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This is epicenter episode 366 
with guest Trent McConaughey. 

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I am Sebastian culture and 
you're listening to epicenter 

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the podcast, worry interview, 
crypto, Founders, Builders and 

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thought leaders. 
On this show, we dive deep to 

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learn how things work at a 
technical level, and we fly high

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to understand Visionary, 
Concepts, and long-term trends. 

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If you like epicenter, the best 
way to support us is to leave a 

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review on Apple podcasts. 
And if you're on a Mac or iOS 

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device the easiest Way to do 
that is to go to epicenter dot 

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rocks /. 
Apple today my guest is Trent 

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McConaughy and longtime 
listeners of the podcast will 

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recognize Trent as a repeat 
guests. 

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In fact, this was his fourth 
time on the show and today he 

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comes to us to tell us all about
ocean protocol which he and his 

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team have been working on for 
some time. 

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Now, in fact, ocean protocol 
just released its P3 which 

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builds and improves on previous 
versions of the platform and now

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lives natively on Theorem main 
chain ocean protocol is a 

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platform to create data 
marketplaces and if you haven't 

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noticed data is a big business. 
By some estimates, it is over 

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500 billion dollars in Europe 
alone. 

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And what is obvious to everyone 
who is observing the space. 

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That there's a fundamental 
misalignment between those 

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creating the data and those 
consuming it, it's a very one. 

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Directional value flow, in terms
of those who are providing the 

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value, which is the data itself 
and those who are extracting 

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that value and those are big 
Tech platforms. 

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We typically use that data to 
sell signals and advertising to 

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Brands and Merchants as Trent 
describes it, there is a shadow 

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data economy. 
Just as there is Shadow Banking 

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and we need to flip this model 
on its head and if you haven't 

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watched the Recent documentary 
by Tristana Harris. 

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The social dilemma I would 
encourage you to check it out 

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because it really kind of 
summarizes this problem in a 

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very concise way. 
And in a way that's easy to wrap

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your head around. 
Anyway, the ocean protocol 

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provides an alternative to this 
model and alternative in which 

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data providers users typically 
can sell their data on the 

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platform to whomever is 
interested in it. 

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Remember wants to buy it and 
that data set is represented as 

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a token. 
Ian and that tokens value is a 

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function of the usefulness of 
that data to whomever wants to 

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buy it. 
So it's a much more Equitable 

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Market where the value flow is 
more cyclical than one 

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directional. 
This was such a fun and 

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fascinating conversation, I 
always enjoy speaking with 

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Trent, gives you such a 
Visionary and just all around a 

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nice guy. 
And I hope to see this model 

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develop and I hope to see it 
really take hold because there's

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so much at stake here and the 
current model so many things 

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that are broken with it, we're 
only beginning to see the impact

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that that has on our society. 
So I think that Lots is at stake

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here and ocean protocol, 
provides an alternative if not a

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solution to this problem. 
So with that, here's my 

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conversation with Trent 
McConaughey. 

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I'm here with fellow Canadian 
Trent McConaughey, who, who is 

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repeat guests on the show. 
In fact, I was looking just 

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before Trent, is actually has 
actually been on the show for X 

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so he holds second place after 
Shawn Jones, who, of course, was

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our Regulatory Affairs because 
correspondent early in the day. 

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And so, welcome back for a 
fourth time on epicenter for and

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great to be here. 
Going to be fun as usual. 

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Yeah, the actually the last time
you Iran. 

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You surprised me with fredersen 
if you guys were at some 

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conference and you were supposed
to come on to talk about IP DB 

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and and then lo and behold you 
like oh I got Fred here. 

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Let's talk about data and and 
machine learning and likes our 

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data rights on the blockchain. 
And that was really interesting 

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conversation and I was listening
to a little bit of that in 

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preparation for this. 
But for those who perhaps a new 

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the show or haven't heard your 
previous episodes, remind our 

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listeners of Who You Are. 
Are and what you're doing and 

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how you got here. 
Sure. 

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So grew up in rural Canada, 
train us and electrical 

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engineering computer scientist. 
And then I did a couple AI 

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companies towards computer chip 
design as well as a PhD on that 

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as well. 
In 2013 in 2010, I actually 

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bought some Bitcoin lost those 
private Keys long ago in 2013, I

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discovered you know, really what
blockchain meant hanging out of 

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room. 77 in Berlin, the 
eponymous room 77 and kind of 

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You know, that was the beginning
of really truly diving down the 

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rabbit hole and started hacking 
away at ideas and stuff and it 

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led to ascribe than between to 
be and IP to be then ocean. 

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Now, so a scribe, was basically 
a project about asking the 

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question, how do you collect 
digital art and how do artists 

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that create digital art, get 
paid and this was, you know back

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in 2013 2014 one of my 
co-founders was a professional 

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curator had worked in the Louver
all these things. 

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So we did this and We released a
beta in 2014 and worked with a 

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lot of leading digital artists 
and went live in 2015 in full 

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production. 
And, you know, it was really 

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fun, really enjoyed it. 
Great cause all that, but scale 

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was an issue. 
We had built on top of Bitcoin 

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blockchain if the room didn't 
even exist it first, right? 

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And, you know, it was clear that
the scaling Solutions weren't 

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going to be coming any time 
soon. 

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So we said, okay we don't need 
full smart contract, platform, 

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Etc. 
Anyway. 

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So let's instead take an 
existing distributed database 

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and And decentralize it. 
So at first we wrapped rethink 

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DB and then that pivoted to 
mongo and we basically put the 

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fft algorithm around it, 
tenement actually by the end. 

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So that was between you me. 
And that was in that sort of 

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2015, 2016, 2017 era. 
And that also you know, what was

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a pretty useful tool. 
It was very appealing, 

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especially to Enterprises 
looking to dip your toes in 

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blockchain who kind of 
understood databases and so on. 

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We worked with a lot of 
Enterprises in that era and It 

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was pretty neat at the same time
to we saw that. 

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We really wanted to have sort of
this public blockchain database 

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utility if you will so because 
bikini be software was set up in

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Federated way. 
Now we call that a POA type 

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approach then we needed to do a 
lot of governance work. 

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Sort of lining up. 
Many people to be nodes etc etc,

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etc. 
And around that we created a 

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nonprofit organization 
germany-based one called IP. 

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BB interplanetary database. 
And so that was basically the 

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nonprofit arm of between to be 
this was all tokens by the way 

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as well. 
We didn't see the need for a 

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token, the really wasn't. 
So we didn't have one and so 

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basically that went along and 
it's still around to this day as

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well. 
Finally in 2017, we saw late, 

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well actually even 2016 but 
especially 2017 we were starting

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to do projects and think about 
how do you reconcile a i with 

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blockchain. 
And at first just kind of But 

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then people were coming to us 
saying, hey, you know, like 

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Toyota said, we're doing 
autonomous driving, we really 

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need to have way more data than 
Toyota itself has. 

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So we think that a decentralized
data exchange could be really, 

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really useful. 
And you know what you wrote 

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about about decentralized 
exchange is Trent. 

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This is great. 
Let's you know, build a 

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prototype. 
So we built that and ship that 

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in Spring of 2017 and just in 
the last show, Sebastian that's 

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probably when I talk to you 
about that. 

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We had just announced it that 
same week in fact. 

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That's right. 
I think I think when I came on 

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with Fred And I had just come 
off the stage of announcing in a

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consensus. 
Exactly. 

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Yeah, I remember that. 
So, so basically from then 

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though, and also in that 
episode, we had talked about 

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data exchanges and within a 
month or two after that, you 

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know, the word ocean. 
We came up with the word ocean 

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for this project that had been 
brewing inside inside the 

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organization and it was really 
addressing. 

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We basically, when we were 
thinking, what a, I'm blockchain

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and all the different problems 
that you could solve all roads, 

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led to data exchange, you know, 
there's problems related to 

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social media where If you are a 
Facebook or Google, you 

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basically have all this data of 
all the people, that's kind of 

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signed it over giving you 
permission to do whatever you 

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want. 
And it's really, really harmful 

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to society in many ways you 
could go on and on or just watch

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the social dilemma or whatever. 
But there's a lot of other 

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issues to write if you're an AI 
startup and you're trying to 

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build any, I model, you're going
to be starved for data. 

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You just don't know where to get
the data from. 

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And the thing is AI loves data 
with modern machine, learning 

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based AI, deep learning, and all
this sort of thing. 

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Thing to get more accuracy, you 
need more data and, you know, 

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you want to go from, you know, 
30 percent error to 10 percent 

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to one percent, two point, one 
percent two point, zero, one 

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percent, depending on the 
application. 

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And for that you need, you know,
10x more data, 10x more data 10x

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more day to 10x more data and AI
people don't have the tools for 

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that. 
You know, how do they get more 

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data and the sort of been the 
state economy, but it's just 

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like, there's been a traditional
banking economy that's all 

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Shadow, right? 
You know, leading to the 2008 

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financial crisis, and many 
financial crisis before that 

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we've got kind of Same thing in 
the world of data, right? 

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There's a shadow data economy 
and we have a data crisis. 

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Now that has been sort of 
Brewing over the last 10 years. 

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20 years. 
And we haven't really noticed it

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because it's sort of been like a
frog boiling in a pot of water 

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right at first. 
It wasn't boiling, but bit by 

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bit, now it's clearly boiling 
and people are asking what to 

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do. 
So and just as crypto said, 

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okay, there's the shadow banking
economy. 

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Let's use crypto to try to 
create an open Money economy and

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we have that not just with 
Bitcoin as a store of value and 

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ethereum as a foundation, but 
also defying top and all the 

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things there. 
So, what oceans goal is to say, 

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hey, there's also a shadow date 
economy and let's use crypto 

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tools to create an open data 
economy, where there's Shades of

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Grey permissioning privacy. 
And so on, Yeah, thanks for that

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recap, and all these things, you
know, that you mentioned that 

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you worked on. 
So first described then Big 

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Chain DB then. 
Then eye PDD to me these things 

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were all these projects were 
also Visionary, like first 

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putting art on the blockchain. 
I mean, this was in like 2014. 

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I think the first time you came 
on this was such an interesting 

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concept and interesting idea, I 
think it was really the one of 

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the first times that, you know, 
people were confronted with the 

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idea of a non fungible good on 
the blockchain. 

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And this was before etherium, 
this was before n ftes, And then

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in a big chain, DB I mean, to me
like I latched onto that idea. 

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And of course, I pdb afterwards,
I thought that it was so 

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powerful, you know, as a 
developer like as a web 

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developer, I love the idea of 
having a permissionless publicly

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available database available on 
the blockchain on a peer-to-peer

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infrastructure. 
I guess is better way to put it 

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and you know, same for IPs fast 
like I have this sort of similar

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you know attachment to that to 
that idea. 

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Was that concept too simplistic?
No. 

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I think about some of the 
shortcuts that we sometimes take

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when trying to innovate with 
like new technologies and I 

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wonder if the if the ipd be idea
was perhaps simplistic like like

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let's say let's put newspapers 
on the internet but we'll just 

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do that in PDF format right? 
Like not considering what the 

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technology affords and the types
of innovations that the 

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technology provides. 
You think that that was perhaps 

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the case and that ocean sort of 
builds like a new model that 

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really leverages Three 
Technologies to the fullest. 

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So I think. 
Overall, first of all simple is 

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good in general, but it's, you 
know, you want to make things 

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simple but no simpler right to 
paraphrase, Einstein. 

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And it's it can be hard to 
arrive at simple, you know, Mark

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Twain has this quote that I just
love. 

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He said, I'm sorry, I had to 
write you a long letter because 

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I had no time to write a short 
one. 

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And I think this is really true.
So you know, Simplicity is hard 

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simple as hard. 
I think in the case of big chain

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to be, it was a very simple 
conceptual idea, leveraging. 

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You know all this great 
infrastructure developed for the

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distributed systems world. 
Like how does Facebook actually 

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scale? 
Right? 

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So leveraging, those sorts of 
technologies that part was 

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found. 
I think the challenge that 

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bikini be and IPTV, had was the 
sheer underestimation of how 

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hard it is to roll out. 
Something that is permissioned. 

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The technology is easier but the
politics and everything else 

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around it is much much harder. 
I've seen team after team after 

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team, you know, say, hey, let's 
go for something that's 

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permissioned thinking that, you 
know, they can use that as a 

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stepping stone for permission 
has and it's just so much 

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effort. 
We even did that for the first 

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parts of ocean and stuff, right.
We actually had spent a lot of 

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effort put on doing that the 
pulpit, the politics. 

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If you will a talking to a lot 
of teams and organizations to 

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get them to be nodes for IPTV 
and so on. 

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I remember those conversations. 
Yeah, that's right. 

243
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I mean, stratum was was part of 
that. 

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Initial group of people we were,
we were speaking. 

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King about exactly this, you 
know, how do we set this up? 

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And like exactly governance. 
And that was the challenging 

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part is like not technology. 
It's human interaction and 

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governance is the most 
complicated. 

249
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Exactly. 
So, you know, the government's 

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as well as how does this relate 
to the law? 

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Because once you have a POA or 
Federated Network, then you have

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to, you know, it has typically 
much stronger ties to Identity, 

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and then these organizations 
that are running the nodes have 

254
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to they have higher degrees of 
liability. 

255
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And then if you start to put 
together, Simply an agreement 

256
00:13:48,600 --> 00:13:52,100
for sort of a note, operating 
agreement of, you know, what 

257
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rights and responsibilities they
have the responsibilities in the

258
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liability of start to away the 
rights quite a lot actually 

259
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unless you're very careful, 
right? 

260
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And if they're if they start to 
get too much reward on the other

261
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hand from just running a node, 
then it has the risk of becoming

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a cabal as well. 
So it's really a tough thread to

263
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to solve and frankly. 
It wasn't really like we always 

264
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had the plan with pitching to be
to be permission this. 

265
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Anyway, it was just a stepping 
stone. 

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And so we saw that, okay? 
We could develop this more or we

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could go towards where we saw. 
There was more you know more 

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opportunity in a sense with 
ocean and keep maintaining 

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bikini be, it's not like we just
shut down one and one for the 

270
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other we actually you've evolved
from wanted together. 

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Basically now you know, ocean is
on a mission of substrate and 

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even as more contracts 
themselves or permissionless by 

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virtue of not having any 
built-in upgradability and it's 

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it's basically it's radically 
simpler from a governance 

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perspective. 
There is still government, 

276
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right? 
But, you know, on the substrate 

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side, you have to do a hard 
fork. 

278
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And one level above you have to 
convince your community to 

279
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switch over from one thing to 
the next. 

280
00:14:55,700 --> 00:14:58,300
And I view that as a really good
thing, right? 

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It's a high friction for, for 
changing decisions, that should 

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00:15:03,600 --> 00:15:05,800
take High friction. 
There are other cases where you 

283
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want to have low friction, even 
at the substrate level and I'm 

284
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super thetic of all of those 
approaches as well, for on chain

285
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upgrades. 
Great. 

286
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But for oceans needs, you know, 
fully permissionless at the 

287
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substrate level. 
And permissionless at the Smart 

288
00:15:18,000 --> 00:15:19,200
contract level is what makes 
sense. 

289
00:15:19,200 --> 00:15:22,500
And that's where right now. 
Cool, let's come back to this 

290
00:15:22,500 --> 00:15:24,700
idea of the, the shadow data 
economy. 

291
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Can you describe in your view? 
What that means, and what that 

292
00:15:27,700 --> 00:15:31,000
looks like and you know for for 
for people who perhaps are, I 

293
00:15:31,000 --> 00:15:34,200
mean I'm sure our listeners are 
all very aware of, you know, the

294
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issues that exist with regards 
to people's data and you know 

295
00:15:37,400 --> 00:15:39,800
you talked about the social debt
on my I watch that movie just 

296
00:15:39,800 --> 00:15:44,200
this week, describe what the 
problem is here and what lurks 

297
00:15:44,200 --> 00:15:49,500
in the shadows if you will. 
The big problem overall is that 

298
00:15:49,600 --> 00:15:55,800
our personal sovereignty is at 
risk and by that, I mean, our 

299
00:15:55,800 --> 00:16:03,400
ability to take action and make 
decisions without fear of 

300
00:16:03,800 --> 00:16:07,000
basically oppression or, you 
know, negative things happening 

301
00:16:07,000 --> 00:16:09,800
to us. 
And that sounds very kind of 

302
00:16:09,800 --> 00:16:11,900
Broad and vague and it kind of 
is, but then you can kind of 

303
00:16:11,908 --> 00:16:14,700
drill into what this means. 
There's a quote from the World 

304
00:16:14,700 --> 00:16:17,000
Bank at two or three years ago 
that says, you know, Digital 

305
00:16:17,000 --> 00:16:22,400
economy is the data economy and 
that reflects this idea that as 

306
00:16:22,400 --> 00:16:26,000
you know, with every passing 
your the world is becoming more 

307
00:16:26,000 --> 00:16:29,900
and more digital and what's 
powering the digital world is, 

308
00:16:29,900 --> 00:16:33,100
you know, data itself and so 
there's sort of this data 

309
00:16:33,100 --> 00:16:37,300
flowing everywhere but we 
haven't really given it its due.

310
00:16:37,300 --> 00:16:40,500
In terms of this super important
thing that we have to keep tabs 

311
00:16:40,500 --> 00:16:43,800
on and because of that, you 
know, the average citizen 

312
00:16:43,800 --> 00:16:45,100
doesn't want to think about it, 
you know. 

313
00:16:45,100 --> 00:16:46,500
They just want to share photos 
and stuff. 

314
00:16:46,600 --> 00:16:49,100
And I get that, that makes tons 
of sense, but the thing is 

315
00:16:49,100 --> 00:16:51,600
there's businesses that have 
emerged that real on that take 

316
00:16:51,600 --> 00:16:53,400
advantage of this. 
It's an Arbitrage. 

317
00:16:53,600 --> 00:16:56,400
So they understand that citizens
don't know about this or 

318
00:16:56,400 --> 00:16:58,800
citizens kind of have given up 
on them, even if they do know 

319
00:16:58,800 --> 00:17:00,200
about it, they can't do anything
about it. 

