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and inside analysis dot Comside Analysis dot com. And now here's your host,
Eric Kavanaugh. All Right, ladies and gentlemen, time once again for the
only coast to coast radio show that's all about the information economy. It's time
for Inside Analysis. Your truly Eric Kavanaugh is here with several wonderful guests.
Folks, We're going to talk about a really interesting topic. It's been around
for a long time. The subject's been around for years, for decades,
quite frankly, but it's really finally starting to crystallize. And what that thing
is we're going to talk about is called web three point zero. So you've
heard of this three point zero two point h. Of course it's a reference
to software and software releases. But what is web three point Oh, we're
gonna be talking to Stefan Durban from Protocol Labs and also Peter Maddox from Seagate
and another guest later on in the show, and we want to talk about
what this thing is and really why it matters to you. So I've been
in this industry for a long long time now, and I've seen trends come
and go, and like I say, we've heard this turn web three point
zero. For many years now, most of the conversations have been around semantics,
and so people talk about the so called semantic web, and that is
part of the conversation. But really distributed is the key. And if you
think about we just talked about this yesterday at the show, if you think
about the whole architecture of the Internet from the get go of our pannet,
the whole idea was to create a communications network that would survive any no being
killed. Right, That was the whole idea. Is to have some communication
network in place that would be durable enough to survive through some sort of travesty.
Right, Well that was the beginning. That's a long time ago now.
And if you look at the web, well it's I mean it's distributed
in that you have lots of different websites you can go to, but every
website in a sense is a sort of single point of failure that there is
some redundancy involved, like cloudflare, for example, there are different things that
people do to enable true redundancy and true resiliency. But nonetheless these are static
IP addresses typically that you go to to get a website. Well, a
distributed web is a much different thing, and we're going to hear from Stefan
here in a second about the storage side of that equation. And also our
friend from Seagate is on the call here we'll talk about that as well.
But if you think about a truly distributed web, now you don't have a
single point of failure. Now you do have this truly federated environment. And
we're not talking just storage, so the first step of this process of storage,
but we're also going to talk about impute. We're also going to talk
about the full staff for delivering apps or d apps as some people call these
things distributed apps. You know, blockchain is out there, so people understand
a bit more about what blockchain is. Of course, there are many different
blockchains, is not just the one that underpins bitcoin. It will also talk
about file coin and what file coin is and why it matters. So with
that brief intro, they're bringing Stefan from Protocol Labs tell us about about the
genesis of this and what Protocol Labs is doing to enable web three point out.
Yeah, thank you, Eric. So my name is Stefan, head
of network Growth here at Protocol Labs. Our goal is to grow the network
and if you look at the filecoin network, it's really a perfect implement that
a perfect demonstration of how to drive utility that is, you know, enabled
by blockchain technology. Is Eric, you were mentioning today HDP is the preferred
protocol of choice on how to address and find information on the web. We've
sort of like replace that with a cryptographic hash. So instead of addressing data
by an IP address, we are actually using a cryptographic hash that is so
secure that you can be guaranteed that that cryptographic hash is the only hash that
represents that particular data set that you're looking for. And so the second part
we've changed is that the way you actually get to that content is no longer.
You don't no longer need to know exactly where the data is stored.
You actually connecting to this federated storage stack, which is a decentralized network,
where that hash will eventually pull back the data source or the actual data copy
that you're looking for, and so you can pull that data back from anywhere
anywhere in the world. So you go to one of the gateways and that
will give you back the location of where your data is actually stored. So
that just a lot of in a lot of ways how we interact today.
It makes things a lot more stateless, meaning you can actually build through decentralized
apps that are running across the globe, across multiple you know, systems that
are owned by different entities, and you're not really locked into a single let's
say public cloud vendor anymore that dictates you know which APIs and which locations that
you can host your data sets or your application. No, right now,
you actually have a lot more choice because you'll have choice of thousands or eventually
millions of systems out there that will give you the opportunity to store your data
set with them. And so you know, it opens up a bunch of
new opportunities. And thanks to the underlying blockchain technology, what is so really
what's so really powerful is that you essentially move from a world where you're trusting
these central large entities um to hold your assets to trusting the code itself.
