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NOBLEBLOCKS: A Decentralized Hub for Researchers!🎙️ #DeSci
Recorded: April 14, 2025 Duration: 1:06:10Space Recording
Short Summary
Noble Blocks is set to launch the Bunz token, enhancing access to AI tools for researchers, while the NovoBlocks platform aims to revolutionize scientific publishing. Strategic partnerships and the introduction of Nerd Nuggets for research grants further highlight the project's commitment to innovation and community support.
Full Transcription
Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. Thank you. All right, we can get started.
Who do we have on the Noble Blocks account today?
Good afternoon or good evening. You're speaking with Shelley Boudreaux Christensen from Noble Blocks.
Awesome. Welcome, Shelley. And before we get started talking about Noble Blocks,
let's dive into your background.
What got you into crypto?
What were you in before?
And then ultimately, what sparked the idea?
Are you the founder?
I'm just, I'm not too caught up yet.
No, I'm not the founder of Noble Blocks.
But I mean, I've been with Noble Blocks since, you know, since its inception.
I'm starting with, you know, having dialogues with the founder who is coming from, you know, crypto background, very heavy into blockchain,
blockchain who was somewhat mesmerized by what was happening in scientific publication that he
just couldn't not look into it deeper. And that's how I met him, actually. And we've been working
together ever since. Understood. So what's your background? When did you jump into crypto? What
year? What were you doing before? And then we can dive into Noble Blocks and the Nerd Bunny as well.
I've published over 60 scientific articles in a range of things, primarily within health science.
So like how the body works, but also how can we measure different signals from the body as well.
And I jumped into crypto less than a year ago.
So I'm still experiencing blockchain and crypto with, I would
say, fresh eyes. I'm a little bit more tuned in to what's going on today than I was, you know,
a few months ago. However, I do find the space addictive, I guess would be a nice way to say it.
addictive, I guess would be a nice way to say it.
What part about it is addictive to you?
So there were a couple things.
You know, I came into blockchain really just through the technology first,
trying to understand like how this technology could improve the lives of scientists globally
trying to understand like how this technology could improve the lives of scientists globally.
and then through that investigation I was introduced to various crypto communities and
I was fortunate that I've met some people that have been in the space for a lot longer than I had
and you know they introduced me to you know like understanding like you know even the meme
communities I know we're not going to talk about that today, but just understanding why they originated potentially. And then other things
that I saw that I actually found quite intriguing was how strong some of the communities were
behind many projects across blockchain. So not just in like the DeSci space where we're coming from, but also
in DeFi space. I found that quite intriguing because I know some scientists, we have our
groups, but we tend to be fairly tight knit. But in the blockchain spaces, I found the communities
to be really like, they're really big and they're alive and people are tuning in every day. So that was something. And then in
addition to that, just tuning into what's going on in the world and how trust and security are
becoming something that people are going to need, but also want to hold more value in. So I think,
yeah, there are many reasons why I became interested. And then I suppose the last one,
which probably drew in a lot of people was really understanding, you know, global economy,
and how, you know, what funds certain activities and, you know, and basically the
concept of money, I suppose, was the last one. So there are four big things that really
got me into blockchain and crypto.
Should I keep going?
I'm not sure if you know that the host is muted but cannot hear questions.
Oh my god, that took so long. My entire Twitter screen was frozen. I couldn't do anything.
I was about to ping you in Telegram and I don't know if I could close the window because I didn't want to rug the space.
Okay, so yeah, I mean, these are – I think these are all adequate reasons to get addicted to the space, and I can understand why it's kept you here.
Let's dive into – I want to dive into Noble Blocks and then also Nerd Bunny to hear more about what you guys are cooking on that.
And from what I understand, Nerd Bunny is an extension of Noble Blo guys are cooking on that. And I'm, I'm, from what I
understand, Nerd Bunny is an extension of Noble Blocks, but correct me if I'm wrong. No, you're
correct. It's, it's, it's part of our ecosystem. So Noble Blocks covers many aspects of a scientist's
journey. And one in particular is, you know, the publication of science and the scrutiny and the rigor that that science needs to go through
before it gets published.
And NerdBunny is a tool that can augment that process
and it can be used by researchers,
it can be used by the team that does the reviewing,
but it can also be used by other people that are not researchers
and not scientists per se, but just want to have used by other people that are not researchers and not scientists
per se, but just want to have a better understanding of the scientific literature.