320
00:17:00,700 --> 00:17:03,000
So these companies say okay, 
well let's take, you know, group

321
00:17:03,000 --> 00:17:05,300
these people into a thousand or 
a million or a billion people, 

322
00:17:05,599 --> 00:17:08,000
and then mine that data, and 
then, use that to sell stuff 

323
00:17:08,000 --> 00:17:10,599
back at them, or basically 
change their decision-making 

324
00:17:10,599 --> 00:17:12,300
Behavior somehow sometime, 
right? 

325
00:17:12,700 --> 00:17:14,200
And it's at the level of the 
company. 

326
00:17:14,200 --> 00:17:16,000
It's also at the level of the 
nation, right? 

327
00:17:17,200 --> 00:17:19,500
There's interplays as well. 
You know there's companies out 

328
00:17:19,500 --> 00:17:22,700
there and individuals and 
organizations that try to sway 

329
00:17:22,700 --> 00:17:25,700
election results, right by 
leveraging data and various 

330
00:17:25,700 --> 00:17:28,000
ways. 
So there you know there there 

331
00:17:28,000 --> 00:17:30,500
have been flows of data for a 
long time, going back to, you 

332
00:17:30,500 --> 00:17:32,700
know, even before the early days
of the PC, you know, from the 

333
00:17:32,700 --> 00:17:35,300
birth of the computer, but it 
hasn't mattered for a long time 

334
00:17:35,300 --> 00:17:37,700
because we simply hadn't. 
Haven't had the scale and even 

335
00:17:37,700 --> 00:17:39,500
on the internet, the early days,
it was so small, it didn't 

336
00:17:39,500 --> 00:17:40,800
matter. 
People hadn't figured this out 

337
00:17:40,800 --> 00:17:43,000
yet. 
But you know, starting in the 

338
00:17:43,000 --> 00:17:46,500
sort of early 2000s, that's one 
sort of AI people realize that 

339
00:17:46,600 --> 00:17:47,900
Data was really really 
important. 

340
00:17:48,100 --> 00:17:50,100
And then, you know, Google 
themselves published this paper 

341
00:17:50,100 --> 00:17:52,400
in about 2007, called the 
unreasonable effectiveness of 

342
00:17:52,400 --> 00:17:55,600
data, realizing that okay. 
If they can actually get more 

343
00:17:55,600 --> 00:17:59,500
data than they can have more 
accurate am models, which 

344
00:17:59,500 --> 00:18:01,300
basically turns into money for 
them, right? 

345
00:18:01,500 --> 00:18:05,500
And the problem is that, there 
they are intent of misaligned 

346
00:18:05,500 --> 00:18:08,300
between the people and Google, 
there's an incentive 

347
00:18:08,300 --> 00:18:11,200
misalignment between the people 
and Facebook. 

348
00:18:11,200 --> 00:18:12,800
Why? 
Because of ads, right? 

349
00:18:13,100 --> 00:18:15,500
In their case, they're trying to
sell more ads, which basically 

350
00:18:15,500 --> 00:18:16,500
means, you know, learning as 
much. 

351
00:18:16,600 --> 00:18:19,200
You, but you can so you can be 
as so that the ads can be as 

352
00:18:19,200 --> 00:18:24,300
targeted as possible and that, 
of course, so they're trying to 

353
00:18:24,308 --> 00:18:26,800
gather as much data as they can.
The state, of course, is also 

354
00:18:26,800 --> 00:18:30,600
flowing into prism excetera. 
You know, after the Snowden 

355
00:18:30,600 --> 00:18:33,300
Revelations, it's not like 
prison went away, the government

356
00:18:33,300 --> 00:18:35,000
double down and there's a 10x 
100x there. 

357
00:18:35,400 --> 00:18:39,500
So our decisions are getting 
shaped more and more and more by

358
00:18:39,600 --> 00:18:42,900
companies with a profit motive 
that is against their interests 

359
00:18:42,900 --> 00:18:45,400
and you it's very very subtle, 
right? 

360
00:18:45,400 --> 00:18:47,300
Like Sure. 
Does it. 

361
00:18:47,500 --> 00:18:50,000
Facebook doesn't Google does it 
all this Instagram? 

362
00:18:50,000 --> 00:18:52,800
All these. 
It's unfortunate this way and it

363
00:18:53,000 --> 00:18:56,200
affects, you know, our decision 
making ability, but like I said,

364
00:18:56,200 --> 00:18:58,300
it doesn't stop there, right? 
It's not just, you know, okay? 

365
00:18:58,300 --> 00:19:00,700
You might see these things there
and might change your thought, 

366
00:19:00,700 --> 00:19:03,800
but it actually affect the 
outcomes of Elections, which 

367
00:19:03,800 --> 00:19:09,400
then leads to, you know, 
president's being hired who then

368
00:19:09,600 --> 00:19:12,700
lead to basically ignoring 
pandemics, right? 

369
00:19:12,800 --> 00:19:14,500
And you have a quarter of a 
million, you know, you have more

370
00:19:14,500 --> 00:19:17,000
people killed in depend, Emma. 
Can you know, It's in the 

371
00:19:17,000 --> 00:19:20,900
Vietnam War and this is one of 
the big levers that affected. 

372
00:19:20,900 --> 00:19:24,300
This is because of this 
interplay between data and 

373
00:19:24,300 --> 00:19:26,100
profit motives and this 
misalignment of incentives. 

374
00:19:26,500 --> 00:19:30,900
So so that's kind of like the 
sort of the problem we're trying

375
00:19:30,900 --> 00:19:34,000
to solve from the perspective 
of, you know, it's a 

376
00:19:34,100 --> 00:19:37,400
misalignment of incentives and 
so on around data and you can 

377
00:19:37,400 --> 00:19:38,700
view it as sort of a tear it 
down thing. 

378
00:19:38,700 --> 00:19:41,600
But I also like to view things 
in sort of a Build It Up way. 

379
00:19:41,700 --> 00:19:44,300
And I really prefer that this is
where I see. 

380
00:19:44,500 --> 00:19:47,600
Okay, what's the A way for 
people to think about this. 

381
00:19:47,600 --> 00:19:51,300
And it really comes down to not 
your keys, not your data, your 

382
00:19:51,300 --> 00:19:53,300
keys, your data. 
So riffing on andreea, Central 

383
00:19:53,300 --> 00:19:56,100
Antonopoulos on the Bitcoin, 
quote and this basically means 

384
00:19:56,100 --> 00:19:58,700
sovereignty over your personal 
data, right? 

385
00:19:58,700 --> 00:20:00,300
So you should be able to control
your data. 

386
00:20:00,300 --> 00:20:04,400
You should be able to choose who
sees what when, you know, this 

387
00:20:04,400 --> 00:20:06,300
also has the side effect of 
controlling privacy privacy, 

388
00:20:06,300 --> 00:20:08,500
really is just about the shape 
of information flows, right? 

389
00:20:08,500 --> 00:20:10,500
And that comes down to a 
question of access control. 

390
00:20:10,500 --> 00:20:13,500
So if you do that at an 
individual level, then you can 

391
00:20:13,500 --> 00:20:16,200
also group it into higher and 
higher level groups, families. 

392
00:20:16,600 --> 00:20:21,200
Companies, larger companies 
Enterprises cities and even 

393
00:20:21,200 --> 00:20:23,300
nation's needs, right? 
And they're all grappling with 

394
00:20:23,300 --> 00:20:25,300
this. 
So if you can give them the 

395
00:20:25,300 --> 00:20:29,600
tools to control and shape, the 
flow of information about them 

396
00:20:29,600 --> 00:20:32,200
and about the things around 
them, then it can lead us 

397
00:20:32,200 --> 00:20:35,000
towards where there is not 
incentive misalignment and in 

398
00:20:35,008 --> 00:20:37,800
fact there's incentive alignment
where, you know, if they share 

399
00:20:37,800 --> 00:20:40,800
more in a healthy way and so on,
then they can actually you get 

400
00:20:40,800 --> 00:20:42,500
rewarded. 
And that's really the sort of 

401
00:20:42,500 --> 00:20:45,700
Build It Up. 
Vision of ocean is about, you 

402
00:20:45,700 --> 00:20:49,000
know. 
Tools for control of your data 

403
00:20:49,100 --> 00:20:52,300
at a personal level, all the way
up to a national level in a way 

404
00:20:52,300 --> 00:20:55,900
that helps to serve data 
sovereignty. 

405
00:20:57,000 --> 00:21:01,200
I think that incentive 
misalignment is Sookie and I 

406
00:21:01,200 --> 00:21:02,800
think a good way to sum it up, 
right? 

407
00:21:02,800 --> 00:21:06,600
If you kind of go up, you go up 
the stack of this problem and is

408
00:21:06,600 --> 00:21:09,100
kind of fresh in my memory. 
But like I think the social time

409
00:21:09,100 --> 00:21:12,500
I'm a documentary that I watched
earlier this week kind of sums 

410
00:21:12,500 --> 00:21:15,500
it up pretty well or at least it
makes a good attempt at 

411
00:21:15,500 --> 00:21:18,100
explaining it. 
In layman's terms, social 

412
00:21:18,100 --> 00:21:21,600
networks platforms who that 
control large amounts of data 

413
00:21:22,100 --> 00:21:25,000
are incentivized to use. 
While the model that was created

414
00:21:25,000 --> 00:21:26,600
around that data is to sell 
advertising. 

415
00:21:27,500 --> 00:21:30,700
The advertising is sold to 
companies that want access to 

416
00:21:30,700 --> 00:21:33,100
people's information in order to
Target those customers more 

417
00:21:33,100 --> 00:21:37,700
effectively and at the same time
the companies that hold the data

418
00:21:37,700 --> 00:21:41,000
are incentivized to keep their 
users on the longest as 

419
00:21:41,000 --> 00:21:42,700
possible. 
Because that's how they maximize

420
00:21:42,700 --> 00:21:45,100
profit on the advertising side 
of that Marketplace. 

421
00:21:45,600 --> 00:21:50,500
The way that they achieve that 
goal of keeping the people on 

422
00:21:51,000 --> 00:21:54,600
the platform's, the longest well
that goal was somewhat 

423
00:21:54,600 --> 00:21:56,700
discovered by Machine learning 
algorithms. 

424
00:21:56,900 --> 00:21:59,500
There's Get out that the best 
way to keep people on the 

425
00:21:59,500 --> 00:22:01,600
longest is the show them 
outrageous shit. 

426
00:22:01,700 --> 00:22:05,200
That sends them into, you know, 
that essentially divides people 

427
00:22:05,900 --> 00:22:09,300
that has an effect on, you know,
you, we talk about sovereignty, 

428
00:22:09,300 --> 00:22:11,100
right? 
You talk about people's 

429
00:22:11,400 --> 00:22:14,100
sovereignty. 
Well, I mean that exists at a 

430
00:22:14,108 --> 00:22:17,600
conceptual level the risks. 
There at a conceptual level is 

431
00:22:17,600 --> 00:22:22,200
sovereignty also in a general 
sense as in the sovereignty of 

432
00:22:22,200 --> 00:22:27,100
societies and countries Etc, 
because people who are divided, 

433
00:22:27,200 --> 00:22:31,900
Obviously, our are more 
vulnerable and at-risk and I 

434
00:22:31,908 --> 00:22:35,300
think it's a huge problem that 
if you get really into the weeds

435
00:22:35,300 --> 00:22:38,500
of, it's like, okay, well, 
incentive alignments are broken 

436
00:22:38,500 --> 00:22:41,000
here. 
Well, you know, is it platforms 

437
00:22:41,000 --> 00:22:43,200
or is it simply the model? 
Is it capitalism? 

438
00:22:43,200 --> 00:22:46,600
That's that's broken in this 
particular model. 

439
00:22:46,900 --> 00:22:49,400
It's kind of like a it's sort of
a chicken or the egg problem 

440
00:22:49,400 --> 00:22:54,200
here, but I wonder if as long as
there is sort of unfettered 

441
00:22:54,200 --> 00:22:58,000
capitalism and unregulated 
capitalism If this will ever 

442
00:22:58,300 --> 00:23:01,300
change, and if there will be 
better models, that emerge, of 

443
00:23:01,308 --> 00:23:02,800
course. 
I ocean protocol is one antidote

444
00:23:02,800 --> 00:23:05,300
to that. 
Yeah, I have a couple answers to

445
00:23:05,300 --> 00:23:08,200
that. 
So, I mean, one thing that 

446
00:23:08,200 --> 00:23:12,300
capitalism recognizes that is 
super unhealthy for any Market 

447
00:23:12,500 --> 00:23:16,000
is monopolies, right? 
So that's why the Sherman 

448
00:23:16,000 --> 00:23:18,500
Antitrust law was brought out 
and then after a couple decades,

449
00:23:18,500 --> 00:23:21,900
they finally gave a teeth and 
that's what broke up, the all 

450
00:23:21,900 --> 00:23:24,800
the different pieces of 
Rockefellers Empire for example,

451
00:23:25,000 --> 00:23:27,800
as well as led to the breakup of
AT&T Int and so on, we have 

452
00:23:27,800 --> 00:23:30,600
companies that are now far 
larger and more dominant than 

453
00:23:30,800 --> 00:23:32,900
basically, you know, the u.s. 
deals of the world back in the 

454
00:23:32,900 --> 00:23:37,700
day, yet, the The Regulators 
have forgotten that they can 

455
00:23:37,700 --> 00:23:40,000
actually apply this tool to 
address this. 

456
00:23:40,200 --> 00:23:43,100
And that's, that's an issue. 
So, this is basically not a, 

457
00:23:43,108 --> 00:23:44,500
that's not a problem of 
capitalism per se. 

458
00:23:44,500 --> 00:23:47,900
It's a problem with the 
enforcement of antitrust. 

459
00:23:48,000 --> 00:23:50,100
So that's one piece of the tool.
I want to mention the other one,

460
00:23:50,100 --> 00:23:55,100
which is to me the happier 
answer and it's coops. 

461
00:23:55,100 --> 00:23:58,400
So, I grew up in rural. 
Out of that, where the local 

462
00:23:58,400 --> 00:24:01,600
grocery store was a co-op. 
It's literally called The Coop. 

463
00:24:02,100 --> 00:24:03,800
We had those two. 
They're all closed down. 

464
00:24:04,200 --> 00:24:05,600
Oh, wow. 
Yeah, yeah, yeah. 

465
00:24:05,600 --> 00:24:08,300
Well, and the local bank was 
called the credit union and that

466
00:24:08,300 --> 00:24:11,800
was the main bank where I grew 
up and, and basically, there was

467
00:24:11,800 --> 00:24:15,900
kind of cool apps for everything
and these coops allowed, you 

468
00:24:15,900 --> 00:24:19,700
know, a thousand, ten thousand 
people in the area, to each 

469
00:24:19,700 --> 00:24:24,100
collectively owned, that grocery
store for example, and then get 

470
00:24:24,100 --> 00:24:26,000
the dividends from the grocery 
store and it was acting in the 

471
00:24:26,008 --> 00:24:27,500
best. 
Insurance to the people and 

472
00:24:27,500 --> 00:24:28,800
making a bit of profit on the 
side. 

473
00:24:28,800 --> 00:24:30,700
That's a very healthy thing. 
There's another thing in 

474
00:24:30,708 --> 00:24:33,200
Saskatchewan, in fact, at the 
time, I think was to learn one 

475
00:24:33,200 --> 00:24:35,100
of the largest co-ops in the 
world, if not, the largest 

476
00:24:35,200 --> 00:24:36,800
called the Saskatchewan, we pool
it. 

477
00:24:36,800 --> 00:24:40,300
Had I believe on the order of 
100,000 Farmers as members, and 

478
00:24:40,300 --> 00:24:42,200
what it was, was collective 
bargaining performers. 

479
00:24:42,200 --> 00:24:45,000
So you sell your wheat and your 
Burly to the Saskatchewan. 

480
00:24:45,000 --> 00:24:48,000
Cool. 
Then it goes as a large entity, 

481
00:24:48,200 --> 00:24:50,700
it ships, things by train to the
port's it ships. 

482
00:24:50,700 --> 00:24:53,800
Things by ship to Asia and 
everywhere else through the 

483
00:24:53,808 --> 00:24:55,900
ports. 
It does the marketing, etc, etc,

484
00:24:55,900 --> 00:24:57,800
etc. 
It was a win-win, right? 

485
00:24:58,000 --> 00:25:00,600
The farmers basically got some 
dividends from the Saskatchewan,

486
00:25:00,600 --> 00:25:03,800
we pool, and they had a market 
for the green. 

487
00:25:03,800 --> 00:25:07,000
They had distribution all of 
this and it served everyone. 

488
00:25:07,000 --> 00:25:10,100
So this is actually a capitalist
notion, but it's capitalist 

489
00:25:10,100 --> 00:25:12,700
saying cooperation is a good 
thing, right? 

490
00:25:12,800 --> 00:25:16,900
And what I really love about the
blockchain space is that it 

491
00:25:16,900 --> 00:25:19,700
makes things like this much 
easier to implement as well as 

492
00:25:19,700 --> 00:25:22,900
experiment with right to have, 
you know, Collective 

493
00:25:22,900 --> 00:25:26,200
organization of people towards 
the betterment of that. 

494
00:25:26,300 --> 00:25:28,100
Of people write in the form of 
dowsing. 

495
00:25:28,100 --> 00:25:30,600
Otherwise, right. 
That's my kind of two answers. 

496
00:25:30,600 --> 00:25:32,800
I don't think we need to rethink
capitalism. 

497
00:25:32,800 --> 00:25:35,700
There's been a lot of calls for 
that, and even if we did need to

498
00:25:35,708 --> 00:25:37,800
rethink, I think it'd be very, 
very hard the way it is. 

499
00:25:37,800 --> 00:25:42,300
But instead we can say, okay on 
one side make sure that, you 

500
00:25:42,308 --> 00:25:45,700
know, antitrust is a respected 
and you know, the privacy laws 

501
00:25:45,700 --> 00:25:48,200
of Europe Etc. 
And another hand double down and

502
00:25:48,200 --> 00:25:50,000
co-ops, right? 
And I think they could actually 

503
00:25:50,000 --> 00:25:55,400
become much more common in this 
new age, given how much easier 

504
00:25:55,400 --> 00:25:58,200
it is to form them. 
The in the world of blockchain, 

505
00:25:58,200 --> 00:26:01,000
you know, like we're seeing for 
example, the first Venture 

506
00:26:01,000 --> 00:26:03,300
Capital firms that are Dows that
are actually truly working, 

507
00:26:03,300 --> 00:26:05,600
right? 
I'm a member of medical Ventures

508
00:26:05,600 --> 00:26:09,300
and it's an amazing organism to 
observe. 

