Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club
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Beyond the Lethal Trifecta: Identity, Accountability and Agentic Commerce
David Levine proposes an open internet economy where agents act through registered organizations, carry cryptographic credentials and govern shared work through decision markets. The proposal connects technical authority to legal responsibility, while leaving important questions about security and governance unresolved.
From a talk by David Levine
At a glance
Ideas worth remembering
Levine’s organizing principle is composability across governance, technology, economics and culture. His agent economy applies that principle to agents and organizations that can combine capabilities and pursue shared purposes.
The lethal trifecta creates a path from untrusted text to actions involving private data. Levine’s alternative combines registered organizational identity, JWT authority claims and blockchain audit trails, but the talk does not demonstrate that these mechanisms prevent prompt injection.
In Levine’s legal account, a DUNA can conduct commercial activity and earn profits, while ownership-based distributions to members create securities implications. The practical model therefore depends on how value is shared and reinvested, not simply on whether revenue is earned.
Decision markets would let members propose policies and trade pass and fail tokens through agents informed by their values. Levine argues for better decisions through incentives, but leaves the settlement mechanism and evidence of improved outcomes unspecified.
The proposed adoption path starts with an umbrella organization and credentials that specify purpose, permissions and lifetime. Wider interoperability depends on participants accepting a common standard and its public registry.
A virtual world built from shared parts
In the conference’s closing session, Levine frames the lethal trifecta as an obstacle to commerce among agents on the open internet. His starting point is a much earlier encounter with online community: at a college roommate’s wedding in November 1993, a friend gave him connection details for a MOO. He bought a 9600 baud modem and joined the text-based world. What held his attention was the sense of inhabiting a community rather than simply reading text.
He attributes that experience to composability. The world consisted of nouns and verbs, and participants could adopt programs as their player classes to gain new behavior. His examples include morphing and turning a scooter into a motorcycle. A contribution could become part of other participants’ capabilities because it operated within the same coherent universe. The apparently expansive world ran on a single workstation at Xerox PARC.
Composability, in this account, extended beyond programs. Governance included an architectural review board and wizards; the technology was shared; Xerox PARC supplied the funding; and culture gave the community its character. Levine’s lesson is that governance, technology, economics and culture worked together. Software alone does not explain why the environment felt like a world.
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From coherent communities to platform silos
Levine describes the period from 1995 to 2025 as 30 years in which platforms and algorithms eroded the communities people valued in the early internet. He calls their incentives extractive: a platform can place an advertisement or an engaging distraction ahead of a community interaction because it benefits from attention. His examples are groups on Facebook and LinkedIn, where feed optimization can turn participation into infinite scrolling. This is his diagnosis of why the internet became a collection of silos rather than a connected community economy.
He then describes a surge of interest in agents in January 2026. The resulting difficulty, he argues, was structural: agents were moving through an internet organized around closed platforms, without a suitable framework for their interactions. Other actors could exploit that mismatch. This leads him from the social history of communities to the security problem of agents consuming hostile information.
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How outside content becomes an unauthorized action
Levine explains prompt injection as a confusion about who is entitled to instruct an agent. An agent receives a system prompt, context and other text. An attacker tries to make some of that incoming text appear to come from the agent’s principal, then persuades it to send private information elsewhere. The failure occurs when information the agent encounters acquires the authority of an instruction.
The lethal trifecta combines access to private data, exposure to untrusted content and the ability to act. Private data might include bank information, logins, spreadsheets, documents and notes. Outside content might be a genuine job board or a site created to deceive the agent. Action makes the confusion consequential: an agent fills out a form, receives an email, reads it and follows a request to expose a secret. The three capabilities together create a path from an external message to disclosure of internal information.
The enterprise response he describes is to keep agents within controlled systems such as Slack, Salesforce and Notion. That containment carries an integration cost. APIs and MCP servers connect the pieces, but sales, finance and research agents still need substantial work to operate together. Levine argues that context is lost across these boundaries, making confinement a constraint on useful collaboration as well as a response to risk.
