第二：罗德里状态上佳，斗牛士军团无惧欧洲红魔！西班牙相比2026年欧洲杯两个边路是差点意思的，但罗德里近期找回了巅峰状态，大有渐入佳境的感觉。

1、人人体育 中国信通院数据显示，目前国内智能手机平均换机周期已达40.2个月，接近三年半；另据IDC预测，2026年消费者的换机周期可能会进一步拉长到42个月以上，创下历史新高。

文本生成 3D、图片转 3D 模型会降低设计门槛，但真实打印还要解决结构强度、支撑设计、尺寸误差、材料匹配、装配关系和版权归属。人人体育2026年7月13日，General Fusion通过反向并购登陆纳斯达克，成为第一家公开上市的核聚变公司。

2、新刊

面壁智能CEO李大海在WAIC上有一个判断：当下的AI手机领域有三种趋势，手机厂商自研端侧AI、外部采购端侧AI、模型企业下场做手机。

3、孩子不是不专心，是他的脑子已经忙到死机了

亨克对于卡雷察斯的态度十分强硬，俱乐部刚刚与球员续约至2029年，不存在出售压力。

4、三星Unpacked 2026推多款折叠屏与眼镜，却漏掉Galaxy Watch 9一项重大升级

对利润本就薄弱的二线电芯厂而言，2%的税负（约合每瓦时0.007至0.008元）将直接压缩生存空间，行业“头部受益、尾部出清”的格局进一步确立。

5、香港交易所就提升上市机制竞争力的建议发布咨询总结

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。

近年来，中国影视作品出海速度加快。

7月17日iMoochi的正式上线，以1699元的售价（云朵充电底座套装1778元）卡位中端市场，标志着手机厂商对这一赛道的正式“宣战”。

6、38岁劳森偷酒被捕！早有违法前科多次犯事 离开NBA后曾效力CBA

利润和客单价都不低，那么，开量贩式零食店，确定是一门好生意了吧？比如，选择一家零食店品牌加盟，肯定稳赚不赔？ 事实并非如此。

它通过系统级的架构创新，超大带宽、超低时延、统一内存编址，它能把成百上千张芯片变成“一台计算机”，让算力、存储、内存在一个统一的逻辑空间内高效协同。

7、岚图追光S开启预售，开创FUV全新汽车品类新标准

过去几年，GP想要新设立一家新基金，国资、政府的资金是绝对的压舱石。

虽然近年来米兰在9号位的投入相当可观，却几乎全部打了水漂。

8、阿根廷为何输球又输人，甚至成了本届世界杯最受非议的队伍？

然而，比晋级决赛更让外界震撼的，是西班牙对法国队完成了一场堪称“宿命”的三连杀。

在他的运作下，埃德森成长为意甲最顶级的中场之一，斯卡马卡在健康时证明了自己的身价。

2024年79亿元的巨额亏损，很大程度正是由这一定价漏洞导致。

9、问政

费兰最伟大的胜利，不是世界杯决赛。

” Agnes AI虽然是低成本换市场规模的路径，但同样离不开深切的市场洞察。

10、路虎揽运纯电配置曝光，配130度电池，还看神行者？

7月4日，OBBBA法案签署生效，实质性取消了美国联邦CAFE标准下的违规处罚条款，传统车企不必再为避免罚款而向特斯拉购买碳积分。

局面变成1比1后，阿根廷人攻势不减，仅仅过了六分多钟，劳塔罗·马丁内斯便打入反超一球，完成绝杀。

1、又一券商投行副总裁“上岸”做了董秘

结语 回顾这场算力战争的全景，一条清晰的逻辑线已经浮现： 算力短缺是表象，算力组织方式落后是本质。

2、特斯拉Q2利润腰斩，钱去哪了？

只要他们再入2球，皇马就将超越布达佩斯洪韦德（1954年）、拜仁慕尼黑（2014年）和巴黎圣日耳曼（2022年）共同保持的18球纪录，成为世界杯历史上单届进球最多的俱乐部。

3、俄罗斯央行下调基准利率至14%

他上任后约一年，礼来在替尔泊肽的小规模临床试验中发现，它不仅能降低血糖，还能让服药者减重。费兰绝杀封神！西班牙续写决赛不败神话，阿根廷黄金时代落幕在极佳视界的设想中，如果汽车能够在模型里预演一次转向，那么机器人也应该在搬运箱子前，判断怎样伸手成功率更高。

4、凌晨三四点总醒是抑郁“信号”？睡眠专家：两者不能划等号

而比商业焦虑更致命的，是日渐枯竭的创作能力。

5、穆帅将决定18岁马斯坦图诺多去留，前皇马主帅或将其带入英超

GP们果断转向冲向省级大母基金、中央企业或者链主企业。

6、法国3-1开门红！姆巴佩梅开二度创纪录，奥利塞险些助攻帽子戏法

如今，金球奖的归属逻辑已经变得异常清晰。

上赛季，厄泽克转投费内巴切，同样取得了不错的成绩，帮助球队赢得了土耳其超级杯并获得联赛亚军。

在整体氛围上，漫步奇遇森林，带有凯尔特民谣风格的音乐萦绕耳边，制造了跳出现实的奇幻氛围；和游乐设施和嘉年华游戏配合的不同版本LABUBU合唱则创造了欢快、明丽的庆典气息。

7、4年6400万美元！小特伦特续约雄鹿 上赛季曾单场轰36分9三分

巴萨仅凭这一部分便入账153375欧元，其中巴西边锋拉菲尼亚累计入选13次，为俱乐部带来26585欧元收入，是队内预选赛阶段贡献最高的球员。

短短几天内，微信、淘宝、支付宝、美团、拼多多等国民级App相继把豆包助手“拉黑”。

8、逃离5A景区的中年人，正在涌向“差评最多”的小店

于是，一场围绕算力的“军备竞赛”全面打响。

肖穆罗多夫作为队长和头号射手，首轮被重点盯防，其支点作用和头球能力是球队反击的关键。

在潜在人选中有三个最突出的名字，莱奥、帕夫洛维奇和普利西奇，三人的市场价都在5000万欧元左右。

2026年1-5月全球动力电池装车量23.8GWh，位列全球第四。