合规部门要求“立即起诉大股东执行回购”。

1、江南娱乐 不过他们并非唯一追求者，其他沙特联球队也在密切关注卡萨多的动态，并试图与巴萨协商更优惠的交易条件。

这是一个极为稀缺的“复合型资本结构”：国家队耐心资本、金融国家队、影视产业国家队、头部产业资本、顶级市场化VC。江南娱乐在周四1比0小胜MK Dons之后，热刺主帅德泽尔比公布了新赛季季前巡回赛的大名单，35人将随队前往新西兰和澳大利亚。

2、反转了！国安中场大腿吃“乌龙”黄牌，可以出战与泰山的京鲁大战

更为不利的是，希门尼斯在世界杯备战期间脚踝伤势复发，预计康复期长达六周，这将直接导致其错过夏窗初期的体检与合练，进一步削弱其市场吸引力。

3、英超新剧：赫尔城补时绝杀重返英超，偷拍门受害者米堡饮恨温布利

从甘肃的严寒到广西的洪涝，从地震到水灾，这支来自南美的球队用实际行动证明，他们对中国球迷的爱，从来不是停留在口头上的客套，而是记在心里、落实在行动上的牵挂。

4、梅西与C罗最后一争，美加墨世界杯成绝唱

5后卫+双后腰的配置让中路防守密不透风，对手很难通过地面渗透打穿防线。

5、ARK CEO：SpaceX股票虽腰斩，仍将是“全球史上最重要公司”

Agent本身也会生成大量新数据，无论是视频、图像、文本，还是推理过程中产生的KV Cache，都会进一步推动数据规模增长。

从任何一个单点看，这些动作都堪称教科书。

两队历史上共交手4次，摩洛哥3胜1平保持不败，进10球失4球，占据明显优势。

6、一觉醒来山东泰山喜迎3个利好，强援回归，目标调整，未来可期

” 弗里克的爱将：全能属性与战术服从 作为主帅汉斯·弗里克麾下的多面手，埃斯帕特曾被比作德国传奇拉姆。

不过在葡萄牙主帅看来，球队现有的中卫人选仍不能满足他的3-4-2-1体系，俱乐部还需要进行一波转出和转入操作。

7、台风“巴威”15时最新位置！徐州继续发布重要天气快报

葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

沈亦晨认为，光计算真正走向产业，需要芯片、封装、制造、设备、算力平台以及应用生态的协同推进。

8、数据为证：39岁梅西加冕世界杯“双王”，仍是当之无愧世界第一

尽管这份荣誉如今仍伴随着申诉的风波，但他在赛场上展现出的领袖气质与不屈斗志，早已超越了奖杯本身，成为了塞内加尔人民心中不可磨灭的精神图腾。

西班牙队在本届赛事中展现了令人窒息的防守统治力。

半决赛面对阿根廷，英格兰在上半场展现出了不错的对抗强度，戈登的进球正是来源于前场积极施压创造的机会。

9、一夜两大重磅！加拿大补时绝杀首进16强，莱万签约芝加哥火焰

三方谈妥了，但税务层面的财务问题迟迟未能理清，导致这笔交易大概率无法在八月之前正式落笔。

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。

10、双重成本挤压，超七成钢企半年报预亏

另一方面，即将赴任那不勒斯主帅的阿莱格里已经开始为新东家谋划未来，除了拉比奥特外，他还希望从米兰带走萨勒马克尔斯。

此外，俱乐部还将引进一名中卫新援，目前最热门的选项是来自哥伦比亚和乌拉圭的两位国脚球员。

1、海魂衫搭配白色，更解暑！

报道称，费尔明对康复计划每个阶段的反应都相当不错，随着训练强度逐步提升，他也感觉越来越自如。

2、5.10英超推荐：伯恩利vs维拉

随着西班牙队史上第二次赢得世界杯，今夏在北美举行的足球盛宴正式落幕。

3、消夏丰味美食节开幕，数十家餐饮品牌开启“夏令时”延长营业时间

不管是在巴萨还是在我们这里，他都拼尽全力。克洛普接近执教德国，有可能引领一波名帅执教国家队的新潮流！AI推理并不是一个单纯的计算过程，而是一个完整的数据流动过程。

4、巴萨突然发力抢人！戈登、B席、小蜘蛛，只要有传闻一切皆有可能

旧设备还没回本，新一代产品已经上市——技术迭代跑赢折旧，是算力运营面临的首要风险。

5、强强较量！世界杯淘汰赛已定18席：日本战巴西 荷兰PK摩洛哥

从数据层面来看，已经晋级四强的法国三叉戟的统治力确实令人惊叹。

6、医学界要请喝10000杯咖啡到底是不是真的？官方消息来了

市场环境对企业Agent的要求也再逐步提高。

前两轮，加纳一球未丢！这可不是偶然。

这意味着，在Robotaxi、机器人等业务贡献出利润之外，特斯拉面向物理 AI 的这一艰难转型过程将持续数年的时间——烧钱是确定的，但挣钱却依旧在不确定之中。

7、陈行甲的商业帝国：一款视频课卖了180万

美国可以限制设备出口，可以拉长零部件清单，可以把更多中国企业列入实体清单。

这位少年究竟是如何一步步将“姆巴佩克星”的称号坐实的？让我们一同回顾这11场经典战役。

8、湘潭县石鼓油纸伞摘得华礼展“非遗文创金奖”_网易订阅

自2022年任职亚特兰大以来，达米科协助球队捧起了一座欧联杯冠军，打进过一次意大利杯决赛，并两次拿到欧冠资格。

首战7-1大胜展现了恐怖的进攻火力，多点开花的进攻体系令对手防不胜防。

推动创新主体研发适配智能体系统调用、复杂任务调度与高频决策的通用处理器，开发低延迟、高吞吐专用推理芯片。

这也是极佳视界成长故事中最重要的一条暗线：它不是从机器人起家，而是从汽车出发。