News linked to both this project and an event.
digital asset platform Gate has released its May 2026 transparency report. The report indicates that multi-asset trading and prediction markets are becoming key growth engines for the platform. As of the end of May, Gate had listed 605 CFD trading assets, covering multiple categories including stocks, indices, forex, metals, and commodities, ranking among the top globally among crypto trading platforms in terms of asset count. Additionally, Gate Stocks allows users to trade over 10,000 US stocks and ETFs from major U.S. markets using USDT, covering the main U.S. securities trading markets and liquidity networks. The platform's direct IPO first-phase project, SpaceX, saw意向 subscription amounts exceed $100 million.Meanwhile, the platform continues to deepen its presence in the prediction market sector. Gate has deeply integrated Polymarket, launching features such as smart money tracking, wallet monitoring, top holdings, profit/loss statistics, and AI analysis. As the first CEX platform to integrate Polymarket, Gate continues to strengthen its advantage as a prediction market gateway, maintaining a leading position in user participation scale, market activity, and ecosystem influence.Furthermore, Gate's flagship event, WCTC S8, successfully concluded in May, attracting over 80,000 participants and 9,500 registered teams. The cumulative total weighted trading volume for the event exceeded $50 billion, with the CFD segment alone accounting for a cumulative trading volume of over $140 billion, reflecting the strong growth momentum of traditional financial assets within crypto trading scenarios. As stablecoins, RWA, asset tokenization, and prediction markets emerge as new growth engines for the industry, Gate will continue to expand its business layout in stocks, forex, and IPOs, aiming to build a comprehensive one-stop global digital financial services platform.
crypto research institution Delphi Digital has released its latest report, "How Far Can Saylor Stretch It," providing a systematic analysis of Strategy's Bitcoin (BTC) capital expansion mechanism. It indicates that the company's financing structure is transitioning from a phase of "low-cost accumulation" into one of "diminishing marginal efficiency."The report shows that within the current asset accumulation system centered on Bitcoin, STRC has become the core financing tool for Strategy's continued BTC purchases. Initially, the company relied on a significant premium in MSTR's stock price (with mNAV far exceeding BTC's net asset value) to create a positive cycle where "issuing shares meant increasing holdings." However, as valuations have receded to approximately 1.24 times the base mNAV of enterprise value, the BTC-per-share accretion effect from common stock issuance is approaching a break-even point.Meanwhile, while convertible bonds have played a crucial role historically, they have accumulated a principal of approximately $8.2 billion and face concentrated repayment pressure after September 2027, putting long-term strain on the sustainability of the financing structure.STRC provides Strategy with a continuous source of financing—used to maintain its BTC buying pace—by offering yield-seeking investors an approximately 11.5% annualized monthly dividend. However, this mechanism also introduces ongoing cash flow obligations, meaning that each round of financing simultaneously builds future dividend burdens while increasing BTC assets.The report emphasizes a key risk scenario: if BTC's price remains stagnant and MSTR's premium fails to recover, the "gains from STRC-financed coin purchases" could be progressively offset by "common stock dilution and dividend obligations." Although the company's approximately $2.25 billion cash reserve can cover its roughly $1 billion redemption pressure in 2027, its larger debt and dividend structure in 2028 remains unresolved.Furthermore, STRC's current authorized issuance limit of approximately $28.3 billion serves as a critical constraint. Once this limit is reached, the capacity for new BTC purchases may slow, yet existing dividend obligations will persist—thereby altering the overall dynamic growth trajectory of BTC per share.
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 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.
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.
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.