April 28, 2026 • 12 mins
Is truth collapsing in the age of AI?
What if we could actually prove what’s real?
In this episode of the Weekly ROAR Podcast, Dustin Hedrick and Brandon Billings introduce Proof of Truth (PoT)—a decentralized framework designed to verify data, eliminate AI hallucinations, and restore trust in digital systems. As artificial intelligence and centralized platforms reshape reality through bias, censorship, and synthetic media, PoT proposes a new foundation built on blockchain, cryptographic verification, and distributed intelligence.
This conversation breaks down how Proof of Truth works, including SLM mesh networks, decentralized storage, and incentive-driven validation—and why it could redefine the future of the internet.
- Truth is becoming fragmented—and centralized systems are making it worse
- Proof of Truth introduces a decentralized way to verify and store reality
- The future of AI depends on verifiable data, not just more powerful models
Resources & Links:
https://www.r0ar.io/
If this episode got you thinking, make sure to follow the podcast, share it with someone in your network, and stay connected as we explore the systems shaping the future of AI and the internet.
Weekly ROAR Podcast with Dustin Hedrick & Brandon Billings
Sponsored by https://www.r0ar.io/
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Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_02 (00:04):
Welcome back to your weekly Roller Podcast where we
break down the ideas, systems,and technologies shaping the
decentralized future.
SPEAKER_01 (00:15):
Today's episode is focused on powerful new
framework called Proof of Truthor Pot.
That's fun, isn't it?
SPEAKER_02 (00:23):
Yeah, that's that's that's awesome.
I think, like you always say,the headlines write themselves,
right?
The marketing is gonna do itsown work.
I mean, y'all, we're calling itthat.
This is our concept.
So this is not out there.
This is a new concept, proof oftruth, what you know people are
gonna call pot and they'll makefun of it, but I love that
truth.
We're gonna walk through thewhite paper step by step that
(00:46):
we're releasing and explore whatthis means for AI, blockchain,
and the evolution of theinternet.
SPEAKER_01 (00:51):
And more importantly, how concepts like
this align with where the Roarecosystem is heading.
All right, let's do it, Brandon.
So modern artificialintelligence systems are
dominated by large-scale modelsoperating within centralized
infrastructure.
While these systems arepowerful, they introduce
(01:13):
structural weaknesses that arebecoming increasingly difficult
to ignore.
These include opacity intraining data, uh, bias
amplification, centralizedcontrol, and the ability to
alter or suppress narratives.
At the same time, objectivetruth itself is beginning to
collapse.
Algorithmic curation, platformcensorship, manipulated data,
(01:36):
and synthetic media, such asdeepfakes, are reshaping how
information is perceived.
The result is fragmented realitywhere truth is no longer
universally agreed upon.
SPEAKER_02 (01:47):
So, what's the solution to this problem?
Proof of truth.
Proof of truth introduces adecentralized verification
framework that anchors data,events, and knowledge to
immutable blockchain records.
You can already see it kind oflends itself to it, guys.
Everything in Bitcoin is alreadyproven true.
This ensures cryptographictimestamping, tamper-resistant
(02:09):
storage, consensus-drivenvalidation, and permissionless
access.
Within this system, truth is nolonger abstract.
It becomes measurable, provable,and stored.
It becomes an asset, and moreimportantly, a rewarded
behavior.
This is where things begin toalign with broader Web3 systems
like Roar, where incentives,validation, and participation
(02:31):
all converge into economicdesign.
Truth in this model becomes acore primitive like compute or
energy.
SPEAKER_01 (02:41):
And so then we need to talk about an architectural
shift from LLMs to SLM meshnetworks.
Traditional large languagemodels are powerful, but
inefficient, centralized, anddifficult to verify.
Proof of truth proposes a shifttowards specialized language
models, SLMs, organized and injust a distributed mesh network.
(03:01):
Each model focuses on a specificdomain, finance, law, science,
et cetera.
These models operateindependently but validate each
other's outputs.
This creates redundancy,increases accuracy, and
eliminates single points offailure.
Together, they form what can bedescribed as a decentralized
hive mind.
And this concept mirrors wheredecentralized infrastructure is
(03:24):
going, including systems likeRoarChain, where distributed
coordination replacescentralized control.
SPEAKER_02 (03:30):
Let's talk about the Oracle layer, what we call the
idiot savant model.
At the center of this systemsits the idiot savant oracle.
Not a model designed to knoweverything, but one designed to
orchestrate everything.
