我实测了一下，告诉它“创作一段1分钟连续叙事生活短片，主题是普通人平凡的一日。

1、英亚体育 好的模型，高质量的交付结果，肯定有人愿意为此付费。

基层教练匮乏、青训体系断层、职业联赛动荡，留洋五大联赛球员为零，这些结构性痼疾绝不会因为世界杯多出了几个名额而自动消失。英亚体育与当前大多数以视频预测和像素生成作为主要路径的世界模型不同，飞捷科思选择从显式物理模拟切入。

2、英格兰传奇基冈去世享年75岁：他攻破苏格兰大门，却深爱这里并在此安家

好在贝林厄姆在比赛中保持了克制，没有因此吃到红牌，但英格兰队最终还是吞下了失利的苦果。

3、泽连斯基触碰普京底线，俄决心“以毒攻毒”，轮到乌克兰被毒打了

三个战场同时开打。

4、黑豹老板再掏5亿美元，美国银行体育场翻新总金额破13亿

库巴西坦言，他还在消化自己在这届赛事中所取得的成就——他已经确立了自己作为西班牙防线领袖之一的地位。

5、7月中期流动性净投放8000亿，扭转连续四个月回笼态势

本纳赛尔已与球队协商解约，将加盟卡塔尔球队北方体育。

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。

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

6、山西霍州通报“男子收取‘好处费’献血后口吐白沫、神志不清”：调查工作正有序进行，如涉事企业存违法违规行为，将依法依规严肃查处

如果说科技赛道是C罗近两年才重仓押注的新战场，那么体育产业则是他财富版图里厚实的基本盘。

在现有架构中，仅剩红鸟高级顾问伊布和负责财务运营管理的董事会成员卡尔维利留任。

7、身价1993万欧元对3.33亿欧元，卡塔尔能取得世界杯首胜吗？

此外，法国队中后场的稳固配置，为前场攻击群提供了坚实支撑。

当然，有人只是比较纯粹的球迷，比如马云。

8、世纪罕见！FIFA：美国前锋染红停赛缓期1年执行 特朗普：不公被纠正

疯狂的行业周期，带来过极致的利润红利，也引发了惨烈的业绩崩塌。

首轮对阵法国，塞内加尔上半场完全压制对手，射门数5比1领先，还打中一次门框，险些取得领先。

随着Kimi K2.6和K3.0的发布，月之暗面又重新成为了一家炙手可热的国产大模型公司。

9、海南中学江东校区小学部开工！项目位于→

数据最终要流动起来，要跨云、边、端不停循环，才能真正发挥价值。

7月21日，金价盘中跌破4000美元触及3999.68美元后迅速拉升；7月22日，国际现货黄金和COMEX黄金双双突破4140美元。

10、梅西强忍热泪告别世界杯：加时赛0比1惜败西班牙，20年传奇终章

我们的核心价值就是把硬盘做得更好、把容量做得更高，同时保证性能等各方面持续提升，从而支撑未来数据规模的持续增长。

我们始终保持谦逊，依靠团队作战。

1、有编制！邵阳最新招聘选调187人！

这份财报发布前，市场最为关注的并非利润，而是谷歌的资本开支究竟会继续扩张还是开始收缩，在美股“七姐妹”中，谷歌2026年的资本开支计划最为激进，它直接体现了科技巨头还愿意为AI花多少钱。

2、日媒：高市在安倍追悼会上表态被批，日专家“她不知道错在哪”

随后球队将飞赴都柏林，于8月5日对阵另一支西甲球队皇家贝蒂斯。

3、热刺35人名单揭晓：库卢14个月未出场，接近复出的他也落选

相比2024年夺得欧洲杯，西班牙两个边锋状态不及过往，尼科在俱乐部就遭遇了滑铁卢，如今伤愈复出仍需要找状态；亚马尔伤愈复出之后，体能和状态是渐入佳境，但与巅峰期还相差甚远，本届世界杯6场1球0助就是最佳证明。开拓者老板再挥“裁减”大刀：解雇王牌解说，NBA圈内被指“抠门”他们是一个糟糕的北约伙伴。

4、发布！米利西奇拿到上上签，中国女足亚运迎好消息，小组第一稳了

无数中国球迷跨越重洋，用真金白银和彻夜的呐喊为他们注入力量。

5、韩国赠还中国一对清代石狮，根据规格、质地、雕工刻法、形态特征等综合判断，应为清代王爷、公主等府邸门狮，交接现场视频→

第一个是营运车辆的质量标准问题。

6、张稀哲89分钟绝杀！国安1-0深圳新鹏城，终结队史中超最差开局_网易订阅

梅西本届赛事表现惊艳，但在决赛中却如幽灵般游离，赛后泪洒赛场。

最近一次交手是在2025年6月的欧国联决赛，两队常规时间2比2战平，葡萄牙通过点球大战击败西班牙夺冠。

阿森纳的发力恰逢一个微妙节点——围绕这名阿根廷人的争夺，似乎比此前稍有降温。

7、4.9万英里1986科尔维特敞篷四速手动，无保留价上拍

信息差可以靠主动去填，资源差不能完全抹平，但能缩小。

7月，A股半年报预告密集出炉，半导体板块亮眼行情持续刷屏。

8、NASCAR争冠车手维修区超速被罚 布拉尼代价沉重

许多年轻球迷彼时还未出生。

在二人离职新闻传出后，谷歌的股价盘中一度跌超7%，创下近一年来最大单日跌幅。

2025年1月，瑞幸咖啡首两家特许经营门店落地吉隆坡，马来西亚是瑞幸首个以特许经营模式布局的海外市场。

联想在全部16个赛场部署了超过17000台设备，并派驻了200多名工程师，提供了包括"FIFA AI Pro"足球AI超级智能体、3D数字人可视化方案、裁判视角AI视频增强系统等在内的一整套解决方案。