Main

• In this series of articles, we provide a brief overview of our team's research, with a more complete description provided in their reports.

• This article provides a brief overview of a recent Binance Research report that examines the intersection of artificial intelligence (AI) and cryptocurrencies.

• There are not many examples of the use of AI in the world of cryptocurrencies yet. But now this industry is at an early stage of development, and we can count on great potential in this area.

Binance Research offers industry analysis of the processes shaping the Web3 world. We bring current knowledge from the field of crypto research to our community. If you want to dive deeper into this topic, check out the full reports on Binance Research.

AI, blockchain and cryptocurrency are examples of disruptive technologies. Each revolutionized their field and opened up whole worlds of possibilities that we have yet to explore.

There are currently several areas where AI can be integrated with cryptocurrencies, improving existing processes and providing a range of benefits. AI usually plays a supporting role in improving the overall user experience. However, as with any new technology, there are both benefits and risks to be aware of.

Today we'll explore the intersection of the worlds of artificial intelligence (AI) and digital assets: looking at the benefits, challenges, and key use cases by sector.

Ecosystem Overview

Although AI has only recently gained widespread popularity thanks to large language models such as OpenAI's ChatGPT, developers have been working on the underlying technologies for decades. Despite this, we are still in the early stages, and much work needs to be done to make AI widespread and unleash its full potential. In particular, the intersection of AI and blockchain opens up many new opportunities.

The scale of application of artificial intelligence in cryptocurrencies is growing rapidly. Today, this technology is used in many aspects of the cryptocurrency space and generally plays a supporting role in improving the overall user experience.

Ecosystem Overview

Source: Binance Research

In general, the AI ​​ecosystem in cryptocurrencies can be divided into two parts: smart ledgers and AI-powered services. In this context, smart ledgers are networks that use AI to automate tasks and track them on the blockchain. Along with these, there are AI-powered services—products that use AI to provide various useful services to users.

Benefits and challenges associated with artificial intelligence

We have identified the following advantages of using AI in the world of cryptocurrencies at the current stage:

• Increased efficiency: AI helps automate tasks and decision making, increasing efficiency and productivity.

• Improved Analytics and Insight: AI makes big data analysis easier by providing additional validation for improved accuracy. Analyzing huge amounts of data is often time consuming; AI also helps optimize this process.

• Improved risk management processes: AI helps detect risk indicators and improves risk management in a variety of areas - from additional smart contract auditing to automating risk monitoring processes.

Of course, the introduction of any new technology is accompanied by new problems. Some of the major challenges facing the current AI ecosystem in the digital asset space include the following.

• Limited Adoption: AI-focused cryptocurrency DApps have gained some popularity, but only among a small group of power users. It is clear that this is a relatively young area, but the key to wider adoption is the emergence of many examples of real use.

• Practical Use or Proof of Concept: While various AI integration projects are actively developing in this area, many of them are still at the proof of concept stage. A key factor driving popularization and growth in this field is the availability of usable products.

• Focus on data privacy: Given AI's reliance on large amounts of data, privacy is critical, especially when it comes to how information is used and protected. The role of rules for the protection, use and security of data cannot be overestimated.

• Technical challenges: Integrating AI with blockchain technology is often a technical challenge, requiring project teams to have expertise in both areas. The development of common standards and further research in these areas will help stimulate innovation.

DeFi Application Scenarios

In the decentralized finance (DeFi) space, we are seeing AI augment smart contract auditing processes, facilitate trading automation, and be used in conjunction with predictive analytics to make forecasts more accurate, among other innovative benefits. Let's take a closer look at the first two scenarios.

Smart contract audit

A smart contract audit involves reviewing and analyzing the smart contract code to look for potential vulnerabilities or technical problems. Auditing is a standard security measure for projects across all sectors of the cryptocurrency ecosystem. It is especially important in the DeFi space, given the volume of funds secured by smart contracts.

AI complements the smart contract audit process. For example, artificial intelligence tools identify potential red flags during the initial security check. Experts can then analyze these potential vulnerabilities, propose solutions, and conduct additional checks if necessary.

Essentially, AI acts as an additional reviewer in the audit process.

Case Study: ChatGPT

ChatGPT generates responses to queries in natural language, just like a human would, and helps automate various tasks. Developers are conducting experiments to evaluate its capabilities and, in particular, to understand whether it can be used to improve smart contract code.

In one such experiment, CertiK, a blockchain security company, compared an audit conducted by ChatGPT with an audit conducted by a human. It turned out that ChatGPT correctly pointed out a number of common security problems, but failed to deal with more complex issues.

Security Audit: ChatGPT vs. Human

Source: CertiK

These results show that while AI models such as ChatGPT can help identify common problems, they are not capable of running on their own and are best suited as a complement. Manual auditing by security experts is still required for comprehensive and accurate analysis.

Intelligent trade automation

Monitoring DeFi trading positions can be a challenging and time-consuming task, especially during periods of market volatility. Although trading bots have been around for quite some time, they can be significantly improved with the help of artificial intelligence. The development of AI and integration with DeFi opens up access to additional features and more complex tools.