509
00:26:10,500 --> 00:26:13,500
So let's talk about ocean, 
protocols, switch gears a bit 

510
00:26:13,500 --> 00:26:18,200
and so describe what what is 
ocean protocol and what does it 

511
00:26:18,200 --> 00:26:22,400
try to achieve? 
Yeah, so I guess the goals are 

512
00:26:22,400 --> 00:26:25,600
like, mentioned address, some of
the issues around data in 

513
00:26:25,600 --> 00:26:28,800
society, misalignment, of 
incentives, as well as give 

514
00:26:28,800 --> 00:26:33,300
tools for empowerment of people 
at the level of individuals, 

515
00:26:33,400 --> 00:26:36,000
families, all the way up to 
levels of cities and Nations, 

516
00:26:36,000 --> 00:26:37,600
right? 
Okay. 

517
00:26:37,700 --> 00:26:39,700
And perhaps in the in the 
context of what we're talking 

518
00:26:39,700 --> 00:26:42,500
earlier, in the model, how does 
ocean sort of flipped the the 

519
00:26:42,500 --> 00:26:44,000
model that we were describing 
earlier? 

520
00:26:45,100 --> 00:26:48,000
At the heart of it it's you know
your keys your data, right. 

521
00:26:48,200 --> 00:26:52,600
And then you can choose how to 
share that where but also you 

522
00:26:52,600 --> 00:26:55,900
can turn this data into an asset
if you like right. 

523
00:26:55,900 --> 00:26:59,100
Because, you know, the way we 
view it data is IP just like, 

524
00:26:59,100 --> 00:27:03,400
you know, if you write a song 
and record it, then that is a 

525
00:27:03,400 --> 00:27:06,900
piece of Ip that you, then you 
can monetize via music 

526
00:27:06,900 --> 00:27:09,600
Publishers, Etc, or via Spotify,
whatever you want, right? 

527
00:27:09,700 --> 00:27:13,400
Same thing with books or 
podcasts or whatever, so data 

528
00:27:13,900 --> 00:27:17,300
falls into that same, Corey and 
of course, data is useful, in 

529
00:27:17,300 --> 00:27:21,900
the sense of, you know, people 
who build AI models need data, 

530
00:27:21,900 --> 00:27:24,800
in order to make those models 
accurate, they need more data. 

531
00:27:25,100 --> 00:27:27,400
And once those models are 
accurate enough, then they can 

532
00:27:27,400 --> 00:27:30,200
monetize it. 
In various ways, you know more, 

533
00:27:30,600 --> 00:27:33,900
you know, safer, self-driving 
cars, more efficient traffic 

534
00:27:33,900 --> 00:27:37,000
lights, a lot of kind of all 
most mundane things. 

535
00:27:37,000 --> 00:27:39,700
But the stuff matter is showing 
so ocean. 

536
00:27:39,700 --> 00:27:43,000
Basically, at the heart then is 
a set of tools to make this 

537
00:27:43,000 --> 00:27:45,900
easier to do at the heart. 
But it's access control. 

538
00:27:46,200 --> 00:27:51,300
So basically, it makes it easy 
for people to establish a data 

539
00:27:51,600 --> 00:27:53,700
set or data service, as an 
asset. 

540
00:27:53,900 --> 00:27:57,400
And then to share share that 
asset or sell it transfer it. 

541
00:27:57,400 --> 00:27:59,900
Whatever, where there's 
permissioning around it and the 

542
00:27:59,908 --> 00:28:03,900
way that we do that, as of the 
most recent release of ocean V3,

543
00:28:04,200 --> 00:28:07,800
the way we do it is every single
date of service is its own ear, 

544
00:28:07,800 --> 00:28:12,700
C20 data token, and by using 
that we leverage the full 

545
00:28:12,700 --> 00:28:14,600
infrastructure of ethereum. 
There's a lot of really cool. 

546
00:28:14,800 --> 00:28:19,200
Applications and it also serves 
as you know at the heart, it's 

547
00:28:19,200 --> 00:28:21,400
Access Controller, right? 
So it's sort of like, you know, 

548
00:28:21,400 --> 00:28:24,000
socks, you know with you know 
socks you can buy point one unit

549
00:28:24,000 --> 00:28:27,300
socks, you can buy 150 point 
three unit socks, but if you 

550
00:28:27,308 --> 00:28:30,300
have 1.0 unit socks and send 
that those to the unit swap 

551
00:28:30,300 --> 00:28:34,100
team, then they will mail you 
back in the physical mail, your 

552
00:28:34,300 --> 00:28:38,400
pair of physical socks and so 
you are, you can redeem those 

553
00:28:38,400 --> 00:28:42,000
unit socks with that pair, same 
thing with data tokens, you can 

554
00:28:42,000 --> 00:28:46,200
send 1.0 data tokens to the 
publisher of That data asset and

555
00:28:46,200 --> 00:28:48,600
in return, they will give you 
access to that data asset. 

556
00:28:48,600 --> 00:28:50,400
You know, you can still 
speculate, you can buy point one

557
00:28:50,400 --> 00:28:52,700
data tokens, you can buy 100 of 
them whatever you want. 

558
00:28:52,700 --> 00:28:55,500
But in terms of redeeming 
getting Access Control, it's 

559
00:28:55,500 --> 00:28:58,500
that magic number of 1.0. 
So that's maybe a good summary. 

560
00:28:58,500 --> 00:29:02,800
Ocean is a set of tools to 
enable the web three data 

561
00:29:02,800 --> 00:29:07,400
economy which is all about open 
while reconciling privacy. 

562
00:29:08,200 --> 00:29:12,200
You talked about that every data
set is an ethereal nerc, 20 

563
00:29:12,200 --> 00:29:14,600
token. 
What is a data set help. 

564
00:29:14,800 --> 00:29:17,400
To understand what that means 
specifically. 

565
00:29:17,600 --> 00:29:20,300
So there's it's every day to 
survive so data services can be 

566
00:29:20,300 --> 00:29:23,200
data sets or yeah. 
So also with a data set though, 

567
00:29:23,200 --> 00:29:27,200
it could be some via PDF, it 
could be a spreadsheet or, you 

568
00:29:27,200 --> 00:29:29,200
know, the machine learning 
version, which is a CSV file. 

569
00:29:29,500 --> 00:29:34,000
It could be a piece of music, it
could be 10 gigabytes worth of 

570
00:29:34,000 --> 00:29:36,100
worth of files, but behind a 
directory. 

571
00:29:36,100 --> 00:29:40,100
So, in Ocean, we actually have, 
it's quite General. 

572
00:29:40,100 --> 00:29:43,400
So you basically are simply 
selling a you. 

573
00:29:43,900 --> 00:29:46,600
Well, we have a A few different 
ways of defining a data service 

574
00:29:46,600 --> 00:29:49,400
and it's flexible and it's going
to expand over time to start 

575
00:29:49,400 --> 00:29:50,500
with. 
There are two, one of them is a 

576
00:29:50,500 --> 00:29:54,700
static URL, where it could be 
basically say a CSV file that 

577
00:29:54,700 --> 00:30:00,100
you have sitting on Google Drive
and you then sell access to that

578
00:30:00,100 --> 00:30:04,100
CSV file, as defined by that URL
sitting on Google Drive and of 

579
00:30:04,100 --> 00:30:05,700
course you can be a 
decentralized network as well. 

580
00:30:06,100 --> 00:30:09,000
So that's one example. 
The second example of a data 

581
00:30:09,000 --> 00:30:12,200
service that we support is this 
is in the Privacy preserving 

582
00:30:12,200 --> 00:30:17,400
angle is computer to data. 
So Rather than someone getting a

583
00:30:17,400 --> 00:30:21,000
URL and then downloading that 
CSV or whatever, instead it's 

584
00:30:21,000 --> 00:30:23,900
saying I'm going, I'm a 
publisher, maybe I'm a big 

585
00:30:23,900 --> 00:30:25,900
Enterprise. 
I'm going to sell my date my 

586
00:30:25,900 --> 00:30:27,700
data, but people aren't going to
download it. 

587
00:30:27,700 --> 00:30:31,000
Rather, they can go and run an 
algorithm right next to my data.

588
00:30:31,400 --> 00:30:34,200
And maybe just do computer 
simple average from a particular

589
00:30:34,200 --> 00:30:37,100
column or a median or maybe 
something, fancier building a 

590
00:30:37,108 --> 00:30:39,300
linear model or maybe a fancy 
deep learning model, whatever, 

591
00:30:39,300 --> 00:30:42,000
right? 
So those are the two Services 

592
00:30:42,000 --> 00:30:44,900
right now is types of data 
services that ocean supports And

593
00:30:44,900 --> 00:30:48,300
with time, we will support more 
and more and more streaming data

594
00:30:48,300 --> 00:30:52,800
is coming down the pipe as one 
of the most important ones. 

595
00:30:53,000 --> 00:30:55,500
We see that this thing can get 
the can be dozens or even 

596
00:30:55,500 --> 00:30:57,600
hundreds of these things. 
So that's what, that's what we 

597
00:30:57,600 --> 00:31:00,300
mean. 
And ocean itself is sufficiently

598
00:31:00,300 --> 00:31:02,400
General. 
These data tokens their ear, she

599
00:31:02,400 --> 00:31:05,900
20 with one extra field called 
blob where it's just a string. 

600
00:31:05,900 --> 00:31:08,200
Basically, a bunch of 
information inside, and that 

601
00:31:08,200 --> 00:31:10,100
basically helps to support the 
various types of service 

602
00:31:10,100 --> 00:31:13,500
provisions. 
So you mentioned something that 

603
00:31:13,500 --> 00:31:17,400
I'd like to touch on, you said 
that the data can be stored on 

604
00:31:17,400 --> 00:31:21,500
Google Drive when one thinks of,
you know, the decentralized data

605
00:31:21,500 --> 00:31:24,100
Marketplace that we wish to 
have. 

606
00:31:24,400 --> 00:31:27,600
I don't think that storing data 
on like traditional Cloud 

607
00:31:27,600 --> 00:31:29,900
platforms is the first thing 
that comes to mind. 

608
00:31:30,200 --> 00:31:33,700
I mean in terms of availability,
censorship resistance privacy, 

609
00:31:33,700 --> 00:31:36,400
Etc. 
You know, help us understand the

610
00:31:36,400 --> 00:31:39,300
the choice. 
They're of storing data on these

611
00:31:39,300 --> 00:31:41,600
platforms and what kinds of 
things. 

612
00:31:41,800 --> 00:31:45,900
Is ocean do to prevent some of 
the excesses that we've been 

613
00:31:45,900 --> 00:31:47,800
talking about it since a while 
ago or well? 

614
00:31:47,800 --> 00:31:50,600
I mean, I think of the day you 
have to be pragmatic about 

615
00:31:50,700 --> 00:31:52,900
understanding. 
You know, what tools people are 

616
00:31:52,908 --> 00:31:55,100
using right now and then 
providing a bridge to them to 

617
00:31:55,100 --> 00:31:58,100
sort of you know what? 
Walk them bit by bit over this 

618
00:31:58,100 --> 00:32:00,500
bridge. 
It's not like you know, you snap

619
00:32:00,500 --> 00:32:03,100
your fingers and suddenly you're
in a full permission list, 

620
00:32:03,100 --> 00:32:06,100
decentralized world with the 
whole planet behind you, right? 

621
00:32:06,300 --> 00:32:07,900
I should mention the, as you 
mentioned open market. 

622
00:32:07,900 --> 00:32:10,900
So overall ocean is these tools,
which is smart contracts as well

623
00:32:10,900 --> 00:32:13,000
as libraries python. 
In JavaScript libraries, and 

624
00:32:13,000 --> 00:32:15,500
then react on top. 
And then on top of that, we've 

625
00:32:15,500 --> 00:32:18,700
shipped something that's a 
consumer facing web app called 

626
00:32:18,700 --> 00:32:21,500
Ocean Market. 
And it is a place where people 

627
00:32:21,500 --> 00:32:23,900
can go market ocean protocol to 
calm. 

628
00:32:24,200 --> 00:32:27,900
It's a place where people can go
to publish data assets and to 

629
00:32:27,900 --> 00:32:30,700
consume them like, once you buy 
them and of course, you know 

630
00:32:30,700 --> 00:32:33,300
swap back and forth trade on 
them and you can even stay clean

631
00:32:33,300 --> 00:32:35,700
them and I can get into that a 
bit later. 

632
00:32:36,100 --> 00:32:39,500
So then towards your question, 
if you think, okay, how do we 

633
00:32:39,500 --> 00:32:41,000
make Ocean Market? 
Easy to use? 

634
00:32:41,000 --> 00:32:43,100
Right for people. 
It's went through NATO. 

635
00:32:43,100 --> 00:32:45,700
You know, you sign in basically 
by connecting your wallet, 

636
00:32:45,700 --> 00:32:49,500
that's all all that. 
But for people that aren't 

637
00:32:49,500 --> 00:32:53,000
running their own, you know, 
hosted service with datasets. 

638
00:32:53,000 --> 00:32:55,200
How can they actually share 
their data? 

639
00:32:55,200 --> 00:32:58,100
You know, maybe they don't know 
about file coin or three rooms 

640
00:32:58,100 --> 00:33:00,300
warm or anything just yet or 
don't know how to use it. 

641
00:33:00,300 --> 00:33:02,700
But they do know that they have 
a bunch of data on Google Drive 

642
00:33:02,700 --> 00:33:07,000
or Dropbox or something, right? 
So you make it easy for them to 

643
00:33:07,000 --> 00:33:08,800
publish their data. 
And you might say, well that's 

644
00:33:08,800 --> 00:33:10,800
not decentralized. 
The thing is, this is at the 

645
00:33:10,800 --> 00:33:12,100
very Leaf node. 
Right? 

646
00:33:12,100 --> 00:33:15,000
So it's that one single person 
that has that data. 

647
00:33:15,300 --> 00:33:18,700
So the the connecting platform 
is decentralized on that, you 

648
00:33:18,700 --> 00:33:20,600
know, permissionless of the room
substrate as well as smart 

649
00:33:20,600 --> 00:33:23,400
contracts on top. 
But that one final person at the

650
00:33:23,400 --> 00:33:27,300
edge node is is centralized by 
nature of it being supplied by 

651
00:33:27,300 --> 00:33:29,600
that one person, right? 
So even if you say okay we're 

652
00:33:29,600 --> 00:33:31,700
going to organize this and 
stuff, it doesn't really help 

653
00:33:31,800 --> 00:33:33,700
because it's still one person 
supplying the data or one 

654
00:33:33,700 --> 00:33:35,900
entity, right? 
And that's okay, right? 

655
00:33:36,100 --> 00:33:38,300
If they are supplying the data 
and people don't want it, they 

656
00:33:38,300 --> 00:33:40,300
won't buy it if they're 
supplying the data and they do a

657
00:33:40,308 --> 00:33:42,900
bad job where they have 
Availability people will stop 

658
00:33:42,900 --> 00:33:44,900
buying, right? 
So they're incentivized to do a 

659
00:33:44,900 --> 00:33:47,400
good job there. 
And I do see though that, of 

660
00:33:47,408 --> 00:33:49,600
course, right? 
Like right now, people could 

661
00:33:50,500 --> 00:33:54,100
store something on Google Drive 
and Dropbox and a few other, you

662
00:33:54,100 --> 00:33:57,300
know, decentralized Services 
wrap it all up, make those all 

663
00:33:57,300 --> 00:34:00,400
pins with ipfs and then just 
give the ipfs hero, right? 

664
00:34:00,600 --> 00:34:03,400
So and that's a nice Bridge ipfs
serves as a great bridge because

665
00:34:03,400 --> 00:34:05,600
you can have storage on 
centralized and decentralized 

666
00:34:05,700 --> 00:34:08,300
storage mediums while at the 
same time, providing that single

667
00:34:08,300 --> 00:34:10,000
URL. 
So it's all about a bridge to 

668
00:34:10,000 --> 00:34:14,199
get people across Words 
eventually, this sort of public 

669
00:34:14,199 --> 00:34:18,199
utility Network infrastructure, 
where everything is 

670
00:34:18,199 --> 00:34:21,400
permissionless, including you 
know, the cloud storage Etc for 

671
00:34:21,400 --> 00:34:23,500
sort of all of humanity, but we 
have to get there one step at a 

672
00:34:23,500 --> 00:34:25,699
time. 
Great. 

673
00:34:25,699 --> 00:34:28,600
Yeah, I mean, I think that's a 
good approach to allowing people

674
00:34:28,600 --> 00:34:33,000
on board with more Simplicity, 
is to open it up to all the 

675
00:34:33,007 --> 00:34:36,500
different types of storage 
providers, that that exists. 

676
00:34:36,699 --> 00:34:39,900
And if within that, we also have
decentralized stores providers, 

677
00:34:39,900 --> 00:34:42,300
like, ipfs or PSI or some of 
these other ones. 

678
00:34:42,300 --> 00:34:44,699
And, you know, that at least 
provides Alternatives, so that 

679
00:34:45,199 --> 00:34:48,600
we can have that censorship 
resistance on option if we wish 

680
00:34:48,600 --> 00:34:50,199
to choose it. 
Exactly. 

681
00:34:50,199 --> 00:34:53,100
I'm just to add thereto. 
Like ocean doesn't care because 

682
00:34:53,100 --> 00:34:55,900
it's just about the URL, right? 
So people can provide Row, I can

683
00:34:55,900 --> 00:34:59,700
point to a surface oncea or and 
ipfs, which is wrapping some 

684
00:34:59,700 --> 00:35:02,000
other storage service, or a 
Google drive, or Dropbox 

685
00:35:02,000 --> 00:35:03,600
whatever. 
So ocean doesn't care. 

686
00:35:04,800 --> 00:35:08,300
So let's talk about the 
different stakeholders in Ocean.

687
00:35:08,400 --> 00:35:11,300
So, obviously there's like the 
owners of the data, those who 

688
00:35:11,300 --> 00:35:14,100
provide that data point that URL
you mentioned. 

689
00:35:14,500 --> 00:35:16,700
Then there's also those who 
verify the data. 

