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Introduction
Grass is a decentralized data layer built specifically for artificial intelligence that enables users to share their Internet bandwidth and obtain verifiable network data through a distributed network. This is achieved by leveraging idle internet connections of node operators to collect raw data, which is then processed for AI training purposes. GRASS Total supply: 1,000,000,000 Website: https://www.getgrass.io/ X: https://x.com/getgrass_io Discord: https://discord.com/invite/getgrass
I. Project introduction Grass is a decentralized data layer launched by Wynd Network, designed to support artificial intelligence (AI) models. By allowing users to share their unused internet bandwidth, Grass enables individuals to collect and verify public network data through idle network connections of node operators. This data is then processed and used for AI model training. Users are rewarded with protocol native tokens by providing bandwidth. Grass not only changes the way users use idle resources, but also solves the accuracy and credibility issues of AI training data through transparent data processing solutions. The core architecture of Grass consists of two parts: Grass nodes and sovereign data aggregation system. Grass nodes allow customers to engage with the network and receive token rewards by contributing idle bandwidth; the sovereign data aggregation system includes nodes, routers, validators, ZK processors, and data ledgers, helping to transform unstructured network data into structured datasets. II. Project highlights 1. Decentralized network: Grass uses idle internet bandwidth to allow users to earn token rewards by sharing resources, creating a decentralized AI-supported infrastructure. 2. Data transparency and verification: Grass records the metadata of the data and stores it on the Solana blockchain to ensure that the source and authenticity of each dataset are verified, improving the transparency of AI Model Training data. 3. ZK processor technology: Grass introduces the ZK processor to achieve high-throughput web data request processing, and generates zero-knowledge proofs before submitting data on the chain to ensure the efficiency and privacy of data processing. 4. Sovereign Data Aggregation System: Through Grass's data ledger and ZK processor, AI companies can obtain trusted training data and verify its source, providing high-quality data for AI Model Training. 5. User-friendly: Users only need to download the Grass desktop node program, run it in the background, and receive token airdrops by contributing idle bandwidth. The operation is simple and does not require additional equipment. III. Market value expectations Grass ($GRASS) is a decentralized data layer launched by Wynd Network, designed to support artificial intelligence (AI) models. The goal is to provide high-quality training data for AI models by sharing idle bandwidth. Its core highlight is the decentralized bandwidth sharing and data verification system, which ensures data efficiency and transparency through ZK processor technology. Currently, the unit price of $GRASS token in the pre-market trading market is 1.09 dollars, with an initial circulation supply of 77 million coins and an initial circulation ratio of 7.7%, demonstrating its potential in the field of decentralized data infrastructure. In order to predict the future market value performance of $GRASS, we can estimate the market value and token price by benchmarking other decentralized computing and AI-related projects such as Dojo Protocol ($DOAI), iExec ($RLC), and Render ($RENDER). Benchmark project: Dojo Protocol ($DOAI) : AI blockchain network, with a token unit price of 0.00563 dollars and a circulating market value of $2,497,074.655. iExec ($RLC) : Decentralized Cloud Service network with a token price of 1.53 dollars and a circulating market value of $111,078,392.624. Render ($RENDER) : a provider of decentralized GPU-based rendering solutions, with a token price of 5.47 dollars and a circulating market value of $2,831,611,357.501. Assuming the market value of Grass reaches the levels of these benchmark projects, the expected price and increase of the $GRASS token are as follows: Benchmarking Dojo Protocol ($DOAI) : The circulating market cap is $2,497,074.655, and the $GRASS token price is about $0.0324 , which is a drop of 96.97% relative to the current price. Benchmarking iExec ($RLC) : The circulating market cap is $111,078,392.624, and the $GRASS token price is about $1.44 , which is a 1.32-fold increase relative to the current price. Benchmark Render ($RENDER) : The circulating market cap is $2,831,611,357.501, and the price of $GRASS token is about $36.77 , which is a 33.74-fold increase . IV. Token economy model The total supply of Grass token ($GRASS) is 1 billion, and its distribution method aims to promote the long-term development of the ecosystem and reward early supporters. Currently, the official has only