And so what we're saying is code is law. Why because the code is,
so the code is so secure and that that essentially anyone can do peer
to peer transactions with anyone else in the network and be guaranteed that that transaction
will be done safely and secure. And you know, so there's and there's
a lot of other characteristics that we specifically enabled that we have enabled in the
Falcon stack that go one step further, so not just um having the ability
to transact, but also having the security that the data that you're storing is
is really um in the the integrity of that data is really kept. And
so there's a couple of things we can talk about, but you know,
and its premise, right Web three I sort of like this new era,
this new wave, this new technology stack that will that is enabling us to
be able to do these peer to peer transactions and eventually, you know,
creates a ton more innovation than what you're seeing today in a traditional web to
Yeah, this is very interesting stuff. And if you would quickly explain file
coin when you talk about the file coin stack, what goes into that And
obviously file coin is this storage network basically, but explain what you mean when
you say the file coin stack. Yeah, so fal Coin is the largest
decentralized storage stack today or network. It's really a network of systems. Today
we have more than four thousand systems globally deployed across forty four different countries that
are running an open source version of Falkhorin and Falcon comes in. We have
four implementations again again for redundancy. So what it allows these storage providers,
as we call them right to do is they will they are contributing to the
network and by pledging capacity, so storage capacity and falkowing tokens, and that
generates this. You know, right now we have close to fifteen petabytes,
sorry, fifteen exabytes. Let me just fifteen exabytes of actual capacity on the
network that is fully owned, run and run by the ecosystem rights soper Collapse
has doesn't run any of these. So basically they're all startups running the network
because they're strong believers and in changing how we store data today and then eventually
also how we compute data today. So when we're talking about the Falcon stack,
it starts with the actual storage layer, but today we also allow for
smart contracts to be run on our act and then in the near future we
will also have the ability to compute data, which is basically the end goal.
It's not just about storing all our precious assets in a more efficient and
federated architecture, but also the ability to compute and monetize those assets and not
just monetize it from the network. Shouldn't be monetizing, and it's actually the
users that own the data that should be in charge or should have the control
to monetize their own data sets. So really this is also part of us
building a world where users have more control over their digital assets and how they
actually monetize it. Down there, Well, this is very interesting. So
you know, I've been a big fan of the open source community for twenty
odd years now and it's spent a lot of time researching and trying to understand
the business models, the technologies where things are going. And of course it's
always somewhat lucks, but this is very it's a very compelling storyline. And
I remember probably five years ago at a conference. I know it's a lot
of the open source people were really focused on censorship and preventing censorship, and
it kind of gets to this whole control point side of the equation where someone
can just shut you down if they don't like your content, whether it's an
authority or it could be just someone in the company, could be someone in
one of these cloud providers that says, now, we don't like you guys.
We've actually seen that in the last couple of years. And that's one
really interesting storyline around this approach, right, because there is no one person
who could come in and say no, I don't like what you're doing and
shut you down. Right, Yeah, And that's a very good point.
Look at what's happening on the Twitter for example, right, it's a perfect
example of it. Right. It's actually gonna result into more similar platforms that
are more customized through the audience and so here and a decentralized network. You
have that flexibility, you have that option because there's no single entity, like
you said, that controls what what data is stored where it's actually up to
the users and to the storage providers to offer those kind of services and to
get into an agreement on what data to store and what data not to store
and where to store it. So there's that's why this is an open marketplace
and that's exactly what we want to build. We want to build the options
for not just the customers to choose where the data is stored, but also
for the storage providers to choose what type of services that they would like to
offer, because there's different slas that will you know, will be required.