690
00:35:16,700 --> 00:35:19,800
There are the curators. 
Can you describe all of these 

691
00:35:19,800 --> 00:35:21,700
different participants, these 
different stakeholders? 

692
00:35:22,100 --> 00:35:25,100
And how are, how do they are 
incentives? 

693
00:35:25,100 --> 00:35:28,400
Aligned your to create this, 
this platform? 

694
00:35:28,700 --> 00:35:31,200
Absolutely. 
So, at the heart of it, you 

695
00:35:31,200 --> 00:35:34,200
know, the heart of the value 
creation is a publisher 

696
00:35:34,200 --> 00:35:36,200
publishes. 
Is a dataset and someone else 

697
00:35:36,200 --> 00:35:38,100
comes along and buys a data 
consumer. 

698
00:35:38,500 --> 00:35:41,400
So you want to connect those 
data, Publishers, 432 consumers,

699
00:35:41,400 --> 00:35:43,800
that's the heart and the data 
consumer, when they consume it 

700
00:35:44,000 --> 00:35:46,700
they're adding value to their 
business or otherwise, right? 

701
00:35:46,700 --> 00:35:50,800
So you want to make sure that 
that Loop is a solid connection.

702
00:35:51,100 --> 00:35:54,900
So, Ocean Market and the other 
markets that can be created and 

703
00:35:54,900 --> 00:35:57,700
in ideally that business is 
providing also value to the 

704
00:35:57,700 --> 00:35:59,800
publisher, right? 
It's sort of this closed loop 

705
00:36:00,000 --> 00:36:01,300
exactly. 
Well, this is the thing, right? 

706
00:36:01,300 --> 00:36:05,300
If data, consumer doesn't, you 
know, find Data that they buy 

707
00:36:05,300 --> 00:36:07,400
from the publisher is garbage. 
Then they'll just stop buying 

708
00:36:07,400 --> 00:36:09,200
from the publisher. 
So the publisher themself is 

709
00:36:09,200 --> 00:36:11,900
incentivized to create quality 
data, right? 

710
00:36:11,900 --> 00:36:14,600
The heart of capitalism frankly 
right in that way and that's 

711
00:36:14,600 --> 00:36:17,300
actually a good thing you know 
it aligns towards value 

712
00:36:17,300 --> 00:36:20,000
creation. 
That way in between is at the 

713
00:36:20,000 --> 00:36:22,600
lower level. 
Of course, the main actor is 

714
00:36:22,600 --> 00:36:26,500
simply the the connectivity of 
ocean at the, you know, 

715
00:36:26,500 --> 00:36:29,100
substrate-level if you remain at
right now, this more contract 

716
00:36:29,100 --> 00:36:32,000
level and then the marketplace 
is on top. 

717
00:36:32,000 --> 00:36:34,600
And, you know, we've shipped the
First Market Place ourselves As 

718
00:36:34,607 --> 00:36:37,700
as ocean protocol Foundation, 
which is it's called Ocean 

719
00:36:37,700 --> 00:36:39,400
Market. 
I mentioned it, and that's 

720
00:36:39,400 --> 00:36:42,900
basically, you know this, you 
can view it as a multi-sided 

721
00:36:42,900 --> 00:36:47,200
platform, where the two most 
critical participants are the 

722
00:36:47,200 --> 00:36:50,900
Publishers and the consumers, 
however, you want to Market to 

723
00:36:50,900 --> 00:36:52,900
form, you want price Discovery 
all of this, right? 

724
00:36:53,200 --> 00:36:55,700
And so forth. 
For Price Discovery, you need 

725
00:36:55,800 --> 00:37:00,100
the data services themselves to 
be sort of assets in a 

726
00:37:00,107 --> 00:37:03,900
first-class assets and within 
within a theorem, of course, you

727
00:37:03,900 --> 00:37:04,900
have kind of two. 
Choices. 

728
00:37:04,900 --> 00:37:06,500
You can make them. 
Non fungible are fungible. 

729
00:37:06,900 --> 00:37:08,800
But if you think about data, 
right? 

730
00:37:08,800 --> 00:37:12,600
When I'm a publisher publishing 
a data set, it's not just like 

731
00:37:12,600 --> 00:37:15,100
one person is consumed. 
You're going to have 10 100 

732
00:37:15,100 --> 00:37:17,400
1000, right? 
So it's clearly like I'm more 

733
00:37:17,400 --> 00:37:20,300
fungible thing. 
So so basically we have these 

734
00:37:20,300 --> 00:37:24,500
data tokens that are then there 
as assets and it's those that 

735
00:37:24,500 --> 00:37:26,500
flow from the publisher to 
Consumer. 

736
00:37:26,900 --> 00:37:30,000
Now you can say, okay well how 
does the let's say that the 

737
00:37:30,200 --> 00:37:33,100
consumer data consumer is 
looking at data sets but they 

738
00:37:33,100 --> 00:37:35,500
want to have a good feel for 
Like, what's a good data set? 

739
00:37:35,500 --> 00:37:37,900
Force is not, right? 
This is where curation comes in.

740
00:37:37,900 --> 00:37:42,700
So so how do you go about? 
You know, leveraging crypto 

741
00:37:42,700 --> 00:37:44,100
infrastructure for good 
curation. 

742
00:37:44,500 --> 00:37:47,100
Also, how do you go about 
leveraging crypto infrastructure

743
00:37:47,100 --> 00:37:48,700
for Price Discovery? 
Right? 

744
00:37:48,900 --> 00:37:50,300
And this is a question, we would
get again. 

745
00:37:50,300 --> 00:37:54,100
And again, and again in Ocean 
from, you know, from the very 

746
00:37:54,100 --> 00:37:58,800
earliest days 2016, 2017, to 
until basically shipping V3, 

747
00:37:58,800 --> 00:38:01,100
like, how do you set the price? 
And there's lots of lots of 

748
00:38:01,100 --> 00:38:02,400
theories about how to do this, 
right? 

749
00:38:02,600 --> 00:38:05,700
You know, you can have auctions,
you can Of royalties. 

750
00:38:06,200 --> 00:38:10,100
You can have order books. 
You can have automated market, 

751
00:38:10,100 --> 00:38:10,900
makers, etc. 
Etc. 

752
00:38:10,900 --> 00:38:14,800
Right, so what do you do? 
And we decided with all this, 

753
00:38:14,800 --> 00:38:20,900
that sort of taking a page from 
the the D5 Playbook, let's put 

754
00:38:20,900 --> 00:38:24,400
in an automated Market maker. 
So when someone goes to publish 

755
00:38:25,000 --> 00:38:28,900
their data set, it becomes a 
data asset, its own token, and 

756
00:38:28,900 --> 00:38:32,700
then in the same right after 
that, they have the option to 

757
00:38:33,000 --> 00:38:35,100
publish a pool. 
And so we've got balancer 

758
00:38:35,100 --> 00:38:37,800
technology under the hood. 
So they publish a pool that is 

759
00:38:37,800 --> 00:38:42,100
the data token and ocean token 
and they put in an issue of 

760
00:38:42,100 --> 00:38:44,600
liquidity of the ocean token and
now you actually have an 

761
00:38:44,600 --> 00:38:48,600
authentic price signal between 
basically as a ratio of the 

762
00:38:48,600 --> 00:38:51,300
number of data tokens to the 
number of ocean tokens in there.

763
00:38:51,800 --> 00:38:55,400
Other people can come in there 
and steak and also people can go

764
00:38:55,400 --> 00:38:57,800
in and swap back and forth. 
Ocean tokens for data tokens, 

765
00:38:57,800 --> 00:39:00,900
people can sneak in and stick to
the pool and you know the cool 

766
00:39:00,900 --> 00:39:04,000
thing about AMS automated market
makers. 

767
00:39:04,600 --> 00:39:06,800
Adding liquidity being on the 
credit provider is the same 

768
00:39:06,800 --> 00:39:08,100
thing as taking. 
Right. 

769
00:39:08,400 --> 00:39:10,400
This is very different than sort
of the previous idea. 

770
00:39:10,400 --> 00:39:12,800
I normally staking sort of locks
up and slows down the velocity 

771
00:39:12,800 --> 00:39:15,800
of tokens. 
But in a M&M's, the sort of 

772
00:39:15,800 --> 00:39:18,800
magical. 
Beautiful thing happens were by 

773
00:39:19,100 --> 00:39:21,700
providing liquidity. 
It's taking that actually 

774
00:39:21,700 --> 00:39:23,500
increases the velocity and the 
usefulness. 

775
00:39:23,900 --> 00:39:26,700
So this is actually what ocean 
Market has another hood is these

776
00:39:26,700 --> 00:39:30,100
balancer pools. 
And that's providing this, it's 

777
00:39:30,100 --> 00:39:33,600
basically helping to form this 
market around this specific data

778
00:39:33,600 --> 00:39:36,300
token, right? 
Write it in addition, if you 

779
00:39:36,308 --> 00:39:40,700
think about it, you know you go 
to balancer website or the unit 

780
00:39:40,700 --> 00:39:43,300
swap website and by default if 
you want to look at all the 

781
00:39:43,300 --> 00:39:47,700
pools, it will sort by which 
pools have the highest 

782
00:39:47,700 --> 00:39:51,100
liquidity. 
That's a really good proxy for 

783
00:39:51,100 --> 00:39:53,900
the quality of a given token, 
it's not perfect. 

784
00:39:54,200 --> 00:39:56,900
But for sure, you know, all the 
garbage spam stuff is at the 

785
00:39:56,908 --> 00:39:59,000
very very bottom with like two 
dollars liquidity. 

786
00:39:59,000 --> 00:40:01,800
So it's already gone and it's a 
pretty good first cut, right? 

787
00:40:01,800 --> 00:40:05,300
So that's actually also what 
ocean Itself. 

788
00:40:05,600 --> 00:40:07,800
If you think about it, by 
default, you got Ocean Market. 

789
00:40:07,800 --> 00:40:10,700
And it actually shows you a sort
of list based on the amount of 

790
00:40:10,707 --> 00:40:13,100
liquidity in there. 
So that's a signal for the 

791
00:40:13,100 --> 00:40:15,600
quality of a data set. 
It's really hard to arrive at a 

792
00:40:15,600 --> 00:40:17,000
perfect signal for quality of 
data set. 

793
00:40:17,000 --> 00:40:20,600
What you need to do is provide a
bunch of Statistics authentic 

794
00:40:20,600 --> 00:40:23,500
signals that people can use to 
assess whether a data set is 

795
00:40:23,500 --> 00:40:27,100
useful or not useful to consume,
but also useful to invest in, 

796
00:40:27,200 --> 00:40:29,400
right? 
And this is a key thing, you 

797
00:40:29,400 --> 00:40:31,300
know. 
So I'm going to mention those 

798
00:40:31,300 --> 00:40:34,000
sort of theirs in terms of the, 
the stakeholders in the system. 

799
00:40:34,100 --> 00:40:36,700
I've talked about About the the 
foundational ones which is the 

800
00:40:36,700 --> 00:40:40,700
the publisher and the consumer 
data consumer, there is the 

801
00:40:40,700 --> 00:40:43,100
liquidity providers which are 
the stickers which are the 

802
00:40:43,100 --> 00:40:45,600
curators. 
It's the same thing in Ocean and

803
00:40:45,800 --> 00:40:49,900
implicitly, they're also doing 
some soft speculation because 

804
00:40:50,200 --> 00:40:51,800
right now there's a 70/30. 
Wait. 

805
00:40:51,800 --> 00:40:55,600
So anytime someone steaks and 
one of these pools, it's 70%, 

806
00:40:55,600 --> 00:40:58,800
ocean 30% data token and that's 
simply because you know, to 

807
00:40:58,800 --> 00:41:01,200
avoid price fluctuations in to 
align incentives or bit better. 

808
00:41:01,600 --> 00:41:03,700
But besides that, you know, 
people can just purely 

809
00:41:03,700 --> 00:41:04,700
speculative things. 
Right? 

810
00:41:04,700 --> 00:41:06,700
They can invest in a data to 
look at and hold. 

811
00:41:06,700 --> 00:41:08,500
If they think that the person 
who is published the stage 

812
00:41:08,500 --> 00:41:10,800
token, is a high-quality person,
if they know them. 

813
00:41:10,800 --> 00:41:13,200
If they think that, you know, 
maybe they try out the dataset, 

814
00:41:13,200 --> 00:41:15,000
they see it as high quality 
great, they can buy it and they 

815
00:41:15,000 --> 00:41:17,600
can hold it. 
So, so basically, this is also a

816
00:41:17,600 --> 00:41:19,900
key question in the overall 
ecosystem. 

817
00:41:19,900 --> 00:41:24,400
And so at the end, you have the 
Publishers, the consumers, the 

818
00:41:24,400 --> 00:41:28,300
the LPS / curator / takers and 
the speculators. 

819
00:41:28,700 --> 00:41:31,700
And this is sort of the heart of
it and then you've got this 

820
00:41:31,700 --> 00:41:33,400
across many, many, many 
different data. 

821
00:41:33,400 --> 00:41:34,700
Token, / pool. 
Owls. 

822
00:41:35,000 --> 00:41:37,900
And this is basically the, how 
the markets are forming and 

823
00:41:37,900 --> 00:41:39,600
what's happened. 
You know, we released Ocean 

824
00:41:39,600 --> 00:41:42,400
Market with three weeks ago, and
it looks like a microcosm of 

825
00:41:42,400 --> 00:41:44,800
crypto itself, right? 
You've got, you know, you've got

826
00:41:44,800 --> 00:41:47,800
people that are doing the 
equivalent of an IC 0, which is 

827
00:41:47,800 --> 00:41:50,400
an ID 0, initial data. 
Offering the promoting on 

828
00:41:50,400 --> 00:41:52,900
Twitter, there are actually 
announcing the launch of the of 

829
00:41:52,900 --> 00:41:55,400
it, you know, 24 hours before or
week before whatever. 

830
00:41:55,400 --> 00:41:59,000
Now and then people Pile in when
the thing happens to just to 

831
00:41:59,100 --> 00:42:03,300
invest in speculate and so on 
and at the same time and then 

832
00:42:03,300 --> 00:42:06,200
you have data Schiller's. 
And you have rug pulls and you 

833
00:42:06,200 --> 00:42:08,100
have fraud and all of these 
things that you have in the 

834
00:42:08,100 --> 00:42:11,800
broader crypto ecosystem. 
But you also then, you know, in 

835
00:42:11,800 --> 00:42:14,200
this all this messiness, you 
have a market for me. 

836
00:42:14,500 --> 00:42:18,100
This is how markets are born and
so, you know, 2017, yes, there 

837
00:42:18,100 --> 00:42:20,600
was an I co bubble but this is 
actually how the broader crypto 

838
00:42:20,600 --> 00:42:23,400
Market was born before. 
That is pretty quiet. 

839
00:42:23,500 --> 00:42:24,800
Right? 
There was a Bitcoin. 

840
00:42:24,800 --> 00:42:28,500
There's a theorem there is maybe
10 of the coins, but 2017 after 

841
00:42:28,500 --> 00:42:31,100
that happened, you know. 
Now, we have these indices and 

842
00:42:31,100 --> 00:42:33,200
coin market cap and coin gecko 
that point to something quite 

843
00:42:33,200 --> 00:42:36,100
healthy. 
You know, Plus coins that are 

844
00:42:36,100 --> 00:42:38,400
really healthy. 
So this is what we're seeing in 

845
00:42:38,900 --> 00:42:41,300
in the world of data. 
Now, with these initial data 

846
00:42:41,300 --> 00:42:44,600
offerings, IPOs and speculation,
all this, you know, data is 

847
00:42:44,600 --> 00:42:47,500
truly becoming an asset for the 
first time ever and it's fully 

848
00:42:47,500 --> 00:42:50,600
open just like defy, right? 
That's really interesting. 

849
00:42:51,400 --> 00:42:55,200
The data tokens, represent 
specific datasets. 

850
00:42:55,200 --> 00:42:58,100
So there's there's a data token 
for each data set. 

851
00:42:58,200 --> 00:43:01,600
Correct for a data service which
is typically one dataset but it 

852
00:43:01,607 --> 00:43:03,600
could be a local, right? 
But it's whatever granularity 

853
00:43:03,600 --> 00:43:06,100
the publisher decides. 
Yeah, okay, I see. 

854
00:43:06,200 --> 00:43:08,500
And so, that's how you arrived. 
So, there's a little quiddity 

855
00:43:08,500 --> 00:43:11,100
pool. 
Essentially like an amm for for 

856
00:43:11,100 --> 00:43:13,900
each of these data services. 
That's how you arrived at Price 

857
00:43:13,900 --> 00:43:18,100
Discovery for that specific data
service and the data set or data

858
00:43:18,100 --> 00:43:20,300
sets that exist within it. 
Exactly. 

859
00:43:20,300 --> 00:43:21,400
Exactly. 
And then, yeah. 

860
00:43:21,400 --> 00:43:23,800
And I mean, it's that's the 
primary market, right? 

861
00:43:23,800 --> 00:43:26,300
So when the publisher publishes,
they deploy this pool, that's 

862
00:43:26,300 --> 00:43:28,600
the primary Market but then 
people, if they want, they can 

863
00:43:28,600 --> 00:43:31,000
set up secondary markets to. 
So we've seen people creating, 

864
00:43:31,300 --> 00:43:34,600
you know, a pool side by side 
and selling, you know, OTC did 

865
00:43:34,600 --> 00:43:36,300
it tokens and stuff, right? 
Which is great. 

866
00:43:36,300 --> 00:43:38,500
So, and as time goes on, you 
know, there's going to be some 

867
00:43:38,500 --> 00:43:40,500
like large-cap data to data 
tokens. 

868
00:43:40,500 --> 00:43:42,300
Right? 
Right now, you know, it's all 

869
00:43:42,300 --> 00:43:44,900
relatively small. 
It may be traded on exchanges. 

870
00:43:44,900 --> 00:43:45,800
Yeah, exactly. 
Right. 

871
00:43:45,800 --> 00:43:49,100
So we're in early days but 
already, you know, in the last 

872
00:43:49,500 --> 00:43:52,200
three weeks, we're at about 2 
million ocean staked which 

873
00:43:52,200 --> 00:43:55,200
according to the price is right 
now it's about 1 million euros 

874
00:43:55,200 --> 00:43:57,000
worth of worth of data assets. 
Ticked. 

