
No.

771
01:01:12,280 --> 01:01:14,320
So this is some of the changes

772
01:01:14,320 --> 01:01:14,460
that we might have to make.

773
01:01:14,460 --> 01:01:14,520
So this is some of the changes that we might have to make.

774
01:01:14,520 --> 01:01:14,580
So this is some of the changes that we might have to make.

775
01:01:14,580 --> 01:01:17,260
So this is some of the changes that we might be looking at.

776
01:01:20,680 --> 01:01:22,760
Indexing threads is a very useful feature,

777
01:01:22,900 --> 01:01:26,200
especially if LeoAI was able to link three posts we asked about.

778
01:01:27,120 --> 01:01:29,760
I don't know, Ahmed,

779
01:01:30,240 --> 01:01:32,280
it should.

780
01:01:33,440 --> 01:01:34,420
I don't know.

781
01:01:34,560 --> 01:01:36,860
Certain AIs will reference you back to

782
01:01:36,860 --> 01:01:39,980
and give you a link back to where the information comes from.

783
01:01:40,060 --> 01:01:40,880
Some do not.

784
01:01:41,180 --> 01:01:44,140
I have a feeling LeoAI will reference me.

785
01:01:44,140 --> 01:01:44,560
I have a feeling LeoAI will reference me.

786
01:01:44,560 --> 01:01:45,280
I don't know if he will address me.

787
01:01:45,280 --> 01:01:45,320
I don't know if he will address me.

788
01:01:45,320 --> 01:01:45,380
I don't know if he will address me.

789
01:01:45,380 --> 01:01:45,780
I don't know if he will address me.

790
01:01:45,780 --> 01:01:45,840
I don't know if he will address me.

791
01:01:45,840 --> 01:01:48,980
Of course, he could always start by saying it.

792
01:01:49,000 --> 01:01:50,280
What posts?

793
01:01:51,740 --> 01:01:58,680
Tell me about Resource Credits and link me to any post you use.

794
01:02:00,560 --> 01:02:07,180
I thought ball games and threads should be made in SFW.

795
01:02:07,740 --> 01:02:09,280
What games are you talking about?

796
01:02:10,260 --> 01:02:12,240
Well, there are those games.

797
01:02:15,200 --> 01:02:21,680
fish has maybe been spending too much time going through some different tubes

798
01:02:24,480 --> 01:02:28,160
there will come a time where ai will prompt us without even realizing it well

799
01:02:28,720 --> 01:02:35,360
there's another thing morty it's getting very interesting google uh deep mind did a uh released

800
01:02:35,360 --> 01:02:41,680
for and a presentation yesterday where they took a video game from the 1990s and people are playing

801
01:02:41,680 --> 01:02:47,520
it but the the ai was generating the video game as they were going along it was based upon

802
01:02:48,160 --> 01:02:54,240
um you know which direction you moved and and things like that and the next sequence of events

803
01:02:55,120 --> 01:03:00,560
were being generated as as the person was playing it so yeah you're starting

804
01:03:00,560 --> 01:03:05,120
to get get into the point where this is really getting very interesting

805
01:03:08,800 --> 01:03:11,520
whatever metrics will be

806
01:03:11,680 --> 01:03:16,480
restricted on InLeo that has a lot of been a bad implication when it comes to politics well

807
01:03:17,760 --> 01:03:23,920
ahmed you can't when you train on a large language model and and you're doing what um

808
01:03:25,200 --> 01:03:31,920
what LEO is you're you're limited to what you can do you're limited to the language model so

809
01:03:32,720 --> 01:03:40,720
if if it shows ChatGPT it's limited to what ChatGPT does so now you have the large language model

810
01:03:41,920 --> 01:03:48,560
which all the data it down uh you have to set it education so you've been linked totaking

811
01:03:49,200 --> 01:03:52,000
education right intoSSAM data scientists they've a way of doing that right now

812
01:03:54,080 --> 01:03:57,440
do you have any comments for us when you're looking for those sort of analytics

813
01:03:57,440 --> 01:04:10,720
to do them on the other side of things well thanks very much for professor

814
01:04:10,720 --> 01:04:10,800
tenn tofu d告

815
01:04:10,800 --> 01:04:10,880
just another fascinating insight I've been with you for three months and uh do I have any thoughts which have kind of bite into it and I nervous at an experienced student of a lot of different agencies um so I wanted to give you just three quick plus calls of these which it is it's it's trained on so claude 3.1 but it's also trained on whatever is on the high blockchain

816
01:04:11,680 --> 01:04:17,440
politics all day just like there's one for sports and one for technology and if politics aren't your

817
01:04:17,440 --> 01:04:28,960
thing don't go in it but the point being is yes you are restricted at the llm level but any

818
01:04:28,960 --> 01:04:36,000
politics that are on the high blockchain that talk about trump or biden or trudeau or whoever

819
01:04:36,000 --> 01:04:40,500
that's going into LeoAI

820
01:04:40,500 --> 01:04:49,380
so that's a way around it you you you are limited at the llm there's the other that

821
01:04:49,380 --> 01:04:57,560
what I call the slm which you start to feed articles feed things from different

822
01:04:57,560 --> 01:05:05,880
types of websites political websites that may be barred if for lack of better word or not

823
01:05:05,880 --> 01:05:05,980
barred if for lack of better word or not barred if for lack of better word or not

824
01:05:06,000 --> 01:05:12,260
utilized or underweighted by a meta that's the way around it

825
01:05:16,460 --> 01:05:21,580
uh morty s ai isn't necessarily training real time on the images and videos we upload

826
01:05:22,500 --> 01:05:30,660
no it is not multimodal as of this point at a certain point in time