publicly disclosed its airdrop details. The first batch of airdrops will account for 10% of the total supply and will be distributed to users participating in Closed Alpha and the first seven Epoches. Airdrop distribution: Closed Beta Test: 1.5% (15 million GRASS) Stages 1-7:7% (70 million GRASS) Bonus Stage: 0.5% (5 million GRASS) To be announced: 1% (10 million GRASS) In addition, the Grass Foundation will be responsible for managing quotas to ensure the decentralization and Sustainability of the Grass ecosystem. In the future, the Foundation will continue to distribute more token rewards to ecosystem builders and supporters based on contributions. Core value: Grass token is not only a tool to reward users for sharing internet bandwidth, but also represents users' control over the future of decentralized internet. Through the token Incentive Mechanism, Grass encourages more nodes to join the network, improves data collection and processing capabilities, and provides higher quality training data for artificial intelligence models. Token usage: Reward mechanism : Users receive GRASS tokens as a reward by contributing idle bandwidth. Ecosystem governance : Users holding GRASS tokens can participate in Grass governance decisions, voting on future quotas and development directions. Trade and use : GRASS tokens can be used to purchase and access data on the network, driving services such as AI Model Training. V. Team and financing Team Part: Andrej Radonjic - Co-founder Chris Nguyen Chief Technology Officer (CTO) Financing section: Series A financing Time: September 21, 2023 Main investors: Hack VC, Delphi Digital, Polychain, Brevan Howard Digital, Lattice Capital Seed round financing Time: December 18, 2023 Amount: 3.50 million USD Key investors: Polychain, Tribe Capital, Bitscale Capital, Big Brain Holdings, Typhon Ventures, Advisors Anonymous, Mozaik Pre-seed financing Time: July 4, 2023 Amount: 1 million USD Key investors: No Limit Holdings, Big Brain Holdings, Builder Capital, Cogitent Ventures, Kyle Samani, Neel Somani, Rahim Noorani VI. Risk Warning 1. Although the project encourages users to share bandwidth through the token Incentive Mechanism, if the value of the token cannot grow steadily or the user's income cannot meet expectations, it may lead to User Churn, thereby weakening the utility of the entire network. 2. Grass relies on decentralized networks and blockchain technology. If there are vulnerabilities in Technology Implementation, especially in node data collection, bandwidth sharing, and data transparency, it may lead to a decrease in network efficiency or data processing failure. In addition, the implementation of advanced technologies such as ZK processors also has high technical challenges and may face delays or security risks. 3. Grass involves the processing of user data and the sharing of cross-border Internet resources. Different countries and regions may have different regulatory policies on data privacy, Internet use and blockchain, which may bring compliance challenges to the operation of Grass, especially in terms of privacy protection and data transparency. VII. Official links Website : https://www.getgrass.io/ Twitter: https://x.com/getgrass_io Discord: https://t.co/K6TJbWECRJ
What is Grass (GRASS)? Grass (GRASS) is a decentralized network that takes unused internet bandwidth and uses it to gather information from the public web. This information is then used to train large language models (LLMs), which are AI algorithms capable of understanding and generating text, just like a human would. Grass is crucial in helping AI labs access the massive amounts of data required to create these models. Think of LLMs as the brain behind AI. They process billions of words and phrases from the internet to learn how language works. The more data they have, the smarter they get. Grass provides a continuous stream of public web data, ensuring that AI models stay up-to-date and improve over time. Who Created Grass (GRASS)? Grass is the product of a talented team of engineers and AI enthusiasts, but their individual names are not publicly known. Instead of focusing on the people behind it, Grass has built its reputation through its powerful technology and network. At the moment, Grass has attracted more than 2 million active nodes. What VCs Back Grass (GRASS)? Grass has generated a lot of excitement, and recently completed a $3.5 million seed round. This funding will help grow the network and make it even more powerful. The seed round was led by Polychain Capital and Tribe Capital, two major venture capital firms. Other notable investors include Bitscale Capital, Big Brain VC, Mozaik Capital, Advisors Anonymous, Typhon V, etc. With this impressive list of investors, Grass is set to make significant strides in the AI industry. These funds will help Grass expand its network, improve its data-gathering capabilities, and support its mission to train better AI models. How Grass (GRASS) Works Grass works by collecting unused