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This is Epicenter Episode 508 
with guests Stephen Young and 

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Storm. 
Welcome to Epicenter, the show 

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which talks about technologies, 
projects, and people driving 

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decentralization and the 
blockchain revolution. 

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I'm Brian Farman Crane and today
I'm Speaking of Stephen Young 

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and Storm. 
Steven is the CEO and cofounder 

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of Nifty Fi and Storm is Head of
Business Development, Nifty Fi 

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is kind of the first NFT lending
platform. 

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It's one of the leading and 
earliest projects in the NFT 

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finance space. 
So today we're going to talk 

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about NFTS and NFC finance and 
Nifty Fi and sort of like where 

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all those things are going. 
Really excited about this, 

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especially cuz I'm not very deep
in NFT space. 

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So I'm excited to learn more 
from geeks too. 

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Yeah. 
So thanks so much for joining 

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us. 
Thanks for having us, Brian. 

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Excited to for you and your 
readers and your listeners in on

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some of the happenings in NFTS. 
Even though we're kind of in the

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depths of the Bay markets, we're
all still pretty bullish on this

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side. 
Absolutely. 

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Thanks for having us, Brian. 
Very excited to chat. 

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Cool. 
Maybe you can just start off if 

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you guys could both introduce 
yourselves and share a bit. 

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Like how did you, How has your 
sort of journey into crypto bin 

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and how has it led to a nifty 
fi? 

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Yeah, sure. 
So my name's Steven. 

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I've been in tech basically 
since I was a teenager. 

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Really learned to program. 
My first job was writing a. 

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Game in C++ when I was still in 
high school, so it really has 

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been in my career from the start
and I I live in South Africa. 

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I spent two years just as I 
finished high school living in 

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the UK and then around 2016 did 
a calculation and figured out 

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that I was earning less in 
dollars 15 years into my career 

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than I was in my first job 
living in the UK. 

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And I was basically because the 
South African rands purchasing 

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power, it just fallen off a 
Cliff. 

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So I was still in South Africa 
enjoy the lifestyle, all my 

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friends were here. 
But I was looking for a way to 

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kind of escape the the financial
system here and really that's 

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how I kind of came across crypto
and then late 2016 boards at my 

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first crypto. 
You know, basically using all 

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instead of paying in tomorrow 
times and you would see I was 

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buying crypto which is probably 
not. 

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The most risk like management 
style for retirement, but really

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you know like given how badly 
the South African Rand was 

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doing, you really was kind of my
only option to really exit the 

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system here. 
So that was 2016, went full time

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into crypto like 2018 and then 
started and if to fight end of 

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2019 so basically spent the 1st.
2 Lockdowns in South Africa 

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writing The first version of 
Liftify launched in June 2020. 

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And then my interest in NF T's 
really came from the way that I 

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actually learned to program as a
kid was by doing essentially 

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generative art using this 
program called Logo. 

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It's it's a this derivative 
that's essentially used to teach

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children how to program. 
And you do that by drawing 

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pictures on the screen with this
little turtle. 

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So I was into generative arts 
really as soon as I got into 

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programming. 
So when NFS came around 

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combining arts programming and 
then I spent most of my career 

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working for national for 
financial services companies. 

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So adding in finance on top of 
that and you kind of basically 

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have an if to find. 
Awesome and thanks again. 

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So my name is Storm, so my 
background. 

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I'm originally from Ireland. 
And so essentially, I kicked off

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my career in the investment 
banking space in a speciality 

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called project finance, which is
essentially infrastructure, 

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renewable energy. 
Finance did that for for quite 

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some time, around five years 
before I really fell down the 

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kind of crypto rabbit hole when 
I discovered, well, I suppose 

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actually I've been in crypto 
since 2014. 

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I doubled in it as a student. 
But at that point in time I was 

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more interested in in buying 
beers than kind of adding to my 

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my stack of crypto. 
So I discovered at that time 

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like really fell in love with 
it, kind of followed it very 

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closely over the course of kind 
of five years. 

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And at which point I kind of 
really fell down the rabbit 

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hole, as I said in 2021, which 
when I discovered NF T's. 

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So I kind of started in that 
space, collecting some, trading 

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some, flipping some, the usual. 
Kind of a classical NFT 

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degenerate story and but I did 
also kind of begin to discover 

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NFT finance at that point in 
time as well. 

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It was quite interesting that 
not only could you buy and sell 

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assets but also you could be 
into kind of as part of your 

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trading strategy take loans out 
against them as well. 

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So started there as kind of a 
manual lender and the NFT 

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finance space, but then kind of 
since partnered up with the 

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developer. 
Business partner developer and 

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we started doing a lot of 
automated or programmatic 

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lending in the NFT space as 
well. 

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So really kind of got very 
deeply involved after a time 

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came to know all of the 
essentially all of the major 

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lenders in the space and quite 
some of the borrowers in the 

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space as well. 
And after you've been in the 

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space for for quite a while, you
you like it is a very, very deep

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rabbit hole from which you 
really can't emerge and probably

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as we as we continue on the 
conversation later today. 

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Like, there's a lot of very 
interesting aspects of the 

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market that are creeping up, but
I think are really going to be 

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exciting over the next couple of
years. 

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Cool. 
Thanks so much for these intros.

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So you mentioned already a 
little. 

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You both kind of touched on it a
bit, right? 

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And so this is basically like 
the NFT market. 

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And can you just let us know 
like what is the state of the 

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NFT market today? 
And maybe also just roll a 

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little bit? 
Yeah, the main things that are 

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going on. 
Yeah. 

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So maybe what I can do is give 
like a very high level kind of 

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overview and then store. 
Maybe you can dive into a couple

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of things that are actually 
looking quite interesting going 

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forward. 
So I think there's broadly 2 

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kind of groups of Nfts that are 
active in the market and I would

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classify them really as. 
The top end of the art markets 

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and collectibles and then 
everything else really and the 

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top end of the art market. 
The reason I have put that 

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differently is cuz I think 
that's really the sector of the 

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market that has actually found 
product market fit. 

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So these art pieces are they're 
finished, there's no external 

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dependencies, A lot of them are 
fully on chain. 

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You're not relying on a team or 
a project to go build something 

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out that's now gonna drive value
to these assets. 

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They're just pieces of art. 
They're finished. 

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You can just. 
Everything that you need to know

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to evaluate them is almost in 
the past, right? 

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You know, the artists, you know,
the history, the work is either 

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good or it's not. 
You're not waiting for any 

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future things. 
Then there's this whole second 

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set of the market, which is. 
More company like or utility. 

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So I would say profile picture 
projects, Pfp's would fit into 

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there. 
A lot of the new areas around 

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ticketing and music and 
royalties and all these kinds of

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things, they're very interesting
and a lot of potential there I 

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think, but much more risky 
because they still have to prove

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product market fits and that's 
you're seeing it actually in the

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prices. 
If you look at the like an 

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index, that's mainly made-up of 
top end art. 

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They've pretty much bottomed and
not really gone down any further

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whereas if you look at PFP 
projects and and all of 

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everything in that category, 
they still have quite a lot of 

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headwinds ahead of them. 
So yeah so that's like broadly 

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how I would put those to you. 
I think the other thing to also 

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just bear in mind is that you 
know Nft's really are a luxury 

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good and the same as any luxury 
goods they they have the wealth 

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effect really takes an impact. 
So if you. 

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If you look at the prices for 
second hand luxury watches like 

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Rolexes and Protect Philips and 
you overlay that graph onto the 

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prices for board a Yacht Club, 
it's almost a mirror of each 

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other. 
I mean the the board apes are 

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slightly more volatile, but you 
know the peak was in March, 

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April. 
They've slowly been going down 

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since then, starting to bottom 
right now. 

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Some signs that maybe the next 
few months they start turning 

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around. 
That is really. 

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These are illiquid assets that 
are luxury purchases. 

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And like every other luxury 
asset in that class, when people

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feel rich, they start spending 
more money. 

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When the markets turn around, 
these illiquid assets are the 

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last thing you sell. 
So they tend to hold their 

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prices for a little bit longer 
kind of drop after the address 

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of the markets actually dropped.
Yeah, that's great points like 

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Steven. 
And I suppose the way that I 

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would frame it in some ways is 
that. 

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The NFT market to date has been 
a great placeholder for what is 

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to come probably over the next, 
call it one, one to three years 

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as an example. 
Particularly when you look at 

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the profile picture markets, 
which really has actually just 

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been the lion's share of the 
market to date. 

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It's kind of been a good 
experiment in NF T's as like a 

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base technological primitive and
how you can kind of stack that 

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with other kind of composable. 
Technology structures on but sit

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on Ethereum like there's been 
kind of some good interesting 

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highlights particular in the 
areas of as alongside the ones 

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that you mentioned Steven, 
community building membership 

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just general interaction with 
fans. 

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It's a good way for companies to
release products. 

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So it's a completely new way for
them to release products which 

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you know never discount the 
concept of companies trying to 

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sell people at large more 
products. 

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It's a. 
Because you know, it's been an 

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interesting way for artists in 
particular to express themselves

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that's been a definite bright 
spot like the emergence of a lot

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of creativity on chain, whereas 
you know artists or creatives 

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generally might not have had 
that outlet before. 

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And then one important area 
definitely worth mentioning, 

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we're starting seal of green 
shoots in the area of real world

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assets. 
So this these are physical or 

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financial assets which are 
starting to make the way on 

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chain. 
And then just generally as I 

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mentioned kind of like the 
concept of digital asset 

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composability. 
So which is a really, really 

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important one where essentially 
you kind of ask the question 

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where how do pure digital 
objects or alternatively digital

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objects which represent physical
objects, how do they stack you 

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know in the D5 money, Lego 
composable worlds that we live 

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in on, on Ethereum and I think 
like you know over the coming 

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years the this. 
Composability of Nfts with other

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primitives really starts to 
perform like what? 

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A significant bedrock, You know,
an economic bedrock on a serum, 

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which will be quite interesting.
I'm curious if you can dive in a

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little bit into, yeah, the sort 
of real world asset bracket of 

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the market, what has most 
traction there, like what kind 

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of use cases? 
Yeah. 

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So I think there's sections of 
the market that are actually 

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very similar to the collectibles
that I've already found some 

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traction in, in Nft's. 
So and that, you know, watches, 

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sneakers, paintings, basketball,
playing cards, those kind of 

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things. 
So the reason I think those will

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probably take off first is it's 
relatively easy to store those 

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things in the warehouse and 
tokenize them. 

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That they are fairly 
unregulated, so you're not 

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having to to jump through a lot 
of regulatory hoops. 

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They can act very similar to the
actual Nft's. 

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There's a huge overlap in the 
holder base, so a lot of the 

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people who started collecting 
Nft's were just collectors at 

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heart. 
So they already had a stamp 

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collection or Magic the 
Gathering cards under their bed 

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or multiple watches that they're
collecting, so. 

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So there's just this big overlap
between the actual borrower base

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or the actual collector base 
there that I think connects in 

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quite easily. 
And then I think the other 

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reason is now that you're 
starting to have some of these 

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NFTE financialization services 
that are kind of popping up 

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around Nftes. 
Tokenizing that asset all of a 

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sudden means you can do things 
with it. 

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That's much more difficult to do
if you don't actually take 

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tokenize it and bring it on 
chain. 

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So get access to 24/7 markets, 
but you know, open CE, blur, all

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those kind of things. 
You get lending markets, you get

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fractionalization. 
You know, there's a whole bunch 

230
00:13:36,580 --> 00:13:38,980
of this infrastructure that has 
been built over the last two 

231
00:13:38,980 --> 00:13:42,140
years that all of a sudden 
actually make it worthwhile to 

232
00:13:42,140 --> 00:13:48,340
bring those assets on chain. 
So in this example, let's say 

233
00:13:48,340 --> 00:13:50,340
you mentioned like watches, 
sneakers and stuff. 

234
00:13:51,020 --> 00:13:54,980
So this would you would have an 
NFT and that can be redeemed 

235
00:13:54,980 --> 00:13:57,460
then for the actual physical 
object, something like that's 

236
00:13:57,460 --> 00:14:00,060
correct, yes. 
And the visual object is stored 

237
00:14:00,060 --> 00:14:03,060
with some custodian and anyone 
can go there and basically give 

238
00:14:03,060 --> 00:14:05,220
NFT and they get that. 
Yes, exactly. 

