后者长什么样？有三个特征极难模仿。

1、足球直播 在球队经历动荡、前任主帅下课的艰难岁月里，他是阵中极少数能持续保持高水准的球员。

孙卓认为，“战略要坚定，但战术一定要灵活。足球直播最沉重的一击发生在2024年4月21日，伯纳乌的国家德比。

2、知情人士透露勒布朗·詹姆斯是否会在周二，做自由球员去向决定

一切都在此一决。

3、阿森纳角球套路面临危机！IFAB新规世界杯生效：挤地铁战术遭严打

世界杯淘汰赛，英格兰磕磕绊绊，先后淘汰民主刚果、墨西哥、挪威，都是一球险胜晋级；阿根廷也是磕磕绊绊，先后淘汰佛得角、埃及、瑞士，其中2场比赛进行了加时赛。

4、台积电2027年晶圆涨价：先进制程涨幅或超10%，成熟节点最高涨10%

此后，巴萨还计划于8月3日与普雷斯顿进行闭门热身，8月8日参加一项三角锦标赛（对手可能为乌迪内斯与诺丁汉森林），传统赛事甘伯杯则定于8月19日举行，对手尚未公布。

5、革命卫队出尔反尔，不顾9000万伊朗人，带头发起了"国难财"？

篮球圈的故事同样精彩。

今年夏天，科莫托将继续跟随米兰一线队参加季前赛，由新任主教练对其进行评估。

近期战绩：状态起伏vs六战全胜 荷兰在世预赛阶段表现稳健，6胜2平全程不败，打入27球仅丢4球。

6、做心理咨询师，为什么“头两年”越努力，越容易走弯路？

从《德国转会市场》给出的数据看，米兰、尤文等意甲豪门在近两年的转会费支出还是相当大的。

届时，市场真正需要观察的，不再只是年度出货量，而是设备购买一年后的活跃率、每台活跃设备的耗材消费，以及创作者能否稳定提供可打印、可使用、可授权的内容。

7、穆帅将决定18岁马斯坦图诺多去留，前皇马主帅或将其带入英超

但狂欢之后，人们开始冷静思考，AI手机到底是怎样的。

这也是 TPU 再次获得关注的原因。

8、继杜锋卸任主帅后，曝朱芳雨辞去总经理职务，广东男篮开启新时代

卖车和储能赚的钱，直接被抽走投向了Robotaxi、Optimus、AI 算力和芯片工厂。

地平线、Momenta赛跑 同处智驾赛道，地平线机器人与刚刚上市的Momenta互为竞争对手。

不是普通人不行，是普通人的起跑信号，响得晚了一些。

9、贯彻落实习近平总书记考察上海重要讲话精神和对上海工作重要指示要求，十二届上海市委九次全会审议通过三个《意见》

第四场也是最后一场季前赛定于8月15日在波兰弗罗茨瓦夫进行，对手是阿莫林的旧主曼联。

据了解，该平台通过生成式AI、数字孪生、工程仿真、3D数字化及供应链智能体协同等技术，重构包装研发全流程，实现从创意生成、结构设计、工程验证到快速落地的全流程智能化。

10、高温又升级了！

卡迪纳莱亲自下场是米兰转会策略转向的核心原因。

从竞技角度审视这笔潜在交易，卡雷察斯的数据和技术特点确实对得上阿莫林的体系需求。

1、它被称为“天然青霉素”，抑菌消炎、抗衰老，但要吃对

而在这场失利的漩涡中心，除了凯恩自身的挣扎，英格兰主帅图赫尔的战术安排，更是成为了外界口诛笔伐的焦点。

2、“听见狗叫会心惊，洗澡、蹲厕都不敢太久”，委内瑞拉震后1个月：发生上千次余震，约5万人仍处于失踪状态

明明有清晰的前车之鉴，叠纸依旧在《恋与深空》重启新男主扩容计划，这份铤而走险的背后，藏着整个乙女赛道无法回避的双重困境：存量市场的商业焦虑，加上日趋严重的创作枯竭。

3、全新中型家轿上市！不足十万可选增程/纯电动力，还配无框电吸门

油价。切尔西1.17亿镑买了个真核？一山难容二虎，罗杰斯会水吗？2020 年夏天，莱比锡以 3600 万欧元的价格从萨格勒布迪纳摩签下当时还名不见经传的克罗地亚中卫。

4、理论实操双比拼，潍坊市职业技能大赛电梯安装维修工竞赛开幕

” 这“最后一步”的缺失，不仅让英格兰队史第六十年的冠军等待继续，也将凯恩推向了舆论的风口浪尖。

5、锁单过万，ID.9X一炮而红！上汽大众夺回市场：后续6款车锁定TOP3

现场的大佬们各有支持的球队，立场分明。

6、新华解码丨明年起试点 挥发性有机物将全部纳入环保税征税范围

要做的是如何在有限的条件下，去尽最大可能挖掘每一块GPU的利用率，从而去实现算力的平权。

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。

主要目标有2个，都出生于2004年。

7、马竞神锋有逃离的心，巴萨没钱，皇马有心，成全对手难如登天

一方面，品牌方严格控价，减少折扣，可能会造成其短期的销量下滑，如果后续为消化库存再度大规模进行官方打折，又会进入此前的困境，改革意义大打折扣。

据《每日体育报》报道，马德里竞技在夏窗开启后投入不小，财务压力随之而来，如今已到了难以轻松应付的地步，俱乐部面临着出售重要球员以平衡账目的现实压力。

8、深度！解析曼联2名巴西新援中场埃德松与安德雷桑托斯技术特点

泡泡玛特已经把美国市场当成了头号增长引擎。

即便全场隐身，他也能在瞬间改变战局。

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。

从VCD时代的数码照片刻录软件，到基于实拍素材的剪辑工具Wondershare Filmora，再到现在基于AI生成的创作平台“万兴剧厂”，在吴太兵看来，这并非跳到一个全新的领域，而是沿着影视创作市场的技术演进脉络的自然延伸。