What is AI in blockchain if no one actually can use it easily?

The number of blockchains is increasing I'm looking for AI integration Although it is a capability, the growth of AI on blockchain comes with serious challenges, particularly the problems of “chain silos.” This can fragment sectors and reduce the full realization and utility of the possibilities of distributed AI (DEAI). After all, if there are no widely available use case scenarios, how do you continue the narrative and innovation of the DEAI sector that is currently already over-distance?

take Blockchain native autonomous AI agent As an example, the exact census of AI agents on blockchain is elusive, but the available data strongly suggests a rapidly growing dynamic landscape. Numbers can range from hundreds to potentially thousands when considering individual deployed agents across different platforms and projects. All these AI agents exist in the scattered landscapes of the chain. If a computer could not communicate with another computer before the World Wide Web was invented, it would have been like it would not have been able to fully unlock the possibilities of the computer.

meanwhile Intensive AI Suffering from corporate-controlled data silos, DEAI takes the risk of creating new silos at the blockchain level when interoperability is not prioritized, maximizing the possibilities of DEAI.

This fragmentation is not merely about data residing in different ledgers. It extends to unique protocols, smart contract languages, virtual machine environments, consensus mechanisms, and overall operational logic for each different blockchain.

For example, DEAI applications built to take advantage of Ethereum and its specific features EVM It may not be able to interact or utilize natively with AI models deployed in non-EVM chains like Solana without resorting to complex and potentially unstable bridging solutions. Similarly, AI agents trained within one chain environment can be difficult to operate effectively elsewhere. This leads to scenarios in which separate databases or non-communication tools on different chains become isolated islands of DEAI activity.

Fragmentation issues can limit the scalability and impact of DEAI solutions, similar to those found in distributed identity systems or healthcare electronic health records for platform compatibility.

Building a Cross-Chain Super Application

The vision of the DEAI community goes beyond isolated applications on a single blockchain. Building a “super AI application” is becoming an important mission for many people.

Imagine complex decisions across different, often diverse and different blockchain environments as a comprehensive platform or network of integrated services that cater to a variety of AI capabilities, such as sophisticated data analysis, distributed model training, autonomous agent deployment, complex decision-making, and more. Such applications are not limited to resources or limitations in a single chain.

On the one hand, special layer 1 blockchains like Bittensor and Gensyn are designed from the ground up with DEAI-specific requirements in mind. These platforms aim to provide an environment optimized for tasks such as mass data processing, intensive calculations, or unique AI model incentive mechanisms, based on the assumption that generic L1S is not ideal for the clear requirements of DEAI.

Meanwhile, many well-known DEAI apps and protocols such as Ocean Protocol and SingularityNet were first launched with established general purpose L1s like Ethereum, and are currently pursuing a multi-chine strategy.

After that, important discussions arise. Commit to a specialized L1 for potentially superior tailored performance, but build on a smaller early ecosystem, or established L1S/L2 to take advantage of a wider reach.

Inevitably, successful DEAI platforms increasingly rely on reliable, functional cross-chain capabilities to access the wider market, liquidity, and data sources, regardless of the underlying architecture, and thus avoid the very “silosation” they aim to overcome.

The challenges of AI on the blockchain

However, Super AI App Vision has major challenges.

1. Technical hurdles

• Protocol incompatibility and data fragmentation
• Cross-chain bridge and communication scalability and transaction speed limit security vulnerabilities

2. Issues in Data Governance and Standardization

• Establishing consistent and effective data governance across multiple autonomous blockchain networks presents a formidable challenge for cross-chain AI

3. The challenges of AI models and agents interoperability across the blockchain

• The unique environment of individual blockchains also creates specific challenges for interoperability between AI models and autonomous agents

It's a long way to go for AI on blockchain, but it's promising

Despite these challenges, industry players are actively cross-chaining research into solutions and standardization of DEAI superapplications, including leaders such as BSC and Solana, but this is still in their early childhood. In the meantime, innovations in protocols, platforms, and conceptual frameworks have also been shaped to create a more interconnected DEAI ecosystem that could become practical use even for beginner internet users. This trend is inevitably driven by the great potential under the synergistic benefits of AI and blockchain. The inherent properties of blockchain can address some of the most pressing challenges of AI, but AI can unlock new features and efficiency in distributed systems, such as network optimization, intelligent resource allocation, and automated security auditing. We discussed the benefits and benefits of AI on blockchain over centralized AI in a previous article.

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