Some customers will want to retrieve the data very fast, and so for that
we have see the end type of solutions that are being built on top of
foul Point. Others will just want to have a very cheap and deep,
large repository that is, you know, meant for storing archives for you know,
a hundred years. So UM and these come with different configurations. These
come with different architectures, right, and so that's why we're working very closely
with you know, the Sea Gates of the world and AMD to like optimize
the architectures for these different tiers, so to speak. And so we've built
you know, also an alliance recently, which we call the Decentralized Storage Alliance
for that reason, so that we could bring the web to UM companies like
you know that are currently selling not just storage but also services to the existing
enterprise market, bring them together and really collaborate on you know, defining those
new architectures and workflows and how enterprises could leverage right, these these new decentralized
storage stacks, which is still very nis in to the enterprise market. Yeah
it is. And next step in our next segment, we're gonna be talking
to Peter Matos from sea Gate and I found out in the preest show that
Segate is now moving this project to their go to market strategy, which is
a huge deal. So it's been an R and D for a period of
time, which also is a great sign. I mean, companies like Cgate
don't don't spend their R and D money willy nilly. I mean, they
are focused on understanding what's happening in the market, what's happening in the technology
space, what do users want, what do partners want, etc. A
lot goes into those decisions, and the fact that it's now coming out and
as part of a go to market strategy is a huge sign. I mean,
that's basically the inflection point that pushes it into the mainstream and it's very
very interesting to me. So just to explain our audience here, the idea
is instead of going to Amazon or Google or Microsoft or rack space or any
of these providers to store your data, instead of just buying servers yourself,
which is the old fashioned way of storing data. Instead of doing that,
you will rely on this decentralized storage network to host your data. And to
Fond's point, the next step in this process for them, for their own
advancement is the compute side of the equation. So now you're talking about actually
being able to store data to build distributed apps, and then to point those
apps at the storage network, just like you would point your containers at persistent
storage in traditional enterprise computing environments, right to the font. Yeah, indeed,
so perfect example our NFTs. So one of the benefits, one of
the major benefits of storing data in a decentralized network where there's no central or
no single entity that fully controls the network, is that all data that is
stored is immutable and it's verifiable, meaning there's no way that you can change
it. And so today we store more than one hundred million NFTs for on
filecoin for some of the major NFT marketplaces like opense and rearable others. But
the real benefit here is that you know it's it's stored natively in an immutable
way, and the second you can verify the status of the data. So
on a daily basis, the code will actually verify with the service providers and
storage providers if the hash right is still consistent, and that if the hash
would be inconsistent, you would know that that data is no longer consistent.
Then it's no longer the same data that you stored. So there's built in
checks, there's built in sticks as well. You know, if the service
provider loses data, he gets penalized by losing Faulhorn, So there's a whole
ecosystem. Yeah, the algorithm is so designed that it's sort of it's very
strict, and it guarantees uptime, and it guarantees a certain and integrity,
right, data integrity, which is so crucial when you're storing data, and
so you can build these depths on that. Like I was mentioning the NFTs
right as a perfect example. You know today we store hundred hundreds of millions
of NFTs on foul coin. But now with the introduction of the virtual machine,
which is the ability to compute state of data basically, so you can
build intelligence and stored at on the stack, so you can then eventually mint
your NFTs as well on foul cline. And then the second step beyond that
is now that you have stored your data on foulcin, you can run analytics
in a distributed way as well. So there's multiple startups and we are cells
are building capabilities as well to enable compute on top of data that's stored on
foul coin. Yeah, so here, yeah, just real quick one minute
before the break. Is there a standard or default number of copies like with
head dupe it was three out of the box. Is there a standard number
of copies that choose store or can you choose that? You can choose that.
But by the faults right now we're seeing five to six copies by the
rhymes that are during dan I see, okay, good, this is this
is really fascinating stuff, folks, I have to tell you. So we're
talking today with Stefan Vervat from Protocol Labs all about this new decentralized Web three
point L. I'd mentioned that semantics is what we used to always call Web
three point L and semantics is part of the equation, but really it's all
around distribution. No single point of failure. This is something that you hear
a lot in the enterprise software world. Single point of failure means, you
know, if I pull the plug on this one box, it's over.
