Sunday, October 18, 2026

The Future Of Our Digital Systems - Part Two

NOTE: If anyone downloaded the new Trust Mesh spec, I discovered midweek that it merged incorrectly, plus the new approach adds some additional residuals, so I’m going to harden and/or close everything that is within the scope of design and cryptography, then do one more deep dive into the best version of a sealed reference that could be deployed on consumer phones in a way that reduces collisions and duplicates most effectively. I’ll write up a final article on my findings and post the completed spec soon. 

Today’s article highlights how the sovereign digital vault works and its broader applications. I believe this combined with Trust Mesh creates a layer of privacy and security that our digital systems will be required to have in the era of AI, and I’m proposing this is the best way to do it. I’m putting the finishing touches on this specification as well and hope to have both ready next week.   

4,900 words

The Future of Our Digital Systems - Part Two

Intro

While the roadmap is toward a fully decentralized, sovereign vault on your phone, where you control the records, permissions and relationships you use across different services, the Creator Vault is the initial product that gives creators a direct route to their subscribers. The company builds the app and runs the business, while a small network of independent operators provides delivery. This gives creator connections a delivery route independent of the originating company from the beginning, with decentralization growing as the vault’s uses expand.

The network evolves from creator connections into a multipurpose vault with separately protected services, network-assisted security and recovery, and broader decentralized governance. This article explains the Creator Vault, then how the security and governance of the network would operate at full maturity.

The Creator Vault

A creator can spend years earning an audience’s attention. A subscriber can spend years finding the people whose work is worth their attention. The connection they form deserves a record both can keep beyond the platform where they first met.

Creator Vault is designed to give fans one inbox for the creators they choose to follow, wherever those creators publish, and give creators a direct way to reach those fans when a platform changes the rules or algorithms that determine their reach.

A creator posts a video or article, then sends a notice with a link directly to their fans, who see it alongside notices from the other creators they chose to follow. The published work stays on its original platform. Notices arrive in publication order, and the fan can pin or mute creators with settings that stay on their own phone.

For Creators

You gain a direct route to fans who ask to hear from you that is independent of the platform. Send a publication notice into their Vault inbox without competing for a limited position in a recommendation feed on their home screen, so your next release has a place among the work they chose to follow.  

You keep a portable record of each fan’s permission to receive your notices. Both of you hold a copy of that agreement, so the years you spend building an audience can serve you wherever you choose to publish. An email list gives you addresses. The Vault gives you a signed record of each fan’s permission, the settings and tier they chose, and the route to reach them directly.

If you have a team, you can share publishing permission without handing over control of your vault. The design also provides for members-only notices to fans whose paid status you confirm through your own payment processor.

For Subscribers

You get one place to keep up with the creators you care about across different platforms, with controls to prioritize their notices. Tuesday’s podcast arrives beside a photographer’s new tutorial and a newsletter release. Each notice is a link that takes you to the platform when you are ready to open it.

The inbox keeps notices in publication order, with optional recommendations clearly distinguished from followed creators’ notices. You choose whose work belongs there and when to open it.

How Do A Creator And A Fan Connect

The creator shares a follow link or a QR code when they publish content. The fan downloads the Vault app for free and chooses to follow. The connection does not require sharing an email address. The link can sit beneath a video, and the QR code can appear at the end of a live event.

Both apps keep a signed record of that choice. The creator can set a policy that automatically accepts matching requests, so a large audience does not mean approving every follow by hand.

Their Vault apps use digital signatures to record what was agreed, and the records are encrypted on their devices. Each subscription uses a different identifier, so following several creators does not give those creators a common tracking number for the fan. Each connection carries its own permission. The fan can end the follow at any time. Export preserves the signed agreements and their permissions, and import restores them into the Vault app.

Do I Have To Leave The Platforms I Already Use

No. Creators keep publishing where they already publish, and fans follow the link to watch or read the work there. There is no need to upload a second copy to the Vault. If a creator later moves a show or publishes somewhere new, the next notice can link to that place using the permissions fans have already granted. 

This is useful for ordinary growth as well as an unexpected move. A writer can tell existing readers about a podcast they are starting and have notifications of their publications for both services arrive in one place.

The Vault hosts no videos or articles. Every notice sends fans back to the service hosting the work.

How The Service Operates At Launch

The Vault company builds the app, runs the business and provides customer support, software updates and hosted services. Delivery uses a small network of independent relay operators from the beginning. Each ordinary connection uses at least two independent operators, with the Vault company running at most one of its relays.

The company can suspend use of its own hosted service, and an outage can interrupt that route. An independent delivery route remains on the connection. Continuing to use it also depends on a working app and access to the user’s keys. This establishes delivery independence at launch while compatible apps and broader shared governance develop.

How We Protect Your Vault

Agreements are encrypted on users’ devices. The delivery service carries encrypted messages, and backups remain encrypted. Delivery and alert services can observe some timing and connection information, but that does not give them readable agreements.

Ordinary unlock uses the phone’s built-in biometric security for a limited session. Sensitive actions, including adding a device, bulk export of records and changing recovery settings, require fresh authorization. On supported phones, protected hardware enforces key use. There is no separate hardware key to buy or carry.

Publishing permission is separate from recovery authority. The app limits access to the records needed for each task and protects notifications, logs and backups from exposing private contents. Security testing, release review and incident response remain part of operating the product.

Recovery And Portability

Encrypted backup and tested export/import are part of the launch. The recovery design uses three pieces, with any two able to open the recovery package when the encrypted backup is available. Restoring records and restoring authority to act on a connection are separate steps. Possession of the required pieces and backup makes the stored records readable, which is why the pieces need separate safekeeping.

Setup includes a recovery rehearsal. Company support cannot bypass the required keys and reset a vault. The launch is for creator connections; storage of higher-value records and credentials is outside its scope.

Controlling Spam

Rate limits and admission controls restrict follow requests and other actions that can be abused. Fans can end a follow, mute notices and report abuse. These controls do not require proving that every account belongs to a different human.

Can I Still Discover New Creators

Yes. The design includes a searchable public creator directory and recommendations from creators themselves. Someone whose work you already enjoy can point you toward another person worth following, so creators can introduce their audiences to each other.

You control whether suggestions appear. Optional discovery uses interests kept on your device, with limits on how many suggestions can appear among notices. The design allows flat-fee promoted suggestions, clearly labelled Sponsored, and separate Promoted placements in discovery results. Payments never change the order of organic results or the notices from creators you follow, and you can switch suggestions off entirely.

Discovery is optional. The first business plan does not depend on promoted listings, and they are not included in the financial model.

