GetChain News
中简 中繁 EN
GetChain News
Toggle sidebar

Online/Update

News linked to both this project and an event.

OpenClaw Releases Version v2026.4.25: TTS Fully Upgraded with Support for Six New Voice Service Providers

According to the official OpenClaw GitHub release notes, OpenClaw released version v2026.4.25 on April 27. This update covers multiple core modules—including speech, plugins, observability, and browser automation—with the following key highlights: • TTS Overhaul: Added support for six new voice service providers—Azure Speech, Xiaomi MiMo, ElevenLabs v3, Inworld, Volcengine (Volcano Engine), and local CLI—and introduced chat-session-level automatic TTS control, TTS persona binding, and cross-Agent/account-level override configurations. • Plugin Registry Optimization: Migrated plugin startup and installation paths to a cold-persistent registry, reducing full-manifest scanning and improving determinism for plugin updates, fixes, and discovery. • OpenTelemetry Expansion: Extended coverage across the full observability pipeline—including model invocations, token usage, tool loops, Harness execution, process execution, message delivery, context assembly, and memory pressure metrics. • Browser Automation Enhancements: Added iframe-aware role snapshots, CDP readiness tuning, one-click headless startup, and deeper browser diagnostic probes. • Installation Stability Improvements: Fixed installation and update issues across Windows, macOS, Linux, and Docker platforms.

Coinbase Upgrades Anti-Fraud System: Integrates Machine Learning and Rule Engine to Shorten Response Time to Hours

Coinbase stated it is optimizing the rule creation process in its anti-fraud system by integrating machine learning models with a rule engine to achieve more efficient risk management. It also proposed a dual-track strategy where "models are responsible for long-term defense, and rules are responsible for rapid response," and built a unified framework that creates a feedback loop between the two: rules are used to capture new types of fraudulent behavior and then inversely train the model, 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 automatically recommended one by restructuring data architecture, automating Schema evolution, and introducing Notebook-based analysis 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 shortened from days to hours. Additionally, the new system recommends parameters through machine learning, which helps reduce false positive rates, minimizing the impact on legitimate users while combating fraud.Coinbase stated that its next steps will be to advance event-driven automatic rule generation and explore the ability to "convert" efficient rules into model features with a single click, further moving towards an automated risk management system.

Justin Sun to Attend B.AI Space Live Stream, Unveiling the Underlying Logic of the AGI Economic Engine

B.AI, the foundational financial infrastructure for the AI Agent era, officially launches today to provide core support for autonomous economic activities of AI agents. At 21:00 Beijing Time on April 9, B.AI will host an English-language live-stream event on X Space. Justin Sun will join industry experts and community representatives to explore the underlying economic engine logic designed for AGI. This event is co-organized by @trondao and @DCBK2LA. To enter the draw for a 10 USDT reward, participants must follow @BAI_AGI, retweet the event post, and tag three friends.

B.AI Officially Launched: The Underlying Economic Engine Driving AGI Evolution

According to official announcements, B.AI (http://b.ai/), the foundational economic engine dedicated to driving the evolution of Artificial General Intelligence (AGI), has officially launched. As an infrastructure-level project designed for the AI Agent era, B.AI will build a standardized on-chain identity system and a frictionless payment protocol, granting machines independent economic sovereignty—enabling them to autonomously conduct value exchange and collaborative coordination, thereby transcending constraints imposed by the physical world and financial gateways. B.AI (http://b.ai/) not only aims to close the economic loop among agents and between humans and agents but also seeks to accelerate the emergence of AGI, realizing truly borderless intelligence and universal sharing of value. The official launch of B.AI (http://b.ai/) marks a pivotal leap from “tool intelligence” to “economic intelligence,” laying the foundational bedrock for building an open, equitable, and inclusive intelligent society.