239
00:14:05,220 --> 00:14:07,300
And that's kind of where we're 
seeing a lot of the traction at 

240
00:14:07,300 --> 00:14:09,500
the moment. 
So there's quite a few people 

241
00:14:09,500 --> 00:14:13,540
like 4k.com is basically 
building a distributed network 

242
00:14:13,540 --> 00:14:16,670
of. 
Warehouses where you you send in

243
00:14:16,670 --> 00:14:20,350
the physical assets, they bring 
it on, take some photos, maybe 

244
00:14:20,350 --> 00:14:24,910
do a 3D scan, mints an NFT that 
represents the assets and then 

245
00:14:26,070 --> 00:14:29,510
basically that NFT can the the 
actual asset stays in the 

246
00:14:29,510 --> 00:14:33,150
warehouse and that NFT can start
trading, you know go through 

247
00:14:33,150 --> 00:14:37,070
open C, go into the loan and 
then at some point if you if the

248
00:14:37,190 --> 00:14:40,350
owner of that NFT wants to 
redeem the asset, they can burn 

249
00:14:40,350 --> 00:14:43,790
that NFT. 
And in return the the warehouse 

250
00:14:43,790 --> 00:14:49,630
sent it back to to that person. 
So in theory, which is quite an 

251
00:14:49,630 --> 00:14:53,270
interesting concept, you could 
become the world's largest watch

252
00:14:53,590 --> 00:14:57,870
sneaker trading cards dealer 
without ever taking physical 

253
00:14:57,870 --> 00:15:01,030
possession of an item, which I 
think will be quite interesting.

254
00:15:01,110 --> 00:15:03,630
And and similarly you can become
you know a major lender in the 

255
00:15:03,630 --> 00:15:06,430
space without ever having, 
having to take custody of an 

256
00:15:06,430 --> 00:15:08,420
asset. 
Cool. 

257
00:15:08,620 --> 00:15:11,660
Well, let let's talk about NFT 
finance then. 

258
00:15:11,660 --> 00:15:14,460
So you know you mentioned a 
bunch of the different types of 

259
00:15:14,460 --> 00:15:18,980
assets and of course a lot of 
listeners will be familiar. 

260
00:15:18,980 --> 00:15:21,500
I think most of all is this will
be no reasonably familiar with 

261
00:15:21,500 --> 00:15:25,020
Defy and you know no kind of the
primitives from there. 

262
00:15:25,380 --> 00:15:28,780
But what does the NFT finance 
space look like and what are the

263
00:15:28,780 --> 00:15:31,420
most important, you know, kind 
of like primitives and 

264
00:15:31,420 --> 00:15:35,020
innovations there? 
Yeah, sure. 

265
00:15:35,020 --> 00:15:39,530
So I think there's. 2 main 
distinctions that you want to 

266
00:15:39,530 --> 00:15:43,810
make when you're considering the
NFT lending market and that is 

267
00:15:43,810 --> 00:15:47,090
whether the protocol is a 
peer-to-peer model or whether 

268
00:15:47,090 --> 00:15:50,210
it's a peer to pool model. 
I think that's the two kind of 

269
00:15:50,210 --> 00:15:54,690
buckets into which most NFT 
platforms fall at the moment. 

270
00:15:54,970 --> 00:15:58,490
And then of course you have 
structures which sit on top of 

271
00:15:58,490 --> 00:16:00,530
them and leverage them. 
But for the most part, the 

272
00:16:00,530 --> 00:16:03,770
building blocks of of the 
industry are peer-to-peer peer 

273
00:16:03,770 --> 00:16:06,550
to pool models. 
The way that the, I should 

274
00:16:06,950 --> 00:16:10,310
mention N FT-5 in this case is a
peer, peer-to-peer platform. 

275
00:16:11,030 --> 00:16:13,750
It's a, it's a structure that we
really back. 

276
00:16:14,510 --> 00:16:18,310
It's worked very well for us 
since the start has really a lot

277
00:16:18,310 --> 00:16:22,350
of excellent aspects about it 
that make it very borrower 

278
00:16:22,350 --> 00:16:26,270
friendly. 
So just to maybe dive into what 

279
00:16:26,270 --> 00:16:29,230
that actually looks like. 
So peer-to-peer platform as you 

280
00:16:29,230 --> 00:16:31,590
can imagine is comprised of two 
sides. 

281
00:16:32,690 --> 00:16:35,130
On one part, you have borrowers 
which come onto the platform. 

282
00:16:35,210 --> 00:16:36,930
On the other side you have 
lenders which come onto the 

283
00:16:36,930 --> 00:16:40,010
platform. 
The borrowers typically own NF 

284
00:16:40,010 --> 00:16:44,450
T's or various different assets 
which they list on the platform.

285
00:16:44,490 --> 00:16:46,970
In this case it's a gas free 
transactions are listed on N 

286
00:16:46,970 --> 00:16:51,490
FT-5 and then lenders come onto 
the platform and they compete 

287
00:16:51,930 --> 00:16:54,130
essentially compete for the 
assets which they would like to 

288
00:16:54,130 --> 00:16:57,330
lend against. 
And So what that typically looks

289
00:16:57,330 --> 00:17:00,810
like, lenders set bids 
structured around loans of value

290
00:17:00,810 --> 00:17:03,860
of assets. 
Around the different Aprs which 

291
00:17:03,940 --> 00:17:08,300
they would like to receive and 
return for the loan and that's 

292
00:17:08,339 --> 00:17:11,460
kind of the typical approach. 
The borrower will then have a 

293
00:17:11,460 --> 00:17:13,619
look through the various 
different terms that have been 

294
00:17:13,619 --> 00:17:16,300
made available to them from the 
various lenders and they'll 

295
00:17:16,300 --> 00:17:18,500
select the terms that work best 
for them. 

296
00:17:18,859 --> 00:17:21,980
You know some, some lenders have
a shorter time preference where 

297
00:17:21,980 --> 00:17:24,980
they only want to loan for let's
call it 3 or so, sorry, some 

298
00:17:25,020 --> 00:17:27,579
some borrowers have a shorter 
time preference where they only 

299
00:17:27,579 --> 00:17:29,660
need capital for three or seven 
days. 

300
00:17:30,140 --> 00:17:31,980
Or on the other end of the 
market, we're actually seeing 

301
00:17:31,980 --> 00:17:35,940
quite a lot of loans for 365 
days, so full, full years. 

302
00:17:37,380 --> 00:17:40,460
So with that being said, at the 
at the end of the term of the 

303
00:17:40,460 --> 00:17:44,940
loan, what the borrower does, 
they simply it's a fixed fixed 

304
00:17:44,940 --> 00:17:47,460
term loan, APO is fixed at the 
start of the loan. 

305
00:17:47,780 --> 00:17:50,300
So at the end of the duration of
the loan, they know exactly what

306
00:17:50,300 --> 00:17:52,780
they have to repay and the date 
on which they repay. 

307
00:17:53,700 --> 00:17:55,620
At that point they repay the 
loan. 

308
00:17:57,250 --> 00:18:00,690
Which is initially placed in an 
escrow smart contract. 

309
00:18:01,610 --> 00:18:04,690
The assets I see that the NFT is
placed in an escrow smart 

310
00:18:04,690 --> 00:18:06,610
contract. 
It's then released from the 

311
00:18:06,770 --> 00:18:10,130
escrow smart contract back to 
the borrower at the end of the 

312
00:18:10,130 --> 00:18:13,570
duration of the repayment of the
loan and the lender receives 

313
00:18:13,570 --> 00:18:15,930
back their principal plus the 
interest which they offered. 

314
00:18:17,010 --> 00:18:19,610
So that's in summary of the the 
peer-to-peer structure. 

315
00:18:20,920 --> 00:18:22,400
And then so you just still jump 
in there. 

316
00:18:22,400 --> 00:18:25,880
If the lender that the borrower 
doesn't repay on time, then the 

317
00:18:25,880 --> 00:18:29,320
lender can foreclose the asset. 
The borrower keeps the loan 

318
00:18:29,320 --> 00:18:32,520
principal and the lender will 
receive the actual NFT. 

319
00:18:33,880 --> 00:18:36,040
Yeah. 
So that's basically the risk 

320
00:18:36,040 --> 00:18:41,160
that the lender has to sort of 
calculate with that, OK. 

321
00:18:41,160 --> 00:18:45,720
If this NFT drops in value, then
all of a sudden it can be the 

322
00:18:45,720 --> 00:18:49,530
case that doesn't make economic 
sense anymore for the borrower 

323
00:18:49,530 --> 00:18:52,970
to actually be paid alone. 
And then they would, it was sort

324
00:18:52,970 --> 00:18:57,410
of default, even if they let's 
say normally could. 

325
00:18:57,570 --> 00:18:59,810
You know, maybe they have the 
money and they could pay, right?

326
00:18:59,810 --> 00:19:02,330
But like. 
Correct, correct. 

327
00:19:02,410 --> 00:19:07,290
And many, many borrowers 
actually use and the protocol as

328
00:19:07,290 --> 00:19:09,050
part of a hedging strategy as 
well. 

329
00:19:09,290 --> 00:19:12,730
So essentially to protect their 
downside in the instance that 

330
00:19:12,930 --> 00:19:14,970
the value of their NFNF T's does
fall. 

331
00:19:15,420 --> 00:19:18,580
And on the other side, you know 
many of the lenders are very 

332
00:19:18,580 --> 00:19:22,660
sophisticated individuals, 
former traditional finance 

333
00:19:22,860 --> 00:19:26,460
individuals and just generally 
very deep NFT finance people. 

334
00:19:26,460 --> 00:19:30,700
So they they understand the 
risks for the most part of of of

335
00:19:30,700 --> 00:19:32,420
kind of the the the structures 
there. 

336
00:19:32,420 --> 00:19:37,580
So yeah, it's it's very 
interesting space and then 

337
00:19:37,580 --> 00:19:41,820
perhaps moving on then to the 
pier to pool model which is a 

338
00:19:41,820 --> 00:19:44,830
little bit different. 
It probably more closely 

339
00:19:44,830 --> 00:19:50,230
resembles what you're used to 
seeing with Ave. or kind of 

340
00:19:50,310 --> 00:19:56,510
balance or one of these types of
of pool models where essentially

341
00:19:56,710 --> 00:19:59,430
on one part you have the 
borrowers and again you have the

342
00:19:59,430 --> 00:20:02,470
lenders. 
The lenders place into one 

343
00:20:02,470 --> 00:20:06,910
generalized pool an amount of 
Ethereum or USDC as an example. 

344
00:20:07,990 --> 00:20:12,230
And then the borrowers can 
retrieve Ethereum or USDC from 

345
00:20:12,230 --> 00:20:15,140
those pools. 
By depositing their assets into 

346
00:20:15,140 --> 00:20:20,100
the into the pools. 
Typically those terms are preset

347
00:20:20,100 --> 00:20:22,340
by the pool itself or by the 
protocol itself. 

348
00:20:22,340 --> 00:20:27,140
For example, if you had a award 
a you know floor process of 30 

349
00:20:27,140 --> 00:20:32,620
eats, and I had a 50% loan to 
value specified on the pool, you

350
00:20:32,620 --> 00:20:34,940
can withdraw 15 eats from the 
pool. 

351
00:20:35,340 --> 00:20:39,860
Typically with that approach 
there is no duration set, so you

352
00:20:39,860 --> 00:20:41,820
can borrow indefinitely in 
theory. 

353
00:20:42,560 --> 00:20:45,360
However, you do need to be 
conscious of essentially your 

354
00:20:45,360 --> 00:20:48,560
health or LTV ratios in those 
pools. 

355
00:20:48,800 --> 00:20:52,800
So if they fall below a certain 
level, then there is the risk 

356
00:20:52,800 --> 00:20:54,720
that you can have your assets 
liquidated. 