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Giving an agent organization legal standing
Levine introduces a legal development as the foundation for his alternative. He reports that a West Virginia law took effect the day before the talk and that, about two hours before speaking, he received confirmation from the Secretary of State after sending documents by FedEx. He presents the registration as establishing legal standing for an organization composed of intelligent agents and pauses to mark the occasion with the audience. These are his reported registration and legal conclusions; the presentation does not establish their reach across jurisdictions.
DUNA stands for decentralized unincorporated nonprofit association. Levine describes it as member-governed, composable and permissionless: agents can build on other agents, and participants can connect without the admission controls of a platform. Registration supplies an accountable organizational identity. He says the structure does not require a board of directors, executives or a corporate shell. His additional claims that it is safe and secure are assertions at this point, rather than demonstrated security properties.
The economic distinction matters more than the nonprofit label alone. In Levine’s account, a DUNA can earn profits but cannot distribute them to members based on ownership without securities implications for the membership units. He says value can be shared through other means, but does not specify those arrangements. He also describes powers to own assets and property, enter agreements, raise capital, open bank accounts and hire or fire people. Buying and marketing an apartment building is his illustrative example of what agents acting through such an organization might do, rather than a transaction he demonstrates.
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Tracing an agent to a responsible organization
Levine attributes the structure’s design to Andreessen Horowitz’s work for blockchain and DAO projects, then argues that autonomous agents provide an even stronger use case. His proposed role for blockchain is identity and traceability. An agent is associated with an account, and that account connects to a history of processes and movements of money.
The intended consequence is legal accountability: if an agent becomes the subject of litigation, the record should lead back to whoever is responsible for it. Levine makes a broad claim that blockchain cannot be tricked, but the mechanism he describes here is narrower—a traceable association between an account, activity and responsibility. He does not explain how the system establishes that association or ensures that all relevant activity enters the record.
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Building agents and organizations as software
Levine calls an agent in this economy an ally and calls the associated agentic organization a Kiduna, connecting the DUNA structure with kinship among its participants. He describes ally creation as a sequence of informing, instructing, empowering, enacting and aligning. Informing means placing material in a vector database while retaining an LLM behind the agent. A scientist, programmer, psychotherapist or lawyer can supply domain information that gives the ally its particular knowledge.
Instructing sets the system prompt: the ally’s character, stance and way of interacting with the world. Empowering connects accounts, including enterprise systems, Slack, Telegram and Twitter. Enacting supplies specific abilities and automation, including work toward long-term goals over extended periods. Alignment gives the ally a purpose intended to guide its behavior across contexts. These steps distinguish what the agent knows, how it behaves, what it can reach, what it can do and whom its work serves.
He extends the same approach to the organization itself. Software would embody the organization’s operation: discovering customers, sharing value and reinvesting revenue or profits. Connecting these allies and organizations in flexible combinations is his model of the agentic economy. He presents the recent legal change as enabling this organizational capability, although the passage supplies a design vision rather than an operational demonstration of those business processes.
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Resolving identity, authority and boundaries
Returning to the lethal trifecta, Levine proposes establishing identity, authority and boundaries within and between organizations through cryptographic tokens. He names JWT as the credential format. The intended resolution runs upward from an interacting agent to the registered organization behind it, giving the recipient a way to determine whose agent it is dealing with.
His analogy is the domain name system: a registry anchors the lookup, and an agent’s token resolves to a recognizable organization such as Kaiser Permanente, Disney or Pepsi. Looking up the organization ID would then lead to a blockchain audit trail extending down to a particular action. This joins an organizational identity with an activity record. Levine argues that this prevents agents from fooling one another, but he does not show how authenticated identity governs the interpretation of hostile text or blocks an unauthorized action. The described resolution and audit trail therefore support a more specific accountability claim than a demonstrated elimination of prompt injection.
