Grass: Why should I connect my Solana wallet address to my Grass account?

Original source: Grass This is a big moment not just for Grass, but for the AI ​​industry as a whole. Our plan has always been to revolutionize the development of artificial intelligence, and the importance of this update is:

Users will receive corresponding rewards for contributing resources

Grass network is able to track each node from Data scraped from the web. When this data is used for AI inference or training, there will be a clear link linking the scraping behavior to the data set. When each node is associated with a wallet address, we are able to distribute the value of the AI ​​back to the specific node that provided the data.

1. This is a step towards a completely decentralized method of tracking resource usage. These records cannot be manipulated or hidden by any company, which means that AI will be more fair and just, and individual users can actually get a share of the benefits. Considering you’re already providing these resources to the company for free,

   the only difference is that now you’ll actually be rewarded.

Laying the foundation for transparency of AI training data sources

Through this function, the network will not only track which node grabbed which data set, but also track the specific source of the data set—— That is, where on the network the data comes from. The moment a data set is crawled, the network will automatically compile the metadata of its source and the node that crawled it, and record them in batches on the chain to form a permanent record of the data source. This is a feature not found in other data provisioning solutions, and we believe it’s a critical piece of the puzzle to solving the biggest problems in AI today.

2. Make AI more transparent and fair and reduce its centralization

Think about the biggest issues affecting AI right now.

For developers

, there is no way to ensure that the data set you use is not contaminated unless you re-crawl it yourself to confirm.
3. For the user

   , there’s no way to tell if the agent you’re interacting with is biased unless you can see the data the developer chose to use to train it. And for everyone, we run the risk of a few companies dominating AI and forming a monopoly on the most important technologies.

   Grass aims to solve all these problems. Developers no longer need to worry about data contamination when they can verify without a doubt that a data set comes directly from the intended source. When this information is publicly available for a single model, users can know without a doubt whether they are being presented with real information or fake news. Most importantly, when a system is created to distribute the value of AI to millions of people working together to operate a network, rather than a handful of large companies, we can work together to make it more equitable and less exploitative.

Other developments

In addition to its positive impact on training data acquisition, Grass also breaks technical barriers by introducing Live Context Retrieval. This refers to grabbing data in real time at inference time to provide context for the LLM. This is a feature currently under development and does not exist elsewhere yet, we will release more information soon.

We believe a better world is possible and the future is now. There’s still time to save AI, and we’re committed to it. The mission is underway. Thanks to all users for their vision and support of Grass.

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