Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club

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Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet

David Levine connects the composable world of LambdaMOO to Kiduna Club’s proposed agentic economy: agents with organizational identity, scoped authority, traceable actions, and member governance. The central question is how those pieces could let agents work across the open internet without surrendering private data or accountability.

From a talk by David Levine

At a glance

Ideas worth remembering

  • Composability needs a shared social arrangement as well as reusable programs. LambdaMOO joined technology, governance, funding, and culture; Kiduna tries to assemble those dimensions around agents.

  • The lethal trifecta creates a path from untrusted text to private-data disclosure when an agent accepts that text as authorized direction and can act on it.

  • Kiduna proposes JWT claims that resolve to registered organizations, with blockchain records connecting actions to responsibility. Preventing prompt injection also requires enforcing authority and access limits before execution.

  • The closing questions clarify the participation model: individuals can start under an umbrella organization, while different tokens define purposes, access, and lifetimes.

A world made from shared programs

In November 1993, a friend at a wedding handed David Levine a scrap of paper with a hostname and port number. It was an invitation to LambdaMOO. Levine bought a 9600-baud modem, connected, and found a text environment that felt like a community rather than a screen full of text. That experience supplies the starting point for his Kiduna Club proposal: what would it take to build a shared world again, this time with agents capable of doing economic work?

LambdaMOO’s useful property was composability. Its world consisted of nouns and verbs, and a program created by one participant could become something other participants used. Levine’s example is a new player class: people could change their class to adopt the program’s behavior, morph, or turn a scooter into a motorcycle. The visible change came from reusing behavior inside a coherent shared environment. A contribution could alter what other people were able to do.

The apparently expansive world ran on Pavel Curtis’s SPARC 10 at Xerox PARC. Its scale in people’s lives exceeded the scale of the machine; Julian Dibbell’s My Tiny Life was one expression of that significance. But the machine and its programs were only part of the arrangement. Governance included an architectural review board and wizards, Xerox PARC supplied funding, and the culture made participation meaningful. Technology, governance, economics, and culture worked together. That combination becomes the recurring design requirement for the rest of the talk.

0:120:42
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0:12 · section reference included

From community to platform enclosures

Levine reads the thirty years from 1995 to 2025 as a loss of that coherence. In his account, platforms redirect community activity toward advertising and engagement: an advertisement takes priority over a group’s conversation, or a distracting item wins placement because it keeps someone scrolling. His objection concerns who sets the objective. The community creates relationships and value, while the platform chooses which activity to amplify.

Agents introduce a new possibility for connecting work across those enclosures, but they also encounter an internet full of material that can try to redirect them. The transition into prompt injection follows directly from the platform problem: connecting more systems is useful only if an agent can preserve whose purposes it serves while reading content supplied by someone else.

2:433:13
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How the trifecta turns reading into disclosure

The lethal trifecta, a term Levine credits to Simon Willison, combines three capabilities. Each is useful for an assistant; together they create a path from hostile text to consequential action.

  • Private data: The agent can reach bank information, logins, spreadsheets, documents, memos, or notes.
  • Untrusted content: It reads websites and messages whose authors may be trying to fool it. A page resembling a job board does not establish that its instructions are legitimate.
  • Ability to act: It can fill out forms or send information elsewhere, turning a mistaken interpretation into an external effect.

Follow the form-and-email example. An agent fills out a form, an email arrives, and the agent reads it as part of the task. The email then tells it to expose a secret. The critical change occurs when the agent treats the message’s author as its principal—the party entitled to direct its work. Text received as task material becomes an instruction, access to private information supplies the secret, and an action sends it away. This is an illustrative attack sequence in the talk, rather than a demonstrated incident.

Where does the disclosure become possible? The flow below separates the incoming message from the two capabilities it recruits. Reading hostile text alone is different from allowing that text to direct access and transmission.

The enterprise response Levine describes is to keep agents within familiar systems: Slack, Salesforce, Notion, and other internal tools. Sales, finance, and research agents then need APIs and MCP servers to connect their work. The tradeoff is integration effort and lost context. Containment reduces exposure to the open internet, while making the shared environment that LambdaMOO provided much harder to assemble.

