On November 12, 2024, the W2140 EXPO, a premier global AI and Web3 conference, was inaugurated in Bangkok. Co-hosted by the Asian Business Association of Thailand and the Thai government, the event drew participation from over 1,000 organizations and more than 200,000 attendees, making it the largest of its kind.

During the conference, members of the Titan Network core team engaged in deep discussions with UN staff and Dr. James Ong, a Singaporean Chinese scholar, founder and managing director of the Artificial Intelligence International Institute (AIII), and co-author of AI for Humanity. They were honored to receive a signed copy of his book.

In his keynote speech titled "AI and Web for Humanity from the Global Majority," Dr. Ong highlighted Titan Network and its ecosystem partner, Pnuts.AI, as exemplary cases within the AIDePIN and AIDeHIN frameworks. He praised Titan for creating a decentralized physical infrastructure network (DePIN) that utilizes blockchain to harness idle resources, offering a decentralized, secure, and transparent AWS-like service alternative that can save up to 96% in costs compared to traditional cloud services.

Dr. Ong also commended Pnuts.AI, noting its strength as the most powerful real-time translation tool currently on the market, originating from Singapore. The tool aims to break down language barriers using AI and Web3 technologies to deliver the most private, fastest, most accurate, and most affordable speech-to-speech translations. Supported by Titan Network's computing, storage, and GPU resources, Pnuts.AI can handle translations in over 200 languages, providing initial translations in two seconds, preliminary adjustments in ten seconds, and final results in twenty seconds.

This offers significant advantages over traditional and online simultaneous interpretation services in terms of cost, functionality, accuracy, and ease of use.

Furthermore, Dr. Ong underscored the potential of Pnuts.AI to develop into a standout Web3 project, envisioning a future where AI, Web3, and DeHIN are fully integrated. In the DeHIN approach, a group of top human language experts will collaborate with AI systems to significantly enhance translation accuracy.

These experts will also contribute extensive digital training materials to further develop translation models, while Web3 mechanisms will merge cooperative human-AI work with virtual economic incentives to create a robust AI-Web3 application ecosystem.