Coindesk CONSENSUS 2025 (Part 2) – AI and Blockchain

At Consensus Hong Kong 2025, one of the fascinating discussions revolved across the rising convergence of synthetic intelligence (AI) and blockchain expertise. Key trade figures, together with Clara Tsao (Founding Officer, Filecoin Basis), Jing Solar (Co-founder, IoTeX & MachineFi Lab), and Mark Rydon (Co-founder, Aethir), delved into how decentralized applied sciences may democratize AI and tackle the belief points surrounding centralized information management.

Decentralized AI and Knowledge Possession

Clara Tsao explored the geopolitical features of AI’s rise, noting how international powerhouses just like the U.S. and China are vying for management within the AI race. “Belief is a giant concern relating to information utilization,” Tsao remarked, emphasizing the rising want for information possession. She argued that “decentralized AI, the place customers management the place their information is saved and the way it’s used, is important to handle these issues.” Leveraging blockchain’s transparency and safety, decentralized AI fashions allow customers to retain management over their information, resolving privateness and moral dilemmas widespread with centralized methods.

Decentralized Infrastructure: Cloud Computing by the Individuals, for the Individuals

A spotlight of Consensus HK 2025 was the revealing of Aethir’s decentralized cloud infrastructure. This distributed system permits builders to entry GPU sources wanted for AI workloads, democratizing entry to high-performance computing with out large capital investments.

“We’re constructing a decentralized cloud infrastructure that democratizes entry to GPU sources,” Mark Rydon said. Aethir’s platform faucets into a major variety of NVIDIA H100 GPUs, offering AI startups with a scalable, reasonably priced solution to energy their initiatives.

Actual-Time Knowledge: The IoT-Blockchain Integration

One other essential development on the convention was the mixing of real-time information into blockchain methods, a vital consider feeding AI fashions with present data. Jing Solar from IoTeX defined how IoT gadgets have gotten more and more very important in offering real-time information.

“Decentralized networks are exploring methods to mixture real-time information from climate stations, flight trackers, and IoT gadgets to feed into AI fashions,” Solar remarked. This integration enhances AI’s skill to make exact predictions and automate responses in real-time. As an example, climate sensors may set off computerized insurance coverage payouts primarily based on incoming information, showcasing how blockchain brings transparency to AI purposes.

The Future: Decentralized AI Brokers and the Rise of the Autonomous Financial system

Probably the most visionary dialogue at Consensus HK 2025 targeted on the function of AI brokers conducting transactions on blockchain networks, interacting autonomously with each other. Panelists predicted that AI brokers may ultimately conduct extra transactions on-chain than people. This shift towards AI-to-AI commerce marks a groundbreaking growth in blockchain and AI integration. These brokers would be capable to make selections, collaborate, and execute transactions autonomously, paving the best way for a future the place AI methods tackle advanced duties throughout industries akin to finance and transportation.

The potential of decentralized computing and AI to reshape the digital economic system is immense. By merging these applied sciences, a future the place people and companies can entry AI capabilities securely, with out counting on centralized tech giants, is inside attain. This convergence guarantees a brand new period of transparency, belief, and accessibility in AI.

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