357
00:20:55,080 --> 00:20:58,520
And typically as a result, the 
liquidated assets are placed 

358
00:20:58,520 --> 00:21:02,360
into a an automated auction 
mechanism where they're listed 

359
00:21:02,640 --> 00:21:06,200
and people can bid on them and 
that they're liquidated that 

360
00:21:06,200 --> 00:21:08,040
way. 
Whereas in the peer peer-to-peer

361
00:21:08,040 --> 00:21:10,960
model, it's the individual 
lenders themselves which carry 

362
00:21:10,960 --> 00:21:14,730
out the liquidations. 
And just one thing that occurs 

363
00:21:14,730 --> 00:21:17,530
to me here, I don't know if 
that's correct, but it seems 

364
00:21:17,530 --> 00:21:21,330
like in the peer-to-peer model 
maybe you don't need any kind of

365
00:21:21,330 --> 00:21:25,170
external price Oracle, but in 
the peer to poo model you would 

366
00:21:25,170 --> 00:21:28,690
need that. 
Yep, that's correct, absolutely.

367
00:21:28,690 --> 00:21:32,450
And that's one of the reasons we
really back the peer-to-peer 

368
00:21:32,450 --> 00:21:36,490
model here, just because we're 
already seeing it with. 

369
00:21:37,490 --> 00:21:41,890
A few of the pier to pool 
protocols is because you have 

370
00:21:41,890 --> 00:21:44,570
this time weights at Oracle. 
So you need to have the time 

371
00:21:44,570 --> 00:21:47,170
weights at Oracle because these 
assets are pretty illiquid. 

372
00:21:47,610 --> 00:21:51,930
So if you're just looking at the
immediate price, it's quite easy

373
00:21:51,930 --> 00:21:55,170
to move the floor price of that 
asset if you own enough of them.

374
00:21:56,010 --> 00:22:00,370
So you have the time weights at 
Oracle, which then means big 

375
00:22:00,370 --> 00:22:04,090
whales in the market can they 
know when the next price move is

376
00:22:04,090 --> 00:22:06,450
coming and they can essentially 
position themselves. 

377
00:22:06,810 --> 00:22:09,010
Because they've got a lot of 
capital and a lot of these 

378
00:22:09,010 --> 00:22:15,330
assets to either move the next 
price that you're gonna get from

379
00:22:15,330 --> 00:22:18,170
the article around or predict 
what it's gonna be and 

380
00:22:18,170 --> 00:22:22,330
essentially dump assets into the
market just before just after 

381
00:22:22,730 --> 00:22:23,970
one of those updates are gonna 
be. 

382
00:22:24,050 --> 00:22:28,170
So I think that is a very key 
difference between the two, and 

383
00:22:28,170 --> 00:22:33,150
I think the other big thing is. 
Predictability and control for 

384
00:22:33,150 --> 00:22:36,510
the asset owners. 
So you know if you own an auto 

385
00:22:36,510 --> 00:22:39,110
glyph for example, you know 
there's only 512 of them. 

386
00:22:39,230 --> 00:22:41,790
They hardly ever sell. 
They're really hard to get the 

387
00:22:41,790 --> 00:22:43,590
hold of once you've actually 
sold one. 

388
00:22:43,590 --> 00:22:46,910
They typically only sell it when
the prices are going up, when 

389
00:22:46,910 --> 00:22:48,670
the markets are where the prices
are going down. 

390
00:22:48,710 --> 00:22:53,310
All this is hold them. 
And in that scenario, you might 

391
00:22:53,310 --> 00:22:57,190
end up as a in a peer-to-peer 
model, maybe there's a there's a

392
00:22:57,190 --> 00:22:59,390
spike down in the price over the
short term. 

393
00:22:59,820 --> 00:23:01,820
But you still wanna repay 
because you believe in six 

394
00:23:01,820 --> 00:23:04,060
months it's gonna recover. 
And you know that if you sell 

395
00:23:04,060 --> 00:23:06,660
this asset now, you're not gonna
be able to buy it back before 

396
00:23:06,660 --> 00:23:10,420
the price recovers. 
And in a peer-to-peer model, 

397
00:23:10,740 --> 00:23:14,140
because it's fixed duration, 
fixed interest, you're always in

398
00:23:14,140 --> 00:23:15,820
control. 
You always know I need to pay 

399
00:23:15,820 --> 00:23:19,500
this much On this date and it's 
my choice to decide if I do 

400
00:23:19,500 --> 00:23:21,300
that. 
Obviously Excel circumsizes 

401
00:23:21,300 --> 00:23:25,060
might mean that you can't, but 
still, you're in control. 

402
00:23:25,480 --> 00:23:28,360
Whereas in these peer to pool 
models and actually on the blend

403
00:23:28,360 --> 00:23:33,120
model to where it's variable 
duration, variable interest, 

404
00:23:33,520 --> 00:23:36,640
you're exposed to market 
movements in that actual load 

405
00:23:36,640 --> 00:23:40,400
and if there's a temporary price
push down, your asset might get 

406
00:23:40,400 --> 00:23:43,040
liquidated. 
Typically these liquidations 

407
00:23:43,040 --> 00:23:46,680
happen at the worst time because
the market's dumping, it's 

408
00:23:46,680 --> 00:23:51,230
probably quite illiquid, so. 
It's, yeah. 

409
00:23:51,230 --> 00:23:53,910
So this is a different risk 
profile and different kind of 

410
00:23:53,910 --> 00:23:56,670
borrower who will do each one of
the two. 

411
00:23:56,670 --> 00:23:59,430
So that you know variable 
interest, variable duration is 

412
00:23:59,430 --> 00:24:03,110
probably more suitable to a 
trader who's trying to unlock 

413
00:24:03,110 --> 00:24:07,110
some liquidity maybe to chase 
some yield in another protocol 

414
00:24:07,110 --> 00:24:09,750
somewhere. 
And as soon as that yield isn't 

415
00:24:09,750 --> 00:24:12,870
profitable anymore, you can just
move the asset out of out of 

416
00:24:12,870 --> 00:24:17,390
that loan and you can stop your 
actual losses there. 

417
00:24:17,550 --> 00:24:19,470
Whereas if you got a fixed 
duration loan, you kind of 

418
00:24:19,470 --> 00:24:25,970
locked in for that period. 
So you talked, I mean that is 

419
00:24:25,970 --> 00:24:29,290
very helpful, interesting. 
So you both talked about 

420
00:24:29,610 --> 00:24:32,570
lending, right. 
So the use case of lending and 

421
00:24:32,570 --> 00:24:36,570
then you know this pool and 
peer-to-peer model, aside from 

422
00:24:36,570 --> 00:24:42,570
lending, are there other major, 
you know, kind of types of DEF I

423
00:24:42,570 --> 00:24:44,050
don't know, are people trying to
do like? 

424
00:24:44,580 --> 00:24:48,500
Options or, I don't know, Is 
there something like perpetuals 

425
00:24:48,500 --> 00:24:52,460
or like I don't know what are? 
What other kinds of instruments 

426
00:24:52,620 --> 00:24:55,220
have people come up with around 
NFT? 

427
00:24:56,860 --> 00:25:00,020
Yeah, well, you've took the two 
concepts that you touched on 

428
00:25:00,020 --> 00:25:01,940
there. 
They're absolutely are and 

429
00:25:01,940 --> 00:25:07,220
protocols active in that space 
and the PERP side in particular 

430
00:25:08,100 --> 00:25:12,410
probably it's a different, it's 
a very difficult area. 

431
00:25:12,410 --> 00:25:16,770
Again, it comes back often times
to the issue of having an Oracle

432
00:25:16,770 --> 00:25:19,410
for what is quite an illiquid 
asset. 

433
00:25:20,410 --> 00:25:23,530
So there's NFT Purp as an 
example, which is active in that

434
00:25:23,530 --> 00:25:27,290
space and they are in the 
process of revamping their 

435
00:25:27,290 --> 00:25:32,850
protocol to refresh it. 
But one of the very interesting 

436
00:25:33,130 --> 00:25:36,290
areas again is you know as we're
positioning ourselves and have 

437
00:25:36,290 --> 00:25:39,650
positioned ourselves as you know
a very much a base primitive 

438
00:25:40,040 --> 00:25:43,440
within the NFT lending world. 
You do get interesting 

439
00:25:43,440 --> 00:25:47,360
integrations with these other 
protocols whereby you know 

440
00:25:47,360 --> 00:25:48,800
they're coming to us to talk to 
us. 

441
00:25:48,800 --> 00:25:54,200
Hey, you guys have the best 
regarded smart contracts in the 

442
00:25:54,200 --> 00:25:58,000
industry, you've been around for
the longest and you know we 

443
00:25:58,000 --> 00:26:01,320
would love to work with you and 
build our protocol on top of 

444
00:26:01,320 --> 00:26:03,480
you. 
So as an example, we're actually

445
00:26:03,480 --> 00:26:08,980
in discussions with an NFT 
options platform who are you 

446
00:26:08,980 --> 00:26:11,500
know going to integrate 
alongside us, you know as part 

447
00:26:11,500 --> 00:26:13,820
of that. 
So potentially leveraging our 

448
00:26:13,820 --> 00:26:17,820
smart contracts and settlement 
layer as part of you know a 

449
00:26:17,820 --> 00:26:19,460
major part of their their 
platform. 

450
00:26:20,180 --> 00:26:24,260
But there are a lot of 
innovations in the space so far.

451
00:26:24,460 --> 00:26:28,220
I think one thing that has many 
protocols I've struggled with 

452
00:26:28,220 --> 00:26:31,540
somewhat is just the level of 
liquidity in the market. 

453
00:26:31,540 --> 00:26:35,580
When you compare it to the 
fungible token or EU RC20 token 

454
00:26:35,580 --> 00:26:39,840
market, they typically tend to 
work a little bit better from a 

455
00:26:39,840 --> 00:26:42,600
composability standpoint 
compared to NFTS. 

456
00:26:42,600 --> 00:26:44,480
But that is something which 
we're seeing that's shifting. 

457
00:26:45,480 --> 00:26:47,960
Yeah, I think that's a very 
important point. 

458
00:26:47,960 --> 00:26:51,920
Even the most liquid NFT 
collection is probably less 

459
00:26:51,920 --> 00:26:55,000
liquid than the least liquid ERC
20s, right. 

460
00:26:55,000 --> 00:26:59,200
So they just they just way less 
active. 

461
00:26:59,200 --> 00:27:01,760
So things like pricing is much 
more difficult. 

462
00:27:03,440 --> 00:27:07,120
Oracles are much more difficult.
So this is some idiosyncrasies 

463
00:27:07,120 --> 00:27:12,080
in the actual NFTE market, 
mainly due to not to so much the

464
00:27:12,080 --> 00:27:16,800
fact that it's an NFTE standard,
but the types of assets that are

465
00:27:16,800 --> 00:27:20,560
suited to being represented as 
an NFTE by definition, are more 

466
00:27:20,560 --> 00:27:22,560
unique. 
They're not fungible, they're 

467
00:27:22,560 --> 00:27:26,190
less liquid. 
So they just have a different 

468
00:27:26,190 --> 00:27:31,430
set of properties that certain 
products don't work as well and 

469
00:27:31,430 --> 00:27:35,150
there's new products that are 
kind of more interesting and 

470
00:27:35,150 --> 00:27:40,990
different and I think quite a 
bit of opportunity exists in 

471
00:27:40,990 --> 00:27:44,590
that as well. 
In a market that's completely 

472
00:27:44,590 --> 00:27:49,150
non fungible, there are areas 
where you can specialize and 

473
00:27:49,150 --> 00:27:53,160
really kind of take advantage of
you know from a lender 

474
00:27:53,160 --> 00:27:56,120
perspective, lender perspective 
or as a borrower. 

475
00:27:56,600 --> 00:27:59,760
And for example you could 
specialize we mentioned earlier 

476
00:27:59,760 --> 00:28:02,760
on the on the podcast, but you 
could become you know a very 

477
00:28:02,760 --> 00:28:05,480
specialized sneaker lender as an
example. 

478
00:28:06,160 --> 00:28:10,120
And although you you understand 
that the liquidity in those 

479
00:28:10,120 --> 00:28:13,240
assets from time to time might 
be a little bit spotty, but you 

480
00:28:13,240 --> 00:28:15,680
are still comfortable and 
confident of taking on that 

481
00:28:15,680 --> 00:28:19,120
inventory risk because you're a 
market specialist in that area? 

482
00:28:20,900 --> 00:28:23,660
Yeah, yeah. 
And can you just talk like a 

483
00:28:23,660 --> 00:28:28,460
little bit about sort of the 
size of the NFT market. 