875
00:43:57,300 --> 00:44:00,200
So you know it's early days but 
that's quite exciting. 

876
00:44:00,200 --> 00:44:03,600
And we're Ocean Market usage 
keeps growing growing growing. 

877
00:44:03,600 --> 00:44:08,600
So The most recent numbers are 
about 10,000 weekly, active 

878
00:44:08,600 --> 00:44:11,400
users. 
So I think that's that's the 

879
00:44:11,400 --> 00:44:12,800
number. 
Yeah, things are just growing 

880
00:44:12,800 --> 00:44:14,300
growing growing. 
And right now our challenge is 

881
00:44:14,300 --> 00:44:17,400
to adjust simply the scale 
issues as well as make sure that

882
00:44:18,100 --> 00:44:20,600
the environment is as safe as 
possible to mitigate the effect 

883
00:44:20,600 --> 00:44:22,500
of rug bowls and, and fraud and 
so on. 

884
00:44:23,000 --> 00:44:25,300
Yeah, well, we'll get back to 
the scale in one second. 

885
00:44:25,300 --> 00:44:29,600
So, this ocean Market that you 
mentioned is the first I presume

886
00:44:29,600 --> 00:44:33,300
the only market for the moment. 
Do you anticipate other markets,

887
00:44:33,300 --> 00:44:35,800
forming, and what? 
What kinds of specificities 

888
00:44:35,800 --> 00:44:38,700
could those have? 
What are the types of things 

889
00:44:38,700 --> 00:44:41,600
that would cause that to happen?
Yeah absolutely. 

890
00:44:41,600 --> 00:44:45,100
So we want to see a lot of them 
right you can't have any 

891
00:44:45,100 --> 00:44:47,300
economy. 
I data economy with just one 

892
00:44:47,300 --> 00:44:49,900
marketplace, right? 
You need to have tens hundreds. 

893
00:44:49,900 --> 00:44:51,400
Thousands of these things, 
right? 

894
00:44:51,600 --> 00:44:54,400
And so Ocean Market code itself 
is fully open, right? 

895
00:44:54,900 --> 00:44:58,500
Apache 2 license. 
So basically very unrestrictive 

896
00:44:58,600 --> 00:45:04,100
very open to use and so we do 
encourage that and we even have 

897
00:45:04,500 --> 00:45:06,600
We pointed to people live, how 
they can do that, you know, 

898
00:45:06,600 --> 00:45:08,600
Forks of Ocean Market or create 
their own thing. 

899
00:45:08,900 --> 00:45:11,500
And under the hood, of course, 
everything is on a to remain 

900
00:45:11,500 --> 00:45:13,700
net, including them edited at 
all of that, right? 

901
00:45:13,700 --> 00:45:15,300
So, it's very easy. 
Anyone, spinning up another 

902
00:45:15,300 --> 00:45:19,100
Marketplace, can basically get 
have all the data assets that 

903
00:45:19,100 --> 00:45:20,800
are on Ocean Market on their 
Marketplace. 

904
00:45:21,100 --> 00:45:24,300
So how is this happening? 
We view it as sort of a top-down

905
00:45:24,300 --> 00:45:27,400
and a bottom-up thing. 
So top-down we're working with a

906
00:45:27,400 --> 00:45:30,100
few different organizations that
are interested in building on 

907
00:45:30,100 --> 00:45:33,300
things. 
So, for the better part of a 

908
00:45:33,300 --> 00:45:36,300
year, we've been working with 
Euler and around their own 

909
00:45:36,900 --> 00:45:39,700
Automotive data, Exchange Market
Place, still had your old 

910
00:45:39,700 --> 00:45:40,900
Enterprise clients. 
I see. 

911
00:45:41,300 --> 00:45:43,700
Yeah, I mean, you know, these 
are long-term relationships and 

912
00:45:43,700 --> 00:45:46,200
whatnot, and it's kind of 
exciting, right? 

913
00:45:46,200 --> 00:45:48,100
Things have changed a lot in the
last few years, where 

914
00:45:48,100 --> 00:45:50,700
Enterprises are much more open 
and comfortable this so. 

915
00:45:50,700 --> 00:45:53,700
So we're pretty happy with that 
and there's some other basically

916
00:45:53,800 --> 00:45:55,600
government organizations and 
went out that we're working with

917
00:45:55,600 --> 00:46:00,400
two that we haven't publicly 
announced yet but it's some of 

918
00:46:00,400 --> 00:46:01,400
the information is already out 
there. 

919
00:46:01,400 --> 00:46:05,900
I guess in addition to that 
there's sort of Apps that have 

920
00:46:05,900 --> 00:46:08,900
publicly announced that they 
wanted to have ocean power due 

921
00:46:08,900 --> 00:46:12,500
to markets, such as molecule 
boson protocol deck straight and

922
00:46:12,500 --> 00:46:14,300
otherwise. 
And each of these has their own 

923
00:46:14,300 --> 00:46:15,600
sort of specific vertical, 
right? 

924
00:46:15,600 --> 00:46:20,600
So decks rate for example, is in
the logistics area where it's 

925
00:46:20,600 --> 00:46:25,700
about data that for example 
their customers, they have about

926
00:46:25,700 --> 00:46:28,200
10,000 trucking companies 
working with them and he's 

927
00:46:28,200 --> 00:46:31,300
trucking company has one or a 
few trucks and you know what is 

928
00:46:31,300 --> 00:46:33,600
the specific location of each of
these trucks over time? 

929
00:46:33,600 --> 00:46:36,100
What are the goods and Side each
of these trucks and right now, 

930
00:46:36,100 --> 00:46:38,900
all that data is private but 
it's that that information is 

931
00:46:38,900 --> 00:46:42,300
super, super useful to in two 
ways, one of them is to Wall 

932
00:46:42,300 --> 00:46:44,100
Street, right? 
So, rather than having to look 

933
00:46:44,100 --> 00:46:45,900
at satellite images, you can get
much more fine-grained 

934
00:46:45,900 --> 00:46:49,300
information, but secondly, to 
optimizing the scheduling of the

935
00:46:49,308 --> 00:46:53,000
trucking themselves, right? 
So you can do basically better 

936
00:46:53,400 --> 00:46:55,800
more optimized Logistics over 
time and right now the average 

937
00:46:55,800 --> 00:46:58,700
truck according to Stats, I 
think it's other one-third or 

938
00:46:58,700 --> 00:47:01,800
two-thirds empty because just 
the optimization is so poor. 

939
00:47:02,100 --> 00:47:04,800
So once it starts to be a market
formed around the It on this 

940
00:47:04,800 --> 00:47:06,800
then you can actually optimize 
against it better better better.

941
00:47:07,100 --> 00:47:09,700
So those are a few there. 
But over time, we see that 

942
00:47:09,700 --> 00:47:12,000
there's going to be Market 
places that specialize along a 

943
00:47:12,000 --> 00:47:13,600
few Dimensions. 
One is verticals. 

944
00:47:13,800 --> 00:47:17,400
Like, I've mentioned Right 
Automotive like Daimler or 

945
00:47:18,000 --> 00:47:21,600
Logistics like Dex rate other 
dimensions are maybe you'll have

946
00:47:21,600 --> 00:47:25,300
a Marketplace that's totally 
tuned to a I right training. 

947
00:47:25,300 --> 00:47:28,200
AI models and and they can be 
variance of that like human 

948
00:47:28,200 --> 00:47:30,000
protocol who were working with 
as well. 

949
00:47:30,300 --> 00:47:32,900
You know, they do sort of the H 
caption which is sort of a 

950
00:47:32,900 --> 00:47:36,400
variant of recapture that is 
Basically much more incentive, 

951
00:47:36,400 --> 00:47:37,900
the line with the users 
basically. 

952
00:47:38,200 --> 00:47:40,600
So there's opportunities with 
the H captures of the world, the

953
00:47:40,600 --> 00:47:44,100
human Protocols of the world and
other AI plays to out there 

954
00:47:44,100 --> 00:47:47,300
where it's just sort of a 
win-win and other things too, 

955
00:47:47,300 --> 00:47:50,300
like privacy first marketplaces 
or a specific geographic 

956
00:47:50,300 --> 00:47:52,500
regions. 
And remember like you with a 

957
00:47:52,500 --> 00:47:54,300
Marketplace, you have to have a 
terms of service. 

958
00:47:54,500 --> 00:47:55,900
It's sort of a Last Mile face 
something. 

959
00:47:56,200 --> 00:47:59,800
So certain countries might have 
very specific regulations that 

960
00:47:59,800 --> 00:48:02,000
you want to serve. 
So maybe you focus on just that 

961
00:48:02,000 --> 00:48:04,100
country and maybe even Geo block
everyone. 

962
00:48:04,900 --> 00:48:07,300
As you as that Marketplace. 
And that's okay, right? 

963
00:48:07,400 --> 00:48:09,400
You know, we can't control 
things at the level of the 

964
00:48:09,700 --> 00:48:11,600
substrate, you know, 
permissionless, etherium all 

965
00:48:11,600 --> 00:48:16,000
that, or this more contract, but
that last mile, of course, 

966
00:48:16,000 --> 00:48:19,100
things can be controlled by the 
the marketplace operator and 

967
00:48:19,100 --> 00:48:20,900
that will actually help to serve
specific niches. 

968
00:48:21,300 --> 00:48:22,500
So, there's quite a lot of 
variety there. 

969
00:48:22,800 --> 00:48:26,500
Oh, I guess one more important 
one is besides, you know, the 

970
00:48:26,500 --> 00:48:28,400
publishing and consuming of the 
data assets. 

971
00:48:29,000 --> 00:48:29,900
How do you price? 
Right? 

972
00:48:29,900 --> 00:48:34,200
So by default we have these 
balance your pools but you can 

973
00:48:34,300 --> 00:48:36,700
Also, you know, make it maybe 
some people want to have units 

974
00:48:36,700 --> 00:48:39,200
while pools or bank or 
otherwise. 

975
00:48:39,400 --> 00:48:42,200
Maybe people want to have order 
book based markets, or Dutch 

976
00:48:42,200 --> 00:48:43,900
auctions. 
Maybe you want to have a 

977
00:48:43,900 --> 00:48:46,500
Marketplace, that does a better 
job of initial data offerings 

978
00:48:46,500 --> 00:48:48,600
ideas, right? 
Just like, if you think about 

979
00:48:48,600 --> 00:48:50,800
ico's, that's all these variants
that people had, you know. 

980
00:48:50,900 --> 00:48:54,700
And in that case for even to 
write Dutch auctions, etc, etc. 

981
00:48:55,200 --> 00:48:56,600
We can see the same thing for 
data sets. 

982
00:48:56,600 --> 00:48:59,700
So there's a huge variety and we
encourage people to play with 

983
00:48:59,800 --> 00:49:04,400
all of us. 
Yeah, the the captcha thing is, 

984
00:49:05,200 --> 00:49:08,000
I think is one of the things 
that people don't realize to 

985
00:49:08,000 --> 00:49:12,100
what, which point their 
incentives are misaligned there.

986
00:49:12,100 --> 00:49:14,200
Where there is an incentive 
misalignment there. 

987
00:49:14,200 --> 00:49:18,200
And actually, so you mentioned H
captcha and I I've seen H 

988
00:49:18,200 --> 00:49:21,900
captcha before and I'm just on 
the website and I had no idea 

989
00:49:21,900 --> 00:49:24,700
that, you know, that sort of 
Brendan eich was behind this and

990
00:49:24,700 --> 00:49:29,400
that they're built on on a 
theorem apparently or like The 

991
00:49:29,400 --> 00:49:31,400
Leverage etherium. 
This is interesting. 

992
00:49:31,700 --> 00:49:32,700
I'll have to look more into 
this. 

993
00:49:33,300 --> 00:49:34,600
Yeah. 
They're, they're probably like 

994
00:49:34,600 --> 00:49:39,000
the most used app that no one's 
heard of right and, you know, 

995
00:49:39,000 --> 00:49:40,700
the people behind it. 
Yeah, it's an amazing team. 

996
00:49:40,900 --> 00:49:43,200
I believe Brendan eich isn't 
directly involved. 

997
00:49:43,200 --> 00:49:45,900
He's just an investor or 
something like that or but also 

998
00:49:45,900 --> 00:49:47,900
helping to support it, but he's 
definitely a he's involved in 

999
00:49:47,900 --> 00:49:50,200
some way, I guess. 
Yeah, yeah. 

1000
00:49:50,200 --> 00:49:53,700
I was I was confronted with this
recently where at least here in 

1001
00:49:53,700 --> 00:49:58,200
France to in order to use 
certain Public Services you're 

1002
00:49:58,200 --> 00:50:01,300
obligated to to fill in a Google
recaptcha. 

1003
00:50:01,700 --> 00:50:05,200
And, you know, in French culture
and probably also in Germany 

1004
00:50:05,200 --> 00:50:07,400
would probably be like similar 
sentiment to this. 

1005
00:50:07,400 --> 00:50:10,400
If people knew that in order to 
access Public Services, they 

1006
00:50:10,400 --> 00:50:14,100
were obligated to enrich a 
gaffa, like what we call in 

1007
00:50:14,100 --> 00:50:17,800
French Agatha, you know, the 
Google Amazon Facebook, and 

1008
00:50:17,800 --> 00:50:20,100
apple Etc. 
I think there was there would be

1009
00:50:20,200 --> 00:50:23,300
some outrage at least that idea 
and maybe we can unpack this 

1010
00:50:23,300 --> 00:50:27,100
because it's a nice example. 
So, you know, when you fill in a

1011
00:50:27,107 --> 00:50:29,500
recaptcha, there's usually two 
in a row that you do. 

1012
00:50:29,500 --> 00:50:32,600
The first one is to basically. 
By whether or not you're human. 

1013
00:50:32,800 --> 00:50:36,600
And the second one is basically 
Google hasn't yet classified 

1014
00:50:36,600 --> 00:50:39,300
weather, which picture has a 
truck and it or not which 

1015
00:50:39,300 --> 00:50:41,800
precludes a car not, right? 
And you're basically providing 

1016
00:50:41,800 --> 00:50:44,200
labels for it basically, with to
help train, the algorithms 

1017
00:50:44,200 --> 00:50:47,600
because the algorithm needs to 
make this mapping of right of 

1018
00:50:47,800 --> 00:50:51,300
image 2, yes or no, there's a 
truck in it, right? 

1019
00:50:51,400 --> 00:50:54,100
And so you're supplying data for
training and that's, you know, 

1020
00:50:54,100 --> 00:50:56,800
hugely useful to Google for its 
other applications. 

1021
00:50:56,800 --> 00:50:59,300
So, you know, you think that, 
you know, you just need to get 

1022
00:50:59,300 --> 00:51:02,200
into the site. 
But Google itself, I think 99% 

1023
00:51:02,200 --> 00:51:05,400
of people don't know this. 
Yeah I think 90% people are 

1024
00:51:05,400 --> 00:51:08,200
totally unaware and actually I 
was unaware of this until 

1025
00:51:08,200 --> 00:51:11,400
recently. 
In fact I was unaware that the 

1026
00:51:11,400 --> 00:51:13,700
previous captures that we had 
before which were just a feeling

1027
00:51:13,700 --> 00:51:16,500
these letters or write. 
This word was also operated by 

1028
00:51:16,800 --> 00:51:19,400
my, most of them were operated 
by Google and was to train their

1029
00:51:19,800 --> 00:51:22,900
book scanning algorithms. 
So yeah. 

1030
00:51:22,900 --> 00:51:25,400
So to summarize that right? 
So basically in doing that, 

1031
00:51:25,400 --> 00:51:29,700
second step you are giving value
to Google by your human efforts,

1032
00:51:29,700 --> 00:51:31,400
right? 
But what if instead of that 

1033
00:51:31,500 --> 00:51:34,400
Going to Google that value is 
going to the person running the 

1034
00:51:34,400 --> 00:51:38,500
website and to the holders of a 
token and even maybe back to you

1035
00:51:38,600 --> 00:51:40,900
directly, right? 
And that's what human protocols 

1036
00:51:40,900 --> 00:51:43,800
about, right? 
The website now can monetize. 

1037
00:51:44,000 --> 00:51:46,500
Actually from this, they don't 
even need to serve ads anymore. 

1038
00:51:46,500 --> 00:51:49,500
They just monetize based on 
people filling out the, you 

1039
00:51:49,500 --> 00:51:52,000
know, proving an Autobot right, 
which is pretty cool. 

1040
00:51:52,700 --> 00:51:54,500
And then also though, you know 
they're going towards having 

1041
00:51:54,500 --> 00:51:56,900
their token and stuff. 
And so there can be a nice 

1042
00:51:56,900 --> 00:51:59,600
alignment there for the people 
who believe in this and finally,

1043
00:51:59,600 --> 00:52:02,500
you know, maybe at some point 
also Go back to the person that 

1044
00:52:02,500 --> 00:52:04,800
is proving the not about in the 
first place, right? 

1045
00:52:05,100 --> 00:52:08,700
So to me, it's a great use case.
I don't know why, but this kind 

1046
00:52:08,700 --> 00:52:13,400
of a tangent, but like I have 
been just bombarded with with 

1047
00:52:13,400 --> 00:52:16,100
recaptures recently, and I don't
know if it's cause my IP address

1048
00:52:16,100 --> 00:52:18,800
is flagged or something, but 
I'll have to do 10 or 12 

1049
00:52:18,800 --> 00:52:21,900
attempts before. 
I can actually access a website 

1050
00:52:21,900 --> 00:52:26,000
and it's, it's so painstaking, I
think captures, there's part of 

1051
00:52:26,000 --> 00:52:28,900
a reason for it and that is 
basically the AEI models have 

1052
00:52:28,900 --> 00:52:30,100
gotten better over the years, 
right? 

1053
00:52:30,100 --> 00:52:31,900
So they're running out of See 
stuff. 

1054
00:52:32,200 --> 00:52:34,900
So, they're basically getting 
you to do the hard stuff because

1055
00:52:34,900 --> 00:52:37,100
the easy stuff is already been 
modeled, right? 

1056
00:52:37,300 --> 00:52:39,500
I think it might have to do with
the fact that I'm filling in so 

1057
00:52:39,500 --> 00:52:41,900
many capsules that maybe they 
think I'm some kind of a captcha

1058
00:52:42,000 --> 00:52:46,400
feel like bought or like you 
know someone in some Faraway 

1059
00:52:46,400 --> 00:52:48,800
country filling in capsules for 
pennies. 