How it fits togetherFrom an incoming email to private-data disclosure

Arrives after the agent fills out a form; contains a request to expose a secret.

The attack works when received content is accepted as direction from the principal. Private-data access and an outbound action then complete the path.

4:084:38
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Building an ally—and an organization—as software

Kiduna calls its agents allies. A Kiduna is the agentic organization around them, combining DUNA with kinship to emphasize their relationships. Creating an ally has several distinct parts; choosing the underlying LLM is only one of the decisions.

  • Inform: Put relevant material into a vector database. A scientist, programmer, psychotherapist, or lawyer supplies the knowledge the ally should draw on.
  • Instruct: Set the system prompt to define character, stance, and how the ally interacts with the world.
  • Empower: Connect accounts and external systems, such as enterprise tools, Slack, Telegram, or Twitter.
  • Enact: Give the ally particular abilities and automations, including work toward goals over extended periods.
  • Align: Give it a purpose that should guide its behavior across different contexts.

These parts separate knowledge, instructions, access, execution, and purpose. Connecting an account supplies reach; abilities and automation specify work it can perform; purpose supplies the intended direction. Levine then extends the same idea to the organization. Customer discovery, value sharing, revenue, and reinvestment become processes designed in software. Connecting allies and organizations would let those processes compose across groups, much as shared programs composed inside LambdaMOO.

10:3811:08
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Tokens connect actions to registered organizations

The proposed answer to the trifecta is to establish identity, authority, and limits within and between organizations. Levine uses JWT cryptographic tokens as the carrier. An interaction should resolve upward to a registered organization, while a blockchain audit trail connects the organization downward to particular actions. His analogy is DNS: a name resolves through a recognized registry rather than relying on how convincingly someone presents themselves.

What must be connected before two agents work together? The diagram shows the two directions of the proposal: claims lead toward organizational identity, and records lead toward an action’s history. The closing questions add the practical detail that tokens can carry access claims, a blockchain address, and different lifetimes.

Return to the malicious email. Its assertion that it speaks for the principal would have to be evaluated against identity and permitted access before collaboration or action. That is the intended change from obeying persuasive text. However, verified identity and traceable activity do not by themselves establish that an agent will reject malicious instructions: the proposal’s security depends on checks that enforce the claimed authority and access limits before execution. The talk describes token resolution and validation, without demonstrating that the full attack sequence is prevented.

How it fits togetherIdentity upward, action history downward

Different tokens can serve different purposes.

Kiduna’s proposed interaction connects token claims to a registered organization and uses blockchain records to trace particular actions. Validation precedes working together.

13:0713:38
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Decision markets for member governance

An organization has to remain viable while serving its mission. Levine identifies sustainability and growth alongside purpose as the two concerns governance must reconcile, especially if membership grows from hundreds or thousands toward millions. His proposed mechanism is decision markets, resembling prediction markets but organized around policies.

Any member can propose a policy. Participants trade pass and fail tokens instead of simply casting votes. Positions and token values change as the discussion develops, and Levine describes a reward for siding with the winning group. The intended incentive is to make agents put value behind their positions rather than only generate persuasive arguments. People supply purpose, values, experience, and aspirations; agents then deliberate with those inputs.

The important distinction is between rewarding a winning position and establishing that the resulting policy serves the mission. Levine claims decision markets produce better decisions, but the talk supplies neither a comparative study nor the settlement and ratification rules that would explain how that claim holds here. The mechanism described is an incentive proposal for collective deliberation, with decision quality still dependent on how the market and governance rules are designed.

14:5215:22
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An umbrella first, then a standard others can adopt

The invitation returns to the scrap of paper from 1993. Levine describes the first Kiduna as a community for builders, with templates for sales, social-media, and lawyer agents. Participants would contribute capabilities and eventually spin out organizations for other purposes. Early access is presented as forthcoming within a few weeks of the recording, so the invitation concerns a developing ecosystem rather than an established universal protocol.

An audience question exposes the onboarding issue: how does an individual participate without creating a legal organization? The first organization is intended to be a broad umbrella. A person could register their agent as part of it, giving the agent an organizational identity to trace back to. Membership in this shared organization is the proposed starting route; forming a separate organization is optional.