Overall, smart automation can improve the DeFi user experience by streamlining complex processes and making them more intuitive. Through this, such tools can help popularize DeFi applications.

NFT Application Scenarios

In the NFT sector, AI is being used for generative art, creating smart and interactive NFTs, and as a tool to optimize data analysis and other innovations. We will take a closer look at the first two scenarios.

Generative art

Generative art is the creation of artistic works using an autonomous system. Several NFT projects have already used AI for this purpose. The creator sets parameters, rules, or constraints—such as patterns, colors, shapes, etc.—then the AI ​​generates art objects based on these parameters.

Generative art powered by artificial intelligence allows creators to create unique works that can be infinitely scaled while maintaining a consistent style throughout the collection.

Case Study: Bicasso

Binance's Bicasso project is an AI NFT generator that allows you to create unique AI-generated images by simply uploading text or a picture into the system. It uses artificial intelligence algorithms to generate images based on patterns and characteristics of the input data.

To be more specific, you can specify details such as color scheme, composition, or elements that should be present in the artwork. If the user is happy with the result, they can release the artwork in NFT form on the BNB Chain.

By analyzing multiple data points, an AI image generator like Bicasso can create new, unique images based on the style and elements present in the source data. This technology has great potential for massively generating realistic images for games and films. It can also be used to create design prototypes.

AI Image Generation Using Binance Bicasso

Source: Binance

Some of the most notable NFT projects in the generative art space have been highly successful, with corresponding NFT collections selling for six-figure sums.

iNFT

Artificial intelligence allows you to turn static NFTs into intelligent NFTs (iNFTs) that can interact with you. Essentially, iNFT technology brings base NFTs to life using the generative powers of artificial intelligence.

iNFTs are a combination of AI and NFT technologies that enable the creation of interactive tokens with intelligent properties and conversational capabilities. With the help of artificial intelligence, such tokens are able to analyze data, learning and developing their personality based on real-time interactions. The principle is that AI allows iNFTs to adjust further interactions and their identity based on new metadata.

This could have a significant impact on the future of Web3 games and metaverses in general, where game characters will become much more interactive and communication will become much more natural.

Thoughts about the future

The combination of revolutionary technologies such as AI and blockchain opens up vast opportunities and many potential use cases. All this has already forced us to take a new approach to the use of technology and to solving old problems.

However, it is important to note that while the conceptual use cases appear promising, crypto AI projects have yet to fight for widespread adoption. This means that such projects can be a useful addition without being an absolutely necessary element - at least given the current level of innovation in this area.

At the same time, new technologies need time to develop and gain a place in the sun. Looking ahead, further development of AI technologies and cryptocurrencies may lead to the emergence of new use cases with benefits for various participants in the ecosystem. One can only guess what opportunities will open up for Web3 users at the intersection of AI and cryptocurrency.

Binance Research

The Binance Research team offers objective, independent, and comprehensive analysis of the cryptocurrency world. Our experts publish in-depth content on topics related to Web3, the cryptocurrency ecosystem, blockchain applications, the latest market developments, and many other topics.

This article is an excerpt from a report that provides in-depth analysis of further use cases and real-life examples in the DeFi and NFT sectors, decentralized autonomous organizations (DAOs), and more. It also examines the potential of AI in the cryptocurrency space and provides insights from thought leaders. This comprehensive and exclusive material is definitely worth your time to read.

You can read the full version of the report here. Other in-depth reports covering the world of Web3 are available in the Insights & Insights section of Binance Research. Don't miss the opportunity to learn something new through exploring the world of cryptocurrencies!

Additional Information

• Startup Binance Research

• Binance Research 2.0

• Binance Research: Top Trends in the Cryptocurrency World - May 2023

General Disclosure: This material has been prepared by Binance Research and is not intended to make predictions or serve as investment advice, and is not a recommendation, offer or solicitation to buy or sell any security, cryptocurrency or engage in any investment strategy. The terms used and information provided are intended to promote awareness and responsible development of the sector and should not be interpreted as the definitive views of Binance. The views expressed are as of the date stated, are the personal opinions of the author and are subject to change as conditions subsequently change. The information and opinions in this material are obtained from our own and third-party sources that Binance Research believes to be reliable. The data provided is not necessarily all-inclusive and is not guaranteed to be accurate. Binance makes no guarantees of accuracy or reliability and assumes no liability for errors or omissions (including liability to any person due to negligence). This material may contain “forward-looking” information that is not necessarily based on historical data and may include, but is not limited to, projections and predictions. There is no guarantee that any of these predictions will come true. Reliance on the information provided in this material is solely at your own discretion. This material is provided for informational purposes and does not constitute investment advice, an offer or solicitation to buy or sell any securities, cryptocurrencies or to engage in any investment strategy, and does not offer or promote any securities or cryptocurrencies to any person in any jurisdiction in which offer, solicitation, purchase or sale would be unlawful under the laws of this jurisdiction. Investments involve risks.