827
01:05:30,660 --> 01:05:34,980
maybe it will be and keep in mind the images go into the image server

828
01:05:34,980 --> 01:05:35,480
maybe it will be and keep in mind the images go into the image server

829
01:05:35,480 --> 01:05:39,220
which LEO has its own image server so if it

830
01:05:39,220 --> 01:05:41,220
which LEO has its own image server so if it does go multi-modal

831
01:05:41,220 --> 01:05:44,260
does go multi-modal LEO has control of an access to all

832
01:05:44,260 --> 01:05:47,840
LEO has control of an access to all those images we upload through LeoAI

833
01:05:47,840 --> 01:05:49,720
those images we upload through LeoAI now if you uploaded through peakd that

834
01:05:49,720 --> 01:05:50,400
now if you uploaded through peakd that goes through

835
01:05:50,400 --> 01:05:53,380
goes through to to Blocktrades image server

836
01:05:53,380 --> 01:05:56,160
to to Blocktrades image server that he runs LEO doesn't have access to

837
01:05:56,160 --> 01:05:56,180
that he runs LEO doesn't have access to

838
01:05:56,180 --> 01:05:57,440
that he runs LEO doesn't have access to that

839
01:05:57,440 --> 01:06:00,980
that that serve now could they scrape it I

840
01:06:00,980 --> 01:06:01,000
that serve now could they scrape it I

841
01:06:01,000 --> 01:06:02,580
that serve now could they scrape it I don't know I guess they could

842
01:06:02,580 --> 01:06:07,140
But if we upload it through LeoAI, then it's there.

843
01:06:07,920 --> 01:06:11,560
And then you start to look at things such as memes and things of that nature.

844
01:06:12,040 --> 01:06:15,840
By the way, if you go, many of your browsers, I know Brave does this.

845
01:06:16,100 --> 01:06:20,760
If you go to an image that has text written on it, you can right click and it'll remove the text.

846
01:06:21,980 --> 01:06:31,400
If you want, remove the text off a meme and post it underneath that thread as another thread, as a comment, as a reply.

847
01:06:31,400 --> 01:06:37,280
Then that text is there, but the image of the meme is not being fed in.

848
01:06:38,060 --> 01:06:39,400
That's another way around it.

849
01:06:41,980 --> 01:06:43,120
Khal popped in.

850
01:06:43,180 --> 01:06:46,160
Did you peep the three new updates on the Shorts feed?

851
01:06:46,240 --> 01:06:48,900
No, this is a lion's den call, Khal.

852
01:06:49,040 --> 01:06:51,900
People are paying attention and they're in the Threadcast.

853
01:06:53,220 --> 01:06:59,160
Trending feeds upon views, payout value added, viewer view counter added.

854
01:07:00,060 --> 01:07:00,440
Excellent.

855
01:07:00,440 --> 01:07:00,560
Excellent.

856
01:07:00,920 --> 01:07:01,240
Excellent.

857
01:07:01,240 --> 01:07:01,260
Excellent.

858
01:07:01,260 --> 01:07:01,280
Excellent.

859
01:07:01,280 --> 01:07:01,300
Excellent.

860
01:07:01,300 --> 01:07:01,320
Excellent.

861
01:07:01,320 --> 01:07:01,340
Excellent.

862
01:07:01,340 --> 01:07:01,360
Excellent.

863
01:07:01,360 --> 01:07:01,380
Excellent.

864
01:07:01,380 --> 01:07:01,400
Excellent.

865
01:07:01,400 --> 01:07:04,020
I like that idea of trending based on views.

866
01:07:04,120 --> 01:07:05,240
I think that's very good.

867
01:07:07,400 --> 01:07:10,300
I'd be curious to know what the timeline is.

868
01:07:10,380 --> 01:07:12,120
I presume it's the last 24 hours.

869
01:07:12,960 --> 01:07:28,380
But yeah, people, as I've said, this kind of tangents a little bit away from the AI, but take your threads and start embedding them, just like people do with tweets.

870
01:07:29,800 --> 01:07:30,560
Embed your thread.

871
01:07:30,560 --> 01:07:31,300
Embed somebody else's.

872
01:07:31,300 --> 01:07:36,100
else's thread Khal made a thread about Nvidia yesterday I wrote an article

873
01:07:36,100 --> 01:07:43,480
video last night I use cows thread in my article I grabbed the thread link and I

874
01:07:43,480 --> 01:07:51,040
popped it right in there boom there it was so now somebody they don't have to

875
01:07:51,040 --> 01:07:57,280
leave the article they can read the thread but they can bounce back if they

876
01:07:57,280 --> 01:08:01,180
want to press the thread and go directly to the thread now let's go one

877
01:08:01,180 --> 01:08:07,600
step further you make a short which is a head you take that thread link you put

878
01:08:07,600 --> 01:08:13,480
it in your article guess what is in the article the video somebody can press the

879
01:08:13,480 --> 01:08:22,060
damn video right in your article that is a view for that video whether it's your

880
01:08:22,060 --> 01:08:26,960
video whether it's somebody else's video who cares it gets that person of you

881
01:08:26,960 --> 01:08:27,020
you

882
01:08:27,280 --> 01:08:29,080
know that person's video recording a video if you get the video caught up

883
01:08:29,080 --> 01:08:32,020
there what you might do is move the qualitative out of your article

884
01:08:32,020 --> 01:08:37,960
but here's just something to make sure you have and I'll be objective does

885
01:08:37,960 --> 01:08:42,340
frighten you good enough color you know what you were is a good work

886
01:08:42,340 --> 01:08:47,500
which hopefully those episodes will continue to screw on a date a few for

887
01:08:47,500 --> 01:08:51,120
future episodes a little bit better look at that

888
01:08:51,120 --> 01:08:54,920
since can't wait to see that three- далее

889
01:08:54,920 --> 01:08:56,340
interestingorr

890
01:08:56,340 --> 01:08:56,960
this is how we have to use the stuff

891
01:08:56,960 --> 01:08:59,200
Although it's still a bit simplified,

892
01:08:59,200 --> 01:09:02,700
it's a good way to demonstrate.

