all right everybody we are gonna get started here in just a second it's
giving me a little bit of an error with the AIT account as I'm trying to get it
up here and I see you also Tony if you want to go ahead and hit the request
button all right Brian hope your morning's going well yeah going well
going well can't complain with the way the crypto markets are at the moment
yeah yeah I'll say what's um where do you lean kind of in this crypto spectrum
do you think that this is kind of a brief rise following you know maybe the
ETF approval and stuff or do you think this is start of the next bull run no
definitely into the bull run I think we're in kind of the super cycle phase
because of the having coming up so I think we're still yeah of course we're
gonna get pullbacks but I think with the proximity of the having you know and
sort of mainstream catching their eye again I think we're still early in this
in this sort of extended cycle got it got it all right Tony I shot you an
invite AIT protocol working to get you up here make sure that you are on a
mobile device if you are gonna be a speaker for today I think desktop still
has plenty of glitches so it runs into issues today we'll be chatting with AIT
protocol if you're in the audience we're going to appear just a second pretty
popular accounts obviously working on the data infrastructure side of things
really with decentralized AI so have it a little bit of AI talk here having a
little bit of web 3 talk I would say these are some of the top topics at the
moment if you're kind of looking around the ecosystem for you know what are
people talking about what's popular but that hasn't stopped them from
continuing to run and so you know I'm keeping my eyes on them throughout this
ecosystem and I see them requesting again all right I think now we're gonna
be able to get them up here and then Tony if you want to go ahead and join up
as well that would be perfect then we can go ahead and get rolling but right
now I do believe I was able to get AIT up on stage so as soon as we're able to
give me AIT there we go we got you yeah thank you I forgot about you know the
Twitter base is only accessible on the mobile yeah like and I think Tony is
trying as well he's been using this course mainly you know and so this is
his first time doing Twitter space just gives him some time oh I think he can
smell cool yeah looks like we got Tony up here you guys good to go yeah yeah
okay cool so I'm gonna roll us into this we're gonna be chatting here for about an
hour with AIT protocol for those that are unfamiliar you can click right into
the account I also pinned a little bit of information at the top of the space
around some of the things that they are working on whether it's the LLM
supercharger for BitTensor or perhaps you want to look at their NFT revenue
share there's a couple of items that could speak to you if you are someone
that is in the whip through space and if you're someone coming from the
so with that being said let's go ahead and get into it I'm not sure if AIT or
Tony which one of you wants to answer first but I think at the start it'll be
good to get some introductions here just kind of high-level you know what is AIT
for the audience as well as a little bit of background on each of yourselves and
then we'll take it from there okay cool I can go first so my name is Shin you
know I'm a CEO of AIT ProCo I started you know my crypto journey back in 2017
as an you know ICO investor everyone stars as ICO investor I have been
surviving you know through two cycles and you know founded my own ventures
it's called Mega Lab Ventures you know where we focusing on investment in the
web 3 space back in late 2020 you know we focused more on DeFi and GameFi
startups and you know after a couple successful investment I started you know
stepping into the project section you know where we I helped co-founded a
game five projects you know in incubation support by downmaker after
following a remarkable achievement I you know make a decision to kind of like
step away a little bit for the company and concentrate more on the investment
side but in 2022 when you know the chat GPT emerged all the you know every
everyone was talking about AI and how you know I can help with the daily
activities and I started to realize that you know AI actually can be
integrated into blockchain maybe not feasible right now but you know we on
the right correct way you know with the tensor and I'll explain later on so I
founded IIT Proko to explore the AI sector trying to bring AI innovation to
benefit the web 3 community. IIT Proko you know is the first web 3 data platform
space like in data annotations and AI model training where I can give more
definition and more introductions so I'll let Tony introduce himself first and
then you know we can talk more about IIT. Hello hello I hope everyone can hear me
so I'm Tony I'm the CPO at IIT Proko. I am actually an MIT alumnae Google cloud
professional machine learning engineer data engineer dbt expert so I am your
go-to guy for all kind of data and AI stuff. Perfect thank you for the
introductions from both of you there now I know you've covered a little bit of
this around you know what is IIT. I'd love to go into kind of what inspired
really the creation of IIT protocol and then a little bit of the vision for the
future for web 3 and AI integration because those are some of the hottest
topics people discuss nowadays. So yes as I just mentioned earlier IIT Proko is
the first web 3 data platform specializing in data annotations and AI
model training in the web 3. We're using you know the blockchain for
