Exciting Use Cases at the Intersection of AI and Blockchain

The advent of crypto and blockchain was nothing short of revolutionary. These paradigm-shifting technologies have disrupted traditional finance, introduced new standards for trust and security, and led to the rise of Web3 — a new version of the internet powered by decentralized protocols and crypto.

In the coming year, we’re quickly approaching an inflection point as crypto and blockchain intersect with another transformational technology: Artificial Intelligence (AI). Here, our team explores some of the most exciting and impactful applications at the intersection of AI and crypto.

AI-Driven Smart Contracts

Smart contracts are a foundational technology in blockchain. Their central feature is the ability to self-execute code that carries out a set of instructions, which are then verified on the blockchain, making them trustless, autonomous, decentralized, and transparent. Uniting smart contracts and AI has the potential to exponentially increase the ability for smart contracts to respond to changing events and circumstances making their output more timely and effective.

Imagine being able to dynamically adjust the terms of a smart contract without manually updating the contract’s code. With the integration of AI, decentralized applications (dApps) could start doing just that. Smart contracts interacting with AI-powered oracles would be able to execute complex tasks autonomously, and, for example, dynamically adjust terms based on real-time data or performance metrics.

Secure and Decentralized Computing Power and Data Storage

The emergence of AI and large language models (LLMs) has reinforced the need for an increasing amount of computing power and highlighted the importance of ensuring large data sets can be stored securely and in a cost-effective manner. Blockchain and crypto can play an important role on both these fronts, as secure and decentralized blockchain networks can provide additional computing power and long-term data integrity for use across various AI models.

Using blockchain to secure and decentralize large data sets is particularly valuable for large-scale analytics, including federated learning, where machine learning and AI models are trained across enormous decentralized data sources. And, as AI progressively becomes a large part of our day to day lives, the availability of computing power to process accurate and uncompromised data becomes a requirement.

Training GPTs on Blockchain Data

The enormous success of AI products like ChatGPT has validated the use case for GPTs (generative pre-trained transformers). But there is so much more that can be done with GPTs. Training GPT models on blockchain data, rather than just text, can enhance the generation of content related to blockchain transactions.

This approach could lead to more sophisticated models for analyzing and interpreting blockchain data, making complex blockchain data more accessible to a less technical audience and generally increasing access to blockchain data and analytics.

Transparency Through On-Chain Language Models

Transparency is a central feature of blockchains. In contrast, the data that underpins LLMs, which form the base of many contemporary AI applications, are largely hidden from view and difficult to parse.

An LLM that operates on-chain would use a data source that is verifiable and transparent. This would transform the traditional "black box" model into an "open box," allowing users to trace and verify the origin of the data used by the AI model.

Authenticity Verification on the Blockchain to Combat Disinformation

Disinformation, deep fakes, and the general dissemination of fabricated information are becoming increasingly common with the proliferation and sophistication of AI-based systems, and can have deep ramifications across the globe.

Blockchain can help mitigate these threats through cryptographic validation and timestamping. Imagine a decentralized platform that targets a wide range of AI-generated disinformation using non-fungible tokens (NFTs) to establish a digital fingerprint for content, enabling transparent content curation, verification, and distribution. In this way, blockchain can play an important role in addressing the fallout from more nefarious uses of AI.

We’re entering an exciting time for the crypto industry, with the convergence of AI with blockchain and crypto marking an important evolutionary moment for our industry. We can’t wait to see what else will emerge from the intersection of blockchain and AI!

Onward and Upward!

Team Gemini