The popularity of ChatGPT has boosted the old topic of "AI+blockchain". Which key areas are worth paying attention to?

Recently, an artificial intelligence chat program called ChatGPT has become popular, making the concept of AI popular. The program has gained 100 million users in two months, and its daily active users have exceeded 10 million recently. ChatGPT's phenomenal performance has made AI one of the hottest topics in the technology circle in 2022. A number of technology giants have also continued to increase their investment in this field. Recently, Microsoft has reported that it will invest billions of dollars in OpenAI, the company to which ChatGPT belongs. The continued fermentation of AI's popularity has also triggered a short-term rise in related concept assets. The cryptocurrency market is no exception. The concept of "Web3+AI" has attracted market attention. According to CoinMarketCap data, the total market value of concepts related to AI and big data tracks once reached 5 billion US dollars.

This article will briefly discuss the application scenarios and cases of artificial intelligence in blockchain.

1. Blockchain games - AI-driven NPCs enhance game immersion

For a long time, the interaction between NPCs in games and players has been relatively mechanical and programmed, and fixed and boring behavior patterns have always been criticized by players. AI-driven NPCs may be a good solution to improve this pattern. Mirror World is a world composed of multiple game matrices. There are AI-driven virtual lives called Mirrors in the game, and the character assets are completely interoperable in each game. Mirrors have the ability to generate autonomous behaviors and can have different behaviors and dialogues with players in specific environments. The content they produce is richer than traditional NPCs. The randomness and logic content generated by the combination of NPCs and artificial intelligence in blockchain games not only strengthens the player's conviction in human-computer interaction, but also enhances immersion.

2. Artistic creation: Artificial intelligence helps to upgrade imagination and creativity

Although there have always been voices against "human-machine coexistence" in the art world, when artists encounter bottlenecks, some creators can use artificial intelligence to inspire inspiration or create directly. Whether as a creator or an assistant, it is common in the crypto field for artists to collaborate with artificial intelligence to generate artworks. The most famous one is AI-generated art: Art Blocks. In addition, there are relatively typical cases of the application of artificial intelligence's creative ability in the fields of music, images, and animation.

(1) Music: The WarpSound music brand under Authentic Artists directly uses AI to create virtual and real interactive music. Its Genesis NFT series WVRP is all music created by AI.

(2) Image: An AI avatar generator called CharacterGPT on the Polygon chain can cast its generated images into NFTs.

(3) Animation: AI-assisted 3D animation Kinetix helps Web3 content creators generate 3D animations without learning code.

3. Cryptocurrency trading - from limited-time manual to 24/7 automatic

The huge returns in the crypto industry have attracted the attention of traders around the world. Although mainstream exchanges currently provide certain quantitative tools for traders to arbitrage, their intelligent trading operations may not be as accurate as AI-driven ones in extreme cases, and there are many restrictions. Take the AI ​​crypto trading application provided by Sumo Signal as an example. The application provides users with unique AI-driven arbitrage trading indicators, and has a special AI algorithm to select trading strategies to help users maximize profits while minimizing risks. In addition, investors can also benefit from Numerai, an artificial intelligence hedge fund that uses machine learning to predict the stock market. AI-driven crypto trading not only avoids the expansion of losses due to traders' overly emotional behavior, but also helps users automatically implement complex strategies such as hedging and arbitrage from cryptocurrency price changes around the clock.

4. E-commerce - achieving sustainable business operations

In a long article titled "Generative AI, the Next Consumer Platform", a16z believes that one of the most fruitful vertical fields for current artificial intelligence tools is e-commerce, and when "Web3 + artificial intelligence" tools are applied to the e-commerce field, they can attract more shoppers and improve their retention rate. Web3 fashion solution provider Bold MetricsBold Metrics uses the old AI body modeling technology and data-driven methods to help customers choose clothing with the right fit and size online; using AI guidance, it makes clothing purchases more personalized for consumers, and also reduces processes such as returns due to poor offline experiences. In addition to the clothing field, "Web3 + artificial intelligence" tools can be used in multiple e-commerce fields. On the one hand, it can help e-commerce companies reduce costs, and on the other hand, it can attract more young generation customers by strengthening online experience, helping companies to increase revenue and reduce costs for sustainable operations.

5. On-chain security - find and fix vulnerabilities

Vulnerability exploits and hacker attacks in the blockchain field have caused ordinary users to suffer asset losses. In recent years, the common point of these attacks is that the maintenance team is unable to respond in time when vulnerabilities are discovered. Among these malicious security incidents on the chain, there have even been group robberies such as Nomad Hack. AESIRcrypto co-founder @CryptomatonBlog believes that introducing neural networks and ensuring that the blockchain is always aware of all transactions and giving AI agents power can make on-chain security impeccable. When the blockchain's intelligent layer acts in the best interests of the chain, it is hoped that such attacks will become a thing of the past.

6. Media - Eliminating the trust crisis and information cocoon

In the era of traditional online social media, there are common problems such as rumors and platform algorithm recommendations that narrow the user's vision. Although these problems have been delayed in Web3 social media, they have not been completely solved due to management issues. The AI-driven Mindplex magazine, co-created by SingularityNET and Mindplex, attempts to overcome this dilemma. The magazine has established an AI reputation engine to constrain itself to speak carefully by giving creators and user activities reputation points (reputation points will affect their influence). In addition, Mindplex's artificial intelligence recommendation engine will also push some alternative views or content based on user-favorite content, so as not to let the audience fall into too many "filter bubbles". Taking Mindplex as an example, AI-driven media can not only eliminate the crisis of trust in the media itself, but also break the information cocoon brought by algorithms to the audience.

7. Medical - Providing high-value correlation matrix data sets

In the field of biological sciences, Vectorspace has built a real-time protein relationship network, the core of which is composed of language models developed by DeepMind's AlphaFold2 and OpenAI's GPT-3, including the mathematics of predicting knots to predict how proteins fold based on amino acid sequences. Through language modeling, hidden relationships between human proteins associated with stressors can be detected, such as blood anemia and mitochondrial stress, muscle atrophy, and eye pressure caused by microgravity. Vectorspace uses a combination of language models based on NLU (natural language understanding) to generate feature vectors with key/value pairs representing score attributes, and then converts the vectors into related matrix data sets to generate clusters, graph networks, and relationship networks.

Overall, the "Web3+AI" track is still in its early stages, and most projects in this track are still in the development stage. The current popularity is more like a hype to follow the popularity of ChatGPT, and even some projects that temporarily join the AI ​​camp will be hyped up. However, pessimism at this stage does not affect optimism in the future. PwC predicts that by 2030, artificial intelligence will contribute $15.7 trillion to the global economy and will help global GDP grow by 14%. The huge potential of AI gives us the opportunity to see a blowout growth in the application of "Web3+AI" in the future, and look forward to a more large-scale combination of Web3 and AI.