而Vaibhav Taneja 补充称，下半年还会进一步增加，未来两至三年持续增长，自由现金流预计持续为负直到2029 年。

1、乐鱼APP 其次是中场控制力不足，法蒂伤缺后，中场的防守硬度进一步下降。

阿莫林最受红鸟财团器重的能力是擅长培养年轻球员，战术打法先进，完全符合米兰的建队思路。乐鱼APP被替换的项目是那些与主业关系不大，且消费属性较为明显的项目。

2、比文班高2公分！快船双向合同签2米26夏普 G联盟场均4.1帽当选DPOY

对很多家庭来说，“今天要打印什么”不是一个天然问题。

3、同样是残阵 火箭与湖人的差距在哪里 火箭该如何去复盘

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、又是纳达尔网校！帮斯瓦泰克找教练 培养青少年世界第一 学费不菲但成材率蛮高！

津巴布韦矿业部后续确认，出口禁令将于2027年1月正式实施。

5、火箭赢了76人26分，但是替补中锋的正负值竟然离谱到了-11？

三、真正扎心的，不是那 1 万块，是"分层在提前" 如果只盯着数字看，这篇文章早该结束了。

高空球和定位球是瑞典队的传统杀招，凭借身高优势，他们在角球、任意球进攻中威胁极大。

这样的组合已经在法兰克福证明了自己的能力，他们打造的球队不仅在德甲赛场表现出色，还在欧战中取得了不俗的成绩。

6、小梅西隆重登场！曼联公布第二场热身赛大名单，800万新援落选谢什科仍伤缺

端侧硬件有望进入新一轮升级周期。

25/26赛季开赛前，科莫托随一线队参加了与阿森纳、利物浦等球队的热身赛，表现可圈可点。

7、龙创基金被出具警示函，涉未更新信息等

中国模型不再以低价换市场，而是以 Tier1 性能匹配 Tier1 定价。

综上所述，此役看好法国淘汰西班牙晋级决赛。

8、世界杯还没开踢，潮流时尚圈已经先「斗」起来了？

足球本应超越政治，但在权力的游戏面前，绿茵场上的黑白分明早已被染上了灰暗的底色。

巴黎方面和费兰方面有过初步的续约接触，但也仅仅是试探性的，并没有深入。

此外，鉴于部分球员参加了世界杯淘汰赛阶段比赛，巴萨2026-27赛季西甲揭幕战已获准延期，球队将于8月23日做客马丁内斯·巴莱罗球场挑战埃尔切，正式开启新赛季联赛征程。

9、世界杯和AI，为什么能同时挤进小红书？

不仅是月之暗面，我们在国内大厂的AI业务操盘者、头部的模型创业公司身上都能看到与Anthropic相近的认知和行动。

而在固态电池的喧嚣之外，还有一个被大部分人低估的变量正在悄然成型。

10、7月25日河北五超邢台赛区第六场！邢台队主场迎战雄安新区队

他做了检查，伤情没有恶化。

不过上周末有消息称，刚被切尔西截走罗杰斯的阿森纳，可能反过来截走拉克鲁瓦，以报一箭之仇。

1、小米扔深水炸弹：100000h真实数据，首次系统验证机器人Scaling Law

小组赛前两轮，挪威4-1大胜伊拉克，3-2险胜塞内加尔，两战全胜积6分。

2、1980年，众人要求处死江青，陈云：若一定要杀，请写“陈云不同意”

多面夹击的生存危机 如果只看融资和技术，极佳视界风光无限。

3、雷霆再遭挖角！投篮大师恩格尔兰转投火箭

这些专业术语翻译成四句大白话。火箭大胜尼克斯 申京角色转变激活全队 乌度卡似乎找到赢球的形态当2026年世界杯的聚光灯逐渐亮起，各路豪强纷纷亮出底牌，而法国队凭借前场“四叉戟”的恐怖数据与战术适配性，毫无悬念地稳坐头号夺冠热门的宝座。

4、春节前新闻扎堆，节后大量新品将至｜势力新鲜报

从体育法律的客观角度来看，这份请愿书不具备任何官方约束力，FIFA章程中并无因球迷主观质疑裁判偏袒就驱逐球队的法定条款。

5、阿根廷决赛失利怪“负能量”？这届世界杯的政治暗流藏不住了

2019年12月，他在佩纳罗尔开启了执教生涯首秀，但仅带队11场取得4胜便黯然下课。

6、三年合同为何两年收场？WTA年终告别利雅得，前往印第安维尔斯

最后是利益分配的硬骨头。

上赛季他在俱乐部各项赛事中出场57次，贡献25粒进球和28次助攻，如今更是法国队征战美加墨世界杯的核心成员。

不过瑞典的高空球优势和定位球威胁，仍是日本需要重点防范的环节。

7、兄弟们，记住文班亚马的这个瞬间

靠这份报告，下一段实习进了中厂。

同样是三中卫，阿莱格里更侧重低位兜底和抓转换，阿莫林的思路则是边翼卫大幅前插、中场不停换位的3-2-5强攻阵。

8、凯文-加内特：当我和科比还是NBA的未来

三款“全球首款”，三种完全不同的打法。

围绕OPC群体，万兴科技在WAIC期间推出“万剧出海创投计划”，目标是投入数亿资金与资源，扶持上万部AI影视作品的创作。

尽管西班牙的拉科鲁尼亚也有意向，但维拉提供的竞技平台与转会预算更符合球员和米兰的预期。

尤文内部仍抱有一丝希望，期待维拉最终能够松口放人，但目前来看，这一可能性并不大。