币界网

币界网消息，4 月 11 日，开源 AI 客户端框架 OpenClaw 发布最新版本 v2026.4.10，本次更新以功能扩展与安全加固为双主线，累计合并修复超百项问题。核心新功能方面，最受关注的是全新的 Active Memory（主动记忆）插件——在主回复前引入专属记忆子代理，可自动拉取用户偏好、历史上下文及相关细节，无需用户手动触发"记住这个"指令，支持多种上下文模式与详细调试选项。Codex 集成方面，新增独立的 Codex Provider 与插件托管服务端，使 codex/gpt-*系列模型拥有独立的认证、原生线程、模型发现与上下文压缩能力，与原有 OpenAI 路径完全解耦。此外，macOS 平台新增基于 MLX 的本地语音合成实验性支持，视频生成板块接入 Seedance 2.0 模型。平台与渠道方面，Microsoft Teams 新增消息置顶、反应等操作，Matrix 支持 MSC4357 实时打字动画，QQ 机器人支持流式输出模式配置，Feishu 部署标准化了用户代理标识。安全加固是本次更新另一重点，涵盖浏览器 SSRF 防御、沙箱导航白名单、exec 预检强化、插件依赖扫描、Gmail 令牌脱敏、WebSocket 帧超限处理等多个安全面，同时修复了 WhatsApp 媒体发送静默丢失、Teams 媒体下载异常、Telegram 与 Matrix 多账户路由等长期存在的渠道问题。代理框架层面，默认 LLM 空闲超时延长至 120 秒，子代理完成通知去重，vLLM 推理模型空工具调用导致的无限挂起问题得到修复。

币界网消息，Grayscale在官网发文表示，已更新拟考虑纳入未来投资产品的加密资产名单。根据最新列表，Currencies领域包含比特币及XRP等；Smart Contract Platforms新增Stacks、Sui、Toncoin及Tron等；Financials领域拟考虑资产包括Ethena、Hyperliquid及Jupiter等；Consumer & Culture包含Dogecoin及Decentraland等；AI领域拟考虑资产包括Worldcoin、Virtuals Protocol、Story及Grass等；Utilities & Services领域则包含Chainlink、LayerZero及Helium等。Grayscale表示，该名单每季度进行评估，旨在为投资者提供多样化的数字资产投资选择。

币界网消息，据 OneBullEx 官方公告，平台 4 月会员日活动已正式开启，本期开放 OBE 积分 1:1 兑换 USDT，奖池高达 300,000 USDT。活动于 4 月 11 日 11:00 至 20:00（GMT+4）进行，共分为 10 轮开放，每轮约设 1,500 个兑换名额，先到先得，兑完即止。 据介绍，用户每次参与兑换需消耗 20 积分，完成兑换后，相应 USDT 奖励将直接发放至账户。参与本次活动的用户需满足账户内积分不少于 500 的条件，具体到账数量及参与规则以活动页面展示为准。 币界网消息，OneBullEx 已将每月 11 日设为固定会员日节点，围绕积分兑换、任务激励及社区互动等机制，持续强化用户参与和平台活跃。作为 OneBullEx 积分体系的重要权益场景，会员日进一步强化了 OBE 积分的兑换属性与实际使用价值。

According to CoinWorld, yesterday (April 10, Eastern Time) the total net inflow of Ethereum spot ETFs was $64.949 million. The Ethereum spot ETF with the highest single-day net inflow yesterday was Blackrock ETF ETHA, with a net inflow of $53.6982 million, and the historical total net inflow of ETHA has reached $11.731 billion. The second was Blackrock Staked ETH ETF ETHB, with a net inflow of $8.1043 million, and the historical total net inflow of ETHB has reached $377 million. The Ethereum spot ETF with the highest single-day net outflow yesterday was Fidelity ETF FETH, with a net outflow of $561,000, and the historical total net inflow of FETH has reached $2.229 billion. As of the time of publication, the total net asset value of Ethereum spot ETFs was $12.965 billion, and the ETF net asset ratio (market value compared to the total market value of Ethereum) reached 4.76%, with a historical cumulative net inflow of $11.668 billion.

According to a report from CoinWorld on April 11, AI infrastructure company Ramp Labs released research results titled 'Latent Briefing', achieving efficient memory sharing among multi-agent systems through direct compression of large model KV caches, significantly reducing Token consumption without sacrificing accuracy. In mainstream multi-agent architectures, the orchestrator breaks down tasks and repeatedly calls worker models, leading to an exponential increase in Token usage as the inference chain extends. The core idea of Latent Briefing is to utilize attention mechanisms to identify the truly critical parts of the context, discarding redundant information directly at the representation layer, rather than relying on the slow LLM summaries or the less stable RAG retrievals. In the LongBench v2 benchmark test, this method showed remarkable performance: Worker model Token consumption was reduced by 65%, with the median Token savings for medium-length documents (32k to 100k) reaching 49%, and the overall accuracy improved by about 3 percentage points compared to the baseline, while the additional time cost for each compression was only about 1.7 seconds, accelerating approximately 20 times compared to the original algorithm. The experiments used Claude Sonnet 4 as the orchestrator and Qwen3-14B as the worker model, covering various document scenarios such as academic papers, legal documents, novels, and government reports. The research also found that the optimal compression threshold varies depending on task difficulty and document length—challenging tasks are suitable for aggressive compression to filter speculative reasoning noise, while long documents are more suitable for mild compression to retain scattered key information.

CoinWorld News reports that Mike Selig, the chairman of the U.S. Commodity Futures Trading Commission (CFTC), announced the first members of the newly established Innovation Working Group, aimed at providing clear industry rules for American innovators. This working group is led by Michael Passalacqua, a senior advisor to Mike Selig, and the first five members include former Latham & Watkins crypto lawyer Hank Balaban, former Patomak crypto and predictive markets advisor Sam Canavos, CFTC legal veteran Mark Fajfar, former Sidley blockchain lawyer Eugene Gonzalez IV, and CFTC Market Participants Division special advisor Dina Moussa. Additionally, Mike Selig released an Innovation Tracker, highlighting the agency's work in advancing regulatory clarity, market integrity, and technological progress, with a focus on areas including cryptocurrencies and blockchain, AI and autonomous systems, contracts and predictive markets.