The token could be presented through a website or an agent interaction in Slack. Adoption still requires other participants to recognize the arrangement. Levine compares that coordination problem with agreement on SMTP for email and HTTP for the web: a useful convention has to become shared. He prefers a public office with legal standing as the organizational registry, rather than requiring different companies to agree on a private registry operator. This is his proposed institutional choice, not a claim that the standard has already been adopted.

The final answer makes the token proposal more concrete. One organization need not imply one undifferentiated credential. Different tokens can serve different purposes, expire at different times, and grant access to different things. Their claims include a blockchain address and information another participant can look up and validate before beginning work. That ending supplies the practical direction for the whole proposal: open connection paired with limited, inspectable permission.

16:5117:20
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Resources

  • Levine’s subsequent architecture paper expands the talk’s ideas into explicit mandates, permission checks, privacy across handoffs, and member governance. It distinguishes intelligence that proposes an action from authority that permits execution.

Read the complete timestamped transcript
  1. 0:01

    [music]

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    >> Okay, well, this is the very last

  3. 0:14

    session of the entire conference. I hope

  4. 0:16

    you guys have had a great time and we're

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    going to try and keep the energy high

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    for the very end. So, we're going to

  7. 0:23

    cover

  8. 0:24

    the lethal trifecta

  9. 0:26

    and most importantly how to get past it.

  10. 0:29

    So, for those of you who don't know, the

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    lethal trifecta is what is keeping us

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    from having true agentic commerce, a

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    full economy on the open internet.

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    So, the agentic economy starts right

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    here, right now.

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    And to really explain this, I want to go

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    way back in time to November 1993 when I

  18. 0:52

    was at the wedding of a college

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    roommate.

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    And a friend of mine there gave me this

  21. 0:57

    little piece of paper and said, "You've

  22. 0:58

    got to join us on the MOO."

  23. 1:00

    And that paper said

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    lambda.park.xerox.com port 8888.

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    And this being the '90s, I walked down

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    the block once I got home to Egghead

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    Software, bought a 9600 baud modem,

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    plugged it in, and

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    my old life ended. Um

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    uh that's a beautiful blonde girl in my

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    bed and I was sitting there on the MOO

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    uh in the

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    coat closet. And the reason was

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    you had a real sense of community. It

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    was like the true virtual world where

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    it was just text, but it didn't feel

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    like text. And there was a reason for

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    that, this concept of composability. So,

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    someone would come up with a cool It was

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    all just nouns and verbs. Someone would

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    come up with a really cool program

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    and everybody would then change their

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    player class to that program so they

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    could morph, they could create a

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    motorcycle out of a scooter, they could

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    do all kinds of things because it had

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    coherence within the entire universe.

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    And all of this was running on this guy

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    Pavel Curtis' Spark 10

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    sitting somewhere in Xerox Park. It

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    seemed like this infinite world, but it

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    was just this little box.

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    And this was big enough that there were

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    books written about it like my friend

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    Julian Dibell wrote My Tiny Life.

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    The magic came from four things all

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    composing together. The governance, how

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    it was run, there was an architectural

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    review board, wizards, etc. The

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    technology was all right there. The

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    economics, it was all funded by Xerox

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    Park, and the culture was most

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    important. A lot of people don't really

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    think about or understand culture.

  65. 2:57

    So what happened between 1995

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    and 2025? Over the course of 30 years,

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    all of these communities, all the things

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    that in the early days of the internet

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    people really loved just got crushed by

  70. 3:11

    platforms. They got crushed by

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    algorithms.

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    Because platforms and algorithms are by

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    their very nature extractive. They look

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    for whatever value they can remove from

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    whatever that community is. So if you

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    have a group on Facebook or LinkedIn or

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    wherever, what they're doing is saying,

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    "Okay,

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    this advertising message is more

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    important or I can keep this person more

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    engaged if I put in this dancing person

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    and it just leads to the infinite scroll

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    and not real connection. So there is no

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    real economy of the internet anymore.

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    It's just a bunch of siloed platforms.

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    Now, people suddenly thought, "Okay, I

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    really have something." In January 2026,

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    Open Cloud, which had been available for

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    quite a few months, suddenly blew up.