484
00:28:28,460 --> 00:28:34,180
So if you compare you know, NFT 
with let's say liquid tokens and

485
00:28:34,180 --> 00:28:36,340
I guess there's a whole bunch of
different dimensions that one 

486
00:28:36,340 --> 00:28:37,980
could look at. 
You know, I don't know the total

487
00:28:37,980 --> 00:28:43,300
market cap or like trading 
volume or you know the size of 

488
00:28:43,300 --> 00:28:47,460
the lending market and maybe the
size of the lending market, you 

489
00:28:47,460 --> 00:28:50,170
know. 
Relative to the total market 

490
00:28:50,170 --> 00:28:53,170
cap, I'm curious like what are 
some of the things that send out

491
00:28:53,170 --> 00:28:55,050
to you the most? 
Yeah. 

492
00:28:55,050 --> 00:28:58,490
So maybe I can talk a little bit
about penetration, maybe you can

493
00:28:58,490 --> 00:29:00,810
talk a little bit about more 
like overall size of the 

494
00:29:00,810 --> 00:29:04,370
markets. 
So if you look at. 

495
00:29:05,580 --> 00:29:09,700
Start lending for example in the
traditional world it's like $1.4

496
00:29:09,700 --> 00:29:13,540
trillion asset class. 
It's got a roughly 15% 

497
00:29:13,540 --> 00:29:17,300
penetration. 
So 15% of that $1.4 trillion is 

498
00:29:17,300 --> 00:29:20,860
being held in collateral as a 
loan mainly with banks or and 

499
00:29:20,860 --> 00:29:23,980
galleries. 
And if you're looking at 

500
00:29:23,980 --> 00:29:28,620
penetration in the NFT space, 
probably sub 2% at the moment. 

501
00:29:28,620 --> 00:29:31,380
You know it was a little bit 
higher I think at the peak of 

502
00:29:31,380 --> 00:29:34,140
the of the the bull run, but 
it's it's dropped a little bit 

503
00:29:34,140 --> 00:29:37,630
now. 
There's a roughly $100 million 

504
00:29:37,630 --> 00:29:43,190
in outstanding debts across all 
protocols at the moment for NFT 

505
00:29:43,190 --> 00:29:45,470
lending. 
But really you know kind of I 

506
00:29:45,470 --> 00:29:49,950
think of this as similar to 
where D Phi was pre D Phi 

507
00:29:49,950 --> 00:29:51,910
summer. 
There was kind of you know these

508
00:29:51,910 --> 00:29:55,190
protocols, they kind of built 
the core product. 

509
00:29:55,190 --> 00:29:58,190
They've found some product 
market fit with a core set of 

510
00:29:58,190 --> 00:30:01,990
users who are very deep into the
space and they kind of draw, you

511
00:30:01,990 --> 00:30:04,540
know, there's quite a there's. 
Quite a lot of concentration 

512
00:30:04,540 --> 00:30:08,020
around a few big holders, quite 
a lot of concentration around a 

513
00:30:08,020 --> 00:30:11,700
few big lenders. 
And we predict that in the next 

514
00:30:11,860 --> 00:30:15,660
bull cycle you're gonna see that
expand and explode quite 

515
00:30:15,660 --> 00:30:19,460
significantly because now you're
gonna have this infrastructure 

516
00:30:19,460 --> 00:30:23,860
and multiple options to cater to
different types of users there. 

517
00:30:24,660 --> 00:30:28,780
So that's kind of the overall 
lending market size. 

518
00:30:29,410 --> 00:30:32,930
I mean if you can look, if you 
think about the overall markets,

519
00:30:33,050 --> 00:30:40,290
you know 56% of the estimated 
value in the stock market are is

520
00:30:40,290 --> 00:30:44,370
intangible assets, a lot of them
that are non fungible, right. 

521
00:30:44,370 --> 00:30:47,450
So if you're looking at the 
traditional world and the total 

522
00:30:47,450 --> 00:30:52,170
value of all items in the world,
most of that value is actually 

523
00:30:52,210 --> 00:30:56,450
non fungible. 
So buildings, super tankers. 

524
00:30:56,450 --> 00:31:00,850
Your car is non fungible so. 
So, so I think the total 

525
00:31:00,850 --> 00:31:03,530
addressable market of what's 
eventually going to be tokenized

526
00:31:03,530 --> 00:31:07,610
and represented as nonfungible 
is as big or even bigger 

527
00:31:07,610 --> 00:31:11,090
potentially than EU SC20 or the 
the fungible market. 

528
00:31:11,850 --> 00:31:14,970
But we still very, very early in
that adoption cycle. 

529
00:31:16,730 --> 00:31:20,210
Yeah, I'm just even to add there
some additional stats as well 

530
00:31:20,210 --> 00:31:22,890
just to to give you a sense. 
If you look at the global 

531
00:31:22,890 --> 00:31:27,210
equities market, it's about 120 
trillion, global real estate is 

532
00:31:27,210 --> 00:31:33,430
320, global debt markets 300. 
So you know roughly between all 

533
00:31:33,430 --> 00:31:37,350
of those if you kind of get you 
know roughly even at like 2% 

534
00:31:37,350 --> 00:31:41,750
penetration there, you begin to 
actually eclipse the size of the

535
00:31:41,750 --> 00:31:44,270
E or C20 market in and of 
itself. 

536
00:31:45,030 --> 00:31:47,750
And maybe in the near term, 2% 
is a little bit on the high 

537
00:31:47,750 --> 00:31:49,710
side. 
But now I can easily see in the 

538
00:31:49,710 --> 00:31:54,750
next maybe let's call it two to 
four years, like half a half a 

539
00:31:54,750 --> 00:31:56,870
percent of of some of those 
assets starting to come on 

540
00:31:56,870 --> 00:31:59,460
chain. 
Because we are speaking to a lot

541
00:31:59,460 --> 00:32:05,460
of the protocols behind that are
actually actually doing this and

542
00:32:05,900 --> 00:32:09,300
it's happening a lot faster pace
than people I think realize. 

543
00:32:11,140 --> 00:32:14,060
One thing I'm curious about is I
was like looking at some of the 

544
00:32:14,060 --> 00:32:16,620
stats. 
And I mean, first of all, what 

545
00:32:16,620 --> 00:32:20,940
stood out to me was that, like, 
actually nifty files stats look 

546
00:32:20,940 --> 00:32:24,840
like pretty good. 
Right where, OK, it's down a bit

547
00:32:24,840 --> 00:32:30,200
but not that much right from 
like the sort of peak and then 

548
00:32:30,200 --> 00:32:33,880
you know there was also like is 
that for. 

549
00:32:34,720 --> 00:32:36,840
So yeah, I mean there there you 
felt like well that probably 

550
00:32:36,840 --> 00:32:40,760
looks better than most like DEFY
charts, right, for like DEFY 

551
00:32:40,760 --> 00:32:43,920
protocols. 
But then when there was also the

552
00:32:44,120 --> 00:32:49,360
thing where you had the like the
other lending competitors? 

553
00:32:49,780 --> 00:32:54,500
And then you have basically Blur
coming in a few months ago and 

554
00:32:54,500 --> 00:32:57,740
just now having on these charts 
at least it's correct, something

555
00:32:57,740 --> 00:33:02,940
like 90% of the loan volume. 
I'm curious, can you talk about 

556
00:33:03,060 --> 00:33:05,580
what happened there? 
Is that correct? 

557
00:33:05,620 --> 00:33:08,300
What's going on and what did 
Blur do? 

558
00:33:09,460 --> 00:33:12,660
Yeah, yeah. 
So I think important thing to. 

559
00:33:13,630 --> 00:33:17,630
For some reason, volume really 
has been the metric that a lot 

560
00:33:17,630 --> 00:33:22,270
of people look at in the NFT 
lending space, which doesn't 

561
00:33:22,270 --> 00:33:25,190
really make any sense, right? 
And if you're looking at DEFY 

562
00:33:25,190 --> 00:33:27,630
lending protocols, you're not 
looking at daily volume. 

563
00:33:27,630 --> 00:33:29,590
What you're actually looking at 
is TVL, right. 

564
00:33:29,590 --> 00:33:33,950
So how much data is 
collateralized in the protocol? 

565
00:33:34,310 --> 00:33:37,390
And that's very much a factor of
two things. 

566
00:33:37,390 --> 00:33:39,710
It's both your volume and your 
duration. 

567
00:33:40,510 --> 00:33:44,910
And and So what we're seeing in 
Blend is if you compare them to 

568
00:33:45,350 --> 00:33:49,190
so Blend is the blur lending 
offering that they've got. 

569
00:33:49,750 --> 00:33:53,390
So if you compare their 
durations to the peer-to-peer 

570
00:33:53,390 --> 00:33:56,790
protocols, you know so our 
average duration is almost 40 

571
00:33:56,790 --> 00:33:59,710
days. 
The average duration for a blend

572
00:33:59,710 --> 00:34:04,990
loan is 0.9 days, 0.94 roughly. 
So they just have to do 

573
00:34:04,990 --> 00:34:08,310
significantly more volume to 
keep the the outstanding debt. 

574
00:34:09,449 --> 00:34:12,409
So that's so that's one thing 
that's kind of, it's very much 

575
00:34:12,409 --> 00:34:14,409
skewed. 
So looking yes they do 90% of 

576
00:34:14,409 --> 00:34:18,090
the volume but they need to do 
6% of the outstanding debt every

577
00:34:18,090 --> 00:34:20,770
single day just to stay in, in 
the same place. 

578
00:34:20,770 --> 00:34:24,210
So on the outstanding debt side,
they actually kind of more in 

579
00:34:24,210 --> 00:34:29,610
line with everybody else kind of
in the 18 to $20 million at the 

580
00:34:29,610 --> 00:34:32,530
moment. 
That makes perfect sense, yeah? 

581
00:34:32,530 --> 00:34:35,090
Yeah, no, and I agree. 
I agree with your reasoning. 

582
00:34:35,090 --> 00:34:38,610
That seems like a more relevant 
metric for protocol like that. 

583
00:34:39,120 --> 00:34:40,760
Exactly. 
And then I mean the other thing 

584
00:34:40,760 --> 00:34:45,040
that's also happening there with
blur and blend is that there's 

585
00:34:45,040 --> 00:34:49,679
very strong token incentives at 
the moment that are going on. 

586
00:34:49,679 --> 00:34:54,600
And just because of the way the 
incentive structure is incentive

587
00:34:54,600 --> 00:35:01,000
structure is set up taking out a
loan as part of your if you're 

588
00:35:01,000 --> 00:35:04,200
trying to maximize the number of
points that you did lower points

589
00:35:04,200 --> 00:35:07,240
that you're getting as part of a
specific trade. 

590
00:35:07,930 --> 00:35:11,930
Taking out a loan on an asset 
that you bought in a bid and 

591
00:35:11,930 --> 00:35:16,330
then selling it out of the loan 
contract actually gives you 

592
00:35:16,330 --> 00:35:18,650
extra points because you get 
bonus points for taking out a 

593
00:35:18,650 --> 00:35:21,650
loan. 
And selling assets out of the 

594
00:35:21,730 --> 00:35:23,970
loan contract means you bypass 
royalty. 

595
00:35:24,090 --> 00:35:26,850
So it's actually the cheapest 
way to sell an asset. 

596
00:35:26,850 --> 00:35:30,010
So you'll see a lot of the blend
volume is. 

597
00:35:30,590 --> 00:35:32,990
Is really a function of this 
spot volume. 

598
00:35:32,990 --> 00:35:36,590
So the more people are kind of 
getting assets hits on bids, the

599
00:35:36,590 --> 00:35:38,150
more likely they are to take out
a loan. 

600
00:35:38,630 --> 00:35:42,110
And it's just part of that kind 
of optimization loop that people

601
00:35:42,110 --> 00:35:45,390
are using. 
The royalties things 

602
00:35:45,390 --> 00:35:49,430
interesting, does that does it 
have some applicability as well 

603
00:35:49,430 --> 00:35:54,230
in the nifty 5 case? 
Like let's say in case someone's

604
00:35:54,230 --> 00:35:57,390
loan gets liquidated then 
royalties are due for the 

605
00:35:57,390 --> 00:35:58,740
creator. 
Yeah. 

