此前一场访谈里，针对为何要储备充裕资本的提问，地平线机器人创始人余凯表示，“地平线花更多精力思考我们会死在什么地方。

1、欧宝足球 耐克高层就曾指出，大中华区营收下滑的症结在于“品牌在消费端，尤其是在数字渠道，频繁进行折扣销售”。

如今，法国（15.2亿欧）、英格兰（13.6亿欧）和西班牙（12.2亿欧）均已顺利挺进四强。欧宝足球当然是那个花了几年时间学会了一件事的球员——你控制不了机会什么时候来，只能控制机会来的时候你准备好了没有。

2、湘潭就业“半年报”：稳得住，有奔头

世界杯结束后，马赫雷斯离队，吉达国民急需一位新的边路核心来填补空缺。

3、这5条短裤今年爆火！放松穿最时髦

2028年欧洲杯和2030年世界杯再见，齐达内能否带领高卢雄鸡展翅高飞，我们拭目以待，以法国队的人员配置，没有冠军等于失败，齐达内的执教压力还是蛮大的。

4、世界杯最贵一战！27.4亿对决，亚马尔2亿领跑，西班牙3线落后

今年以来，资本市场对两条路线“谁能胜出”出现过数次激烈讨论。

5、韩国队无缘32强！刚果队3-1逆转，终结52年等待，世界杯首次出线

弗利克全程为这笔交易背书，他相信阿德耶米在边路能被他调教出最好的状态。

资本涌入，创业者扎堆，但大多数模型做的是同一件事，从海量视频里学规律，却没有学会世界怎样运转。

燧原科技董事长、CEO赵立东对作者表示：“AI Agent等智能推理应用快速爆发，推理算力需求将达到训练算力的10倍甚至100倍。

6、世界杯历史出场榜单发布！C罗高居第二 奥乔亚第三最好成绩仅16强

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。

球队近五场比赛完成53次射门、获得22个角球，进攻端的压制力十分突出。

7、法国VS摩洛哥：高卢雄鸡遭遇北非硬茬，姆巴佩能否闯入4强

这一诉求的背景，是阿根廷队在淘汰赛中一路磕磕绊绊，多场比赛均出现了极具争议的判罚。

以上路径成立以后，还要解释市场为什么没有提前完成定价。

8、伊姐周日热推：电视剧《盛唐奇案》；电视剧《我的王室死对头》......

西班牙1比0击败阿根廷，捧起自2010年南非世界杯以来的第二座大力神杯。

挪威痛失好局，瑟洛特错失良机成转折点 下半场易边再战，英格兰队连换两人试图加强进攻，但挪威队的防守依然坚韧，并多次制造杀机。

对于当前的米兰来说，尽快敲定主教练和体育总监人选是重中之重，因为他们在球队空转的情况下进入转会窗会十分被动。

9、直击第十二批集采解读会现场：联采办“考前辅导”，有药企对中标势在必得

然而，足球场上往往充满戏剧性。

三款“全球首款”，三种完全不同的打法。

10、谁曾想这条裙子能让人心动这么久，夏天一定要试试这些搭配

莫德里奇和科瓦契奇组成的中场双核，擅长通过精准传递和节奏变化打乱对手的部署。

据《米兰体育报》披露，前曼城主帅瓜迪奥拉已成为意大利足协选帅名单上的头号人选。

1、智元创新已启动赴港上市流程

过去两个赛季，拉菲尼亚的表现相当出色，但上赛季他因伤缺阵超过20场。

2、离谱！伊布评足坛历史前五：C 罗落选，梅西无缘第一

商业化爆发与K3技术突破的双重叠加，直接引爆了融资和估值曲线。

3、GE Vernova单季订单暴涨88%，自由现金流超去年全年，上调全年收入指引

这四人组成的“四叉戟”，不仅在个人能力上达到顶级，更在实战中形成了高度默契的化学反应。夏天衬衫，真丝的更有质感！展会现场设置三大路演区，开幕当日共举办 18 场企业主题路演，涵盖新品发布、技术推介、项目签约、区域招商等形式。

4、金融“添柴加薪” 龙江夏日经济“热辣滚烫”

2026年7月，上海，世界人工智能大会。

5、【健康科普】产后漏尿、小腹下坠别硬扛！盆底三维超声守护女性健康_网易订阅

总体来看，无论是250 亿美元的资本开支，还是300 亿美元的债务融资，特斯拉在做的，是要把自己的角色，从电动车制造商扩展成一家真正意义上全链路「物理AI」企业。

6、当年国足0-7惨败日本，双方差距的根源就在青训！

另外，在底层基础设施层面，特斯拉正在搭建一条完整的物理AI 产业链。

战术风格碰撞：传控主导VS高压逼抢 墨西哥主教练阿吉雷打造的是典型的拉美传控体系，场均控球率达到56.1%，揭幕战更是高达61%。

看完对两支球队的战术分析后，相信广大球迷心里会得出自己的答案。

7、15万级合资燃油SUV颠覆者，东风日产NX8增程260Pro上市限时权益价15.99万元

在这种局面下，莱奥的态度相比十天前已有所松动，据悉，他前几日选择在伊斯坦布尔度假，有可能是在提前感受土耳其的氛围。

两人同为葡萄牙体育出身，相似的成长轨迹加上同胞身份，理论上能够成为莱奥改变想法的契机。

8、一代巨星谢贤落幕，小49岁前女友回应来了！

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。

今年1月米兰就曾试图引进他，球员合同2027年到期，今夏进入合同年后转会费有望控制在3000万欧元以下。

核聚变的想象空间几乎没有上限，一旦技术和商业化取得突破，估值就会飙升。

哈兰德同期同样上涨2000万，两人继续在金字塔顶并驾齐驱。