What Does It Cost

The pricing commitment is to keep the basic Creator Vault service free for subscribers. The planned invitation-only creator pilot is free too. After the pilot, the pricing plan is one flat creator fee plus usage charges for delivery and storage. Rates are set from measured costs and published before anyone is charged. Optional hosted services include automated follow acceptance and extra backup storage. The Vault takes no percentage of a creator’s sales, and there is no fee simply for adding another connection.

Creator fees fund delivery, storage, security and support, including payments to independent operators. Subscribers are not charged each time they unlock their vault or approve an action. During the free pilot, company funding pays the operating costs.

Building The Business

The first thing to build is a product that creators and subscribers want to use. The investment model is equity in the company building the app and selling its services. Revenue comes from useful software, reliable delivery, hosting and support.

What The Pilot Proves

The pilot tests the basic experience: download the app, follow a creator, receive a publication notice, mute or end a follow, export and restore records, and recover after losing a phone. It also measures delivery and storage costs, support needs, subscriber retention and creators’ willingness to pay.

The initial appeal is to creators who value independent thought, free speech, truth seeking, and control over their relationships with subscribers, especially those exploring controversial topics or speaking truth to power. Writers, podcasters and educators who already publish in more than one place are another natural audience.

The pilot tests whether these creators and their subscribers use the inbox, whether enough creators will pay for it, and whether delivery continues through an independent operator when the company’s delivery service is unavailable. Once the pilot proves demand, outreach to creators with large audiences, such as Joe Rogan, could help expand adoption. 

Creator Vault Network Operation And Security

This section describes the mature network: who operates it, how authority is divided, how private records are protected, and how the services are funded. The available technical specification describes the mature network. Additional security constructions, including separately protected service compartments and network-assisted authorization and recovery, are being hardened alongside the specification. 

Beyond Creator Connections

Creator connections are the first use. The same foundation could give people a private place to store important documents, keep purchase records, manage account permissions and make agreements that remain theirs when they change services. For agreements, each person keeps a signed record of what they accepted, with later changes becoming part of that history.

The shared rules cover how records are stored, signed, exchanged and carried between compatible apps. A contractor’s business app and a homeowner’s personal vault could exchange the same work order without being made by the same company. Publishing those rules does not make anyone’s private records public.

Buying And Selling Online. An agreement template could record the item, its condition, the price, payment and delivery terms, and any return agreement. Buyer and seller would each keep the accepted terms, with payment confirmations and delivery records added as the transaction progresses.

Personal Documents. People could keep insurance policies, warranties, school records and other important documents in separately protected compartments, with permission to share a particular document without opening the rest of their vault.

Private Files And Backups. Photos, notes and personal archives could remain encrypted in the vault, with encrypted backups held by storage providers. Changing the app or provider would not require giving up control of the files.

Work Agreements. A designer could keep the agreed brief and price alongside approved revisions and delivery records; a contractor could use the same pattern for an estimate and later changes to the job. Both parties would retain the accepted terms when either changes services.

Delegated Tasks And AI Assistants. A person could give another person or a connected assistant permission to carry out a defined task. Participating services could check that permission’s limits and return a record of the actions taken.

Those are possible later uses, not features promised for the first release or revenue included in the plan. Keeping a signed record also does not, by itself, make a property transfer or a contract legally effective.

How The Network Grows

The creator launch establishes encrypted agreements, participant-held keys, usable exports and recovery, with independent delivery from the beginning. As adoption grows, more providers offer delivery and storage, compatible clients give people a choice of apps, and broader shared governance distributes authority over the network’s rules.

Each expansion has a working test: a compatible client imports existing agreements, recovery works without company infrastructure, and the network continues when the company’s services are removed. Existing agreements and permissions carry forward without asking every fan to follow again.

The company publishes transition milestones and reports progress against them. Transferring shared authority requires published notice, compatible software and successful continuity tests. This transition is separate from the protocol’s patent license, which follows its own published terms.

How We Secure The Network

A corporate product could offer an inbox, encrypted agreements and backups. So why decentralize it? Because the creator and subscriber should be able to keep their relationship when the company changes its policies, stops serving them, makes mistakes, or even disappears. If one company controls the only usable app, delivery route and list of approved providers, it still controls that relationship. Independence is the allure and entire point of the product.

Encryption protects the agreements. Decentralization gives people independent delivery routes, compatible apps and shared authority, so no company, including Vault, has exclusive control over their connections. The company can still build secure software, fix vulnerabilities and respond to attacks. The job is to keep those protections while separating the powers that could be used against the people relying on them.

How The Network Operates

A relay is a post-office box. The sender drops a sealed envelope in a box with a random address and no name, and the relay holds it until your phone checks in. It cannot open the envelope, but it can observe delivery and collection activity. A service that sends your phone alerts can also see some timing and connection information. Readers who know Nostr will recognize relays. What differs is the record: a signed agreement held by both people with the fan’s permissions inside it, and a mailbox that connects them.

The creator network starts with at least three independent relay operators. The same independent-route requirement continues as the network grows. A creator or creator cooperative can operate a relay, but several servers under one company’s control count as one operator.

As the network matures, the app, delivery, alerts, backup and discovery can come from different providers. No board gets a master key to everyone’s vault. Compatible apps and usable recovery arrangements extend independence beyond message delivery.

Separating Access Inside The Vault

The mature design extends the two levels of authorization described earlier to the records themselves. A creator inbox does not unlock a compartment holding sensitive documents or credentials. Each service receives access only to the records and actions the person has allowed, with separate encryption keys and isolated access. Using one service never gives it access to the whole vault.

That is how we limit the damage of a compromise. One service does not get another service’s records, and notifications, search indexes and backups preserve the same separation. Software controlling a device after a legitimate unlock can copy what that device is allowed to read; limiting that access is the purpose of the compartments.

Using The Network To Protect Sensitive Access

Sensitive compartments require both the user’s protected key and cooperation from independent network services. The phone requests the network’s help after local authorization, and the services check the enrolled device, the requested operation and its permissions. The face scan stays on the phone. This does not require Trust Mesh to establish a unique identity, and a future Trust Mesh integration could complement it.

The network’s part is divided among independent services, with a threshold required to cooperate. A three-of-five arrangement is the candidate configuration for validation. No service holds the complete network secret, and even a cooperating group still needs the user’s separate secret to decrypt the compartment. Splitting the entire decryption key among operators would give a sufficient group the ability to reconstruct it, so the user-held secret remains separate from those shares.

For the user, this looks like a fresh Face ID approval followed by a connection to the services. Each approval applies to the particular compartment or action, expires promptly and cannot be reused for something else. The app does not retain an unrestricted key that bypasses the network on later unlocks. Cached inbox reading remains local; opening a compartment with this stronger protection requires enough of its services to be online.

