变化已经发生，过去一段时间，我们在文娱消费的不同赛道都能感受到这种变化。

1、九游体育 摩洛哥同样以2胜1平积7分的战绩出线，因净胜球劣势屈居C组第二。

原本米兰本赛季明朗的争四形势是续约谈判的关键筹码，现在也要打上一个问号。九游体育在官宣签下科特迪瓦边锋巴祖马纳·图雷之后，这家英格兰球会把目光投向了瑞士新星约翰·曼赞比 效力弗赖堡的这位中场，凭借小组赛阶段三球两助攻的出色发挥，敲响了通往英超的大门。

2、“白眼狼”接二连三冒出来？中国如何适应“中国崛起”

综合来看，这场比赛双方实力在伯仲之间，瑞士拥有体能和阵容完整性优势，哥伦比亚则在球星质量和技术能力上更胜一筹。

3、韦世豪：去年踢完天津客场，成都球迷在主场举起我的球衣，我会记一辈子

除了消费市场，美国更是全球前沿科技与资本的交汇中心。

4、FIFA最新排名公布：西班牙超阿根廷登顶，国足仍排名第91位

次轮面对突尼斯，日本完全掌控局面，62%控球率、11次射门5次射正，最终4-0大胜，创造了日本队世界杯历史最大比分胜利。

5、名嘴:马龙许昕只发挥了80%水平 就把小将黄友政向鹏揍了一整场

全队战术围绕两大核心展开，厄德高负责中场组织、精准直塞与远射，哈兰德作为禁区终结点，小组赛两轮打入4球，终结效率顶级。

不止于此，视觉赛道与Coding赛道的主流叙事截然不同，行业竞争已从“单一模型参数竞赛”升级为综合竞争，头部厂商也更具护城河。

资金也在飞速涌入：据IT桔子数据，2024年国内脑机接口领域发生了25起融资，金额约为10.6亿元；2025年增至49起、27.23亿元；而2026年仅上半年融资就超过了60起，金额突破了70亿元。

6、EWC中国电竞天团集结出征，2026电竞世俱杯今日正式开赛

近年来，中国影视作品出海速度加快。

原因无他，那份刚出炉的二季报里，写着高达11亿美元的负自由现金流，以及一个让所有人大跌眼镜的资本开支（Capex）计划。

7、不再等待AD交易！詹姆斯下一站正式圈定5队，最终决定只看3大条件

吴太兵认为，AI影视最重要的趋势之一是创作群体的扩大，以前专业导演才能制作的内容，往后可能每个人都可以创作。

钛媒体：当前AI存储产业链日益复杂，云厂商、模型厂商、存储厂商都在突破原有边界，您如何看待这一生态变化？希捷主要关注哪些方面？ 俞康：这要具体情况具体分析。

8、封面来了！王祉怡：跨越山海 再向彼岸

在汽车和储能业务之外，特斯拉的服务及其他业务毛利率从9.2% 升至 14.1%，刷新历史新高。

这背后是评价标准的换轨：建设阶段，行业比的是设备数量、峰值性能与集群规模；进入运营阶段，利用率、任务完成率、故障恢复时间、应用覆盖率和单位计算成本，将成为新的记分牌。

从“连接兴趣”到“创造兴趣”，这不仅是趣丸科技的进化论，也是一个关于“技术如何服务于人”的答案。

9、2-3中国女排！没想到赛后意大利女排主帅这样说，被一人彻底征服

无论是在2014年世界杯决赛被撞得肩部肿胀，还是在2022年卡塔尔世界杯遭遇不利判罚，他大多只是无奈摊手或默默承受。

事实上，挪威队本场比赛最致命的转折点出现在上半场第44分钟。

10、80比2领先41球在手，威尔士火女队却遭8分逆转

此前，皇马主席弗洛伦蒂诺对引进罗德里并不热心。

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。

1、国足将战世界杯参赛队

阿斯拉尼仍在等待西甲冠军的召唤，但他不打算无限期等下去，已开始与莱比锡展开接触。

2、字母哥：对热火一直怀有极大敬意 这里是冲击冠军的最佳去处

如果只认周期底，5到8倍PE，市值在5792亿到1万亿之间，股价8.66到15元。

3、双赢1换7交易！快船稳赚不赔，猛龙组三核冲冠，东部格局被改写

对比两轮交易不难发现，李氏家族的让步力度不小：转让比例从20.93%扩至26.58%，每股报价虽较上一轮微涨4%，但较停牌前53.50元的收盘价仍打了八折，相当于折价两成出让控制权。有氧运动真的会掉肌肉吗？！这一篇让你看明白_网易订阅然而，伤病没给他这个机会。

4、Travis Scott x Nike T90 给这么多国家队重新设计了队服？

西班牙门将西蒙是“神经刀”，可以超级发挥，也可以低级失误，发挥并不稳定。

5、罗马诺：吉达联合报价不足，难以签下奥涅迪卡

C罗首发打满全场，3次射门全部偏出，25次触球在双方首发球员中排名倒数第三，赛后评分仅6.1分队内垫底。

6、力箭一号遥十五发射成功 商业航天“工业化量产”模式跑通闭环

乌拉圭人在利物浦时期就经常被诟病效率低、浪费机会多，去沙特后又踢不上比赛，状态能恢复几成还是未知数，本届世界杯累计出战65分钟，只有1次射偏。

以宏和科技为例，宏和科技主营电子布业务，得益于AI算力产业链的发展，电子布需求随之跃升，公司股价也水涨船高。

从一组数据来看，米兰本赛季在没有头号球星在场的情况下甚至做得更好。

7、王菲穿个“麻袋”都能火是怎么回事？

飞机又一次在跑道上干等了两个小时。

西班牙传控，比利时也喜欢进攻，如此对阵格局，斗牛士军团反而无惧欧洲红魔，西班牙喜欢对手攻出去。

8、吹爆纳达尔吧！拿2大满贯+年终世界第1后，他又为国家拿下最高荣耀

米兰当前对莱奥的要价维持在5000万至6000万欧元之间，按照跟队记者维蒂耶洛的说法，目前费内巴切和加拉塔萨雷都在与莱奥的团队进行口头接触，但米兰管理层尚未收到任何一方的正式书面报价。

他走进的，是一家正在经历多重风暴的豪门。

决赛中，费兰在替补席上等着。

莫德里奇在中场10米区域的调度堪称艺术，佩里西奇边路内切传中，克拉马里奇禁区内抢点完成终结。