internet bandwidth from users who choose to run a Grass node. A node is just a fancy term for the part of the network that handles data. People who join the Grass network allow the system to access their extra bandwidth, which helps AI labs collect data from across the web. This data is then processed and fed into AI models to help them learn. Here’s a simple way to think about it: Imagine you’re watering your garden with a hose. While you water your plants, there’s still a lot of water flowing through the hose that doesn’t get used. Grass takes that extra water (in this case, your unused internet bandwidth) and uses it to help grow massive fields of knowledge for AI labs to harvest. The Role of Public Data Grass collects public web data, meaning it scrapes information that is freely available on websites like Wikipedia, Reddit, and news sites. It’s important to know that Grass does not access your personal data or private information. Everything it gathers is already public and can be accessed by anyone with an internet connection. For example, AI models trained through Grass might analyze news articles to learn about current events, or social media posts to understand how people feel about a certain topic. The goal is to gather as much varied, real-world data as possible so that the AI can generate more accurate and relevant responses. One of the biggest advantages of Grass is that it taps into real-time data. While some AI models rely on static datasets (like old encyclopedias or textbooks), Grass gives access to constantly updated information. This means AI models can answer questions about current events, trends, and even cultural shifts. Large Language Models: How AI Learns from Grass To understand how Grass fits into the AI ecosystem, let’s take a closer look at how large language models (LLMs) work. LLMs are like the brains behind AI chatbots, translators, and virtual assistants. They are trained on huge amounts of text data to learn how language works and how different words relate to each other. This allows them to generate human-like responses when asked a question. But here’s the tricky part: Training an LLM takes enormous amounts of data. The more text the model reads, the smarter it gets. For instance, if an AI model is trained to understand everything written on Wikipedia, it can answer questions about any topic covered in those articles. However, to get even more accurate, the model needs to read from many different sources and keep up with constantly changing information. This is where Grass shines. Grass allows AI models to access up-to-date public information by using its network of nodes. The AI labs connected to Grass can then use this data to create better, more accurate LLMs capable of answering all sorts of questions, from simple queries about everyday life to complex scientific problems. GRASS Goes Live on Bitget Grass is an exciting new player in the world of AI, using innovative technology to gather public web data and train powerful large language models. With the backing of top investors and a growing network of nodes, Grass is changing the way AI labs access information and helping create smarter, more accurate AI models. As it continues to gain traction in the AI space, now could be an opportune moment to consider trading Grass on Bitget's pre-market. With its decentralized approach to gathering public web data and contributing to the growth of large language models, Grass presents an intriguing opportunity for those looking to invest in cutting-edge AI technology. Trading in the pre-market allows early access to potential gains as the project develops further. GRASS on Bitget Pre-Market GRASS is a part of Bitget Pre-Market, a platform where users can trade tokens over-the-counter before the token is listed for spot trading. Join now to get the best out of it! Start time: 15 October, 2024, 11:00 (UTC) Bitget Pre-Market offers flexibility in trading activities with two settlement options: ● Coin settlement, which uses a 'cash on delivery' method where a security deposit is forfeited if the seller fails to deliver. ● USDT settlement, a new option where trades are settled in USDT at the average index price at the last minute. To use Bitget Pre-Market, follow these simple steps: ● Step 1: Go to the Bitget Pre-Market page. ● Step 2: ○ For Makers: ■ Choose the desired token and click on ‘Post Order’. ■ Specify Buy or Sell, enter price and quantity, review details, then confirm. ○ For Takers: ■ Choose the desired token, pick ‘Sell’ or ‘Buy’, select the pending order, enter quantity, and confirm. For detailed instructions on how to use Bitget Pre-Market, please read Introducing Bitget Pre-Market: Your Gateway to Early Coin Trading Get GRASS on Bitget Pre-Market now! Disclaimer: The opinions expressed in this article are for informational purposes only. This article does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. Qualified professionals should be consulted prior to making financial decisions.