Those services follow defined rules for changing devices, replacing a failed provider and changing recovery settings. Each change requires authorization under the existing protections. No operator can weaken those protections by changing an account setting, and no action depends on the Vault company’s participation.

Can The Key Shares Be Anonymous

Key shares are stored under random identifiers instead of names, email addresses or a public vault number. Each provider receives a different identifier, and private access requests stay out of the network’s public governance log. That reduces the information an operator holds and makes records harder to connect across services. This provides pseudonymity: network activity can still reveal connections, and decrypted records may identify their owner. Unlabelled shares add privacy, while the separate user secret prevents the network group from decrypting the protected records alone. Some creator subscriptions are public, but the Vault does not assume that people want their connections exposed. The design limits information leakage even for ordinary follows. 

What Could Someone Capture And What Is The Prize

A hacked relay would not reveal the agreements inside your vault. It could delay messages or observe traffic patterns. Capturing the authorities that recognize providers could let an attacker exclude competitors. Compromising software distribution could give an attacker a route onto users’ devices. These are different powers, so the design separates them. For public subscriptions, some connections may already be visible on a publishing platform. Private records and future services can be more valuable, which is why protection cannot depend on assuming there is nothing worth stealing.

Role

What they do

What an attacker could gain

Relay operators

Store and deliver encrypted messages.

Delay or drop messages, disrupt service and observe traffic patterns. Relay control alone does not reveal agreement plaintext.

Admission issuers

Issue tokens that limit certain requests.

Refuse new admission or issue excessive tokens that enable abuse. They do not thereby own existing agreements.

Directory authorities

Jointly approve changes to recognized services.

With enough signing keys, exclude competitors or recognize services controlled by the attacker.

Independent witnesses

Check the consistency of the public record.

If enough collude, help conceal conflicting views. Witnesses do not themselves approve operators.

Software release authorities

Authorize client software releases.

Try to distribute malicious software that can access decrypted records or keys on a device, subject to the update route’s safeguards.

Sensitive access services

Provide shares of network assistance for authorized compartment access and recovery.

A sufficient group could block access or defeat the network-side check. Decryption would still require the separately protected user secret.

How Many Approvals Are Needed

Different powers require different approvals. Relays deliver messages under the permissions in each connection; they do not vote on each delivery. The design requires at least five independent authority holders to approve changes to the list of recognized services. With five holders, an ordinary change needs three signatures. The required majority grows with the group, and revoking a key does not quietly lower the threshold.

Independent witnesses check that the public record is consistent. They do not decide which operators are approved. Software releases have a separate approval policy, so authority over the provider list does not automatically grant authority to distribute an app update. The specification defines the thresholds and how those policies can change.

Independent release review and signature checks protect software updates. Their enforcement depends on the distribution route; app stores do not provide the same safeguards on every platform.

If too many authorities disappear, the current design can freeze rather than let a smaller group silently take over. That protects authority at the cost of availability. Public logs can expose conflicting changes, but they cannot force an operator to deliver a message or restore a lost signing key.

Who Runs These Services And How Do They Get Paid

Operators include the Vault company, creators or creator cooperatives, and independent businesses providing hosting, delivery, security or backup. Directory authorities represent qualified organizations with separate control. Witnesses and release reviewers perform the technical checks attached to their roles. Recruitment and qualification establish that independence before a service counts toward the network’s operating requirements.

Operators earn service fees funded by the products that use the network. Future services include their share of network security and recovery costs in their pricing. Operators are paid for providing the service, not for approving particular requests.

A creator can pay a provider directly, or the Vault company can include the service in its bill and pay the provider under a disclosed contract. Providers can settle usage charges among themselves. A creator running a relay can cover its costs, support a community or operate a service business. Measured operating costs determine sustainable rates.

The Vault nonprofit budgets for public infrastructure, independent review and witness services through disclosed grants, dues and service contracts. Payments buy no extra votes. Independence includes funding: if every operator depends on a contract the Vault company can cancel, separate company names provide little protection.

Would Software And Hardware Attestation Help

Attestation can provide evidence that a machine is running an approved configuration, and hardware-protected signing keys make theft harder. Independent code review and checks that a released app matches the reviewed source help prevent malicious updates. These controls work alongside independent operators and public records of shared decisions.

Approved software does not prove independent ownership, and an operator can still turn a service off or block traffic. The network therefore needs separate owners, administrators and credentials, multiple delivery routes, and tested ways to change providers. An approved but malicious release is a separate risk that code review and release controls must address.

How Does The Vault Limit Spam

The full-network design limits certain requests through admission tokens issued by independent services. At least two issuer operators must be available in the default configuration. These are alternative sources of tokens, not two votes required for every follow. The controls raise the cost of mass abuse, but multiple installations or issuers can still let one person obtain more tokens. They do not establish one account per person.

The network operates without Trust Mesh. A future integration can add identity-related protections under its own design. It does not replace protection of operators, software releases or governance.

How Recovery Expands With The Vault

The creator recovery arrangement restores stored records separately from authority to act on a connection. A waiting period protects changes to that authority; it does not postpone reading a copied backup once someone has the required recovery material.

Sensitive compartments have their own recovery protection. Ordinary inbox recovery does not unlock them. The recovery construction uses an app-generated secret kept outside the lost phone together with independent recovery services. Face ID on a replacement phone cannot establish that it belongs to the previous owner. The network cannot replace the user’s secret on its own: doing so would give it the power to unlock the data on its own.

Recovery that replaces authority includes waiting periods and notifications, with different procedures for subscribers and creator roots. The specification defines those procedures. For sensitive compartments, loss of every enrolled device and the independent recovery secret means loss of access. Setup explains that choice and provides accessible authorization options without silently weakening the selected protection.

The Company And The Nonprofit

Under the proposed governance model, a separate nonprofit holds the defined Vault protocol patent rights, shared specification and certification mark through formal asset assignments. Its board represents creators, subscribers, independent developers, operators, security and the company. The company has one seat, and the founder and investors have no permanent veto over the shared standard. The founding charter sets the board’s size, seat allocation, appointments and reserved decisions.

Changes to shared rules are published, reviewed and tested before a vote. Major changes to licensing or the charter require a higher threshold than routine changes. A board vote cannot rewrite permissions in existing connections. The nonprofit’s board, the directory authorities and the software release authorities perform different jobs; holding a board seat does not grant signing keys for every role.

