With the U.S. elections over, $BTC has soared past 9 amidst fluctuations, and the trading market is bustling, with miners also staying busy. However, previous data shows that Bitcoin mining difficulty has already surpassed 100 trillion. Therefore, miners are also looking for new layout opportunities while mining. Jason Les, CEO of Bitcoin miner Riot Platforms, stated that if there are suitable partners and trading opportunities, miners are willing to invest in AI projects. Among the many projects in the AI sector, miners are most eager to deploy AI data projects in advance. This is not only due to considerations of mining machine characteristics but also because AI data currently has greater and more lasting development potential compared to AI models and AI agents.

Data is the most upstream production factor, which undergoes model evolution, computational power calculations, and is then dynamically optimized by AI agents, ultimately transforming into practical applications. This seemingly simple process contains important economic insights and explains why not only Bitcoin miners but also major VC investments are optimistic about AI data projects—because they naturally occupy a high point in the industrial chain. Surveys show that the mining industry is now divided into companies focused on Bitcoin mining and those turning to AI data projects.

Miners and VC institutions can leverage their existing resources to invest in AI data, but how can ordinary people lay out AI data at low cost? First, it is necessary to take stock of the current AI data projects available.

Overview of AI Data Projects

Currently, AI data projects in the crypto field can be divided into the following segments: data markets (e.g., Ocean Protocol, Masa), user-owned/private data (e.g., Vana, NVG8), public and synthetic data (e.g., Dria, Grass), data intelligence tools (e.g., Nansen, Dune), data storage (e.g., Filecoin, Arweave), data orchestration/tracing (e.g., The Graph, Story Protocol), and data labeling (e.g., Sapien, Fraction.AI).

From the above projects, it can be seen that Crypto + AI Data mainly faces the following challenges:

• Incentivizing users to share private or proprietary data (e.g., data DAOs that allow data contributors to earn from social platforms and control data usage);
• Developing tools to generate synthetic data or incentivizing users to scrape public data;
• Encouraging users to participate in dataset preprocessing to maintain data quality (e.g., data labeling and reinforcement learning);
• Establishing an open data market to ensure multi-party participation, where any data contributor can receive compensation.

In response to the challenges faced by AI data in the crypto field, Crypto AI researcher Teng Yan recently analyzed in an article how the currently hottest track, DIN, is clearing all obstacles with one click. DIN is the top AI Dapp on the BNB Chain, providing a one-stop AI data solution. Coupled with recent frequent interactions and joint activities with the Binance ecosystem, it is easy to understand why DIN's popularity remains high. From the project's white paper, the underlying logic of its operation is not complex. As the first modular AI native data preprocessing layer, DIN has launched the xData AI data node infrastructure. Users can use xData on X (formerly Twitter) to label and store hot crypto news on-chain with one click. The Chipper node can further assist in data validation, classification, cleaning, and enhancement, ensuring the quality of the dataset. This way, everyone can participate in the AI data preprocessing process and receive rewards based on their contributions.

How to Lay Out AI Data at Low Cost

Among the AI data projects mentioned earlier, some have already been listed, making entry costs too high, while others are still far from TGE. Therefore, to find projects that can be laid out at low cost in AI data, two conditions must be met: 1. Upcoming TGE 2. Listing on major exchanges. Additionally, considering the recent popularity of the project, the answer is clear—DIN.

DIN Pre-mining

DIN is approaching TGE, with pre-mining having started on November 18 and expected to end on December 4. During the pre-mining period, the main output will be xDIN. At TGE, DIN tokens will be airdropped based on users' xDIN holdings. This portion of DIN airdrop will be 100% released, with no locking or linear unlocking mechanisms. Therefore, if you are already a user of xData or a holder of Chipper nodes, hurry to join the DIN pre-mining to earn xDIN and BNB. Click here for the DIN pre-mining tutorial.

DIN x Binance Web3 Wallet Airdrop Event

DIN has not only received investment from Binance Labs but has also been listed by BSC Daily as one of the 25 projects most likely to be listed on Binance in 2024. Coupled with the upcoming TGE, DIN has recently held numerous joint activities with the Binance ecosystem. If you are neither an xData user nor a Chipper node purchaser, you must participate in the DIN x Binance Web3 Wallet airdrop event, which is the last opportunity for new users to obtain the highest returns at the lowest cost before TGE.

This event started on November 19 and will last until December 3. Users only need to enter the event page and complete corresponding tasks, such as registering a Binance account, connecting to the Binance Web3 wallet, following relevant social media, completing daily Boost tasks, and inviting friends to participate in the distribution of 375,000 DIN tokens. Additionally, all users participating in the Binance Web3 wallet event and completing daily Boost tasks will automatically join the pre-mining and receive extra xDIN rewards. This way, any user participating in the airdrop event can obtain DIN tokens and xDIN at low cost. With TGE approaching, the entire cost cycle is greatly shortened.

Click here for the Binance Web3 Wallet x DIN airdrop event tutorial.

In the current market environment, projects are emerging one after another. Zhao Changpeng, Vitalik Buterin, Elon Musk, and others are optimistic about the development of crypto xAI, and Bitcoin miners are also investing in AI data. Why shouldn't ordinary people seize this opportunity to enter AI? This bull market cycle includes not only crazy memes but also AI.

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