What is Grass? Grass rewards you for your unused internet. Grass makes the Internet a place where everyone benefits — companies and users alike. It achieves this by allowing verified businesses and research institutions to reward you directly for supplying the bandwidth* they need to enhance their products and services. Installing Grass takes just a few clicks, and once installed, you will be rewarded in network ownership for contributing your unused internet to the Grass network. What makes Grass so important is that, for the first time ever, network ownership is in the hands of individual users like you. By building a user-owned network, Grass gives you real influence in the internet economy. This is a shift from existing tech giants, where users do not have direct ownership in the products they use. The Grass network makes it possible for companies to reward you for supplying the bandwidth they need to make better products and services. The tasks companies perform with your unused bandwidth might include checking local prices, viewing regional ads, or academic research. Unlike the existing software on your devices that automatically shares your bandwidth, Grass lets you pause sharing whenever you want. And don’t worry, Grass will never interrupt your Internet experience. If you’re wondering whether this is safe, the answer is yes. We wrote a whole blog about how seriously we take your security and privacy here. Why Should You Care? Large corporations are already using your network without rewarding you. Did you know your internet bandwidth is being used by large corporations every day? Without you ever noticing, large companies use your idle internet to read information from public websites from your network’s perspective. Companies use your internet connection to access websites and gather information as if they were regular users, helping them check prices, monitor ads, and research content in different regions. It allows them to see websites the same way you would from your home. In the tech world, the product of allowing businesses to access the public web from the perspective of millions of internet connections such as yours is referred to as a “residential proxy network”. The catch? While corporations benefit from your network, you don’t see a dime. Most of us don’t read the Terms and Conditions for popular apps on our phones, computers, or Smart TVs, and companies take advantage of this by including specific language that allow them to use your devices "unused network resources." Companies profit from most of us not reading these long and boring legal documents. We believe that’s unfair. Why Didn’t a Solution like Grass Exist Sooner? Two reasons: the technology is new, and large corporations had no way of building it. The Internet as we know it prioritizes the interests of large corporations over you, the everyday internet user. Large corporations are using our resources to make money, not because they’re bad, but because the technology that makes Grass possible didn’t exist when they started decades ago. And that’s exactly why Grass was created - to give users a way to benefit directly from the network and ensure the value of the Internet goes back to where it belongs: in your hands
ChainCatcher News, Bitget announced that it will launch GRASS on the pre-market trading platform today at 19:00. Start time: October 15th, 19:00 (UTC +8) End time: To be determined Spot trading time: To be determined Delivery time: To be determined Pre-market trading pair: GRASS / USDT
We're thrilled to announce that Bitget will launch GRASS (GRASS) in pre-market trading. Users can trade GRASS in advance, before it becomes available for spot trading. Details are as follows: Start time: 15 October, 2024, 11:00 (UTC) End time: TBD Spot Trading time: TBD Delivery time: TBD Pre-market trading link: GRASS/USDT Bitget Pre-Market Introduction Delivery method: Coin settlement, USDT settlement Coin settlement Coin settlement: Utilizes a "cash on delivery" method. If the seller fails to deliver the required coins, the security deposit will be forfeited as compensation for the breach of contract. USDT settlement USDT settlement: A new option for pre-market trades. This is the second settlement option offered by Bitget for pre-market trades. Orders are settled at the average index price at the last minute as the delivery execution price. The losing party will pay the difference to the winning party. Both parties can lose or gain up to 100% of the security deposit, excluding transaction fees. Example: The user buys 10 tokens at 10 USDT (the filled order is called Order A) and sells 10 tokens at 15 USDT (the filled order is called Order B). At delivery time, the system calculates the delivery execution price based on the average index price from the last minute. Assuming the execution price is 5 USDT, the calculations are as follows: PnL of Order A = (5 – 10) × 10 = –50 USDT PnL of Order B = (15 – 5) × 10 = 100 USDT The total PnL for the user in pre-market trading is 50 USDT. For USDT settlement, orders are settled at the average index price from the last minute as the delivery execution price, determined by a weighted average of prices at leading exchanges to ensure fairness and transparency. Introduction Grass is a decentralized data layer built specifically for artificial intelligence that enables users to share their Internet bandwidth and obtain verifiable network data through a distributed network. This is achieved by leveraging idle internet connections of node operators to collect raw data, which is then processed for AI training purposes. GRASS Total supply: 1,000,000,000 Website | X | Discord FAQ What is pre-market trading? Bitget pre-market trade is an over-the-counter trading platform specializing in providing a pre-traded marketplace for new coins before their official listing. It facilitates