How Shared Authority Evolves

The company retains control of its product, staffing, budget and commercial services. The recognized-operator list already requires independent approval; broader shared governance develops as more participants and compatible systems are established. In the mature five-holder directory example, Vault’s signature is not mandatory: three of the remaining four holders can approve an ordinary change if Vault disappears.

The company has no mandatory veto over the mature network. A directory vote does not authorize a software release, and a software-release approval does not supply a user’s signature on an agreement. Different powers remain separately controlled.

The network needs tested ways to replace failed services and rotate authorities while preserving the required approvals. Raising thresholds makes capture harder, but enough approvers must remain available for decisions to proceed.

Licensing And The Commercial Model

The proposal is a limited commercial lead window of four to five years, followed by a fixed opening date for royalty-free implementation of the core protocol under the nonprofit’s essential Vault patents. The length and exact license still need to be settled before financing. A published specification, an open-source app and a royalty-free patent license are different things; the documents have to say what is being offered.

Opening the core could make the company’s market larger. Other developers could bring new users and applications into a compatible network, and the company could sell its services into that network. It would also face competitors. This only makes sense if customers keep paying because the product is useful and well run. Releasing the application’s source code is a separate decision from opening the protocol’s patent license. The choice depends on how it supports adoption and the business.  

Validation Before The Full Network Operates

The network profile is tested against operator failure, collusion and company disappearance. Delivery continues through independent routes, replacement clients preserve agreements, and recovery follows the same permissions outside company infrastructure. Distinct company names do not count as independence when administrators, credentials or controlling owners are shared.

The additional security constructions require tests showing that ordinary unlock cannot open a sensitive compartment, ordinary recovery cannot bypass its protection, and modified app code cannot fake hardware authorization. Approval replay, changed recipients, expired requests and policy rollback are rejected. Adding a device or changing a recovery provider requires the existing authority. Notifications, logs, indexes and backups do not leak copies outside their compartment.

The threshold implementation also has to withstand malicious participants, replace and refresh shares safely, authenticate responses and protect the user-held factor through recovery. A threshold must be available for protected access; too many unavailable services stop that access. These constructions are carried into the specification and hardened before their security claims are treated as implementation evidence.

Trust Mesh

The Vault could become a practical foundation for Trust Mesh as more people use it to hold records, manage permissions and carry relationships across services. A future integration could connect those capabilities to Trust Mesh’s identity and verification system, letting participating services check claims and permissions without taking control of the underlying records. That creates a path toward the broader vision, but the Vault stands on its own: a useful product and network with its own customers, revenue and purpose, whether or not Trust Mesh is created and adopted.

Ideal Investor

I ran a small business for seven years, so I understand the practical and interpersonal challenges. But I am on Earth to create, so I’m not interested in running a software company. That is why teams exist.

The ideal person to lead this has already built successful software and a business. You understand both the Vault and Trust Mesh, see why people would want them, and recognize the direction our digital systems need to move in terms of privacy, security and self-sovereignty. You likely have some public presence or established relationships that could open doors to creators and influencers who would help drive early adoption. You may even have relationships with the current administration that would help with research grants for Trust Mesh while Vault is built.

You also understand that while a business exists to make a profit, there is also a larger mission here: protecting people from fraud and the imbalances of power. I believe this could evolve into something with a much larger impact than people might imagine right now. The risk/reward is very asymmetric. Follow your intuition on this. My contact will be on the specs next week. 


Monday, October 12, 2026

The Future Of Our Digital Systems - Part One

 6500 words 


INTRO: I’ve had several significant breakthroughs over the past two weeks and did a fundamental redesign of Trust Mesh that mitigates the issue of phone sensors not being ready to provide enough detail for uniqueness with a new approach. I also developed the Sovereign Digital Vault as a full specification and investment thesis as the wedge product to fund the network, which is next week’s article. 


Today’s article addresses the uniqueness problem and why Trust Mesh’s open standard is the best design for the future of our digital systems, with comparisons to World ID’s iris scanner, Humanity Protocol’s palm recognition, passport readers like ZKPassport and Self, and the passkeys Apple and Google already put on our phones.


The Uniqueness Problem 


A challenge for digital systems is proving that an account or transaction is one unique human who has not already been counted and is present without revealing who it is. Uniqueness is distinguishing each human from the other eight billion on the planet. Legacy systems approach uniqueness by tying every account to a real identity, but it comes at the cost of trackability and sensitive data vulnerable to a breach. Blockchain removes the identity with bearer keys but there’s no way to know how many accounts any one person controls, so it doesn’t work for any process requiring an exact count of participants, like voting. 


The Trust Mesh original design used phone sensors at onboarding to create one Slot for each human by turning face and voice inputs into a unique stable number with a stabilizer that separated into three lanes: one was stored on the network as a blinded marker that was impossible to reverse back to the face; a second was stored on the phone for local authentication of transactions; and a third was stored on the network as a separate blinded marker to recover a Slot onto a new phone if the original device was lost.  


This is the ideal design because it uses onboarding hardware everyone already has, so there is no centralized process or company in control, and by separating those three lanes using blinded markers it allows one human to map to one Slot, thereby creating a third account type of anonymous accounts backed by unique humans, open to every company through one shared registry. This is the highest bar of privacy and security for navigating digital systems with decentralized accountability and fraud control by requiring real-time human authorization for actions ranging from logging in to wire approvals to AI agent restraint. 


I created this ideal design knowing I would circle back and refine the onboarding if the results showed too many collisions between people who looked too similar for phone sensors to distinguish or a false acceptance rate that’s too high, allowing too many people to get a second Slot by onboarding again with changes like different lighting conditions or new facial hair. This is vital because any process that requires an exact count of participants like surveys or voting needs to know there isn’t a way for people to game the system by stuffing it with duplicate slots they control. 


The Sensor Problem

When I went back through what today's phone sensors can actually capture, I don’t think we’re quite there yet. A phone camera can't produce the blinded marker steadily enough for it to distinguish billions of people. Environments change, and lenses differ from one phone to the next, so there is too much noise that can’t reliably be reduced to a stable, repeatable number until we have more advanced sensors, which will happen in time, so it was worth exploring the best design, but it needs an adjustment to work now. The same person cannot come out as two different markers on two different days, and two different people cannot be too close to tell apart. At the scale of a global registry, if both of those mistakes happen often enough, it breaks the exact count of unique participants we’re trying to achieve, but waiting for technology to catch up could mean years, so I redesigned how the network achieves uniqueness.

The redesign works with today's phones and carries the ideal design inside it from day one to migrate seamlessly in the future as consumer phone sensors evolve. For now, when you enroll, your phone captures your face and four fingers with its camera, seals that capture so no one can read it, and sends it to the shared registry, where independent operators compare it against everyone already enrolled without any of them ever seeing it. That sealed capture is the stored reference. It is what the registry stores to determine your uniqueness, and nobody who holds a piece of it, including the operators, can see the face inside it. 