just less global labor market incentivized by crypto economics and
offering instant international payments so basically you know when we look into
the AI development we try to understand like which state of the
development you know cost the most and which one is you know require the most
labor force and it turned out the early the very early state you know that the
data allocations states where we need to label the data before uploading it to
the machine learning for it to learn it cost is the consumer like the the
largest portion of the development purchase and so we think this is where
the money come from right this is where like the AI the biggest AI company where
they spend money into so we try to bring that to web 3 we see that there's a
untapped work around the clock workforce in the web 3 where there's a lot of like
crypto users but they don't have you know some kind of like fixed income so
we try to bring that model into web 3 and turn it into a I would say like a
tokenized data annotation platform where we reward them for their labeling
tasks using it or stable coin perfect Tony you got anything want to add on
that yeah so the way we work is we build this initial model based on a very early
state of the data and then the data will then later on being peer-graded you can
say so by the human labor force and then when we got the peer grading from
the human labor force the data quality got increased improve so much and then
we use it to retrain the model again and then the whole cycle keep on repeating
until we got the accuracy above the roof like 80 90 percent then that model is
finally ready for productions perfect thanks Tony appreciate some of the
insights here guys so again I encourage people check out a couple of the threads
which I pinned to the top of the space and if you are of course enjoying this
space there's a few hundred of y'all in here but feel free to go ahead and share
it out if you have questions you can comment them as well below into the
spaces chat it's just that purple pill right there you can add that drop a
comment or just you know let us know where you're tuning in from all right
with that being said let's talk a little bit about how this differentiates itself
so you mentioned you know being the first but sometimes you'll be in the
first isn't enough right you have to also create differentiations and build
those moats and competitive differences so let's talk a little bit about it can
you share a little bit on how a IT protocol is differentiating itself from
the other projects both in the web 3 and the AI space because you're kind of
competing in both yeah for computing you know it's not quite because you know
here we tried to be the infrastructure for the development of AI in web 3 we
see a lot of AI projects you know popping up a daddy now some doing very
good some providing very good use case you know like inspect power AI they have
a really big ecosystem and you know that the app also have a lot of users so
we are not in the position to compete with them rather we try to help them to
improve their model from what you know when they need to improve the model they
need like someone to label the data the new data right to improve the model AI
cannot improve by themselves or by using the same data sets that you have
change them with so you need to change them the the machine learning with new
data sets and before doing so you need us people like us to clean the data
short out the data label them before they can use that so while we different
from order is that you know we calculate the infrastructure for that we help them
to improve we don't compete with them we can collaborate with anyone in the
weather is pay that you know who wish to improve the model so that's a new
unique selling point first we don't need to compete with anyone and we being the
first maybe being the only one in this field in the web 3 can like give us
advantages for you know getting more deals more contracts getting a better
revenue share as well and those thing goes back to our community where we can
grow a larger and larger audience and the labor workforce that's it appreciate
that yeah Tony do you have any thoughts to add on there as well as how you're
differentiating yourself from other companies yeah so not just being that
that annotation platform we are actually having our own models as well currently
we are deploying our model on bit tensor which is also another you can
see it as like a marketplace for AI development and I will be talking more
about that later on okay perfect so rolls me into something that you know I
really want to discuss here which is some of the recent milestones and
achievements I think this is gonna kind of give some color to things that you've
been doing right there's a lot of great ideas out there but execution is
ultimately what I focus on so let's talk about it I'll throw that over to AIT
first can you walk us through the recent milestones achievements things that are
actually getting done here with the protocol so yes we've been building for
almost a year now and we release the the first version of the data annotation
platform the better like back in the January no after that you know we kind
of shift our focus on potential because you know we see the opportunity there
there's a like 32 subnets in potential network and it's up now like you having
their own machine learning model so we kind of shift our focus over there try
to build run a subnet ourselves and you know trying to help all the subnets to
improve their model you know using the same same concept of that the