peer-to-peer trading between buyers and sellers, enabling them to acquire coins at optimal prices, secure liquidity in advance, and complete delivery at a mutually agreed upon time. What are the advantages of Bitget pre-market trading? Investors often have expectations regarding the price of a new coin before spot trading becomes available. However, they may be unable to purchase the coin at their preferred price and secure liquidity in advance due to lack of access. In response to this, Bitget pre-market trading offers an over-the-counter (OTC) platform where buyers and sellers can establish orders in advance to execute trades as desired and complete delivery later. In this scenario, sellers are not required to own any new coins; instead, they only need to obtain sufficient new coins for delivery before the designated delivery time. How are pre-market trades deliveries completed? The system will pre-freeze the funds required for the current order between the buyer and seller as a transaction guarantee. Prior to the delivery time, the seller must ensure that their spot account holds the required amount of new tokens; otherwise, the transaction will be canceled. Similarly, the system will unfreeze the buyer's funds and compensate the buyer with the seller's frozen margin. Once the delivery is completed, the corresponding quantity of tokens will be transferred to the buyer's spot account, and the buyer's frozen funds will be transferred to the seller's spot account after deducting the transaction fee. Note: (1) Upon reaching the delivery time, the system will execute the delivery according to the transaction time in sequence, which is expected to be completed within one hour. The seller should refrain from any transactions involving the delivery currency funds within 30 minutes after delivery initiation to mitigate the risk of delivery failure due to insufficient funds. (2) If you have both buy and sell orders, ensure that your spot account holds the required quantity of the sell order currency at the time of delivery. Orders with insufficient balance will be processed using the "compensate with margin" approach. How can I make a pre-market trade as a seller? As a seller, you are required to use the USDT in your spot account to pay the margin. You can list your new tokens on the order market at your preferred price via Post Order, or you can find a suitable buy order on the order market and sell it to the buyer at the buyer's asking price. Once the order is filled, you just need to wait for the delivery. How can I make a pre-market trade as a buyer? As a buyer, you are required to use USDT from your spot account to pay for the trade. Using the Place Order function, set the quantity of coins you want to buy at your preferred price and list the maker order in the order market. Bitget will then lock the funds for the purchase and handle any related fees. Alternatively, you can directly select a sell order from the marketplace and buy the coins at the seller's designated price. Once the order is filled, simply await delivery. Do I have to fill the entire maker sell/buy order at once in pre-market trading? No, the platform allows you to trade any quantity of coins as long as it meets the minimum transaction limit. 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Foresight News reports that the AI data layer protocol, Grass, now supports Bitget Wallet connections. Users can access Grass via the Bitget Wallet mobile app or browser plugin. Before 8:00 on October 1st, users who connect their Solana address through Bitget Wallet can receive a first-time airdrop reward from Grass. At the same time, Grass has also been included in the DApp section of Bitget Wallet for easy search and quick access by wallet users.
Original title: "Grass airdrop query is online, can my electricity bill be recovered?" Original author: Asher, Odaily Planet Daily This morning, Grass (commonly known as Xiaocao in the community) posted on the X platform announcing that the token airdrop query has been launched (Click here to jump to the airdrop query link). The query page only reflects the distribution of the test Alpha season and seasons 1-7, excluding the ongoing reward season and the distribution to be announced. The total supply of GRASS tokens is 1 billion, of which 10% is for the first airdrop. The detailed airdrop distribution is as follows: · Test Alpha Season: 1.5%; · Seasons 1-7: 7%; · Reward Season (currently): 0.5%; · To be announced: 1%. "Xiao Cao" is also a very popular project for airdrops during this period. Therefore, as soon as the token query news came out, major "Glass" communities became lively all of a sudden, and users who participated in the interaction went to check the number of tokens they received, but followed by various grievances on social media: "5.8 GRASS, am I reading it right? It's a total anti-looting. Is there anyone who has less than me?" "I created a bunch of accounts in batches, but how come I only got dozens of coins for 100 million points? How is it calculated?" "I started promoting it from the first season, and invited a total of 101 friends to participate. My computer was down for almost a year, and I often used VPN during this period. I only had one account, with a total of more than 7 million points, but only 63 were airdropped. GRASS, it’s not even enough to pay for electricity, it’s amazing.” “Xiao Cao successfully reversed, I am an online beggar, I am a clown.” … A screenshot of a community member’s query It can be said that on social media, whether it is individuals with single numbers or studios that do bulk coin-pocketing, almost all of them are complaining that the number of Xiao Cao’s airdropped tokens is too small and full of resentment. Next, Odaily Planet Daily will take you to a brief understanding of the Grass project, over-the-counter price situation and