This reference is compared to others for closeness matches, which is far more forgiving of a bad angle or a new beard than using a single stable number, so the registry can tell people apart using today’s sensors. The downside is a reference has to be stored, which I very much wanted to avoid because I did not want to create a honeypot of identity that could leak, whereas the number of a blinded marker in the original design was destroyed and discarded completely. This is a compromise of my ideal for the wide-ranging benefits of a system that works now while retaining the aim of returning to the ideal in the future. 

The sealed capture gets a person into the registry, but it does not yet let them act. Before a Slot can count in a vote or approve anything, it has to pass a second gate: a document check, or a short visit in person for anyone without a document. Both paths carry the same weight, so nobody is shut out for lacking paperwork. The capture also has to prove it came from a live person and not a photo, a replay or an injected video, and the face and fingers belong to the same body. The phone's secure chip then attests that the genuine Trust Mesh app made the request. If you lose your phone, a separate recovery process with its own keys and committee moves your Slot to a new one, and your other devices can contest it if someone who stole it tries without you.

The blinded marker is still computed beside every sealed reference from the very first enrollment and runs in shadow, so nothing relies on it yet. Its error rates can then be measured across the live network and published. The network would be measuring itself as every enrollment adds to a public record of how much detail real phone sensors produce in real hands in real time. That record, together with controlled studies against known ground truth, decides when the blinded marker is ready on its own. Once the measurements pass their published gates, a governed rule change can let admission run on the marker, but the sealed references would keep being deposited as redundancy, in case the network needed to switch back for any reason. So the ideal design would get tested on real phones, by real people, while the network grows using a new design that is functional without creating a honeypot of identity to attack. 

The sealed reference has its own numbers to earn. How often it wrongly matches two different people, how often it fails to match the same person twice, how well the capture screens out photos and fakes, and how often a review wrongly holds up an honest person are all to be measured in the field and published. The birth date and first name taken from a document only help settle close calls. So the new design, like the old one, launches on numbers it has to prove, but a much lower bar to clear for deployment because it asks a lot less of our sensors to work, which is the point. 

One Global Human Registry


Vitalik once wrote an article expressing concerns about the idea of a single global registry, which are all valid, so let’s explore how Trust Mesh solves them. 


  • Stateless people without documents would be excluded. Trust Mesh uses biology first, then redirects collisions or edge cases to in-person local onboarding. 

  • A dual citizen in a passport-based system gets two identities from two passports. The new Trust Mesh design uses a document only as a second gate after the body is admitted, so a second passport cannot create a second Slot.

  • Fake documents from a hostile issuer get the same answer. A fake passport can’t create a Slot because the body decides admission. 

  • Damaged features: the capture uses face plus fingers, and cases that capture gets wrong go to supervised review and in-person adjudication at a witness desk. The whole design is to reduce these numbers to the minimum possible. 

  • Grown body parts and replicas remain open. The specification names synthetic captures and presentation attacks as known risks, bounded by liveness and injection checks, app attestation from the phone's secure chip, and error rates measured and published in the field. A replica good enough to fool a camera would fool an iris scanner or a palm reader too, so no biometric design escapes this. What Trust Mesh changes is the cost. A fake seat has to appear live at every counted act to execute, so a body part farm, if such a thing exists, needs its replica in front of the camera every time it votes or collects, and each extra seat needs a body part of its own. No identity system built thus far is free of edge cases. The idea is to make each one expensive, rare and visible.

The privacy and security of the Trust Mesh design makes the advantages of a single global registry far outweigh the disadvantages, especially with edge cases reduced as narrowly as possible. If we want an exact count of unique participants, there is no known way around a single registry, or several that cooperate, which amounts to the same thing. If several registries existed, every participant could hold a seat in each one, so there would have to be a shared deduplication process, which is then a shared registry. A system of multiple registries could still prove a present human approved a transaction, so real-time authorization could keep working, but no registry would know whether that person also held seats in the others, so voting, surveys and any process requiring an exact count would lose the one thing they need, which is the entire crux of the uniqueness problem. 

Uniqueness only works inside one registry. Phone service works the same way: many carriers sell phone numbers, but every carrier draws from one numbering plan, so one unique number reaches the same phone anywhere in the world. The key is onboarding must be an open standard, so no single company owns the global human registry. That way there can be many doors into the same verifiable room.

The Open Standard

Since no company will onboard its customers into a competitor's database, a corporate walled garden can only ever count its own customers, which is one of several reasons Big Tech cannot solve this problem with a corporate product.

The first open part of Trust Mesh is the onboarding protocol itself. Any company implementing the standard is building a door into one shared registry with standardized rules for capturing a person's face and fingerprints, sealing the capture on the person’s device so no one can read it, and sending it to the registry, which checks whether the person is already enrolled, and creates a Slot if they are not. These shared rules make every capture comparable, so one person cannot get two Slots through different doors, which is the only way a decentralized system can ensure an accurate count of participants isn’t full of duplicates or fakes. 

Here’s what comprises the open standard, so any company can build a door:

  1. The capture rules. Defining what a conforming capture is for each kind of door: a phone, a card, a public terminal or a supervised desk. This determines which features are used, the liveness and injection checks, and the requirement that the device attest it is running the genuine app.

  2. The sealing format. Each door simultaneously encrypts the capture to the registry’s key on the person’s device, so the onboarding company never holds a usable template, and the operators of the network never see it either.

  3. The admission rule. This is how the registry compares a newcomer against everyone already enrolled: admit, refuse as a duplicate, or send to review are defined procedures. It’s one published rule, so a person gets the same answer whichever door they try to enter through.

  4. The second gate. This defines what a document check or an in-person visit must verify before a Slot can count in a vote or a payout. Documents only corroborate; they never create a Slot.

  5. The credential and the receipt. This defines how the new Slot’s credential is issued without the network seeing inside it, and the receipt format any business can check.

  6. The marker computation. The method that turns a face into a blinded marker is public, so anyone can check that it is computed the same way everywhere. The markers themselves stay sealed.

  7. The conformance tests. These are published tests a door must pass before its captures are accepted by the registry. 

Here’s what is not open to anyone:

  • Running the registry. The operators who hold the enrollment shares and run the comparisons are bonded and admitted under the governance rules, and capped by country and owner. A company can become an operator, but not just by downloading the standard.

  • Certifying a door. A door’s captures count only once it passes conformance and its devices’ attestation checks out. That’s the defense against a door that would feed in fake people.