The whole system comes crashing down. You don't want that. Nobody wants that.
You don't want that in the enterprise, you don't want that in small
business. You don't want that. For your NFTs or for whatever. You
want to have durability, resilience. You want to know that's there. You
want to know that it's secure. And what's interesting is these folks have really
thought through that entire process from start to finish. So that's why it is
so robust that folks don't touch on dollity. Right back your listening to in
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seven eighty three. Welcome back to Inside Analysis. Here's your host, Eric
Tavanaugh. All right, folks, back here on Inside Analysis talking all about
web three point oh, the distributed web, a semantic web. What does
it all mean? Well, next up, we'd have a hardware guy.
I'm a hardware game gonna lie I get into this stuff. I just think
it's fascinating how much advance is how much advance we've made in terms of designing
hardware, managing hardware, understanding hardware. You the observability on you know,
on how it works, how it doesn't work. It's just tremendous these days.
And now we've got Peter Maddox on the line from Seagates. So Peter,
welcome to the show, Welcome to Inside Analysis. I know you're kind
of new to this distributed stuff, but you're an old hat at storage.
UM tell us a bit about what's going on. You told me before the
show that this wasn't R and D now it's being moved into go to Marcus
Strategy. I mean, as an industry guy, you know that's a big
deal. Right. Absolutely, Thanks Eric, Nice, nice to be on
your panel, and uh yeah, excited to talk about what Gates doing in
this space. UM. You know, we we've been around in storage for
for over forty years now, and UM that you can see the evolution of
storage architectures as we go, you know, from from UM mainframe client clients
or a Web two and now Web three and UM it is absolutely the case
where Seagate has recognized the importance of the decentralized architecture with Web three to the
point where we are organizing around that from a go to market perspective, and
and you know, working closely with UM with the DSA and UH teams like
Stefons to to bring solutions to market UH in this space. And it's it's
very complementary to UM our next generation of sea gates storage devices as well as
our systems. I'd say kind of the overarching theme is to try to bring
them the benefits of the hyper scale cost per terabyte type of metrics into this
decentralized architecture so that smaller industry players can benefit from those same kind of of
cost improvements architecturally that we've traditionally placed in them, you know, in the
hyperscale cloud providers, and looking to provide that to the decentralized market as well.
Yeah, and of course a lot has changed, right, I mean
we traditional data centers. I personally believe that the rumors of traditional data centers
have been exaggerated. I think that a lot of them are going to stick
around for a good long while now, in part just for accounting purposes,
amortization things of this nature. I mean you're not just going to lop it
off and move on. But I also wonder if we're going to see a
renaissance in how data centers are used and if this could play a role in
that. So if you think about companies moving to the cloud, you know,
certain aspects of corporate operations that I've already moved to the cloud. You
look at all the softwares of service stuff. I mean Salesforce of course as
the poster child in that game, and they're over twenty years old and that's
for a long freaking time now. UM, But I kind of see this
as a really interesting enabling technology and approach for extending the life of traditional data
centers. What do you think about that? Yeah? Absolutely, we look
at this inside of Seagate is um you know, something we call the rise
of the edge and with them, you know, explosion of IoT and peer
to peer communication. You know, we see this as a very complementary theme
to the traditional enterprise and UM, I think to your point, both are
going to exist for for a long time. And what we see that's exciting
is the ability to take some of the technologies we've been betted in in that
traditional web FO dot O space and start applying them uh in different ways over
in the decentralized market UM. And so I think that's that's where we start
to get adjacencies that that are really exciting to to build these you know,
new opportunities for customers um that didn't exist before. If you're you know,
if you're looking for for storage options outside of the traditional cloud you know capabilities,
so UM, one of the real exciting things that the t gate is
the advent of of thirty terabyte plus hard drives and and once you get to
capacities like that, you know, the the the um economics of being able
to store that that dense of uh storage device inside a system that's part of
a decentralized network, UM, you know, really presents some exciting opportunities for
the growth of of this this space. Yeah, it's really it's really fascinating.
