Numbers Protocol & Exolix X Space Recap

On June 3, 2026, Exolix organized an X Space involving the Numbers Protocol with the help of a Numbers Intern to discuss provenance infrastructure, the genuineness of digital content, AI-generated media, and blockchain for ensuring the source of content found online. The entire Space can be viewed at the following link: https://x.com/exolix_com/status/2061457327576817785?s=46. 

The main topic for discussion was a very common question in the present-day digital world. It revolved around how people could determine if a particular online piece of content was authentic, produced by an AI program, edited, recycled, or taken out of context. Numbers Protocol explained that the infrastructure they had built helped users find the full history of a particular digital item.

What is Numbers Protocol in simple terms?

Provenance Infrastructure development goes on for both Human and AI. Even though the concept of provenance seems complicated for some, it simply means that it refers to the full history of any object. What we need to pay attention to is the full history of the digital content, be it a photo, video, or any kind of media file available online.

These days, it becomes harder to know if any given content was created by humans, by artificial intelligence, or even using both of these methods simultaneously. Several years back, one could easily distinguish between the content created by AI and human-generated media. Nowadays, however, artificial intelligence has become capable of creating highly realistic images and videos quickly enough, and this ability will only develop further.

Numbers Protocol allows following the full history of any content. One can learn if it was created by a person or artificially, when it was done, which tools have been used, and what edits have been done during that period.

It does not only go about knowing if any content was artificially created. This helps people understand the background completely. For example, if anyone posts an old video and claims that everything happened today, one will be able to check if this statement is true.

How did Numbers Protocol begin?

We began our work in 2019, before the AI-generated content became ubiquitous. For the first phase, we offered the simplest application - Capture. The idea behind it was rather simple - a user captures a photo using the application and then traces its story since its creation. After the capture, all the changes done to a photo can be recorded as well.

Within the NFT trend, it naturally worked perfectly because it helped people determine ownership and track the story of their digital property, thus enabling them to record content provenance and transform it into NFTs.

Yet, gradually, it became clear that NFTs were only a small portion of a larger goal. Provenance is important not only for collecting items but also for the entire Internet as such. Since our activity takes place online, we need ways to determine the origin of digital content, trace its changes and present it in the proper context.

Therefore, we expanded our goal beyond NFTs to a much bigger challenge of creating a foundation of digital trust.

Why did AI make provenance more important?

AI has changed the nature of the problem. AI is now capable of producing images, videos, text, and other content much faster than any human being, and it becomes more realistic with each iteration. As a result, there are ever-growing amounts of fake content online, where you cannot tell real from fake or even edited photos and videos.

What we are saying here is not that the AI-created content is inherently bad. AI is extensively used today, and we use AI in our daily routine as well. The problem here is that of transparency.

It should be possible to distinguish whether a piece of content has been created by a human, by an AI, or jointly with the help of an AI and a human being. The problem is of even greater importance for creators. In case one creates something worth his/her attention, be it an image, design, written material, video or social media posts, there needs to be a way to prove one's authorship over the creation.

As AI develops further, human-created content may start to become more valuable, but people should have the ability to prove that they created something and that their content is valid.

How does Numbers Protocol work?

This can be explained concisely in three steps: capture, certify, and verify.

To begin with, one must capture the content. In this example, the content would be captured by taking a photograph using the application "Capture". As soon as that is done, data like the device used, timestamp, location, among other contextual data would have been captured.

To certify the content, one should make sure that the content is registered on Numbers Network. This creates an immutable log of that information. This gives the content an easily traceable chain of events.

To verify the content, when someone views a photo or video online and wishes to know its origin, they could use our Verify tool. They will upload the content and be able to check details like the author of the content, the time it was created, and its history.

Therefore, there is no need to guess if the content is authentic, modified, AI-generated, or misquoted.

What makes this different from ordinary metadata?

While normal metadata might be valuable, it can also be removed or tampered with. For example, there are certain platforms that are capable of detecting AI-made content according to C2PA standards. The upside is that this allows recognizing that an image has been created using some kind of AI model.

 On the downside, such data can sometimes vanish after a file undergoes any process, such as uploading and then downloading it again through another software program.

That is why blockchain technology has to be incorporated into our infrastructure as well. Specifically, we use ERC-7053, which makes it possible to append additional data to the history of content creation and upload in a blockchain record. As a result, the reliability of the provenance layer can be improved due to the nature of blockchain records.

We aim at complementing rather than replacing current practices. While C2PA provides description of the content, on-chain data will allow preserving its history.

Who needs provenance infrastructure the most?

All users of digital content creation will benefit from provenance. Artists, writers, photographers, journalists, or people who are creating digital media need a way to prove the ownership of their creations.