adaptation services and so we recently we registered our subnet you know in
early February and run testnet in February 23rd and the main after three
days after Tony's is the the lid for that projects and you know he's been
like spending countless of hours and the team you know to release the subnet the
man that as soon as as early as we could as we could and right now we have
been you know receiving some network waste from the validators and it's a
really big progress first in the future near future right we releasing the
front end where we can have our labeler to interact with the front end and
improving the accuracy of the model of the tensor network and I think it's a
really a really big breakthrough for us we can reward our labeler with
TAO you know with a stable COI or TAO and help to improve the potential
network overall also you know we're releasing more custom models on the
tensors trying to help other miners in the network to improve the accuracy as
well by that you know I mean like increasing that chance of earning more
TAO from the emission for the community for the community we are making an in-depth
guide you know for non-tech savings user to be able to set up miner on our
subnet as well so that's a few achievement that and our future plans
that's great and sounded like you're speaking to the team that Tony's been
putting a lot of time and Tony do you want to speak to that
yeah actually for this part I think he been nursing all the thing that we
already achieved but let me talk about how our Einstein AIT subnet so our
subnet Einstein AIT we see it as like a marketplace on with them so network
dedicated to the computation of complex mathematics logical reasoning and data
analysis most of the time we see now-of-the-day language model give you a
very generalized answer this is because they only know how to predict like the
next word you are trying to say and they just say things that they already
learned before like there are no not no really real calculation behind it and
they are usable for doing computations and logical and mathematic so our primary
use case for our subnet is to supercharge any existing large language
model by minimizing accuracy and enhancing the overall network
intelligence so we do this by enabling autonomous code writing and execution
we aim to bolster the capacity of the AI models ensuring that they can tackle
complex mathematical task with precision this is not only to improve the quality of
AI generated content but also opens a whole new avenues for research and
problem solving in the field that rely heavily on accurate data analysis and
mathematical computations that's awesome yeah I love how these models are
getting built out I mean maybe you can speak to this these models just take you
know what humans were doing even with computers and seem to really take them
to the next level whether it's with computing power the amount of work that
they can get done in a day what would you say and I think you know I guess
this gets us into a little bit more of it what is the Einstein AIT subnet what's
the actual use cases what are people going to do with this so I can see that
in the future when the whole because on bit tensor this is actually the place
that you can deploy your AI models on and having people to provide help you
provide you so like the minor and the validator they are actually providing
you computational power for you to work your models and this whole loop keep on
this whole loop keep on continuously going to help us improve the models like
in including the human labeler we have the initial model and then people human
validators can interact with the front end in the futures where they are
actually also validators helping us to improve the data quality plus the
computational power for all the miners that helping us on the subnet right now
I can see that our AI model is going to be a breakthrough we are going for the
north star we are going for the quantum computing as well so this model should
be your go-to problem-solving pal and we can know we can see that in the future
people can use AI as a research buddy for their thesis or whatsoever like very
complex mathematical and problem-solving appreciate it Tony yeah these
these models continue to get developed and build out and more and more use
cases kind of come to light so you have problem-solving in some of these other
pieces I guess kind of a fog question on this what are some of the more exciting
in your opinion upcoming subnet developments and partnerships community
can look forward to so like I said we are continuously working on expanding
the capacity capabilities of our subnet five through both technological
advancement and strategic partnerships one of the key development on the
horizon is the integration of more and more GPU minor and validators which will
significantly enhance our computational power and efficiency
additionally we are in the process of finalizing partnerships with leading
academic and research institutions a little bit hint of course is MIT that's
where I'm from to contribute custom data sets for complex mathematical and
logics these collaboration will not only enrich our subnet but also foster
a stronger ecosystem for AI and machine learning innovations perfect thank you
Tony okay another quick thought question for you Tony as well so there's
there's definitely some complexity here right when you talk about a protocol
leveraging AI technology to enhance things like data annotation tools drive
innovation in web 3 right some of these different pieces I'm curious how they
all connect so to kind of put that all together could you explain and feel