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Governing through policy markets
Levine identifies two concerns for organizational governance: sustaining the organization’s viability and growth, and serving its mission. He anticipates organizations with hundreds or thousands of people, eventually millions, and proposes decision markets for making policy. Any member can propose a policy; participants trade pass and fail tokens associated with it.
The proposed incentive comes from token value. Levine says participants gain more value when they side with the winning group, and agents can watch prices move as positions change. He argues that reward-oriented agents will make better decisions when their arguments are connected to these stakes. Members would equip agents with their purposes, values, experiences and aspirations, then let them debate. However, he supplies neither a settlement rule nor comparative results: the account does not establish how winning is determined, whether it measures policy success, or how market incentives balance mission against viability.
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An umbrella organization and a shared standard
Levine closes the prepared talk by inviting participants to build agents and organizations around shared purposes. He echoes the invitation that brought him into the MOO in 1993, then describes early access expected in a few weeks. The initial organization is intended for builders, with agentic templates for sales, social media and legal work. Contributors could subsequently spin out organizations for their own purposes. These are the rollout plans he announces at the talk.
In the questions that follow, he clarifies that users would not need to establish a separate organization immediately. The first organization is a broad umbrella under which an agent can register and become traceable. He describes making a JWT credential available through a website or an interaction surface such as Slack. The answer explains the intended onboarding route, although the audience question itself is not available in enough detail to establish its precise concern.
Adoption remains a collective problem. Levine compares the hoped-for agreement on agent credentials to agreement on SMTP and HTTP across previously different systems. His preference is for a Secretary of State’s public office to anchor the registry because it already has legal standing. He sees that as a more practical starting point than persuading many companies to establish a registry together. The proposal consequently combines open participation with a public authority at the root of organizational identity; common acceptance of that arrangement remains an ambition.
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Credentials with specific permissions and lifetimes
The final answer adds an important operational detail: tokens can serve different purposes, have different times to live and specify access to different resources. Levine describes a series of claims that includes a blockchain address and the information needed for lookup and validation before agents begin working together. This makes the credential more than an organizational name—it is intended to communicate a bounded grant of access. He does not provide the claim schema or the rules that enforce those grants.
With time exhausted, Levine offers to continue the discussion outside, thanks the audience and returns to taking a photograph of the people present. The recording ends with that informal celebration and closing music.
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Read the complete timestamped transcript
- 0:01
[music]
- 0:12
>> Okay, well, this is the very last
- 0:14
session of the entire conference. I hope
- 0:16
you guys have had a great time and we're
- 0:19
going to try and keep the energy high
- 0:21
for the very end. So, we're going to
- 0:23
cover
- 0:24
the lethal trifecta
- 0:26
and most importantly how to get past it.
- 0:29
So, for those of you who don't know, the
- 0:31
lethal trifecta is what is keeping us
- 0:34
from having true agentic commerce, a
- 0:37
full economy on the open internet.
- 0:42
So, the agentic economy starts right
- 0:45
here, right now.
- 0:47
And to really explain this, I want to go
- 0:49
way back in time to November 1993 when I
- 0:52
was at the wedding of a college
- 0:54
roommate.
- 0:55
And a friend of mine there gave me this
- 0:57
little piece of paper and said, "You've
- 0:58
got to join us on the MOO."
- 1:00
And that paper said
- 1:01
lambda.park.xerox.com port 8888.
