KHUSHI V RANGDHOL
April 2, 2025 18:05
AI and blockchain converge to enable distributed data ownership and real -time integration for better predictions.
One of the most attractive discussions that the convergence of artificial intelligence (AI) and blockchain technology is increasing in consensus Hong Kong 2025 is rotated. Major industrial figures, including Clara TSAO (Filecoin Foundation, Filecoin Foundation), Jing Sun (Co -founder, IOTEX & MACHINEFI LAB) and Mark Rydon (co -founder, AETHIR), democratize AI We have explored how to solve the trust over centralized data control.
Distributed AI and data ownership
Clara TSAO explored the designated aspects of AI RISE, pointing out how global power plants such as AI and China are competing in AI race. TSAO said, “Trust is a big concern about the use of data.” She said, “The location of the user and the distributed AI, which controls the location and how to use the data, is essential to solve this problem. Through the transparency and security of the blockchain, the user can maintain the control of the data to solve the common personal information protection and ethical dilemma in the centralized system.
Distributed infrastructure: Cloud computing for people
The highlights of consensus HK 2025 were the release of AETHIR’s distributed cloud infrastructure. This distributed system allows developers to access access to high -performance computing without large capital investment by accessing the GPU resources required for the AI workload.
“We are building a distributed cloud infrastructure that democratizes access to GPU resources,” Mark Rydon said. AETHIR’s platform uses a large number of NVIDIA H100 GPUs to provide an affordable way to help AI startups.
Real-time data: IoT-blockchain integration
Another important trend at the meeting is to integrate real -time data into the blockchain system, which is an important factor in supplying the current information to the AI model. Jing Sun of IoTex explained how the IoT device is becoming more important to providing real -time data.
SUN said, “The distributed network is looking for a method of aggregating real -time data from weather stations, flight trackers, and IoT devices to supply to the AI model.This integration improves the ability to make accurate predictions of AI and automates response in real time.The weather sensor triggers automatic insurance payment based on incoming data. It shows how the blockchain is transparent to the AI application.
Future: injuries of distributed AI agents and autonomous economy
The most fantastic discussion in consensus HK 2025 focused on the role of the AI agent that carries out the transactions on the blockchain network and interacted autonomously. The panelist predicted that AI agents could eventually perform more transactions than humans. This transition to AI-to-AI commerce means a breakthrough development of blockchain and AI integration. This agent will be able to make a decision, cooperate, and run the transaction autonomously by opening the way for the future where the AI system performs complex tasks throughout the industry, such as finance and transportation.
The potential of distributed computing and AI that can reconstruct the digital economy is enormous. By combining these technologies, the future where individuals and companies can safely access to AI functions without relying on centralized technology giants can reach. This convergence promises a new era of new transparency, trust and accessibility of AI.
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