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    And

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    something weird happened because the

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    internet wasn't really designed for all

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    these agents running around. It was

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    still designed for these closed

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    platforms.

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    So, other agents and miners took

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    advantage of that.

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    They did what we call prompt injections.

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    An agent is incredibly naive. It takes

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    It doesn't do much except take

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    information in as a prompt. Now,

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    normally that information is several

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    pieces. There's a system prompt, there's

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    context, there's words, but it's very

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    easy to hijack by putting

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    convincing this

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    naive agent that your its principal and

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    convincing it to take that private data

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    and send it someplace else.

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    So, this is what we call, well, Simon

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    William Willison came up with this term,

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    the lethal trifecta. So, you have your

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    computer

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    with

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    your private data, your bank account

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    information, your logins, um

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    all kinds of spreadsheets, documents,

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    memos, your notepad, and

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    your agents have access to that. And

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    then there's all this content out there

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    on the internet,

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    which is basically untrusted. I mean,

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    you you you see all these websites it's

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    searching, but it's very hard for an

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    agent to know that that's a real job

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    board versus someone has put something

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    up to fool it. They really don't know.

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    And then they can take actions. So, they

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    fill out a form, an email comes in, that

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    email they read and all of a sudden it

  131. 5:50

    tells them to expose some secret. So,

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    there's really no way to solve this.

  133. 5:56

    Except, so what did enterprises do? They

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    basically said, "Okay, we're keeping

  135. 6:02

    our agents within the enterprise. So,

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    you have your your agents in Slack and

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    your agents in Salesforce and your

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    agents in Notion and your agents in all

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    these different things. Then you have to

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    do all this work with APIs and MCP

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    servers to try and integrate all of

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    these pieces,

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    but you lose a ton of context. You don't

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    there's no

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    you basically have your sales agents and

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    you have your finance agents and you

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    have your research agents, but it just

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    takes a huge amount of work to figure

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    out how do we get this all together.

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    This was a problem literally until

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    today.

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    And this is

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    the miracles of synchronicity, but

  154. 6:48

    there's a new law

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    in the state of West Virginia, but

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    applicable globally,

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    that went into effect yesterday.

  158. 6:57

    And about 2 hours before

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    uh

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    I'm here, I got I FedExed the documents

  161. 7:06

    and I got this reply from the Secretary

  162. 7:08

    of State saying, "We have registered

  163. 7:11

    your DUNA

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    with the Secretary of State's office and

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    you have this organization number

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    628407.

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    So, now we have legal standing for an

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    organization composed of intelligent

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    agents. And again, there aren't very

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    many people here. The end of the thing

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    I'm going to take a picture because this

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    is historic and it's um it's going to be

  173. 7:36

    cool that we said 2, 4, 6, 8, 10, 12, 14, 16, 18

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    20 21 people

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    um got to experience this moment. So,

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    what is a Duna?

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    It's a true internet native agentic

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    organization. It stands for

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    decentralized

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    unincorporated

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    nonprofit association.

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    And these organizations can build the

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    agentic economy.

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    They're composable

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    which means well, we know what that

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    means. You can build agents on top of

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    other agents. Permissionless.

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    It's not like Facebook or your bank

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    where someone can tell you if you're

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    banned or not banned. You can have an

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    account or not banned. Anybody can

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    connect.

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    They're accountable. They're registered

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    somewhere. They're safe and they're

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    secure. So, the things that they're not,

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    you don't need a board of directors, you

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    don't need any executives.

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    There's no corporate shell.

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    One thing that's important you can be

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    very profitable, but you can't

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    distribute profits to members. If you

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    did that, then the membership units

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    would be securities. It would be like

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    selling membership units in an LLC or

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    selling membership units in a C corp or

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    selling stock in a C corp. So, there are

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    plenty of still ways to distribute there

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    that value. You can't do it based on

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    ownership. So, what is it? That's what

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    it's not. It's member governed.

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    You have full legal standing. You can

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    own assets and property. So, your agents

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    can go out and literally

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    buy an apartment building and market it.

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    You know, you can design agents in ways

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    you were never able to do before. Can

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    enter into agreements. You can raise

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    capital.