It's better known as anorchestrator than an oracle.
We still need human oracles.
It routes queries, aggregatesoutputs, and anchors results to
(03:52):
verifiable data.
It acts as a coordinator,validator, and arbitrator.
Arbiter, sorry.
Arbitrator, whatever.
On lands, I can't speak.
Resolving conflicts, ensuringalignment, maintaining integrity
is its purpose.
What makes this powerful is itsconstraint.
It's constraint, not its reach.
Limited general knowledge, buthighly efficient orchestration.
(04:15):
This dramatically reduceshallucination risk.
So we've been utilizing this.
This actually works as afunction.
We've created it utilizing evenother AI.
This is a key principle that canbe extended into systems like
RORACLE, where orchestration andsingle aggregation matter more
than raw model size.
And let's be honest, it alreadyis.
SPEAKER_01 (04:36):
So then we talk about blockchain as the truth
layer.
Blockchain serves as thefoundation of proof of truth.
It provides immutability,transparency, and distributed
consensus.
Every recorded event becomespermanent, verifiable, and
globally accessible.
This introduces a new paradigm.
History is no longer written bycentralized authorities, it is
(04:59):
verified by the network.
And for ecosystems likeRoarChain, that becomes critical
because it's not just abouttransactions, it's about
verifiable state, verifiableactivity, and eventually
verifiable truth.
SPEAKER_02 (05:13):
And let me tell you, in the modeling we've built, uh
in some of the MVPs we've workedon, we've actually built in
mechanisms so that if they'rebad actors, things are slashed
and resistance against civil oruh denial of service attacks.
So what does this mean?
It means that you're a badplayer, you're trying to screw
with the truth, you get knockedout.
(05:34):
So this is important.
This takes away a lot of the oldadage.
To the victor is the writing ofhistory.
And that's not the truthanymore.
It's verifiable with consensus.
So proof of truth then becomesalmost a currency.
I'm making an argument thattruth in the future will be more
(05:55):
valuable than money.
And I know that sounds crazyhere in the now, but I've been
in this long enough and I'm oldenough to say that I've seen
enough that truth is more andmore becoming more valuable than
even money in our current dayand time.
So in this model, truth becomesan economic asset purposefully.
(06:15):
It is scarce becauseverification requires consensus.
It is valuable because decisionsdepend on it.
It is transferable because itcan be reused.
This opens the door to incentivesystems.
And believe me, we worked onsome models, we've MVP'd this.
It is exciting.
Validators are rewarded, falsedata is penalized, participation
(06:36):
is aligned with integrity.
This is where token designbecomes extremely powerful and
aligns closely with how systemslike Roar are evolving, where
staking, validation, andparticipation all tie into value
creation, not extractivebehavior.
SPEAKER_01 (06:53):
And so the next thing to talk about is
decentralized storage and dataintegrity.
Proof of truth requires aresilient storage layer.
Data must be distributed,redundant, and tamper resistant.
Technologies like IPFS, RWE,even Filecoin make this
possible.
They ensure long-termavailability and censorship
(07:14):
resistance.
This is the persistence layer,the memory of the system.
And it complements blockchainand AI in the same way
infrastructure layers are beinguh built across the Roar
ecosystem.
SPEAKER_02 (07:27):
Let's be let's be clear.
Speaking to that, we havealready trained AI to limit its
personality, its conversations,and its activity and learn from
its interactions based onmetadata in an NFT.
So we have verifiable datalocked permanently in
blockchain.
And whether or not there's alittle graphic there, the data
(07:47):
in that chain will always bethere.
And it communicates with it foraccess and controls what is
truth in the realm of that AIand informs and trains it.
This is powerful.
We've already proven the model.
Governance andanti-centralization principles.
Let's talk about that.
Proof of truth is built onpermissionless participation and
(08:07):
decentralized validation.
No single entity controls thesystem.
Validator power is distributed.
Protocols are transparent.
Participation is open.
This is critical to preventingcapture.
And it reflects the samephilosophy behind decentralized
systems like Roar, wherelong-term resilience depends on
removing central points offailure.
SPEAKER_01 (08:29):
And so some use cases that we need to talk
about, the applications of proofof truth, are broad and
impactful.
Immutable historical records, AIsystems with verified inputs,
transparent financial systems,trusted media and journalism.
Each of these represents a majorshift in how systems operate.
And together, they form thefoundation for a new type of
(08:52):
internet, one built onverification instead of
assumption.