There were users we worked with who had problems due to their works being used without permission. In cases where there was proof of copyright infringement, it is still difficult to prove ownership in legal settings. There were even claims that works were used in order to train AI models.

Provenance allows registering the media from the time of its creation, making the process of proving ownership much easier.

AI companies also need provenance because new regulations will require them to show where the data came from, and whether the creator was compensated for their work.

Provenance is also needed in the field of journalism. Although it is a photograph taken at the right place and at the right time, it does not make it true if the context of its usage is false.

How can Numbers Protocol help journalists and media teams?

The other crucial scenario for the use of provenance is journalism.

When dealing with breaking news, political elections, social protests, war zones, and conflicts, pictures and videos can be distributed rapidly. But there are always some risks when you want to use the actual content, as the latter can be manipulated easily. For instance, an old picture can suddenly become relevant to current news, while a video shot somewhere else can pretend to capture recent happenings.

Provenance allows journalists to establish the source and history of media files. It can identify the author of content and provide information about when and where the particular image was created.

It can be really helpful for photojournalists who have to document events in war zones because they need to confirm authenticity and integrity of the created content.

In our collaboration with photojournalists and other media organizations, we have seen how powerful provenance could be to support integrity and reliability of news stories.

What partnerships or ecosystem initiatives are important for Numbers Protocol?

We collaborate with content creators, media firms, copyright societies, and infrastructure builders.

One such effort was called the Creative Origin Alliance. The effort involves associations that value content provenance, creators' rights, and authenticity of media content. A good example is the Design and Artists Copyright Society of the UK.

Our efforts include collaboration with photojournalists, media associations, and even firms based in Taiwan. Provenance is especially valuable to news organizations since their content is usually repurposed by other firms.

Finally, we have made great efforts in expanding upon our Numbers Network infrastructure. Specifically, there is a program geared towards innovative ideas and products that use our infrastructure. The first iteration required relatively strict conditions, focusing primarily on provenance.

However, we expanded this initiative significantly. Today, anyone who can demonstrate the utility of working with Numbers Network can join the program. This is important since the provenance infrastructure gets reinforced when used by many people.

What role does the NUM token play in the ecosystem?

NUM is employed internally by Numbers Network.

Anything that involves working with the protocol requires the use of NUM. For instance, capturing photos using Capture, registration of contents, appending metadata using ERC-7053, editing, or engaging with the Verify engine may need NUM.

Therefore, this token is involved in activities within the protocol. It is not just limited to being a marketable token. It facilitates activities within the infrastructure for provenance.

Finally, Numbers Protocol itself has existed for quite some time now, meaning that the majority of the vesting for the original tokens have taken place. We also burn NUM quarterly until the number of tokens drops to 50% of the original number of tokens.

There is also staking available, and sometimes, we organize community-based events where participants can win NUM tokens.

How do you see the future of Numbers Protocol?

The future is in terms of provenance infrastructure for humans and AI alike.

In today's world, it may be tempting to focus on provenance in terms of creators, media houses, and content in general. However, in the coming years, AI agents too will require some sort of provenance in order to prove their credentials.

As automation increases and more work is done through AI, humans will have to know how an AI agent got to its conclusion or came up with whatever result it did. The whole process needs to be clear and provable if the AI agent is doing anything, from producing content to making decisions.

This is why Numbers Protocol could be considered an audit layer for AI agents. While humans may still make choices themselves, those choices will benefit from understanding how the AI process led up to those decisions.

What is the main message you want users and creators to remember?

If you add value, then you should be able to show that it's your value.

After all, every single person in the audience is human -- not some AI agent. People make stuff. They write stuff, design stuff, and capture stuff through photographs and designs. All of that is valuable.

However, the problem is that the increasing adoption of AI technology makes it increasingly difficult to prove the difference between human-made and machine-made content. And this is why it is necessary for the creator of this content to start thinking about provenance.

Numbers Protocol is just one way out of many. The point is, you need to do something.

And, if you truly value the content you've created, then find a way to prove that it's yours.

Final

Both Exolix and the Numbers Protocol X Space demonstrated the importance of provenance infrastructure in the era of AI-generated content.

With more content being created with the use of AI, edited photos, and synthetic media being used and shared online and even AI-generated posts, users require better solutions that will help them validate the content they consume. This is what Numbers Protocol attempts to do with its development of infrastructure enabling certification and verification of content provenance.

Special thanks to Numbers Intern for participating in our session and sharing information about Numbers Protocol, the importance of content provenance, and how blockchain can be used to guarantee authenticity and transparency.

Don't miss any further Spaces, ecosystem news, token integrations, campaigns, and discussions by following Exolix and Numbers Protocol on X.

There's more coming.