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    You can earn profits. You can open bank

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    accounts, hire people, fire them. And

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    very importantly, this is all blockchain

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    verified.

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    Now, this was designed by Andreessen

  224. 9:38

    Horowitz for the blockchain.

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    And what was really interesting for

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    DAOs, for crypto projects, but what I

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    found was that this is even better for

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    autonomous agents than it is for

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    blockchains. A lot of people say

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    blockchains are a solution looking for a

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    problem. Well, they've finally found the

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    problem, which is verifying agentic

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    identity. Because you can't trick the

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    blockchain. They you know,

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    when an agent is associated with a

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    particular account on the blockchain,

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    you can resolve that account to a whole

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    process that went from here to here, the

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    money went from here to here. If someone

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    sues an agent in court, you can trace it

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    back to who is responsible for that

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    agent. So, it just opens up a whole

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    world of possibility in terms of the

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    agentic economy.

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    So, here it is in a really simple way.

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    We call agents within the agentic

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    economy allies. So, you have an ally.

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    And you also have an agentic

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    organization, which we call a kiduna.

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    So, it's based on a

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    duna, and then we added the kinship

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    because these are all related. So, it's

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    a kiduna.

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    Now, your you create your ally

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    very simply. You inform it, which means

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    you put a bunch of material into the

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    vector database. You infuse it with

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    wisdom. So, it it knows all about what

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    you want it to know about. Now, it still

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    has

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    you know, whatever LLM you want behind

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    it, but what's really important about

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    this is the the information that you

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    give it if you're a scientist or a

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    programmer or a psychotherapist or a

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    lawyer,

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    you can give it all all information that

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    you have. Then you instruct it. That's

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    basically setting up the system prompt,

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    giving it its character, its stance,

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    knowing who he is, who it is, she is,

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    how they

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    interact with the world. Then you

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    empower it. You connect up all your

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    accounts, your enterprise accounts, your

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    uh Slack, your Telegram, your Twitter.

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    Um then you set up in enact is giving it

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    specific abilities and automation. So,

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    you can do very deep agents, long-term

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    goals that it works for extended periods

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    of time. And finally, alignment. Really

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    giving it a purpose

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    so that

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    your ally in different contexts works

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    for you in the way that you want it to.

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    Then your organizations get really cool

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    cuz you're building software, but you're

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    building your company, your organization

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    literally as software. It's not

  290. 12:31

    Okay, I have software and then I have

  291. 12:32

    all these people and all the people have

  292. 12:35

    to sign paperwork. This is really

  293. 12:36

    designing the entire organization as

  294. 12:39

    software. So, it can discover new

  295. 12:41

    customers, share value. When you have

  296. 12:43

    profits, when you have revenue, you can

  297. 12:45

    reinvest it. It just all works in a

  298. 12:48

    completely new way.

  299. 12:50

    So, then the agentic economy is just

  300. 12:52

    connecting all these allies and

  301. 12:54

    organizations in all these new

  302. 12:57

    completely flexible ways. And

  303. 13:01

    this

  304. 13:02

    this whole capability did not exist

  305. 13:04

    until yesterday. And today we have the

  306. 13:07

    first actual uh

  307. 13:10

    agentic uh organizations.

  308. 13:13

    So, resolving the lethal trifecta. What

  309. 13:16

    happens? The

  310. 13:18

    The lethal trifecta was private data

  311. 13:22

    going meeting untrusted content and then

  312. 13:25

    taking actions on that content, which

  313. 13:28

    can then reveal your private data and

  314. 13:30

    cause all kinds of chaos.

  315. 13:32

    So, here

  316. 13:34

    these

  317. 13:35

    agents at a deep level establish

  318. 13:38

    identity, authority, and boundaries

  319. 13:41

    within an organization, between

  320. 13:43

    organizations. How do we do that? With

  321. 13:46

    cryptographic tokens. So, we just use

  322. 13:49

    JWT, extremely simple, the whole web

  323. 13:52

    runs on JWT tokens. And they just do

  324. 13:56

    that very quickly so that they know

  325. 13:59

    who where it all goes up. So, ultimately

  326. 14:02

    at the top level, what organization is

  327. 14:05

    registered? And this becomes a lot like

  328. 14:08

    the domain name system. So, all of a

  329. 14:10

    sudden, the Secretary of State of West

  330. 14:13

    Virginia is like, I can

  331. 14:16

    and saying, okay, you can resolve it to

  332. 14:21

    uh Kaiser Permanente or Disney or Pepsi.

