
Jesse|Mar 26, 2025 10:58
In Q1 2025, the AI industry will receive nearly $20 billion in venture capital funding, while during the same period, the US cryptocurrency venture capital financing will only be $861 million.
As of 2024, AI startups have attracted one-third of global venture capital, totaling $131.5 billion, with nearly a quarter of new startups entering the AI field.
The AI track is a track that smart money and outstanding entrepreneurs jointly choose and bet on.
However, the AI big model has almost exhausted all the open Internet data. The percentage of public Internet data in all data is very small, less than 0.1%. If you want better performance, you must mine the private data that requires authorization.
And Vana aims to tap into the potential of broader private data to improve AI performance. This cannot be solved in the AI industry itself, and can only be achieved through blockchain using token incentives. Because high-tech companies know that this data is valuable, they are trying to limit its free access.
Data is naturally owned by individuals, not technology companies. Just like when you park in a parking lot, the car is still yours. Vana makes data not just a privacy issue, but also an economic issue. Owning data is equivalent to owning equity in future big models.
What Vana brings to the industry is not Meme's PVP, but a real attempt to explore Blockchain for AI.
If Vana's path goes through, it will bring the following changes to the world:
1. Breaking through the limitations of the "data wall": Solving the problem of the depletion of high-quality public data, allowing private data (such as health records and device usage data) to be utilized by AI while protecting privacy.
2. Maximizing data value: By aggregating collective data, individual data points with small values can achieve exponential value growth.
3. Cross platform data integration: Users can independently integrate personal data from different platforms (such as Facebook, Apple, Google), overcoming the limitations of traditional closed ecosystems.
4. Create new modes of economic participation: Ordinary people do not need traditional capital and can participate in the digital economy and obtain passive income solely based on personal data.
5. Redistribution of AI benefits: Changed the pattern of value mainly flowing to large technology companies, allowing ordinary users to share the economic benefits brought by AI development.
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