一方面，通用大模型的同质化日趋严重，单纯依赖模型API输出的产品难以建立用户黏性；另一方面，当AI从生产力工具向生活方方面面渗透的时候，技术必须嵌入具体场景，并解决真实痛点。

1、Kai云体育 从年初CES上以“最无用却最想掏钱”走红的日本mirumi，到华为“智能憨憨”开售10秒即售罄，再到Ropet、Fuzozo芙崽等品牌的持续热销，一个以情感陪伴为名的赛博宠物赛道，正以前所未有的速度挤满玩家。

与此同时，车型结构也在向低价集中——48.01 万辆的交付量中，Model 3 和 Model Y 占到 46.78 万辆，比例超过 97%。Kai云体育智元年出货数千台，银河通用手握宁德时代和丰田订单，宇树量产能力最强还在冲科创板。

2、法拉利首款纯电车LUCE亚洲首秀 中国起售价398.8万元

第二重压力是聚焦无法消除的算力、资本和数据差距。

3、美国连续第十天袭击伊朗！美军死亡引爆特朗普怒火，冲突急剧升级

综合来看，美国各方面全面占优，主场赢球的希望很大。

4、盘点NBA现役5大三巨头组合，尼克斯领衔，雷霆第三，76人垫底

不过，巴萨拒绝透露愿意为阿尔瓦雷斯开出的上限金额，这也在情理之中。

5、康师傅冰红茶超燃杯第二届青岛市高校三人篮球联赛第八站——青岛职业技术学院_网易订阅

据悉，弗利克每天都在关注他的恢复情况，教练组和医疗部门都对目前的平稳进展感到满意。

球迷调侃，这是拉玛西亚青训师叔侄之间的对决，也是西班牙加冕二星、阿根廷加冕四星的星辰之战，当然也是欧美杯的补票，上届欧洲杯冠军PK上届美洲杯冠军。

“我性格更外向，喜欢主动施压；而拉马尔更沉静，习惯按自己的节奏踢球，就像在街区公园里玩耍一样自如。

6、篮协该咋办？CBA升降级存致命漏洞 四川可以随便摆烂了吗

益普索的2025年行业报告显示，中文播客的核心听众集中在25至40岁，高线城市和高收入群体仍是收听主体。

对于正值当打之年的前锋来说，踢不上比赛是无法接受的，所以他萌生了回欧洲的想法。

7、媒体：北京优先交易范子铭&其次才是转会费形式 后者希望有球可打

如果能成建制地挖走一个团队，估值几乎可以翻倍。

长远来看，千元机需求不会消失，只会从一个品牌流向另一个品牌，对于各大头部厂商而言，如何在成本控制之外，保障好千元机产品这个用户基本盘，在当前存量市场竞争中显得尤为关键。

8、正式确定！中国男篮锋线大将完成转会，加盟北控男篮

但早期 VC 的常规退出周期约7年，月之暗面2023年成立，算上前期筹备，不少老股东已到该退出的节点。

今年7月，科斯蒂奇会先到米兰未来队报到，正式开始他在红黑军团的生涯。

当时就有网友调侃，两位大佬是去"挖人"的，毕竟当时马云是广州恒大淘宝的股东，张近东手里握着江苏苏宁和意甲国际米兰。

9、广东新赛季外援敲定！单场39+9超级前锋留队，朱芳雨重点补强内线

”斯卡洛尼在发布会上说完这番话后，泪洒现场。

据《米兰体育报》报道，这笔交易已基本告吹。

10、疆超联赛进行时丨备战焦点对决 阿勒泰队蓄势迎战伊犁队

从供电、液冷到机柜的形态无不如此，而在数据连接方面，最重要的就是用光替代铜，以此突破信号传输在功耗、密度和距离上的瓶颈。

事实上，梅西的商业版图远比外界想象得庞大。

1、王刚也没想到，和他离婚25年的成方圆，如今已经变得让他高攀不起

战术打法上，主帅雅金主打4-2-3-1阵型，可根据对手灵活切换3-4-2-1或5-4-1。

2、董路回应孙继海：你有什么资格评价我 我做的事你没做过 不是对手

曼联和阿森纳都进行了询价，勤笑公主动请缨加盟阿森纳，但曼联行动更快，已与球员团队完成首次接触。

3、上海男篮面临调整！更换外援，14人合同到期，补充5号位

但比内部分歧更棘手的，是整个流程正在耗费米兰最宝贵的时间。女排被爆冷，媒体人怒了! 六问赵勇：为何不早弃用状态极差的她?报告期内，AI大模型推理端持续扩张，数据中心对高性能存储产品需求快速提升。

4、The Athletic：亚特兰大联已开启努涅斯转会谈判，目前仍处初步阶段

考虑到摩洛哥的防守强度和法国的进攻火力，这场比赛可能不会出现大比分，预测法国1-0小胜对手，次选2-1。

5、换上2名老将后瞬间变强，中国女排3-2逆转胜德国女排，但有隐忧

当然，米兰引进努涅斯也要冒一定的风险。

6、局势反转！曾经的克星成队友，字母哥调侃：终于不用赛前猛补觉了

创业第二年，他就带领团队研发出中国第一条洗衣机电机机械化装配生产线，价格仅为进口产品的四分之一。

所以它的真正战场，可能不是与真宠物争夺主人，而是在那些真实宠物无法触达的场景中，例如办公室、出租屋、旅行途中，扮演一个轻量级的、永远在线的解压神器。

随着更多车辆驶入15万公里以上的里程区间，故障车辆数还会增加。

7、佟丽娅带儿子逛动物园！43岁打扮如少女，儿子朵朵被指“迷你版陈思诚”

唯一一次成年队交锋还要追溯到1972年的慕尼黑奥运会，当时哥伦比亚3-1击败加纳。

本场比赛是两队在世界杯赛场上的首次交锋，参考意义更多在于心理层面而非战术层面。

8、南京城市官方：外援罗伯蒂尼奥即日起将自由身离队

中国模型不再以低价换市场，而是以 Tier1 性能匹配 Tier1 定价。

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。

据《晚邮报》报道，意大利足协近几天已经致电米兰，提醒其需在6月16日前提交下赛季联赛注册所需文件。

未经审计的财务数据显示，2025年太洋科技营收8.51亿元，归母净利润1.48亿元；2026年上半年营收5.19亿元，净利润7013万元，全年盈利有望站稳1.4亿元关口，约为超卓航科当前净利润的二十余倍。