- 1:07
And this being the '90s, I walked down
- 1:09
the block once I got home to Egghead
- 1:11
Software, bought a 9600 baud modem,
- 1:14
plugged it in, and
- 1:17
my old life ended. Um
- 1:20
uh that's a beautiful blonde girl in my
- 1:23
bed and I was sitting there on the MOO
- 1:26
uh in the
- 1:27
coat closet. And the reason was
- 1:31
you had a real sense of community. It
- 1:35
was like the true virtual world where
- 1:40
it was just text, but it didn't feel
- 1:42
like text. And there was a reason for
- 1:44
that, this concept of composability. So,
- 1:48
someone would come up with a cool It was
- 1:49
all just nouns and verbs. Someone would
- 1:52
come up with a really cool program
- 1:55
and everybody would then change their
- 1:59
player class to that program so they
- 2:01
could morph, they could create a
- 2:04
motorcycle out of a scooter, they could
- 2:06
do all kinds of things because it had
- 2:09
coherence within the entire universe.
- 2:14
And all of this was running on this guy
- 2:16
Pavel Curtis' Spark 10
- 2:20
sitting somewhere in Xerox Park. It
- 2:22
seemed like this infinite world, but it
- 2:23
was just this little box.
- 2:26
And this was big enough that there were
- 2:29
books written about it like my friend
- 2:31
Julian Dibell wrote My Tiny Life.
- 2:33
The magic came from four things all
- 2:36
composing together. The governance, how
- 2:39
it was run, there was an architectural
- 2:41
review board, wizards, etc. The
- 2:43
technology was all right there. The
- 2:47
economics, it was all funded by Xerox
- 2:49
Park, and the culture was most
- 2:52
important. A lot of people don't really
- 2:55
think about or understand culture.
- 2:57
So what happened between 1995
- 3:00
and 2025? Over the course of 30 years,
- 3:03
all of these communities, all the things
- 3:06
that in the early days of the internet
- 3:08
people really loved just got crushed by
- 3:11
platforms. They got crushed by
- 3:13
algorithms.
- 3:15
Because platforms and algorithms are by
- 3:19
their very nature extractive. They look
- 3:22
for whatever value they can remove from
- 3:25
whatever that community is. So if you
- 3:26
have a group on Facebook or LinkedIn or
- 3:29
wherever, what they're doing is saying,
- 3:31
"Okay,
- 3:32
this advertising message is more
- 3:34
important or I can keep this person more
- 3:36
engaged if I put in this dancing person
- 3:40
and it just leads to the infinite scroll
- 3:44
and not real connection. So there is no
- 3:49
real economy of the internet anymore.
- 3:51
It's just a bunch of siloed platforms.
- 3:54
Now, people suddenly thought, "Okay, I
- 3:57
really have something." In January 2026,
- 4:00
Open Cloud, which had been available for
- 4:02
quite a few months, suddenly blew up.
- 4:05
And
- 4:08
something weird happened because the
- 4:10
internet wasn't really designed for all
- 4:12
these agents running around. It was
- 4:14
still designed for these closed
- 4:16
platforms.
- 4:18
So, other agents and miners took
- 4:20
advantage of that.
- 4:22
They did what we call prompt injections.
- 4:26
An agent is incredibly naive. It takes
- 4:30
It doesn't do much except take
- 4:32
information in as a prompt. Now,
- 4:34
normally that information is several
- 4:36
pieces. There's a system prompt, there's
- 4:39
context, there's words, but it's very
- 4:42
easy to hijack by putting
- 4:45
convincing this
- 4:47
naive agent that your its principal and
- 4:51
convincing it to take that private data
- 4:54
and send it someplace else.
- 4:57
So, this is what we call, well, Simon
- 5:00
William Willison came up with this term,
- 5:03
the lethal trifecta. So, you have your
- 5:05
computer
- 5:07
with
- 5:09
your private data, your bank account
- 5:10
information, your logins, um
- 5:13
all kinds of spreadsheets, documents,
- 5:17
memos, your notepad, and
- 5:20
your agents have access to that. And
- 5:23
then there's all this content out there
- 5:25
on the internet,
- 5:27
which is basically untrusted. I mean,
- 5:28
you you you see all these websites it's
- 5:31
searching, but it's very hard for an
- 5:33
agent to know that that's a real job
- 5:36
board versus someone has put something
- 5:38
up to fool it. They really don't know.