  333. 14:25

    You know, not some fentanyl dealer from

  334. 14:27

    North Korea. However, you know, they

  335. 14:30

    can't fool each other because they're

  336. 14:32

    resolving these tokens that are

  337. 14:33

    ultimately registered with an authority.

  338. 14:37

    And you can you can look up by name and

  339. 14:40

    say, okay, organization ID. Well, if I

  340. 14:42

    go to that organization, it's got it'll

  341. 14:44

    have an audit trail on the blockchain

  342. 14:47

    all the way down to this action that was

  343. 14:49

    taken here.

  344. 14:52

    So, governance in the agentic economy is

  345. 14:54

    extremely important.

  346. 14:57

    Because every organization really is

  347. 15:00

    always focused on two different things,

  348. 15:02

    and both of those things are extremely

  349. 15:04

    important. One of that of those things

  350. 15:08

    is sustainability, growth,

  351. 15:11

    its own viability as an organization,

  352. 15:14

    but it the other is what's its mission?

  353. 15:17

    And these organizations might have

  354. 15:20

    hundreds, thousands of people,

  355. 15:22

    eventually millions of people. And so,

  356. 15:25

    we use a technology called decision

  357. 15:27

    markets, which is very much like

  358. 15:29

    prediction markets, like polymarket.

  359. 15:33

    Yet, instead so they trade pass and fail

  360. 15:35

    tokens on policies. Any member can

  361. 15:38

    propose a policy.

  362. 15:40

    What's really interesting is, instead of

  363. 15:43

    saying, um

  364. 15:45

    "Well, I'm persuaded. I'm going to vote

  365. 15:47

    for this." It's not votes. They actually

  366. 15:50

    trade pass and fail tokens. So, LLMs are

  367. 15:54

    always goal-oriented. They want rewards.

  368. 15:57

    They want to win. And you actually get

  369. 15:59

    better decisions if they're not just

  370. 16:02

    convincing each other, but ultimately

  371. 16:05

    they're they're

  372. 16:07

    you get more value. Your tokens are

  373. 16:09

    worth more if you side with the winning

  374. 16:12

    group. So, they sort of see them going

  375. 16:14

    back and forth and what the value of the

  376. 16:16

    tokens are.

  377. 16:17

    So, it's and apparently, all this

  378. 16:20

    science says you reach much better

  379. 16:21

    decisions this way. By infusing the

  380. 16:24

    agents with your purpose, with your

  381. 16:27

    values, with your experiences, with your

  382. 16:29

    aspirations, and then let them argue

  383. 16:31

    instead of, you know, someone convincing

  384. 16:33

    you of something.

  385. 16:35

    So, we're right now

  386. 16:38

    in this wonderful

  387. 16:40

    back small communities who are getting

  388. 16:43

    together for purposes, and we can now

  389. 16:46

    build this agentic economy together.

  390. 16:48

    Nobody can say how to do it. It's really

  391. 16:51

    up to us. Build your agents, build your

  392. 16:53

    organizations.

  393. 16:56

    So, now, just like my friend Matthew

  394. 17:00

    Pahr gave me this little scrap of paper

  395. 17:03

    uh way back in November 1993 at my

  396. 17:07

    roommate Van's wedding, I'm saying,

  397. 17:09

    "Here's your invitation to join us." And

  398. 17:13

    um

  399. 17:14

    you know, let's let's blow this whole

  400. 17:16

    thing up. Let's uh really make it work.

  401. 17:19

    So, it's [REDACTED:email_address].

  402. 17:22

    You can reach me.

  403. 17:24

    LinkedIn, um it's {slash} motodave.