1060
00:52:49,300 --> 00:52:50,900
That could be it too. 
Yeah. 

1061
00:52:51,400 --> 00:52:55,800
So let's talk about, you know, 
privacy, which is so Central to 

1062
00:52:55,800 --> 00:52:58,800
this entire topic. 
Well, I guess my first question 

1063
00:52:58,800 --> 00:53:03,300
is, what types of Compatibility 
or compliance. 

1064
00:53:03,700 --> 00:53:09,100
Does ocean have with regulations
like gdpr or the the CCPA and 

1065
00:53:09,100 --> 00:53:13,300
California ocean serves these 
regulations very well. 

1066
00:53:13,500 --> 00:53:19,100
So in GDP are for example, 
there's this idea that certain 

1067
00:53:19,100 --> 00:53:21,100
sensitive data can never leave 
European soil. 

1068
00:53:21,100 --> 00:53:22,900
If it's generated on European 
soil, right? 

1069
00:53:22,900 --> 00:53:28,200
Like Medical Data yet if I'm a 
medical researcher and say USA, 

1070
00:53:28,800 --> 00:53:32,000
the ideal is that I have data 
across You know, 10,000 

1071
00:53:32,000 --> 00:53:35,500
hospitals, across Germany, and 
France, and all of Europe as 

1072
00:53:35,500 --> 00:53:38,000
well as China, and Australia, 
and so on, right? 

1073
00:53:38,200 --> 00:53:42,300
So how do I get access to this 
data with gdpr? 

1074
00:53:42,600 --> 00:53:45,400
It would be basically. 
Well, the traditional way was 

1075
00:53:45,500 --> 00:53:48,000
where you basically try to make 
deals with hospital by hospital 

1076
00:53:48,000 --> 00:53:51,800
at a time and stir it all in 
one, big Central database and 

1077
00:53:51,800 --> 00:53:54,100
then build a model from that. 
And actually Google had 

1078
00:53:54,100 --> 00:53:55,800
something called project 
Nightingale doing this. 

1079
00:53:56,100 --> 00:53:58,700
And they had a huge pushback and
rightly so right because like 

1080
00:53:58,700 --> 00:54:02,000
Medical Data, super sensitive 
and actually There's other ones 

1081
00:54:02,000 --> 00:54:05,200
who like other big organizations
that we're trying similar 

1082
00:54:05,200 --> 00:54:07,200
approaches and that's really 
like a big No-No. 

1083
00:54:07,200 --> 00:54:10,600
Fortunately, there are better 
ways to approach this. 

1084
00:54:11,000 --> 00:54:14,600
And so when I think about 
privacy the best way is it's not

1085
00:54:14,600 --> 00:54:17,900
about like either. 
It's not a black-and-white of, I

1086
00:54:17,900 --> 00:54:20,800
see my data, anyone else can, 
that's not very useful, it's 

1087
00:54:20,800 --> 00:54:23,800
more like structuring the flow 
of data, you know, who can see 

1088
00:54:23,800 --> 00:54:26,500
what when right. 
And that comes down to 

1089
00:54:26,500 --> 00:54:28,400
permission, right? 
Giving permissions to people 

1090
00:54:28,400 --> 00:54:30,700
over Volcom, permissions to 
people to see certain data. 

1091
00:54:31,300 --> 00:54:34,100
Data services. 
So, so that's the heart of 

1092
00:54:34,100 --> 00:54:36,000
privacy. 
Now going back to this example 

1093
00:54:36,800 --> 00:54:38,800
from Health. 
What you can do is if you're 

1094
00:54:38,800 --> 00:54:42,300
trying to build any a model, why
not do something like Federated 

1095
00:54:42,300 --> 00:54:46,000
learning, where in Federated 
learning you create an initial 

1096
00:54:46,000 --> 00:54:47,800
random AI model, neural, 
network, whatever. 

1097
00:54:48,100 --> 00:54:50,900
And then it's just random at 
first is super stupid, but then 

1098
00:54:51,200 --> 00:54:54,200
it goes and it sort of as this 
bought, it kind of walks to the 

1099
00:54:54,200 --> 00:54:56,400
first hospital. 
Let's say a hospital here in 

1100
00:54:56,400 --> 00:55:01,200
Berlin, Germany, and it updates 
itself based on the data in the 

1101
00:55:01,400 --> 00:55:03,200
Germany. 
So now, instead of, you know, 

1102
00:55:03,600 --> 00:55:06,800
fifty percent error like, you 
know, basically random, it's got

1103
00:55:06,800 --> 00:55:09,500
40 percent error, right. 
And then it goes to another 

1104
00:55:09,500 --> 00:55:13,000
hospital, let's say in Paris and
it updates itself and now it's 

1105
00:55:13,000 --> 00:55:16,000
got three percent error. 
And by the way, the whole model 

1106
00:55:16,000 --> 00:55:18,400
doesn't have to go to the 
hospital, it's just an update of

1107
00:55:18,400 --> 00:55:21,700
the model so you don't have an 
attack Vector there and then you

1108
00:55:21,707 --> 00:55:26,700
go to another hospital in say 
Lyon France, you keep going 

1109
00:55:26,700 --> 00:55:28,600
going going from hospital to 
hospital hospital. 

1110
00:55:28,900 --> 00:55:30,900
And the error keeps going down 
down, down, down down. 

1111
00:55:30,900 --> 00:55:33,500
So once If you went across 
10,000 different hospitals, 

1112
00:55:33,900 --> 00:55:36,600
you've got a very accurate 
model, but what's cool is the 

1113
00:55:36,600 --> 00:55:40,200
data inside each Hospital, never
ever left the hospital, right? 

1114
00:55:40,500 --> 00:55:42,700
You know, people have been 
developing these techniques for 

1115
00:55:42,700 --> 00:55:47,000
Federated learning, going back 
to 2015 2016 and Google started 

1116
00:55:47,000 --> 00:55:49,600
making it really popular and 
famous and sort of 2017 era. 

1117
00:55:49,800 --> 00:55:51,800
The thing is Google's version of
it is. 

1118
00:55:51,800 --> 00:55:56,500
Yes, the data itself can stay at
the leaf nodes at the edges, but

1119
00:55:56,500 --> 00:55:58,500
guess who gets to play the 
middleman Google? 

1120
00:55:58,500 --> 00:56:00,500
Right, so a problem. 
Once again, you've got leakage 

1121
00:56:00,500 --> 00:56:01,100
there. 
So what? 

1122
00:56:01,300 --> 00:56:04,400
Could actually have a middleman 
that is, you know, not incentive

1123
00:56:04,400 --> 00:56:07,800
misaligned that can still help 
to coordinate all of the, this 

1124
00:56:07,800 --> 00:56:09,600
learning of this model. 
And that's really where ocean 

1125
00:56:09,600 --> 00:56:11,700
can really help. 
So, basically, what you're doing

1126
00:56:11,700 --> 00:56:16,900
is you can learn your basically,
do the training weight updates, 

1127
00:56:16,900 --> 00:56:20,000
Etc. 
At the last mile at the edge, as

1128
00:56:20,000 --> 00:56:24,500
well as the orchestration in 
between can be done using 

1129
00:56:24,500 --> 00:56:28,000
decentralized substrates, but 
and ocean basically can play a 

1130
00:56:28,000 --> 00:56:31,500
key role in this because it's 
hell, you know, these data 

1131
00:56:31,500 --> 00:56:34,000
tokens are providing the access 
control of, you know, who can 

1132
00:56:34,000 --> 00:56:37,800
see what data sets one, right? 
And so, that's kind of the dream

1133
00:56:37,800 --> 00:56:40,700
right now. 
No one has built this particular

1134
00:56:40,700 --> 00:56:43,600
application of ocean with 
Federated learning. 

1135
00:56:43,600 --> 00:56:46,300
But, you know, there's some 
really great efforts around this

1136
00:56:46,300 --> 00:56:47,800
in a fully open Way. 
Open mind. 

1137
00:56:47,800 --> 00:56:50,700
It's a project out of the UK led
by Andrew Trask, an amazing 

1138
00:56:50,700 --> 00:56:52,400
person. 
And, you know, this is kind of 

1139
00:56:52,408 --> 00:56:56,600
where they're headed and we hope
to see an integration of 

1140
00:56:56,600 --> 00:56:59,400
open-minded ocean at some point.
And this talks are on that stuff

1141
00:56:59,400 --> 00:57:01,100
too. 
So I think, you know, that's 

1142
00:57:01,300 --> 00:57:04,100
Example, and you can do this in 
a simpler way to you don't even 

1143
00:57:04,100 --> 00:57:07,000
need to get fancy with building 
a model. 

1144
00:57:07,000 --> 00:57:10,900
It could be Simply Computing an 
average across 10, different are

1145
00:57:10,900 --> 00:57:12,300
10,000 different hospitals, 
right? 

1146
00:57:12,500 --> 00:57:14,600
So and that's very, very useful,
you know, if you're a 

1147
00:57:14,607 --> 00:57:17,400
multinational Enterprise and the
data can't leave any one of your

1148
00:57:17,700 --> 00:57:20,500
offices, then you can compute an
average across each or in 

1149
00:57:20,500 --> 00:57:22,100
Canada, right? 
Can it actually has this problem

1150
00:57:22,100 --> 00:57:25,000
to the trying to get Health Data
from the different provinces? 

1151
00:57:25,400 --> 00:57:28,800
But if you each province, has 
its own rules and so if you sort

1152
00:57:28,800 --> 00:57:32,500
of take the intersection of the 
rules, From all the different 

1153
00:57:32,500 --> 00:57:35,100
provinces of Canada. 
You end up with an empty set is 

1154
00:57:35,100 --> 00:57:39,600
0 the rules, don't the rules 
Collide so a very nice solution 

1155
00:57:39,600 --> 00:57:42,100
to this is something like this 
you know Federated analytics for

1156
00:57:42,100 --> 00:57:44,400
just averages or Federated 
learning to get a bit fancier 

1157
00:57:45,100 --> 00:57:46,800
and that plays well with GDP are
basically right. 

1158
00:57:46,800 --> 00:57:48,500
Because then the data is never 
ever leaves the soil. 

1159
00:57:50,000 --> 00:57:54,600
So, how does ocean address 
permissioning of data as it's 

1160
00:57:54,700 --> 00:57:58,000
utilized and transformed? 
And I don't know if this is the 

1161
00:57:58,000 --> 00:58:01,100
right way to think about this. 
But I imagine, you know, data 

1162
00:58:01,100 --> 00:58:05,600
being used to train a model and 
and then, you know, then I kind 

1163
00:58:05,600 --> 00:58:09,100
of lose track of like how that 
data exists. 

1164
00:58:09,100 --> 00:58:13,100
Like it went for man exists and 
in the context of GDP are or 

1165
00:58:13,100 --> 00:58:17,300
other regulations like it if the
you know the owners of that data

1166
00:58:17,300 --> 00:58:21,700
still have rights too The 
results of the computations that

1167
00:58:21,700 --> 00:58:25,000
were performed on that data. 
You know, essentially can one 

1168
00:58:25,000 --> 00:58:28,300
retrieve the data. 
Once it's baked in does that 

1169
00:58:28,300 --> 00:58:30,600
even matter and is this 
something we should be concerned

1170
00:58:30,600 --> 00:58:34,100
about I'd scale perhaps more 
than just an individual level. 

1171
00:58:34,300 --> 00:58:36,900
Yeah, so I think there's two 
pieces here to unpack, this one 

1172
00:58:36,900 --> 00:58:39,600
of them is, you know, what about
where they're sort of this 

1173
00:58:39,600 --> 00:58:42,300
pipeline of, you know, data 
being transformed, being 

1174
00:58:42,300 --> 00:58:45,700
transformed, being transformed 
and the other is, you know, what

1175
00:58:45,700 --> 00:58:47,500
are the rights that would attach
to that. 

1176
00:58:47,800 --> 00:58:50,600
So, you know, in a way I can 
Pure pipeline. 

1177
00:58:50,900 --> 00:58:53,400
You might have, you know, some 
initial raw training data, and 

1178
00:58:53,400 --> 00:58:56,100
then it might get cleaned. 
So then now you have clean raw 

1179
00:58:56,100 --> 00:58:59,700
training data and then it might,
you might train your am model 

1180
00:58:59,900 --> 00:59:02,100
and then you'll have your 
trained, am model and that's a 

1181
00:59:02,107 --> 00:59:05,000
piece of data as well. 
And then you might have some new

1182
00:59:05,000 --> 00:59:08,100
data coming into that, you want 
to get it to predict on and it 

1183
00:59:08,100 --> 00:59:10,400
makes predictions and those 
predictions that themselves are 

1184
00:59:10,400 --> 00:59:13,000
also data. 
So, we've got data at various 

1185
00:59:13,000 --> 00:59:16,900
steps along the flow. 
Each one of those is its own 

1186
00:59:16,900 --> 00:59:19,400
data asset, right? 
It can be its own data token. 

1187
00:59:19,400 --> 00:59:21,100
If you It's you don't have to 
it. 

1188
00:59:21,100 --> 00:59:23,700
Depends on, you know what works 
for you want, but with ocean 

1189
00:59:24,000 --> 00:59:26,400
ocean, doesn't care, right? 
If it's the super rod Training 

1190
00:59:26,400 --> 00:59:29,500
Day at the very beginning or 
whether it's some predictions at

1191
00:59:29,500 --> 00:59:32,300
the very tail end or something 
in between, right, it really 

1192
00:59:32,300 --> 00:59:34,500
doesn't care if you do want to 
have it. 

1193
00:59:34,500 --> 00:59:37,800
Every step along the at every 
step along, the way that 

1194
00:59:37,800 --> 00:59:41,000
actually probably helps towards 
Providence of the data, right? 

1195
00:59:41,000 --> 00:59:44,100
So with GDP are and all that. 
You actually, one of the 

1196
00:59:44,100 --> 00:59:46,600
requirements is, you need to 
know where the data came from, 

1197
00:59:46,600 --> 00:59:47,900
right? 
So that it wasn't. 

1198
00:59:48,000 --> 00:59:50,800
So this actually ocean really 
Oops, that way because then you 

1199
00:59:50,800 --> 00:59:55,000
can have data that is trained in
a way where, you know, where the

1200
00:59:55,000 --> 00:59:58,500
raw data came from and you can 
kind of vote for and stuff, 

1201
00:59:58,500 --> 00:59:59,700
right? 
And that's a big problem even 

1202
00:59:59,700 --> 01:00:02,800
pre gdpr days and stuff, right? 
But this will actually help you 

1203
01:00:02,800 --> 01:00:05,200
address that but now you 
actually have the provenance of 

1204
01:00:05,500 --> 01:00:08,000
of each temple on the way to the
tail. 

1205
01:00:08,000 --> 01:00:10,700
End of you know the you know you
probably don't have the initial 

1206
01:00:10,700 --> 01:00:15,100
run clean data provenance of a 
clean training data provenance 

1207
01:00:15,100 --> 01:00:18,600
of the trained model and 
Providence of the the final 

1208
01:00:18,600 --> 01:00:19,600
predictions and those 
predictions. 

1209
01:00:19,800 --> 01:00:21,300
Probably have many sets of those
over time. 

1210
01:00:21,700 --> 01:00:26,700
So that's, you know, helpful for
gdpr and just as an asset in 

1211
01:00:26,707 --> 01:00:28,100
general, right? 
It helps to drive the value of 

1212
01:00:28,107 --> 01:00:30,500
the asset just like, like a 
scribe days, right? 

1213
01:00:30,700 --> 01:00:34,800
It described, you know, we were 
doing digital art and the value 

1214
01:00:34,800 --> 01:00:37,500
of an artwork is only as good as
its provenance, right? 

1215
01:00:38,100 --> 01:00:40,200
If I had a painting that and I 
claimed it to be by Leonardo da 

1216
01:00:40,207 --> 01:00:42,000
Vinci. 
Well, people will say, well 

1217
01:00:42,000 --> 01:00:45,000
prove it right, like show me the
lineage of ownership, right? 

1218
01:00:45,000 --> 01:00:48,700
And if I was able to show that 
then you know I could have a 

1219
01:00:48,700 --> 01:00:51,700
fortune in my hands. 
But if I can't show that then 

1220
01:00:51,700 --> 01:00:54,500
it's probably worth zero. 
Although there can be some Arts 

1221
01:00:54,500 --> 01:00:58,500
experts to come along and try to
verify it and it's often kind of

1222
01:00:58,500 --> 01:01:00,900
fuzzy there's you know even a 
fraud market around just that 

1223
01:01:00,900 --> 01:01:02,900
right. 
But the point is profit 

1224
01:01:02,900 --> 01:01:04,000
Providence really really 
matters. 

1225
01:01:04,000 --> 01:01:07,300
And you know what a scribe had 
done was established Providence 

1226
01:01:07,300 --> 01:01:10,000
for for digital art and that 
helps to establish the value of 

1227
01:01:10,000 --> 01:01:13,400
the piece in a big way. 
And for data it's also super 

1228
01:01:13,400 --> 01:01:15,300
helpful, right? 
Because we'll have you know, 

1229
01:01:15,308 --> 01:01:18,700
much better sort of culture 
around provenance of data and 

1230
01:01:18,700 --> 01:01:20,800
models that are trained. 
And so That will actually lead 

1231
01:01:21,400 --> 01:01:23,800
make it a lot easier to comply 
with gdpr and so on. 

1232
01:01:24,200 --> 01:01:26,100
So that's on the sort of the one
part. 

1233
01:01:26,100 --> 01:01:29,600
The second part, I'll be quick 
on this is the right. 

1234
01:01:29,600 --> 01:01:36,000
So basically, we view data as IP
and and specifically as 

1235
01:01:36,000 --> 01:01:38,500
copyright, if you have sweat off
the brow to generate this data, 

1236
01:01:38,700 --> 01:01:42,100
then this is actually your 
copyrighted data as an 

1237
01:01:42,100 --> 01:01:44,500
individual, or as an 
organization. 

1238
01:01:45,000 --> 01:01:48,400
And so with that, then you can 
do whatever you want with it. 

1239
01:01:48,400 --> 01:01:51,900
But the way that In sets it up 
is Ocean Market specifically 

1240
01:01:51,900 --> 01:01:54,200
because you know, the lower 
levels, don't care. 

