其中有的属于科技圈，有的属于消费圈，有的已经功成身退，有的仍在风生水起。

1、米兰体育 考虑到球员与桑普的合同要到2027年，此番运作可能是巴萨从佩德罗拉身上获取转会收益的最后一次现实机会。

还有挂名假实习。米兰体育哪一次是确认，哪一次只是扰动？市场需要时间验证。

2、身体比你更“记仇”！研究发现：炎症消了“病根”还在！这3个习惯早点改

AI手机将如何改变一切？ 尽管困难重重，但AI手机带来的变革将是根本性的。

3、4.28英冠推荐：南安普顿vs伊普斯维奇

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。

4、西班牙队战胜法国晋级决赛，佛得角含金量还在上升，皇马一败涂地

在法兰克福时期成功运作了帕乔、埃基蒂克、穆阿尼、马尔穆什等多笔高质量转会，这些球员累计为俱乐部带来了超过 3 亿欧元的转会收入。

5、成都蓉城爆冷惜败上港！王子铭状态低迷屡屡错失良机，遭球迷质疑

阿莫林正式上任米兰主帅后，球队的夏窗转会思路逐渐清晰，这位葡萄牙主帅已经向管理层提交了引援名单，其中三个目标都是葡系球员，包括两名阿莫林在葡萄牙体育时期的旧部，以及葡萄牙中锋贡萨洛·拉莫斯，不过马竞是强有力的竞争对手。

虽然来得晚，但终究还是来了。

从外部看，竞争对手正在疯狂追赶。

6、春秋航空：接受批评，全面整改；此前国航、南航、东航、海航、厦航、吉祥航空、春秋航空等被约谈

福法纳的市场则主要集中在法甲和土耳其，前摩纳哥中场在法甲仍有一定认可度。

愿广西的洪水早日退去，愿这片土地上的人民早日重建家园。

7、李子再次被关注，医生发现：糖尿病人吃李子，不用多久或有5变化

当时，刚刚犯规的帕雷德斯情绪已经十分激动，队友德保罗也处于爆发边缘。

这不仅是一场冠军之战，更是两队胸前绣上第二颗和第四颗星的最后一步。

8、离谱！美国白宫公然支持英格兰夺得世界杯！英阿大战安排自家裁判

斯卡洛尼的球队或许在整体跑动上不及年轻的西班牙，但他们拥有在绝境中一击致命的勇气，以及全队为队长梅西拼尽全力以及多跑几步的三军用命。

周远几乎没有犹豫，先选了第一种。

但他在利雅得新月的处境，并不理想。

9、饭碗端得更牢 乡村更宜居——透视上半年农业农村经济运行亮点

梅西独享历史助攻王，麦卡利斯特头球破僵 比赛伊始，阿根廷队便展现出了强烈的进攻欲望，并迅速取得梦幻开局。

25/26赛季，恩昆库作为转会标王从切尔西加盟，各赛事35次登场仅贡献8粒进球和3次助攻，表现缺乏连续性。

10、水位回落，盘锦市持续筑牢安全堤

来到亚特兰大后，达米科的权限和舞台都变大了，这也让他的能力得到进一步释放。

这让行业感慨，众里寻他千百度，暮然回首，风口却在灯火阑珊处： 大模型公司的下一个主战场，可能不在代码里，视觉多模态，正在成为大模型公司下一个兵家必争之地。

1、阿根廷VS英格兰：4大铁卫坐镇，恩佐麦卡利斯特领衔，梅西小蜘蛛冲锋

哪一次是确认，哪一次只是扰动？市场需要时间验证。

2、西班牙运气爆棚？晋级路上对手接连折损大将

”滔搏（6110.HK）的一纸公告，让持续一个多月的市场传闻最终落地。

3、境外高增长依赖“一次性”项目，关联交易低价连遭三问，德耐尔闯关北交所胜算几何？

英格兰主帅图赫尔彻底推翻了索斯盖特时代保守的战术理念，球队主打高位逼抢，压缩对手后场出球空间，进攻时中路渗透、边中结合套路繁多，不但拥有凯恩、贝林厄姆、赖斯组成的世界级中轴线，萨卡、拉什福德、戈登也是破密防的秘密武器。尘埃落定！山东泰山“绯闻外援”加盟新东家 文旅高层做出重要决定若非贝林厄姆在对阵墨西哥和挪威的比赛中连场梅开二度、以一己之力扛着球队前行，英格兰恐怕早已止步16强。

4、上海队外援怀特赛德兴奋剂事件，大赢家却是李楠，许利民太憋屈了

北京时间7月15日凌晨3时，2026年美加墨世界杯半决赛迎来了一场万众瞩目的焦点战。

5、十年旧梦难掩今朝失意：C罗晒照风波背后的舆论漩涡

马竞不盲目追求超级巨星，而是致力于培养“硬仗型球员”。

6、巴林境内美国海军第五舰队总部所在区域附近传出爆炸声，因伊朗导弹袭击，巴林全境已拉响警报_网易订阅

从球衣、球鞋到官方比赛用球，阿迪达斯将这场决赛彻底变成了自家品牌的专属秀场，完成了对单届世界杯决赛的商业全盘垄断。

这不仅是算力规模的提升，更是算力效率的质变。

最后，大厂和模型创业公司都更需要参考的是Anthropic如何把愿景、业务和组织做成了互相嵌套的整体。

7、完善奖励体系，激发全社会科普热情

当然，科莫托更大的可能还是继续外租。

目前，由哈维尔·特巴斯领导的西甲联盟尚未对该提案作出正式回应。

8、鹤岗市兴安区：以“暖心服务”践行初心使命 将学习教育成果转化为惠民利企实效

以WorldArena为例，它由清华大学牵头，联合上交、港大、普林斯顿、中科院等8家高校及科研机构。

欧美杯缺席，这场世界杯决赛算是弥补。

图：百忧解化学式 2003年，迪马基最终选择离开工作了22年的礼来，转而去成为连续创业者。

“我的工作经常都需要加班，晚上回到家连个活物都没有。