The second part of the open standard of Trust Mesh is the receipt. Enrollment allows a unique person to exist both on the network for uniqueness and on their phone for local authorizations. The receipt is what carries their uniqueness into every act they approve. Each time the person approves something, their phone's own biometric unlocks it and produces a receipt under a lease issued only to an enrolled Slot, tying that approval to that action. For counted acts like voting, the phone takes a fresh live capture, and the registry checks it against the Slot's own sealed reference on the network, so one person cannot be counted twice. A bank, a newspaper, an AI agent, or a robot acting for them verifies the receipt against the network's published parameters, without calling anyone and without learning who the person is. For that to work, every receipt must follow the same rules no matter which door the person enrolled through.

No business can keep a separate verifier for every company that onboards people, any more than a store could accept a different kind of currency from every bank. This matters most for any process that requires a trusted count. An election can only count each person once if every receipt marks a vote the same way, so a second vote from the same Slot is caught no matter which door that person enrolled through. Privacy has to be built into the format itself, so no company can add a field that lets businesses compare notes on who you are or how you voted. One standard receipt means any business in any industry can verify any person's receipt, every count stays trusted, and no two receipts can be linked back to the same person.

I filed patent applications on both the onboarding protocol and the receipt, which are pending. A nonprofit foundation will hold and license them on published, uniform terms to any implementation that interoperates with the open standard and feeds the shared registry, so no company can be shut out, and no company can fork the count. The patents exist so the standard can be built the way it is designed, with every door feeding one registry and every receipt counting the same way, because an open standard is a design that beats walled gardens. A shared registry benefits Big Tech companies far more than any version confined to their own ecosystems. A phone maker whose devices become doors into a global registry reaches every service on earth that checks a receipt, across dozens of use cases and every industry, which gives customers a reason to buy the latest, most capable phone. A uniqueness system built for its own ecosystem stops at the edge of its current customers and never reaches past it. Leading the implementation of an open standard increases a company's total addressable market past anything a walled garden can reach. 

Uniqueness Without Identity 

Anyone who proposes a global registry needs to answer two questions: how does the design prevent capture by corporations and governments intent on creating the ultimate surveillance system, and how does it prevent its database from being exploited by hackers, which would only add to the data breach problems we have today. This is where cryptography shines. The whole idea is for the registry to retain the least amount of data possible to perform a uniqueness check, distribute it widely among validators, and employ privacy techniques that don't reveal it to anyone. The surest way to prevent a data leak is to never store the data, and the next surest is to store only data nobody can read.

The registry keeps one row per person and nothing filed under a name, an address, a document number, or a photo. What it stores is a sealed reference to the person's face and fingerprints, just enough to tell whether a newcomer has already enrolled, and a sealed face marker computed beside it. When someone attaches a document at the second gate, a few general facts such as birth date and first name are sealed the same way to distinguish close matches. A separate recovery committee holds the sealed recovery anchor. After three years with no lease renewal or other ceremony, all of it is deleted. The registry never sees what people do after they are enrolled because the receipts generated at businesses for login or authorizations go straight to the business and the person’s encrypted vault on their phone and never touch the registry that holds the sealed references. The network certifies receipts in sealed batches without seeing who approved what or for which business, so there is no record of anyone's actions to steal or any linkability between services.

The sealed reference is split into pieces and stored by independent validators in different countries who cannot read even the individual pieces they hold. At launch, ten independent operators hold the pieces and seven must act together for every check. At full maturity, each epoch draws a custody committee of four to seven from hundreds of bonded validators around the world, and about two thirds of them, five of seven at the largest size, must cooperate to run a uniqueness check, which is done without reassembling the sealed pieces, so only a verdict of yes or no is produced. Cracking open a reference requires that same threshold of colluding validators, and the random draw is capped so that no single country, owner, cloud provider or hardware vendor can fill enough seats to reach it alone. The committee is kept small because every member takes part in every check and the pieces are rotated among them each epoch, so a larger committee costs more per check; the size is a published parameter that can increase as hardware gets cheaper. An attacker cannot know in advance which validators to target, because the next epoch's committee has not been drawn yet.

The pieces sit in secure hardware from at least three vendors, with no vendor holding more than about a third of the seats, and because they are rotated at every epoch a piece stolen in one epoch is useless in the next. The only computations allowed to touch the registry are published in advance, and amending that code requires a supermajority of validators and a public waiting period, so any attempt to turn the registry into a search engine would be announced before it could happen.

A government or corporation that wants to capture the registry has to own two thirds of a custody committee it cannot predict. At maturity the committee is drawn each epoch from hundreds of bonded validators, the caps force its seats across countries, owners, cloud providers and hardware vendors, and the pieces rotate when the seats do, so a capture has to be repeated every epoch to hold. Compelling seven of ten named operators at launch, or five of seven unknown ones a month at a time at maturity, would have to happen across countries that do not trust each other, simultaneously and in the open. 

A hacker has to breach that same set before the pieces rotate, whereas a typical company database falls to one stolen password. Even in the worst case, if a full threshold colluded at once, what they would get is the membership list and the sealed references, which could be worked back into rough faces, birth dates and first names, and a record of which Slots took part in which elections or payouts, though never how anyone voted, because the count is kept in a separate lane the registry never sees. They would not get a single receipt, a single purchase or login, or the authority to approve anything for anyone, because none of that ever reaches the registry. That is a prize deliberately designed to be uneconomical to take.

This is exactly why the design keeps the custody committee small enough to audit, draws it fresh each epoch so nobody knows whom to capture, and deletes what it holds after three years of silence. The design is also built to migrate to the original blinded markers as phone sensors improve. Admission can then run on the marker alone, and once the measurements show the references are no longer needed, a governed change can retire them, which removes the one prize the worst case leaves. This is how a global registry can use cryptography to produce a shared system that cuts fraud, restrains AI agents with human authorization, and carries one receipt across every industry with no company or government in control.

The Coming DeepFake Crisis 

This is a dualistic world. There is benevolence and maliciousness, so a tool as powerful as AGI, at whatever level of intelligence it reaches, serves the people curing cancer and the people attacking our systems alike. Both get the same tools. The bad actors do not have to run their agents through a public frontier lab. They'll run open models, or create their own agents on their own machines. They'll be independent laboratories with a mission of continuing to scam people and businesses by exploiting the security weakness of our system of identity and bearer accounts.

What AI technology is making cheaper by the day, and therefore more scalable by the day, is deepfake technology. A malicious lab will have thousands of agents scouring the web to assemble a human dossier on everyone from whatever data, photos, and videos they can find online. They will clone everyone's voice. They will know where you live, who your close relationships are, and where they live. These bots will figure out who is most susceptible to being scammed and run one of dozens of schemes that self-improve over time.

