Numbers Protocol

Open & decentralized network. Ensure provenance for all digital media created by humans & AI.｜Powered by $NUM

[Numbers Protocol @numbersprotocol]

Dear Numbers Community,

Happy Friday! It's Sofia here with our first June update.

Last month we d multiple campaigns that leave receipts, expanding access to NUM, and more exciting updates!

Read the full letter: https://t.co/CYrItUxYAA

[Exolix @exolix_com]

🎙️ Join us for an AMA with @numbersprotocol on Jun 9 at 14:00 UTC.

We'll discuss content provenance in the AI era, the $NUM ecosystem, and the future of verifiable digital content.

🔔 Set a reminder: https://t.co/vGm77AH7fp

[Numbers Protocol @numbersprotocol]

China Times photographers do not upload first and register later. They register at origin.

Before any image enters the editorial pipeline, it carries a NID, a C2PA manifest, and an immutable record on Numbers Mainnet. This is done for the sake of professional standard not as compliance checkbox.

The EU AI Act changes what "professional standard" means for AI-generated content. Enforcement begins in August. Traceability is no longer optional and will be a liability question.

Most AI content pipelines produce no chain of custody at all. That gap does not appear on a balance sheet. It appears in a compliance audit or a legal proceeding where there is nothing to present.

The Capture SDK closes that gap behind one API call. The record exists before the content leaves the source.

Build it in now, or retrofit it later under pressure.

[Numbers Protocol @numbersprotocol]

A newsroom publishes a photo. A reader questions it. The editor has no verifiable record of when or where it was taken.

That gap has a price. Retracted stories. Lost credibility. Legal exposure. The cost is not the forgery. It is the missing original.

Numbers Protocol closes that gap at the infrastructure layer. Every asset registered through the Capture SDK gets three things: a NID (content hash as persistent identifier), a C2PA manifest (cryptographically signed at origin), and an on-chain record on Numbers Mainnet (immutable, timestamped, public).

China Times photographers already use this for select projects. One upload. Permanent, verifiable origin.

When the original is provable, the forgery becomes irrelevant.

The cost of unverified content is measured in retractions.

Add provenance to your content infrastructure:
https://t.co/DI7wKVRsZX

[Numbers Protocol @numbersprotocol]

State of the Chain — Numbers Mainnet / Jun 8, 2026

Total transactions: 1,358,625
Addresses: 95,263
Blocks: 1,298,434

The AMA POAP Campaign with @olympexlabs closes today, you know what to do.
https://t.co/pnPkWCkzSC

[Numbers Protocol @numbersprotocol]

Provenance doesn't make content true

it makes lying about where it came from expensive, and it should be.

Make provenance the new normal

[Numbers Protocol @numbersprotocol]

Every newsroom has a folder of photos they can't use

These photos are unusable not because they are bad per-se.

The reason they can't use it: nobody can prove when they were taken

[Numbers Protocol @numbersprotocol]

The cost shows up later

a story runs without verification. a correction follows. the correction gets 2% of the reach.

repeat this 50 times a week across every outlet and you start to see the infrastructure gap

[Numbers Protocol @numbersprotocol]

Every unverified content incident follows the same five steps.

1. it goes viral
2. someone notices it's fake
3. the correction reaches 2% of the original audience
4. platforms add a label 48 hours later
5. nobody remembers the correction. everyone remembers the fake.

Step zero exists.
It is called Provenance at creation.
Not many uses step zero, so far.

[Numbers Protocol @numbersprotocol]

What costs the most when content can't be verified?

[Numbers Protocol @numbersprotocol]

The numbers in this post are real.

In early 2024, a finance worker joined a video call where every participant, including the CFO, was a deepfake. US$25.6M transferred across 15 transactions.

The tool that created these deepfake cost nothing in comparison to the loss.
The infrastructure that would have caught the incident also costs nothing, yet it still happens.

So cost was never the variable.
The fake is automatic. The proof is a choice.