Understood. And so Nerd Bunny is an AI agent. Can you dive into that, please?
Yeah, sure. So one of the things that Nerd Bunny looks for, quite simply put, is that it looks for errors in research, or
as a scientist, I would prefer to say shortcomings, but I know errors is much better
in explaining what it does. So it can find really simple things to much more sophisticated errors.
to much more sophisticated errors.
For example, a simple error could be like a missing reference
or a wrongly cited reference in a scientific paper.
But more sophisticated errors could be, you know,
flaws in the mathematics or the statistics.
So it's quite a powerful tool when it comes to identifying
potential errors that could, you know, mislead a reader.
Not intentionally, of course, but it could nonetheless, you know, mislead a reader down the line.
Where is it pulling its info from? How do we know how accurate it is?
That's a really good question. I don't have access to all of them, all the details of, you know, where we're
getting the information with me, that would be something better left for the developers. But
the accuracy is something that you have to check on a regular basis. So you would have to run it
through, just like any other experimental study, you have to test it and run it. But what it does do is it, you know,
it's pulling off of, you know, a number of already trained large language models, and we're constantly
updating with new sources all the time. But it's specifically geared for scientific and academic
prose. So it's very, very much trained on, on scientific literature.
And can anyone use NerdBunny? Is there a cost? What is the cost? Do you have to,
is there a plugin kind of want to know from A to Z what the process is?
Yeah, no, I mean, anyone can use it. So you can access it, you know, just by visiting the website.
And you can upload like an existing paper, like a scientific article, and it will check that for
you. It's currently running for free. So anyone that wants to check it out and actually assess,
you know, the accuracy themselves can do that.
And we have a number of scientists that are doing it now.
You know, I've run some of my papers through it to see, you know, what the results are.
In the future, it will cost something because everyone here probably knows all too well that,
you know, some of the AI applications, they can be quite extensive and very heavy and costly to run.
So right now, there is going to be at some point, we'll be launching a token for that,
which you can use, but we're also making it widely accessible. So we'll be using fiat currency
as well, because this is something that scientists are much more familiar with.
as well, because this is something that scientists are much more familiar with.
And there's a whole plan in order to integrate and make that crossover into the two worlds.
So it's not something I don't know if we want to dive into that today.
I would love to dive into it.
I think it's the perfect time to dive into it.
it. Okay, we can do that. Yeah, so at some point, we'll be launching a new token for Nerd Bunny,
Okay, we can do that.
and it's called the Bunz token. And that's something that you can use to run and make
these tests on some of the research that you've uploaded. So it'll give you as a result,
like some examples of a result would be,
you know, what's the rigor of the study?
You know, like how, you know,
how solid are the method, like the method,
or how solid is the statistics?
Are the conclusions, you know,
do they make sense to the results that have been presented?
And you'll get a ranking, like a score from zero to 10.
And it will also flag a number of issues quite specifically.
So anyone that is using the output to, say, for example, take a decision on.
So a lot of, you know, some people in my circle, for example, they like to launch new companies based on scientific findings.
And so they can use it to see if the science is valid to back up that direction.
Other people, like, for example, Noble Blocks will use it to identify particularly weaker points of a paper of a new research that's been submitted.
And then the authors can address those weaker points in a paper of a new research that's been submitted. And then the authors can address
those weaker points in the review process. So for anyone that is using it, you can get these
benefits out of it. So you can check your research before you submit. You can take papers that have
already been published and check those. And yes, you can use crypto. And then for scientists that are maybe, you know,
quite new to crypto, they can also purchase the service with fiat currencies. And then that those
fiat currencies over time are used to buy back some of the crypto that is originally launched.
So the BUNS token. Yeah. so a bit of a hardball question.
Why does it need a token, right?
Why can't you guys just have fiat or USCT and avoid having a token altogether?
I feel like it could create a lot of friction.
Yeah, that's actually a really good question. And I think one of the rationales is because we wanted to make it part of the Noble Blocks ecosystem and then make it so that it's interoperable with our token,
with the Noble Blocks token.
So thereby employing the tokenization benefits
that Noble Blocks offers to scientists and reviewers and editors
that are doing the work of peer reviewing and, you know, really aiming to
keep science sound and the integrity high. Okay. I guess I understand that perspective.