free to take some time here how a IT protocol leverages AI technology to
enhance the data annotation tools and to drive that innovation so first of all at
a IT protocol we leverage AI technology to improve the efficiency and accuracy
through data annotation our platform utilized machine learning algorithm to
automate the auto the annotation process first reducing the time and
resources required for data labeling and then this this automation
enables us to handle large data set with positions facilitating the training of
more accurate and sophisticated AI model so after them after the model did
the very initial annotation process we run these through our human labelers as
peer graders to improve the data the data quality to later on bring back to
improve the models and then when the model is improved we continuously
scraping for more and more data wide and far to continue to continue this
loop non-stop until the model is ready for collections and furthermore by and
integrating these tool with the web 3 technologies we ensure the data security
and privacy empowering user to control the data while contributing to the AI
development process our approach is not only streamline data annotation but
also accelerate the pace of the AI innovations beautiful thank you Tony
yeah I mean I think you know we're doing our best to explain to people obviously
there's gonna be some pieces where you just have to kind of dive into it and
in order to understand you kind of need to read through a white paper you need
to look at the pieces AIT you got a comment there yes so if you talk to me
about it you know the change your model and we you know we at the beginning you
know when we think when we charge like mega platform where people can interact
using the web 3 approach you know like connecting wallet scanning NFT for
identification everything works well right because now we don't need to hire
people we don't need to set up like human resources departments spending
money to interview other people just for the labeling job and it turned
out you know the web 3 is really help with this kind of like concept we're
cutting out the time the cost and you know getting easier for you getting a
larger space a larger audience a larger workforce so how do how does it really
look like is that you know we we did a NFT raffle freemen where we user was
coming in we welcome everyone who interested in being one of the like the
early labeling labeler and they can mean the NFT for free and that we serve as a
work pass then they can connect to our front end using that the same NFT and
doing the task there's gonna be like some lead limitation place on the NFT
they can maybe for example they can do like two to three tasks per day or maybe
ten tasks play depend on the demand of supplies and demand on depend on how
many the contract we guess or how many requests we got from other projects or
partners and they can employ you know in doing completing the task but you
know before they can employ there's gonna be some peer-to-peer you know just
double-check their verify their the answer just like when you know doing
your test in school and if they pass the verification they can under point and
these port can be later are converted to stable coin or towel you know in in
this case that's how the motor working just it's a simple kind of like concept
and we don't want to make it complicated you know which ones make it
like really easy for to onboard anyone to interest it also they can trade the
NFT I see that the NFT is being traded at a much higher price and you know
then we first minted and you know for the exact moral like how does it work
like how much reward they can earn per day we will have to wait till we release
our front end and see how many tasks we can put out there and get some numbers
do some calculation and we can do give our community a projection of how much
they can make from being one of our labeler perfect appreciate the
elaboration there yeah feel free to kind of hop in at any point to take time to
elaborate here we certainly have it okay I'll flip another question back to you
AIT and then Tony if you want to jump in as well both can cover this so part of
the model here is train to earn which is actually one that I wasn't super
familiar with I'd obviously heard of learn to earn you know walk to earn all
these train turns a little bit different what's the model look like and how can
users actually earn from it yeah I think my answer just after this question but I
would love to add more for today's so basically like right now we're using a
if a model where we call it a human in the loop where human work together with
the machine learning to label the data basically when the data come in for the
input we have a machine learning to put out what you call a pre-labeled data
sets it's not might not be you know accurate then we move that pre-labeled
data sets to our human department our NFT user where they label the data
again you know giving me you know refi it giving more accuracy and these the
final data sets will be I would say like we revealed by our data scientists
you know we have a team for that and the final result you know will be sent back
to our clan depend on their request and you know like if they request for 70%
accurate or 80% accurate we'll keep doing the loop until we reach the desire
like requirement so the as I mentioned that the change your model is just
something easy just like pledge your own or you know move your own we use your
NFT to complete the task get the point and convert the point to reward like
