Grass's new progress: from idle mining to AI development platform, creating basic tools in the AI gold rush

author:Aylo

Compiled by: Xiaobai Navigation Coderworld

The real gold rush is AI data, and one project is building the basic tools for this "gold rush".

Imagine if you could invest in a company that is quietly emerging and has the potential to become AI Crypto projects in the field of "Google"...

In yesterday's Discord live broadcast,@0xdrej Shared @getgrass_io The biggest highlight is that GrassXiaobai Navigation We are moving toward a transformative AI development platform that has the potential to unlock enormous potential value.

The following are the core contents of the seminar:

• Massive data advantage: Grass has indexed more than 3 billion video data, which far exceeds the 200 million video data used by companies like NVIDIA to train top video models. This gives Grass an unrivaled multimodal dataset.

• Technology Upgrade: With the Scion upgrade, Grass's data retrieval efficiency and scale have been significantly improved. After the upgrade went online, the amount of data captured increased significantly. The second phase of the upgrade will further expand its capabilities.

• Semantic Multimodal Search: Grass is about to launch semantic multimodal search across its massive data index. This means users can efficiently search and extract video, audio, and image snippets that are highly relevant to their needs. Currently, no other platform can achieve such capabilities at the scale of Grass.

• Future-proofing: As AI moves toward multimodal models in areas such as robotics, the demand for specialized datasets will continue to grow. Grass’ unique strengths in this area make it an ideal platform to meet this demand.

• Vertical Integration: Grass plans to develop from a data retrieval network to an end-to-end AI development platform for training models. In addition, they may open source some powerful models they have developed to provide more support for developers.

• Hardware Innovation: Grass is exploring new ways to distribute nodes, including dedicated hardware technology. This innovation could bring disruptive changes, allowing Grass to achieve what only a few companies can do now - loading web scraping scripts directly onto hardware, greatly improving efficiency. If successful, this will further consolidate Grass' competitive advantage in cost and scale.

• Platform Extensions: The workshop also revealed an upcoming new product that will introduce "horizontal expansion" and "change the dimension of how you look at Grass." Although specific details have not yet been announced, this indicates that Grass is developing an important expansion function that may open up new application scenarios and markets.

Overall, Grass is building critical infrastructure for the next generation of AI—including large-scale multimodal datasets and efficient scaling solutions. As the demand for specialized models like NVIDIA's continues to grow, Grass is poised to become the platform of choice for developers to easily search and fine-tune custom datasets.

If Grass can realize its vision, its potential value creation will be huge. It will provide "basic tools" for the wave of multimodal AI and become a key player in this technological revolution.

From web development to robotics, nearly every field will try to take advantage of this technology, and Grass is expected to occupy a major position in this trillion-dollar market.

Imagine you are designing a robot that needs to understand the world around it. To achieve this goal, the robot needs to be trained not only with text data, but also with image, video, and audio data. This is called "multimodal" data, and Grass is providing core support for this need.

Today's large AI Although models are capable of handling multimodal data, their functionality is often too general.If you want your robot to excel at certain specific tasks, like identifying different kinds of fruit or navigating in a warehouse, you need to fine-tune your model using specialized datasets for those tasks.

This is where Grass comes in. They have indexed a massive amount of multimodal data from the Internet, including billions of images, videos, and audio files.But what is truly disruptive is their upcoming “semantic multimodal search” feature.

So-called “semantic multimodal search” allows you to search for data not only by keywords, but also by the actual meaning of the content. For example, if you need videos about robots picking up apples, you can find exactly those videos, not just those that mention “robot” and “apple” in the description.

The significance of this capability is that no other platform can currently provide such precise and content-aware search at the scale of Grass. As more and more companies and developers want to apply AI to fields such as robotics, they will need these specialized datasets to make AI more efficient. And Grass was born to meet this need.

Of course, Grass also faces execution risks and fierce competition in this field. However, Grass's data scale, decentralized efficiency, and semantic search capabilities give it a unique advantage in the competition. The seminar also revealed that they are developing a new horizontal expansion product, which will further expand Grass's application scenarios and market space.

Overall, Grass is still in the early stages of development.This reminds me of Chainlink in 2018/2019, when it gradually showed great potential as a key infrastructure to unlock global DeFi. Grass's vision and positioning are similar to Chainlink, and it is committed to unlocking multimodal data for AI developers and enterprises, which may create huge value for the world.

Currently, Grass stores 0.5 PB of data per day, and this number may soon grow significantly. As you can imagine, storage costs are very high, so the protocol must generate enough revenue to cover these costs (a lot of data capture is done based on customer demand).

In the AI and crypto space, I have yet to see another protocol that has both a product that is actually paid for by Web2 AI customers and the ability to continue to innovate and deliver technology to unlock new value for AI like Grass. While there are some interesting AI agent platforms on the market (I own some of them), they are still in a more speculative stage (more like "casino logic"). Grass's LCR product will also provide services for AI agents.

If Grass succeeds, its future potential is limitless. It is expected to become a landmark technology platform in the field of AI. The next 6 to 12 months will be a critical period because Grass needs to seize the current leading edge. If it can achieve this goal, the current market value will seem insignificant in a few years.

Disclaimer: The above does not constitute investment advice. I am a holder of Grass. Although I am full of expectations for its prospects, I also need to recognize the existence of execution risks and potential challenges.

The article comes from the Internet:Grass's new progress: from idle mining to AI development platform, creating basic tools in the AI gold rush

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