And so when it comes to noble blocks, can anyone just come and submit a scientific paper? Do you
have to sign up? I'm just curious to know more about that
because I think one of the good things about or cool things about decentralization is I can just
come in and publish something and maybe I don't want to be known for it. Maybe I just want to get
the idea out there. So in the main page, I see like a login section, but I'm curious to know if people can just come and submit their research without having to do any of that.
Yeah, so it's primarily built for scientists, but that's open, but it's open to everyone.
And there are different forms of publishing. So for a scientific paper, like if you wanted to come and publish a scientific paper, you know, where you're going to say like, we ran a study, we collected this data and this data shows X, Y, Z.
You know, the whole reason of running a scientific study is because you're trying to push the scientific envelope forward and make a claim that could potentially influence a lot of people, a lot of
people and their lives. So that does require some level of authentication of who you are.
So there is there is some level of that required. However, it doesn't stop other individuals from
joining Noble Blocks and engaging in scientific debate,
you know, adding value by creating content on the Noble Blocks platform, because it is a social platform. So I do encourage people that are not necessarily or don't necessarily see themselves
as a scientist per se, but enjoy that type of debate or want to stay on top of, you know,
you know, cutting edge research within their field of interest. I think that would make absolute sense. So I suppose the short answer
to your question is, is we currently don't publish like blog articles, but there is other
types of content that you can produce as a member in NovoBlox.
Understood. And when you explain it like that, it makes a lot of sense.
So when it comes to NerdBunny, is it a Telegram plugin? How does it work from a nuts and bolts
perspective? It works quite easily.
um it works quite easily
i i think you i mean for for anyone that wants to check it out they can just go to
i think nerdbunny.com um and and run it um upload a paper um and run it i mean and you can set the
results to private or or or public and you will those results will be generated um set the results to private or public and you will, those results will be generated.
So the results will be generated and like if you set them to public, it'll be shown on the Nerd Bunny website.
But it will also, some of the results will also feed into the Noble Blocks feed.
that are publishing new research on NovoBlox
or that they want to upload research they've already done,
that can get pushed into the NovoBlox feed.
So, yeah, I hope that you don't have to use...
It's not on a Telegram channel.
It's a website.
You go there, you upload, and you wait for the result.
I got you.
Some of these agents have Telegram plugins.
It just makes the process more seamless.
But I understand the flow.
And I'm going to try it out, actually.
I have a girlfriend who writes these sorts of papers.
And it would be cool to plug it in.
Yeah, let us know your impressions.
I mean, we would love to hear them.
Absolutely.
So circling back to the token, are you guys planning on having a fair launch at a pre-sale?
Give us some more logistics about the token issuance plan as well as the tokenomics.
Yeah, so I'm not going to go too much into the tokenomics, but there's going to be,
there will be a pre-sale to my knowledge. The exact date has been, yeah, is yet to be announced.
And the tokenization is, you know, as I explained earlier, is, you know, where we have, for scientists, they'll use fiat and then other people can purchase crypto ahead of time, which is the BUNS token, you know, which is used to also
run the services. And then with time, some of the funds that are used by, you know, scientists and
other persons within the research community, that those funds will be used to buy back the tokens,
you know, increasing, I guess you would say the value of the token over time.
And before I get to audience questions here in a minute, what does the next year look
like for you guys?
What are some highlights and what are some things you're excited about?
Yeah, so like for the next year, well, just like coming up now, so in Q2, we're working and focusing really heavily on testing the NovoBlocks platform, which we haven't really touched yet today.
But essentially, this is a platform that can handle the entire submission process of scientific articles.
of a scientific article. So researchers submit their work. We pull reviewers from all over the
So researchers submit their work.
world and editors as well to give that a peer review. So that peer review is very similar to
like a roast. So like if you were, if you know, if you weren't being so nice right now and you
could, you know, you could really roast me and try and really vet and find all the, anything that you,
that could potentially be a, you know, you know, weakness, you know, that would be your job as a
reviewer. So, so yeah, so we basically roast the papers and in traditional, in the traditional
industry and scientific industry, that work is typically done for free. And what is happening as a result is that many
reviewers are now declining to do reviews because it takes too much time. And on the other side of
that is that while they're giving their work for free, the traditional publishing industries are
operating with like a 38% profit margin and, you know, extreme revenues, you know,
billions of dollars in revenue every year for performing these services. So that's actually
what NovoBlox does. And our current focus right now is to test the NovoBlox platform. So we're
pretty close to launching the platform. The peer review system is massive. It's a massive,
massive platform. And that's our primary focus right now. And then we'll be launching the
Nerd Bunny tokens, BUNS. And then following that, we'll be launching a funding mechanism
for scientists known as Nerd Nuggets. So we have three big things coming up
over the next 12 months.
