With the global cryptocurrency market recovering, Bitcoin (BTC) prices have fluctuated and reached new highs, sparking continuous discussions in the market. Against this backdrop, the Bitcoin mining industry has also welcomed a new transformation: more and more miners and institutions are starting to focus on AI data as an emerging track. Bitcoin miners like Riot Platforms' CEO Jason Les even stated that if suitable collaboration opportunities arise, miners are willing to fully layout AI projects.

Why has AI data become the top choice for Bitcoin miners? Data is the upstream core of the AI industry chain, driving model training, algorithm optimization, and practical applications. Compared to AI models or agents, the persistence and wide application of data make it a more promising investment area. So, how can ordinary people low-costly layout the AI track, especially AI data, in the face of this trend of big players entering? This article will explore detailed discussions from track analysis to practical strategies.

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I. Why do BTC miners favor AI data?

The Bitcoin mining industry has faced many challenges in recent years: mining difficulty continues to rise, electricity costs remain high, and market volatility has increased. In the search for new profit points, AI data has become the focus of attention for miners and institutions.

  1. Data is the foundation of the AI industry chain

    • Core Position: AI data is an upstream resource, providing fuel for AI models and agents through data preprocessing, training, and enhancement. It occupies a commanding position in the entire AI ecosystem.

    • Wide Application: From synthetic data generation to data annotation, to on-chain storage and intelligent tools, the demand for AI data spans multiple fields.

  2. The computing power advantage of mining machines

    • Hardware Reuse: The devices of Bitcoin miners (such as ASIC miners) can be adjusted for the preprocessing, storage, and even distributed computing of AI data, thus achieving efficient resource utilization.

    • Energy Efficiency: The low-cost energy layout of miners also makes them competitive in the field of AI data computation.

  3. Long-term Value

    • Data Assetization: After being stored and traced on the blockchain, AI data becomes tradable and an important component of the future digital economy.

    • Avoid Short-term Competition: Compared to the popular AI model development, competition in the AI data field is relatively small and the revenue cycle is more stable.

II. Comprehensive Analysis of AI Data Track

Currently, projects related to AI data in the cryptocurrency field are distributed across the following several sub-tracks:

  1. Data Market

    • Representative Projects: Ocean Protocol, Masa

    • Function: Build an open data trading platform that allows users to buy, sell, or share data.

  2. User-owned/Private Data

    • Representative Projects: Vana, NVG8

    • Function: Empower users with control over their own data and earn revenue through data sharing.

  3. Public and Synthetic Data

    • Representative Projects: Dria, Grass

    • Function: Generate high-quality synthetic data to expand the application scenarios of training datasets.

  4. Data Storage and Traceability

    • Representative Projects: Filecoin, Arweave, The Graph

    • Function: Provide secure and efficient decentralized storage services, ensuring data transparency and traceability through traceability.

  5. Data Annotation and Quality Maintenance

    • Representative Projects: Sapien, Fraction.AI

    • Function: Improve the efficiency and accuracy of data annotation through community collaboration.

  6. Data Intelligence Tools

    • Representative Projects: Nansen, Dune

    • Function: Use data analysis and visualization tools to help users gain insights into on-chain behavior and trends.

III. How can ordinary people low-costly layout AI data?

The threshold for ordinary people to enter the AI data field is relatively low, but it is necessary to seize opportunities and resources, especially in the early stages of high-quality projects. Here are feasible low-cost layout strategies:

1. Choose high-quality projects about to TGE

  • Background: Many AI data projects have launched tokens, but the prices of some projects have surged, making it unsuitable for ordinary people to participate at low costs.

  • Solution: Focus on projects that are about to undergo Token Generation Events (TGE), selecting potential targets that are about to enter the market.

  • Recommended Case: DIN (Modular AI Data Infrastructure)

    • Features: DIN has recently gained significant attention, ranking among the top AI DApps on the BNB Chain. It lowers the threshold for ordinary people to participate in the AI data process by preprocessing and storing hotspot cryptocurrency information through xData nodes.

    • Participation Method: DIN is about to conduct TGE and provides low-cost participation opportunities through pre-mining and airdrop activities.

2. Participate in the DIN pre-mining activity

DIN began pre-mining on November 18 and ended on December 4. Through pre-mining, users can obtain the initial tokens of DIN (xDIN).

  • Revenue Mechanism: At TGE, xDIN holders will receive a 1:1 ratio airdrop of DIN tokens, with no lock-up or linear unlocking.

  • Additional Rewards: Participating in pre-mining can also earn BNB rewards, further reducing participation costs.

3. Capture the benefits of joint activities

The cooperation between DIN and the Binance ecosystem provides new profit opportunities. The DIN x Binance Web3 Wallet airdrop activity offers new users a one-time low-cost profit opportunity:

  • Event Time: November 19 to December 3

  • Participation Method: Complete registration, connect to the Binance Web3 wallet, and perform simple operations such as daily tasks to share 375,000 DIN tokens and receive xDIN rewards.

  • Advantages: Suitable for non-technical users, they can participate in the early ecological layout of AI data by simply completing tasks.

4. Focus on long-term investment directions for AI data

  • Purchase related tokens: Invest in already listed AI data project tokens (such as Filecoin, Ocean Protocol), and hold them long-term to enjoy track dividends.

  • Join a data DAO: By contributing data or participating in governance, you can earn additional token rewards and revenue sharing.

IV. Summary: Seize the future dividends of AI data

In the context of rising Bitcoin mining difficulty, miners and institutions are turning their attention to the emerging field of AI data. As the upstream core of the AI ecosystem, the scarcity and long-term value of data make early layout a wise choice.

For ordinary people, participating in pre-mining before TGE, airdrop activities, or directly investing in promising AI data projects can provide a low-cost entry into this track. Projects like DIN, with their simple participation mechanisms and extensive ecological support, offer convenient entry opportunities for individual investors.

In this market cycle, besides the Bitcoin and MEME craze, the AI track, especially AI data, may be the hidden super opportunity. Seizing the dividend window of AI data, you too can become the protagonist of the next blockchain wealth story.