  404. 17:29

    Um I probably haven't updated my

  405. 17:30

    LinkedIn in 5 or 6 years. But, um

  406. 17:33

    if you go to kaduna.club, you can sign

  407. 17:35

    up for early access. And in just a few

  408. 17:38

    weeks, you'll be the very very first

  409. 17:40

    people

  410. 17:41

    who will be building this first um

  411. 17:45

    uh this first Kaduna, as it's called, is

  412. 17:49

    for builders. It's very specifically for

  413. 17:51

    builders. We have templates, all kinds

  414. 17:53

    of different agentic templates um to

  415. 17:56

    say, you know, I'm going to build my

  416. 17:58

    sales agents, I'm going to build my

  417. 18:00

    uh social media agents, I'm going to

  418. 18:02

    build my lawyer agents. And we really

  419. 18:05

    want a whole bunch of different people

  420. 18:06

    in there contributing to this cuz then

  421. 18:08

    you can spin out your own organization

  422. 18:10

    for all kinds of purposes.

  423. 18:12

    Um I purposefully went through this

  424. 18:14

    fairly quickly so that I could take a

  425. 18:16

    couple questions if anyone

  426. 18:18

    if anyone has them.

  427. 18:21

    Yes.

  428. 18:28

    Can you just stand up and yell a little

  429. 18:29

    loud?

  430. 18:46

    Okay, I'm going to One more time.

  431. 18:50

    Mhm.

  432. 18:53

    Yes. So, the idea is the reason we I set

  433. 18:56

    up this first very broad um

  434. 18:59

    uh organization is because anybody can

  435. 19:02

    just register it. You can just say, my

  436. 19:04

    agent is part of an organization, and

  437. 19:07

    it'll trace to it. So, you don't have to

  438. 19:09

    set up your own organization. The first

  439. 19:11

    one is just a big umbrella organization.

  440. 19:13

    So, that kind of So, it's the idea of

  441. 19:16

    now in the open internet, anybody can

  442. 19:18

    just get a code. So, these are just JWT

  443. 19:22

    tokens. I can put it on my website. I

  444. 19:24

    can put it here. I can say if you want

  445. 19:26

    to interact with my agent on Slack or

  446. 19:28

    wherever,

  447. 19:30

    people will just at at a certain point

  448. 19:32

    we're going to have to get the message

  449. 19:33

    out, but it's sort of like email at the

  450. 19:35

    beginning. You know, people had to know

  451. 19:37

    that SMTP, like people were on all kinds

  452. 19:40

    of different mail systems. At some point

  453. 19:42

    they agreed, "Okay, we're going to use

  454. 19:44

    SMTP." Everyone was, you know, using

  455. 19:47

    different FTP servers and some people

  456. 19:49

    were using different ways to do file and

  457. 19:51

    everyone sort of agreed at some point on

  458. 19:53

    HTTP. So, my hope is that I mean,

  459. 19:58

    someone's got to do it and it makes more

  460. 20:00

    sense for

  461. 20:02

    a state, a secretary of state, which has

  462. 20:06

    standing in a public office to be that

  463. 20:09

    registry rather than trying to get all

  464. 20:12

    these different companies together and

  465. 20:13

    say, "Here's how to do it."

  466. 20:25

    Yes, it each um

  467. 20:29

    we're just at the end of this, so let's

  468. 20:31

    talk out out front, but basically the

  469. 20:33

    idea is you can create all kinds of

  470. 20:35

    different tokens for different purposes

  471. 20:37

    and you can set different times to live.

  472. 20:40

    You can say what it has access to. You

  473. 20:43

    can give it access to different things.

  474. 20:45

    The idea is just it's more the standard

  475. 20:48

    and you set a series of claims and it

  476. 20:50

    says it gives a blockchain address. It

  477. 20:53

    gives all the information you need so it

  478. 20:56

    can look up and validate before you say,

  479. 20:59

    "Okay, now we're starting to work

  480. 21:01

    together."

  481. 21:03

    Okay?

  482. 21:04

    So, thanks so much and uh if anyone

  483. 21:06

    appreciate it. I guess I'll let me do

  484. 21:08

    this uh picture.

  485. 21:10

    Um

  486. 21:12

    uh so we can

  487. 21:14

    see all the people.

  488. 21:17

    All right.

  489. 21:20

    You're all going to be famous someday.

  490. 21:21

    Thanks.

  491. 21:35

    >> [music]