再见，萨迪奥·马内。

1、Kai云体育 早在夏窗早些时候，两家俱乐部与球员代表之间就已经达成了全面协议，但整桩交易随后突然陷入停滞。

能解释这一现象的，就是原材料涨价能传导到售价上。Kai云体育正是通过这层关系，努涅斯被推荐给了米兰。

2、玩转阿勒泰

它用近三十年时间成长为细分领域的制造龙头，却依然困于传统制造业的营收天花板。

3、刚在法网温网背靠背夺冠，这位巴西新星却被小偷毁了华盛顿首秀

日本队则存在固有短板，世界杯淘汰赛从未取得胜利，存在淘汰赛魔咒，且球员身体对抗偏弱，面对巴西高强度身体拼抢容易落入下风，锋线终结稳定性也不足。

4、53岁Bultaco Pursang 250复活：两年翻新244cc两冲程引擎，纯越野身份限量释出

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。

5、中方将14家欧盟实体列入出口管制管控名单

8人将带着世界冠军的奖牌归来。

趁着 K3 掀起“Kimi 时刻”、港股 AI 板块热度高企，股东们急需将账面浮盈落袋为安。

这和上海工厂投资期截然不同：那时账本上算的是土地、厂房、产线，每一美元资本支出都对应可预测的产能爬坡和成本下降曲线，18个月后就能看到正现金流回流。

6、C罗创纪录，小孔塞桑替补出场，尤文有意吉拉，米雷蒂或离开

” “三季度末至四季度，后续观察的重点仍然在于碳酸锂现货何时能实质性走强（关注基差何时走强），以及远期是否还维持逐月去库态势以及去库的幅度变化。

两队成年队无任何A级赛事交手记录，本场是首次对决。

7、流浪者官宣签下塞尔维亚20岁国脚，麦金尼斯盛赞：潜力巨大

” 阿浩撑了大约九个月，开店时他刚过完26岁生日，闭店那天，他感觉自己老了十岁。

” 因此，在杨晓煜看来，两点并不矛盾，“我们有AI能力，有服务能力，可以向前端获客视角延伸。

8、张帅不敌TOP9止步次轮，但温网知道，37岁的她从未失去对胜利的渴望

当米兰发起进攻时，队友阿泰卡梅的鞋子在对抗中被埃德森踩掉，主裁判却吹了米兰进攻犯规，萨勒马克尔斯从旁目睹这一切，他愤怒地捡起队友鞋子重重摔在地上，嘴里还骂骂咧咧，主裁判没有丝毫犹豫掏出黄牌。

长鑫99%营收仍来自DDR和LPDDR，HBM暂时当不了利润稳定器。

两轮过后，瑞典队1胜1负积3分，净胜球归零，“遇弱则强、遇强则弱”的属性暴露无遗。

9、1746个螺母被认定为枪支散件，五金厂老板获刑四年，其父：螺母系玩具商定制安装在玩具水弹枪上

03.转型之路艰难 滔搏这次事件真正暴露的，其实不是线上销售权，而是渠道商业模式的天花板：一个不拥有品牌、不拥有定价权、不拥有消费者产权的零售商，到底凭什么不可替代？ 答案越来越难回答。

北方华创则是率先打破这一局面的中国本土半导体设备企业。

10、错失决赛席位！姆巴佩：我们输的不只是比分，没有踢出半决赛应有的水准

斗牛士军团时隔16年之后，再次向大力神杯发起冲击，西班牙全队上下渴望绣上第二颗星。

（来源：中原期货研报） 上海钢联数据显示，2026年上半年，国内碳酸锂现货价格呈宽幅波动走势，整体运行区间为11.7-21万元/吨，5月中旬短暂冲破20万元/吨，之后快速回落至6月末的15万元/吨附近。

1、每日狂吃5000大卡，一周13练：奥运级水手的非人训练强度曝光

虽然尚未确认，但这届赛事无冠而终，可能意味着他与阿根廷队的就此告别。

2、上海乐高乐园主题列车今启程，力拓“铁路+”文旅商机

正如趣丸科技副总裁贾朔所表达的那样，当普通人能够像拍照、拍视频一样自然地用音乐表达情绪、记录生活，音乐才会真正成为一种普惠的创作媒介。

3、2023款保时捷911 Turbo S拍卖：仅3800英里，配置拉满

费兰最伟大的胜利，不是世界杯决赛。八旬“银发”践初心——记全国优秀党务工作者蒋述寅皮尔斯透露，巴黎的法国国脚布拉德利·巴尔科拉颇受红军欣赏，布莱顿的扬库巴·明特、科隆的赛义德·埃尔马拉以及里尔的费尔南德斯-帕尔多也都在考虑范围之内。

4、暑假作业来了！满分最多可加20分！

卜拉欣虽已随队止步，但其余六人仍有机会继续书写历史。

5、四只Kelsey-Hayes古董轮毂12日无底价拍卖 C2科尔维特拆车件再现

但进入热身赛阶段，橙衣军团状态出现起伏，近5场3胜1平1负，进10球失5球，其中0-1爆冷负于阿尔及利亚终结了14场不败纪录。

6、1987款科尔维特敞篷事故修复车无底价拍卖，表显1.9万英里但里程成谜

库卢塞夫斯基的缺阵并不令人意外。

AI生成图片 “国内市场再卷，我们也一定要来，就是为了把万兴的部队训练得更有战斗力。

通过计算校验的分片方案，仍不足以指导一个没有生物学知识的用户完成具体实验。

7、世界杯最大争议！两大英格兰传奇集体鸣不平：梅西奖项被硬生抢走

不满意，再敲一段prompt，重新“开盒”。

但它还没有真正到来，因为没有人真正跑通了商业模式，没有统一的行业标准，利益分配的难题尚未解决，用户还在观望。

8、亚泰主场1比5惨败无锡吴钩！主帅再次被质疑，未来急需爆发

”某锂盐上市公司人士告诉公司观察，下游需求旺盛，行业景气度好。

报道称，费尔明对康复计划每个阶段的反应都相当不错，随着训练强度逐步提升，他也感觉越来越自如。

据多方媒体报道，维拉管理层原本并不打算出售蒂莱曼斯，甚至在几个月前还向他提供了一份新合同。

”孙卓则强调，“抓住需求，就能找到商业化切口。