And you know, of course, one of the keys when you start
talking about storage, especially for the enterprise but also for small midsized businesses,
is always going to be performance. Right, how quickly can I get my
data? For what use case will I use this particular storage engine? For
example? And obviously archiving is a big one, right if you have cold
data. You just have to store it for some reason. Then this is
going to be time for the charts. I'm curious to know. On the
SLA side, it's going to be very interesting. I mean, we heard
Steffon mentioned SLA service level agreements. Basically, I bet some of this stuff
can be pretty fast though. I mean, you guys seek and have a
whole range of products, right that can swear of any of those use cases.
Yeah. Absolutely So. One of the ecosystem solutions that we're building right
now for the decentralized market is using a product we call core Vault as one
of the foundational think of it as a unit of storage that would be scaled
out across you know, as many nodes as the user would like UH to
scale, but that individual component is capable of UM you know, twelve gigabytes
per second of brights and fourteen gigabytes per second of reads UM out of one
hundred and six drives in a single enclosure. All of that protected at today,
protected at five nines of availability. That means, you know, only
five minutes of downtime per year UM. Next next generation will be six nines
later this year. So really excited about you know, that is just a
if you think of that as a single you know, a single point of
failure, single component of that scale at architecture, and then you know how
resilient that looks when you when you go to end nodes UM. It's very
exciting. And yeah, one of our key investments there has been in a
um an a stick combined with our data path firmware, which is designed um
to really get the maximum throughput and availability at a very low cost, so
compared to other architectures. You know, it's a it's a very cost effective
approach to the space. See that, that's where the geek in me comes
out as you start talking about A six and the data path firmware. So
in as the first time I learned about A six was with bitcoin, and
there are Chinese companies building these machines that were purpose designed to mine for bitcoin,
right, which is a very it's a fascinating concept that I think a
lot of people really don't understand, including myself. But you know, being
unwinding the cryptography to get to the coin requires a tremendous amount of computational power,
and so what they've done is they purpose built these to do just that
and only that, and it sounds like you guys have some other things going
on with this ASI combined with a data prime firmware. That's great again for
particular use cases when you want to move vast amounts of day from one place
to another, right exactly, exactly. Yeah, and this this particular design
is all around UM, you know, keeping our active active architecture with with
dual controllers in a single node, UM shared cash where really maximizing that availability
and uh, it's it's you know, how we are able to achieve that
five nine and now now moving to six nine with our next level of devices.
So UM and to your point earlier, I think we were talking about
how long these investments take. UM. You know, that product set is
something that's matured over many years and uh, you know in the in the
traditional enterprise space and now you know, being able to apply UM this as
a part of an ecosystem and architecture in the decentralized storage is really exciting.
Yeah. And you mentioned EDGE and let's just explain to the audience what it
may EDGE means a lot of people now know. But of course you have
these data centers, you have cloud providers like Amazon and all these other guys.
But then the edge refers to really anything that's out there that has some
connectivity. It could be your phone, for example, is on the edge.
It could be some technology on an oil rig for example, is out
of the edge. It's anywhere out where something is happening. And you look
at like Amazon, they have these big availability zones, but they're pretty big,
and so the speed of light actually comes into play in terms of sending
messages all the way across and getting messages all the way back. And what
I think is very interesting is going to play right into your hands in this
particular endeavor, is that the the edge is everywhere. The edge is all
over the place. It's all over the place. And the more that we
can cater to those needs, those business needs, the more that space is
going to grow. And I think you guys are like right in the center
of that conversation, right, Yeah, absolutely, It's it's been really interesting
to see. You know, Cegate as a device's company is obviously in the
cloud, but but we're also you know, at the edge and um you
know, being able to take advantage of of being um you know, throughout
that ecosystem, particularly for our systems business has been a really good place to
be and where we're seeing an awful lot of growth, you know, coming
into this this next year, UM is out of exactly those those kinds of
deployments. And you know, as as users want to approach security in different
ways. I think we talked earlier about UM, you know, wanting to
control where their data is and UM. You know, UM you see different
different security UM protocols out there and and the need for businesses to be able
to control where from a geographic perspective, you know, where their data lives.
