"他让我想起齐达内，那种踢球的方式和气质。

1、leyuapp 它们的共同点在于，商业化并非始于技术，而是始于对客户痛点的精准洞察，并以此构建起难以被轻易复制的商业闭环。

随着这场2-0的完胜，法国队昂首挺进四强，成为首支晋级半决赛的队伍。leyuapp当赛事进入最后阶段，乐事也将此前积累的消费者互动与情感连接，汇聚于决赛夜的明星观赛派对。

2、被低估的探花！没入选过全明星，却场均19+5+3，成球队隐藏大核！

从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

3、费多罗夫遭撤引爆抗议，瑟尔斯基随后离任，乌军高层重新洗牌

在这场备受瞩目的“成渝德比”中，坐镇主场的成都蓉城与客场作战的重庆铜梁龙经过90分钟的激烈鏖战，最终双方以1-1的比分握手言和。

4、AIGC创新社沙龙｜国海证券姚蕾：AI正在重塑传媒行业内容生产方式

值得深思的是，红鸟掌控的另一支球队图卢茨也正面临管理混乱的问题，遭到球迷的集体抵制。

5、23+7后23+8+5！德明抡臂大风车展现天赋 篮网耐心培养终获回报

两队都是首次打淘汰赛，心理层面可能都比较谨慎，看好平局，次选加拿大小胜。

这笔纯账面利润的入账，虽然缓解了俱乐部的财政压力，但也迫使维拉必须在接下来的转会窗口中重新评估阵容厚度，尤其是在中场位置面临人员流失的情况下，如何填补蒂莱曼斯留下的空缺将成为主帅埃梅里亟待解决的难题。

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。

6、詹皇下家！名记曝内幕：欧文或浓眉？还在等大鱼？

沿着这条路，他们先后构建了Fysics物理引擎、MoziSim具身仿真训练平台、OmniFysics全模态物理AI基础模型、Fysiverse物理世界模型、 FysiData物理 AI 数据工厂和FysicsWorld/Eval评测基准等，形成了从引擎到应用层的完整技术栈。

在几乎赢遍了足坛所有荣誉之后，他选择加盟迈阿密国际，说明他与我们一样怀有雄心，一样追求最高标准，并致力于为未来持续建设。

7、北京导游辱骂游客后续：女子立案硬刚，还要面临3重处罚 饭碗不保

厂家可以不算经济账，但安全账终归是要算的。

米兰引进恩昆库的操作也没能在锋线带来积极变化，他的引援成本为3700万欧元，成为去年夏窗的标王。

8、广厦男篮外援布朗遭争抢，山东男篮对其报价，和北京男篮争抢！

比赛预测与看点 综合来看，乌拉圭在整体实力、中场控制、个人能力方面都占据明显优势，尤其是巴尔韦德领衔的中场，对沙特形成碾压级优势。

从他2025年1月第二次入主白宫以来，对西班牙的抨击从未停歇。

正如资深足球人士所言，在商业足球时代，留下拥有巨大流量的梅西，对世界杯的商业价值显然更有利。

9、青训博主：阿隆索带7名小将踢季前赛，6人8岁以前就在切尔西

他们是最稳定、最明显的夺冠选择。

但从砸钱的重磅引援来讲，塔雷还是有些看走眼了。

10、贵马坡王之争，全马体制外精英分账，半马专业选手对决

他们场均控球率达到65%，场均传球620次，传球成功率91.2%，三项数据均位列本届赛事前列。

无论是欧冠决赛还是世界杯半决赛，奥利塞在面对顶级防守时屡屡“拉胯”，再次证明了他或许能在虐菜局中呼风唤雨，但真正的高端局依然缺乏破局能力。

1、广东男篮彻底变天！朱芳雨确定离职，周鹏有望回归担任球队主教练

历经两场火星四溅的半决赛，2026年美加墨世界杯的终极对决终于浮出水面。

2、美国研究：比脂肪更可怕的其实是低质量碳水！国人健康都毁在这

在传统体育鞋服的下游产业链当中，多层经销从品牌方大批量拿货，能够为其分担库存压力，同时承担平台投流、客服、仓储成本。

3、广东队离队第一人！顶级射手顶薪加盟同曦，与新东家老板老总合影露微笑

从供电、液冷到机柜的形态无不如此，而在数据连接方面，最重要的就是用光替代铜，以此突破信号传输在功耗、密度和距离上的瓶颈。CBA：北控愿意为郭艾伦提供C类合同，吴前敲定浙江老将合同，王浩然个人事务离开中国男篮，曾凡博赴海外治疗首先看一下小组形势。

4、北京未来三天仍多分散性雷阵雨 最高气温升至30℃以上闷热感渐强

他将率领法国队征战接下来的欧国联，并向2028年欧洲杯以及2030年世界杯发起冲击。

5、被佛得角逼入绝境的阿根廷难疲态尽显？但这或许是最大喜讯

（本文首发钛媒体APP，作者 | AGI-Signal，编辑 | 赵虹宇）钛媒摘声：国内公司：国外企业：政策风向：股市行情：其他重要内容： 【钛媒体综合】据证监会官网消息，7月23日，中国证监会召开党的建设暨监管工作座谈会，总结上半年系统党的建设和监管工作，分析当前形势，推动完成全年目标任务。

6、女排4老将太魔幻！刁琳宇稳二传，王梦洁稳防守，龚翔宇锁关键分

西班牙小组赛2胜1平以H组头名稳健出线。

今年三季度还要发布下一代S2，扩大至100个家庭测试名额，并同步开启预定。

益普索的2025年行业报告显示，中文播客的核心听众集中在25至40岁，高线城市和高收入群体仍是收听主体。

7、一个2年级次轮秀打没里夫斯顶薪，湖人靠东里争冠的蓝图也破灭了

西班牙通过压缩空间和频繁反抢，让法国攻击群彻底哑火。

这一僵局迫使尤文不得不加快备选方案的推进。

8、拒绝和詹姆斯同队，不得不说，威少这个脑回路，真让人搞不懂

而此次“山川里”的推出，并非对TERREX专业属性的替代，而是在专业基础上的一次定位延展。

与此同时，像 Manus 这样拥有较强品牌势能的公司，可以显著降低获客成本：“其他企业获取一个用户可能需要 100 美元，它可能只需要 5 美元。

但当一个已经挤满人的行业，还在不断降低门槛，催着更多人开店时，想要创业发财的我们，不妨先多想一想：这是为什么？据彭博社7月22日消息，月之暗面Kimi计划于8月启动新一轮融资洽谈，目标估值为投前500亿美元。

权威数据机构OPTA最新更新的夺冠概率，将当前的争冠格局勾勒得十分清晰：法国以33.71%的概率断档领跑，西班牙以27.25%紧随其后，两队合计占据了超过六成的夺冠预期。