893
01:09:02,700 --> 01:09:07,840
All right, I'm going to do this on the fly.

894
01:09:07,840 --> 01:09:11,240
So let's see what Tokenize has here.

895
01:09:13,700 --> 01:09:16,580
I can't read that damn thing.

896
01:09:16,580 --> 01:09:20,920
Data, you have then data science, data engineering,

897
01:09:20,920 --> 01:09:25,740
and modeling, and then which is operationalizing.

898
01:09:25,740 --> 01:09:29,020
And it goes through a bunch of different things.

899
01:09:29,020 --> 01:09:34,260
And then it talks about the different industries.

900
01:09:34,260 --> 01:09:40,160
Or oh, different aspects, legal, ethical, historical, security.

901
01:09:40,160 --> 01:09:42,320
OK, I see what it's saying.

902
01:09:42,320 --> 01:09:45,260
So yeah, there's many components to this.

903
01:09:45,260 --> 01:09:51,800
But the point being, we want to just keep feeding this.

904
01:09:51,800 --> 01:09:53,500
Feed it more and more.

905
01:09:53,500 --> 01:09:55,660
The more you do, the more it grows.

906
01:09:55,740 --> 01:09:59,520
And I'm trying to give examples of ways

907
01:09:59,520 --> 01:10:03,780
to not only add more, but different types

908
01:10:03,780 --> 01:10:08,920
so it can be conceptualized.

909
01:10:08,920 --> 01:10:12,040
Context is very important for learning.

910
01:10:12,040 --> 01:10:17,260
And when you start to look at these knowledge graphics,

911
01:10:17,260 --> 01:10:21,260
and you start to look at these vector databases that

912
01:10:21,260 --> 01:10:25,520
are built, and these knowledge graphics, see, again, I go

913
01:10:25,520 --> 01:10:29,520
back to x has all these knowledge graphics that they're

914
01:10:29,520 --> 01:10:30,020
creating.

915
01:10:30,020 --> 01:10:32,280
Meta is creating all these knowledge graphics.

916
01:10:32,280 --> 01:10:36,400
They create this wonderful knowledge graphic.

917
01:10:36,400 --> 01:10:43,420
And nobody has access to it but x, because they're closed.

918
01:10:43,420 --> 01:10:45,160
It's their platform.

919
01:10:45,160 --> 01:10:48,680
So this is how, now, if you think about, and I mentioned

920
01:10:48,680 --> 01:10:53,720
Qtum, go to Qtum, I think, .ai.

921
01:10:53,720 --> 01:10:55,100
And I've dropped this in thread.

922
01:10:55,100 --> 01:10:59,100
They have a image generator and a chatbot.

923
01:10:59,100 --> 01:11:00,600
And it's trained on blockchain.

924
01:11:04,600 --> 01:11:12,600
Any models that are created from that, they're out there for anybody to use.

925
01:11:12,600 --> 01:11:14,600
Feels happy that Libya is mentioned.

926
01:11:14,600 --> 01:11:15,100
Ahmed.

927
01:11:15,100 --> 01:11:15,600
Yeah.

928
01:11:15,600 --> 01:11:18,100
I mean, it's every country.

929
01:11:18,100 --> 01:11:20,600
And the smaller the country, the less you're mentioned,

930
01:11:20,600 --> 01:11:24,600
the more impact you can have, because you start to put that into LeoAI.

931
01:11:24,600 --> 01:11:32,100
And you put very specific stuff into LeoAI about your country, or your local town,

932
01:11:32,100 --> 01:11:37,100
or whatever, it's not out there.

933
01:11:37,100 --> 01:11:42,100
It may not be out on the general net.

934
01:11:42,100 --> 01:11:48,100
That's why I like using InLeo for everything on Hive, Winanda.

935
01:11:48,100 --> 01:11:52,100
Sure, I could be a therapist, too, a few points a week, and you'll be better.

936
01:11:52,100 --> 01:11:53,100
You'll feel better.

937
01:11:53,100 --> 01:11:54,100
Plus, you'll have something.

938
01:11:54,100 --> 01:11:58,600
You'll have something for Saturday.

939
01:11:58,600 --> 01:11:59,600
There you go, Ahmed.

940
01:11:59,600 --> 01:12:04,100
I don't know if you drink or not, but fish will be your therapist.

941
01:12:04,100 --> 01:12:07,100
He'll show up with a 12-pack.

942
01:12:07,100 --> 01:12:15,100
So let me go through my list here and see if there's anything.

943
01:12:15,100 --> 01:12:20,100
And by the way, if something else fits, if you're doing a prompt of something, you're on.

944
01:12:20,100 --> 01:12:21,100
You're on.

945
01:12:21,100 --> 01:12:22,100
You're on.

946
01:12:22,100 --> 01:12:23,100
You're on.

947
01:12:23,100 --> 01:12:24,100
You're on.

948
01:12:24,100 --> 01:12:25,100
You're on.

949
01:12:25,100 --> 01:12:28,100
Any of the chatbots?

950
01:12:28,100 --> 01:12:31,100
And you do a prompt about whatever.

951
01:12:31,100 --> 01:12:36,100
Well, take that and drop it in the technology Threadcast at a minimum, because it may not

952
01:12:36,100 --> 01:12:38,100
fit anywhere.