606
00:35:58,740 --> 00:36:02,220
At the moment the the they 
aren't royalties being paid out 

607
00:36:02,620 --> 00:36:06,380
on a liquidation just because 
it's quite difficult to have a 

608
00:36:06,380 --> 00:36:09,980
standardized Unchained way to 
know exactly what those 

609
00:36:09,980 --> 00:36:12,180
royalties are. 
So you know our things all get 

610
00:36:12,180 --> 00:36:16,620
settled as part of the actual 
loan smart contract, but you 

611
00:36:16,620 --> 00:36:19,260
know, so we're very open to 
adding those in. 

612
00:36:19,420 --> 00:36:21,740
What's there? 
Is it like a fully Unchained way

613
00:36:21,740 --> 00:36:24,420
to actually determine what the 
royalties are for a specific 

614
00:36:24,420 --> 00:36:28,550
project? 
And then typically at the end of

615
00:36:28,550 --> 00:36:32,630
a loan, if it's been liquidated,
the lender will go to one of the

616
00:36:32,630 --> 00:36:36,870
various marketplaces and sell it
there and determine at that 

617
00:36:36,870 --> 00:36:40,430
moment in time whether they 
would like to or not pay the 

618
00:36:40,430 --> 00:36:44,830
royalties at that moment. 
Because paying royalties is 

619
00:36:44,830 --> 00:36:48,190
something that sort of like the 
factor is mostly optional or how

620
00:36:48,190 --> 00:36:51,270
does it work? 
Pretty much there's there's not 

621
00:36:51,270 --> 00:36:55,550
an easy way for protocol for 
projects to enforce this at the 

622
00:36:55,550 --> 00:36:59,530
smart contract level. 
We've seen a number of projects 

623
00:36:59,730 --> 00:37:04,730
essentially migrating their the 
USC 721 contracts to allow them 

624
00:37:04,730 --> 00:37:10,090
to block marketplaces that 
bypass the actual royalty 

625
00:37:10,090 --> 00:37:13,650
payments. 
So we'll see where that kind of 

626
00:37:13,650 --> 00:37:16,170
ends up. 
It's quite a it's a bit of a 

627
00:37:17,330 --> 00:37:20,730
game theory set up there where 
you kind of. 

628
00:37:21,320 --> 00:37:24,480
Asset producers are trying to 
maximize their royalties while 

629
00:37:24,480 --> 00:37:27,200
platforms are trying to maximize
volume. 

630
00:37:27,200 --> 00:37:29,960
So the cheaper the cost of 
transactions will like you are 

631
00:37:29,960 --> 00:37:36,240
to take that volume. 
I think you probably see these 

632
00:37:36,240 --> 00:37:40,240
real world assets platforms. 
I suspect we'll probably have a 

633
00:37:40,240 --> 00:37:45,200
little bit more. 
Power to enforce royalties, you 

634
00:37:45,200 --> 00:37:47,080
know because because they 
actually own the physical 

635
00:37:47,080 --> 00:37:50,120
assets, you know they can just 
say well you can't redeem this 

636
00:37:50,120 --> 00:37:54,400
asset until you've paid 
royalties on that actually due. 

637
00:37:54,400 --> 00:37:56,040
So. 
So I think that they've got a 

638
00:37:56,040 --> 00:38:02,320
stronger Moat in terms of 
royalties as being a value 

639
00:38:02,320 --> 00:38:06,080
stream for them. 
And this is another reason I 

640
00:38:06,080 --> 00:38:08,880
think a lot of the projects that
raised money kind of during the 

641
00:38:08,880 --> 00:38:10,610
last. 
Big bull run. 

642
00:38:10,770 --> 00:38:14,290
A lot of them were really 
relying on royalties to kind of 

643
00:38:14,290 --> 00:38:20,930
be their ongoing cash flow and 
revenue and that's largely 

644
00:38:20,930 --> 00:38:24,090
evaporated over the last six 
months or so. 

645
00:38:25,770 --> 00:38:27,970
Yeah, that's interesting. 
I mean, I guess it was always 

646
00:38:27,970 --> 00:38:31,370
something that was kind of like,
well, can you really enforce 

647
00:38:31,370 --> 00:38:33,970
that, right. 
And that's interesting how 

648
00:38:33,970 --> 00:38:36,530
quickly that seems to have sort 
of moved to the. 

649
00:38:37,700 --> 00:38:41,300
You know, I guess equilibrium of
everyone ignores the royalties. 

650
00:38:42,220 --> 00:38:45,060
Yeah. 
But like, I think it's an area 

651
00:38:45,060 --> 00:38:49,700
that's a big double edged sword 
and that for creators, the 

652
00:38:49,700 --> 00:38:54,740
blockchain offers you a new Ave.
to access consumers, customers 

653
00:38:54,740 --> 00:38:57,460
which you know from which you 
can you can generate revenue. 

654
00:38:57,860 --> 00:39:01,180
But on the other side of that, 
one of the great aspects of 

655
00:39:01,980 --> 00:39:05,520
Ethereum in particular is the 
permissionlessness of it, so 

656
00:39:05,520 --> 00:39:11,560
that you can create essentially 
ways around giving creators 

657
00:39:11,560 --> 00:39:14,560
their dues essentially. 
So definitely a double edged 

658
00:39:14,560 --> 00:39:18,000
sword there. 
Can you talk a little bit about 

659
00:39:18,000 --> 00:39:23,960
this the maybe comparing Blend 
and Nifty 5 or maybe are there 

660
00:39:24,040 --> 00:39:27,680
like what are the other kind of 
NFT lending protocols doing and 

661
00:39:27,680 --> 00:39:30,600
what are kind of the main 
dimensions on which they differ?

662
00:39:31,590 --> 00:39:34,550
Yeah. 
So I think thinking about 

663
00:39:34,550 --> 00:39:37,630
peer-to-peer versus peer to 
pool, that's a little bit more 

664
00:39:37,630 --> 00:39:40,830
on the technical level. 
If you're looking at it from an 

665
00:39:40,830 --> 00:39:44,550
end user perspective. 
I think the big distinction 

666
00:39:44,550 --> 00:39:48,630
there at the moment is, is it 
fixed duration or variable 

667
00:39:48,630 --> 00:39:52,310
duration and fixed interest 
versus variable interest And 

668
00:39:52,310 --> 00:39:55,710
that just, you know, fixed 
duration, fixed interest is just

669
00:39:55,710 --> 00:39:59,190
much more interesting for us for
a specific user cohort. 

670
00:39:59,190 --> 00:40:00,470
So it's a big DP people who 
have. 

671
00:40:00,880 --> 00:40:03,720
Longer term views who are 
collecting these assets because 

672
00:40:03,720 --> 00:40:06,880
they want to collect them and 
they actually want to hold them 

673
00:40:06,880 --> 00:40:09,120
over the long run. 
And then there's a separate 

674
00:40:09,120 --> 00:40:12,920
cohort which is much more trader
focused to like much shorter 

675
00:40:12,920 --> 00:40:17,720
term deals trying to maximize 
yield over you know 48 to you 

676
00:40:17,720 --> 00:40:19,640
know 72 hours something like 
that. 

677
00:40:20,320 --> 00:40:27,520
And those types of asset owners 
really prefer variable duration,

678
00:40:27,520 --> 00:40:29,800
variable interest because they 
can come in and out of those 

679
00:40:29,800 --> 00:40:32,000
loans in a shorter period of 
time. 

680
00:40:32,960 --> 00:40:35,600
And then you know then I think 
the other thing which is a 

681
00:40:35,600 --> 00:40:39,680
little bit less of an issue 
right now which was but more of 

682
00:40:39,680 --> 00:40:42,120
an issue in the in the past and 
I think will become an issue 

683
00:40:42,120 --> 00:40:47,640
again is can you actually use 
this asset while it's being used

684
00:40:47,960 --> 00:40:50,560
locked up in an actual loan, 
right. 

685
00:40:50,560 --> 00:40:54,590
So at the peak of the bull run 
you would have lots of air drops

686
00:40:54,590 --> 00:40:59,350
and events and you know you had 
to sign into this discord with 

687
00:40:59,350 --> 00:41:02,230
your board ape so that you can 
get access to this other thing 

688
00:41:02,230 --> 00:41:04,470
that then gives you mint or this
other thing. 

689
00:41:04,470 --> 00:41:07,870
So you know you wanted to be 
able to use the asset once in 

690
00:41:07,870 --> 00:41:12,790
escrow. 
So typically the it's easier to 

691
00:41:12,790 --> 00:41:16,750
do that within peer-to-peer 
versus peer to pool because 

692
00:41:16,750 --> 00:41:19,590
assets are like pulled into a 
big bucket together. 

693
00:41:20,380 --> 00:41:24,460
But I think that is the big 
differentiator right now. 

694
00:41:24,980 --> 00:41:29,340
And then and I think over time 
as these assets become more and 

695
00:41:29,340 --> 00:41:33,580
more have more of a history, you
know people are more willing to 

696
00:41:33,580 --> 00:41:35,940
land over the on them over the 
long run. 

697
00:41:35,980 --> 00:41:40,420
You know, I think features that 
really drive longer duration are

698
00:41:40,420 --> 00:41:43,500
going to become more important 
over over the next 6 to 12 

699
00:41:43,540 --> 00:41:46,660
months. 
I'm actually curious to ask 

700
00:41:46,660 --> 00:41:51,270
about that, so. 
Yeah, like using the NFT while 

701
00:41:51,270 --> 00:41:54,670
it's being used let's say on 
nifify as collateral, does that,

702
00:41:54,670 --> 00:41:57,270
like how does that work? 
It does it depend on the 

703
00:41:57,350 --> 00:42:01,190
particular Nft's and yeah, so 
that becomes a little bit more 

704
00:42:01,190 --> 00:42:07,490
tricky because you start running
into this issue where each NFT 

705
00:42:07,490 --> 00:42:11,730
has some idiosyncrasies on how 
you allow, how you can use them,

706
00:42:11,730 --> 00:42:13,730
what affects the value, all 
those kind of things. 

707
00:42:14,010 --> 00:42:19,290
But so our solution to that is 
it should be going on over the 

708
00:42:19,290 --> 00:42:22,050
next few months. 
We've got an integration with 

709
00:42:22,530 --> 00:42:27,450
NOSA Safe and what that allows 
us to do is at the moment what 

710
00:42:27,450 --> 00:42:31,050
happens is we have a single 
escrow contract that all assets 

711
00:42:31,050 --> 00:42:34,700
go into. 
So instead of doing that, what 

712
00:42:34,700 --> 00:42:38,300
we will allow users to do in the
future is you meant a new 

713
00:42:38,300 --> 00:42:43,620
niftify safe, which is just a 
notice of safe where you as well

714
00:42:43,620 --> 00:42:48,140
as the niftify protocol or 
signers on that safe. 

715
00:42:48,620 --> 00:42:51,780
And then essentially what we do 
is we block transfer of that 

716
00:42:51,780 --> 00:42:57,020
asset during the loan period, so
it goes into the safe. 

717
00:42:57,970 --> 00:43:01,450
And then the safe in combination
with our actual protocol just 

718
00:43:01,450 --> 00:43:03,210
says this asset is not 
transferable. 

719
00:43:03,210 --> 00:43:06,730
So it blocks any transfer 
methods on that asset for the 

720
00:43:06,730 --> 00:43:09,210
duration of the loan. 
As soon as the loan is finished,

721
00:43:09,210 --> 00:43:11,370
that transfer gets unlocked 
again. 

722
00:43:11,610 --> 00:43:13,210
But everything else you can 
still do. 

723
00:43:13,210 --> 00:43:18,650
So you can still use that safe 
to connect to a Discord. 

724
00:43:18,970 --> 00:43:23,370
Using what it's connect. 
You can connect to any 

725
00:43:23,370 --> 00:43:27,530
application that uses that asset
and use it as is in the game. 

726
00:43:27,730 --> 00:43:31,250
As long as the transaction 
doesn't result in a change of 

727
00:43:31,250 --> 00:43:33,890
ownership of that asset at the 
end of it, we'll just refer to 

728
00:43:33,890 --> 00:43:38,490
any transaction that does that. 
Yeah, that sounds like an 

729
00:43:38,490 --> 00:43:42,490
elegant solution, yeah. 
Yeah. 