Imagine getting a text from your adult child or a parent on a Thursday. It says, "Hey, I'm taking a road trip on Saturday. I'll be back by the evening. Just wanted to let you know. Hope you're having a great week!" On Saturday another text says, "Do you have a quick second for a call?" If you say yes, a video call rings and there will be what looks like your child or your parent on the side of the road, with trees behind them and traffic sounds. "Hey, I ran out of gas and my stupid credit card is locked for some reason. Someone's gonna give me a ride to the gas station, but I don't have any cash on me. Can you send me $100?" They'll text you a link to their account with their name on it, except it's not their account because it’s not them; it’s a deepfake sending money to a scammer.

These bots will figure out which story makes the most sense per individual and run dozens of schemes on autopilot 24/7. You might get a call from your brokerage. Or a charity you donated to in the past. It will get to the point where we won't be able to tell whether an incoming text, email, video or picture is real. And once a capability threshold is reached it could go from zero to a hundred real quick as it spreads all over the place.

Good AGI and malicious AGI will battle it out on this digital playing field for control of our credentials and devices. Our cybersecurity firms will try to defend us with good AGI, but we cannot assume good AGI will always stay one step ahead of bad AGI. Think about how many endpoints there are. Every phone, inbox, bank login and payment app is a door. At today's human speed the damage is contained; at machine speed, with malicious AGI at the helm, it is billions of doors at once, and the defense has to hold on every one of them every single time while the bad guys only need to get through once. No cybersecurity firm can guard all of those endpoints one at a time. The malicious agents will find a way around the good ones in enough cases to make fraud worthwhile.

That is why this problem cannot be solved on the same layer where it exists. It must be solved on the human level with human authorization. The gate has to originate from a human, present and unique, who authorizes an action or a permission one layer down from the digital arena, on the phone's secure hardware that binds the approval to an exact act. The attacking AI sits in the middle with no ability to forge it, since it cannot be the human above and it cannot sign for the secure chip below. 

A deepfake can copy your face and clone your voice, but it cannot produce a fresh receipt you approved, live, on your own phone, for a specific amount going to a specific account. The bank would verify the receipt before executing the payment, so even a deepfake of you gets nothing from your accounts if no part of the process can produce a receipt but you. 

This only works if everyone verifies against the same receipt standard. The digital arena is way too complex to be broken up into hundreds or thousands of ecosystems running their own proprietary systems where every gap between them is a place for a scammer to slip through. The only way to close all of those gaps at once is a shared open standard that every bank, phone maker and app can download and build against at the same time. And since no corporation owns it, governments can mandate it for consequential actions like wires and logins. Ultimately, Trust Mesh is designed so that stealing your credentials or producing a deepfake of you is not enough to access your accounts or authorize an action. That doesn't make it unhackable, but it is designed to contain risks and make attacking it uneconomical.

All Roads Lead to Trust Mesh

(I had Claude research and write this section from each project's own documentation and code, so that the comparison rests on what they publish and not on my opinion of them, which could be biased.)

Every system that claims to prove a real human has to answer five questions. Does it count each person once across the whole world? Does it check that the person is present at the moment of each action, or only once at signup? Can the services a person uses track them with it? Who controls the door people enroll through? And who could capture the registry behind it? 

The comparison below comes from each project's own published documentation and code as of October 2026, analyzed in five separate review passes, one per question, and every claim about another project is drawn from that project's own documentation, with the two exceptions noted on passkeys. One difference applies to all of them: the others are running today, and Trust Mesh is a published specification that has not yet launched.

At a glance


World ID

Humanity Protocol

ZKPassport and Self

Passkeys

Trust Mesh

What it counts

Irises scanned at an Orb

Palms, by phone camera, later a vein device

Passports and ID chips, one account per document

Nothing; it proves a key

Bodies, through any conforming door

Presence at each act

Optional app-side Face Auth; signed version is a draft

None; a verification is reused for 30 days

ZKPassport: optional face match reused 30 days; Self: none in the protocol

Unlock by biometric or passcode; no uniqueness

Live check on the holder's phone bound to each consequential act

Linkable across services

No; proofs scoped per app, but every ID is a public on-chain account

Yes; base scope hands over email, phone and a Humanity ID

No, scoped per service; default identifier recomputable by the issuer

No; one key per site

No; receipts are unlinkable even to the signers

Who controls the door

One company builds the Orbs; the Foundation admits them

Humanity's app, model and scanner

Governments that issue the documents

FIDO open standard; sync and recovery run by each platform

An open standard any device maker can implement

Who holds the registry

Three named institutions on one cloud; two colluding can open it

The company's own platform, sole issuer today

No shared registry; ZKPassport's salt is 2 of 3

No registry

Committees drawn at random each epoch under caps; a deadline for handoff

World ID

World gets more right than any other project. Its Orb scans the iris, splits the result into encrypted fragments on the device, and sends them to independent operators who check for a duplicate jointly and learn only one bit, whether this person has enrolled before. Proofs are scoped to each app, so services cannot link a person across them, and Face Auth compares a fresh selfie on the phone against the face image from the Orb visit, so a stolen account is harder to use.

The registry is where it falls short. By World's own code, the uniqueness check runs on exactly three named institutions, under a security model that assumes no two of them collude and that all three run the published software faithfully. Every node runs on the same cloud provider, and the sources describe no bonds, no penalties and no limits on shared jurisdiction or ownership. The three parties are chosen by a governance board whose membership and rules are not published, and the whitepaper says the service "still requires more research before it can be made more permissionless." A global registry cannot rest on three fixed, publicly named parties that two colluding members can open.

The door is the second problem. Every enrollment runs through an Orb, Orbs are built by one company, and the Foundation decides which Orbs may join, so who can enroll, how fast, and in which cities, depends on where that hardware is deployed. The Foundation approves and signs the firmware every Orb runs, so the door's integrity rests on that one signer. The package the Orb sends to the phone holds raw iris and face images, and the network keeps iris-code shares with no stated retention limit.

The receipt is the third piece lacking. A World ID proof shows that an authorized key signed it, and in version 4.0 that key can be one of several across devices, seven by default and up to 48, including keys made for software agents. Whether a live human was present is an optional check the app runs on the phone, and the signed version of it exists only in a draft proposal, attested by a single vendor. Every World ID is also a public on-chain account whose key changes and recoveries are recorded with timestamps, the default verification path sends each proof to a World-hosted endpoint, and the specification notes the authenticator app could track the user, which is the kind of honesty that this work demands, so that is commendable. 