other information. Grass Project Introduction Image Source: Official Push Grass is the first project deployed on Solana that combines AI, Depin, and Solana technologies, and is positioned as the data layer for AI. As a decentralized network, Grass aims to provide the data needed for AI model training by accessing the public network. This makes Grass an important part of the AI data layer as it expands to clean and prepare structured data sets, laying the foundation for its foundation in the field of AI. According to ROOTDATA data, Grass has completed secondary financing with a total amount of US$4.5 million, namely: · In July 2023, Grass announced the completion of a US$1 million Pre-Seed round of financing, with No Limit Holdings, Big Brain Holdings, Builder Capital, Cogitent Ventures, Kyle Samani, Neel Somani, Rahim Noorani and others participating in the investment; · In December 2023, Grass announced the completion of a US$3.5 million seed round of financing, led by Polychain Capital and Tribe Capital, with participation from Bitscale, Big Brain, Advisors Anonymous, Typhon V and Mozaik. Over-the-counter price Currently, Grass tokens are not listed on the well-known over-the-counter trading platforms AEVO and Whales Market. Whales Market has only previously launched the over-the-counter market for Grass points. With the release of the token airdrop news, its over-the-counter price has fallen sharply, now reported at $0.00015 per point, a 24-hour drop of nearly 40%. Grass points over-the-counter price K-line Currently, the community spontaneously organized OTC situation, there is a buy order at 0.2-0.25 US dollars, but according to community feedback, sellers do not seem to be willing to trade at such a low price, and some sellers want to sell at around 0.5 US dollars. A community OTC price list Therefore, if sold at 0.5 US dollars per coin, the number of airdrops queried by most users is concentrated between 10-100 pieces, and the airdrop reward of about 5-50 US dollars is obtained, which is a "pig foot meal". It is worth mentioning that the NFT project GigaBuds, which was launched by Grass stealth, did not fall after the release of the token airdrop query message, but rose slightly, temporarily reporting 2.472 SOL, a 24-hour increase of 12.18%. Of the 10% of tokens in the airdrop, 1% of the tokens are currently officially given as "to be announced", so the price of GigaBuds has risen instead of falling, perhaps because they expect that this 1% will be given to NFT holders. GigaBuds NFT K-line chart Original link
In order to get a ticket to the AI finals, the giants are spending a lot of money to buy high-quality data. In the AI era, data, like computing power, is a necessity. Reddit once revealed in its IPO prospectus that it has achieved a total revenue of US$203 million through data licensing agreements signed with AI companies. Previously, Information reported that OpenAI is offering publishers an annual offer of US$1 million to US$5 million to get more news organizations to sign licensing agreements to train its AI models. As for the protection of high-quality data, the most obvious example is X (formerly Twitter)'s strict restrictions on APIs starting in 2023. Musk, who once invested in OpenAI, is very likely to have strictly restricted API access to X data because he knew that X was a data vault. To give the simplest example, although many people are used to using AI star product Perplexity instead of Google for search, only on the newly released Grok can users retrieve the latest posts on X. To some extent, it can be said that X's data has become Grok's biggest moat. Grok can obtain and quote real-time data on X, which other search engines cannot do Because of NVIDIA's existence, in the crypto circle, it seems that people only care about GPU projects, but few people realize that data is also a key resource for the development of AI. No matter how strong the computing power is, it cannot create miracles, and a good cook cannot cook without rice. Without sufficient data and high-quality data, the system cannot accurately understand, predict and generate content, and thus cannot operate effectively in the complex real world. If the AI applications represented by Chatgpt and the AI computing power represented by NVIDIA are called the face, then giants such as Google and Microsoft integrate a huge part of the content of the entire network and provide the inside of AI. Data is not only the foundation of AI, but also the moat of AI. In this regard, Grass, which is deeply engaged in the data layer, has already had a complete solution. Why can Grass become a decentralized Google? If I were to summarize Grass's core working philosophy in one sentence, it would be to come from the masses and go to the masses. Global users contribute idle bandwidth and relay traffic by running Grass nodes to capture real-time high-quality data from the entire Internet and obtain Token rewards. Unlike traditional giants, Grass, as a leading encryption protocol for building projects in the data field, captures massive amounts of Internet data that are verified, sorted and cleaned to become high-quality data sets for sale. Any company or individual who intends to train their own AI can benefit from this system. As Hack VC managing partner Ed Roman comment on Grass, this data acquisition will likely outperform any one company’s in-house data acquisition efforts due to the power of a large network of incentivized nodes. This includes not only acquiring more data, but also acquiring data more frequently so that it is more relevant and up-to-date. It is nearly impossible to stop a decentralized army of data scrapers because they are fragmented in nature and do not reside within a single IP address. Of course, users will naturally care about security issues as they contribute their idle bandwidth. Grass also