730
00:43:42,490 --> 00:43:45,610
It's a little bit more 
complicated and tricky than just

731
00:43:45,650 --> 00:43:49,570
kind of building a vault that's 
like protocol specific. 

732
00:43:50,480 --> 00:43:53,400
But you know, I think that the 
right solution there is to plug 

733
00:43:53,400 --> 00:43:57,960
into the infrastructure that has
proven itself to be the core 

734
00:43:57,960 --> 00:44:01,760
part of Web three really. 
And you know, we don't then need

735
00:44:01,760 --> 00:44:05,160
to, you know as accounts 
abstraction gets added onto Nosa

736
00:44:05,160 --> 00:44:07,400
safe and they add additional 
features. 

737
00:44:07,440 --> 00:44:11,640
You know you get all of that for
free just by using that as your 

738
00:44:11,920 --> 00:44:17,220
escrow wallet inside. 
And and then do you have to also

739
00:44:17,220 --> 00:44:19,700
take into account, I think you 
mentioned it before a little bit

740
00:44:19,700 --> 00:44:22,300
like, oh, what if they're like 
other things that somebody could

741
00:44:22,300 --> 00:44:25,540
do with an NFT that maybe, I 
don't know, changes they value? 

742
00:44:25,940 --> 00:44:28,820
Damage the value? 
Yeah, something like that. 

743
00:44:29,580 --> 00:44:33,580
Yeah, I think that that becomes 
really difficult to handle in a 

744
00:44:33,580 --> 00:44:35,620
generic way, right. 
So. 

745
00:44:35,620 --> 00:44:39,220
So I think that there's always 
gonna be some, you know, doing 

746
00:44:39,220 --> 00:44:44,120
these kinds of loans in these 
like segregated escrow is what 

747
00:44:44,120 --> 00:44:48,920
we're calling it. 
Really for art, 99.9% of the 

748
00:44:48,920 --> 00:44:52,960
time it's gonna be fine. 
For gaming assets, maybe not 

749
00:44:52,960 --> 00:44:55,200
right. 
So I give you a good example of 

750
00:44:55,200 --> 00:45:00,280
this is say you've got a crypto 
Kitty, a crypto Kitty. 

751
00:45:00,280 --> 00:45:03,400
A virgin crypto Kitty is more 
valuable than a crypto Kitty 

752
00:45:03,400 --> 00:45:06,480
that's been bred. 
Now that doesn't change 

753
00:45:06,520 --> 00:45:10,480
ownership, but that's purely 
based on the internal mechanics 

754
00:45:10,480 --> 00:45:15,120
of the game and the community, 
that people value virgin Crypto 

755
00:45:15,120 --> 00:45:17,840
kitties more than they do non 
virgin ones. 

756
00:45:18,360 --> 00:45:23,710
Now that's really difficult for 
any third party platform to go 

757
00:45:24,150 --> 00:45:27,750
write a set of rules for that 
make that acceptable for every 

758
00:45:27,750 --> 00:45:32,070
single possible asset out there.
So do you think that there's 

759
00:45:32,070 --> 00:45:33,790
always gonna be some 
customization? 

760
00:45:33,790 --> 00:45:37,450
One of the big things we are 
doing as we kind of keep 

761
00:45:37,450 --> 00:45:41,570
evolving the protocol is finding
hooks and places where people 

762
00:45:41,570 --> 00:45:46,170
might wanna inject some custom 
logic into the process. 

763
00:45:46,370 --> 00:45:49,290
So basically being able to say, 
well, when we lock a crypto 

764
00:45:49,290 --> 00:45:52,770
Kitty in this, in the escrow 
smart contract, there's an extra

765
00:45:52,770 --> 00:45:55,530
set of validation that you need 
to do to make sure that the 

766
00:45:55,530 --> 00:45:57,730
actual transactions can go 
through. 

767
00:45:58,130 --> 00:46:02,370
Obviously there's some gas costs
implications there, but I think 

768
00:46:02,370 --> 00:46:06,490
over the long run in general 
this is a problem that you have 

769
00:46:06,490 --> 00:46:13,530
much more with NFTS than you do 
with EOC 20s, because most EOC 

770
00:46:13,530 --> 00:46:16,530
20s basically operate in the 
same way. 

771
00:46:16,610 --> 00:46:20,170
You know, they don't have built 
in logic and built in, you know,

772
00:46:20,170 --> 00:46:23,650
properties that might change as 
part of the usage inside of 

773
00:46:23,650 --> 00:46:27,170
another protocol. 
Whereas because an NFT can 

774
00:46:27,170 --> 00:46:31,330
really be anything, it's just a 
unique digital ownable thing, 

775
00:46:32,020 --> 00:46:35,740
They can really be anything. 
So in some scenarios it's harder

776
00:46:35,740 --> 00:46:41,060
to have very generic pieces of 
of infrastructure built for 

777
00:46:41,060 --> 00:46:44,660
them. 
And what does the what does the 

778
00:46:44,660 --> 00:46:48,540
Nitify roadmap look like? 
What's next for you guys to 

779
00:46:48,540 --> 00:46:52,420
build? 
Yeah, So what I mentioned 

780
00:46:52,460 --> 00:46:55,740
earlier, duration I think 
becomes really important. 

781
00:46:55,740 --> 00:47:01,740
So different features that 
really make it easier for both 

782
00:47:01,740 --> 00:47:05,660
borrowers and lenders to take 
more risk over longer duration. 

783
00:47:06,060 --> 00:47:10,220
So you know things along that 
lines are things like 

784
00:47:10,220 --> 00:47:15,500
refinancing interest in only 
loans where at least the the the

785
00:47:15,500 --> 00:47:18,860
lender is getting interest 
payments during the actual loan 

786
00:47:18,860 --> 00:47:22,460
period. 
You know potentially early 

787
00:47:22,460 --> 00:47:25,620
repayment of loans so that you 
can take out a long loan but you

788
00:47:25,620 --> 00:47:28,700
know you can repay earlier. 
There's no so safe that we that 

789
00:47:28,700 --> 00:47:32,950
we spoke about. 
So and then a number of 

790
00:47:32,950 --> 00:47:36,510
different things that just make 
it more efficient for lenders to

791
00:47:36,510 --> 00:47:40,110
deploy capital. 
So at the moment we've got, you 

792
00:47:40,110 --> 00:47:43,670
can make offers on individual 
assets, you can make offers on 

793
00:47:44,270 --> 00:47:46,990
like a whole collection. 
And then we've got API 

794
00:47:47,310 --> 00:47:51,510
integrations like Storm said, 
where you can kind of watch our 

795
00:47:51,510 --> 00:47:54,390
order book and make these 
individual offers. 

796
00:47:54,830 --> 00:47:58,580
But just expanding that and kind
of making it easier for less 

797
00:47:58,580 --> 00:48:01,980
technical people to compete with
what the bots guys can do, 

798
00:48:02,380 --> 00:48:05,260
making the collection offers 
more powerful, being able to 

799
00:48:05,260 --> 00:48:08,460
limit it to specific ranges, 
those kind of things. 

800
00:48:10,020 --> 00:48:17,180
So where are the interest rate 
levels at the moment varies a 

801
00:48:17,180 --> 00:48:21,540
lot depending on the assets. 
So Storm spends day in, day out 

802
00:48:21,540 --> 00:48:24,700
dealing with these things. 
Maybe he's got a better view 

803
00:48:24,700 --> 00:48:27,290
there. 
Yeah, absolutely. 

804
00:48:27,930 --> 00:48:31,530
I suppose because of first 
concept, it's been fascinating 

805
00:48:31,530 --> 00:48:35,930
to watch even over the last, 
let's call it 6 to 12 months 

806
00:48:36,170 --> 00:48:39,450
rates just continuing to fall 
across the board. 

807
00:48:40,090 --> 00:48:43,410
And that's really a function of 
there's quite a lot of lenders 

808
00:48:43,410 --> 00:48:48,170
who are actively involved in the
space and like really actively 

809
00:48:48,170 --> 00:48:51,010
deploying capital against NFT 
loans. 

810
00:48:51,370 --> 00:48:54,370
And so as a result, the more 
lenders, more competition. 

811
00:48:54,830 --> 00:48:56,870
It's fantastic for borrowers 
because they're essentially 

812
00:48:56,870 --> 00:49:02,070
competing to undercut each other
to secure these loans from 

813
00:49:02,070 --> 00:49:05,270
borrowers. 
So you know where are rates more

814
00:49:05,270 --> 00:49:08,390
specifically? 
So probably for something like a

815
00:49:08,550 --> 00:49:12,070
crypto punk and maybe I can go 
through some of the the more 

816
00:49:12,070 --> 00:49:15,150
major collections that are 
active on the platform, 

817
00:49:15,390 --> 00:49:18,390
something like a crypto punk. 
As an example, if you wanted to 

818
00:49:18,390 --> 00:49:21,870
get a 30 day loan, you could 
secure somewhere in the range of

819
00:49:22,230 --> 00:49:26,370
80 to 90% loan to value. 
At a rate of in the range of 

820
00:49:26,370 --> 00:49:31,810
let's call it 8 to 10% APR and 
actually similarly for one year 

821
00:49:32,010 --> 00:49:35,130
duration loans against crypto 
punks you could probably look at

822
00:49:35,130 --> 00:49:39,090
somewhere in the range of 70 to 
80% loan to value maybe a little

823
00:49:39,090 --> 00:49:43,730
bit higher on the APR side, 
let's call it 10 to 12% and 

824
00:49:43,730 --> 00:49:45,370
again that's for for a one year 
loan. 

825
00:49:45,890 --> 00:49:50,970
So probably, you know, alongside
punks, there are two other you 

826
00:49:50,970 --> 00:49:53,050
know what we term like the 
really true. 

827
00:49:53,760 --> 00:49:57,360
Blue chip collections like we're
we're lucky, we have a very 

828
00:49:57,360 --> 00:49:59,640
unique lens through which we see
the NFT market. 

829
00:49:59,640 --> 00:50:01,640
There's like the NFT credit 
markets. 

830
00:50:02,880 --> 00:50:05,880
And so we really get to see like
what collections are being 

831
00:50:06,200 --> 00:50:09,760
underwritten or underscored as 
like the true blue chips because

832
00:50:09,760 --> 00:50:12,360
it has the lenders like offering
the lowest rates for the for the

833
00:50:12,360 --> 00:50:15,240
longest terms. 
And so alongside punks, you also

834
00:50:15,240 --> 00:50:17,920
have crummy squiggles. 
By, of course, the legend that 

835
00:50:17,920 --> 00:50:22,600
is Snow fro and then Auto glyphs
as well, and early larval labs. 

836
00:50:23,050 --> 00:50:25,730
General generative art projects.
So they're probably your main 

837
00:50:25,730 --> 00:50:33,610
three, lowest, highest LTV and 
also lowest APR collections and 

838
00:50:33,610 --> 00:50:36,930
then for other collections more 
let's call it you know, other 

839
00:50:36,930 --> 00:50:40,090
kind of profile pictures that 
that you might costically know. 

840
00:50:40,930 --> 00:50:43,690
Apes for example is going to be 
a little bit higher on the on 

841
00:50:43,690 --> 00:50:47,290
the APR side, maybe in the range
of 15%, maybe looking at 

842
00:50:47,290 --> 00:50:52,110
something like a 70% LTV. 
And then as you migrate across 

843
00:50:52,110 --> 00:50:54,990
like the risk spectrum, let's 
call it, so the lesser known 

844
00:50:54,990 --> 00:51:00,030
projects, you probably get up to
maybe in the range of 20 to 40% 

845
00:51:00,030 --> 00:51:02,630
Apr. 
And the typical durations there 

846
00:51:02,630 --> 00:51:06,230
are around 30 days, so that the 
classic duration on the platform

847
00:51:06,230 --> 00:51:09,870
is 30 days. 
I know what actually maybe some 

848
00:51:09,870 --> 00:51:14,040
of the best odd blocks curated 
collections, you're probably 

849
00:51:14,040 --> 00:51:19,240
getting similar rates to the 
squiggles and auto glyphs, 

850
00:51:19,240 --> 00:51:20,960
right? 
Maybe slightly slightly higher, 

851
00:51:20,960 --> 00:51:23,960
maybe slightly lower LTV just 
because they're not quite as 

852
00:51:23,960 --> 00:51:25,960
liquid. 
But you know things like 

853
00:51:25,960 --> 00:51:31,320
Fedanzas or ringers, you know 
those those kind of top tier art

854
00:51:31,320 --> 00:51:34,600
projects also getting rates kind
of in that in that same range. 