Brilliant.
And any major partnerships?
That's the last thing I wanted to ask.
Any major partnerships?
Yeah, we have quite a few partnerships
that we have announced.
I mean, for anyone that's interested,
they can go to the NovoVlox channel and do a quick review. We're partnering with
groups that can help us improve our security and transparency. We're partnering with other
DSI platforms that work heavily with data and how to pull more from that data. So we have quite a
few partnerships already established,
and some of the next steps will be looking for partners outside of the decentralized science
space. So this is going to public institutions, such as universities and colleges, but also
funding bodies and organizations, in addition to other types of commercial partnerships that are interested in, you know, putting out requests to researchers to answer very specific questions for them.
Brilliant. And before I pass it on, is there anything that I haven't asked about that you find important to highlight?
asked about that you find important to highlight?
Yeah. Yeah, I think, you know, what, I think one of the most important things was just to
really understand why noble blocks emerged. And that was, you know, goes into the mindset of
what I believe, you know, really launched the DeFi space was just this you know somewhat a bit of a rebellion
against a centralized authority and a lot of gatekeeping and lack of transparency and
Noble Blocks is coming or is emerging as a way for you know scientists that have been you know
for many many years unpaid for the work that they've done. And
they did it because they, some people would say, like, why didn't they ever ask to be paid? And
I, you know, and you think, oh, well, like, that seems like such an obvious question. But
in scientific culture, we for many years believe that if you, if you get paid, that that would somehow jeopardize your integrity as a scientist,
that you should remain objective,
that you shouldn't have any influence over your opinion.
And I think that worked really well for a long time.
But now it's come to a point where these publishing houses,
they're getting paid.
They're getting paid for the free labor.
And because there's so much pressure on scientists today to publish, we really just don't have the time to give the dedication that's needed.
So Nooks is addressing these things.
So paying researchers for their time, making things much more transparent,
providing affordable publishing. So for those that are unfamiliar with scientific publishing,
a researcher will pay somewhere between $2,000 to about $10,000 US dollars to publish a single
manuscript. And there are expected to be well over 3 million manuscripts
published this year.
We passed the 3 million mark last year,
so we'll just wait and see how many more come this year.
So it's a really, really big industry.
And you only have to do really simple math
to see how many people are being unpaid in that process.
I really appreciate that insight.
It's incredible.
Aisha, you were up first.
Yeah, thanks, Na.
I have a few questions.
Okay, I want to know what protections are in place
for IP and research ownership
if everything is published in an open,
decentralized environment?
And how do you handle the need for reduction or legal take-downs,
for example, copyright violations, sensitive data exposure,
or ethics bridges?
Yeah, okay, so three questions.
So the first question was, so open access is a publication which actually allows researchers to retain their IP rights.
So this is something that you can choose as a researcher on Noble Blocks.
So that's pretty standard approach.
So we will not change the IP that goes in association with open access.
So that means for those that are not familiar with the scientific landscape,
so when something is published in open access,
it means that you can take a graph and you can repost that graph
or that image from a science publication on X, on Insta, on LinkedIn,
whatever platform you like to communicate.
And as long as you say who was the author behind that research,
then you have given that credit to the research.
But that open access allows other people to use what's been published.
But the author still retains the rights, right?
So they still own the rights to that research.
But the reason why you want to open access is because, you know, you want that research to be shared.
And I think, you know, it provides two benefits.
Open access provides two benefits.
So one, retains the rights for the researcher.
Two, allows people to share your research with the rest of the world um yeah and then the other
question was uh i believe like uh the ethics um oh yeah copyright infringement um yeah i think
you just have to let us know um and then there are certain like you know know, off the shelf tools that you can use to look for copyright infringement. And then usually, you know, you follow the very standard guidelines. So like if someone from a university institution knowingly tries to manipulate their data
or make some sort of intentional error to mislead a reader,
yeah, that individual will be reported to their institution
and it's up to the institution to handle that situation.
