And agents need a better data diet

And agents are on the road. In the first few months of the year, there is a wave of investment and excitement in this area, and autonomous assistants that promise to take more personal and professional tasks. From trading partners in scientific researchers, applications are expansive.

But there is a critical gap between promise and performance agencies are only capable as the data they can access. Often, these data are withdrawn from the dead work part of the sitting, untested or public sources. Worse, there is no difficult and fast infrastructure to ensure private and secure processing. Therefore, agents require better data “diet” to overcome the gap for expectation, achieving contextual understanding and delivering current accuracy.

The good news is Blockckain offers a solution that help in which agents can access verified data and is certainly processed through trusted artists. In combination with insight on the chain, we can deliver one-two strikes of better decision-making and stronger privacy. The result? Agents who really know you and, they are important worth your trust.

Trash in the trash

Agents are like any technology in that entry determines the way out. But now we are facing the problem “Trash in, Trash”. We fed these models with abundant amounts of information, but without the ways set up, confirm, or meaningfully connect it – they struggle to meet it together. There is little chance that agents hit the brand if the data coming is not qualitative and the framework that runs it is not defined.

In that sense, agents are like us. If we only eat junk food, we are half and slow. If the agents are consumed by copyright and second hand material, they are incorrect, unreliable and general, not specific. Their data “Diet” determine performance. For example, see trading. Real-time access to market data, historical trends and cross-chain activities needed effective decisions. But when these data were scattered via the ether or inadequately verified, bot decision making is limited.

The solution is not only more data – the more information is better. These emerging platforms need infrastructure for transforming raw information into part of insights while maintaining strict privacy standards. We need a system in which data are not only abundant but also enriched with activated meters and confirmed by an unprecedented consensus. Only then can agents be moving to imitate knowledge of an independent explanation.

Improving data diet with block

Our industry must also set up some information for questions before agents hit the main flow: Where do information come from? Do we have consent for the creator and fee? And how do we guarantee privacy during processing? In all three areas, Blockcain can play a role in the arrangement in this new agency.

For data origin, BlockCain offers a new providence. Each data can be monitored on its source, creating an immutable record of origin and history. Through reliable performance and cryptographic evidence, agents can verify the authenticity of their sources and ensure that they work with the zero party data, not secondhand approximations.

The issue of consent and compensation of the Creator also finds a natural solution in the programmable nature of Blockoin. Users can connect their online identities NFTS-like ERC-7231– Who will act as a digital passport. This standardization gives users better control over their data and decision whether or not. If they decide to do this, users can open avenues for automatic compensation whenever this information helps in trance or improve AI. This signals the late transition from the old data extraction model into one of the exchange of fair value.

Finally, Blickchin architecture provides security guarantees for safe processing. Agents can analyze information through chain ecosystems and evidence of zero knowledge without detecting sensitive details. This creates an ecosystem in which high quality strokes are free, but private data remain protected. This is of vital importance in building a key element for adoption: confidence.

Better nutrition, better agent

We now need agents. They are at the top of becoming our digital best friends and confidentiality. If it will analyze our most sensitive information and suggest the following best steps, agents need a frame that is baked into confidence. This is, again, type of traceability and reliability that blockchain can offer.

The emerging frameworks enable this by providing verification mechanisms directly to the agent foundations. As a result, agents are armed and histories in a transaction on chain and out of chain, user profiles and advanced meters – during authenticity verification through multiple steps. When an agent accesses your financial data or health records, this foundation guarantees your information remains protected with this enabling agents to develop humanity.

AI agents are an informative version “You are what you eat”. It is currently on us – data manufacturers and data connections – to ensure that they are ready to adopt the mainstream with strict data principles. Only then, enjoying a better data diet and digest them effectively, can agents reach their potential to become our reliable superhuman helpers.

Yukai tu

Yukai tu is the main technology officer in Carva. Yukai is an expert in confidential computing and blocking and holds MS in computer science from UCLA. In Carv, YukaI helps build a Car’s data chain and Carv’s data frame, agent infrastructure, which expands SVM capabilities at Etherum and allows agents with high quality in chains and outside the chain. He also worked as a software engineer on Google and Coinbase, Cosmos SDK and block engineering in Lino network.