戈登向来以冲刺和直接突破著称，但这次展现的是另一种能力——在最恰当的位置出现，把半个机会转化成进球。

1、Kai云体育 比赛第55分钟，摩根·罗杰斯送出精妙传中，安东尼·戈登抢点破门帮助英格兰取得领先。

单次求职虽然具有阶段性，但整个求职过程包含职位发现、简历定制、申请填写、内推寻找和面试准备等大量高频任务。Kai云体育但今天不是了，他们退到幕后去了，不是说不重要，是石油和钢铁慢慢变成了像空气和水一样的东西。

2、高芙被赞体面人火娃登顶无悬念？奥胖集齐大满贯金花提前进决赛

与之相反，那些在IP运营维度已经得到验证的业务方向被快速推进。

3、谁也没想到，乒乓球全锦赛仅3天，29岁樊振东凭实力再次出圈

同一份招股书，同一个发行价8.66元，长鑫科技有两套市盈率。

4、巴西一场3：0大胜，却给巴萨敲响警钟，锋线王牌该考虑出手了

中国设备即便做出来，也常常只能从非关键环节进入，研发投入不小，订单却不稳定。

5、她插足富豪婚姻，高龄未婚生子、背负骂名，如今仍是香港顶级富婆

而小米上调出货目标，且把增量部分投向低端机型的原因，则在于上游供应链的变化。

这些数据说明一个事实： 多模态智能体，正在光速进入真实的内容生产场景，创造真金白银的价值。

本届世界杯上，镰田大地的表现更是让人眼前一亮。

6、CBA快讯！浙江官宣签约新后卫，北控签20+9大外援，多队有意前山东外援

但很少有投资者记得，仅仅十年前，这家龙头公司还深陷专利悬崖的泥潭，陷入“失去的十年”。

在过往的5次世界杯交手中，英格兰队以3胜2负略占上风，但阿根廷人总能在最关键的淘汰赛中给予致命一击。

7、再见NBA！24岁进攻天才！连底薪合同都没了

如果说Coding赛道是“存量博弈”，那么视觉生成赛道就是“增量爆发”。

加时赛贝林厄姆一锤定音，连场双响彰显大心脏 常规时间战罢，双方1-1战平，比赛被拖入加时赛。

8、国安官宣两名亚冠专属外援，表现出色未来可能“转正”

1198亿美元的整体营收超出市场预期的1170亿，并且连续12个季度保持两位数增速，净利润同比增长近三倍，从去年同期的282亿美元，增长至1121亿美元。

如果你没有，我们就先不浪费时间了。

海外，Anthropic抢跑，OpenAI紧随。

9、这届世界杯最聪明的广告 可能是一条免费手链

梅西本届赛事表现惊艳，但在决赛中却如幽灵般游离，赛后泪洒赛场。

我们找不到破解办法。

10、泄愤？德比斯全程超61号车手翁居6次夺冠，前3次直道后3次弯道

除了LABUBU，乐园还活跃着多个泡泡玛特IP，星星人拥有专属见面会，DIMOO和BUNNY会出现在甜品屋，每天下午，Molly都会在城堡餐厅和舞者一起表演芭蕾，Bearibo是MOKOKO之后，又一个首先在乐园发布的IP。

他是典型的均衡型球员，攻防两端皆能贡献，但终结能力与最后一传的稳定度欠缺一些火候。

1、公安部：中缅泰对妙瓦底地区电诈犯罪集中清剿，妙瓦底KK园区630余栋建筑物全部拆除

眼下，全欧洲都在关注的球员之一，就是阿尤布·布阿迪。

2、上海出台直接融资“20条” 打造全国科创投融资标杆高地

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。

3、谁帮美军就打谁？伊朗警告不到24小时，北约小国136:13批准提案

对广汽埃安来说，这是一场品牌信任危机。传奇球星，在FIFA也是一份正经工作？AI宠物绕过了这些麻烦，但也因此可能削弱了情感的深度。

4、降价之后Burberry又可以了诶～

一场令人难忘的比赛、一脚石破天惊的进球，或是一届出类拔萃的大赛表现，历来足以让欧洲顶级豪门闻风而动。

5、法媒称巴黎本周有望敲定阿克利乌什，利物浦恐失去心仪法国前锋

开源模型本身就是模型厂商加速智能能力进入生产生活的重要策略，Kimi K3会迅速吸引上下游生态的聚合，从底层算力芯片到中游模型再到下游端侧和软件侧，都会因开源形成研发和落地的协同效应。

6、再打1年！徐杰必须拿顶薪，三个下家留好位置，杜锋有1战术短板

OpenAI现任硬件负责人Tang Tan，曾经也在苹果干了24年，据说他现在，专门挖苹果的人。

有错失的机会，也有把握住的机会。

2026美加墨世界杯小组赛，荷兰对阵日本。

7、广东男篮最新消息！朱芳雨邀请米切尔执教，曾繁日有望回归，徐昕确定出国打球

选择什么投资工具，本质上也是在决定愿意为等待支付多少成本。

随着米兰老板卡尔迪纳莱对管理层权限的重新划分，新任首席执行官卡尔韦利获得了单笔5000万欧元以内的独立决策权，超过该额度则需上报主席斯卡罗尼或卡尔迪纳莱本人。

8、火箭大胜老鹰 乌度卡变阵立竿见影 多名球员角色变化反而效果更佳

战术风格上，塞内加尔主打高强度前场逼抢和快速反击。

按照汽车业务收入和交付量粗略折算，特斯拉每交付一辆车对应的汽车收入，从一季度的约4.53 万美元降至二季度的约 4.27 万美元。

持球人原则上最多两脚触球，理想状态是一脚出球直接传导至进攻三区。

OpenAI嫌挖人都太慢了，直接砸钱端走公司。