In a recent tweet, OKX, one of the leading cryptocurrency exchanges, hinted at the potential listing of $GRASS. The tweet playfully mentioned that the exchange has finally decided to touch some grass. It suggests that OKX might soon follow Binance in listing this emerging digital asset. Binance had tweeted similarly several times before.
$GRASS is still at the farming stage and has not been launched yet. At present, it is in epoch 7 of its farming period. Epoch 7 is reportedly the last farming epoch of Grass. $GRASS is an Artificial Intelligence web crawling project built on the Solana network. In the recent past, Grass revealed the last epoch of its closed beta version. In this beta phase, Grass was able to prove that it could get to 100$ of the web, an achievement accomplished only by two firms. Due to this capability, Grass is in a position to capture and fully control the value created by its AI development.
The Grass network has already been joined by two million users, and the number is expected to increase rapidly in the future. In June, Grass stated it would employ Solana to streamline the process of issuing rewards to every node in the network.
Grass is a decentralized web scraping platform where users can sell their idle internet connection. This collected bandwidth is then used to pull raw data from the Web to be converted into AI datasets. These datasets are particularly useful for AI developers and researchers who need large amounts of training data for their algorithms.
Grass uses an AI development tool known as Socrates developed by Wynd Labs as its core technology. Socrates is best at gathering unstructured data from the web and structuring it so that it can be read easily. Therefore, Grass can be viewed as an AI data warehouse that feeds other AI systems with the required data for model training.
Lastly, the current possibility to list the $GRASS token on OKX can greatly contribute to the project’s popularity and usage. If more exchanges decide that $GRASS needs to be listed, its adoption will only spread throughout the crypto and AI spheres. This evolution points to the increasing demand for decentralized approaches for data gathering and AI model training.