And there are many cases that have been on the media headlines
where institutions have dealt with that type of behavior.
So that's the pathway we'll take.
I hope I've answered all of the questions.
I don't know if I missed one.
You answered all of them.
I have more questions.
I want to know, can research authors selectively
publish supplementary data on chain while keeping sensitive elements private for ethical or
commercial reasons if so how is that technically handled yeah that's something that should be
handled first with your university or organization that you are working with. Again, there are some go-to approaches.
So if you have sensitive data that you're planning to use, like for example,
to support a patent application, then it's probably just about timing of when you publish
that information rather than publishing or not publishing. And then if certain data are required in order to make a validation
or claim in a research paper, then you'll either have to choose to publish it or not. I mean,
that's, you know, Noble Blocks is a public publication platform. So we will aim to uphold
the highest integrity for publishing as possible.
And that requires some decisions that will have to be made beforehand by the people that are doing the research on how and when they want to publish their data.
I understood.
Are there any plans to allow users to select their preferred AI engine, such as Grog, Gemini, or Chad GPT,
for conducting research and validating scientific papers
on the Noble Blocks platform?
Okay, so, yeah, so right, like this is what,
I think if I understand this question,
I maybe understand this question a bit differently
than how you've posed it.
So one idea is that when you perform research and you write up your results, you may lean on some of the large language models and AI agents that you have listed to actually produce that publication.
So we do have a declaration of how you've used AI in our
publication protocol, like when you submit. So that is definitely something we have considered,
and it's super important. But in terms of using the platform, yeah, we'll have some new AI tools
in the platform that you can use to search and find and make connections as well. But those will come out at a later time.
Awesome.
And do your AI-powered tools have the capability to factor in dynamic data, such as social
media sentiment, news feeds, or training academic discourse when analyzing or during
assessment of research papers?
Yeah. Yeah, I really find the sentiment component quite interesting. And there are some tools that
exist currently that are able to analyze that. So for listeners, that means like,
what it does is it looks at like how research has been cited by other researchers. So sometimes
research that comes
out, a lot of people say, basically say it's like, oh, that's not true. And so there's a lot
of negative sentiment towards a particular paper. And sometimes there can be a lot of positive
sentiment towards a particular research paper. So yeah, those are tools that exist. And
most of the models that I'm aware of
are able to handle that type of analysis.
So yes, it's definitely something that is possible.
In Nerd Bunny, right now, we don't have sentiment.
We just have, we're just really focusing on designing the tool
for sophisticated errors and of course, the simple errors as well.
Got it. Okay, final question for me. I want to
understand, does Noble Blogs offer any tools or AI features that help authors strengthen their
papers by suggesting relevant academic references or citations while they're writing and publishing their work? We will.
That's all I can say.
Yeah, it's in the works.
It's cooking.
Great.
Thank you so much for answering all my questions.
Nice talking to you.
Nice to meet you also.
Thanks, Aisha.
Great questions.
Let's hop over to Captain Levi.
I think we lost Rahmat.
Oh, never mind.
There he is. Let's go to Captain Levi and then we'll go to Rahmat.
Right. Yeah. Let me run a quick mic check. Can you hear me?
Yes, we can hear you.
All right. So I have a couple of questions regarding the research ecosystem.
I'm also a researcher. And one thing that caught my attention on you was the fact that you
said that while some journals charge thousands to publish, limiting those who get to share
the knowledge, it's time for making it a fair system.
When you attach research to skill sets, especially the value of the research depends on the impact
that studies have had in that particular subject
in relation to a real-world application. Now, while some people choose to, would I say,
keep this research is because of, of course, copyright violation is there, but then
other people argue that, of course, we understand that you are the one who
builds this system of knowledge,
but then we also want you to,
we also want you to share this knowledge in a sense.
The argument two and four is that
this should not be easily accessible
or it should be for a niche set of people and for others the others say that we want it to be openly available so how do you guys gauge
that what's your take on that before i ask how the ecosystem addresses okay um yeah so let me
let me just try to re uh re uh re-adherate your question so um So your question is about how to value or gauge the
impact of research that is published. And that research, of course, could be research as
published on noble blocks, right? But I would say that your question is general first and then can become very specific for noble blocks.
