Author: Reflexivity Research

Translation: Plain Language Blockchain

Recently, the artificial intelligence industry has become a hot topic, with both positive and negative reasons. While you may already be familiar with the recent controversies surrounding OpenAI and may have explored the capabilities of existing artificial intelligence technologies, you may not have deeply considered how artificial intelligence interacts with blockchain-based systems. In this week's report, we will cover some existing applications that seek to fully utilize artificial intelligence and blockchain technology, as well as provide some information about these applications and the development of the artificial intelligence industry in the coming years.

1. What is Artificial Intelligence (AI), and What is Its Relationship with Cryptocurrency?

Before delving into the specific details of projects and more technical details, let's first introduce some basic knowledge about artificial intelligence technology and how talented teams and individual developers in the industry have led us to where we are today.

Let's start with the familiar ChatGPT. The core technology of ChatGPT and other consumer-oriented chat-based models is the so-called Large Language Models (LLM). These sophisticated artificial intelligence technologies are essentially a combination of deep learning algorithms and very large datasets, which together create an artificial intelligence model capable of predicting and summarizing knowledge.

LLMs combine deep learning algorithms and large datasets to predict and summarize knowledge.

User interaction with LLMs involves natural language processing, for which many LLMs are specifically designed. Users ask questions in natural language, and chatbots use technology and training data to provide the best possible answers.

LLMs are built on top of neural network models called transformers, which excel at predicting text and understanding the meaning behind words. Therefore, chatbots like ChatGPT have been hugely successful, almost sparking an AI revolution. The potential connections between these models and cryptocurrencies and blockchain will be discussed next.

2. How Can Cryptocurrency Help Implement Artificial Intelligence Applications?

The cryptocurrency industry is a widely discussed topic in the news, mainstream media, and other social media platforms every day. Since the publication of a white paper by Satoshi Nakamoto in 2008, this industry has grown into a market worth $1.5 trillion, and the world's largest financial institutions are facing the risk of a series of ETF approvals or rejections.

Describing the inherent advantages of blockchain technology to outsiders in the financial industry can be quite challenging, mainly because the financial industry is already very mature and smooth in most developed countries. The role of permissionless ledgers in financial transactions is easier to explain in places outside the United States, where corrupt financial institutions and governments still exist. Currencies around the world continue to depreciate, and most of the world's population still cannot access basic banking infrastructure, which is often seen as a secondary issue in the United States.

Cryptocurrency is a way of banking the unbanked, a technology that provides individuals with the opportunity to supervise their own financial operations, which is a revolutionary change not to be underestimated. The inherent characteristics of blockchain, such as transparency, security, and decentralization, can greatly facilitate the storage, sharing, and utilization of AI data. The combination of the two can effectively reduce data manipulation or abuse.

One promising area is in the field of data management and security. AI systems require a large amount of data for learning and improvement. By utilizing blockchain technology, this data can be securely and transparently shared among different platforms and stakeholders. This not only ensures the integrity of the data but also opens up new pathways for collaborative AI research and development, breaking down the data barriers that often hinder innovation. The integration of AI and blockchain creates legitimate decentralized autonomous organizations (DAOs). These DAOs are managed by smart contracts and powered by AI algorithms, allowing them to operate independently, make decisions, and execute transactions without the need for human intervention. However, in the history of cryptocurrency, the management of DAOs has not been perfect, as human emotions and financial incentives often overshadow the original purpose of DAOs. Implementing AI systems can change the industry by automating processes and reducing the need for intermediaries, thereby increasing efficiency and reducing costs.

Another promising area is the use of blockchain to incentivize the generation and sharing of AI data. Through tokenization, individuals and organizations can be rewarded for providing valuable data to AI models, creating a more cooperative and inclusive AI ecosystem. DeFi is also a potential huge beneficiary of AI, potentially creating so-called decentralized AI (DeAI). This approach can enable individuals and small entities to access AI tools and services that were previously only available to large companies, democratizing AI technology. The fusion of cryptocurrency and artificial intelligence has the potential to change many aspects of our digital lives, making AI more accessible, as well as more secure, transparent, and possibly more efficient. So, let's now take a look at the current operations and functions of the artificial intelligence industry.

4. Breaking the Opaque Barriers of Artificial Intelligence

Comparing the comprehensive reform of the financial system by cryptocurrency with the intelligent revolution of artificial intelligence systems, we can find some very relevant similarities and reasons for the combination of the two.

Currently, many artificial intelligence companies like OpenAI, Google's Deepmind, Anthropic, and others are conducting their research and operations behind closed doors.

5. Current Opportunities in the Intersection of Cryptocurrency and the Artificial Intelligence Field

Now that we have introduced some basic knowledge about the interaction of artificial intelligence and cryptocurrency, we can take a closer look at some leading projects in this field. Although most of these projects are still actively working to launch their networks, gain loyal user bases, and attract broader attention from the cryptocurrency community, they are at the forefront of the rapidly growing industry and are good representatives of this field.