953
01:12:38,100 --> 01:12:39,100
OK?

954
01:12:39,100 --> 01:12:51,100
So maybe you're doing a prompt about, I don't know, the War of 1812.

955
01:12:51,100 --> 01:12:52,100
So now you get that.

956
01:12:52,100 --> 01:12:53,100
OK.

957
01:12:53,100 --> 01:13:00,100
So drop it into the technology Threadcast and say, just say, according to and mention

958
01:13:00,100 --> 01:13:10,100
whatever you use, Grok with a K, Grok with a Q, Lama 3, Claude 3, whatever.

959
01:13:10,100 --> 01:13:21,100
Whatever one you use, Qtub, Venice, Venice is another blockchain-related one.

960
01:13:21,100 --> 01:13:25,100
By the one who started ShapeShift.

961
01:13:25,100 --> 01:13:30,100
Just say, according to that, and then post what you have.

962
01:13:30,100 --> 01:13:33,100
And obviously, a lot of times, these are bigger than one thread.

963
01:13:33,100 --> 01:13:37,100
So you break it up into four or five threads underneath.

964
01:13:37,100 --> 01:13:43,100
You create, basically, a thread storm.

965
01:13:43,100 --> 01:13:46,100
And that feeds in.

966
01:13:46,100 --> 01:13:50,100
And this is the point where, when it all comes back to...

967
01:13:50,100 --> 01:14:00,100
The idea of creating a $100 million market cap, AI can do that.

968
01:14:00,100 --> 01:14:02,100
And I have no doubt.

969
01:14:02,100 --> 01:14:10,100
Honestly, I have no doubt that if we feed it enough data, sure, there's enough compute

970
01:14:10,100 --> 01:14:13,100
to handle, to train on.

971
01:14:13,100 --> 01:14:18,100
And every generation, every iteration.

972
01:14:18,100 --> 01:14:23,100
So when we get LeoAI 1.0, it'll be whatever.

973
01:14:23,100 --> 01:14:33,100
Well, LeoAI 2.0 is going to, A, require more data, and B, require more compute.

974
01:14:33,100 --> 01:14:36,100
So we have to feed it more data.

975
01:14:36,100 --> 01:14:44,100
But LeoAI 2.0 will be much more advanced than LeoAI 1.0.

976
01:14:44,100 --> 01:14:47,100
And yes, everything on the Hive Blockchain is fed in.

977
01:14:47,100 --> 01:14:52,100
So it's not only stuff that comes through Leo.

978
01:14:52,100 --> 01:14:57,100
Anytime people post through Hiveblog or PeakD, that's on the blockchain.

979
01:14:57,100 --> 01:14:59,100
The text, at least.

980
01:14:59,100 --> 01:15:00,100
And that feeds in.

981
01:15:00,100 --> 01:15:09,100
So that's a good thing.

982
01:15:09,100 --> 01:15:15,100
But Leo is also doing a large percentage of the engagement on the blockchain.

983
01:15:15,100 --> 01:15:22,100
And Eric went through the numbers in one of the AMAs.

984
01:15:22,100 --> 01:15:25,100
And I honestly didn't write them down, so I don't remember.

985
01:15:25,100 --> 01:15:29,100
But I think it's like, I don't remember.

986
01:15:29,100 --> 01:15:35,100
30% or 40% of all comments come through LeoAI, or InLeo.

987
01:15:35,100 --> 01:15:37,100
X percent of the blog posts.

988
01:15:37,100 --> 01:15:43,100
Actually, the comments are probably higher, because threads are seen on Hiveblog.

989
01:15:43,100 --> 01:15:49,100
You know, threads are seen on Hive as comments.

990
01:15:49,100 --> 01:15:51,100
This is very important.

991
01:15:51,100 --> 01:16:01,100
And as I said, there is not a lot of time, because things are racing ahead very quickly.

992
01:16:01,100 --> 01:16:03,100
Very quickly.

993
01:16:03,100 --> 01:16:12,100
And so the more that we do on Leo, and this is why, I mean, you know, the Hive Twitter army.

994
01:16:13,100 --> 01:16:19,100
Those people are over there putting 10,000 tweets and comments and all that stuff a day.

995
01:16:19,100 --> 01:16:23,100
And they're all feeding Elon.

996
01:16:23,100 --> 01:16:25,100
They talk about Web3.

997
01:16:25,100 --> 01:16:26,100
They talk about Hive.

998
01:16:26,100 --> 01:16:30,100
But you've got to go to Twitter to find them.

999
01:16:30,100 --> 01:16:33,100
Now, I commend the people on this call.

1000
01:16:33,100 --> 01:16:34,100
Because I recognize you.

1001
01:16:34,100 --> 01:16:36,100
I see you on Twitter.

1002
01:16:36,100 --> 01:16:40,100
I see you around.

1003
01:16:40,100 --> 01:16:42,100
We're a small bunch.

1004
01:16:43,100 --> 01:16:48,100
But at least we're building it.

1005
01:16:48,100 --> 01:16:58,100
And the more we build it, and the faster it comes out, the more behind everybody else will be.

1006
01:16:58,100 --> 01:17:01,100
And if I had cows here, that would be my challenge to them.

1007
01:17:01,100 --> 01:17:03,100
Get this out.

1008
01:17:03,100 --> 01:17:06,100
And as I said before, I don't know the training schedule.

1009
01:17:06,100 --> 01:17:09,100
I don't have access to any of that information.

1010
01:17:09,100 --> 01:17:12,100
So there could be legitimate reasons.

1011
01:17:12,100 --> 01:17:17,100
You know, I mean, if the thing's not trained, the thing's not trained.

1012
01:17:17,100 --> 01:17:20,100
Doesn't matter how much I scream and holler.

