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Author: Arjun Chand, Bankless; Translation: 0xjs@作
AI Smart (you may call it a robot) become more and more active in DEFI.
Now, many people believe that AI Smart may become most of the encrypted currency user base in the next few years.Do you know how we always talk about attracting one billion new users?Well, with the emergence of the artificial intelligence protocol, these billion users may actually be just AI intelligence.
Today, we have studied the existence of AI Smart in DEFI, discussed the various roles they have already played in the ecosystem, and determined that they can quickly track their development.
Let’s take a closer look.
AI Smart is DEFI’s future super users
Vitalik’s recently published blog posts on cryptocurrencies and artificial intelligence have excited many AI enthusiasts.However, if you are still keen on technology, you may have understood the key theme of Vitalik’s real use case: AI is a player in the game.
AI has become an important part of the DEFI game.Let’s see the seven most interesting applications of their most interesting:
1. MEV arbitrage robot
These robots aim to use chain arbitrage opportunities generated by transactions in the blockchain.Example: Jaredfromsubway.etH, a MEV robot, is one of the top entities traded on Ethereum, with the name of the exchange such as Binance every day.
The MEV robot is one of the most active participants on the chain.From digging NFT coins in a few seconds to new tokens that have been traded on the market, anywhere in the ecosystem, users are confronting these MEV robots.
Real story: After a friend recharged 5 ETHs to his Friend.tech wallet, the robot detected the deposit in a few seconds and started to aim at his key.His key price soared and then plummeted (because the robot quickly realized that he was unwilling).All of this is expanded within a few seconds, showing the amazing speed of MEV robots -ordinary users cannot compete with them.
MEV robots earn about $ 2 million by sniper KEY on Friend.tech
2. Telegram robot
These trading robots aim to perform various operations related to encrypted asset transactions.They provide users with the convenience of trading any tokens (even your favorite Meme currency) on Telegram.Example: The number of TG robots such as Unibot and Banana Gun is reaching a record high in transaction volume.
3. Being a market business robot
These robots provide liquidity for the market on the chain.They do this by issuing buying and selling orders for specific assets or becoming LPs in liquidity pools.This type of robot use algorithm to determine the best price point for their orders is to profit from the price difference (the difference between buying and selling prices), while maintaining market efficiency.Example: MM robots on AMM (such as Uniswap and “Bridge -based Bridge”).
4. Robots in the game
Robots are very common in conventional games, especially as non -player characters (NPC) and opponents (think of FIFA).However, in the field of blockchain games, they have just begun.A cool example is the colony of Parallel. In this game, the AI -driven body has its own wallet and interacts with each other.
5. Robots in social applications
Frenrug is an AI intelligent body built by RitualNet. It chats with users on the application and buys and sell users based on the interaction with the user.Just like the NPC in the game, but this will not walk aimlessly.These robots have additional functions of real -time execution chain transactions, making the in -application experience more interactive.
6. Forecast analysis robot
These AI robots use past data and market signals to predict market trends and price changes.These are sometimes combined with trading robots to buy and sell according to analysis.Example: Numerai and Subnet 8 (predictable subnet) on Bittensor.
7. Predict the AI intelligence in the market
Vitalik emphasized in his recent blog post that Omen is a predicted marketing platform. Different AI intelligence (market creation of smart parties, AI MECH, and transaction intelligence) collaborates.They create, analyze and trade in the market, predict events in politics, sports, asset prices, etc., similar to Polymarket, but have artificial intelligence participation.
After studying different types of AI intelligence in the ecosystem, let us discuss some basic protocols now. These protocols laid the foundation for building the AI Intelligent Revolution:
Bittersor
Bittersor has established a dynamic and open market, combining various machine learning models to form a interactive machine intelligent neural network.Other participants in the network can use the grid of this machine learning model by constructing a subnet.These subnets are special agreements for artificial intelligence for different cases.
At present, the Bittensor ecosystem has 32 subnets.Each subnet can be regarded as an active market for AI Smart. It is called a subnet miner in the Bittensor ecosystem. They participate in and solve continuous inspiration -based competition issues.For example, in the Ziwang 8 (“Prediction Ziwang”), the mines of the subnet race predict the future price trend of financial markets such as Bitcoin.
Autonolas
Autonolas stack supports the development of crypto native autonomous services that continuously run and perform operations by themselves.These smart services act as multi -intelligent body system (MAS), with multiple AI intelligence collaboration to perform complex functions.
For example, people can build an AI intelligent body for predicting the market on Autonolas, called “predictive smart”.This smart body can use customized data analysis strategies to program to help decision -making and actively participate in the forecast market.
AI intelligence based on Autonolas has made progress in the DEFI field.A recent blog emphasized that more than 9% of SAFE transactions on the GNOSIS chain can attribute to autonomous services running on the OLAS network.Entering 2024, it is even more impressive -for many days, more than 75% of SAFE transactions on the GNOSIS chain are supported by AI Smart.The high participation rate of AI intelligence is a surprising detail, but many people have not noticed.A popular way they use on the GNOSIS chain is to act as an independent signature of SAFE multiple signature transactions.
DAIN (decentralized autonomous infrastructure network)
DAIN is a global network of AI intelligence, which aims to trade, interact and cooperate with each other.This is implemented through the Dain API. It acts as AI smart parties to communicate and collaborate to perform a standardized framework for complex operations.
Although DAIN’s website is currently under development, AI Smart has been built above its stack.Take ASSET Shield as an example, it is supported by Dain.It deploys ASSET Shield as an independent signature setting of multiple signature settings on Squads, thereby enhancing security.
Its working principle is as follows: AI Smart becomes part of the multiple signatures of Squads, and the programming is signed or rejected in accordance with specific rules.For example, AI Smart may automatically prevent any transactions or labels that look suspicious of more than 1000 SOL.The standard of suspicious transactions is set by the user, which may be similar to the logic of Rabby Wallet to remind users of suspicious transactions -for example, when you handle a new website, it will prompt you to think twice before confirming.
Conclusion
The AI smart physical economy has arrived.The impact of artificial intelligence on cryptocurrencies is no longer a distant possibility; it is happening now.
With the maturity of the artificial intelligence infrastructure protocol, the development of complex AI intelligence and the application of its cross -use cases will only become easier.All signs indicate a possibility of excitement: AI Smart will become a unique catalyst in this bull market.
Once AI intelligence becomes a super user in the future of cryptocurrencies, we can expect the number of interactions, transactions and collaboration between them will grow in index level.This surge will require a lot of computing power and storage capacity.To meet these needs, the industry may seek decentralized physical infrastructure network (DEPIN) project.Akash, Filecoin, Genesysgo, IO.NET, Render, and Grass projects are running on the intersection of AI and computing, storage and bandwidth, which can play a key role in meeting the growing needs of AI intelligence.
