加密版微信?Coinbase钱包新版本初体验

Odaily星球日报Опубліковано о 2025-07-14Востаннє оновлено о 2025-07-14

Анотація

Coinbase钱包新版本内测全教程,它会是下一个杀手级应用嘛?

6 月 29 日,Base 联合创始人 Jesse Pollak 在 X 平台发布预告称将于 7 月 16 日发布重大公告,综合市场和社区讨论,下周 Coinbase 或将宣布与钱包产品相关的更新。BlockBeats 已获得 Coinbase 钱包新版的内测资格,并将在本文中为读者抢先揭示其新版钱包如何试图在社交发现、交易动线与创作者经济之间搭建一个融合平台。

加密版微信?Coinbase钱包新版本初体验

不同于传统钱包仅服务于资产存取与交易执行的定位,新版 Coinbase 钱包被赋予了更大的使命:它试图成为链上内容的分发平台、开发者产品的推广通道,乃至交易者与创作者的新社交广场。这种由钱包主导的分发逻辑背后,是 Coinbase/Base 对链上用户增长瓶颈的深刻反思——当用户完成首次交易后停滞不前,链上经济的飞轮也就难以转动。而要让用户「停留」,让产品「出圈」,他们选择将钱包重写为一个「社交驱动、交易激励、创意可持续」的开放系统。

Coinbase 钱包的进化

Coinbase 钱包此前的版本与其它加密钱包的基本功能并无二致。

加密版微信?Coinbase钱包新版本初体验

Coinbase 钱包老版本界面

新版本钱包主要分为首页、社交、交易、聊天、通知和钱包余额。

加密版微信?Coinbase钱包新版本初体验

在主操作界面,有 AI Agent 对话、应用精选和 Mini App 合辑。

加密版微信?Coinbase钱包新版本初体验

应用则是加密生态内的热门项目,例如 Noice、Fantasy、Morpho 等,用户可以直接打开 Mini App 操作。

加密版微信?Coinbase钱包新版本初体验

而这次钱包更新最大的改变在于和 Farcaster 的集成,类似于微信的朋友圈,在钱包内汇集了信息流、视频、Farcaster 用户系统、通知等。

加密版微信?Coinbase钱包新版本初体验

区块链没有社交,只有消费者社交

接入 Farcaster 看推文刷短视频、能够跟自己朋友甚至 AI 直接聊天、点外卖、玩游戏嵌入多个社交应用的 Coinbase Wallet 俨然成为了一个超级集成。而此前单纯的社交应用,区块链的失败案例远比成功案例多得多,Lens、Mastodon、nostr 从 DID 或社交主权入手的概念产品一批一批的倒在了前路,在这个与「钱」高度相关的市场里似乎没有人愿意为赚不到钱的「社交」买单。

而在市场逐渐反应过来之后,项目方开始把「钱」融入社交,诞生出了 Consumer Social 的赛道,其中最先破圈的就是曾经的现象级社区 App Friend.Tech,而该赛道最成功的应该是近期即将「发币」的 PumpFun,而投资 PumpFun 的 AllianceDao 的创始人 wangqiao「QwQiao」也曾多次在采访或公开场合表示,AllianceDAO 把消费者社交的应用当作主要投资的区块链赛道之一,并表示「社交交易产品正处于边缘大规模采用阶段。」

加密版微信?Coinbase钱包新版本初体验

VC 投资的社交赛道数量,在 2022 年左右达到巅峰至今仍在持续增加,源:Cryptorank

事实上有多家顶级风投对社交交易赛道持乐观态度。Pantera Capital 合伙人 Paul Veradittakit 从创作者的生态角度出发,其表示「Web3 社交平台为用户与创作者、影响者之间的互动提供了新方式。例如去中心化社交协议 Farcaster 推出的「可嵌入帖子(Frames)」功能」迅速得到市场关注,在 Solana 上也衍生出可以在 X 上嵌入的 Blinks。而这类项目不是个例,像是去中心化社交协议 DeSo 生态上线的 Focus 应用,允许用户用加密货币付费订阅内容,并引入代币化创作者经济循环,抑或者把创作者内容代币化的社交应用 Zora 等等。

而 a16z 的创始人之一 Andreessen Horowitz 则更看重交易带来的「跟单」社交,年轻投资者正重回主动交易并乐于跟随成功交易者策略。在其 Fintech 报告中指出,未来散户会越来越多地「跟随」擅长投资的个人,相当于数字时代的明星基金经理,例如 eToro 的加密跟单功能就是零售跟随交易策略的典型实践。报告还强调「底层社区」正崛起,Stocktwits、WSB、Commonstock 等社区通过透明的交易数据和协作工具,将交易行为和社交媒体结合在一起。这意味着新一代投资者倾向于在社交平台上共享信息、共同发现 Alpha。

主流区块链风投青睐社交交易赛道,主要原因在于该领域能够整合社区共识和创作者经济,降低投资门槛、增强用户黏性。他们认为,在去中心化的社交网络上公开交易思路、社区共创投资策略(如复制跟单、多层激励社群)将成为新趋势,这不仅可教育和激励用户,还可能创造新的社区驱动 Alpha。而从另一方面该模式的活性如果能带动创作者经济带来良性的内部循环则能改变现有的「社交格局」。