UM. So we see this decentralized approach as a good alternative to UM
kind of the traditional hyperscale ways of controlling where your data resides and UM you
know, I think I think the approach we've got with systems being part of
that architecture UM is a is a good part of the solution. Yeah,
that's very interesting. And you know, I've heard some funny stories. I
won't mention the cloud vendor's name, but a very very big cloud vendor.
I've heard stories about them not knowing where stuff is and like really important stuff
and because it's just complicated, I mean, they've just built out racks and
racks and racks and racks of servers, and you know there's documentation for all
that stuff, but you know, kind of knowing where things go is a
challenge. And you guys have an interesting, I think advantage here in being
able to architect this next generation solution. Could you talk quickly about like what
kind of things can you do from a hardware design perspective. You mentioned this
firmware concept, but from a hardware design perspective, what kind of things can
you do to facilitate how you interact with this distributed soft Storage alliance? Sure,
so we build reference architectures working with the DSA, the the Decentralized Storage
Alliance UM to optimize UM. You know, the performance characteristics specifically for file
coin UM, and you know, building out UM a solution with our right
now, the work that's going on is is with our core vault architecture UM
and and there you know, you want to optimize the specific workload for file
coin to make sure that you're going to get response times that are UM reliable.
And you know it's it's right now. It's all about being able to
write down that recipe in such a way that it's it's easy to reproduce in
the field and UH combine you know, our back end storage with the right
compute uh to be able to put that overall solution together. UM. You
know, we're looking at UM trying to make sure that the UM particular workload
is is optimized in that scenario. UM. So yeah, I think that's
that's where the focus is today in our solutions labs. Yeah. Right,
and you talk about with the coreball, you talk about self healing high density
data storage. Self healing is one of these things we've of course the Oracle
talks about with their database, and there are things that you can do where
you do these scans. I mean Stefan even kind of mentioned that the system
is the code of designed to do a scan. Is everything okay? Is
everything okay? Okay, Everything's fine? That kind of thing, And that's
kind of what you're doing in this case too. Right, I'm guessing there's
some sort of scan that goes is everything the way it was? And if
it wasn't you go through a sort of step process dynamically to solve things.
Right. Yeah, we have a feature called ADR autonomous drive regeneration, and
essentially what we do is is if a single device has any kind of head
or surface failure that we detect on that device. The storage controller inside the
core ball is actually created a pool of discs. They're part of a UM
all a backup r Yeah exactly. UM, a pool of disc where we
can keep a spirit capacity capability where we can autonomously regenerate the space on that
drive by taking a single head out of service, UM, move that capacity
over to the rest of the pool, then bring the rest of those services
surfaces back online. UM. So you might see the original device come back
at maybe ninety five of its original capacity, and then your your pool of
storage is automatically rebalanced over that device. All of this is transparent to the
the end application. So UM, you don't see any interruption in service or
change in performance while that's happening. UM. And so at the at the
end of the day, you see, UM, you know, a small
percentage of capacity and your original pool is gone, but you're you know completely
self feeling no need to pull that I've out of the system and you know
replace it. Um. It continues as part of the rest of the pool.
So yeah, it's really an exciting capability for us. UH. And
as you think think about a single device with thirty terabytes on it or more.
Um you really need to have those kinds of algorithms in place so that
you're not dealing with expensive rebuilds across you know, your entire infrastructure when when
a device is replaced, so it's becoming a really important part of the architecture.
That is very very cool stuff. It just goes to show you how
you can build upon the successes of the past and kind of learn from mistakes
and learn how you can leverage these technologies. But that kind of self healing
capacity is huge because man, when stuff goes down, when you lose data,
I mean, the business pain of that is just miserable. The books
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eight hundred two nine eight fifty seven eighty three. Welcome back to Inside Analysis.