855
00:51:35,440 --> 00:51:36,400
Yeah. 
That's a great point. 

856
00:51:36,400 --> 00:51:39,760
There's a very strong bid on on 
the kind of top tier art blocks 

857
00:51:39,760 --> 00:51:41,980
across the board. 
I can actually just generally 

858
00:51:41,980 --> 00:51:46,100
art blocks more generally too, 
so the kind of full collections 

859
00:51:46,100 --> 00:51:48,380
of art blocks there. 
Yeah. 

860
00:51:48,380 --> 00:51:49,980
Thanks so much. 
That was very helpful. 

861
00:51:51,340 --> 00:51:54,300
This is like a kind of related 
topic I wanted to talk a little 

862
00:51:54,300 --> 00:51:57,980
bit about. 
So Steven, you mentioned in the 

863
00:51:57,980 --> 00:52:02,020
beginning, right, you were an 
artist and that you needed some 

864
00:52:02,020 --> 00:52:05,700
work around generative art. 
I'm like wondering also zooming 

865
00:52:05,700 --> 00:52:10,700
out a little bit. 
What's the state of the NFT art 

866
00:52:10,700 --> 00:52:15,020
market and what do you feel are 
the most interesting and cool 

867
00:52:15,020 --> 00:52:19,500
things happening? 
Yeah, so I think broadly you 

868
00:52:19,500 --> 00:52:24,060
have two big groups. 
So it would be the fully 

869
00:52:24,060 --> 00:52:29,220
Unchained generative arts and 
then more the one of one arts 

870
00:52:29,580 --> 00:52:36,060
where it's is it fully generated
on chain, the arts is produces 

871
00:52:36,060 --> 00:52:39,660
some kind of digital image that 
they then associate with an 

872
00:52:39,660 --> 00:52:43,300
actual NFTE versus the fully 
Unchained generative arts which 

873
00:52:43,300 --> 00:52:46,860
is orderless art blocks. 
And you know there's a few other

874
00:52:46,900 --> 00:52:51,540
protocols that are doing that 
now and these assets essentially

875
00:52:52,060 --> 00:52:54,780
the image itself is not stored 
on chain. 

876
00:52:54,780 --> 00:52:58,500
What's stored on chain is an 
algorithm that given a specific 

877
00:52:58,500 --> 00:53:02,970
hash can regenerate that image 
at any resolution. 

878
00:53:03,010 --> 00:53:06,090
So those are kind of the two 
broad groups I would say. 

879
00:53:06,130 --> 00:53:12,290
In the Unchained art side of 
things, the generative pieces 

880
00:53:12,290 --> 00:53:16,370
are typically part of a 
collection, so they are 512 

881
00:53:16,370 --> 00:53:21,970
autoglyphs. 
So there's more of those assets.

882
00:53:21,970 --> 00:53:26,120
So they typically have a larger 
collector base, which makes them

883
00:53:26,120 --> 00:53:28,440
a little bit more liquid. 
So they trade a little bit more 

884
00:53:28,440 --> 00:53:29,960
often. 
So it's easier to know what the 

885
00:53:29,960 --> 00:53:32,840
price is. 
If you do get a default, it's 

886
00:53:32,840 --> 00:53:36,160
easier to sell those items 
again. 

887
00:53:37,280 --> 00:53:40,800
So those are kind of the two 
broad categories there. 

888
00:53:40,960 --> 00:53:44,040
I think both of them have found 
strong product market fits 

889
00:53:44,440 --> 00:53:46,240
store. 
Maybe you can talk about some 

890
00:53:46,240 --> 00:53:50,520
big sales and prices and how 
they've held up in the recent 

891
00:53:50,520 --> 00:53:53,640
market? 
Yeah, look, exactly so. 

892
00:53:54,250 --> 00:53:57,650
I think it's been very 
interesting as the profile 

893
00:53:57,650 --> 00:54:02,370
picture markets across the board
has kind of been relatively weak

894
00:54:02,370 --> 00:54:05,770
and and the prices has lowered. 
It's called over the last six to

895
00:54:05,770 --> 00:54:10,930
nine months where you look at 
the higher end of the art blocks

896
00:54:10,930 --> 00:54:13,650
market in particular. 
It's actually remained very, 

897
00:54:13,650 --> 00:54:16,810
very solid and stable and in 
some pockets has increased 

898
00:54:16,810 --> 00:54:19,250
significantly. 
I think when you look at 

899
00:54:19,250 --> 00:54:23,750
something like the recent. 
Goose sale at Sotheby's for $6.2

900
00:54:23,750 --> 00:54:27,550
million, I mean this is a 
category which is here to stay. 

901
00:54:28,070 --> 00:54:32,910
You know it's it's known that 
there are some ultra high 

902
00:54:32,910 --> 00:54:36,310
networks and high networks now 
starting to double in the market

903
00:54:36,310 --> 00:54:39,150
and build their collection in 
the generative art space. 

904
00:54:40,350 --> 00:54:44,030
So I think it's a category that 
becomes of increasing interest 

905
00:54:44,030 --> 00:54:48,230
to the traditional art world and
then as a result, you know. 

906
00:54:48,950 --> 00:54:51,710
They're kind of are these well 
established credit markets which

907
00:54:51,710 --> 00:54:55,590
exist alongside them as well, 
which actually help to support 

908
00:54:56,670 --> 00:54:58,630
the prices of those assets as 
well. 

909
00:54:59,070 --> 00:55:02,150
Because when you are seeking 
liquidity against the assets 

910
00:55:02,590 --> 00:55:06,870
instead of previously your only 
option was either to sell the 

911
00:55:06,870 --> 00:55:09,750
assets, whereas actually now you
have two options, you can sell 

912
00:55:09,750 --> 00:55:13,950
the asset and or take a loan 
against it, which is actually a 

913
00:55:13,950 --> 00:55:17,470
very typical approach with art 
collectors in the traditional 

914
00:55:17,470 --> 00:55:18,650
art world. 
Yeah. 

915
00:55:18,650 --> 00:55:23,170
And I think another way to think
of that a little bit is to say 

916
00:55:23,170 --> 00:55:29,370
is to say, you know, profile 
pictures at 38th are very 

917
00:55:29,370 --> 00:55:33,970
expensive for a new kind of 
asset that still needs to find 

918
00:55:34,050 --> 00:55:36,610
like exactly where it's driving 
its value from. 

919
00:55:37,090 --> 00:55:41,770
Whereas you know so there was a 
recent Autoglyph sale for 200 

920
00:55:41,890 --> 00:55:48,130
ether that's very cheap for one 
of the, well basically the 1st 

921
00:55:48,620 --> 00:55:53,900
example of a new category in 
modern art, right. 

922
00:55:53,900 --> 00:55:57,580
So so there's and then a lot of 
these ultra high net worth 

923
00:55:57,580 --> 00:56:01,540
individuals that still was 
talking about they aren't 

924
00:56:01,540 --> 00:56:05,980
necessarily crypto native they 
own traditional artworks and and

925
00:56:05,980 --> 00:56:10,140
they're buying in dollars. 
So you know, when these asset 

926
00:56:10,140 --> 00:56:17,470
prices for these NFT art assets 
are dropping in ether terms, at 

927
00:56:17,470 --> 00:56:20,830
some point these collectors are 
looking at them and like well, 

928
00:56:21,110 --> 00:56:23,550
in dollar terms, that's actually
just really cheap for what I'm 

929
00:56:23,550 --> 00:56:26,070
buying here. 
And that's kind of why I think 

930
00:56:26,070 --> 00:56:30,590
you see this floor almost in the
dollar price of some of these 

931
00:56:30,590 --> 00:56:33,470
assets. 
And as Ethereum fluctuates, it 

932
00:56:33,470 --> 00:56:36,710
just doesn't drop below that 
specific floor cuz there's a set

933
00:56:36,710 --> 00:56:41,140
of buyers that I just say okay. 
30 grand or 50 grand for a for a

934
00:56:41,140 --> 00:56:43,740
crypto park is actually cheap, 
so whenever they drop the light 

935
00:56:43,740 --> 00:56:46,100
below that price of USD terms, 
I'll just buy that. 

936
00:56:48,100 --> 00:56:52,980
And what's the what is the 
impact of AI on all of this? 

937
00:56:54,900 --> 00:56:59,500
So AI art is a category itself, 
I think is actually quite 

938
00:56:59,740 --> 00:57:03,180
fascinating, and it's one that 
I'm actually very passionate 

939
00:57:03,180 --> 00:57:05,700
about. 
Probably one of my favorite 

940
00:57:05,700 --> 00:57:08,540
collections that's out there, if
not my favorite. 

941
00:57:08,880 --> 00:57:13,480
Are the Lost Robbie's by Robbie 
Barrett fascinating story behind

942
00:57:13,480 --> 00:57:18,560
them and I mean it's very 
interesting to see whenever one 

943
00:57:18,560 --> 00:57:24,680
of these trades, typically they 
range in the let's call it 175, 

944
00:57:24,760 --> 00:57:28,880
eight to 308th range of of trade
prices. 

945
00:57:29,960 --> 00:57:34,320
It's very interesting to see a 
very visceral reaction of people

946
00:57:34,320 --> 00:57:37,940
on Twitter about how. 
You know, some people just 

947
00:57:37,980 --> 00:57:41,420
consider it completely, you 
know, disgusting or they they 

948
00:57:41,420 --> 00:57:43,900
just don't don't get it. 
And I think when you look at 

949
00:57:44,260 --> 00:57:47,020
pieces of art and and it 
actually has that like emotive 

950
00:57:47,740 --> 00:57:50,340
capacity, you're probably 
looking at it what is quite a 

951
00:57:50,340 --> 00:57:53,580
powerful piece of art. 
So I think as a as a category, 

952
00:57:53,580 --> 00:57:56,940
it's fascinating again. 
In some ways it's similar to 

953
00:57:57,300 --> 00:58:01,820
emergence of generative art 
where you're marrying the medium

954
00:58:01,820 --> 00:58:04,790
of the blockchain with art. 
I think it's very interesting 

955
00:58:04,790 --> 00:58:05,830
here. 
This is the new Dawn. 

956
00:58:05,830 --> 00:58:09,590
If you're marrying a medium of 
AI, the new emergent category 

957
00:58:09,590 --> 00:58:13,350
with art as well. 
And I think as you transverse 

958
00:58:13,350 --> 00:58:17,830
the art history timeline, you 
know in many years time they 

959
00:58:17,830 --> 00:58:21,510
will actually be two seminal 
moments in in art, art history, 

960
00:58:21,630 --> 00:58:24,830
being in a blockchain based art 
and AI based art as well. 

961
00:58:25,820 --> 00:58:27,740
Yeah, exactly. 
And I think also the the 

962
00:58:27,860 --> 00:58:31,980
blockchain based arts and AI 
based art feed into each other 

963
00:58:31,980 --> 00:58:36,860
in a way because one of the 
biggest reasons, you know, it's 

964
00:58:36,860 --> 00:58:40,700
generative arts and digital arts
has been around for quite a long

965
00:58:40,700 --> 00:58:42,860
time. 
They just, they just never 

966
00:58:42,860 --> 00:58:46,700
really, it's really hard to 
actually as a museum or as a 

967
00:58:46,700 --> 00:58:49,940
collector to buy them, right. 
Like what are you actually 

968
00:58:49,940 --> 00:58:53,590
buying? 
You know, are you buying a TV 

969
00:58:53,590 --> 00:58:57,710
that's representing these images
or you're buying a print out of 

970
00:58:57,710 --> 00:58:59,310
that image? 
But you can print as many as you

971
00:58:59,310 --> 00:59:03,110
want there. 
And I think if you didn't have 

972
00:59:03,110 --> 00:59:08,510
the blockchain, AI art would 
probably be less interesting cuz

973
00:59:08,630 --> 00:59:14,030
I think it would be AI graphics 
then as opposed to AI art 

974
00:59:14,030 --> 00:59:16,830
because you can't say that this 
is an original and this is the 

975
00:59:16,830 --> 00:59:18,470
one that I'm actually actually 
selling. 