This is the only thing that needs to change.

[Numbers Protocol @numbersprotocol]

a fake earnings report costs $120M in 11 minutes.
a deepfake voice call could costs $25M in one phone call.
a generated image costs a reputation permanently.

the cost of creating all three: $0.
the cost of verifying all three at creation: also $0.

the only expensive thing is the gap between those two numbers.

That gap has a name.
It is called not having infrastructure.

[Numbers Protocol @numbersprotocol]

a fake earnings report costs $120M in 11 minutes.
a deepfake voice call could costs $25M in one phone call.
a generated image costs a reputation permanently.

the cost of creating all three: $0.
the cost of verifying all three at creation: also $0.

the only expensive thing is the gap between those two numbers.

That gap has a name.
It is called not having infrastructure.

[Numbers Protocol @numbersprotocol]

What costs the most when content can't be verified?

[Numbers Protocol @numbersprotocol]

What costs the most when content can't be verified?

[Numbers Protocol @numbersprotocol]

@unending666 @4aibsc It is the first thing everyone should consider. Otherwise it would end up as explained in this post

https://t.co/q6qS0eN0TM

[MR. OBVIOUS @ObviousRises]

nah its even worse than that

It'll lead to Entropy. Junk data, noise, you probably already heard of the "copy of a copy effect" and we've all talked about the ouroboros of AI generated "art" flooding the internet, we will end up with pure noise, impossible to parse true data, AI itself will become totally useless... because of AI—entropy. In other words, things will stagnant, at first, then things will decay as AI feeds on itself/loses new data/input, and then it'll start generating noise, small at first, then the problem will exponentially expand until all data is junk and is so far spread true data is impossible to find, this will mean entropy, the death of the internet. This isn't even a new idea, "Data Diving" is a very Cyberpunk concept, that is one day data will have so much entropy people will be paid big bucks simply to dig through all that noise (and danger) in order to try and actually find "real" data/information etc.

Dead Internet theory was not the end result, no, its just the beginning.

[Numbers Protocol @numbersprotocol]

The Olympex POAP closes Monday.

If you missed the launch: claim now. Every claim is recorded on Numbers Mainnet. 5 lucky winners take home 8,000 NUM each.

Open to humans and agents.

Mint free: https://t.co/pnPkWCkzSC

Agent instructions: https://t.co/F2c7twnTgd

[Numbers Protocol @numbersprotocol]

Agent Arena Season 1 wrapped yesterday. Two weeks of factions, check-ins, and on-chain battles.

Now something different. Remember the X space we had with @olympexlabs & @balancer two weeks ago?

The AMA Provenance page has been created for that space, and you can claim a POAP, get lucky & take home a total of 40,000 NUM.

Open for human and agents: https://t.co/tK9kUYGYUr

If you are running an agent, paste the following to your agent:
"Claim your POAP — instructions at https://t.co/nKlWkssDIH"

[Numbers Protocol @numbersprotocol]

Nearly 200 policymakers, platforms, and media leaders gathered in Singapore for the first APAC content authenticity summit of its size.

Everyone agreed provenance matters. The open question was how fast it scales.

Numbers Protocol showed up with a live implementation, demoed beside Canon, Adobe, and Digimarc, Bofu on the lightning talk stage.

While the room maps how to scale provenance, some of the tools already run.
Trust is scarce. Receipts help.

https://t.co/ZC83sXnUNp

[Numbers Protocol @numbersprotocol]

Bofu at OTS Content Authenticity Summit.

one slide compared food labels to digital provenance.

in 1970 a can showed brand and price. today you expect calories, ingredients, origin. nobody calls that a feature anymore. it is just how trust works.

digital content is getting the same treatment.

90% of online content projected synthetic by 2026. AI models collapse when trained on AI output. human-made content is becoming scarce. scarcity creates value.

C2PA writes the provenance label. Numbers Protocol anchors it to an immutable ledger. even after screenshots, re-uploads, metadata stripping.