SPEAKER_02 (08:56):
All right, let's engage the elephant in the room,
the challenges and openquestions that are out there.
So despite its potential, thereare challenges.
Scalability, standardization,handling subjective truth,
governance of disputes.
All those are challenging.
We are already building withthose challenges in mind.
We see challenges asopportunities in disguise.
(09:19):
So know this we're calling themout, and we've already addressed
a number of them.
I didn't even talk about what wehave addressed in the storage
layer.
That's going to be leaked later.
We are not looking at these astrivial problems.
They are the exact problems thatdefine the next generation of
decentralized systems.
That's why we're working onthem.
And solving them is whatseparates theory from real world
(09:42):
adoption.
SPEAKER_01 (09:44):
So looking ahead, the proof of truth outlines a
clear direction.
AI operating on verifiable data,truth secured cryptographically,
history that cannot berewritten.
This is not just an upgrade,it's a shift in foundation, and
it aligns directly with wheredecentralized infrastructure
like the Roar chain is heading.
SPEAKER_02 (10:05):
You know, proof of truth represents a fundamental
shift in how humanity definesand interacts with truth
generally.
By combining blockchain,decentralized storage and
mesh-based intelligence, a newsystem emerges.
One where truth is no longercontrolled.
It is proven.
I want to end with saying this.
Even as we were putting thistogether to talk about this
(10:27):
podcast and the script today,we're feeding this back to our
own AI, the white paper andeverything that I've spent my
life now putting together innotebooks and journals and
currently writing anddocumenting and verifying and
writing code for.
As we put all that stufftogether, the AI came back and
said, Do you realize what you'vedone?
Which we kind of did.
But it's fun when it recognizes.
(10:49):
It said, you're creating a newlayer for a new internet.
To be honest, we're not tryingto replace web one, web two, or
web three, but we do want toaddress the challenges that AI
has with its own hallucinationsand the problems with its bias.
And this will do it in a blink.
(11:10):
These are verifiable,decentralized rails that control
the future of AI without agovernment putting in
regulations and trackers thatbreak into the privacy of your
data.
We do not need, we do not need adigital ID that verifies your
date of birth so you can usesocial media and AI.
(11:33):
What we need is tools thatregulate and control the AI
outside of folks that can becorrupted.
We need something that hasintegrity and it ain't Congress.
And that's where I want to leaveyou today with this thought.
Thank you for being on yourweekly roar because ah, we're
just rabble rousers like that.
Brandon, thanks for being on.
Thanks, and we'll see you nexttime.
Take care, everybody.
SPEAKER_00 (11:55):
Thank you for tuning in to your weekly roar podcast.
See the show notes to learn moreabout the topics in today's
episode.
And be sure to subscribe so younever miss out on the latest
high impact trends andstrategies shaping the future of
decentralized tech.
Welcome back to your weekly Roller Podcast where we
break down the ideas, systems,and technologies shaping the
decentralized future.
SPEAKER_01 (00:15):
Today's episode is focused on powerful new
framework called Proof of Truthor Pot.
That's fun, isn't it?
SPEAKER_02 (00:23):
Yeah, that's that's that's awesome.
I think, like you always say,the headlines write themselves,
right?
The marketing is gonna do itsown work.
I mean, y'all, we're calling itthat.
This is our concept.
So this is not out there.
This is a new concept, proof oftruth, what you know people are
gonna call pot and they'll makefun of it, but I love that
truth.
We're gonna walk through thewhite paper step by step that
(00:46):
we're releasing and explore whatthis means for AI, blockchain,
and the evolution of theinternet.
SPEAKER_01 (00:51):
And more importantly, how concepts like
this align with where the Roarecosystem is heading.
All right, let's do it, Brandon.
So modern artificialintelligence systems are
dominated by large-scale modelsoperating within centralized
infrastructure.
While these systems arepowerful, they introduce
(01:13):
structural weaknesses that arebecoming increasingly difficult
to ignore.
These include opacity intraining data, uh, bias
amplification, centralizedcontrol, and the ability to
alter or suppress narratives.
At the same time, objectivetruth itself is beginning to
collapse.
Algorithmic curation, platformcensorship, manipulated data,
(01:36):
and synthetic media, such asdeepfakes, are reshaping how
information is perceived.
The result is fragmented realitywhere truth is no longer
universally agreed upon.
SPEAKER_02 (01:47):
So, what's the solution to this problem?
Proof of truth.
