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ETH $2,291.86 -2.79%
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XRP $1.39 -2.27%
SOL $84.43 -2.39%
TRX $0.3261 +0.79%
DOGE $0.0981 -0.69%
ADA $0.2459 -2.29%
BCH $448.73 -1.06%
LINK $9.24 -2.24%
HYPE $41.46 -1.26%
AAVE $96.93 +0.44%
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verifi

first_img Vitalik Buterin: Ethereum does not pursue speed but aims to become the safest chain, achieving ZKVM dominant verification before 2028

ChainCatcher reports live from the 2026 Hong Kong Web3 Carnival, where Ethereum co-founder Vitalik Buterin delivered a keynote speech. He defined Ethereum by two core functions: first, as a public bulletin board for applications to publish messages and data; second, as shared digital objects controlled by code, encompassing assets, NFTs, ENS, and DAOs. He emphasized that Ethereum's goal is not to compete with high-frequency trading platforms on speed, but to become the most secure, decentralized, and always-online trusted chain.Regarding the short-term roadmap, he introduced the account abstraction proposal EIP-8141, which natively supports smart contract wallets, quantum-resistant signature algorithms, and privacy protocols; in terms of quantum resistance, there are currently two signature schemes based on hash and lattice, and the team is significantly enhancing their efficiency through EVM vectorization.He revealed that ZKVM is fast enough to prove real-time EVM execution, with this year's goal being to ensure its security, planning to start deployment from a small proportion of the network, aiming to become the primary method of validation by 2028, allowing Ethereum to scale significantly without sacrificing decentralization. In terms of long-term vision, Ethereum is actively utilizing AI to generate mathematical proofs to formalize software security verification, pursuing complete quantum safety and maximum simplicity to ensure platform security does not rely on the continuous existence of any single team.

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.
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