stable call it or tell for the you know and how much they earn we don't know yet
but we say like this uh this kind of job is really in high demand right now in
the traditional work where they pay label anywhere from I would say 200 to
like 300 per month and this only take about a 30 minutes of work per day so we
try to see there's a growing demand for this kind of concept in W3 because you
know there's a lot of AI projects out there and they all need that the
annotation services and we are one of the you know we might be the only one
right now in the market the offering this this kind of service so once we
release the front end we'll see like how much we can make from that and and how
much the user can earn from it as well that is definitely interesting pretty
unique have you seen any other companies that are doing that and if so how are
you doing it differently than they are maybe just like for now I haven't seen
anyone yet but we more calculate focus on the W3 data compared to our you know
one one thing for sure that we don't want to compete with traditional data
annotations company because those they doing the contract the huge contract for
for big AI guys you know like open AI or Gemini from Google here we want to
focus on W3 the W3 data is different from the traditional data to label the
W3 data you need crypto user you need some knowledge about the W3 some
knowledge about blockchain that's something that traditional company cannot
do all don't want to do because you know they have you like spend money to
educate their labeler a company usually have about the size of the labeler
approximately about a 1000 up to like 200,000 so you know educate everyone
would cost them a lot of money for us you know we have the W3 community where
they are equipped with good knowledge about W3 in crypto so we can pick them
you know traditional company on on that and focus on the W3 space beautiful
Tony you got thoughts on train to earn that you want to share yes so beside be
beside focusing on web 3 the whole missions of subnet 5 that we having on
Bitdancer is also to contribute to AI innovation across the world so by being
validators so the way validator works is it mimics how human would use AI to ask
some complex math or logical questions and then miners are actually more of
that what we were talking about the initial models right so we have GPUs
models and then the miners can provide the computational resource being a minor
in our subnet and help us pre-label those tasks that created by the
validators scripts and this is actually where all the tasks come from and where
all the data that need labeling come from and so yeah perfect thanks Tony
okay good stuff here hopefully this has been pretty helpful we got a few more
items we're going to touch on and then Brian I might go over to you see if you
have any questions afterwards but let's keep it rolling here because I'm
definitely you know learning a lot here for those that have come in late chatting
a little bit with AIT protocol here really about the future of web 3 at AI
integration that's exactly what they're leading into I think that that is the
right topic probably to be doing right now it's a very hot topic they're
building out the Einstein AIT subnet we talked about some of the use cases one
of the big pieces here is the train-to-earn model which we just walked
through now we're gonna roll a little bit into the tokenomics so I'll throw
this over to AIT can you provide insights into the tokenomics and how the
token is utilized within your ecosystem so yeah so so initially when we make the
the tokenomic we had about a 30% of the token supplies you know dedicated to
change on model where we were planning to reward our user with a token but you
know as we go as you know after a launch as well we launch and you know the
beta we kind of like figure realize that you know rewarding users with the token
will not help the projects in the long term because you know now you have a
constant selling and with the slippage as well like you know having our
plan to buy the stable coin and then you know buying the tokens will be too much
for them and that's not something we can you know improve so we kind of like
take out the token use that kind of utility out of the tokenomic and we burn
the 30% completely so how what kind of utility the token has right now we
figure like for the long-term growth of the projects and more stable growth to
our token holder it would be best to make AET a profit sharing where they
can stack a token to receive more AI rewards through the high APR also they
can earn a share of the tile emissions from our subnet also they can the another
one they can earn the ETH from the tax revenue where we just announced a
revenue share of 350k worth of ETH and I think that will help the projects more
we try to stay simple we don't want to add like crazy utility to the token or
you know give it any chance of you know making a high inflation tokenomic model
so our our goal right now is to reduce the supply as much as we can we have 15%
more on top of the 30% that has been burned the 15% is programmed to be burned
as soon as it's unlocked and it's gonna go on for the next 15 months starting
from today actually so we will burn like 2.5 million AET every
week for the for the next 15 months so the profit sharing there's no end day
for the profit sharing as long as you know anyone stuck in that pool they get
the rewards and you know we share the revenue back every Monday the amount
depend on the the tax that we got and that's you know my vision for now for
the future of the AET token. Tony you got thoughts you want to share on the token?