1241
01:01:54,200 --> 01:01:56,900
But Ocean Market it has a terms 
of service that we thought 

1242
01:01:56,900 --> 01:01:59,100
through and even Drew on from 
our scribe days and so on of 

1243
01:01:59,107 --> 01:02:01,900
course which in turn draws on 
things from like second life and

1244
01:02:01,900 --> 01:02:06,100
otherwise we in that terms of 
and conditions, it basically 

1245
01:02:06,100 --> 01:02:09,800
says you are claiming that you 
have copyright or at least the 

1246
01:02:09,800 --> 01:02:13,900
rights to this data initially 
and then when the next person 

1247
01:02:14,100 --> 01:02:17,500
buys it from you, they are 
getting rights to basically it's

1248
01:02:17,500 --> 01:02:20,400
sort of like a license, right? 
His relations. 

1249
01:02:21,000 --> 01:02:23,000
And then you have some place in 
some place installations are 

1250
01:02:23,000 --> 01:02:24,900
going along. 
But it could be where, you know,

1251
01:02:24,908 --> 01:02:28,500
if you want you can have those 
of the ocean Mark distance work.

1252
01:02:28,500 --> 01:02:31,300
That's right now. 
But what we envision is that you

1253
01:02:31,300 --> 01:02:35,300
can have licenses that are more 
restrictive and towards re using

1254
01:02:36,200 --> 01:02:38,400
data in various ways. 
And this kind of goes in the 

1255
01:02:38,408 --> 01:02:43,600
realm of remix rights, right? 
Like you know when an artist say

1256
01:02:43,600 --> 01:02:48,500
a DJ does a remix of a song 
created by Sarah requisition 

1257
01:02:48,900 --> 01:02:50,700
then they they have to get a 
license from their 

1258
01:02:50,700 --> 01:02:53,600
recommendation to get to do the 
remix and probably the 

1259
01:02:53,600 --> 01:02:55,400
requisition will get a cut of 
the royalties at the end as 

1260
01:02:55,400 --> 01:02:57,600
well, right? 
So it's similar thing here, 

1261
01:02:57,700 --> 01:03:00,300
where there needs to be some 
sort of legal agreement, between

1262
01:03:00,400 --> 01:03:04,600
the original creator of that 
work or the exclusive owner of 

1263
01:03:04,600 --> 01:03:07,200
that, that piece of Ip and the 
sub licensure for the remix 

1264
01:03:07,200 --> 01:03:09,600
rights. 
And we'll see how this forms. 

1265
01:03:09,600 --> 01:03:11,300
We see that, you know, cryptos a
funny thing. 

1266
01:03:11,700 --> 01:03:14,200
There are sort of the fall of 
the law to the letter of the 

1267
01:03:14,200 --> 01:03:15,300
law. 
Eccentric Setter etcetera, 

1268
01:03:15,300 --> 01:03:17,000
approach. 
And there's also the sort of 

1269
01:03:17,000 --> 01:03:19,600
more wild Westy approach that 
some people prefer to follow. 

1270
01:03:20,100 --> 01:03:22,600
Given that you already have a 
lot more protection built into 

1271
01:03:22,600 --> 01:03:24,700
the blocking itself. 
So how much do you need to 

1272
01:03:24,700 --> 01:03:27,600
leverage existing IP laws and we
don't have a good answer to 

1273
01:03:27,600 --> 01:03:28,400
this. 
We don't know how it's going to 

1274
01:03:28,408 --> 01:03:29,900
play out. 
So we kind of support both. 

1275
01:03:31,100 --> 01:03:33,200
Yeah, I know, I know you guys 
have spent a lot of time 

1276
01:03:33,200 --> 01:03:36,400
thinking about this and these 
conversations were happening in,

1277
01:03:36,600 --> 01:03:41,900
even in the days of ipd be and 
how I pdb could be compliant 

1278
01:03:41,900 --> 01:03:45,500
with gdpr and there's been a lot
of thought and so I'm like, I 

1279
01:03:45,500 --> 01:03:48,900
trust that that you guys have 
found suitable solutions to 

1280
01:03:48,900 --> 01:03:51,500
these problems. 
One of the things we haven't 

1281
01:03:51,500 --> 01:03:56,400
really talked about very much is
the fact that, so, the previous 

1282
01:03:56,400 --> 01:03:59,500
version we're now, of course, in
V3 of ocean, the previous 

1283
01:03:59,500 --> 01:04:03,300
version was It as an etherium 
side chain and you mentioned 

1284
01:04:03,300 --> 01:04:07,200
before the show that you're now 
on the ethereum main net. 

1285
01:04:07,600 --> 01:04:10,300
Can you describe how that works?
So we haven't really talked 

1286
01:04:10,300 --> 01:04:11,900
about the smart contract and 
when it does. 

1287
01:04:11,900 --> 01:04:14,700
Exactly. 
And then look what actually does

1288
01:04:14,700 --> 01:04:18,200
exist on the main chain explain 
for our listeners. 

1289
01:04:18,300 --> 01:04:19,700
What that looks like sure happy 
to. 

1290
01:04:20,200 --> 01:04:23,800
And you know the reason we 
initially did the POA sidechain 

1291
01:04:23,800 --> 01:04:28,400
was we saw that we would run 
into scale issues and the V 1 V 

1292
01:04:28,400 --> 01:04:30,100
2 versions of ocean. 
We're pretty. 

1293
01:04:30,200 --> 01:04:32,900
Located. 
So we actually had even run 

1294
01:04:32,900 --> 01:04:34,600
tests to deploy to a theorem a 
net. 

1295
01:04:34,600 --> 01:04:39,100
And it was super painful. 
Frankly, it took you know, days 

1296
01:04:39,100 --> 01:04:40,400
for the first successful 
deployment. 

1297
01:04:40,700 --> 01:04:42,700
And this is just simply because 
of the sheer complexity of the 

1298
01:04:42,707 --> 01:04:46,100
contract with her V3. 
We said, let's change the mental

1299
01:04:46,100 --> 01:04:50,000
model where, instead of having 
our sort of own custom access 

1300
01:04:50,000 --> 01:04:54,600
control for contracts, that's 
put that into the context of 

1301
01:04:54,900 --> 01:04:58,200
your C20 and then we can 
leverage all the infrastructure 

1302
01:04:58,200 --> 01:05:01,100
of your C20 directly, right? 
Just like I mentioned before 

1303
01:05:01,100 --> 01:05:02,400
with an allergy to unisex 
etcetera. 

1304
01:05:03,100 --> 01:05:07,500
So that's what the heart of the 
mental model for ocean is is you

1305
01:05:07,500 --> 01:05:10,600
know, you have access to a given
data asset. 

1306
01:05:10,900 --> 01:05:14,200
You have custody of this access 
if you have 1.0 data tokens and 

1307
01:05:14,200 --> 01:05:17,800
then you can redeem that if you 
send the data 1.0 ninja tokens 

1308
01:05:17,800 --> 01:05:20,700
to the publisher. 
And so that's the heart of it 

1309
01:05:20,700 --> 01:05:22,700
and that allowed us to simplify 
ocean a lot. 

1310
01:05:22,900 --> 01:05:26,000
So it's, you know, radically 
simpler than before and also 

1311
01:05:26,000 --> 01:05:28,200
simpler conceptually to deal 
with much more interoperable and

1312
01:05:28,200 --> 01:05:31,300
so on, right metal mask 
Traditionally a crypto wallet is

1313
01:05:31,300 --> 01:05:34,100
now a data wallet. 
Right treasure is now a hardware

1314
01:05:34,100 --> 01:05:37,400
data wallet, right? 
Balancer and Yuna swap are not 

1315
01:05:37,400 --> 01:05:39,400
only dex's they are now data 
exchanges. 

1316
01:05:39,600 --> 01:05:44,700
Right Aragon and Dallas Jack are
now data data douse, right? 

1317
01:05:44,700 --> 01:05:48,100
So this is all possible and we 
can have, you know, stable coins

1318
01:05:48,100 --> 01:05:50,000
Based on data assets. 
This is all possible simply 

1319
01:05:50,000 --> 01:05:52,900
because of the ear T20 root. 
So that's kind of the heart of 

1320
01:05:52,900 --> 01:05:55,000
it. 
The mental model of data tokens 

1321
01:05:55,000 --> 01:05:58,900
as access control, and so what 
it looks like in the theorem, 

1322
01:05:59,000 --> 01:06:02,500
there's Basically three main 
groups of contracts and they're 

1323
01:06:02,500 --> 01:06:05,100
quite simple. 
One of them is a factory to 

1324
01:06:05,500 --> 01:06:09,500
publish your T20 data to them. 
And so we have a template for a 

1325
01:06:09,508 --> 01:06:12,500
new C20 data token. 
And I guess I mentioned before. 

1326
01:06:12,500 --> 01:06:15,500
It's, it's actually simply the 
open Zeppelin you, she 20 

1327
01:06:15,500 --> 01:06:19,900
template, plus this extra field 
called blob, and that allows a 

1328
01:06:19,900 --> 01:06:23,500
lot of flexibility in terms of 
new source of data services, and

1329
01:06:23,500 --> 01:06:27,100
to save gas costs. 
Rather than like be the reason 

1330
01:06:27,100 --> 01:06:29,000
we have the template rather than
just doing it from a librarian 

1331
01:06:29,000 --> 01:06:31,700
stuff, is to make Simpler to 
deploy and also to save gas 

1332
01:06:31,700 --> 01:06:38,100
costs were using ESP 1167 proxy 
contract approach such that it's

1333
01:06:38,100 --> 01:06:39,300
just much much cheaper to 
deploy. 

1334
01:06:39,300 --> 01:06:42,600
So that's the first part. 
The second part is the balancer 

1335
01:06:42,600 --> 01:06:46,600
pools and once again, you know, 
we're close with a balancer 

1336
01:06:46,600 --> 01:06:48,700
guys. 
I've been an advisor to them for

1337
01:06:48,700 --> 01:06:53,400
a couple years now and we at the
same time we did not use the 

1338
01:06:53,400 --> 01:06:56,500
balancer contracts that are 
deployed to a three-minute 

1339
01:06:56,500 --> 01:06:58,500
directly and the reason is gas 
costs as well. 

1340
01:06:58,500 --> 01:07:02,000
It's okay for someone Who, you 
know, wants to create a pool of 

1341
01:07:02,000 --> 01:07:06,000
beef and say ocean with you know
millions in the quiddity OR eith

1342
01:07:06,000 --> 01:07:08,700
and die with tens of billions in
the quiddity, whatever, right. 

1343
01:07:08,700 --> 01:07:11,800
But if you just got a data token
where it's much more long tail, 

1344
01:07:11,800 --> 01:07:15,200
asset of, you know, a hundred 
bucks, 1,000 bucks liquidity. 

1345
01:07:15,400 --> 01:07:19,100
Then are you willing to spend 
the gas phase of $50, $55, 

1346
01:07:19,100 --> 01:07:23,100
whatever, the the gas prices are
just to deploy that and it's 

1347
01:07:23,100 --> 01:07:25,200
much more of a stretch. 
So we said you know what? 

1348
01:07:25,400 --> 01:07:29,700
Let's also do a friendly Fork of
the balancer contract. 

1349
01:07:29,700 --> 01:07:31,800
So Pull and so on and the 
factory. 

1350
01:07:32,000 --> 01:07:35,800
So they've got a factory with 
plus a template and have it also

1351
01:07:35,800 --> 01:07:38,900
follow this EIP, 1167 proxy 
contract pattern. 

1352
01:07:39,100 --> 01:07:40,900
So we have that as well. 
So that's the second part. 

1353
01:07:41,000 --> 01:07:44,100
So we've basically got a factory
in template for data tokens, a 

1354
01:07:44,107 --> 01:07:45,900
factory in template for balance 
or pools. 

1355
01:07:46,400 --> 01:07:48,300
And the third thing is simply 
just for metadata. 

1356
01:07:48,300 --> 01:07:51,200
It's a very simple thing. 
It's a simple contract DDO dots 

1357
01:07:51,200 --> 01:07:55,400
all. 
And with it you have basically, 

1358
01:07:55,400 --> 01:08:00,700
if you are the publisher of a 
given data token then, You have 

1359
01:08:00,700 --> 01:08:04,100
a slot in that particular smart 
contract where you can write the

1360
01:08:04,100 --> 01:08:07,600
metadata and, and update it. 
And the metadata is things like,

1361
01:08:07,600 --> 01:08:10,500
you know, name of the publisher 
description which can be pretty 

1362
01:08:10,500 --> 01:08:14,300
long and a few other fields. 
So so those are the basically, 

1363
01:08:14,300 --> 01:08:17,200
the three main things and 
they're all simple on purpose. 

1364
01:08:17,399 --> 01:08:20,000
And from that, right? 
It's sort of in the stack, we 

1365
01:08:20,000 --> 01:08:22,200
have a piece of software called 
provider which does the 

1366
01:08:22,200 --> 01:08:25,300
handshaking for the publisher to
to receive the tokens. 

1367
01:08:25,300 --> 01:08:28,899
And to give access, we also have
another piece of software called

1368
01:08:29,500 --> 01:08:32,000
Aquarius. 
Us, which is basically a 

1369
01:08:32,000 --> 01:08:35,200
metadata cash to make it easy 
for the ocean Market to sort of 

1370
01:08:35,207 --> 01:08:37,200
the data without having to 
retrieve it, directly from lunch

1371
01:08:37,200 --> 01:08:40,600
and all the time. 
So that's the components, simple

1372
01:08:40,600 --> 01:08:43,300
on purpose and even as time goes
on hopefully will Templar 

1373
01:08:44,700 --> 01:08:47,300
Obviously, you've been working 
on Ocean for some time. 

1374
01:08:47,300 --> 01:08:52,100
And since you began this, this 
project like other blockchains 

1375
01:08:52,100 --> 01:08:56,200
have come along the way that 
perhaps offer more scalability 

1376
01:08:56,399 --> 01:09:00,800
than, you know, like the V1 
etherium, have you considered 

1377
01:09:01,100 --> 01:09:04,600
building ocean like separate, 
instance, of ocean on other 

1378
01:09:04,600 --> 01:09:07,899
block, chains, or perhaps, at 
some point, porting it to like 

1379
01:09:07,899 --> 01:09:10,000
something like Solana for 
example, where there's like very

1380
01:09:10,000 --> 01:09:13,300
high throughput? 
What that additional scalability

1381
01:09:13,600 --> 01:09:16,800
Provide ocean that it does 
perhaps doesn't have today. 

1382
01:09:17,100 --> 01:09:18,800
Yeah, absolutely. 
We thought about it, right? 

1383
01:09:18,800 --> 01:09:22,500
I mean I give a talk on between 
scalability issues in 2014 and 

1384
01:09:22,700 --> 01:09:26,000
we had such scalability issues 
with a scribe that we you know, 

1385
01:09:26,008 --> 01:09:28,000
we built our own blockchain just
for scalability, right? 

1386
01:09:28,200 --> 01:09:30,600
Watching database. 
We can you be so we thought 

1387
01:09:30,600 --> 01:09:32,899
about it a long time, even 
theories around it right? 

1388
01:09:32,899 --> 01:09:35,300
That those sort of, this 
fundamental trade-off between 

1389
01:09:35,300 --> 01:09:38,100
decentralization consistency and
scale, right? 

1390
01:09:38,100 --> 01:09:40,100
Like you want, ideally, you're 
fully permissionless, 

1391
01:09:40,100 --> 01:09:43,100
decentralized and you are 
consistent as in. 

1392
01:09:43,100 --> 01:09:46,800
You solved it Friend and you are
scalable. 

1393
01:09:46,800 --> 01:09:50,200
As in can handle, sort of 
planetary needs, right? 

1394
01:09:50,500 --> 01:09:54,000
And when I wrote that post in 
2016, I think it was, it was, 

1395
01:09:54,000 --> 01:09:56,300
you know, that was kind of a 
revelation and it was very 

1396
01:09:56,300 --> 01:10:00,000
useful as a model, right? 
And so I profess, for example, 

1397
01:10:00,100 --> 01:10:04,100
is decentralized, 
permissionless, and scalable, 

1398
01:10:04,100 --> 01:10:06,400
but it doesn't solve the double 
spending problem, right? 

1399
01:10:06,400 --> 01:10:08,600
So, it's not really a blockchain
per se, but it actually has a 

1400
01:10:08,600 --> 01:10:10,400
really cool data management with
your duties and stuff. 

1401
01:10:10,700 --> 01:10:16,300
If the room in Bitcoin they are 
Alice and decentralized as well 

1402
01:10:16,300 --> 01:10:17,800
as consistent. 
You know, they self double 

1403
01:10:17,800 --> 01:10:21,500
spend, but they haven't been 
scalable traditionally and then 

1404
01:10:21,500 --> 01:10:23,400
big Cheney be went. 
The other route where it said, 

1405
01:10:23,400 --> 01:10:27,400
okay we need scale and we need 
consistency. 

1406
01:10:27,800 --> 01:10:30,000
So I'll double spend. 
So we're going to loosen off a 

1407
01:10:30,000 --> 01:10:33,300
little bit on the decentralized 
by starting out being Federated,

1408
01:10:33,300 --> 01:10:36,300
when a p08 poh, right? 
And that was the decision at the

1409
01:10:36,300 --> 01:10:38,700
time and others have discovered 
that since right now, you know, 

1410
01:10:39,000 --> 01:10:41,000
about a year later vitalik, 
discovered it are. 

1411
01:10:41,000 --> 01:10:43,400
So it may be happier and now 
it's more, commonly known as the

1412
01:10:43,600 --> 01:10:44,900
Ability. 
Trilemma, right? 

1413
01:10:45,000 --> 01:10:46,300
I called it. 
The DC has triangle. 

1414
01:10:46,400 --> 01:10:47,700
It's quite quite a well-known 
thing. 

1415
01:10:47,700 --> 01:10:50,600
And the cool thing is, from the 
time that I wrote it, I was 

1416
01:10:50,600 --> 01:10:51,600
hopeful. 
I said this is just an 

1417
01:10:51,608 --> 01:10:53,700
engineering problem, it's going 
to get solved. 

