而凸性投资的意义，就是用一小部分可以承受的成本，为账户保留非线性增长的可能，也算是普通人一条通过投资跨越阶层的小门缝。

1、kaiyun.com 足球是竞技体育，好比逆水行舟，你不进就退。

是上半区的法国与西班牙延续强势，还是下半区的英格兰、阿根廷能否突出重围，一切悬念都将在绿茵场上揭晓。kaiyun.comThe 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、一汽丰田普拉多WALD沃德版上市 限时焕新价44.98万元

亲身经历今天这样的日子，和听别人讲述，完全是两回事。

3、乌黑猪肺被“神水”净化？上海民警现场做实验，还原保健品诈骗套路

但可以肯定的是，无论最终谁能捧起冠军奖杯，这都将是一届充满戏剧性与新王加冕的传奇世界杯。

4、辛纳恐怖战绩源于发球？一排行榜他有望跃居历史第一！

这个数据是系统优化的结果，模型版本、算子实现、服务器配置、网络带宽和调度方式，都会影响最终能交付多少有效 Token。

5、锐评紫薇丢冠：从超我到本我，兹维列夫2.0版本如何从超神到超鬼

7月17日iMoochi的正式上线，以1699元的售价（云朵充电底座套装1778元）卡位中端市场，标志着手机厂商对这一赛道的正式“宣战”。

根据合同约定，米兰本赛季在获得欧冠资格的情况下，阿莱格里将在现有期限基础上再续约1年。

这样的融资节奏，在国内具身智能赛道也十分少见。

6、科创7载丨产业升级：“被动融资通道”进阶为“主动组织平台”，“链主引领+上下游协同”集群发展格局形成

截至目前，港交所尚未公开其招股文件，公司也未对相关消息作出正式回应。

瑞士队的短板主要集中在进攻端。

7、刚怀上二胎婆婆天天哭，我甩出离婚协议那一刻，老公当场傻了眼

孙卓认为，“战略要坚定，但战术一定要灵活。

“互联网客户第一句话就是，你有10万片的供应，我们再谈。

8、历史首次！中国籍数学家同获菲尔兹奖 丘成桐：这是中国数学界几十年夙愿

周远几乎没有犹豫，先选了第一种。

法国队目前的尴尬处境，像极了当年被巴萨“溜猴”的皇家马德里。

荣誉与默契的边界 这是一场完美的“双赢”。

9、死亡之组！男足亚运会对手解析，出线难度急剧上升

在29岁的年纪，为巴萨这样级别的球队常年高强度出勤，身体开始出现磨损的迹象。

利物浦已向巴塞罗那正式报价，求购西班牙前锋费兰·托雷斯。

10、郭碧婷不让女儿看《白雪公主》，称：我不能理解，为什么被别人救了就要嫁给他

当然，摩洛哥也绝非任人拿捏的鱼腩球队，他们打造了一套固若金汤的铁血防守体系，凭借这套成熟战术，球队创下了27场不败、16连胜的世界级纪录，防守稳定性冠绝足坛。

图源 / Gemini官网 旗舰模型发布一再推迟，新模型表现不佳，让谷歌在基础模型的竞争中阶段性掉队。

1、最大对手出局！重磅三方交易落地，里夫斯续约湖人之路再无阻碍

当41岁的C罗遇上40岁的莫德里奇，这很可能是两位金球奖得主在世界杯舞台上的最后一次对决。

2、世界杯一直在等孩子长大

文中“周远”为虚构人物，涉及他的资金、交易与公司案例均为方便说明而设置；真实市场事件所依据的参考资料统一列于文末。

3、1971年李四光去世，“四人帮”不准开追悼会，周总理大怒：中国有几个李四光？_网易订阅

他在冬窗加盟之初的表现可圈可点，包括1月份对阵莱切打入制胜球，但之后却鲜有亮眼表现，在连续对阵都灵和那不勒斯首发但毫无建树之后，德国人的出场顺位已下滑到与希门尼斯同一水平。CBA最新消息！上海被禁止任何引援，媒体人质疑郭士强用人，吉林欲签2米10国产内线第三条路线是投资还没完全证明自己的年轻中锋。

4、前瞻

不过，这种陌生的正赛遭遇战往往充满变数，尤其是对于习惯慢热进入比赛状态的欧洲球队来说，塞内加尔开场阶段的高强度压迫可能带来意想不到的麻烦。

5、美国史上最大胆救援！飞行员被击落在伊朗后，更多内幕曝光

但因为对“肥胖不是病”的傲慢偏见，因为对百忧解的路径依赖，它亲手放弃了挖掘“金矿”的机会。

6、一个都跑不了，美深夜空袭后，伊朗不再留手，拿捏特朗普“七寸”

当时高盛急需资本和市场信心。

接下来很可能还有至少两名攻击手加盟。

更麻烦的是，据媒体报道哥伦比亚队内出现流感病毒，多名球员受到影响，加上从堪萨斯城飞到温哥华的长途奔波，体能和状态都可能受到影响。

7、ESPN记者：勇士对签下詹姆斯感到悲观，他们不认为自己处于领先位置

我们跟他们一刀两断，包括互访。

毕竟，像他这样能在大赛淘汰赛阶段挺身而出的球员，实属凤毛麟角。

8、《报告》：“世界模型”具有六大工业化价值

核心是将量化做到极致：从模型参数优化、硬件适配到场景化训练，通过自研非传统Transformer架构、定制化奖励函数与强化学习算法，实现低成本推理。

这些比赛对阿莫林的球队来说都是很好的挑战，尤其是在无法拥有齐整主力的情况下，迈尼昂和拉比奥由于世界杯征程，很可能会缺席全部季前赛。

这意味着，特斯拉的AI故事目前依然停留在“故事”阶段。

巴萨仅凭这一部分便入账153375欧元，其中巴西边锋拉菲尼亚累计入选13次，为俱乐部带来26585欧元收入，是队内预选赛阶段贡献最高的球员。