1013
01:17:20,100 --> 01:17:22,100
It's like, it's not trained, dummy.

1014
01:17:22,100 --> 01:17:24,100
It doesn't work.

1015
01:17:24,100 --> 01:17:32,100
But when you look at the valuations, and yes, we can go back to saying it's the hype.

1016
01:17:32,100 --> 01:17:34,100
You can go back and saying it's the bubble.

1017
01:17:34,100 --> 01:17:36,100
You can go back and saying all of that nonsense.

1018
01:17:36,100 --> 01:17:40,100
When you see the valuations that are starting to be tied to AI and things like that, you know, we're going to be fighting for it.

1019
01:17:40,100 --> 01:17:41,100
It's not something we can do.

1020
01:17:41,100 --> 01:17:49,500
ai at every level it's enormous it makes a hundred million for LEO look like small potatoes

1021
01:17:53,100 --> 01:18:01,900
and the advantage LEO has is unlike ChatGPT which is having to contract with companies to get

1022
01:18:02,860 --> 01:18:08,860
permission to train on time and whoever read it and whoever else they they contracted with

1023
01:18:08,860 --> 01:18:11,740
we have the ability to add each and every day

1024
01:18:13,580 --> 01:18:21,580
to LeoAI we simply just use the platform it all adds in it all goes in there write a blog post

1025
01:18:25,660 --> 01:18:31,260
when when news to threads comes out add a bunch of articles from other places and

1026
01:18:31,260 --> 01:18:38,540
get a thread storm going all of that feeds in and it just increases the value

1027
01:18:39,020 --> 01:18:46,380
and as I've said I said this on the last call knowledge is being pushed down to zero

1028
01:18:47,100 --> 01:18:51,660
think about that when you can go to one of these chatbots if you could go to a

1029
01:18:51,660 --> 01:19:00,380
a LeoAI and you can put in a prompt and LeoAI writes the answer and provides you information

1030
01:19:01,100 --> 01:19:04,940
and it's not a mirror of what went before it's creating new information

1031
01:19:04,940 --> 01:19:08,780
just like you go to ideogram and you prompt in it creates a new picture

1032
01:19:09,020 --> 01:19:15,980
ever been seen before this creates new information what does that cost next to nothing

1033
01:19:17,580 --> 01:19:22,620
how do you va how do you capture value in a world of demonetization

1034
01:19:24,540 --> 01:19:33,820
tokenization the LEO token it all feeds into that this is what web 3 this is what I believe

1035
01:19:33,820 --> 01:19:38,780
the essence of web 3 is moving towards web 3 is not separated from ai

1036
01:19:39,820 --> 01:19:40,540
it's all one

1037
01:19:49,260 --> 01:19:52,620
oh let's see lucio I love this idea of embedding threads

1038
01:19:53,820 --> 01:20:00,140
yeah morty's having fun uh creating deep fakes with my head uh

1039
01:20:03,180 --> 01:20:04,220
ahmed had to go

1040
01:20:07,500 --> 01:20:08,700
uh morty peeped at

1041
01:20:08,860 --> 01:20:11,660
kyle this morning I don't know what he peeped him about uh

1042
01:20:15,180 --> 01:20:15,680
oh

1043
01:20:19,340 --> 01:20:19,840
so

1044
01:20:23,020 --> 01:20:27,820
with that we've gone for almost an hour and 20 minutes let me see um

1045
01:20:29,020 --> 01:20:32,700
oh there's one other thing I wanted to to

1046
01:20:35,100 --> 01:20:38,780
bring about bring up this a little further out

1047
01:20:38,860 --> 01:20:43,260
but I I want to I'm trying to put a vision and that's the reason for for

1048
01:20:43,260 --> 01:20:48,700
these calls and I'll be doing this I'm sure more of this topic here um

1049
01:20:51,420 --> 01:20:55,180
this this comes from the ex google ceo eric schmidt he had a very

1050
01:20:56,460 --> 01:21:01,020
well-known video that he did at stanford a couple weeks back and ended up being banned

1051
01:21:03,180 --> 01:21:07,900
but people started resurfacing it um youtube banned it for some reason

1052
01:21:08,700 --> 01:21:16,940
But he said something very interesting. And he said, next year, these are the three components

1053
01:21:16,940 --> 01:21:22,780
that are going to change everything. He said, the first thing in these LLMs, very large context

1054
01:21:22,780 --> 01:21:30,460
windows are being created to the point where you can feed into a context window like a 20 volume

1055
01:21:30,460 --> 01:21:37,660
book. And a way of looking at that is that's like our short term memory. And so you feed

1056
01:21:37,660 --> 01:21:44,220
that in. But then he said, the next thing that is going to really take off our AI agents.

1057
01:21:45,820 --> 01:21:53,420
And these agents are going to be multiplying into the billions. Many of them open source,

1058
01:21:53,420 --> 01:22:00,060
many of them copied. And ultimately, you're going to get the internet of agents, where these AI

1059
01:22:00,060 --> 01:22:07,180
agents are all going to be connected. And then the third piece or component is what he calls

1060
01:22:07,180 --> 01:22:07,640
text-to-text. And that's what he calls text-to-text. And then he calls text-to-text. And

1061
01:22:07,640 --> 01:22:07,660
And then the third piece or component is what he calls text-to-text. And that's what he calls text-to-text.

1062
01:22:07,660 --> 01:22:09,800
action. And I think that's

1063
01:22:09,800 --> 01:22:11,740
his phrase. I've never heard anybody

1064
01:22:11,740 --> 01:22:13,900
else say it. And basically

1065
01:22:13,900 --> 01:22:15,680
what that is, is where

1066
01:22:15,680 --> 01:22:17,500
you

1067
01:22:17,500 --> 01:22:18,300
prompt

1068
01:22:18,300 --> 01:22:21,620
an AI agent or a series of AI

1069
01:22:21,620 --> 01:22:23,320
agents to take action.