1) Bittensor, a decentralized artificial intelligence model network:

Bittensor is a popular decentralized artificial intelligence network project. Its goal is to democratize the field of artificial intelligence by creating multiple decentralized marketplaces or "subnetworks," enabling it to compete with large super companies like OpenAI. The network is managed by miners and validators, with miners submitting AI models and receiving rewards, and validators ensuring the accuracy of the models. Users interact with the network through validators and receive answers by distributing the output of miners.

Unlike other institutions, Bittensor relies on decentralized mechanisms for model development and adopts a unique Yuma consensus structure to allocate resources to different subnetworks. This structure aims to improve the quality of AI models and drive the decentralized application of AI technology.

2) Akash, an open-source supercloud platform:

The Akash Network is an innovative open-source supercloud platform designed to buy and sell computing resources securely and efficiently. At its core is a reverse auction mechanism, where users can bid for computing needs, and providers compete to offer services, often at significantly lower prices than traditional cloud systems. Based on reliable technologies such as Kubernetes and Cosmos, Akash ensures a secure and reliable application hosting platform. It uses a YAML-based Stack Definition Language (SDL) to define infrastructure, allowing users to create complex deployments across multiple regions and providers.

Akash also provides a persistent storage solution, ensuring data retention even after a restart. Overall, the Akash Network is a decentralized cloud platform that offers a unique solution to the monopolistic nature of current cloud service providers.

3) Render, a platform for expanding access to computing resources:

The Render network utilizes unused GPU cycles to connect content creators in need of computing power with providers who have available GPU resources. This is achieved through blockchain technology, ensuring the secure and efficient processing of GPU tasks, including AI-driven content creation and optimization. The Render network supports AI-related tasks, providing artists with AI tools to generate resources and enhance digital artwork, while managing art collections and optimizing rendering workflows. This ecosystem, based on the RNDRToken, facilitates the trading of rendering services, bringing new possibilities for creative expression and technological innovation in the digital media field.

4) ensyn, a decentralized computing platform:

Gensyn is an AI and cryptocurrency project focused on addressing the computational challenges and resource constraints of modern AI systems. The project aims to efficiently utilize global computing resources by creating a decentralized blockchain protocol, overcoming the massive resource constraints required to build foundational AI models.

The background of Gensyn shows that the computational complexity of AI systems has exceeded the current available computing supply. For example, training large models like OpenAI's GPT-4 requires a significant amount of resources, leading to significant barriers. Gensyn's solution is to create a decentralized protocol that connects and validates off-chain deep learning work, addressing challenges such as work validation, market dynamics, and privacy.

The protocol rewards participants for contributing computing time and executing machine learning tasks, and employs various technologies to validate completed work. Gensyn aims to establish a transparent, low-cost machine learning computing market, making AI resource access more democratic.

5) Fetch is an open platform in the field of AI economy:

Fetch is an AI and cryptocurrency project aimed at changing the way economic activities are conducted. At its core is an AI agent that can autonomously connect, search, and transact. Fetch enables traditional products to have AI capabilities and also introduces the Agentverse service, simplifying the deployment of AI agents. Through Large Language Models (LLMs), Fetch has established an agent service platform, providing search and discovery capabilities, enhancing the effectiveness of AI agents.

Additionally, the platform offers hosting services and an open network to facilitate the integration of blockchain technology with agent addressing. Fetch combines AI agents with blockchain technology, opening up new possibilities for automating and optimizing various processes.

6. Summary and Outlook

The integration of artificial intelligence and blockchain technology represents significant advancements in both fields. This integration is not just a fusion of two cutting-edge technologies, but a transformative synergy that redefines the boundaries of digital innovation and decentralization. The integration potential explored in projects like Fetch.ai, Bittensor, Akash Network, Render Network, and Gensyn demonstrates the enormous potential and significant benefits of combining the computational power of artificial intelligence with the secure and transparent framework of blockchain.

Looking ahead, it is evident that the integration of artificial intelligence and blockchain will play a key role in shaping various industries. From enhancing data security and integrity to creating new models of decentralized autonomous organizations, this integration promises more efficient, transparent, and accessible technology. Particularly in the field of DeFi, the emergence of decentralized artificial intelligence (DeAI) may democratize AI technology, breaking down traditional barriers that favor large enterprises. This could lead to a more inclusive digital economy, where individuals and smaller entities can access AI tools and services that were previously out of reach.

This technological integration can address urgent challenges in both fields. Blockchain can address the data silos and massive computational demands in the field of artificial intelligence, while artificial intelligence can improve blockchain efficiency, automate decision-making processes, and enhance security. Continuing to explore and leverage this synergy is crucial for driving innovation in the digital domain, and will contribute to the development of both fields, benefiting society as a whole.

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