此外还有刚刚完成续约的迈尼昂，也有被切尔西挖角的风险。

1、亚搏手机 美国的亚特兰大之夜，三狮军团在1比0领先的大好局面下，被阿根廷人终场前连灌两球，恩佐·费尔南德斯和替补登场的劳塔罗·马丁内斯联手完成了逆转。

毕竟，市场反馈才是真正的评价。亚搏手机这是英格兰队史第四次闯入世界杯半决赛，此前三次中最近两次均铩羽而归。

2、百胜旗下肯悦咖啡牵手足球小将，一年前根本没人敢想

早在上赛季结束、阿隆索接手球队之前，加纳乔在伦敦西区的未来就已经打上了问号。

3、阿根廷28岁巨星梦游！被门将过掉2次+4场才进1球，梅西后继无人

在总助攻榜上，他以4次助攻暂时落后于法国球员奥利塞的5次；在射正榜上，他以18次微弱劣势落后于姆巴佩的19次；在被犯规榜上，他以16次落后于多库的18次。

4、体检报告里这3项异常，竟是癌症信号？9成人不重视，后悔太晚！

抉择：做深场景还是做广平台？ Agent商业化，到底是做深场景，还是做广平台？哪种模式更可持续？商业抉择背后的逻辑依然需要回归到市场需求。

5、王兴兴登《时代》封面，回应走红“另一面”：硬核科技的突破需要时间

两队历史14次交锋平分秋色，堪称足坛最势均力敌的对决。

谁能长期交付稳定、可用的算力，谁才真正赢得这片市场。

阿莫林最受红鸟财团器重的能力是擅长培养年轻球员，战术打法先进，完全符合米兰的建队思路。

6、ED网红病，正在掏空年轻女性

在这场战术博弈中，法国队寄予厚望的边路爆点奥利塞彻底迷失。

资料显示，截至目前滔搏拥有约9290万累计用户，其深度下沉的线下零售网络，已成为其抵御此次冲击、维持行业地位的最大筹码。

7、犯人和家属威胁医生必须收住院，否则就投诉

两黄变一红，恩博洛被直接罚下，掩面痛哭的他成为了瑞士队出局的“千古罪人”。

加维：存在感不强 把一位21岁的世界冠军称作输家，需要加上一句明显的补充说明。

8、女子吃虾后运动，全身发痒险没命！3种过敏“斩杀线”很多人不知道

我们当然想赢，但最终，我心中更多的是感激。

纸面实力上英格兰阵容厚度更优，全队身价接近14亿欧元。

在社交网络上，“图赫尔真的是追着凯恩杀”成为了最热门的调侃与控诉。

9、正式确定！上海海港签约2名强援，亚冠专属外援，具体细节曝光

锂价下探背后的焦虑 业绩大幅回暖，股价却逆势走弱，核心症结完全在于碳酸锂市场的远期悲观预期。

当繁华落尽，绿茵场上的胜负终将定格，但对于无数技术流球迷而言，这场决赛更像是一场盛大的“换装仪式”。

10、农业农村部副部长感谢媒体用镜头记录丰收：建议大家到农业生产一线去看看秋粮希望的田野

目前奥利塞正随法国队备战世界杯，阵中包括姆巴佩、楚阿梅尼在内的多名皇马球员，也让他对来自伯纳乌的关注心知肚明。

然而，也正是这份乐观，导致礼来在2013年遭遇巨大的“瓶颈”。

1、一个异性，能为你做到这3件事，说明是真爱

此后，它的产品类别从美妆工具延伸至脱毛仪、射频美容仪、光疗面罩等产品，逐步转向功效型美容设备。

2、多维提质：“十五五”规划勾勒残疾人高质量发展新蓝图

一旦朗尼克全面接管，伊布可操作的实际职权就会被迅速压缩，这是他不愿接受的。

3、时代锐评丨买酒送原始股？不要为一张“画饼”赌上半生积蓄

回首过往，齐达内的执教履历堪称辉煌。比赛还剩1天，阿根廷先迎来一大喜讯，取胜瑞士晋级四强彻底稳了荣耀带来了全球首款机器人手机Robot Phone，机身顶部藏着一套钛合金机械云台，能像一只小“手”一样追踪用户、随音乐摆动；努比亚联合字节跳动推出了搭载豆包助手的NaviX Ultra，号称全球首款AI智能体手机；阶跃星辰则发布了全球首款大模型原生智能体手机STEPX Neo，从操作系统底层开始重构。

4、健康日历

不可否认，二季度特斯拉关税确实增加了约3亿美元成本，但剥开账本看，扣除信贷收入后的经营利润只剩4.84亿，缺口远不止3亿。

5、从“红牌特赦”到“联合国提名”：特朗普的足球外交与权力版图

甜品最初源于乐园内的餐饮需求，现在已经发展成为独立业务线，POP BAKERY在多地开设快闪车试水，并在今年5月于秦皇岛阿那亚落地首家正式门店。

6、数学公式之外还有足球相伴：菲尔兹得主邓煜的巴萨情缘

他公开确认，国际足联将在本届世界杯结束后，正式研讨将世界杯参赛队伍进一步扩充至64支球队的可行性。

阿莫林正式上任米兰主帅后，球队的夏窗转会思路逐渐清晰，这位葡萄牙主帅已经向管理层提交了引援名单，其中三个目标都是葡系球员，包括两名阿莫林在葡萄牙体育时期的旧部，以及葡萄牙中锋贡萨洛·拉莫斯，不过马竞是强有力的竞争对手。

这段珍贵的画面成为了两人羁绊的起点。

7、离谱！2026年世界杯决赛前发布会卖门票，FIFA疯狂捞金惹球迷不满

这粒进球不仅挽救了球队，也让贝林厄姆在本届世界杯的进球数达到5粒，正式超越鲁尼，升至英格兰队史大赛进球榜第四位。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。

8、榜单综述｜第10轮

7月19日，鹏城实验室与全球计算联盟联合发布了《超节点定义与实践白皮书》，首次明确：超节点是一种在物理上由多个计算节点通过高效的互联协议紧密连接组成，具备跨物理节点统一内存编址能力，逻辑上具备“一台计算机”特征的计算系统。

随着西班牙在决赛中1比0击败阿根廷，队内三名大将库巴西、罗德里和乌奈西蒙各自将个人荣誉收入囊中，而本届赛事金靴奖则由法国前锋姆巴佩摘得。

在2021年的一份内部文件中，Anthropic的联合创始人就已经写过，为什么公司要聚焦在Coding上。

球员毫不掩饰想加盟巴萨的愿望，但贝尔塔也在与老东家马竞保持联系。