yeah so what I'm trying to work on right now is the token incentive for both
miner and validator within the Einstein AET Summit as well. Miner are reward I am
figuring out like how we can collaborate through smart contract miners are
rewarded in AET token not just mine trying to mine town from the
subnet so you can also earn AET token for contributing your computational
resource and for AI test day process similarly validator earn AET token for
maintain the network integrity and overseeing the quality of the outputs so
this incentivation ensure that the network remains secure efficient and
continuously evolving but this is kind of a teaser I am still working on it
right now and I hope this is this is something that we can achieve soon
perfect got it appreciate that okay we might circle back a little bit on the
token but I want to just get through a couple other items here you know there's
people commenting below where can I buy in where can I get involved so I think
let's talk about it right because there's multiple ways people can get
involved I think the big way here is going to be you know developers right
individuals and developers can get involved with the protocol contributed
to growth and development Tony how should people go about doing that right
so for individuals and developers our subnet report is actually open source
code base so we welcome any contribution on the GitHub repository and we also
encourage developer to build on top of our platform utilizing our API fine
tuning models and yeah just get up there and pick up and poke some holes
feel free but for those who looking to get involved in all the capacity like we
offer opportunity for data annotation as well obviously and model training and
participation in our community forums and discussion you can anyone can also
become a miners we appreciate every computational resource that is all it
really meant for building AI and yeah we believe in the power of the community
collaboration and we are always looking for passionate individuals who help drive
our mission forward very nice very nice okay anything you want to add on that
ways that people can get involved here yeah I mean I think Tony has covered
most of it but you know we welcome any death who can you know improve you know
have has more knowledge more experience working in the AI section and improve our
maybe visit model maybe our model after you know after they try with the
format that we're gonna release soon and for the user we try to onboard the user
as well that's you know let me say every tensor is a rough diamond right it has
so much potential so much profit to make on and we don't want just you know
onboard just tech savvy guy you know we want to onboard you know any any common
users and the script or use out there and by doing so you know Tony is making
an in-depth guy so anyone you know can join us can set up the miners thought
and you know try to make the profit for himself this is something we've been
you know having in our minds at beginning and and yes we welcome anyone
who want to walk with us to run the miner can help us all help us to improve
our subnet overall there you go a couple ways people can get involved all
right when will a it get listed on cx yeah it's funny how we've been we've been
asked this question a lot like recently so sex you know change your life change
is kind of like the next our next phrase we launch it on the next only we
make a name for ourselves we got a really good performance good charge and
I think in order to expand our audience you know to expand our exposure
centralized chance is needed in fact we have been reached out by a couple
centralized chance good tier one tier two and I can say the name but you know
we've been working with them behind the scenes maybe for a deal so as soon as we
got some kind of deal or confirmation we will update a community but I just want
to let everyone know that is our next focus you know the subnet and the
exchange getting bigger a larger audience increasing the token power you
know increasing our exposure to the more community more markets segment and that's
yeah our our roadmap for now awesome yeah that's great to hear so let's
think just a little bit more to this roadmap we spoke about kind of the
upcoming subnet developments and partnerships what else is on the road
map what else are you working on actively right now yeah we you know like
we have a large pack you know as a something like something to reward a
community the community right you know besides stacking I forgot to mention
that you know if you stack out IAT you are eligible for the idea as well we
have been working with we've received a lot of requests from good projects you
know to launch the idea on our platform initially we launched our token on now
on our platform for you know power sticker it was successful and it was you
know it feel within like 20 seconds so people you know think crazy about it and
try to like do the last part with that as well and there's a really good
projects that coming soon in in March this month and it's been confirmed you
know for the deal but I will review will review more detail information about a
project in the upcoming days but it's a really good projects the team has been
have like extraordinary experience in web 3 and I can't wait to review more
information about it to our audience and I just want to remind that it's only
likable to our IAT stackers perfect I have a couple more questions but Brian
I haven't heard from you yet do you want to jump in here any thoughts questions
I mean I think to rewind a little bit you know for anyone that's not overly
