Product feasibility is the gold standard for measuring the potential of crypto AI projects, but true decentralization is its holy grail. A few days ago, the Talus research report released by Messari, a top cypto research institution, prompted me to think more deeply. In the crypto AI sector, projects with core products already implemented are not rare; projects like Fetch and Olas are highly mature. However, the vast majority of them adopt a hybrid model of "off-chain computation + on-chain settlement." Because the logic of AI decision-making is not fully on-chain, the entire decision-making process is a "black box," and outsiders cannot verify whether the decision follows the preset logic. This is not true decentralization, nor is it true DeAI. True DeAI: AI on the entire blockchain Talus fills the gap in the DeAI infrastructure sector, transforming AI agents from black-box tools into a fully decentralized, on-chain verifiable, and on-chain-accountable independent economy. Talus's core concept is "full-chain AI," which means that the entire process of an AI agent—from logic and state to decision-making steps—is written into smart contracts and executed directly on the blockchain. Under this architecture, anyone can verify the historical behavior and decision-making path of the AI agent without needing to trust a third party. DeAI's Trilemma Similar to the classic blockchain trilemma, the DeAI field also faces a trilemma: the trade-off between decentralization, performance, and cost. Talus cannot eliminate this trilemma, but it cleverly balances the three based on its Nexus core framework. Decentralization requires all AI agent logic, state, and decisions to be fully on-chain. Pure on-chain execution of computationally intensive tasks can easily cause performance bottlenecks, especially in scenarios with multiple agents running concurrently. Talus is based on Nexus, the first self-developed full-chain AI agent framework. It anchors all the key behaviors of the AI agent (decision logic, workflow status, settlement results) on the chain and ensures that they are verifiable and free of black boxes through smart contract execution and recording on Sui. This is also why Talus chose Sui as its underlying chain: Sui's MoveVM supports parallel transaction processing and allows multiple AI agents to execute concurrently. Talus has found a viable path in the three-fold dilemma of the DeAI field, filling the gap in decentralized AI infrastructure to some extent, but the road to decentralization of AI agents is still long and arduous.Product feasibility is the gold standard for measuring the potential of crypto AI projects, but true decentralization is its holy grail. A few days ago, the Talus research report released by Messari, a top cypto research institution, prompted me to think more deeply. In the crypto AI sector, projects with core products already implemented are not rare; projects like Fetch and Olas are highly mature. However, the vast majority of them adopt a hybrid model of "off-chain computation + on-chain settlement." Because the logic of AI decision-making is not fully on-chain, the entire decision-making process is a "black box," and outsiders cannot verify whether the decision follows the preset logic. This is not true decentralization, nor is it true DeAI. True DeAI: AI on the entire blockchain Talus fills the gap in the DeAI infrastructure sector, transforming AI agents from black-box tools into a fully decentralized, on-chain verifiable, and on-chain-accountable independent economy. Talus's core concept is "full-chain AI," which means that the entire process of an AI agent—from logic and state to decision-making steps—is written into smart contracts and executed directly on the blockchain. Under this architecture, anyone can verify the historical behavior and decision-making path of the AI agent without needing to trust a third party. DeAI's Trilemma Similar to the classic blockchain trilemma, the DeAI field also faces a trilemma: the trade-off between decentralization, performance, and cost. Talus cannot eliminate this trilemma, but it cleverly balances the three based on its Nexus core framework. Decentralization requires all AI agent logic, state, and decisions to be fully on-chain. Pure on-chain execution of computationally intensive tasks can easily cause performance bottlenecks, especially in scenarios with multiple agents running concurrently. Talus is based on Nexus, the first self-developed full-chain AI agent framework. It anchors all the key behaviors of the AI agent (decision logic, workflow status, settlement results) on the chain and ensures that they are verifiable and free of black boxes through smart contract execution and recording on Sui. This is also why Talus chose Sui as its underlying chain: Sui's MoveVM supports parallel transaction processing and allows multiple AI agents to execute concurrently. Talus has found a viable path in the three-fold dilemma of the DeAI field, filling the gap in decentralized AI infrastructure to some extent, but the road to decentralization of AI agents is still long and arduous.

                                                                               Office of the Comptroller of the Currency’s Jonathan Gould says crypto companies should have a path to supervision in the banking system, which can evolve to embrace blockchain.                     Crypto companies seeking a US federal bank charter should be treated no differently than other financial institutions, says Jonathan Gould, the head of the Office of the Comptroller of the Currency (OCC).Gould told a blockchain conference on Monday that some new charter applicants in the digital or fintech spaces could be seen as offering novel activities for a national trust bank, but noted “custody and safekeeping services have been happening electronically for decades.”“There is simply no justification for considering digital assets differently,” he added. “Additionally, it is important that we do not confine banks, including current national trust banks, to the technologies or businesses of the past.”Read more