Here's your host, Eric Kavanaugh. All Right, ladies and gentlemen,
back here on Inside Analysis talking Web three point zero. We've talked to Stefan
Vervatz of Protocol Labs and Peter Maddox from Seagate and it's the final I'll throw
it back over to you. Let's talk about who's using this stuff right now.
You said you've got four thousand instances across forty four countries and you do
have some success I think you told me the other day in the research space
for university. So who's using this technology now and what's the plan going forward?
Yeah, that's good question. So, umlast the last eight months,
we've seen a tremendous uptick and just in general customers storing data onto our network,
and we've seen research institutes being very um engaged there for a couple of
reasons. One, typically in research environments, you have a ton of data
that you're trying to capture because you're doing research, you're doing analytics, you're
doing and so every bit that you capture is important, and so you want
to be able to preserve that over time so that as your you know,
your compute becomes more efficient and your algorithms become better, you can actually run
those algorithms again over even old data sets and train as algorithms to maybe even
a better outcome. So in research, we've seen customers like you see Berkeley
during data that is related to dark matter. So research researchers that are you
know, actually researching dark matter, and their feedback has been like, look,
for us, what's important is that every single bit we capture is crucial
and important, so we want to be we want to be sure that the
data is still you know, the integrative data is still preserved, and so
that's exactly what our solution does. Plus, their budgets are also slashed in
a lot of cases, or you know, they would like to spend as
much of their budget towards the compute side so they can spend more time on
finding insights or finding discoveries. And so the storage aspect sometimes you know,
it's sort of left behind, and that's where we come in. And so
we're seeing University of Utah, UC Berkeley, we have some we have at
last dotcern, which is the large um cern M. Yeah, they're they're
storing archives on UM on fal point as well, and so you know,
these are just on the web two side. We have also public data sets
like NYC this New York City storing from their public data sets on the falcoin
and others. And then we have on the web three side, we have
a ton of UM startups that are being built right now. We have more
than five hundred startups being built on title fal point that are in some level
of investment or funding stage UM. And so we article apps, we end
foul Con Foundation, we invest a ton of resources in helping entrepreneurs build new
billion dollar businesses, as we say here at bl right on top of falc
poin and we have anything that you can imagine of, like you know,
we have an alternative for Spotify, for YouTube, for um, you know,
pretty much any app that you know of today. I mean there's even
apps that are replacing Uber. So it is being built right now. And
so we are investing heavily in enabling that pipeline of startups right that are built
that are built on top of foul coin. And at the same time we're
also reaching out to the web to community to like you know, bridge and
sort of like help them bring those large archives, those large data sets onto
the Falcoin network. And then you know, we have NFT marketplaces and that
are very specific, you know, around a n FT eco system. But
u yeah, a ton of use cases are coming up, and then what
where do we go next? Right, that's a good question. So a
lot of our road up, as we discussed in the previous section, is
focused on enabling users to actually compute the data. And the second part is
also enabling what we would call like you know, the smart contract capability,
which allows for data dows, which are these autonomous organizations that organize and operating
govern a set of data assets. Right, so now you can sort of
like pull your funds together as a community. So basically, let's say you
want to rally the community around a certain data sets that you want to be
that you want to preserve. Then you know, the community could rally around
that, they could fund that, and that could become its own data dow.
And so there's a lot more newer structures that can be built on a
decentralized net that you cannot built on Lepto. So very excited about that because
that's opening up a ton more opportunity where the community can actually fund, you
know, an initiative that they're they're behind. Yeah, that's interesting. And
you said you provide grants to like five k up two hundred thousand dollars grants
for people to get I'm presuming here to build d apps on top of file
ConA zum Right, Yeah, that's right. Yeah, So go to the
filecon website look for grants and you'll actually see that we had that five thousand
dollar grants up to one hundred thousands, kind of depends on what stage.
