Why does AI need permanent data? And Autonomys Network can make data never invalid?

Why does AI need permanent data? Why can Autonomys Network make data never invalid?

In today's rapidly evolving AI world, there is a very risky but always overlooked problem:

What happens when the data disappears?

In 2021, a Nature Machine Intelligence study found that in the reviewed AI models that perform COVID-19 testing, none of the models have sufficient documentation or access to data for independent reproduction. This is not an abnormal phenomenon, but because of the structural problem of "data may be lost" in AI

While AI is gradually bringing changes to key industries such as healthcare, finance, law, and logistics, it is still built on fragile infrastructure. The model we developed is learning with information that may disappear tomorrow. And when this information disappears, our ability to understand, audit or correct AI output will also disappear.

The “memory” problem of artificial intelligence concerns everyone

From NASA's loss of Apollo 11's original HD tape, to AI chatbots in New York City recommending businesses ignore legal compliance due to training data poisoning, these examples clearly paint a picture:

When data is lost, artificial intelligence becomes unreliable.

In this way, the research results are no longer repeatable and compliance will be ignored. The worst part is that you can’t hold accountable.

Imagine:

• The financial model rejects your mortgage, but the historical data disappears;
• Medical AI misdiagnosed the patient, but no one could trace the source of the data it used for training;
• An autonomous agent made a disastrous decision, but the engineer was unable to reconstruct its learning process.

None of these are the problems in science fiction, they are already happening.

We need data that cannot be deleted

This is why Autonomys Network exists, and at the heart of Autonomys is building infrastructure to ensure one thing:

AI can “storage” data in the right way.

Traditional storage, including cloud servers, databases, and data centers, may be overwritten or shut down. But with a permanent data storage based on blockchain, information becomes unchangeable, verifiable and transparent.

Autonomys' decentralized storage network (DSN) and modular execution environment (Auto EVM) form the basis of the new AI stack, based on which data sources are proven:

• The data source is proof;
• Training data can be copied at any time;
• No centralized entity can delete or manipulate historical data.

This is not just a technological change, it is a fundamental redesign of the meaning of “how to trust AI”.

Transform vision into action

While the concept of permanent data sounds abstract, Autonomys has taken into account the actual use cases and the same partners we think during the development process.

Integration of The Graph allows developers to index and query historical and real-time blockchain data through subgraph, thereby improving the response speed of AI proxies and DApps.

The partnership with Vana introduces user-owned data, enabling the community and DataDAO to develop AI models in a decentralized and privacy-protected manner.

Cooperation with DPSN, AWE and other companies shows that the demand for Autonomys' tamper-proof on-chain storage infrastructure is expanding.

These partnerships all point to the same principle: trusted intelligence requires trusted data storage.

The second phase of the main network: the milestone of transparent

intelligence

With Autonomys about to launch the second mainnet point, we are currently completing the remaining key tasks:

• Work with SR Laboratories for ongoing safety audits
• Preparation for tokens to be launched on exchanges and a coordinated market strategy
• Launch new donation program and redesigned Subspace Foundation website

All of this is for one goal: launch an auditable, transparent and permanent layer of AI infrastructure from day one.

Perpetual data is not a luxury, but a necessity

As centralized AI systems become more powerful but increasingly opaque, Autonomys offers another option:

In the future, AI will be trained with data that cannot be deleted; in the future, model behavior can be traced and interpreted; in the future, transparency will be built into the protocol rather than policy commitments.

As our CEO Todd Ruoff said:

“We are facing a choice: to continue building AI on a data sand that cannot guarantee long-term existence, or to build an infrastructure that can stand the test of time. For those of us who understand the stakes, it’s easy to choose.”

Conclusion: The trustworthy era of AI begins with perpetual data

Autonomys is not just developing another blockchain. It is building the cornerstone for AI systems, and AI systems must not lose data because the cost is too high.

Perpetual data is a prerequisite for reproducibility, interpretability and accountability in the era of autonomous systems.

Perpetual data requires infrastructure to be kept, not weeks or years, but generations.

Autonomys Network is such an infrastructure, and the trusted AI future begins here.