04 封测三巨头，集体狂飙 通富微电预计2026年上半年净利润为16亿元至18亿元，同比增长288.26%至336.80%。

1、乐鱼APP 公司处于利润拐点之前，新产品已经完成，几家客户开始试用，但续约率、客单价和销售效率还没有形成足够长的记录。

FILA AURA的研发将"稳"拆解为多重技术落点：中底内置FILA独家「魔鬼鱼稳定板」，鞋面采用Sorona高端服装面料，鞋面质感提升，鞋面剪裁更修饰，模糊运动与商务边界；鞋楦专为亚洲人脚型定制，修饰脚型同时给到全天穿着的包裹感。乐鱼APPThe 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。

2、【一城烟火 幕映冰城】让“对门不相识”变“观影一家亲”丨社区露天电影幕布不散场，点亮左邻右舍欢聚幸福时光_网易订阅

卡塞米罗已正式加盟美职联球队迈阿密国际。

3、绍兴中考志愿今起填报！这五大变化必须清楚！

这背后，显然不只是足球的吸引力那么简单。

4、亳州高新区：筑牢铁路“平安屏障”

当时体育总监贝尔塔负责加强锋线，阿尔特塔对这位西班牙国脚颇为欣赏。

5、离谱

真蓝黑CEO佩尔卡西的一番话也意有所指：“我与他有着非凡的关系，我非常清楚他近年来在这里所取得的成就。

上半区：矛与盾的终极碰撞，法国死磕西班牙 北京时间7月15日（周三）凌晨03:00，达拉斯AT&T体育场将见证一场当今足坛最强火力的正面对决。

关于他被打入曼联"冷藏名单"的原因，坊间众说纷纭，但无论真相如何，结果都一样——阿莫林不待见他。

6、16幅 冉茂芹小幅风景油画写生

但巴萨已不再被迫接受低于心理价位的求购。

争端核心在于军费——西班牙的国防开支仅占GDP的2%，勉强踩在北约的最低门槛上。

7、穷装不丢人！装修新家一定坚持的7个“穷装决定”，省钱又高级！

不过，阿拉伊贝戈维奇也存在一些明显的短板，比如身体对抗能力偏弱，防守积极性不高，这些都是年轻边锋常见的问题。

穆萨倒是让阿莫林很感兴趣，他有意在训练中测试美国人的多面手属性。

8、周鸿祎：网络安全面临第二次单向透明，中国必须拥有自己的Mythos

据悉，米兰当下的训练课强度大、节奏快，以高位逼抢为主基调，同时非常注重对青年队球员的考察评估，卡马尔达、科斯蒂奇、科莫托、奥索拉都是重点观察对象。

这种模式不依赖于某个明星总监或主教练，而是依靠一套完整的体系和流程。

脑机接口企业的技术路线已经出现清晰分化：博睿康、阶梯医疗、智冉医疗、脑虎科技都将侵入式或半侵入式医疗临床作为核心方向，主攻瘫痪患者功能代偿；强脑科技则专注于非侵入式路径，率先落地智能仿生手、康复训练设备等可规模化产品。

9、国际篮联宣布最新决定，日本队重大喜讯，中国男篮有些丢人了

IBM将收购HRL实验室，推动量子未来的发展 7月23日，IBM宣布已签署最终协议，收购旗舰研发机构HRL Laboratories， LLC（HRL）。

随着7月12日清晨两场1/4决赛的打响，2026年世界杯的最终四强即将全部落位。

10、瞄准备孕、怀孕人群的牙膏，是新刚需吗？

不过阿莫林在与高层以及老板卡迪纳莱的沟通中，明确表达了对这位瑞士国脚的认可。

瑞士定位球效率极高，而加拿大高空对抗成功率达到58.3%，这一环节的较量可能直接影响比分。

1、集成GPT-5.5能力，OpenAI升级「生命科学版GPT」，将合作诺和诺德

他们面对的又恰好是一个旧人生进度表逐渐失效的阶段。

2、高兴太早！中国男篮战胜中国台北却收两个坏消息，最大问题没解决

巴萨心中或许已经有了一个明确的心理价位，超出便不再跟进，但一切的前提是双方先坐上谈判桌。

3、以“三个重塑”答好教育强国时代考卷

西班牙在本届赛事中展现了令人窒息的统治力，他们至今仅失一球，传控体系完美克制了法国等强敌的高位压迫。526分考生贺永辉志愿怎么选？湖南农大提供王牌专业和院士导师公司处于利润拐点之前，新产品已经完成，几家客户开始试用，但续约率、客单价和销售效率还没有形成足够长的记录。

4、新疆2026年中考时间确定！

不过毫无疑问，卡塞米罗依然是一名顶级球员。

5、深圳交警试点推行电动车违法在线处理，多次未处理或影响征信

从纸面实力来看，葡萄牙无疑是更被看好的一方。

6、为了让国足进世界杯，FIFA主席真拼了：讨论扩军至64队 让中美合办

防线上的阿坎吉状态同样出色，单场99%传球成功率的表现展现了顶级中卫的出球能力，与埃尔维迪的搭档协防意识出众。

这就是DNA合成筛查的存在意义。

但光鲜的数据背后，藏着几道难以回避的坎。

7、这双丑鞋“泰”辣眼，跪求内娱不要抄作业

接下来，姆巴佩将在三四名决赛后返回皇马。

7月23日，A股脑机接口概念出现上涨行情，创新医疗直线涨停，三博脑科、倍益康、雷迪克、塞力医疗等概念股同步走强。

8、被骂“AI垃圾”后，《女神异闻录》画师终于承认：下个游戏不用AI了

多数人只盯着利润表，很少有人拆开这颗定时炸弹。

最大的变数还是C罗，41岁的高龄让他的爆发力和反应速度明显下降，如果继续首发却无法提供终结，反而可能拖累全队节奏。

通过结合FIFA世界杯与有奖互动机制，乐事将产品转化为消费者接触世界杯的入口，进一步拉近消费者与顶级赛事间的距离。

回过头来看，拉菲尼亚从头到尾都没有动摇过。