Proof of truth introduces adecentralized verification
framework that anchors data,events, and knowledge to
immutable blockchain records.
You can already see it kind oflends itself to it, guys.
Everything in Bitcoin is alreadyproven true.
This ensures cryptographictimestamping, tamper-resistant
(02:09):
storage, consensus-drivenvalidation, and permissionless
access.
Within this system, truth is nolonger abstract.
It becomes measurable, provable,and stored.
It becomes an asset, and moreimportantly, a rewarded
behavior.
This is where things begin toalign with broader Web3 systems
like Roar, where incentives,validation, and participation
(02:31):
all converge into economicdesign.
Truth in this model becomes acore primitive like compute or
energy.
SPEAKER_01 (02:41):
And so then we need to talk about an architectural
shift from LLMs to SLM meshnetworks.
Traditional large languagemodels are powerful, but
inefficient, centralized, anddifficult to verify.
Proof of truth proposes a shifttowards specialized language
models, SLMs, organized and injust a distributed mesh network.
(03:01):
Each model focuses on a specificdomain, finance, law, science,
et cetera.
These models operateindependently but validate each
other's outputs.
This creates redundancy,increases accuracy, and
eliminates single points offailure.
Together, they form what can bedescribed as a decentralized
hive mind.
And this concept mirrors wheredecentralized infrastructure is
(03:24):
going, including systems likeRoarChain, where distributed
coordination replacescentralized control.
SPEAKER_02 (03:30):
Let's talk about the Oracle layer, what we call the
idiot savant model.
At the center of this systemsits the idiot savant oracle.
Not a model designed to knoweverything, but one designed to
orchestrate everything.
It's better known as anorchestrator than an oracle.
We still need human oracles.
It routes queries, aggregatesoutputs, and anchors results to
(03:52):
verifiable data.
It acts as a coordinator,validator, and arbitrator.
Arbiter, sorry.
Arbitrator, whatever.
On lands, I can't speak.
Resolving conflicts, ensuringalignment, maintaining integrity
is its purpose.
What makes this powerful is itsconstraint.
It's constraint, not its reach.
Limited general knowledge, buthighly efficient orchestration.
(04:15):
This dramatically reduceshallucination risk.
So we've been utilizing this.
This actually works as afunction.
We've created it utilizing evenother AI.
This is a key principle that canbe extended into systems like
RORACLE, where orchestration andsingle aggregation matter more
than raw model size.
And let's be honest, it alreadyis.
SPEAKER_01 (04:36):
So then we talk about blockchain as the truth
layer.
Blockchain serves as thefoundation of proof of truth.
It provides immutability,transparency, and distributed
consensus.
Every recorded event becomespermanent, verifiable, and
globally accessible.
This introduces a new paradigm.
History is no longer written bycentralized authorities, it is
(04:59):
verified by the network.
And for ecosystems likeRoarChain, that becomes critical
because it's not just abouttransactions, it's about
verifiable state, verifiableactivity, and eventually
verifiable truth.
SPEAKER_02 (05:13):
And let me tell you, in the modeling we've built, uh
in some of the MVPs we've workedon, we've actually built in
mechanisms so that if they'rebad actors, things are slashed
and resistance against civil oruh denial of service attacks.
So what does this mean?
It means that you're a badplayer, you're trying to screw
with the truth, you get knockedout.
(05:34):
So this is important.
This takes away a lot of the oldadage.
To the victor is the writing ofhistory.
And that's not the truthanymore.
It's verifiable with consensus.
So proof of truth then becomesalmost a currency.
I'm making an argument thattruth in the future will be more
(05:55):
valuable than money.
And I know that sounds crazyhere in the now, but I've been
in this long enough and I'm oldenough to say that I've seen
enough that truth is more andmore becoming more valuable than
even money in our current dayand time.
So in this model, truth becomesan economic asset purposefully.
(06:15):
It is scarce becauseverification requires consensus.
It is valuable because decisionsdepend on it.
It is transferable because itcan be reused.
This opens the door to incentivesystems.
And believe me, we worked onsome models, we've MVP'd this.
It is exciting.
Validators are rewarded, falsedata is penalized, participation
(06:36):
is aligned with integrity.
This is where token designbecomes extremely powerful and
aligns closely with how systemslike Roar are evolving, where
staking, validation, andparticipation all tie into value
creation, not extractivebehavior.
SPEAKER_01 (06:53):
And so the next thing to talk about is
decentralized storage and dataintegrity.
