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SOL $85.68 -1.43%
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BCH $441.55 -0.94%
LINK $9.24 -1.56%
HYPE $43.22 -2.14%
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ChainCatcher "From Cryptocurrency to Smart Economy" Roundtable: AI Agents are shifting from conversational to executable, with trust and verifiability becoming key bottlenecks for scalability

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, guests including KiteAI's Asia Pacific head Laughing, Sentient's Asia Pacific head Anita, Brevis content director Nic Tang, Mentis product head Jerry, and Predict.fun's Asia Pacific BD head Ah Huang Ricardo engaged in a roundtable discussion on the theme "AI × Crypto --- The Foundation of the Next Generation Digital Economy."Regarding whether the outbreak of open-source AI Agents (such as "raising lobsters") is a short-term sentiment or a long-term trend, Laughing believes this marks a paradigm shift of AI from "conversational" to "executive," signaling the beginning of a long-term trend. However, Agents lack a physical identity, making it difficult for merchants to trust their trading behavior, and issues of data leakage and uncontrollability remain obstacles that must be overcome for scaling. Jerry pointed out, based on his own usage experience, that current Agents face security risks such as memory fuzziness, token consumption in dead loops, and accidental file deletion. Although newly emerged Agents have improvements, they still have shortcomings. Ah Huang Ricardo stated that behind the short-term sentiment is real user demand, but truly reproducible profitable trading Agents are still very rare, and there is a long way to go.Addressing core bottlenecks such as trust, security, and verifiability, Nic Tang emphasized that the current execution process of Agents is like a black box, where users cannot verify whether their decisions are executed as promised. Zero-knowledge proof technology can mathematically prove the source of an Agent's output and compliance with behavior, while not exposing privacy. Anita added that Sentient is committed to building an open and collaborative AI agent network, promoting the deep integration of AI and blockchain in identity, data, and incentive layers, providing foundational support for the next generation digital economy.Regarding the application scenarios that are likely to scale first, the guests generally believe that the programming field is relatively mature, and Agents in prediction markets perform better than humans in specific tracks due to their rationality and lack of emotions. In the short term, they are optimistic about API Marketplace and cross-platform consumer shopping Agents, while in the medium term, they are optimistic about content creation AI (such as AI influencers). Agent-to-Agent interaction and the Agent/Skill Marketplace are seen as important future trends.

Tencent Cloud Industry Architect Alan Nie: The dual engines of Cloud + AI drive Web3 to break through the bottlenecks of infrastructure and R&D efficiency

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, Tencent Cloud's industry architect Alan Nie delivered a keynote speech titled "Cloud + AI Dual Engine: Tencent Cloud Empowers New Growth in Web3."Alan Nie pointed out that Web3 enterprises face three major bottlenecks in global infrastructure, R&D efficiency, and business intelligence. Tencent Cloud deeply integrates the "Cloud + AI" dual engine to provide low-latency infrastructure covering the globe. Among them, the Singapore data center is the only cloud provider in the world that offers four availability zones, and the self-developed TDSQL-C database can achieve elastic scaling in seconds, with Redis single-node performance reaching over 300,000.In terms of AI empowerment, Tencent Cloud launched CodeBuddy (AI Pair Programmer) and WorkBuddy (Personal AI Assistant), which can automatically generate code, batch process office documents, organize meeting minutes, and support multi-agent parallel execution of complex tasks. In financial scenarios, the automation research report reproduction cycle has been shortened from three days to half a day; in on-chain data analysis scenarios, storage costs have been reduced to one-tenth of the original, with query responses reaching millisecond levels.Alan Nie stated that Tencent Cloud is committed to using the "Cloud + AI" dual engine to help Web3 enterprises build the next generation of smart economic infrastructure.

Gongye Feng, founder of Monera Digital: AI should serve as a "trust accelerator" for private banking, rather than replacing traders

At the "Crypto 2026: From Cryptocurrency to Smart Economy" themed forum held in Hong Kong, Gongye Feng, co-founder and CEO of Monera Digital, delivered a keynote speech titled "AI Empowered Private Banking for the Smart Economy."Feng pointed out that what disappeared after 2022 was not the demand for digital assets, but the market's confidence in the ways capital could enter. Monera Digital positions itself as an AI private bank for the smart economy, with the core not being to use AI as traders, but to act as an accelerator, compressing the research, testing, and iteration cycles from months to days.He emphasized that risk control must be institutionalized rather than personalized. Monera has built four lines of defense: source constraints on exposure and collateral, automated clearing and margin management, complete segregation of client assets, and eliminating maturity mismatches while maintaining liquidity buffers. Additionally, AI plays the role of a 24/7 digital CRO, achieving a leap from passive monitoring to proactive warning.In terms of service model, Monera does not operate as a pure technology platform, but insists on "anti-AI illusion," where AI is responsible for optimization and efficiency, while trust, responsibility, and continuity of relationships are still borne by humans. Feng believes that the prerequisite for crypto assets to truly become configurable assets is to translate complexity into clear, continuous, and trustworthy private banking services.
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