Exploring the Blue Ocean Opportunities of Web3 DataFi from the AI Data Track

Currently, the world is in a race to build the best foundational models. While computing power and model architecture are crucial, the real moat lies in the training data. This article will start by discussing the development of AI data and explore the potential and opportunities of Web3 DataFi.

The Importance of the AI Data Track

In today's rapidly evolving landscape of large models, the industry's focus has shifted from model architecture to computing power, and now to data. With the establishment of mainstream model frameworks and the gradual resolution of computing power issues, the importance of data is becoming increasingly prominent.

The training of AI models is mainly divided into two stages: pre-training and fine-tuning. The pre-training stage requires a large amount of text, code, and other information gathered from the web, allowing the model to learn basic communication skills. The fine-tuning stage requires targeted datasets to cultivate specific capabilities in the model. These two types of data constitute the main body of the AI data track.

High-quality datasets are crucial for enhancing model capabilities. As model capabilities continue to improve, refined and specialized training data will become the key factor determining model performance. In the long run, AI data is also a track with compounding effects, and data assets will become increasingly valuable over time.

Advantages of Web3 DataFi

Compared to traditional data services, Web3 DataFi has unique advantages in the following aspects:

1. Smart contracts ensure data sovereignty, security, and privacy.
2. Distributed architecture attracts the most suitable workforce globally
3. Clear incentive and settlement mechanisms in blockchain
4. Conducive to building an efficient and open one-stop data market

For ordinary users, DataFi is the best entry point to participate in decentralized AI projects. Users do not need expensive hardware investments or specialized skills; they can participate simply by completing easy tasks, such as providing data, evaluating models, and engaging in simple creation.

Potential Projects in Web3 DataFi

Currently, several Web3 DataFi projects have secured significant funding, indicating the capital market's optimism towards this field. Some representative projects include:

• Sahara AI: Committed to building decentralized AI infrastructure and trading markets.
• Yupp: AI model feedback platform where users can evaluate the output quality of different models.
• Vana: Transforming user personal data into monetizable digital assets
• Chainbase: Focused on the structuring and verifiability of on-chain data.
• Sapien: Transforming human knowledge into high-quality AI training data
• Prisma X: Robot Open Coordination Layer, focusing on physical data collection
• Masa: Data subnet project of the Bittensor ecosystem
• Irys: Programmable data storage and computing solutions
• ORO: A platform that empowers ordinary people to contribute to AI.
• Gata: Decentralized data layer that provides various data collection and processing tools

Thoughts on the Current Project

Although these projects have low barriers to entry, platform advantages will quickly form with the accumulation of users and ecological stickiness. Therefore, the early stages should focus on user incentives and experiences. At the same time, project parties need to consider how to manage labor, ensure data quality, and avoid the phenomenon of bad money driving out good.

In addition, increasing transparency and accelerating the decentralization process are also challenges faced by these projects. Many projects still appear more like "Web2 projects dressed in Web3 skin," lacking sufficient on-chain traceable data and long-term publicly transparent planning.

The large-scale application of DataFi requires attracting enough individual users and mainstream enterprise clients at the same time. Some projects have made good progress in both areas.

Conclusion

DataFi represents the long-term symbiotic relationship between human intelligence and machine intelligence. For those who are passionate about the AI era and adhere to blockchain ideals, DataFi is undoubtedly a field worth关注. Following the footsteps of capital and participating in the development of DataFi may be a wise choice to stay in tune with the trends of the times.