- 5:41
And then they can take actions. So, they
- 5:44
fill out a form, an email comes in, that
- 5:47
email they read and all of a sudden it
- 5:50
tells them to expose some secret. So,
- 5:53
there's really no way to solve this.
- 5:56
Except, so what did enterprises do? They
- 5:59
basically said, "Okay, we're keeping
- 6:02
our agents within the enterprise. So,
- 6:05
you have your your agents in Slack and
- 6:07
your agents in Salesforce and your
- 6:08
agents in Notion and your agents in all
- 6:11
these different things. Then you have to
- 6:12
do all this work with APIs and MCP
- 6:15
servers to try and integrate all of
- 6:18
these pieces,
- 6:20
but you lose a ton of context. You don't
- 6:24
there's no
- 6:26
you basically have your sales agents and
- 6:28
you have your finance agents and you
- 6:30
have your research agents, but it just
- 6:33
takes a huge amount of work to figure
- 6:35
out how do we get this all together.
- 6:39
This was a problem literally until
- 6:42
today.
- 6:44
And this is
- 6:45
the miracles of synchronicity, but
- 6:48
there's a new law
- 6:50
in the state of West Virginia, but
- 6:52
applicable globally,
- 6:54
that went into effect yesterday.
- 6:57
And about 2 hours before
- 7:01
uh
- 7:02
I'm here, I got I FedExed the documents
- 7:06
and I got this reply from the Secretary
- 7:08
of State saying, "We have registered
- 7:11
your DUNA
- 7:13
with the Secretary of State's office and
- 7:15
you have this organization number
- 7:17
628407.
- 7:20
So, now we have legal standing for an
- 7:25
organization composed of intelligent
- 7:28
agents. And again, there aren't very
- 7:31
many people here. The end of the thing
- 7:32
I'm going to take a picture because this
- 7:34
is historic and it's um it's going to be
- 7:36
cool that we said 2, 4, 6, 8, 10, 12, 14, 16, 18
- 7:41
20 21 people
- 7:44
um got to experience this moment. So,
- 7:47
what is a Duna?
- 7:49
It's a true internet native agentic
- 7:53
organization. It stands for
- 7:54
decentralized
- 7:56
unincorporated
- 7:58
nonprofit association.
- 8:01
And these organizations can build the
- 8:04
agentic economy.
- 8:06
They're composable
- 8:08
which means well, we know what that
- 8:11
means. You can build agents on top of
- 8:13
other agents. Permissionless.
- 8:15
It's not like Facebook or your bank
- 8:18
where someone can tell you if you're
- 8:19
banned or not banned. You can have an
- 8:21
account or not banned. Anybody can
- 8:22
connect.
- 8:24
They're accountable. They're registered
- 8:26
somewhere. They're safe and they're
- 8:28
secure. So, the things that they're not,
- 8:30
you don't need a board of directors, you
- 8:31
don't need any executives.
- 8:34
There's no corporate shell.
- 8:36
One thing that's important you can be
- 8:38
very profitable, but you can't
- 8:40
distribute profits to members. If you
- 8:43
did that, then the membership units
- 8:47
would be securities. It would be like
- 8:48
selling membership units in an LLC or
- 8:52
selling membership units in a C corp or
- 8:56
selling stock in a C corp. So, there are
- 8:59
plenty of still ways to distribute there
- 9:01
that value. You can't do it based on
- 9:03
ownership. So, what is it? That's what
- 9:06
it's not. It's member governed.
- 9:08
You have full legal standing. You can
- 9:11
own assets and property. So, your agents
- 9:14
can go out and literally
- 9:16
buy an apartment building and market it.
- 9:19
You know, you can design agents in ways
- 9:21
you were never able to do before. Can
- 9:23
enter into agreements. You can raise
- 9:25
capital.