Trust Mesh answers each of these differently. At launch, custody sits with ten bonded operators under caps that force them across countries, owners, cloud providers and hardware vendors, and seven must act together. The rules then specify how that grows: once the operator count passes a published ceiling, each epoch draws a custody committee at random from the whole set, and the shares rotate with it, so an attacker cannot know in advance whom to capture and a stolen piece goes stale. World's own whitepaper says its path to more parties still needs research; Trust Mesh's path is written with its trigger. Any phone or certified device that passes the published conformance tests is a door to the same registry. The receipt binds the exact action, the exact amount and the moment of approval on the holder's own phone, is verified by the business against public parameters without calling anyone, and carries nothing that links it to another receipt, even for the network that signed it. If the lite launch path is taken, the handoff to independent validators has a deadline written into the software.

To match that, World would need to open its door into a standard any device maker can implement, move its three fixed parties to drawn committees under enforced caps, make live presence part of every consequential proof, and take the verification path and the account history off its own servers and chain.

Humanity Protocol

Humanity starts where Trust Mesh does, on the phone people already carry. Its first phase reads the palm print through the phone camera, and a later phase adds a plug-in infrared device for palm veins. That reach is its strength, and its whitepaper claims population-scale accuracy only for print and vein combined, not for the camera scan its basic check accepts on its own.

The registry is the problem. By its own whitepaper, the company's Core Platform is today the sole issuer of the human credential and runs the duplicate check itself, holding each user's encrypted palm signature paired with their wallet address and their personal-data credentials in sharded form. The paper lists three cryptographic methods that might protect the matching without choosing one, says raw palm images are never stored and elsewhere describes a database of them, and leaves the conditions for decentralizing as placeholders, "at least X independent validators" and "no single validator more than Y%," with no date. Later issuers are chosen by token stake, and 29 percent of the supply goes to the team and investors. Its minimal login scope, labeled "Human Verification Only," also hands each service the user's email, phone number and a Humanity identifier. Its on-chain check is recorded against the wallet, and its example contracts reuse a verification for 30 days. There is no per-action receipt and no recovery: a check returns whether a wallet holds a verified-human claim inside a window, and the documentation presents having no recovery process as a feature.

To match Trust Mesh, Humanity would need to run the duplicate check inside one named threshold computation among independent, capped parties that no token stake can buy, drop email, phone and global identifiers in favor of unlinkable per-service proofs, bind a live check to each consequential action, and specify a recovery lane.

ZKPassport and Self

These read the chip in a passport or national ID with a phone and prove facts about it using zero knowledge, such as age or nationality, without revealing the rest. They reach anyone with a chipped document and need no new hardware, and ZKPassport is honest in its documentation about what its face match can and cannot do.

They count documents, not people. ZKPassport describes its uniqueness as "one ID, one account," so a person with two passports holds two accounts and a person with none cannot enter. Self accepts a passport, an EU identity card, India's Aadhaar or a partner's KYC attestation with no check across them, and concedes an Aadhaar identity can be reset by changing its fields. Both derive the identifier from one document's chip data, so a renewed passport presents as a new person, and the identifiers are scoped per service, so there is no single count anywhere. The root of trust is the issuing government. By its own FAQ, ZKPassport's default identifier can be recomputed by the issuer; the salted alternative is off by default and runs on a 2-of-3 network with ZKPassport among the operators. Self concedes an issuer can detect whether a given passport registered.

Presence is weak or absent. ZKPassport's face match is optional except for salted identifiers, uses a head-turn challenge with no passive anti-spoofing model, has unmeasured error rates on chip photos, and is reused for 30 days. Self's protocol has no face match, its notes acknowledge that someone who reads a passport once can register it before its owner does, its recovery is unshipped, and its registration proofs run in a server-side enclave Self operates while its quickstart says only the proof leaves the phone.

To match Trust Mesh, both would need to admit people by the body and demote the document to a second check, so that a second passport cannot make a second person and a person with no document can still enter; feed one shared registry instead of a count scoped to each service; derive identifiers no issuing government can recompute or recognize; hold their secrets under a larger capped committee; bind a fresh live check, with measured and published error rates, to each consequential action; make that check a receipt any business can verify without calling them; and ship a recovery path.

Passkeys

Passkeys are not a uniqueness system, and they do not claim to be. A passkey is a key held on a device and unlocked with your face, fingerprint or PIN, with a different key for every site, so sites cannot link you. That makes them the best authorization layer most people already use, and Trust Mesh shares their root: its everyday receipts also rest on the phone's secure hardware and biometric unlock, and it names Apple and Google's device attestation as one of its own trust assumptions.

What a passkey proves is that the device's lock accepted someone. The WebAuthn standard says so itself: user verification "does not give the Relying Party a concrete identification of the user," and people sharing an authenticator "are considered to represent the same user." One person can make unlimited passkeys and unlimited accounts. A passkey signs whatever challenge the site sent with no display of the amount or action, and the transaction-confirmation extension that once existed is absent from the current standard; Apple Pay and Secure Payment Confirmation do bind an amount and payee, which is the one piece of a receipt the platforms already ship. Synced passkeys follow whoever controls the platform account, with no backup protocol in the standard, so each vendor's sync and recovery sits inside the trust base. This is also where Big Tech stands: the platforms can do authorization well, and uniqueness is outside their reach because each can count only its own customers.

To match Trust Mesh, a passkey would need one seat per human behind it, a receipt that hashes the action the person saw into what they sign, an issuer that cannot link two of a person's receipts, and a root no single company controls. Trust Mesh keeps the passkey experience and adds exactly those four.

The Common Thread

Each of these projects solves part of the problem well. World has the strongest private duplicate check, the passport readers have the widest low-cost reach, and passkeys have the best everyday experience. None of that has to be thrown away. Any of them can become a higher-assurance door into the same Trust Mesh registry: an Orb, a palm-vein reader or a passport check can admit a person under the shared standard, and a passkey can carry the receipt. What each would give up is owning the uniqueness count, which only works when every door feeds one registry.

Where to Read More

The new Trust Mesh specification, Essential Guide and full vision expressed in The Trust Standard book, among other additional materials, are here: Trust Mesh.

An Invitation

The easiest way for this to happen is for Big Tech leaders to realize a global open standard benefits them vastly more than each company creating its own proprietary version, not only for the hardware upgrade cycles but the vast inference that an open standard enables for AI agents anchored by human authorization. 

Next week's article covers the Sovereign Digital Vault, which is the wedge product that will fund the Trust Mesh network if nobody larger chooses to build it.