gave an explanation for this: When contributing excess bandwidth for data crawling, Grass will not use the user's computer or view any actions performed by the user on the computer. All it does is route Internet traffic through the user's IP address, which is completely unrelated to the user's activities, which means it cannot access the user's personal data. Grass's extremely low entry threshold has accumulated a huge user base for it. Less than a year after its launch, Grass already has more than 2 million active nodes, and now has more than 2.2 million active nodes. If the points of these more than 2 million node users are converted into corresponding tokens after the Grass TGE, this may make Grass one of the most widely distributed airdrop projects and communities in history. As one of the few products with good product-market fit (PMF), the Grass team not only demonstrated a strong technical foundation through stable operations, but also submitted a satisfactory answer to the market with technology and community cooperation. In July, the Grass Foundation released the UpvoteWeb dataset on Hugging Face, which contains 600 million top posts and comments on Reddit in 2024. It is the largest and latest open source Reddit dataset to date. Reddit data is very valuable for AI models because it is manually labeled through the upvote mechanism, which ranks the quality of responses and classifies sub-forums where experts express their opinions. Google once reached an agreement with Reddit worth about $60 million to obtain data on Reddit for training its AI models. UpvoteWeb was recommended by Caleb from Hugging Face Grass's long-term goal is not limited to historical data. They intend to build a real-time contextual retrieval (LCR) engine that will utilize all Grass nodes to continuously crawl the Internet in parallel and around the clock, essentially turning Grass into a user-owned search engine like Google. In theory, any application or large language model (LLM) that wants to retrieve real-time data can use LCR. In order to ensure the validity of the data used to train the model, Grass also introduced a ZK processor and a data ledger with timestamp-like functions. The ZK processor ensures that the AI model is trained correctly, and the metadata retained by the data ledger ensures the authenticity and source of the crawled data. In addition to the existing achievements, Grass will continue to upgrade from both the chain and the node in the future to enhance data transmission and quality and improve network effects. Eric Schmidt, who served as Google CEO for 10 years, said in his 2024 speech at the School of Computer Science at Stanford University that he once thought that NVIDIA's CUDA was not a sophisticated programming language, but now CUDA is NVIDIA's greatest moat, and all large models must run on CUDA. It also makes NVIDIA a well-deserved infrastructure and industry standard in the AI industry. Grass, which has a large number of users, is working hard to become an AI data layer, which means that Grass can provide support for more AI application scenarios, from natural language processing to image recognition, to complex machine learning tasks, Grass's data layer can meet a variety of different needs, and eventually become an industry infrastructure like NVIDIA. As an ordinary user, I was very puzzled when I first came into contact with the AI data layer, and I didn't know why it was necessary. With this curiosity, I carefully studied the design concept of Grass. Because the Grass network has to process and store massive amounts of data, especially real-time data, this scale of data processing requirements far exceeds the limitations of traditional on-chain processing capabilities. If all data is processed directly on the main chain, even a network with a high TPS will face serious congestion problems, resulting in inefficiency. Operating on the blockchain is usually accompanied by high costs. By processing and compressing a large amount of data off-chain, and then submitting the processed results to the main chain. This greatly reduces the data burden on the chain and improves the overall processing efficiency. In addition, sensitive data also gains additional privacy protection through the ZK processor. Through the recording function of the original data, Grass may also incentivize high-quality nodes. After solving the scalability, cost and privacy issues through the AI data layer. Grass also launched an application version of the node, which uses less than 5% of the resources of the Chromium browser, but processes 10 times more bandwidth than the Chrome extension. Not only that, Grass will also launch a mobile version and a physical mining machine, which means that Android and IOS users can get rewards around the clock. Because the convenience of mobile phones is very likely to attract many Web2 users, greatly expanding the Grass network. And because the IP addresses of computers and mobile phones are different, old users can also get an additional income from the mobile phone. High-quality background plus high PMF, amazing potential Not only is the team technology continuously online and the community continues to pursue it, Grass, which already has a very high PMF, has a strong background of investors behind it. Grass' parent company Wynd Network previously received seed round financing from Polychain Capital and Tribe Capital. Not only that, Multicoin managing partner Kyle Samani, who has been in the spotlight for betting on Solana, participated in Wynd Network's Pre-seed round of financing. It is worth noting that Hack VC also mentioned its investment in Grass in the article. It is not sure whether this means that Grass has a new round of financing that has not yet been disclosed. Some community members expect that after the Grass TGE, when people realize that they can make