据《米兰体育报》报道，这笔交易已基本告吹。

1、星空体彩 如今，西蒙尼对"球员+现金"的交换模式持开放态度，如果各方都能接受哲凯赖什作为添头，阿森纳拿下阿尔瓦雷斯的实际支出可能降至7000万英镑左右。

第一阶段，是证明技术可行——火箭能否稳定飞、卫星能否顺利入轨；第二阶段，则是证明商业模式成立——能否持续、高频、低成本地完成交付。星空体彩然而，通往巅峰的道路从未平坦，那些与冠军擦肩而过的遗憾，曾化作他眉宇间化不开的愁绪。

2、NBA夏联：后场双枪狂轰59+9三分 热火仍惜败魔术 基尔斯32分

托莫里能否在尤文与老搭档卡卢卢重聚，我们拭目以待。

3、健身没效果？大概率是糖没控对！科学控糖攻略，练完瘦更快_网易订阅

巴萨的最终决定取决于多重因素：费兰的去留、青训的进展——年轻前锋哈姆扎·阿卜杜勒卡里姆被视为九号位值得期待的人选。

4、C罗踢到50岁？葡萄牙博主：无条件支持，哪怕他和国家队一起变烂

少打一人，西班牙又不断施压，阿根廷只能苦苦支撑。

5、步行者总经理：小南斯经验丰富球商很高，他在新赛季会迎来反弹

模型不再只是回答问题，而是在“干活”。

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。

从代理商到运营商，滔搏的能力变了，但身份没变。

6、无法理解的选择！篮网又用首轮签选择了一个需要大量球权的球员？

但它的业绩就在那摆着：2020年，营收60.56亿元；2025年，393.53亿元，五年时间，涨了六倍。

而就在WAIC开幕前两天，国家网信办发布了一则重磅公告：苹果、华为、小米、OPPO、vivo、三星、努比亚七家厂商的端侧生成式AI服务，首次以独立类目完成备案。

7、一只198天的跑步鸡，和一个企业的十年助农长跑

绿巴萨近几个赛季在年轻球员培养方面积累了不少案例，从斯卡马卡到弗拉泰西，俱乐部总能给予新人稳定的出场时间助其成长。

对手都在提速，米兰却戛然而止。

8、豆瓣8.1但票房7000万，今年最意难平的电影出现了？

这背后的关键支撑是，特斯拉季度交付汽车 48.01 万辆，同比增长 25%，环比增长 34%，两年以来最好的季度交付。

作为中国最早的一批户外店，北面和始祖鸟对三夫户外而言，就像是耐克和阿迪之于滔搏。

本场比赛比利时肯定会掌控大部分的控球权，通过德布劳内的调度不断在两个边路寻找突破口。

9、“睿”不可挡！

」 但是，转型的代价，终归是高昂的。

对于米兰而言，加入回购条款是必要的，他们需要对卡马尔达保留最终控制权。

10、主场惨败日本男篮19分！中国男篮乱打一气，又被逼入绝境

在攻击线上进行"扩容"有多重战术考量，可以概括为三个关键词：速度、压迫和竞争。

滔搏暴力打折甩卖耐克库存？客服：没有收到降价通知 7月23日，“滔搏暴力打折甩卖耐克库存”话题登上热搜。

1、上海街超官方小程序上线啦！

对于米兰这样的豪门球队来说，稳定的管理层是球队取得好成绩的基础，而现在的米兰恰恰缺少这种稳定性。

2、DIMOO 联名皮克斯，谁的童年 DNA 动了？

而在莱奥出场的28场比赛中，米兰取得了13胜9平6负的战绩，84个可用积分只拿到48分，场均1.71分。

3、智能空间的终极目标，不是极致效率，而是人的精神安放

利桑德罗·马丁内斯是上半场唯一吃到黄牌的球员，并在半场结束前被换下，不过在此之前，他赢得了所有抢断、五次地面对抗、两次夺回球权，外加一次拦截。湘超株洲队赛季前瞻按信号采集位置，行业大致分为三条技术路线：非侵入式将电极戴在头皮外，安全、成本低，但信号隔着颅骨精度有限；侵入式将电极植入脑组织，信号最清晰，却要面对开颅手术、长期生物相容性与感染风险；还有一条折中路线，把电极放在硬脑膜外、脑表面或血管内，在信号质量与手术风险之间寻找平衡。

4、破釜沉舟后，袁悦的奇妙之旅还在继续

作为耐克在中国市场最大的经销商，滔搏与耐克的合作历史已超27年。

5、家暴前科男入队先“交心”：布里奇斯承认需赢得菲尼克斯太阳队球迷信任

亚马尔：19岁世界冠军 衡量亚马尔有多特别的一个奇怪标尺是：19岁拿了世界冠军，却让人感觉他还有更高一档没拿出来。

6、不卡裆内裤、出圈印花上衣、高端质感运动服：三位女性重塑跑步装备产业

当2026年美加墨世界杯的战火在北美大陆激烈燃烧，当全世界的目光都聚焦于绿茵场上的胜负与荣耀时，远在两万公里外的中国广西，正经历着一场令人揪心的考验。

梅西领衔的这支南美冠军，原本志在成为自1962年以来首支实现卫冕的球队。

AI Agent能模拟完成所有操作，意味着原本属于应用的流量体系将分崩离析。

7、有一说一，雷霆要交易杰伦威廉姆斯，最现实的5大交易方案如下

DriveDreamer系列世界模型，官方称目前已经拿下广汽、理想、比亚迪、小鹏等超过30家头部车企客户。

这笔交易不仅是对现有阵容的实质性补强，更体现了俱乐部在转会策略上的务实与高效。

8、5年之后，吴易昺等到了他的第二个挑战赛冠军

自研芯片和新一代大模型可能成为扭转谷歌“掉队”的关键因素。

整体来看，公司的转型思路清晰：不涉足终端制造，深耕上游核心材料。

决赛前瞻：技术流与铁血防守的碰撞 北京时间7月20日凌晨3点，西班牙与阿根廷的巅峰对决将在纽约打响。

这场比赛的关键在于，葡萄牙能否攻破哥伦比亚的密集防守，以及哥伦比亚的反击能否抓住葡萄牙压上后的身后空间。