The production of machine intelligence has almost entirely relied on a benchmarking system where machine learning models are trained to perform well on narrowly defined supervised problems. While this system performs well in driving performance on these specific problems, it could perform even better with the introduction of market mechanisms. For example, intelligence is increasingly moving away from specific goals and becoming a commodity that is mined at high cost through data, has monetary value, is transferable, and is generally useful. However, existing benchmarking systems do not directly reward this commodity itself, leading to a trend towards narrow specialization in the field. Furthermore, these goals (usually measured in single-dimensional metrics such as accuracy) do not have enough resolution to reward niche or legacy systems, so current non-state-of-the-art technologies are ignored. Ultimately, the diversity of intelligent systems is limited to a framework that requires training large single models to succeed in a winner-takes-all competition. Independent engineers cannot directly monetize their work, resulting in a small number of large companies controlling access to the best AI
The Birth of TAO Token
In response to the above challenges, TAO Token was created. The emergence of TAO tokens provides a completely new market framework in which machine intelligence is measured by other intelligent systems. Models can be ranked according to their information production capabilities regardless of the task or dataset they are trained on. By changing the basis for measuring machine intelligence, the market can reward intelligence that is applicable to a larger set of goals, legacy systems can be monetized for their unique value, and smaller, diverse systems can find their place in a higher-resolution reward landscape.
How TAO tokens work
At its core, TAO tokens are a peer-to-peer intelligence market where the price of intelligence is determined peer-to-peer by other intelligent systems on the Internet. Participants rank each other by training neural networks to learn the value of their neighbors. Scores are accumulated on a digital ledger, and high-ranking participants receive additional weight in the network as a monetary reward. However, this form of peer-to-peer ranking is not resistant to collusion, which can undermine the accuracy of the mechanism. The solution is an incentive mechanism that maximizes the weight rewarded for honest choices, making the system resistant to collusion of up to 50% of the network weight.
Advantages of TAO tokens
1. Distributed intelligence market: The market mechanism of TAO tokens makes intelligent production no longer limited to a few large companies. Any independent engineer or small team can be rewarded by contributing valuable information. This not only promotes the diversity of intelligent systems, but also lowers the entry barrier, enabling more innovation.
2. High-resolution reward system: Traditional benchmarking systems often only reward models that perform best on specific tasks, while ignoring other systems with potential value. TAO tokens can identify and reward intelligent systems that have unique value in specific fields through a high-resolution reward system.
3. Anti-collusion mechanism: TAO tokens have designed an anti-collusion incentive mechanism to ensure the fairness and accuracy of the system. Even if up to 50% of the weight in the network attempts to collude, the system can still maintain its normal operation and accurately evaluate the value of intelligent systems.
Application scenarios of TAO tokens
TAO tokens not only provide a brand new framework for the machine intelligence market, but also demonstrate their potential application value in multiple fields.
1. Data market: In the data market, the value of data is often difficult to quantify. Through TAO tokens, data providers can receive corresponding rewards based on the contribution of their data to intelligent systems, thereby promoting data sharing and innovation.
2. Research and Development: Researchers and developers can share their models and algorithms through the TAO token platform and receive rewards based on their contributions to other intelligent systems. This not only promotes knowledge sharing, but also encourages more innovation and research.
3. Education and Training: Educational and training institutions can use the TAO token platform to provide students and trainees with real projects and tasks and reward them based on their performance. This not only improves the motivation to learn, but also provides a platform for students to demonstrate their skills.
Conclusion: TAO tokens have brought revolutionary changes to the machine intelligence market. Through a peer-to-peer intelligent market, TAO tokens not only promote the diversity of intelligent systems, but also provide a fair competitive environment for independent engineers and small teams. Its high-resolution reward system and anti-collusion mechanism ensure the fairness and accuracy of the system. In the future, TAO tokens are expected to demonstrate their potential application value in multiple fields such as data markets, research and development, and education and training.
The emergence of TAO tokens not only provides a brand new framework for the machine intelligence market, but also brings more possibilities and opportunities to the entire industry. Through continuous innovation and optimization, TAO tokens are expected to become an important force in promoting the development of machine intelligence.