a lot of money passively through Grass without any risk, those who missed Grass will flock to it. This means that after the release, the potential and implicit demand coupled with the launch of the mobile application will increase the number of users dramatically. Depending on growth rates, attractiveness factors, and network effects, Grass could have 50 million users within a year. As the crypto industry continues to disenchant new terms, revenue has become the focus of attention. According to House of Chimera, in the past three months, various DePIN projects have accumulated $500,000 each, and Akash has received $200,000. The old problem of obtaining real income does not seem to pose any challenge to Grass. Take the Reddit dataset UpvoteWeb mentioned above as an example. For a similar dataset, Google needs to pay 60 million to obtain it. Compared with Bright Data, a leader in data crawling and proxy services in the Web2 track. Whether it is $0.001 per record from Data for AI or $15,000 for 5 million requests from Perplexity, the 600 million Reddit dataset obtained by Grass is worth a lot of money. Not to mention Reddit's own new policy of setting API fees at $0.24 per 1,000 calls starting in July 2023. You should know that the above data is only when Grass has not launched tokens, mobile versions and dedicated mining machines. Once Grass forms a stronger network effect, all data will be updated again. Time is very important for systems with network effects. Grass has established a sufficiently broad user base and technical accumulation in the fields of encryption and even AI. I hope its flywheel can develop further and become a real AI data layer. Just like the beautiful vision conveyed by the TOUCH GRASS challenge held by Grass for the community, Grass will become the data map of the AI era, transfer the benefits of centralized enterprises to more users, and give Grass community members more time to touch Grass.
The Grass AI decentralised physical infrastructure network (DePIN) project has recently concluded its closed beta phase, marking a significant milestone in its development journey. This project focuses on addressing data poisoning issues in the training of large language models (LLMs) by creating a decentralised network supported by numerous users running crawling nodes. The completion of the closed beta is seen as a crucial turning point for Grass, signifying the transition from development to operational phases. To acknowledge and reward the contributions of users who lent their internet connections and computing power, Grass has announced an upcoming airdrop. The airdrop process will involve a snapshot of user participation and network activity across seven epochs, each lasting one month. This will determine the distribution of rewards based on weighted network participation. While specific details on the tokenomics of the airdrop will be provided at a later date, Grass has already introduced a new bonus epoch to encourage increased user activity before the reward distribution. This bonus epoch will help users enhance their activity profiles, which will be tracked through Solana (CRYPTO:SOL) network wallets associated with each account. Looking ahead, Grass plans to shift its focus from building core infrastructure to supporting the development of applications that align user interests with the network’s capabilities. This new phase will involve integrating third-party applications that can utilise the extensive network of over a million nodes. These applications are expected to provide valuable data for training AI agents, further advancing the project's goals. Overall, the conclusion of the closed beta and the forthcoming airdrop highlight Grass' commitment to innovation and user engagement. The project's future developments promise to expand its impact on the AI and data infrastructure landscape, offering new opportunities for both users and organisations in the field.
The decentralized web crawler project Grass stated on X platform that users need to link their Solana wallet to the corresponding Grass account, verify the bound email, and click on the "Rewards" tab on the dashboard according to the official tweet link. The support team will answer users' related questions on Discord at any time.
PANews reported on April 10 that conte, a community contributor to the decentralized web crawler project Grass, compiled a summary of the latest community conference call and stated that Grass’s measures to deal with witch behavior include 7.5 million fake accounts that have been identified and eliminated. , the number of real Grass users has reached 1.8 million. In the future, Grass will continue to use multiple measures to detect witch behavior and eliminate related accounts. Therefore, users are advised not to use products such as Whales Market while using Grass.
Grass announced that it is establishing a Layer 2 data Rollup based on Solana, aiming to solve the current data transparency issues in the field of Artificial Intelligence (AI). Grass collects network data through its node network and cleanses and structures it for AI model training, rewarding contributions from nearly a million participants worldwide. This Layer 2 solution will allow metadata recording each time data is fetched to verify the source of the data, which will be permanently embedded into each dataset, enabling builders to trust the origin of their information. This move is expected to effectively combat data pollution, empower open-source AI, and provide users with visibility into AI models in daily interactions. To cope with scales reaching tens of millions of web page requests per minute, Grass will expand its protocol through Layer 2 using ZK processor for data verification providing persistent clues about sources for all produced datasets.
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