1070
01:22:24,800 --> 01:22:26,080
Such as

1071
01:22:26,080 --> 01:22:27,800
here's my

1072
01:22:27,800 --> 01:22:29,260
schedule next week.

1073
01:22:30,180 --> 01:22:31,780
Book my airfare, rental

1074
01:22:31,780 --> 01:22:32,920
cars, hotel rooms.

1075
01:22:32,920 --> 01:22:37,160
And the AI

1076
01:22:37,160 --> 01:22:39,000
agent or AI

1077
01:22:39,000 --> 01:22:41,240
agent system, personal assistant

1078
01:22:41,240 --> 01:22:43,000
if you will, goes out

1079
01:22:43,000 --> 01:22:44,880
there and

1080
01:22:44,880 --> 01:22:46,800
interacts with other

1081
01:22:46,800 --> 01:22:48,840
agents that can go to the bookings sites,

1082
01:22:48,920 --> 01:22:51,260
can go to the hotel sites, can go to Hertz.com,

1083
01:22:51,440 --> 01:22:52,520
whatever it is,

1084
01:22:53,040 --> 01:22:54,200
actually book the stuff.

1085
01:22:59,260 --> 01:23:00,780
And he says that's where we'll be

1086
01:23:00,780 --> 01:23:01,480
in the next year.

1087
01:23:02,920 --> 01:23:04,860
Think of that.

1088
01:23:04,940 --> 01:23:05,980
Personal AI assistant.

1089
01:23:08,100 --> 01:23:08,940
Now how does

1090
01:23:08,940 --> 01:23:10,940
Leo fit into that? I don't have

1091
01:23:10,940 --> 01:23:11,720
the answer today.

1092
01:23:14,880 --> 01:23:16,420
But being tied to meta,

1093
01:23:16,720 --> 01:23:18,420
you know a lot of this stuff will be

1094
01:23:18,420 --> 01:23:19,820
tied to

1095
01:23:19,820 --> 01:23:23,160
since that's

1096
01:23:23,160 --> 01:23:24,860
basically the primary open source

1097
01:23:24,860 --> 01:23:25,160
model.

1098
01:23:27,320 --> 01:23:28,840
People will fork that and create

1099
01:23:28,840 --> 01:23:30,820
all kinds of agents that probably will be

1100
01:23:30,820 --> 01:23:32,360
based on the same coding. So

1101
01:23:32,360 --> 01:23:34,300
Leo can incorporate a lot of that

1102
01:23:34,300 --> 01:23:34,620
stuff.

1103
01:23:37,580 --> 01:23:38,420
That's what I'm

1104
01:23:38,420 --> 01:23:38,980
talking about.

1105
01:23:40,000 --> 01:23:41,400
How much is that worth?

1106
01:23:42,920 --> 01:23:44,200
What's the value of that?

1107
01:23:47,580 --> 01:23:48,500
And again,

1108
01:23:48,820 --> 01:23:50,360
Leo has the ability to keep

1109
01:23:50,360 --> 01:23:52,340
feeding it more data.

1110
01:23:53,860 --> 01:23:54,260
And then

1111
01:23:54,260 --> 01:23:56,380
every time LeoAI prompts something

1112
01:23:56,380 --> 01:23:58,340
and you prompt something through

1113
01:23:58,340 --> 01:24:00,500
LeoAI, what is resource

1114
01:24:00,500 --> 01:24:02,260
credits? That's more data.

1115
01:24:02,260 --> 01:24:04,180
That's more data that Leo has to feed

1116
01:24:04,180 --> 01:24:06,180
in, even though that

1117
01:24:06,180 --> 01:24:07,680
isn't necessarily on the blockchain.

1118
01:24:08,780 --> 01:24:10,220
But it's still part of

1119
01:24:10,220 --> 01:24:10,840
Leo's

1120
01:24:10,840 --> 01:24:13,840
database.

1121
01:24:14,580 --> 01:24:15,840
It gets fed in.

1122
01:24:16,240 --> 01:24:17,120
And I don't know, maybe

1123
01:24:17,120 --> 01:24:20,320
a lot

1124
01:24:20,320 --> 01:24:20,880
of this stuff,

1125
01:24:22,500 --> 01:24:23,540
maybe there will be an option

1126
01:24:23,540 --> 01:24:24,900
where

1127
01:24:24,900 --> 01:24:28,100
that can be written to the blockchain.

1128
01:24:30,100 --> 01:24:32,200
Anything you prompt through LeoAI,

1129
01:24:32,260 --> 01:24:33,580
ends up written into the blockchain.

1130
01:24:35,180 --> 01:24:36,200
Just like

1131
01:24:36,200 --> 01:24:38,400
there's an

1132
01:24:38,400 --> 01:24:40,120
account set up for LeoShorts, or

1133
01:24:40,120 --> 01:24:41,700
multiple accounts for LeoShorts.

1134
01:24:43,100 --> 01:24:43,680
So maybe

1135
01:24:43,680 --> 01:24:46,200
they set up where every prompt

1136
01:24:46,200 --> 01:24:48,180
done InLeo AI, an account

1137
01:24:48,180 --> 01:24:50,220
posts that as an article to the

1138
01:24:50,220 --> 01:24:50,540
blockchain.

1139
01:24:54,120 --> 01:24:56,220
Think of that. Now we're just

1140
01:24:56,220 --> 01:24:57,720
feeding more data into it.

