architect

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.

In response to the recent Kelp DAO cross-chain bridge attack, Ondo Finance stated on the X platform that Ondo Bridge is currently operating safely, with no financial losses or abnormal events.Ondo Bridge is also built on LayerZero and employs a customized security architecture consisting of four independent decentralized verification networks (DVN), namely FCAT, LayerZero Labs, Canary, and Ondo's self-developed verifier. Even if a single DVN encounters issues, the security of the transfers can still be guaranteed.

The Ethereum L2 project Linea tweeted that its cryptographic researcher Alexandre Belling announced on Ethproofs that Linea will transition to the RISC-V architecture. The main reason is that each Ethereum hard fork requires a complete rewrite of the constraint module, causing the team to struggle with complexity for a long time instead of pushing for cutting-edge performance. RISC-V only provides 32 registers and about 40 instructions. For the proof system, the tracking range is narrower, can be constructed in real-time, and the prover can immediately start processing proof fragments.In addition, RISC-V has a narrower execution trace and Type-1 compatibility, while retaining zkC (constraint native language), Vortex and Arcane (proof/aggregation stack), and formal verification. Linea stated that this move is highly consistent with the RISC-V roadmap being promoted by the Ethereum Foundation, and more technical details will be announced in a few weeks.

OpenClaw founder Peter SteinBerger posted on the X platform, stating that the team is considering how to make the OpenClaw plugin system more powerful while keeping the core system more streamlined, and plans to add support for the Claude Code and OpenAI Codex plugin packages.He revealed that the next OpenClaw version update is expected to be released this Sunday, and the new version will allow users to ask questions at any time while the AI Agent is performing tasks. Meanwhile, Peter SteinBerger disclosed that the automated task filtering system developed for X is performing well, running every five minutes to automatically identify and clean up spam, marketing replies, and other content, thereby enhancing the effective interaction experience.

Vitalik posted on the X platform, stating that we should maintain an open attitude towards the current separation of the Ethereum beacon chain and execution clients, believing that the complexity of running two daemons and having them communicate with each other is significantly higher than running a single daemon.Vitalik pointed out that Ethereum's goal is to allow users to use the network in a self-hosted manner and have a good user experience, which in many cases means needing to run their own nodes. However, the current way of running nodes adds unnecessary complexity. He suggested that in the short term, a more standardized foundational packaging solution could allow users to install Docker images of different clients and achieve more convenient communication. At the same time, as the LeanEthereum consensus scheme matures, the overall architectural design should also be reconsidered in the future.

Binance announces the upgrade of the U-based contract WebSocket URL architecture to support traffic growth and enhance overall stability and scalability. The new architecture is divided into three specialized base URLs by data category: Public (high-frequency public market data), Market (regular market data), and Private (user data stream).The new WebSocket URL is available for use starting today, and the old URL will be permanently decommissioned on April 23, 2026. Additionally, this upgrade continues to support both ws and stream access modes and combined subscriptions.

The digital asset trading platform Gate officially launched Gate for AI, introducing the industry's first unified AI entry point that integrates five major capabilities—CEX, DEX, wallets, real-time information, and on-chain data—under the same interface system.Gate for AI adopts a dual-layer capability structure. In this architecture, MCP provides standardized basic interfaces, covering functions such as market data, account information, trade execution, and on-chain data queries, enabling AI to quickly access and utilize platform capabilities; Skills encapsulates higher-level strategy modules based on this, such as market scanning, position range assessment, and risk analysis, helping AI make more complex trading decisions.In addition, Gate for AI supports multi-platform calls, lowering the usage threshold and catering to users with different needs. This release marks the upgrade of the exchange's capabilities from interface products to directly callable AI infrastructure, pushing digital asset trading into the era of Agent-native.

According to The Block, Architect Financial Technologies, founded by former FTX US president Brett Harrison, plans to launch perpetual futures contracts linked to GPU and memory pricing.The announcement states that the company's trading platform AX, aimed at institutional users, is set to introduce perpetual futures designed to track the daily rental prices of GPUs used for training and inference of artificial intelligence models, as well as dynamic random-access memory (RAM) pricing, and is currently awaiting regulatory approval. It is reported that these contracts are being developed in collaboration with computing index provider Ornn Data, which provides benchmarks based on real-time GPU trading data.In December last year, Architect Financial Technologies completed a $35 million funding round, with a valuation of approximately $187 million.

According to The Information, former FTX US president Brett Harrison has completed a $35 million funding round for his newly founded Architect Financial Technologies, with a valuation of approximately $187 million.Its exchange AX focuses on perpetual contracts for traditional assets (stocks and forex), rather than crypto perpetuals. The platform is regulated in Bermuda and is only open to non-U.S. institutional investors, as the U.S. has not yet approved perpetual futures products.

ChainCatcher news, at the Silicon Valley 101 x RootData annual summit held in Silicon Valley, AWS Solutions Architect Justin Lin delivered a keynote speech, systematically explaining how enterprises can achieve the transformation path from proof of concept to large-scale implementation through AWS AI.Justin Lin pointed out that the development of AI is undergoing an evolution from generative assistants to intelligent agent AI systems, and in the future, fully autonomous workflows and multi-agent collaboration will be realized. He emphasized that model selection and evaluation are core aspects of enterprises applying AI. By 2028, most enterprises will deploy dozens of generative AI models, necessitating the establishment of a systematic testing framework and the design of architectures that support model switching.Regarding trustworthy AI, he cited data indicating that 66% of corporate executives view data privacy and security as the primary risks, recommending the construction of a security system from multiple dimensions such as identity management, encryption, and audit logs. AWS's three pillars of AI—freedom to innovate, trustworthy AI, and maximizing value—provide comprehensive technical support for enterprises.The speech also showcased a practical case from Crypto.com, where the use of Amazon Bedrock and SageMaker improved the accuracy of its AI assistant tasks from 60% to 94%, providing real-time market sentiment analysis for over 100 million users, validating the effectiveness of AWS AI in the cryptocurrency field.