1418
01:10:53,700 --> 01:10:56,400
People are going to find ways 
and lo and behold they have 

1419
01:10:56,400 --> 01:11:00,700
right, which is great, right? 
And the usual trick of a lot of 

1420
01:11:00,708 --> 01:11:04,500
these is to leverage random 
numbers, you know, Monte Carlo, 

1421
01:11:04,500 --> 01:11:07,200
algorithms are an amazing trick 
for scalability across the 

1422
01:11:07,208 --> 01:11:08,400
board. 
You know, use them a lot of 

1423
01:11:08,407 --> 01:11:12,600
places and you know how III to 
does it help polka dot. 

1424
01:11:12,600 --> 01:11:15,500
Does it. 
How Elgar on does it add more is

1425
01:11:15,500 --> 01:11:19,300
where you, you know, have this 
list of 1,000 or 10,000 Canada, 

1426
01:11:19,300 --> 01:11:21,100
validators. 
And then you randomly select 100

1427
01:11:21,100 --> 01:11:22,900
of them are so, right? 
And then those become your 

1428
01:11:22,900 --> 01:11:26,200
validators for the next, you 
know, hour or 24 hours or 

1429
01:11:26,208 --> 01:11:28,700
whatever. 
And that's a very nice approach 

1430
01:11:28,700 --> 01:11:31,500
because it kind of addresses 
issues and there's other 

1431
01:11:31,500 --> 01:11:33,600
approaches as well, right Solana
for example. 

1432
01:11:33,600 --> 01:11:35,000
Yeah. 
They focused on solving the 

1433
01:11:35,008 --> 01:11:37,800
bandwidth issue drawing on their
days of Qualcomm Engineers right

1434
01:11:38,100 --> 01:11:39,700
and I have great respect for 
Cole come Engineers that worked 

1435
01:11:39,700 --> 01:11:41,900
with them a lot in the past. 
So I think there's a lot of 

1436
01:11:41,900 --> 01:11:44,300
great approaches out there that,
you know, Essentially DCS 

1437
01:11:44,300 --> 01:11:46,300
triangles / scalability. 
Trilemma. 

1438
01:11:46,900 --> 01:11:49,600
You know at first there was just
theoretical Solutions and then 

1439
01:11:49,600 --> 01:11:52,100
people started building the real
solutions and you know, they're 

1440
01:11:52,100 --> 01:11:54,200
coming live, which is great for 
ocean. 

1441
01:11:54,800 --> 01:11:58,100
We've been, you know, tracking 
all of these and we said you 

1442
01:11:58,108 --> 01:11:59,700
know to start with we're going 
to deploy in aetherium. 

1443
01:11:59,800 --> 01:12:04,100
But after that you know we 
envision that ocean to be truly 

1444
01:12:04,100 --> 01:12:06,500
ubiquitous and that is part of 
the goal of ocean you know to 

1445
01:12:06,500 --> 01:12:09,500
have a true dat economy for the 
globe, we need to be on all the 

1446
01:12:09,500 --> 01:12:11,400
substrates. 
Basically any substrate that has

1447
01:12:11,400 --> 01:12:13,100
any usage at all. 
We should be on it. 

1448
01:12:13,500 --> 01:12:16,300
And so it's a journal write to 
get their bit by bit by bit. 

1449
01:12:16,300 --> 01:12:19,500
So start with a theorem and then
search deploying to others 

1450
01:12:19,800 --> 01:12:23,300
either ourselves as the court, 
ocean team or encouraging other 

1451
01:12:23,300 --> 01:12:25,800
people out there in the 
ecosystem to deploy, but it's 

1452
01:12:25,800 --> 01:12:27,100
not just deploying the ocean 
contracts. 

1453
01:12:27,100 --> 01:12:30,100
You need to have Bridges to 
connect to the ocean Community, 

1454
01:12:30,100 --> 01:12:32,800
because we need long-term 
sustainability and we can get 

1455
01:12:32,800 --> 01:12:34,800
into that as well. 
So that's actually sort of the 

1456
01:12:34,800 --> 01:12:36,700
constraint that holds us back 
from, you know, deploying a 

1457
01:12:36,700 --> 01:12:38,500
bunch of them right now. 
And you know, there's other 

1458
01:12:38,500 --> 01:12:39,800
examples of the South are 
already, right? 

1459
01:12:39,800 --> 01:12:41,700
Like u.s. 
DT is on many chains, more 

1460
01:12:41,700 --> 01:12:44,700
recently chain link. 
Sort of done, sort of a 

1461
01:12:44,708 --> 01:12:46,700
blitzscale to lots and lots of 
chains as well. 

1462
01:12:46,700 --> 01:12:49,400
And I think that's great, right?
So we envision the same, we 

1463
01:12:49,400 --> 01:12:51,200
think there's a lot of great 
teams with great technology out 

1464
01:12:51,200 --> 01:12:56,000
there and Cosmos and polkadot 
have done some extra cool stuff 

1465
01:12:56,000 --> 01:12:57,600
to make this easier for a lot of
things too. 

1466
01:12:57,600 --> 01:12:59,600
So you know, we have 
relationships with a lot of 

1467
01:12:59,608 --> 01:13:03,500
these teams and we're hopeful 
and it's definitely a part of 

1468
01:13:03,500 --> 01:13:07,200
oceans future towards ubiquity 
cool, it's good to hear. 

1469
01:13:07,300 --> 01:13:09,600
So, as we wrap up, I I wanted to
talk a little bit about the 

1470
01:13:09,600 --> 01:13:15,100
future, and, and the ways in 
which you Envision ocean will 

1471
01:13:15,100 --> 01:13:18,100
evolve and what are the things 
that came to mind is this idea 

1472
01:13:18,100 --> 01:13:22,600
of data markets as a data stream
and currently in the ocean 

1473
01:13:22,600 --> 01:13:26,800
market, like, as I understand 
it, one uploads, the data a data

1474
01:13:26,800 --> 01:13:30,800
set and that's sort of like a 
fixed asset and one can purchase

1475
01:13:30,800 --> 01:13:32,400
it. 
And you know, that data set 

1476
01:13:32,400 --> 01:13:34,900
might have different versions or
it might evolve over time, but 

1477
01:13:35,100 --> 01:13:40,200
it's very much like a sort of 
fixed type of asset. 

1478
01:13:40,500 --> 01:13:46,500
But, of course, you know, data 
Flows In Permanence and and one,

1479
01:13:46,800 --> 01:13:50,400
you know might have used for 
like a constant stream of data 

1480
01:13:50,400 --> 01:13:53,600
and I think this would be useful
for building applications like 

1481
01:13:53,600 --> 01:13:57,100
social networks Etc. 
How do you see ocean? 

1482
01:13:57,100 --> 01:14:01,400
Evolving towards a more fluid 
marketplace where data flows can

1483
01:14:01,400 --> 01:14:04,800
be supported. 
Yep, so this is yet another type

1484
01:14:04,800 --> 01:14:08,000
of data service. 
So just like right now ocean has

1485
01:14:08,000 --> 01:14:11,800
static URLs and computer to data
as two types of services, 

1486
01:14:12,500 --> 01:14:14,600
definitely. 
Streaming data is a type of 

1487
01:14:14,600 --> 01:14:17,400
service that is a priority for 
us to support. 

1488
01:14:17,800 --> 01:14:19,400
There's actually many variants 
of that, right? 

1489
01:14:19,400 --> 01:14:22,400
Like, graphql actually has 
built-in streaming support, and 

1490
01:14:22,700 --> 01:14:26,300
there's other, you know, sort of
web two-ish technologies that 

1491
01:14:26,300 --> 01:14:29,000
also help to support streaming. 
You do so. 

1492
01:14:29,100 --> 01:14:31,400
So we look forward to having 
support for that. 

1493
01:14:31,700 --> 01:14:34,000
And then, as time goes on, you 
know, we see that these are 

1494
01:14:34,000 --> 01:14:36,600
going to get become more and 
more refined in terms of the 

1495
01:14:36,600 --> 01:14:39,700
support, so more specialized. 
So maybe there's going to be ten

1496
01:14:39,700 --> 01:14:42,000
different variants, assuming 
Dina, you know there's some 

1497
01:14:42,000 --> 01:14:43,400
great projects out there that do
streaming. 

1498
01:14:43,700 --> 01:14:45,900
Probably streamer comes to mind 
as one of them and you know 

1499
01:14:45,900 --> 01:14:48,800
we're collaborating them great 
team and that will be a very 

1500
01:14:48,800 --> 01:14:52,600
nice feed of data into ocean 
ecosystem and Ocean Market 

1501
01:14:52,600 --> 01:14:55,300
itself, right? 
So so that's I think a good 

1502
01:14:55,300 --> 01:14:58,400
example, there's a nice stepping
stone piece and that is because 

1503
01:14:58,400 --> 01:15:01,500
the the URLs themselves are 
static under the hood. 

1504
01:15:01,500 --> 01:15:03,100
People can keep updating the 
data set. 

1505
01:15:03,100 --> 01:15:07,200
So we see people in Ocean Market
where they post a data set for 

1506
01:15:07,200 --> 01:15:09,400
sale but then they promised you 
updated every four hours or 

1507
01:15:09,400 --> 01:15:11,400
every 24 hours and that's 
happening, right? 

1508
01:15:11,400 --> 01:15:15,000
So that's sort of a way to kind 
of get They're a good example of

1509
01:15:15,000 --> 01:15:19,100
that is swash where it's this 
data, Union of thousands of 

1510
01:15:19,100 --> 01:15:21,500
members where they're selling 
collectively bargaining, 

1511
01:15:21,500 --> 01:15:25,900
collectively selling their 
browser data their browser 

1512
01:15:25,900 --> 01:15:29,600
history data as this data Union 
and then they're selling that 

1513
01:15:29,600 --> 01:15:33,200
actually on Ocean. 
So and that's also related to 

1514
01:15:33,208 --> 01:15:36,000
the human project to. 
So we're quite excited for many,

1515
01:15:36,000 --> 01:15:38,500
many data services over time and
there's other, you know, 

1516
01:15:38,500 --> 01:15:40,900
decentralized data services that
we think are going to be very, 

1517
01:15:40,900 --> 01:15:42,400
very useful feeding into ocean 
as well. 

1518
01:15:42,700 --> 01:15:45,800
You know, the ones that are More
pure data ish such as numerous 

1519
01:15:45,800 --> 01:15:49,200
signals chain-link, feeds and 
more. 

1520
01:15:49,400 --> 01:15:51,900
And then also the storage 
Services themselves, right? 

1521
01:15:52,300 --> 01:15:55,100
They're starting to accumulate 
more and more data to the file 

1522
01:15:55,100 --> 01:15:58,900
coins and see us and the theorem
swarms of the world and so on, 

1523
01:15:58,900 --> 01:16:00,400
right? 
So all these things I think are 

1524
01:16:00,407 --> 01:16:03,500
going to be you know better and 
better supported over time in 

1525
01:16:03,500 --> 01:16:07,500
more direct, less friction. 
Anyways, The note to end on, I'd

1526
01:16:07,500 --> 01:16:11,100
like to ask you what types of 
things do you hope people will 

1527
01:16:11,100 --> 01:16:14,200
build on Ocean, what would be 
for you? 

1528
01:16:14,200 --> 01:16:18,500
Likes of a sign that ocean has 
achieved its gold overall. 

1529
01:16:18,500 --> 01:16:22,800
I mean, generally, right. 
This isn't really it's a vague 

1530
01:16:22,800 --> 01:16:27,100
go post but ubiquity right, like
where it's kind of just part of 

1531
01:16:27,100 --> 01:16:30,500
Internet infrastructure in a way
that everyone kind of, accepts 

1532
01:16:30,500 --> 01:16:33,400
it, right? 
Just the way that TCP IP is that

1533
01:16:33,400 --> 01:16:35,400
like that, and the wet with the 
web on top. 

1534
01:16:36,200 --> 01:16:39,000
And so on. 
And to me, that would be great 

1535
01:16:39,800 --> 01:16:42,200
to get to that point, but it's 
going to take, you know, 

1536
01:16:42,200 --> 01:16:44,600
probably decades, right? 
That's okay, right? 

1537
01:16:45,300 --> 01:16:47,700
What does that look like in 
specific measurements? 

1538
01:16:48,200 --> 01:16:53,100
Maybe just, you know, knowing 
that ocean tools are used by 

1539
01:16:53,100 --> 01:16:55,600
these higher level. 
But by different, like all the 

1540
01:16:55,600 --> 01:16:58,000
different organizations as just 
part of their overall toolbox 

1541
01:16:58,700 --> 01:17:01,800
but also critical to that, you 
know, because this is not just a

1542
01:17:01,808 --> 01:17:05,200
one or two-year Journey but you 
know, decades-long sort of thing

1543
01:17:05,500 --> 01:17:07,500
and also it shouldn't Dependent 
on just myself and the 

1544
01:17:07,508 --> 01:17:10,900
correlation team. 
We need to actually have a plan 

1545
01:17:10,900 --> 01:17:12,600
for long-term sustainability to 
help. 

1546
01:17:12,600 --> 01:17:14,000
Make sure this is well funded. 
Right? 

1547
01:17:14,300 --> 01:17:17,500
And on that, you know, I won't 
go into too much detail but we 

1548
01:17:17,500 --> 01:17:20,500
did design System Dynamics 
around ocean for exactly that 

1549
01:17:20,500 --> 01:17:24,000
where there can be funding over 
time 51% of the token Supply 

1550
01:17:24,500 --> 01:17:28,000
follows Bitcoin style emission 
curve and this goes into 

1551
01:17:28,200 --> 01:17:30,700
basically funding for the 
community to keep building and 

1552
01:17:30,700 --> 01:17:33,700
developing projects on top. 
Whether it's well if you things 

1553
01:17:33,900 --> 01:17:39,600
core infrastructure apps and in 
regressions on top Outreach and 

1554
01:17:39,600 --> 01:17:41,400
unlocking specific data assets 
and so on. 

1555
01:17:41,400 --> 01:17:44,700
So those four things are things 
that can get funded over time by

1556
01:17:44,700 --> 01:17:47,500
this year marks, apply lotion, 
the majority of ocean supplies 

1557
01:17:47,500 --> 01:17:50,100
earmarked for this. 
And and then how do you curate 

1558
01:17:50,100 --> 01:17:53,800
that? 
And the answer to that is via 

1559
01:17:53,800 --> 01:17:56,800
Dow technology, right? 
That's basically technology for 

1560
01:17:57,000 --> 01:17:58,500
collective decision making over 
time. 

1561
01:17:58,800 --> 01:18:01,600
So we are in the process of 
rolling out ocean Dow which is 

1562
01:18:01,600 --> 01:18:03,500
sort of the final piece of the 
puzzle of the overall ocean 

1563
01:18:03,500 --> 01:18:05,900
system. 
And it's going to be a humble 

1564
01:18:05,900 --> 01:18:09,000
sort of We're going to start 
slowly start with small budget 

1565
01:18:09,000 --> 01:18:12,800
but then over time Bit by Bit by
Bit grow, the amount that is 

1566
01:18:12,800 --> 01:18:15,200
finding and then at some point 
flip the switch and it'll be 

1567
01:18:15,200 --> 01:18:17,100
funding from this 51% Supply as 
well. 

1568
01:18:17,500 --> 01:18:22,100
So that's kind of, you know, 
critical towards oceans goal of 

1569
01:18:22,100 --> 01:18:24,200
ubiquity. 
And from there, you know, 

1570
01:18:24,500 --> 01:18:26,300
there's going to be other goal 
posts and stuff that are really 

1571
01:18:26,300 --> 01:18:27,200
going to be interesting on the 
way. 

1572
01:18:27,200 --> 01:18:31,300
But I guess another one is 
where, you know, when you stop 

1573
01:18:31,300 --> 01:18:34,900
hearing about people complaining
about how bad Facebook is and so

1574
01:18:34,900 --> 01:18:36,300
on, right? 
Like when that's no longer Were 

1575
01:18:36,300 --> 01:18:38,500
part of the conversation, 
that'll be a pretty good goal 

1576
01:18:38,500 --> 01:18:41,000
post, right? 
Or when people talk about how, 

1577
01:18:41,000 --> 01:18:43,800
you know, they're making half of
their income from data that 

1578
01:18:43,800 --> 01:18:45,500
they're selling from the 
personal data or from other 

1579
01:18:45,500 --> 01:18:47,600
things on the side. 
That's a good goal post. 

1580
01:18:47,600 --> 01:18:51,100
So so things like that, right? 
Towards this overall goal of 

1581
01:18:51,100 --> 01:18:53,500
ubiquity as sort of 
infrastructure for civilization.

1582
01:18:54,600 --> 01:18:56,000
That's a great note to end on 
Trent. 

1583
01:18:56,000 --> 01:18:59,700
Thanks so much for coming on 
once again and hopefully we'll 

1584
01:18:59,700 --> 01:19:04,200
have you on a fifth time maybe 
in some in some time and 

1585
01:19:04,200 --> 01:19:06,400
hopefully we'll get to see each 
other in person very soon. 

1586
01:19:06,600 --> 01:19:07,800
For sure. 
Thank you very much. 

1587
01:19:09,600 --> 01:19:11,400
Thank you for joining us on this
week's episode. 

1588
01:19:11,700 --> 01:19:13,300
We release new episodes every 
week. 

1589
01:19:13,800 --> 01:19:16,600
You can find And subscribe to 
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1590
01:19:16,700 --> 01:19:19,800
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1591
01:19:20,100 --> 01:19:22,900
And if you have a Google home or
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1592
01:19:22,900 --> 01:19:25,900
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1593
01:19:25,900 --> 01:19:29,000
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1594
01:19:29,000 --> 01:19:31,600
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01:19:34,400 --> 01:19:37,800
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1597
01:19:37,800 --> 01:19:40,400
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01:19:40,400 --> 01:19:41,700
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1599
01:19:42,000 --> 01:19:44,300
It helps people find the show 
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1600
01:19:44,300 --> 01:19:47,600
them but thanks so much and we 
look forward to being back next 

1601
01:19:47,600 --> 01:19:40,400
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You can follow us on Twitter and

1602
01:19:40,400 --> 01:19:41,700
please leave us a review on 
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1603
01:19:42,000 --> 01:19:44,300
It helps people find the show 
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1604
01:19:44,300 --> 01:19:47,600
them but thanks so much and we 
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1605
01:19:47,600 --> 01:19:47,900
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