1141
01:24:58,260 --> 01:25:00,340
More data that's open source,

1142
01:25:00,340 --> 01:25:02,180
that's permissionless, that anybody can

1143
01:25:02,180 --> 01:25:04,300
use. I don't know if Khal's

1144
01:25:04,300 --> 01:25:05,500
thinking in that direction, but

1145
01:25:05,500 --> 01:25:07,800
that's just something off the top of my head.

1146
01:25:13,460 --> 01:25:13,940
So

1147
01:25:13,940 --> 01:25:16,000
hopefully you found this informative.

1148
01:25:16,420 --> 01:25:18,340
Hopefully you see how

1149
01:25:18,340 --> 01:25:18,860
we

1150
01:25:18,860 --> 01:25:22,100
can go from where we're at

1151
01:25:22,100 --> 01:25:24,240
now to a huge market cap.

1152
01:25:24,940 --> 01:25:26,020
And yes, social media

1153
01:25:26,020 --> 01:25:28,040
is helpful, but I believe social

1154
01:25:28,040 --> 01:25:29,980
media is only a tool now. It's only a

1155
01:25:29,980 --> 01:25:32,160
pathway. It's a feeder system.

1156
01:25:32,160 --> 01:25:35,400
For a long

1157
01:25:35,400 --> 01:25:37,280
time, social media was

1158
01:25:37,280 --> 01:25:39,520
the meat.

1159
01:25:40,840 --> 01:25:42,500
Now it's a pathway

1160
01:25:42,500 --> 01:25:44,440
to the stake. The stake is AI.

1161
01:25:44,880 --> 01:25:45,900
The stake is data.

1162
01:25:46,640 --> 01:25:48,260
Data coupled with

1163
01:25:48,260 --> 01:25:50,500
improving algorithms with more compute.

1164
01:25:51,720 --> 01:25:52,500
And as I said,

1165
01:25:53,060 --> 01:25:54,300
I am highly convinced

1166
01:25:54,300 --> 01:25:56,200
after dealing with Khal for five years,

1167
01:25:56,940 --> 01:25:58,700
we give him enough data,

1168
01:25:59,080 --> 01:26:00,400
he'll make sure the compute's there.

1169
01:26:01,480 --> 01:26:02,140
He'll make sure the compute's there.

1170
01:26:02,160 --> 01:26:06,420
So we just have to do our part.

1171
01:26:08,120 --> 01:26:09,740
He can't conjure up the data.

1172
01:26:10,100 --> 01:26:11,960
I mean, he can go and set up stuff to scrape,

1173
01:26:12,140 --> 01:26:14,240
but we got our own

1174
01:26:14,240 --> 01:26:16,020
social media platform.

1175
01:26:17,760 --> 01:26:18,840
Why don't we fill it?

1176
01:26:20,020 --> 01:26:21,700
We have people all over the world.

1177
01:26:22,720 --> 01:26:23,820
Wherever you are in the world,

1178
01:26:24,220 --> 01:26:26,220
put information there about where you're at.

1179
01:26:26,700 --> 01:26:28,000
Put it in your own language.

1180
01:26:28,860 --> 01:26:30,040
Get it so

1181
01:26:30,040 --> 01:26:31,820
LeoAI has some

1182
01:26:31,820 --> 01:26:32,140
contact.

1183
01:26:32,160 --> 01:26:34,200
Because it'll have

1184
01:26:34,200 --> 01:26:36,340
context that Meta doesn't.

1185
01:26:37,140 --> 01:26:37,760
Think of that.

1186
01:26:39,840 --> 01:26:41,240
You go onto Facebook,

1187
01:26:41,440 --> 01:26:43,000
you are not going to influence

1188
01:26:43,000 --> 01:26:45,660
Llama 3.1

1189
01:26:45,660 --> 01:26:47,300
or Llama 4.0 too much.

1190
01:26:47,720 --> 01:26:48,980
You go onto XAI,

1191
01:26:49,160 --> 01:26:50,260
you're not going to influence

1192
01:26:50,260 --> 01:26:51,140
Scrock too much.

1193
01:26:51,700 --> 01:26:52,920
You go onto Leo,

1194
01:26:53,920 --> 01:26:55,740
you are going to

1195
01:26:55,740 --> 01:26:57,400
impact XLEO

1196
01:26:57,400 --> 01:26:58,700
a great deal more.

1197
01:26:59,860 --> 01:27:00,780
And keep in mind,

1198
01:27:00,780 --> 01:27:02,120
this ties into

1199
01:27:02,120 --> 01:27:03,260
recommend engines.

1200
01:27:03,940 --> 01:27:05,440
This ties into

1201
01:27:05,440 --> 01:27:08,060
the digital identity

1202
01:27:08,060 --> 01:27:09,380
and digital profile

1203
01:27:09,380 --> 01:27:12,120
that LeoAI is going to

1204
01:27:12,120 --> 01:27:12,920
start developing.

1205
01:27:13,100 --> 01:27:14,960
It feeds into a lot of things

1206
01:27:14,960 --> 01:27:17,420
that maybe you are not thinking about

1207
01:27:17,420 --> 01:27:18,100
at this point

1208
01:27:18,100 --> 01:27:20,280
because they haven't fully evolved.

1209
01:27:21,680 --> 01:27:23,140
But when you start talking about

1210
01:27:23,140 --> 01:27:25,000
digital twins and digital identities

1211
01:27:25,000 --> 01:27:27,400
and digital this and digital that,

1212
01:27:27,980 --> 01:27:29,640
all of that's being captured

1213
01:27:29,640 --> 01:27:30,360
by LeoAI.

1214
01:27:32,120 --> 01:27:33,400
So the more you feed it,

1215
01:27:34,560 --> 01:27:36,080
the more it has to build from.