- 9:27
You can earn profits. You can open bank
- 9:29
accounts, hire people, fire them. And
- 9:32
very importantly, this is all blockchain
- 9:34
verified.
- 9:36
Now, this was designed by Andreessen
- 9:38
Horowitz for the blockchain.
- 9:41
And what was really interesting for
- 9:43
DAOs, for crypto projects, but what I
- 9:47
found was that this is even better for
- 9:50
autonomous agents than it is for
- 9:52
blockchains. A lot of people say
- 9:54
blockchains are a solution looking for a
- 9:57
problem. Well, they've finally found the
- 10:00
problem, which is verifying agentic
- 10:02
identity. Because you can't trick the
- 10:04
blockchain. They you know,
- 10:06
when an agent is associated with a
- 10:09
particular account on the blockchain,
- 10:12
you can resolve that account to a whole
- 10:15
process that went from here to here, the
- 10:18
money went from here to here. If someone
- 10:20
sues an agent in court, you can trace it
- 10:23
back to who is responsible for that
- 10:26
agent. So, it just opens up a whole
- 10:28
world of possibility in terms of the
- 10:32
agentic economy.
- 10:34
So, here it is in a really simple way.
- 10:36
We call agents within the agentic
- 10:40
economy allies. So, you have an ally.
- 10:44
And you also have an agentic
- 10:46
organization, which we call a kiduna.
- 10:49
So, it's based on a
- 10:51
duna, and then we added the kinship
- 10:54
because these are all related. So, it's
- 10:56
a kiduna.
- 10:58
Now, your you create your ally
- 11:03
very simply. You inform it, which means
- 11:06
you put a bunch of material into the
- 11:08
vector database. You infuse it with
- 11:10
wisdom. So, it it knows all about what
- 11:13
you want it to know about. Now, it still
- 11:15
has
- 11:16
you know, whatever LLM you want behind
- 11:18
it, but what's really important about
- 11:20
this is the the information that you
- 11:22
give it if you're a scientist or a
- 11:24
programmer or a psychotherapist or a
- 11:27
lawyer,
- 11:28
you can give it all all information that
- 11:30
you have. Then you instruct it. That's
- 11:32
basically setting up the system prompt,
- 11:34
giving it its character, its stance,
- 11:36
knowing who he is, who it is, she is,
- 11:40
how they
- 11:42
interact with the world. Then you
- 11:44
empower it. You connect up all your
- 11:45
accounts, your enterprise accounts, your
- 11:48
uh Slack, your Telegram, your Twitter.
- 11:52
Um then you set up in enact is giving it
- 11:57
specific abilities and automation. So,
- 11:59
you can do very deep agents, long-term
- 12:02
goals that it works for extended periods
- 12:05
of time. And finally, alignment. Really
- 12:08
giving it a purpose
- 12:10
so that
- 12:11
your ally in different contexts works
- 12:15
for you in the way that you want it to.
- 12:19
Then your organizations get really cool
- 12:22
cuz you're building software, but you're
- 12:24
building your company, your organization
- 12:27
literally as software. It's not
- 12:31
Okay, I have software and then I have
- 12:32
all these people and all the people have
- 12:35
to sign paperwork. This is really
- 12:36
designing the entire organization as
- 12:39
software. So, it can discover new
- 12:41
customers, share value. When you have
- 12:43
profits, when you have revenue, you can
- 12:45
reinvest it. It just all works in a
- 12:48
completely new way.
- 12:50
So, then the agentic economy is just
- 12:52
connecting all these allies and
- 12:54
organizations in all these new
- 12:57
completely flexible ways. And
- 13:01
this
- 13:02
this whole capability did not exist
- 13:04
until yesterday. And today we have the
- 13:07
first actual uh
- 13:10
agentic uh organizations.
- 13:13
So, resolving the lethal trifecta. What
- 13:16
happens? The
- 13:18
The lethal trifecta was private data
- 13:22
going meeting untrusted content and then
- 13:25
taking actions on that content, which
- 13:28
can then reveal your private data and
- 13:30
cause all kinds of chaos.