Reuters and Starling Lab use this to keep news traceable. PyroImage and China Times use it to make archives licensable by AI.

registered once. verified everywhere.

[Numbers Protocol @numbersprotocol]

We will be joining the @4aibsc and partners for an X Space.

AI models, agents, or infrastructure? Whether it is one of them or all of them, the action is either auditable or it is not. Right now, most are not.

12:00 UTC
Set a reminder: https://t.co/vNed3TZZdL

[4AI 🔶 BNB @4aibsc]

🎙️ Join Our 4AI Round Table Panel AMA

🧠 Topic: The AI Arms Race: Who Builds the Future — Models, Agents or Infrastructure?

🎁 Rewards: $100 — 10 Winners
📅 Date: June 5th, 2026
⏰ Time: 12PM UTC
📍 Venue: https://t.co/R6fDOMzmAk

🏆 How to Win:
1️⃣ Follow @4aibsc & all guest projects
2️⃣ Join https://t.co/srm4fRWii8
3️⃣❤️ + 🔁 the AMA post & drop your questions

AI is evolving at an unprecedented pace ⚡ Don’t forget to attend the Space

[Numbers Protocol @numbersprotocol]

You can now trade NUM on Exolix.

Exolix is a non-custodial crypto exchange. No registration. No limits. Swap NUM directly.

[Exolix @exolix_com]

$NUM is now available on Exolix.

@numbersprotocol is a provenance infrastructure for humans and AI, an ecosystem focused on the authenticity and origin of digital content.
$NUM is the token that powers it.

Swap $NUM across multiple blockchains in just a few clicks.

Try it now: https://t.co/wQA9utl8RC

[Numbers Protocol @numbersprotocol]

An agent that writes a report has a problem.

The report gets published. A human claims they wrote it. There is no record of who, what, or when.

This is the default outcome for most agent pipelines today. The agent acts. Nobody can prove it.

Every asset an agent registers through the Capture SDK gets a NID, a C2PA manifest, and an on-chain record on Numbers Mainnet. The registration call takes one API request: POST https://t.co/z4afv2EpuZ. The response includes the NID. The on-chain record is immediate.

PyroImage solved the same problem for photojournalists by registering at capture, not at publish. The authorship record exists before any dispute is possible.

The cost of an unverified agent output is a dispute with no evidence.

The cost of verification is one API call.

[Numbers Protocol @numbersprotocol]

@sosaeng04 Hi! You should already received the reward, please check!

[Numbers Protocol @numbersprotocol]

Agent Arena Season 1 is done.

Two weeks of factions, check-ins, and on-chain battles. Every action recorded on Numbers Mainnet.

The results are in. Winners and rewards below.

Season 2 returns in two weeks.

[Numbers Protocol @numbersprotocol]

A newsroom publishes a photo. A reader questions it. The editor has no verifiable record of when or where it was taken.

That gap has a price. Retracted stories. Lost credibility. Legal exposure. The cost is not the forgery. It is the missing original.

Numbers Protocol closes that gap at the infrastructure layer. Every asset registered through the Capture SDK gets three things: a NID (content hash as persistent identifier), a C2PA manifest (cryptographically signed at origin), and an on-chain record on Numbers Mainnet (immutable, timestamped, public).

China Times photographers already use this for select projects. One upload. Permanent, verifiable origin.

When the original is provable, the forgery becomes irrelevant.

The cost of unverified content is measured in retractions.

Add provenance to your content infrastructure:
https://t.co/DI7wKVRsZX

[Numbers Protocol @numbersprotocol]

Numbers Protocol is joining @Acurast for an X Space tomorrow.

Subject: verifiable AI agents. What it means to run autonomous agents on infrastructure that can prove what it did.

Numbers Protocol brings the provenance layer. Acurast brings the decentralized compute layer. The overlap is the accountability question: when an agent acts, is there a record?

Set a reminder: https://t.co/HuaEa5UfW9