Artificial Intelligence (AI) is rapidly evolving but still faces several challenges, particularly in centralized systems. Blockchain may offer solutions that could enhance AI and provide new opportunities for interaction.
Drawbacks of Centralized AI
Centralized AI is constrained by strict boundaries as each trained model depends on a specific company. This slows the learning and growth process because developer updates are necessary. Such systems cannot effectively adapt to new conditions, limiting their capabilities.
Advantages of Decentralized AI
Decentralized AI, using blockchain, allows agents to share knowledge and learn in real-time, creating a common pool of information. This ensures faster adaptation and the possibility of collective learning. The use of federated learning technology helps update models without transferring sensitive data.
The Future of AI and Blockchain
It is expected that by 2025, 85% of companies will use AI to handle routine tasks. Blockchain will provide transparency and trust, allowing agents to learn from each other's experiences. This system could lead to the emergence of decentralized intelligence independent of individual companies.
The introduction of decentralized technologies in the development of AI could be a key step towards creating more adaptive and efficient systems. This will not only improve technology but also change the approach to interacting with it.
