AI On-Chain

Dec. 8th 2024

ICP dominates development in the AI & Big data Space

Summary:

ICP leads the charge in on-chain AI technology and offers a fully integrated solution that surpasses competitors.

Recently, Santimet released a list of the top 10 projects utilizing the best AI technology. However, ICP was not included on this list. In response, the ICP community banded together, voicing their concerns about this oversight. Thanks to their efforts, Santiment updated the list to include ICP.

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In terms of developer activity, ICP is significantly ahead, with 7 times more development activity than NEAR Protocol, 9.7 times more than Bittensor TAO, and 29.6 times more than AGIX. This highlights its leading position in the blockchain space.

ICP stands alone. It boasts a fully integrated AI on its blockchain, while others do not.

Bittensor for example, operates with a different approach to AI compared to ICP. 

Unlike ICP, which fully integrates AI on-chain, Bittensor’s AI model is primarily off-chain. It uses a decentralized network known as Subtensor, which serves as the underlying blockchain layer that supports the system’s consensus, tokenomics, and incentive mechanisms.

The Bittensor Network allows miners to contribute computational power and data to train AI models. These miners are incentivized through Bittensor’s native TAO token, which they earn based on the quality and utility of the AI models they contribute to the network. While the blockchain component (Subtensor) ensures the decentralized governance of the network, the AI models themselves are still trained off-chain, meaning they are not stored or processed directly on the blockchain.

Source: bittensor; medium.

Unlike ICP, which already supports on-chain AI models through its canister architecture, NEAR is focused on layering AI functionalities over its existing infrastructure.

NEAR’s approach allows AI models to interact with the blockchain but relies on external infrastructure (like cloud computing or third-party services) to handle the computational demands required by AI processing. This hybrid setup introduces challenges in ensuring full decentralization and transparency. For example, if off-chain computation is involved, the security and tamper-proof nature of the AI models could be compromised.

Source: near.org

What sets ICP apart is its established AI on-chain, supported by a dedicated team of scientists who consistently work on proposals and implementations.

The effectiveness of AI on the Internet Computer Protocol is closely linked to its Canisters Architecture which serves as the equivalent of smart contracts on ICP but goes beyond traditional blockchain smart contracts by functioning as autonomous compute units. 

Canisters enable the hosting of AI models directly on-chain, ensuring decentralization, trustlessness, and greater security for AI applications. This makes ICP ideal for use cases where privacy and transparency are critical.

The architecture offers heap memory and stable memory for data management.

Heap Memory is a volatile storage,suitable for temporary data, while Stable Memory is a persistent storage that retains data across canister upgrades.

By leveraging stable memory, developers can deploy AI models entirely on-chain, eliminating the need for external cloud services. 

AI on-chain is crucial for fostering a clean and transparent Web3 space. ICP is focused on making it as tamper-proof as possible, unlike current models such as GPT-2. Tamper-proofing ensures the system or model resists unauthorized modifications, preserving its integrity and reliability. This concept is particularly important in applications where accuracy, security, and transparency are vital. 

A tamper-proof AI cannot be hacked or corrupted. 

This innovation also addresses the AI black box problem. AI models often act as “black boxes,” producing outputs without clear insight into their internal decision-making processes. This lack of transparency can lead to security vulnerabilities.

By running AI models entirely on-chain within the Internet Computer’s canisters, it becomes possible to Ensure Integrity, Enhance Transparency and Improve Trust.

A concrete example can help clarify why the use of AI on the Internet Computer Protocol is effective and ahead of the competition in current technology. 

In the healthcare sector, AI is increasingly utilized to assist with medical diagnostics, treatment recommendations, and even drug discovery. However, errors or biases in AI models can have severe consequences. If an AI system used for diagnostics is compromised or trained on flawed data, it could lead to incorrect or harmful medical recommendations.

With ICP AI’s model, we have:

  • Tamper-proofing – This ensures that once a healthcare AI model is trained, it remains unchanged and immune to manipulation, providing a reliable tool for medical professionals. This is especially important in high-stakes areas like diagnosis and treatment plans.
  • Transparency and Auditability – Healthcare providers and patients alike need assurance that AI-driven decisions are based on valid and consistent logic. On-chain AI models can be continuously monitored for accuracy and fairness, offering transparency in their decision-making processes.
  • Security:  – With ICP’s decentralized architecture, sensitive patient data used for training models can be securely managed and processed without relying on centralized servers, which are vulnerable to breaches. This offers an added layer of protection for personal health information.

Healthcare providers can use an AI model running on ICP to diagnose medical conditions based on patient data. With the tamper-proof feature, the model’s decisions, such as recommending treatments or medications, are trusted by doctors, knowing the underlying AI cannot be altered or hacked. Moreover, the blockchain ensures compliance with data privacy laws, since patient data can be encrypted and stored securely.

And this is just one of the many possibilities.

ICP stands at the forefront of on-chain AI innovation. As the demand for trustworthy and autonomous AI continues to grow, ICP’s commitment to a decentralized and transparent Web3 ecosystem positions it as the leading choice for developers and users alike. With its team of dedicated scientists and ongoing advancements, ICP is not just redefining the AI landscape—it’s shaping the future of decentralized technology.

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