产能过剩对行业盈利能力的系统性压制仍在持续，龙头企业虽有余力，但全行业价格战和利润摊薄的压力并未解除。

1、Kai云体育 多数核心玩家对固定男主投入数年时间、精力与情绪，早已形成稳定的情感认知与陪伴预期。

伯克希尔投入50亿美元，获得票息10%的永久优先股，同时得到以每股115美元买入约4348万股高盛普通股的认股权证。Kai云体育法国队本届赛事前六场保持全胜，小组赛三战轰入10球仅丢2球，以I组头名强势出线。

2、没有信号表示詹皇要签勇士！巴特勒+多首轮追AD遭拒 续约追梦成备选

四分之一决赛比利时遭受的打击更为致命。

3、2026围甲联赛第八轮浙江浙商证券继续领跑，上届亚军继续低迷仍未脱离保级区

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。

4、2030 世界杯要扩军到 64 队？

由于本职是后腰，里奇的防守属性明显强于莫德里奇和亚沙里，而进攻端的数据也还不错，赛季至今31次出场贡献1球3助攻。

5、恭喜广东队！洛夫顿疑似拒绝降薪续约上海，朱芳雨有望出手截胡？

智能体需要储存、需要知识库、需要上下文缓存、需要处理海量数据，而所有这些需求，都在指向同一个答案：超节点。

Artificial Analysis的文生图榜单 这条路更难，但更有可能走向学术定义上的“世界模型”。

米兰的赛程看起来最温和，但温和只是纸面。

6、美媒评50大垃圾话高手：伯德加内特乔丹列前三 詹姆斯排名第50

它不像谷歌拥有一个可以立刻变现AI能力的成熟云业务。

进入淘汰赛后，阿根廷接连遭遇苦战，1/16决赛对阵佛得角，打到加时才分出胜负。

7、表演、被遗弃、等待命运：困在加拿大破败水池里两年多的白鲸，有了新消息

梅西将会冲击个人第二座大力神杯，这才是球员的最高荣誉，没有之一。

后来团队为了做其他项目买回 3D 打印机打样，才近距离进入用户论坛和社区，看到大量用户每天都在讨论如何把机器调好。

8、没身高+没投篮+没策应！季后赛场均10分，却还能拿5年2.2亿大合同

退役，不是离开，而是另一种形式的守护。

梁文锋在强调「管理一个大公司，靠的不是规章制度，靠的是愿景」，他的愿景显然是AGI。

多家机构将2026年称为“国产超节点方案量产元年”。

9、广东U21夺冠，杨溢30+准三双，王洪泽20分15篮板

主帅人选格拉斯纳的决定权也在米兰手中。

因此客户希望同时获得更高容量、更低能耗、更优TCO。

10、“我花近万元买的智能眼镜，最近不敢戴出门”

（文｜AI Boom Global，整理｜杨秀娟）2026 FIFA世界杯决赛夜，上海INS新乐园变身为乐事观赛派对现场。

它要求他证明另一件事：耐心。

1、福利帖！青岛男篮限定车贴，免费领！

通过在零售电商领域里做市场验证，用户获得了好的收益。

2、token套餐来了，电信运营商着急了？

英格兰的隐患主要集中在防线。

3、湖人记者：不会轻易交易布朗尼，球队“非常乐意”留下他

防守端球队体系成熟，非洲杯7场比赛5次零封，世预赛10场7次零封，库利巴利指挥的防线紧凑且对抗强硬，进攻端一旦断球就迅速反击。曝周鹏有望新赛季有望重返广东男篮！未来或成为杜锋接班人本场比赛，大连英博的战术意图极其明确，且执行力堪称完美。

4、华为崛起，苹果“望风而逃”，iPhone在印度生产线不断扩大

他呼吁球迷和媒体不要仅以进球数据作为评判标准，而应看到这名19岁边锋在战术体系中不可或缺的全能价值。

5、欧盟宣布对六名伊朗个人实施限制性措施

据交易人士称，既有部分境外投资人因赴港上市需拆除红筹架构带来的投资成本上涨而退出，也有不少是在估值提升后退掉本金、希望能及时获得财务回报。

6、徐昕签约美国经纪公司，还需广东开具澄清信；徐杰特训成绩斐然

在调侃之外，地平线机器人、Momenta本质上是直接交锋的竞争对手。

热身赛数据显示，英格兰场均控球率达到69.1%，场均射门17.6次，被射门仅6.2次，攻防两端展现出统治级表现。

这一变化正传导到国内市场。

7、肝病、肾病患者注意！吃糯米制品要谨慎

中场核心J罗虽然年事已高，但创造力依旧出色，对阵葡萄牙时76分钟就贡献5次关键传球，展现了大师级的传球视野。

比分预测方面，更看好法国2-1取胜晋级，或者双方90分钟战成1-1、2-2进入加时赛。

8、侮辱性极强!贝林厄姆打人原因曝光,恩佐进球巴尔科冲到英格兰队面前庆祝

产业链可以千军万马，算力服务注定是少数人的生意。

16次传球完成12次，唯一一次传中没有找到队友。

在西蒙尼的调教下，马竞球员普遍具备体能充沛、战术执行力极强以及心理素质过硬的特质。

这位18岁的希腊国脚目前效力于比甲的亨克，16岁就在一线队完成首秀，25/26赛季比甲34场10助攻、欧联杯11场4助攻，数据层面具备说服力。