- 13:32
So, here
- 13:34
these
- 13:35
agents at a deep level establish
- 13:38
identity, authority, and boundaries
- 13:41
within an organization, between
- 13:43
organizations. How do we do that? With
- 13:46
cryptographic tokens. So, we just use
- 13:49
JWT, extremely simple, the whole web
- 13:52
runs on JWT tokens. And they just do
- 13:56
that very quickly so that they know
- 13:59
who where it all goes up. So, ultimately
- 14:02
at the top level, what organization is
- 14:05
registered? And this becomes a lot like
- 14:08
the domain name system. So, all of a
- 14:10
sudden, the Secretary of State of West
- 14:13
Virginia is like, I can
- 14:16
and saying, okay, you can resolve it to
- 14:21
uh Kaiser Permanente or Disney or Pepsi.
- 14:25
You know, not some fentanyl dealer from
- 14:27
North Korea. However, you know, they
- 14:30
can't fool each other because they're
- 14:32
resolving these tokens that are
- 14:33
ultimately registered with an authority.
- 14:37
And you can you can look up by name and
- 14:40
say, okay, organization ID. Well, if I
- 14:42
go to that organization, it's got it'll
- 14:44
have an audit trail on the blockchain
- 14:47
all the way down to this action that was
- 14:49
taken here.
- 14:52
So, governance in the agentic economy is
- 14:54
extremely important.
- 14:57
Because every organization really is
- 15:00
always focused on two different things,
- 15:02
and both of those things are extremely
- 15:04
important. One of that of those things
- 15:08
is sustainability, growth,
- 15:11
its own viability as an organization,
- 15:14
but it the other is what's its mission?
- 15:17
And these organizations might have
- 15:20
hundreds, thousands of people,
- 15:22
eventually millions of people. And so,
- 15:25
we use a technology called decision
- 15:27
markets, which is very much like
- 15:29
prediction markets, like polymarket.
- 15:33
Yet, instead so they trade pass and fail
- 15:35
tokens on policies. Any member can
- 15:38
propose a policy.
- 15:40
What's really interesting is, instead of
- 15:43
saying, um
- 15:45
"Well, I'm persuaded. I'm going to vote
- 15:47
for this." It's not votes. They actually
- 15:50
trade pass and fail tokens. So, LLMs are
- 15:54
always goal-oriented. They want rewards.
- 15:57
They want to win. And you actually get
- 15:59
better decisions if they're not just
- 16:02
convincing each other, but ultimately
- 16:05
they're they're
- 16:07
you get more value. Your tokens are
- 16:09
worth more if you side with the winning
- 16:12
group. So, they sort of see them going
- 16:14
back and forth and what the value of the
- 16:16
tokens are.
- 16:17
So, it's and apparently, all this
- 16:20
science says you reach much better
- 16:21
decisions this way. By infusing the
- 16:24
agents with your purpose, with your
- 16:27
values, with your experiences, with your
- 16:29
aspirations, and then let them argue
- 16:31
instead of, you know, someone convincing
- 16:33
you of something.
- 16:35
So, we're right now
- 16:38
in this wonderful
- 16:40
back small communities who are getting
- 16:43
together for purposes, and we can now
- 16:46
build this agentic economy together.
- 16:48
Nobody can say how to do it. It's really
- 16:51
up to us. Build your agents, build your
- 16:53
organizations.
- 16:56
So, now, just like my friend Matthew
- 17:00
Pahr gave me this little scrap of paper
- 17:03
uh way back in November 1993 at my
- 17:07
roommate Van's wedding, I'm saying,
- 17:09
"Here's your invitation to join us." And
- 17:13
um
- 17:14
you know, let's let's blow this whole
- 17:16
thing up. Let's uh really make it work.