Proof of truth requires aresilient storage layer.
Data must be distributed,redundant, and tamper resistant.
Technologies like IPFS, RWE,even Filecoin make this
possible.
They ensure long-termavailability and censorship
(07:14):
resistance.
This is the persistence layer,the memory of the system.
And it complements blockchainand AI in the same way
infrastructure layers are beinguh built across the Roar
ecosystem.
SPEAKER_02 (07:27):
Let's be let's be clear.
Speaking to that, we havealready trained AI to limit its
personality, its conversations,and its activity and learn from
its interactions based onmetadata in an NFT.
So we have verifiable datalocked permanently in
blockchain.
And whether or not there's alittle graphic there, the data
(07:47):
in that chain will always bethere.
And it communicates with it foraccess and controls what is
truth in the realm of that AIand informs and trains it.
This is powerful.
We've already proven the model.
Governance andanti-centralization principles.
Let's talk about that.
Proof of truth is built onpermissionless participation and
(08:07):
decentralized validation.
No single entity controls thesystem.
Validator power is distributed.
Protocols are transparent.
Participation is open.
This is critical to preventingcapture.
And it reflects the samephilosophy behind decentralized
systems like Roar, wherelong-term resilience depends on
removing central points offailure.
SPEAKER_01 (08:29):
And so some use cases that we need to talk
about, the applications of proofof truth, are broad and
impactful.
Immutable historical records, AIsystems with verified inputs,
transparent financial systems,trusted media and journalism.
Each of these represents a majorshift in how systems operate.
And together, they form thefoundation for a new type of
(08:52):
internet, one built onverification instead of
assumption.
SPEAKER_02 (08:56):
All right, let's engage the elephant in the room,
the challenges and openquestions that are out there.
So despite its potential, thereare challenges.
Scalability, standardization,handling subjective truth,
governance of disputes.
All those are challenging.
We are already building withthose challenges in mind.
We see challenges asopportunities in disguise.
(09:19):
So know this we're calling themout, and we've already addressed
a number of them.
I didn't even talk about what wehave addressed in the storage
layer.
That's going to be leaked later.
We are not looking at these astrivial problems.
They are the exact problems thatdefine the next generation of
decentralized systems.
That's why we're working onthem.
And solving them is whatseparates theory from real world
(09:42):
adoption.
SPEAKER_01 (09:44):
So looking ahead, the proof of truth outlines a
clear direction.
AI operating on verifiable data,truth secured cryptographically,
history that cannot berewritten.
This is not just an upgrade,it's a shift in foundation, and
it aligns directly with wheredecentralized infrastructure
like the Roar chain is heading.
SPEAKER_02 (10:05):
You know, proof of truth represents a fundamental
shift in how humanity definesand interacts with truth
generally.
By combining blockchain,decentralized storage and
mesh-based intelligence, a newsystem emerges.
One where truth is no longercontrolled.
It is proven.
I want to end with saying this.
Even as we were putting thistogether to talk about this
(10:27):
podcast and the script today,we're feeding this back to our
own AI, the white paper andeverything that I've spent my
life now putting together innotebooks and journals and
currently writing anddocumenting and verifying and
writing code for.
As we put all that stufftogether, the AI came back and
said, Do you realize what you'vedone?
Which we kind of did.
But it's fun when it recognizes.
(10:49):
It said, you're creating a newlayer for a new internet.
To be honest, we're not tryingto replace web one, web two, or
web three, but we do want toaddress the challenges that AI
has with its own hallucinationsand the problems with its bias.
And this will do it in a blink.
(11:10):
These are verifiable,decentralized rails that control
the future of AI without agovernment putting in
regulations and trackers thatbreak into the privacy of your
data.
We do not need, we do not need adigital ID that verifies your
date of birth so you can usesocial media and AI.
(11:33):
What we need is tools thatregulate and control the AI
outside of folks that can becorrupted.
We need something that hasintegrity and it ain't Congress.
And that's where I want to leaveyou today with this thought.
Thank you for being on yourweekly roar because ah, we're
just rabble rousers like that.
Brandon, thanks for being on.
Thanks, and we'll see you nexttime.
Take care, everybody.
SPEAKER_00 (11:55):
Thank you for tuning in to your weekly roar podcast.
See the show notes to learn moreabout the topics in today's
episode.
And be sure to subscribe so younever miss out on the latest
high impact trends andstrategies shaping the future of
decentralized tech.
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