So the impact of research is kind of like, what's the expression?
Like beauty is in the eye of the beholder, right?
So there are certain sets of research that are particularly valuable for niche communities.
there's certain sets of research that are particularly valuable for niche communities.
And so what I may find particularly valuable for like, for maybe a company that I'm interested
in starting or for insights, you know, that I'm working on will be different than yours.
So that so I think, you know, gauging research and its value can is a very
philosophical question, especially because many of the research that we know that have received,
like some of them that have received Nobel Prize, they didn't, you know, that value wasn't really
recognized until many, many years later. So that that's, it's like a really, really huge question.
So that's a really, really huge question. I do know that NovoBlox, however, aims to extend the results of that research and then pushing it out in forms that other members of society can digest and understand.
As you are a researcher, you know that some scientific lingo can be very, very off-putting, you know, and very boring for people that are not in that very niche area.
for people that are not in that very niche area.
So that's what Noble Blocks is doing.
But gauging the impact of research, that's a deep question.
And I think, you know, we could probably have a whole space designated towards understanding
and coming up with markers for how to assess the impact of research beyond how many people
actually cite it.
Yes, I actually agree. It's a profound take. beyond how many people actually cite it.
Yes, I actually agree. It's a profound take, depending on the context that is being researched. So I actually just wanted your input regarding that. The next question I asked was concerning
a statement that you just made. Over time, of course, with the way people see it is that
time um of course with the way people see it is that uh businesses that businesses that are
presented at the wrong times do not really hold value um if i want to bring it into the context
uh into a reward context is um in the events that uh let's say blockchain blockchain technology was
presented in the research format like 100 years ago, so to speak, or maybe
50 years ago, it's people won't really see the value or not very many people will see the value.
So just as the value changes over time, will the value on the Noble Blocks ecosystem change over
time, maybe based on factors like demand or impact uh how would you would
it also be changing you making these changes over time maybe is there a sharing system which will
be changed um depending on the impact of said research yeah so um yeah so you know the the
publication process itself yeah we definitely believe that with time, we would like to improve and maybe, you know, challenge the traditional ways of performing can the data from those studies be shown in real time so
you actually have a new way of you know verifying the data that that is sort of you know that the
publication rests upon so I think what we'll see in time is we'll see like new ways of how insight
is truly generated I think the other values will come into
how much data is affiliated with Noble Blocks.
I think we need to rethink
how we publish data in publications.
So how data is published in table form,
how data is published in graph form.
And I think these types of questions
fit really well with people that are interested in blockchain community
because they're really interested in finding new methods and new approaches to extract additional value
and layer additional applications on existing blockchain technology.
So in terms of like new and transformation, I definitely see that there is a map forward,
but, you know, first we lay the foundation, you know, we lock in the most critical features of
the scientific publication process, and then we build and we build and we build, and then we
look to see what society needs and we look to see how the scientific industry is changing.
look to see what society needs and we look to see how the scientific industry is changing.
So that would be my take on your question for like what, you know, how we're going to
scale and what the future value of noble blocks will be.
That's interesting.
Students, college students, B.S.U. degree, those who are aspiring to have degrees, those
who are aspiring to have diplomas, are there any assistive or AI assistive features? For
instance, if I am researching on the impact and application of ZK proofs or why ZK proofs,
finding a way to make ZK proofs use less computing power um in the event i maybe i type it
in the search bar i'm still yet to you know get the complete overview of the novel blogs but i'm
definitely bookmarking this um if i type this in the search bar um how is your search how is the
search indexing uh going to assist me um and what are the chances that I do not really spend too much time
scrolling through pages and pages of content?
That's a really good question.
I actually, you know, I'm not developing that particular feature
directly with the software developers at the moment.
But yeah, I mean, we do have a very sophisticated search planned out.
You know, there are tools already that exist, you know,
for locating relevant research, which is really what you're seeking, right?
So it's more like when I search for something,
how quick can I find the right, what I'm seeking?
And I think, you know, that's, you know, Google made an entire business off of that question.
So, yeah, I mean, we probably use existing technologies, of course.
We don't need to reinvent the wheel every time, otherwise things get expensive.
But that, you know, if you look at, if we have to change the way that science is produced, it also comes down to, like, can we improve how we label science?
You know, is there different ways that we can extract value in scientific publications?