1216
01:27:38,080 --> 01:27:39,080
And oh, by the way,

1217
01:27:42,280 --> 01:27:43,880
X closes down your account.

1218
01:27:44,680 --> 01:27:46,280
Whatever Grok built on you,

1219
01:27:46,560 --> 01:27:46,960
gone.

1220
01:27:48,440 --> 01:27:49,520
You're done.

1221
01:27:51,440 --> 01:27:53,200
On Leo, it's building it

1222
01:27:53,200 --> 01:27:54,120
from the blockchain.

1223
01:27:57,160 --> 01:27:57,760
It's there.

1224
01:27:58,280 --> 01:27:58,780
So,

1225
01:28:01,080 --> 01:28:02,080
mutability,

1226
01:28:02,120 --> 01:28:03,920
it takes on added meaning,

1227
01:28:03,920 --> 01:28:05,080
in my opinion.

1228
01:28:05,800 --> 01:28:07,560
Open source, permissionless.

1229
01:28:07,560 --> 01:28:09,000
It's on added meaning.

1230
01:28:09,000 --> 01:28:10,800
It's no longer financial.

1231
01:28:12,440 --> 01:28:14,680
Web3 is not cryptocurrency.

1232
01:28:14,680 --> 01:28:16,520
Cryptocurrency is a part of Web3.

1233
01:28:16,520 --> 01:28:18,200
Tokenization is part of Web3.

1234
01:28:18,960 --> 01:28:20,800
But we're dealing with something much bigger,

1235
01:28:21,840 --> 01:28:22,720
in my opinion.

1236
01:28:28,800 --> 01:28:31,120
It seems some shorts are not in the short feed yet.

1237
01:28:31,120 --> 01:28:31,600
I scrolled through,

1238
01:28:31,600 --> 01:28:32,880
and didn't see mine.

1239
01:28:32,880 --> 01:28:34,400
I doubt I saw up 1,000 shorts

1240
01:28:34,400 --> 01:28:35,600
within a very short time.

1241
01:28:35,960 --> 01:28:36,760
Winanda,

1242
01:28:38,360 --> 01:28:39,640
the procedure is,

1243
01:28:39,640 --> 01:28:41,320
if you don't see your short,

1244
01:28:42,320 --> 01:28:44,280
have feedback at the top line,

1245
01:28:44,720 --> 01:28:47,040
put the name of the short you posted,

1246
01:28:47,480 --> 01:28:49,280
and Khal will be able to go in

1247
01:28:49,480 --> 01:28:51,040
and research what happened.

1248
01:28:53,920 --> 01:28:55,880
They are trying to figure out

1249
01:28:55,880 --> 01:28:57,160
where the problem is.

1250
01:28:57,560 --> 01:28:59,080
One of the problems is,

1251
01:28:59,440 --> 01:29:01,080
3Speak gives a lot of error.

1252
01:29:01,080 --> 01:29:03,040
I talked to Khal about this yesterday.

1253
01:29:04,240 --> 01:29:07,400
He said that they've set up where,

1254
01:29:08,200 --> 01:29:09,680
and you find this sometimes

1255
01:29:09,680 --> 01:29:13,400
when you're doing a post through 3Speak directly.

1256
01:29:14,080 --> 01:29:15,600
You hit the submit button,

1257
01:29:15,600 --> 01:29:17,160
and it gives you an error,

1258
01:29:17,160 --> 01:29:18,960
server error or whatever it says.

1259
01:29:18,960 --> 01:29:20,280
And you hit the submit button again,

1260
01:29:20,280 --> 01:29:21,440
it goes through.

1261
01:29:21,440 --> 01:29:24,040
Well, if that happens with a short,

1262
01:29:25,280 --> 01:29:26,120
it's done.

1263
01:29:26,120 --> 01:29:27,600
Well, they have a retry,

1264
01:29:27,600 --> 01:29:28,880
so they do that.

1265
01:29:28,880 --> 01:29:30,320
But then there's encoding problems.

1266
01:29:31,080 --> 01:29:32,760
And maybe it's stuck in the encoder.

1267
01:29:32,760 --> 01:29:39,440
Sometimes it shows up on the new page on 3Speak,

1268
01:29:40,720 --> 01:29:42,040
but it doesn't show up on Leo.

1269
01:29:44,320 --> 01:29:45,840
Well, they need to find out why.

1270
01:29:45,840 --> 01:29:47,680
So, if you give them a title

1271
01:29:47,680 --> 01:29:49,840
of what you posted and didn't show up,

1272
01:29:49,840 --> 01:29:51,600
Khal can look into it.

1273
01:29:51,600 --> 01:29:54,880
Khal can follow the path.

1274
01:29:54,880 --> 01:29:56,440
He can see where it got hung up

1275
01:29:57,400 --> 01:29:58,400
and what the issue was.

1276
01:29:59,360 --> 01:30:00,240
And oh, by the way, if it doesn't show up, then,

1277
01:30:00,240 --> 01:30:04,040
in an hour or so, resubmit it.

1278
01:30:04,040 --> 01:30:10,880
But do the hashtag feedback

1279
01:30:10,880 --> 01:30:11,840
so we can research it.

1280
01:30:11,840 --> 01:30:13,480
Because if you're having that problem,

1281
01:30:13,480 --> 01:30:17,040
it may be an ongoing problem.

1282
01:30:17,040 --> 01:30:19,240
And that's how they can improve the system.

1283
01:30:21,280 --> 01:30:25,160
So, with that, we will shut this down

1284
01:30:25,160 --> 01:30:29,400
and we will see you next week.

1285
01:30:30,240 --> 01:30:31,080
Ciao.