Why does AI need eternal data? And how can Autonomys Network ensure that data never becomes obsolete?

Why does AI need permanent data? Why can Autonomys Network ensure that data never becomes obsolete?

In today's rapidly evolving AI landscape, there is a highly risky yet often overlooked issue:

What happens when data disappears?

A 2021 study published in Nature Machine Intelligence found that among the reviewed AI models for COVID-19 testing, none had sufficient documentation or accessible data for independent replication. This is not an anomaly but rather a structural issue with AI where "data may be lost."

While AI is gradually transforming critical industries such as healthcare, finance, law, and logistics, it still relies on fragile infrastructure. The models we develop are learning from information that could vanish tomorrow. When that information disappears, our ability to understand, audit, or correct AI outputs will also fade away.

The "memory" problem of AI concerns everyone

From NASA losing the original high-definition tapes of Apollo 11 to an AI chatbot in New York City recommending businesses ignore legal compliance due to poisoned training data, these examples paint a clear picture:

When data is lost, AI becomes untrustworthy.

As a result, research findings lose reproducibility, and compliance can be overlooked. Worst of all, accountability becomes impossible.

Imagine:

• A financial model denies your mortgage, but the historical data has vanished;
• A medical AI misdiagnoses a patient, but no one can trace the source of the training data;
• An autonomous agent makes a catastrophic decision, but engineers cannot reconstruct its learning process.

These are not issues from science fiction; they are already happening.

We need immutable data

This is the reason for the existence of Autonomys Network, which is fundamentally about building infrastructure to ensure one thing:

AI can "store data the right way."

Traditional storage methods, including cloud servers, databases, and data centers, can be overwritten or shut down. But with blockchain-based permanent data storage, information becomes immutable, verifiable, and transparent.

Autonomys' Decentralized Storage Network (DSN) and Modular Execution Environment (Auto EVM) form the foundation of a new AI stack, where data provenance is provable:

• Data provenance is verifiable;
• Training data can be replicated at any time;
• No centralized entity can delete or manipulate historical data.

This is not just a technical shift; it is a fundamental redesign of what it means to "trust AI."

Turning vision into action

While the concept of permanent data may sound abstract, Autonomys has already considered practical use cases and partners that align with our vision during the development process.

Integrating The Graph allows developers to index and query historical and real-time blockchain data through subgraphs, enhancing the responsiveness of AI agents and DApps.

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

Collaborations with companies like DPSN and AWE indicate a growing demand for Autonomys' tamper-proof on-chain storage infrastructure.

All these partnerships point to the same principle: trustworthy intelligence requires trustworthy data storage.

Mainnet Phase Two: A milestone for transparent intelligence

As Autonomys prepares to launch the second phase of its mainnet, we are completing the remaining key tasks:

• Ongoing security audits in collaboration with SR Labs
• Preparation and coordination of market strategies for token listings on exchanges
• Launching new donation programs and redesigning the Subspace Foundation website

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

Permanent data is not a luxury; it is a necessity

As centralized AI systems become more powerful yet increasingly opaque, Autonomys offers an alternative:

In the future, AI will be trained on immutable data; in the future, model behavior can be traced and explained; in the future, transparency will be built into the protocol rather than being a policy commitment.

As our CEO Todd Ruoff stated:

"We face a choice: continue to build AI on a data quicksand that cannot guarantee long-term existence, or establish an infrastructure that stands the test of time. For those of us who understand the stakes, the choice is clear."

Conclusion: The era of trustworthy AI begins with permanent data

Autonomys is not just developing another blockchain. It is building the foundation for AI systems, which cannot afford to lose data because the cost is too high.

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

Permanent data requires infrastructure to preserve it, not for weeks or years, but for generations.

Autonomys Network is that infrastructure, and a trustworthy AI future starts here.