Can we add additional layers that then can be can be used as its own search term?
And maybe that layer is the data that exists in a table.
So I think we, you know, it's not just about words anymore. I think it's going to be larger deductions from research papers. And I
definitely see that as advancing search capabilities rather than just strings of words.
Yes, it used to be strings of words until generative AI came and all the gimmicks that came with it.
Honestly, when you did say Google, you did say Google and the next place my mind went towards LLM,
likes of ChatGPT and likes of DeepSeat. Why do I say so?
It's been a while I used Google search. Let me put it that way. I'd rather use something that's a lot more pointer specific. I that said result because it's more appealing.
The reason for me to click the results is more appealing.
So this is a change in trend.
Now, this change in trend has one way or the other impacted Google.
I think rumors had it that Google did a quadrate because of the advent of these
LLM models that came out. Definitely at some point in time, NovoBlocks will also make this
kind of impact. So what's your team's approach in ensuring that you keep those who are, how do I
put it, those who are using the same impact but in the old
context on their toes and give them a reason to look over their shoulders so
to speak. So I think your question is is like if I'm searching for research on
the Noble Blocks platform why would I search there than anywhere else is that is that the
question hmm okay let's let's start with that this is what this I'm saying so
improvement over time for instance comparing Google search to asking a
question yes I mean I think we're getting a little far away from the main services of NovoBlox.
So NovoBlox, first and foremost, is a scientific publication platform.
It is a place where researchers aim to publish their results.
And those results are vetted and scrutinized in a very sophisticated manner
so that the data and the claims that come out on the other side
are something that society can place some level of trust in.
And then the second part of that is what you're asking is like,
how easy can we find those results?
And I've been using
a lot of AI tools as a researcher now so I like one of the things that I do is I look for golden
nuggets in scientific literature and I help businesses use those golden nuggets to like
improve their um improve their company uh sales and you know, overall strategic development. And I would say like,
we do have a long way to go still in order to get like to those really, really big level insights.
So, and again, I think this comes back to the ability for search tools to be able to make
more sophisticated levels of induction, but not too big.
Because once you, like, one of the reasons science is science is because it's true under
very specific circumstances and conditions.
And once you change those conditions, then often the claim is no longer valid.
So I think that's where sometimes getting the right answer often depends on whether that answer exists. And
if it doesn't exist, then you have to triangulate between different findings and then deduce whether
or not, you know, and deduce your own answer. So you, so I think that's where we're at. And
and maybe AI will bring us there at some point, But I still think, like in the work that I do, I
always have to go back and double check the exact details
before I can make any higher level deductions. So, so yeah, so
you get close with your search is what I'm saying. But
yes, of course, the main objective is the reason for
doing research is because we are finding answers.
If we had all the answers, there would be no need for research.
I really appreciate all the insights you've shared.
I have a lot of key takeaways.
I believe that what you guys are actually building is definitely, in one way or the other, revolutionary.
And I really hope that the sooner people see the impact of what you're building, the more they use it. I wish you
the very best. I really hope that Nugu Blog stays for the Shmoon World. Thanks again for the insight.
Thank you for your great questions. It was my pleasure.
Yeah, thank you, Captain Levi. Awesome questions. Let's go to Rahmat and then we can probably
wrap things up.
Yeah, thank you. I also have a couple of questions. Okay, I was wondering, how do you resolve
conflicts when community members and AI agents disagree on whether something is an error?
And is there any arbitration layer? And if so, who is involved in this process?
Yeah, excellent question.
It's a process for sure, right?
And it will be a learning process too.
And it'll be a process that evolves over time.
And, you know, that evolution will also be, you know, as our AI genes become, like as Nerd Bunny, for example, becomes smarter and smarter, the more we can rely on some of its,
you know, red flags. But to answer your question for like how we are currently, so Nerd Bunny is like an initial pass that will push the research through. And that initial pass is really just
meant to augment and provide, you know, helpful feedback for researchers.
So the output of Nerd Bunny will be shared with the editors and the reviewers.
And any sort of red flags, they can be addressed by researchers either right away or they can be discussed, like they can be refuted by the authors
if they think that you know nerd
bunny um is being outlandish so to speak um and then you know but but where we are now is like
the like we'll use um the peer review system um as it was always originally attended so you usually
rely on a triangulation of um expert opinions regarding the novelty and the soundness of
research. So, you know, we'll use the feedback from the reviewers and then the editors will,
you know, push that information together.
