Scan to download
BTC $76,813.55 -1.55%
ETH $2,290.37 -2.45%
BNB $623.36 -1.33%
XRP $1.39 -2.17%
SOL $84.51 -2.36%
TRX $0.3254 +0.42%
DOGE $0.0978 -0.98%
ADA $0.2455 -2.44%
BCH $448.62 -0.62%
LINK $9.23 -2.33%
HYPE $41.73 +0.76%
AAVE $97.02 +0.96%
SUI $0.9271 -1.65%
XLM $0.1647 -3.30%
ZEC $357.93 +0.81%
BTC $76,813.55 -1.55%
ETH $2,290.37 -2.45%
BNB $623.36 -1.33%
XRP $1.39 -2.17%
SOL $84.51 -2.36%
TRX $0.3254 +0.42%
DOGE $0.0978 -0.98%
ADA $0.2455 -2.44%
BCH $448.62 -0.62%
LINK $9.23 -2.33%
HYPE $41.73 +0.76%
AAVE $97.02 +0.96%
SUI $0.9271 -1.65%
XLM $0.1647 -3.30%
ZEC $357.93 +0.81%

upgrades

Coinbase upgrades its anti-fraud system, integrating machine learning with a rules engine, reducing response time to a few hours

Coinbase stated that it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rules engine, achieving more efficient risk management. It also proposed a dual-track strategy of "models responsible for long-term defense, rules responsible for rapid response," and built a unified framework to create a feedback loop between the two: rules are used to capture new types of fraud and train the model in reverse, thereby continuously enhancing overall defense capabilities.In terms of specific optimizations, Coinbase has transformed the previously manual rule creation process into a data-driven and automated recommendation system by restructuring data, automating schema evolution, and introducing notebook-based analytical tools, significantly improving efficiency. Among these improvements, the performance of rule backtesting has increased by more than 10 times, and the overall response time has been reduced from several days to a few hours. Additionally, the new system uses machine learning to recommend parameters, helping to reduce false positive rates while combating fraud and minimizing the impact on normal users. Coinbase indicated that the next step will be to advance event-driven automatic rule generation and explore the "one-click conversion" of efficient rules into model features, further moving towards an automated risk management system.

Core member of the Ethereum Foundation, Josh Stark, will be leaving, having led several major upgrades including The Merge

According to The Block, Josh Stark, a key figure at the Ethereum Foundation (EF), announced his resignation after five years and will officially step down at the end of the month. Stark joined the Ethereum Foundation in 2019, initially working in the special projects team, and later rose to leadership, collaborating with EF Chair Aya Miyaguchi, Ethereum founder Vitalik Buterin, and co-executive directors Hsiao-Wei Wang and Bastian Aue.He is one of the most prominent members of the foundation's external image and has led several significant advancements in Ethereum, including the "The Merge" upgrade that transitioned from proof of work to proof of stake, as well as subsequent upgrades like Dencun, Fusaka, and Pectra. During last year's leadership adjustments at the foundation, he was appointed as the "co-manager" of the EF board and recently took on the role of co-chair of the "trillion-dollar security" initiative.Last month, Stark co-authored a strategic blog post on Ethereum with Josh Rudolf and Julian Ma, outlining Ethereum's latest scaling direction and its relationship with the Layer 2 ecosystem. Stark stated, "I haven't planned for the future yet; I just want to take a good rest and spend time with family and friends." This resignation occurs against the backdrop of ongoing changes at the Ethereum Foundation.Last year, the foundation underwent significant leadership adjustments, refocusing its strategic priorities on scaling the Ethereum mainnet and core cypherpunk values; Tomasz K. Stańczak also resigned from his co-executive director position at the end of February this year, having served for less than a year. On the same day, Trent Van Epps also announced his departure from EF to fully dedicate himself to Protocol Guild, the independent funding organization for Ethereum core developers that he founded.

