“你可以极端地去堆最贵的GPU卡，也不能说他错，只不过这种所谓的标准配置是一种商业妥协。

1、半岛体彩 在雨季的北京，一位LABUBU粉丝连续蹲守两天，终于等来了这场让他「脸上汗水泪水夹杂」，感叹「太震撼了」的首演。

于是，我们也访问了一些爱买零食的年轻人，结论是：如果说“人越想贪便宜，往往越容易多花钱”，这个叫做“穷人税”，那么，量贩式零食店确实在“税”人。半岛体彩“踢姆巴佩的球队，就是技术碾压！”这不仅是对亚马尔个人能力的赞美，更是现代足球战术博弈的真实写照。

2、咖说｜专访普华永道中国刘亚霄：AI落地最大的阻碍，是“它发展太快了”

他的未来，远未落定。

3、曼联再遇罗森博格，两年前首发11人6个已走，还有2人待售

面对阿根廷队的善举，中国球迷的反应也展现了极高的素养与温情。

4、今年夏天少穿一身黑，不如试试彩色配白色，高级时尚又有个性

最终，他决定寻求心理咨询。

5、欧洲电动汽车销量6月同比增长52% 油价上涨成主要推手

更糟糕的还在后面。

也愿潘帕斯雄鹰在美加墨世界杯中飞得更远更高。

上赛季，他们最终以相当从容的姿态拿下了联赛冠军。

6、68.75米！严子怡夺得钻石联赛摩纳哥站女子标枪冠军

中昊芯英称，目前已经完成 Qwen、DeepSeek、GLM 等主流开源模型的基础适配，并能在新模型发布后较快跑通流程。

纵观全场，这不仅是一场比分的胜利，更是战术层面的绝对碾压。

7、美媒评今夏最费解4笔操作：特伦特拿6400万，FMVP布朗被交易贱卖

对行业而言，AI智能体时代的到来，让沉寂多年的操作系统重回产业舞台中央。

联合利华第二次重磅亮相，重点展示了AI赋能包装创新的最新成果“AI for Packaging”。

8、一针一线 把热爱“绣”成专属记忆！

阿拉伊贝戈维奇世界杯上代表波黑出战4场贡献1粒进球，德转身价已经涨到2200万欧元，市场价在3000万欧元左右。

国家标准GB/T 43568-2026《电动汽车用固态电池》已于2026年7月1日实施（该标准为推荐性国家标准，侧重引导和规范，而非强制性准入），为这场长跑划定了规则边界。

马丁内斯的球队进攻手段丰富，既能打阵地战，也能打快速反击，进攻多点开花，威胁点分散，让对手防不胜防。

9、打通全场景AI算力存储链路 泛联全国总部在成都成华正式投运

从在斯佩齐亚的比赛内容看，科莫托主打8号位，更多表现在衔接推进和防守参与上。

在 Guillaume Motte 看来，中国市场的战略权重体现在三个维度：规模上，作为仅次于美国的全球第二大美妆市场，它构成了丝芙兰坚实的增长基石；创新上，中国本土涌现的新锐品牌与产品迭代，不仅精准回应了本地消费需求，更为全球选品体系注入了多元灵感与文化视角；技术上，中国在数字生态构建与 AI 应用上的领先实践，为丝芙兰的全球运营提供了具有价值的参考范式。

10、火箭队被曝签下投篮专家恩格兰 或成年轻核心解题密码

而光互连自身也在迭代、变革。

而对阿森纳来说，如何在核心中卫养伤期间保持防线竞争力，将成为夏窗备战的重要课题。

1、中国男篮已暂停归化事宜：重启遥遥无期 恐继续本土阵容战世预赛

01.云业务撑起增长故事，资本开支计划突破2000亿 从核心财务指标看，谷歌Q2主营业务交出了一份超出市场预期的答卷。

2、不到一年时间！从男篮国家队到CBA再到NBL，郭士强爱将再遭争议

将近六十天的时间，联赛坐二望一的大好形势破碎，欧冠资格反而亮起红灯。

3、京彩瞬间

然而，人数的劣势最终让他们在加时赛体能崩盘。阿里纳斯：艾弗森那种才是超级巨星，布伦森还不算超巨过去一年，这些大模型公司极速演化，正在演变成Agentic AI公司或企业服务公司。

4、朱芳雨闹笑话！去年重金买来的外援自由身离队，球迷：被杜锋坑了

普通家庭不是这样。

5、夏季联赛NBA球队新秀表现评级：湖人勇士获A，马刺仅得C

但我们没能做到这一点。

6、1987年，庄则栋想和日本女友结婚，组织却不同意，李瑞环：我帮你

与此同时，承包商整个夏天都在持续推进诺坎普的施工。

今年上半年，公司碳酸锂产、销量约4.94万吨、3.91万吨，较上年同期的2万吨、2.06万吨均大幅上升，量价齐升助力上半年盈利预增131.38%-142.95%。

这些非战斗性减员不仅打乱了各队的既定部署，也在无形中成为了左右战局的关键变量。

7、OpenAI、Anthropic背后的AI“数据工厂”，被曝上半年营收41.6亿，超过去年全年

最终加纳以1胜1平1负积4分的成绩排名小组第三，凭借成绩较好的小组第三身份晋级。

到半场，阿根廷球员不仅没有射门，甚至仍未在西班牙禁区内有过触球。

8、日本汽车协会急了：再不抱团，就被中国车各个击破

由于下赛季很可能面临多线作战，米兰准备在夏窗扩充一线队阵容，中场成为改造的重心。

我们必须展现出那份野心，因为我们完全有能力做到，但这要求我们非常进取、非常迅速、非常聪明。

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。

Sora们长什么样，一个输入框，一个生成按钮。