I think we might have lost her there. Oh, how much did I get out?
Or was I silent for a long time?
Probably the last five seconds, so it wasn't too long.
Oh, yeah.
So reviewers and editors and Nerd Bunny work in an iteration process.
Yeah. Yeah. It makes sense.
Okay. Can you hear me guys?
Yes.
Okay. I was also wondering how do you ensure that your social feedback loop system
doesn't allow community to maybe suppress diverse viewpoints
due to community pressure when publishing any such papers?
Oh, that's an excellent question.
And I don't have an answer for you today on that,
because that is something that is better answered
by our software developers
on how they are managing that component.
No worries, no worries.
Okay, I was also thinking, are you in talks with any academic publishers
or maybe universities department in future to integrate NerdBunny
directly into their submission workflows?
Yes, so we see NerdBunny as a very versatile tool,
and then NobleBlox, of course, as an interesting outlet for researchers globally.
Nerd Bunny, for example, had an interesting discussion with a colleague of mine who was like, yeah, he really thought it would be very fun to have Nerd Bunny go up against the PhD students on critiquing a new research paper because this is the process of learning.
on critiquing a new research paper because this is the process of learning.
So we think that there's going to be a lot of fun ways Nerd Bunny is going to integrate into the training of PhD students.
But also Nerd Bunny will serve as a tool to, like I said before, facilitate time to publication,
reduce the number of errors that exist in publications today. I mean, there are
unwanted flaws and errors. We know that. So yeah, so I think we're going to see Nerd Bunny
in many, many different places. So yeah, we are in discussion with scientists. I've spoken with a few other journals, editors that are also looking for tools to
improve their workflow. Talking to my fellow colleagues about publication issues and dilemmas.
I mean, there's a whole plethora of them. Too many. Yeah, many, many. And they're looking,
you know, they're looking for better ways to publish
their research they don't want it to be a huge hassle anymore there's just just so much on their
plate right now yeah awesome awesome thank you so much for your time i want to you
thank you
thank you rahmat okay so we are at, closing in on the end of the broadcast.
It's been a pleasure learning
about what you guys are building.
And I think it's one of the few AI agents
I've interviewed that seems to have
a tangible use case.
So if you have any closing thoughts
for the audience,
go ahead and share them now.
Otherwise, it's been an absolute pleasure.
Yeah, so yeah, for sure.
We exist primarily to address real world issues coming from the scientific industry.
We know that science touches every aspect of our lives.
I think for those that are interested in what we're doing, just follow us.
We have three main accounts.
So we have Novoblox, of course.
We have NerdBunny AI.
And then we also have NerdNuggets, which is the funding mechanisms for researchers in the future.
So those that are interested in following the roadmap of Novoblox, those would be the three accounts.
Wait a minute.
Now that you mentioned NerdNuggets, I don't know if we talked about that, but we should definitely quickly dive into
that because I think that's really important. Yeah, sure. So Nerd Nuggets is gearing up to be
a place where the communities can help divert funding towards certain research questions
in certain areas of science that facilitate and support projects.
So there are small research grants that help kickstart projects and get them going.
and get them going.
We're part of a larger DeSci community
that is looking at how to support funding
for scientists in various fields.
So we're part of that landscape as well.
I think it's going to be a really, really significant role
that the DeFi community can take part of
and can facilitate things that they feel and see as
something that needs to, that we need to improve. So in this way, we're not waiting for a centralized
funding to fund research in one particular direction. So maybe those first things that come to mind could be
like alternative approaches to improving your health. It could be approaches that don't
necessarily appeal to larger pharmaceutical industries. Not that that's necessarily a good
or a bad thing. It's just that there are certain things that
do need funding in different
ways in order to make it out into society.
So Nerd Nuggets, I'm
really excited for Nerd Nuggets. I think it's going to
make some change. I couldn't agree more
and that's why I really wanted you to highlight
some of the key points before we close things out.
So thank you everyone for joining.
And remember that everything you hear on these broadcasts
is meant for educational purposes only.
Nothing is financial advice.
So be safe out there and we will see you all
on the next one soon.
Take care.
Great talking to you.
Thank you. Thank you, everybody.