familiar with AI and how it all works I know this can get quite complicated but
you know at the very core of this I was advising and working with AI companies
going back to 2017 and even earlier and data is always the problem it's like how
do you get all this data and just storing it and the infrastructure around
it is extremely difficult and expensive and then not to mention training the
models themselves so what they're doing here on a very fundamental level is
solving some of those problems that allow you to sort of you know get build
what you actually want to build rather than get stuck in the data phase so to
speak so you know if you were if you think of chat GDP for instance right
there was there were people that had very similar ideas to chat GDP you know
going back many many years I remember a company very specifically that was doing
very similar but the problem was data how do you get all this data well back
then either had to basically harvest it somehow illegally or buy it you know
there's maybe a few other ways but it was very very very expensive and server
heavy you know and can time-consuming so now with with and I'm an investor in
IT because I see that this is needed you know platform in the AI space with
especially data and I was always looking forward to someone kind of
coming in and finding a way for blockchain and AI to work together in a
way that makes sense so I think this is the first version of that making sense
of AI and blockchain that I've seen and again I needed service for the data side
of AI I just can't you know it's it's you can't overemphasize how important
data is to AI you basically don't have AI without data and without you know
storing it and building the infrastructure around it to train the
models so it's it's the most important part it's it's water to humans it's that
important for AI so you can't overestimate you can't overemphasize how
important this is for the infrastructure side yeah yeah yeah you can
have AI without you know data and you cannot have the data without human you
know the AI would not be able to we probably talking about using AI to label
data or you know short out data by themselves but it's still impossible at
the current you know maybe where the quantum computer comes play but not no
AI right now can handle that's that work so we need human you know a lot of
humans to you know to clean out the data to short out data to label them to
prepare them for any kind of AI development and that's where most of the
money come from right that's where most of the budget spend on so I think we are
in the right direction and in the right topic in the right category that will be
relevant for the four years to come and there'll be more opportunity once you
know from my opinion like AI the AI chain just begin along with the the
poll market and we still very early right now even though we have a lot of
projects but the potential has not been maximized yet and we'll see more and
more useful use case no developing every day and I think they will will be one of
the very projects of that you know will be beneficial from all of this awesome
Brian you got any other thoughts there perhaps on a subnet
I know I think they kind of covered it all I mean it's just it's good to see
this happening yeah on the annotation side and tying that in with incentives
on the blockchain everything is just it makes a lot of sense it really does
streamline the process so I think it's a clever way to you know train models and
allow people to kind of earn and then sort of parallel to that so it makes
sense to tokenize this you know you see some AI plays that kind of don't
really make a lot of sense but this this is something that fundamentally makes a
lot of sense to have it tokenized with some of the core to sort of the learn
and earn kind of style so yeah very very nice to see that yeah I did have
another question I know what you talked about about your background and Tony's
what's the rest of the team look like so right now we have data scientist from
Ubisoft and then I myself from MIT Google Cloud Platform and others from I
think I forgot the name of that but I'm so sorry but most everyone they very
experienced in web 3 actually I am I feel like I'm the only one here with the
least experience in in web 3 but I'm your AI guy I am the one who oversee all
the AI stuff here very nice very nice okay that makes sense and then what's
the funding for this all look like kind of who's funding it have you raised
capital are you gonna raise more stuff like that so we we did our initial raise
the fundraising last year back in November 2023 we didn't like a little
over slightly over above 1.2 million and you know it will give us a runway for
the next three years with all the development and I think we will start
making profits from the subnets will be early and from there you know we don't
have to worry about our financial situation and so we don't have any more
plans for another race and with the fundraising we have been able to onboard
a lot of like people that you know support us you know to bring the
project this far and we I'm happy with that
sounds good sounds good and then what would you say are the biggest obstacles
or the toughest things that you're running into while building this and how
are you solving them I think the biggest obstacle would be the thorium gas fee
right now where we try to implement a couple incentive program for our
sticker our token holder but the gas fee is too high and that's kind of like
push back our plate a little bit a lot of plans but we're trying to find a