We run up to thirty hecatons a quarter. So if you want to participate
and build, please join us at any of the conferences. Typically we'll follow
the Theorem conferences because we work very closely with that ecosystem and the type of
developers. I mean, there's only a certain amount of pool of developers out
there, and so we travel at this to the same conferences, and so
you know, even if you come to one of our conferences, you're probably
going to meet the whole ecosystem anyway. So you know, we provide accel,
we provide hecatons where we provide prizes but also we follow up with grants
for those that we feel like have a lot of potential, and then we
have accelerated programs where you can actually file for specific a salary program. For
example, we have one with tech Stars, we have run with Outline of
Ventures, and there we also fund We help these startups by raising funds,
you know, so we really we really help these entrepreneurs to build their business
on top of our stack. Yeah, that's very cool and real quick the
blockchain do you sit on top of ethereum or does it matter which blockchain?
No, it's cool is that today so Falcone is a layer zero and now
also a layer one. What I mean by that is that Falcone actually now
has a virtual machine that is equivalent to the Etherorem virtual machine, so we
call it the Falcone Virtual Machine is called FEM. But our first implementation is
an Etherorem implementation, which means that you can for your theorem apps onto falcin
uh and it's it's transparent so that um you can out you know, stort
your story, your data and you can also run your apps on top of
um our falcoin EVMIG. So yeah, yeah, that's very cool. And
we only have a couple of minutes. Slap to y'all, bring Peter back
into the conversation. UM, this is very exciting stuff. I mean,
we're talking about a whole new way of doing things where you don't have the
single point of failure, and I think the cost is going to be less
than what you would pay going to you know, Google or Amazon or some
of these other guys. What advice do you have, Peter for companies looking
to innovate who are trying to learn more about this. What are your thoughts
on the trajectory of this whole concept. Yeah, I think you know,
steponse point about the community is right on. I think there's there's so many
UH conferences to engage and UM. You know, I've um as Cgate has
been part of this DSA, we see more and more enterprises, UM,
you know coming and be being part of the partnership. And you know,
I think, UM to keep looking UM through through the ecosystem UM of partners
You're going to see solutions starting to be published, UM, you know,
I know and seagate. You know, you'll see several white papers and reference
architectures coming out this year that are specifically in this this space. UM.
And you know, I'm here right now at that the SPA conference WEB three
conference here in Vegas this week, and so there's there's definitely an active community
of enterprises that are UM you know, collaborating to build these solutions together.
So you know, I would say just just stay tuned to that community for
UM you know, new solutions being published. But I think that the goal,
I think overall is to make this very turnkey and easy to deploy UM
with without having to go do your own research and figure out how to you
know, tune and optimize the solution. We're really looking to be able to
make it easy to uh to build this UM you know, scale out arch
sexture. Yeah, that's very very cool. It's got about a minute and
twenty seconds left. The final throwback ever, to you cost any any metrics
you can throw out there about what it costs to store versus what it costs
a traditional storage raised and so forth, anything you could share UM. Yeah,
I think right right now the storing data and fulcorn is pretty much free
UM and it's because it's been subsidized by the token UM. And so what
you'll see is that multiple storage providers will provide a data to be stored for
free for the next year and a half or sometimes longer, and then they'll
start charging to store that data. But it's it's you know, still yeah,
so much less expensive just because it's been subsidized with the token. And
then second, also our storage providers are looking for new customers and we're taking
sort of a similar approach where the cloud providers, you know, initially have
handed up credits, right, sort of like take the same idea here basically,
right, but it's the credits are actually used to fund the hardware architectures
to run and operate a fialkcoining system. So yeah, lots of opportunity.
If you're trying to reduce your cost, please go to Falcono dio. And
also if you want to become a participant in this ecosystem, as what Peter
was saying, we actually are running accelerated programs on how to become a storage
provider as well. So if you're the ideal company would be someone who has
customers, who's currently a service provider, wants to get into a three because
don't know how to, we have a dedicated seven month program all the support
you need from existing storage provider trod All right, folks, look a filecoin
dot COO and Holt to call that and of course seek You've been listening to
Inside and ol Southern California's MindSpring, the Legend you Love and the best talka
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