Circle's Arc public chain releases a post-quantum cryptography roadmap, covering full-stack upgrades from wallets to validators

According to the official blog, Circle's institutional-grade blockchain Arc has released a phased upgrade roadmap for post-quantum cryptography (PQ), planning to introduce post-quantum signature schemes at the launch of the mainnet, gradually covering full-stack layers such as private state protection, infrastructure hardening, and validator authentication.The Arc mainnet will support post-quantum signatures from the outset, using an opt-in mechanism that does not require mandatory migration or a full network reset, allowing users to independently create wallets with long-term security. The recent goal is to extend quantum resistance to the private virtual machine (VM) layer, protecting private balances, private transactions, and private payees, with public keys additionally encapsulated in a symmetric encryption layer under privacy mode.The mid-term plan is to advance the upgrade of the infrastructure layer, aligning with industry standards such as TLS 1.3, covering access control, cloud environments, and hardware security modules (HSM). The long-term goal is to complete the hardening of validator signatures. Given that Arc's block finalization time is less than 1 second, the current assessment considers the risk of quantum attacks in this phase to be relatively limited, and it will be steadily advanced after the post-quantum consensus toolchain matures.Circle also warns that attackers may adopt a "collect now, decrypt later" strategy, and institutions should plan their cryptographic migration paths as early as possible.

The Ethereum Foundation expects to complete quantum security upgrades by 2029

The Ethereum Foundation released a new roadmap on Tuesday, outlining how the development team is preparing for the threats posed by quantum computing.The Foundation's quantum team expects a series of preliminary upgrades to the network to be completed by 2029, primarily involving four key hard forks. The Foundation stated that quantum computing will eventually break the public key cryptography that protects ownership, authentication, and consensus in all digital systems, but this threat is not expected to arrive immediately. Researchers from the Foundation's quantum team anticipate that quantum computing with cryptographic capabilities will not emerge for another 8 to 12 years.Among the four hard forks, the "I" fork will provide network validators with quantum-safe public keys, and the "J" fork will reduce the Gas fees for validating quantum-safe signatures; both upgrades have been included in the considerations for the Hegota fork expected to take place later this year. The "L" fork will express the network state as zero-knowledge proofs, while the "M" fork will protect Layer 2 networks from quantum threats.Researchers indicated that Layer 1 protocol upgrades could be completed by 2029, while a complete migration of the execution layer will require several additional years thereafter. The Ethereum Foundation established a dedicated quantum team in January of this year, and a developer testnet began testing some quantum features in March.

Gate upgrades Gate for AI, DEX now supports standardized MCP interface

The global cryptocurrency trading platform Gate has announced the upgrade of its AI Agent infrastructure, Gate for AI. Today, the DEX MCP has been fully upgraded to provide native full-scenario market insights and cross-chain trading capabilities for AI Agents.Gate for AI has now connected CEX and DEX, building five major capability systems. First, centralized trading capabilities (CEX), supporting the invocation of products such as spot, contracts, wealth management, and IPOs; second, on-chain trading capabilities (DEX), supporting Swap, on-chain perpetual contracts, and Meme coin trading, deeply aggregating liquidity from 20+ mainstream public chains, and achieving optimal price execution through smart routing; third, wallet and signature systems, supporting wallet creation and on-chain signing; fourth, real-time information and sentiment data systems, providing structured market news and event data; fifth, on-chain data and industry information query capabilities, supporting queries on currencies, projects, addresses, and risk information.Gate for AI connects centralized and on-chain markets through a unified interface, allowing AI to conduct research, strategy generation, and trade execution within the same framework. After developers integrate mainstream AI systems, AI can directly invoke trading and data capabilities.This system adopts a dual-layer architecture of MCP + Skills, aiming to extend the exchange capabilities from traditional user interfaces to infrastructure that can be invoked by AI. This upgrade marks a gradual shift of trading platform capabilities towards AI-native infrastructure, and Gate will continue to promote the application of AI Agents in the digital asset market.
app_icon
ChainCatcher Building the Web3 world with innovations.