solution for that also the stack or on the AI side obviously the new
technologies where three is always changing as you know the new thing
always come out every day and with AI is even more we have to catch up with the
new technology from potential Tony actually has to learn their structure
their mechanism for two or three months before he can you know start building
building our current subnet it's not easy but we have a team of 30 techs you
know to working endless hours you know to improve our platform so I'm
confident that you know we will be one of the top guys that you know being able
to keep the late delivering and continue to develop the best products out there
perfect Brian if anything else you think we should go over well actually I'll ask
the IT is there anything else that we haven't touched on that you think would
be helpful for the audience to know I think like for if then you want to if
the audience want to learn about our projects I think the best way would be
you know checking out our white paper it's on the docs.iat.tech and learn
about what we do also we welcome anyone who wants to set up minus spot on our
subnet we can help them we have a team on our potential discourse the channel
subnet 5 and join in and ask your questions and we will be able to help you
to set up your own minor also like for our token holders right because the
apply is a lot of just in us you know being with us in the beginning some even
stack for almost like ever since we launched they haven't let me unstuck the
token so we appreciate that and appreciate that you know patient we
commit we are the our team is committed you know to keep delivering and bring
out the the best benefits to our token holder and we can with the net with the
shift of network waste from the potential to our subnet we are receiving
more and more some money with waste meaning we are starting to see the
profit from the potential subnet and we will be able to release the part of the
program where we do the kickback those incentive to our 80 holder very soon and
more information we will review later on sounds good okay so then Brian Brian
I was gonna come over to you anything else you think we should touch on should
we move into some wrap-up here I think I think wrap-up yeah I think this has
been very interesting to hear some of their depth of what's happening at IT
perfect yeah I think we drilled into this for sure if you were not familiar
with it beforehand and you're the audience you definitely have a much
better idea now let's roll through some final comments Tony anything else you'd
like to share with the audience any call to actions you'd like to put out
there yes like I said guys we really really need more miners on our subnet
we building AI is a super computed computational resort burning tasks you
know like we need we appreciate all the help we can get let's make a different
in the LMM space like I said we are the supercharger we will make will ensure
that the AI models it will be able to do much much more than we already see
right now perfect thing so I guess one thing yeah one thing I will say is you
know I'm a large investor angel investor in the space and have an investment
company as well and even though I'm really bullish on the AI narrative
AIT is only one of a few of in the AI sector that invested into I think there's
a lot of sort of garbage out there too that it's just trying to capitalize on
the AI narrative and this is definitely not the case with AIT I think this is a
really fundamentally strong especially with the BitTensor partnership there it
just kind of really validates what AIT is doing so I mean this is coming from
somebody that invests into a lot of different things saying this is
something that I'm really really watching closely so yeah awesome and then
AIT I'll turn over to you any final comments you'd like to share here before
we close out yeah thank you know I'm happy that you know got invited to the
space today happy to talk to Brian and you Wolf it's been my pleasure also you
know we want to have we will have more opportunity to speak to our directly to
our community later on where we construct AMA within a community call
within the out-discord channel or telegram until then you know we will
have a lot of things coming up that where we will be releasing one by one
and we can discuss all that you know within the community call I'm trying to
like learn more about the committee was there you know what kind of feedback do
they have for us and how do they want us to construct the you know the stacking
program you know the tile emission the tile incentive or the you know the
revenue share yeah there's a lot of things being uncertain right now but we
will try to clear out things one by one for this month and thank you for
attending this call as well perfect well thanks so much for coming on again I
encourage everybody to follow the speakers on stage take a moment to do
that make sure that you're going through to the pinned tweets you can
also just go through directly to their profiles and see the tweets take a look
at the Einstein AIT LLM take a look at the revenue share take a look at the
train to earn there's a lot of cool pieces going on here I see a lot of you
already following that account anyway so I think that you're in good hands so big
thank you to the 700 that came through today great to have you on I'll be on
more spaces later today around 2 p.m. Eastern so I look forward to seeing you
all then for now thank you to the IT team thank you Brian great having
everybody as always we look forward to the next one
thanks everyone thanks for having us