当前社交主权的逻辑可能从驱动用户参与社交变为,将交易者融合成社交圈——利用庞大的交易者圈层带动创作者经济——形成闭环后财富效益溢出(交易者获得 Alpha、创作者获得补贴等)从而获取更广域的流量。

加密版微信?Coinbase钱包新版本初体验

社交赛道的涨跌与大盘周期并不相符呈现独立行情,源:SoSoValue(黄:BTC、蓝:ETH、红绿:社交赛道指标)

Coinbase 投资的哪些项目「塞进」Coinbase Wallet 后能 1+ 1>2 

而所有机构中推广社交金融这个概念力度最大的应该就是 Coinbase/Base,也是对该领域投资力度最大的 VC 之一。

从创作者金融到 Trading 社交、从稳定币支付到实体社交消费,现如今 Coinbase 的投资版图已经足以支撑一个完整的超级应用闭环了,除了现有的功能还有什么应用可以让 Coinbase Wallet 变得更加「万能」呢?

加密版微信?Coinbase钱包新版本初体验

各 VC 投资「社交赛道」的数量不完全统计,实际 Coinbase 投资「类社交应用」更多,源:Cryptorank

Towns

Towns 是一个专为在线社区设计的群聊协议和应用程序,整体更像一个去中心化、端到端的加密版本的社区 DAO 组织集中地,如果添加到应用中,除了现有应用内的对话聊天,整体玩法将更上一个台阶,就产品功能而言,内嵌在钱包中的可编程群组,对比现有大量行业内在 TG 订阅交易、新闻群组能有更多的功用(例如设置自动跟单群组中的 CA、新闻)。

加密版微信?Coinbase钱包新版本初体验

ZAR

ZAR 可以让用户找到附近的稳定币商家,安全便捷地将现金兑换为数字货币。在任何接受 Visa 的地方都可以使用 ZAR 借记卡。如果该功能嵌入 Coinbase 钱包后,在许多稳定币使用广泛的地区,商铺与购买者的复用率将大大提高。

加密版微信?Coinbase钱包新版本初体验

limitless

Limitless 是社交预测协议,与「Polymarket」的功能类似,创建者可以轻松配置市场并将其与社区分享。而其模块化的 UI 也十分适合在移动端嵌入,同时其 Feed 串流则能够显示链上其他人或好友的购买情况。

加密版微信?Coinbase钱包新版本初体验

Blackbird

Blackbird 是一家专注于利用餐厅和客人之间的忠诚度和支付公司,类似于会员制的大众点评,为餐厅提供完全可定制的忠诚度模型和消费者应用。Blackbird 可以是用户的钱包,也可以是某个餐厅的会员。若 Coinbase 钱包现有的外卖功能与其集成绑定同一用户将大大提升使用者权益。

加密版微信?Coinbase钱包新版本初体验

从单一的加密资产管理工具,跃迁为一个融合社交关系、交易执行、内容分发与线下消费的「链上超级入口」。其对 Farcaster 的深度集成,使钱包不仅能承载资产与 DApp,还内嵌了社交时间流、短视频、聊天、信息推送等模块,重构了用户的交互方式与停留动线。与此同时,钱包中嵌入的 MiniApp 与应用推荐系统,则让其承担起了 Base 生态项目发现与冷启动的功能,同时使 Coinbase 对旗下「支付 、社交 、交易 、消费」的生态项目闭环。

区块链钱包不再只是「区块链的入口」,Coinbase Wallet 选择的路是成为 Crypto 世界的操作系统和社交枢纽,它是一张链上的社交地图,也是一台不断产生活跃交易和内容的分布式机器,加密版的「微信」可能正在路上了。

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Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

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Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

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The Biggest Dark Horse in AI Payments Might Be Coinbase Giving Agents a Wallet

In the AI payments race, while most focus on traditional giants like Visa or AI platforms like OpenAI, Coinbase has quietly emerged as a key player. Data from 2026 shows over 90% of on-chain Agent transactions occur on Coinbase's Base network, with 99% settled in USDC and over 97% using the x402 protocol. Coinbase's pivotal move was launching "Agentic Wallets" in February 2026—a dedicated wallet infrastructure giving AI Agents their own financial identity. Unlike Visa or Stripe, which connect Agents to existing payment rails, Coinbase provides Agents with autonomous wallets to hold assets (like stablecoins), initiate transfers, and execute transactions under predefined rules. This solves core issues for machine-to-machine payments: high credit card fees for micropayments, the need for constant human authorization, and unclear transaction attribution. Coinbase's strength lies in its closed-loop ecosystem: the Base blockchain (low-cost, high-throughput), the x402 payment protocol, Agentic Wallets, and native assets like USDC. This integrated stack, built through years of infrastructure investment, positioned Coinbase to capture early Agent payment demand as the AI economy surged. The key insight is that AI payment adoption may depend less on whose standard wins and more on whose usable infrastructure is ready first. While debates over protocols and payment rails continue, real Agent transactions are already flowing—primarily through Coinbase's ecosystem. It may not be the ultimate winner, but for now, it's the frontrunner by being prepared.

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Dialogue with Bitwise CIO: Bitcoin May Be Near Bottom, Who Will Drive the Next Rally?

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Dalio Warns of U.S. Bond Supply-Demand Imbalance: Gold and Bitcoin Could Become Hedge Assets in Debt Crisis

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