976
00:59:18,470 --> 00:59:24,220
So this is another reason why I 
think on chain art as a category

977
00:59:24,220 --> 00:59:28,140
is just gonna keep growing, cuz 
it's gonna be new things you can

978
00:59:28,140 --> 00:59:32,580
do, you know, new technologies 
come out, but it's now just a 

979
00:59:32,580 --> 00:59:35,420
new medium. 
In the same way that you got 

980
00:59:35,420 --> 00:59:39,300
painting and sculpting and 
performance art, now you've got 

981
00:59:39,860 --> 00:59:44,220
on chain art as well. 
I think when you look as well 

982
00:59:44,860 --> 00:59:47,780
like the Rafiq Annadal piece 
that's in the MoMA in New York 

983
00:59:47,780 --> 00:59:50,340
at the moment, I mean, I saw it 
in person. 

984
00:59:50,380 --> 00:59:53,180
It's AI generated. 
Absolutely fascinating, 

985
00:59:53,180 --> 00:59:55,420
absolutely captivating. 
And you look at the people sat 

986
00:59:55,420 --> 00:59:59,380
there for 20-30 minutes at a 
time, just taking it in, which 

987
00:59:59,380 --> 01:00:03,700
just simply doesn't happen with 
traditional you know, painting 

988
01:00:03,700 --> 01:00:06,100
medium for example that existed 
to date. 

989
01:00:06,380 --> 01:00:10,900
So I think, you know we live in 
this attention economy and these

990
01:00:10,980 --> 01:00:13,580
artworks as an example of 
generative artwork. 

991
01:00:13,580 --> 01:00:17,180
As you watch, watch it render in
as part of the the fascinating 

992
01:00:17,180 --> 01:00:18,820
engagement that you have with 
that work. 

993
01:00:19,200 --> 01:00:22,760
In the same way, you know, the 
Rafiq piece is just it's utterly

994
01:00:22,760 --> 01:00:25,560
captivating and it's taking art,
I think, to a whole whole new 

995
01:00:25,560 --> 01:00:28,160
level. 
Cool. 

996
01:00:28,160 --> 01:00:30,560
No, I really appreciate that. 
Maybe just a final question 

997
01:00:30,560 --> 01:00:32,520
here. 
So you know you talked in the 

998
01:00:32,520 --> 01:00:34,800
beginning we talked quite a bit 
about you know different 

999
01:00:34,800 --> 01:00:37,880
categories and Ft's real world 
assets and you know how it like 

1000
01:00:37,880 --> 01:00:41,160
so broad when he came to the 
actual you know NFT lending 

1001
01:00:41,160 --> 01:00:45,400
market is, is that still kind of
all focused on some of these art

1002
01:00:45,400 --> 01:00:49,560
and PFP type things. 
And hasn't yet reached to, you 

1003
01:00:49,560 --> 01:00:51,920
know, all these new types of 
Nfts. 

1004
01:00:53,400 --> 01:00:56,080
Yeah. 
So I think there aren't that 

1005
01:00:56,080 --> 01:01:00,440
many assets yet that are real 
world assets that are being 

1006
01:01:00,440 --> 01:01:03,840
represented like like Storm 
said, we speaking to a lot of 

1007
01:01:03,840 --> 01:01:08,400
people at the moment and and you
know what happened in this last 

1008
01:01:08,400 --> 01:01:13,240
bull run is exactly what you'd 
expect, the fully native crypto 

1009
01:01:13,240 --> 01:01:17,420
assets that are. 
You know don't require high 

1010
01:01:17,420 --> 01:01:22,660
transaction throughput, you know
don't require a lot of speed and

1011
01:01:22,660 --> 01:01:26,540
and transaction capacity are the
ones that found product market 

1012
01:01:26,540 --> 01:01:29,100
fit. 
So art really right and some of 

1013
01:01:29,100 --> 01:01:34,180
these peer P's so you're gonna 
seal them taking off and then 

1014
01:01:34,180 --> 01:01:37,020
you saw all of this 
infrastructure being built out. 

1015
01:01:37,020 --> 01:01:41,500
So you know, like we mentioned 
perps lending or you've got 

1016
01:01:41,500 --> 01:01:44,540
indexes, you've got 
fractionalization, you've got 24

1017
01:01:44,540 --> 01:01:46,910
hour marketplaces. 
So now all of this 

1018
01:01:46,910 --> 01:01:51,070
infrastructure has been built 
and a lot of teams saw the 

1019
01:01:51,070 --> 01:01:54,950
potential there and then 
started, raised a bunch of money

1020
01:01:54,950 --> 01:01:58,710
and now started building out the
infrastructure needed to bring 

1021
01:01:58,710 --> 01:02:01,790
more of these real world assets 
on chain. 

1022
01:02:02,550 --> 01:02:07,910
And so we started seeing some 
loans on these assets, so. 

1023
01:02:09,140 --> 01:02:12,020
We've done some loans on some 
empty empty land. 

1024
01:02:12,460 --> 01:02:15,900
You know, there's been some 
loans on Rolexes, you know so, 

1025
01:02:15,900 --> 01:02:19,260
so these things are starting to 
happen, but there's just quite 

1026
01:02:19,260 --> 01:02:23,940
a, there's just not that many 
assets yet that are that have 

1027
01:02:23,940 --> 01:02:26,820
been pulled on chain as those 
grow. 

1028
01:02:27,460 --> 01:02:30,340
You know, the ones that we 
really see taking off initially 

1029
01:02:30,340 --> 01:02:34,140
are the ones that we said that 
are more collectible like. 

1030
01:02:35,450 --> 01:02:37,810
Because there's a big overlap in
the user base. 

1031
01:02:37,810 --> 01:02:40,530
There's a the overlap in how 
they trade, there's an overlap 

1032
01:02:40,530 --> 01:02:43,450
and how you price them. 
They all eat pretty liquid. 

1033
01:02:43,770 --> 01:02:46,570
So the characteristics of those 
assets are quite similar. 

1034
01:02:47,050 --> 01:02:51,530
I suspect once they come on 
chain, those assets actually 

1035
01:02:51,530 --> 01:02:56,290
will be better collateral than 
most Nft's just because the 

1036
01:02:56,290 --> 01:02:59,210
thing that's new is how you 
represent the asset. 

1037
01:02:59,370 --> 01:03:03,210
But the asset itself has got a 
much longer trading history than

1038
01:03:03,570 --> 01:03:06,340
what? 
You know the new crop of crypto 

1039
01:03:06,340 --> 01:03:12,300
native Nft's have so, so you'll 
much quicker see higher LTV, 

1040
01:03:12,300 --> 01:03:15,580
lower APR, longer duration loans
for these assets. 

1041
01:03:16,020 --> 01:03:19,180
And I also think that there's 
quite a lot of collectors who 

1042
01:03:19,180 --> 01:03:24,020
are sitting on quite a lot of 
value that they just can't 

1043
01:03:24,020 --> 01:03:27,860
access at the moment. 
Because if you got a $50,000 

1044
01:03:27,860 --> 01:03:31,140
watch, it's actually quite hard 
to get a loan from a bank on 

1045
01:03:31,140 --> 01:03:33,040
that. 
You know, if you got a $50 

1046
01:03:33,040 --> 01:03:35,360
million painting, sure, you can 
do that. 

1047
01:03:35,360 --> 01:03:38,080
So you've got a $10 million 
super rare watch. 

1048
01:03:38,280 --> 01:03:41,560
You sure banks will kind of go 
to the the effort of actually 

1049
01:03:41,560 --> 01:03:44,440
giving you a loan, but there's a
huge amount of value in the, you

1050
01:03:44,440 --> 01:03:49,160
know, 20 to $100,000 range that 
just basically sit there at the 

1051
01:03:49,160 --> 01:03:52,600
moment. 
So the the benefit of actually 

1052
01:03:52,600 --> 01:03:56,040
bringing these things on chain 
purely as a way to to 

1053
01:03:56,040 --> 01:03:59,400
collateralize it really becomes 
quite interesting. 

1054
01:04:01,130 --> 01:04:04,730
I think broadly, you know 
alongside the tokenized 

1055
01:04:04,730 --> 01:04:09,490
collectibles there it's probably
4 main categories of of real 

1056
01:04:09,490 --> 01:04:12,170
world assets, one of which has 
mentioned is the tokenized 

1057
01:04:12,170 --> 01:04:15,090
collectibles. 
You probably will start to have 

1058
01:04:15,090 --> 01:04:21,290
tokenized equity and token 
positions essentially, so from 

1059
01:04:21,290 --> 01:04:24,370
classic crypto investments. 
So that that I think that will 

1060
01:04:24,370 --> 01:04:27,370
start to look quite interesting.
A lot of other tokenized 

1061
01:04:27,370 --> 01:04:32,240
financial assets, so bonds and 
stocks items like that. 

1062
01:04:33,120 --> 01:04:36,040
And then you'll lastly also have
tokenized real estate and real 

1063
01:04:36,040 --> 01:04:38,760
assets. 
But of course the regulatory 

1064
01:04:38,760 --> 01:04:43,080
friction that comes with all of 
those items is much more 

1065
01:04:43,080 --> 01:04:48,000
significant than tokenizing a 
comic or a trading card or a 

1066
01:04:48,000 --> 01:04:51,680
watch as an example. 
So I think those, but with that 

1067
01:04:51,680 --> 01:04:55,640
being said, once we do get that 
regulatory unlock, you'd start 

1068
01:04:55,640 --> 01:05:00,380
to then get like a very material
addressable market of real world

1069
01:05:00,380 --> 01:05:04,220
assets on chain and accordingly 
then a material credit market 

1070
01:05:04,220 --> 01:05:06,900
that sits alongside it. 
Cool. 

1071
01:05:06,940 --> 01:05:09,660
Well, thanks so much guys, both 
for coming on. 

1072
01:05:09,660 --> 01:05:14,020
I think this is really great 
overview of like NFC finance and

1073
01:05:14,020 --> 01:05:17,260
lending and you know I think it 
makes a lot of sense, right, 

1074
01:05:17,260 --> 01:05:21,500
just the enormous thing that's 
ahead of us. 

1075
01:05:21,500 --> 01:05:24,020
I'm excited to see how that's 
going to develop and how these 

1076
01:05:24,020 --> 01:05:26,860
markets are going to evolve. 
And so, thanks so much for 

1077
01:05:26,900 --> 01:05:28,280
joining us. 
Yeah, Yeah. 

1078
01:05:28,280 --> 01:05:30,560
We're excited. 
We're in, you know, we're in it 

1079
01:05:30,560 --> 01:05:33,400
for the long run. 
They could be say sometimes is 

1080
01:05:33,400 --> 01:05:35,680
where there's value, there's 
finance, right. 

1081
01:05:35,680 --> 01:05:39,520
So you know as the the value of 
things represented by Nft's 

1082
01:05:39,520 --> 01:05:43,360
increases the the size of the 
the financial ecosystem around 

1083
01:05:43,360 --> 01:05:45,840
they will just grow in 
accordance. 

1084
01:05:48,160 --> 01:05:49,840
Thank you for joining us on this
week's episode. 

1085
01:05:50,240 --> 01:05:51,840
We release new episodes every 
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1086
01:05:52,550 --> 01:05:55,230
You can find and subscribe to 
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1087
01:05:55,270 --> 01:05:58,270
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1088
01:05:58,710 --> 01:06:01,390
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1089
01:06:01,390 --> 01:06:04,470
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1090
01:06:04,470 --> 01:06:07,630
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1091
01:06:07,630 --> 01:06:09,870
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1092
01:06:09,870 --> 01:06:12,350
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1093
01:06:12,350 --> 01:06:15,430
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1094
01:06:15,790 --> 01:06:18,150
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1095
01:06:18,150 --> 01:06:20,310
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1096
01:06:20,350 --> 01:06:22,430
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1097
01:06:22,550 --> 01:06:25,230
Happy to read them. 
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1098
01:06:25,230 --> 01:06:26,350
forward to being back next week.