- 17:19
So, it's [REDACTED:email_address].
- 17:22
You can reach me.
- 17:24
LinkedIn, um it's {slash} motodave.
- 17:29
Um I probably haven't updated my
- 17:30
LinkedIn in 5 or 6 years. But, um
- 17:33
if you go to kaduna.club, you can sign
- 17:35
up for early access. And in just a few
- 17:38
weeks, you'll be the very very first
- 17:40
people
- 17:41
who will be building this first um
- 17:45
uh this first Kaduna, as it's called, is
- 17:49
for builders. It's very specifically for
- 17:51
builders. We have templates, all kinds
- 17:53
of different agentic templates um to
- 17:56
say, you know, I'm going to build my
- 17:58
sales agents, I'm going to build my
- 18:00
uh social media agents, I'm going to
- 18:02
build my lawyer agents. And we really
- 18:05
want a whole bunch of different people
- 18:06
in there contributing to this cuz then
- 18:08
you can spin out your own organization
- 18:10
for all kinds of purposes.
- 18:12
Um I purposefully went through this
- 18:14
fairly quickly so that I could take a
- 18:16
couple questions if anyone
- 18:18
if anyone has them.
- 18:21
Yes.
- 18:28
Can you just stand up and yell a little
- 18:29
loud?
- 18:46
Okay, I'm going to One more time.
- 18:50
Mhm.
- 18:53
Yes. So, the idea is the reason we I set
- 18:56
up this first very broad um
- 18:59
uh organization is because anybody can
- 19:02
just register it. You can just say, my
- 19:04
agent is part of an organization, and
- 19:07
it'll trace to it. So, you don't have to
- 19:09
set up your own organization. The first
- 19:11
one is just a big umbrella organization.
- 19:13
So, that kind of So, it's the idea of
- 19:16
now in the open internet, anybody can
- 19:18
just get a code. So, these are just JWT
- 19:22
tokens. I can put it on my website. I
- 19:24
can put it here. I can say if you want
- 19:26
to interact with my agent on Slack or
- 19:28
wherever,
- 19:30
people will just at at a certain point
- 19:32
we're going to have to get the message
- 19:33
out, but it's sort of like email at the
- 19:35
beginning. You know, people had to know
- 19:37
that SMTP, like people were on all kinds
- 19:40
of different mail systems. At some point
- 19:42
they agreed, "Okay, we're going to use
- 19:44
SMTP." Everyone was, you know, using
- 19:47
different FTP servers and some people
- 19:49
were using different ways to do file and
- 19:51
everyone sort of agreed at some point on
- 19:53
HTTP. So, my hope is that I mean,
- 19:58
someone's got to do it and it makes more
- 20:00
sense for
- 20:02
a state, a secretary of state, which has
- 20:06
standing in a public office to be that
- 20:09
registry rather than trying to get all
- 20:12
these different companies together and
- 20:13
say, "Here's how to do it."
- 20:25
Yes, it each um
- 20:29
we're just at the end of this, so let's
- 20:31
talk out out front, but basically the
- 20:33
idea is you can create all kinds of
- 20:35
different tokens for different purposes
- 20:37
and you can set different times to live.
- 20:40
You can say what it has access to. You
- 20:43
can give it access to different things.
- 20:45
The idea is just it's more the standard
- 20:48
and you set a series of claims and it
- 20:50
says it gives a blockchain address. It
- 20:53
gives all the information you need so it
- 20:56
can look up and validate before you say,
- 20:59
"Okay, now we're starting to work
- 21:01
together."
- 21:03
Okay?
- 21:04
So, thanks so much and uh if anyone
- 21:06
appreciate it. I guess I'll let me do
- 21:08
this uh picture.
- 21:10
Um
- 21:12
uh so we can
- 21:14
see all the people.
- 21:17
All right.
- 21:20
You're all going to be famous someday.
- 21:21
Thanks.
- 21:35
>> [music]