这一幕，像极了2007年iPhone发布前夕的手机江湖，人人都知道变局将至，但没人知道最终谁会胜出。

8小时票房破1178万！周星驰走面儿成功，韩红再迎两个“坏消息”

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摘要：不过最近一次交锋已经是10年前，西班牙在友谊赛中客场2-0取胜。

而本届世界杯的半决赛，更是史上首次出现四支前世界冠军齐聚四强的盛况。

1、博鱼手机不竞争不是躺平，而是要找到自己的叙事，找到自己真正擅长的事情。

这段“只有投入、没有产出”的阵痛期，考验的不仅是马斯克的决心，还有资本市场的耐心。博鱼手机如果能够得到名师的指点，再加上高水平联赛的锻炼，他的未来发展潜力确实不可限量。

2、SpaceX据悉暂停部分“猎鹰9号”发射服务预订，加快向“星舰”过渡

1/16决赛中，英格兰对阵刚果踢的异常艰难，开场不到7分钟就被对手反击破门，戈登替补登场后送出两次助攻，帮助凯恩梅开二度，最终英格兰2-1逆转取胜，惊险晋级16强。

3、官宣伤停后火速锁替身，红军强截巴黎猎物

” 亲眼看过两家赚钱的店后，他才下定决心。

4、火箭与湖人系列赛前瞻这轮系列赛最多的变量非这两位球员莫属

值得一提的是，接替他的范博梅尔让狼堡的成绩一落千丈，执教4个月胜率仅30.7%，随后黯然下课，如今荷兰人也是米兰重点关注的目标。

5、2026“一带一路”语言教育文化论坛暨国际英语教育中国大会在北京开幕

他先后集齐了国内几乎所有“大厂”的顶尖人才计划Offer，却选择了加入这家初创公司。

不仅新基金停了，存量项目的筛选标准也在过去一个半月里发生了天翻地覆的变化。

当前，重建期的米兰已经确定了主教练人选，他就是前曼联主帅阿莫林。

6、WPS 365发布组织级AI新品Comate，交付行业首个企业大脑

阿克曼在2020年退出信用对冲时，并不知道市场是否见底。

它不能只做模型仓库，还要解决可打印性、版权、创作者激励和内容质量。

7、上市54天交付突破3万台问界M6持续冲击中型SUV市场

正如球迷所热议的那样：“足球总归是技术流的运动。

过去一年，字节、阿里、腾讯等大厂加速投入，DeepSeek继续用性价比和开源路线冲击市场，智谱、MiniMax相继上市，月之暗面一度被推到了一个需要向资本自证价值的尴尬境地。

8、武汉萝卜快跑涨价，基本与网约车持平？我们测了一下

以「夜乐园」为核心场景，《星夜奇遇》主题夜游活动既丰富了乐园的游乐体验，也带来新的梦幻和浪漫气息。

财务成绩单：营收涨了，利润缩了得益于汽车业务的表现，特斯拉在二季度的营收盘子，表现很不错。

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、渣男!法国前锋奥利塞被曝20个月大私生女,拒绝见女儿+支付抚养费

打印机负责把用户带进来，MakerWorld、耗材、配件和创作者交易则在机器售出后继续产生收入。

其中托莫里、洛夫图斯-奇克、莱奥等预计可回收约1.2亿-1.3亿欧元，再加上此前出售球员（如希门尼斯、波贝加等）的分期收入及附加条款，以及意甲电视权利诉讼案中米兰应得的约2000万欧元分成，预计红鸟财团今夏的净投入在1亿欧元左右。

10、秀我中国｜我在“高原世界杯”当观众

这个词让许多过去被忽视的感受获得了正当性，这是进步。

另一方面，扩充生态。

1、每体：库库雷利亚谈长子自闭症，盼世界杯夺冠

只要末轮主场战胜卡利亚里，就能确保拿到一个下赛季的欧冠名额。

2、安踏儿童"竞界新生"开幕秀活力开启2026中国国际时装周•童话小镇

算法和手机芯片的NPU算力、内存的读写带宽、系统的底层调度，甚至机身的散热设计都绑在一起。

3、最后一攻低级失误！杨鸣直言挖掘内部潜力，辽媒：阵痛期必须经历

据报道，尤尔曼认为自己在葡萄牙体育的周期已经结束，几个月前就和俱乐部主席达成了协议，今年夏天可以以大约3500万欧元的价格离开。把热爱拼成一桌，每一位球迷的热爱都值得举杯他很聪明，但毕竟只有19岁。

4、昂际智航低空航电飞控开放生态联盟启新程

”他强调，西班牙队不会因对手而改变自身打法。

5、3大功勋老将让贤后，国足还有1人该主动让位，邵佳一最好别再用他

2026年的WAIC让AI Infra空前热闹，但这份热闹主要集中在供应链端。

6、董路否认自掏腰包5800万：没花国家一分钱草台三杰？谁赢谁专业

防守端挪威保持4-4-2紧凑阵型，依靠中场的跑动和防线的身高优势限制对手。

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。

从目前的情况来看，双方互相都有兴趣，米兰需要一名有实力的中锋，努涅斯需要一个能踢上球的欧洲平台。

7、北控2换1报价徐杰，王少杰+数千万现金，朱芳雨心动吗？

” 另一人写道：“美国的机场简直是噩梦。

伊布主张让斯洛特担任主教练，普拉内斯担任体育总监，而卡尔迪纳莱则青睐朗尼克和格拉斯纳的路线。

8、180万人挤爆马德里！西班牙夺冠游行，到底点燃了什么？

对于那不勒斯来说，阿莱格里的薪资不是问题，他的薪酬低于孔蒂目前的水平。

由于双方球员参加世界杯半决赛，原定的联赛揭幕战对阵毕尔巴鄂竞技被迫推迟，因此巴萨新赛季首个正式联赛主场将安排在8月29日或30日迎战巴列卡诺。

2023年，巴萨以700万欧元将特林康出售给葡萄牙体育时，曾保留了50%的二转分成权利。

“母告子”始末事情还得从2015年说起。

NBA夏联：火箭负猛龙吞首败次轮状元17+6+6+5伦迪6三分太原建设路下穿火车站西侧主通道通车广告文案贬低、侮辱消费者人格，罗技被罚的只是20万吗？华发人居生活研究院取得可拆卸更换式中置百叶窗专利

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名嘴:孙颖莎就算低谷期保底也是4强她最强的一点就是下限巨高

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詹姆斯+浓眉！被拒！詹姆斯的下家，基本确定了...

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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. 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