几笔操作下来，钱没少花，急需的稳定火力点却始终没有建立起来。

1、天博官方 转会切尔西，当时看起来是对主帅和球员双方都合适的出路。

单次训练时长通常不超过90分钟，部分高强度课甚至压缩到45分钟，但单位时间内的冲刺、对抗、逼抢强度极大。天博官方挪威固定采用4-3-3高位进攻阵型，主打中场传导拉扯、边路传中、支点强攻。

2、国家电网上半年固定资产投资超3100亿元

GPU计算能力不断提升，但显存容量和数据供给能力的增长却相对有限，导致算力增长与系统整体效率并不同步。

3、世界杯决赛西班牙VS阿根廷，西班牙有3个坏消息，亚马尔有新情况

面对西班牙，比利时两个边路的防守会非常吃力，西班牙边锋+边后卫的多次冲锋陷阵，会逐步消耗以及攻破比利时的防线。

4、足协杯国安VS大连可为：全华班出击，池忠国坐镇中场，杨立瑜复出

政策导向亦与此一致。

5、男子抽出“草莓奶油血”！医生紧急提醒

罗梅罗本人倾向于前往西班牙踢球。

如今，据《i报》报道，热刺、切尔西和阿森纳三家英超俱乐部都有意在今夏将拉什福德招致麾下。

格拉斯纳是朗尼克战术体系的忠实拥趸，他非常强调高位压迫、战术组织和垂直进攻。

6、世界杯替补奇兵卢卡库，为穆里尼奥量身定做，能去皇马辅助姆巴佩

奥尼尔早年还曾押注谷歌、并成为品牌收购商Authentic Brands Group的第二大个人股东。

缺乏对这支球队灵魂的深刻共鸣，往往会在生死抉择时暴露出战术上的怯懦。

7、伊戈达拉：老詹考虑勇士印证库里影响力 就像姚明让20亿人爱上篮球

北交所的两轮问询已经精准地指向了这些问题。

按照盘中跌幅计算，这家科技巨头一日之内蒸发超过2000亿美元市值。

8、权力地震：英国新首相把“唐宁街10号”搬到曼彻斯特，地方市长直接接管经济决策权

周日，梅根登上了第二趟航班，这次坐的是经济舱。

吉达国民的直接竞争对手利雅得新月，则正在敲定今夏最重磅的交易之一。

可见，到目前为止，汽车业务仍是特斯拉的绝对营收主力，占总营收约73%。

9、理想重提“万亿市值”目标：若达成3个核心高管可获17亿激励

但阿劳霍缺阵带来的防线隐患、努涅斯的状态问题、贝尔萨战术的体能瓶颈，都给比赛增添了变数。

欢快的音乐声里，天幕渐暗，城堡不远处的旋转木马和飞椅亮起灯，演出如同一幕序曲，灯光装点下，一个独属于夜晚的蓝调时刻缓缓登场。

10、省财政厅长为何亲自给自己做饭，看完3·15终于明白了！

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。

中金财富期货直言：“美伊冲突升级，油价大涨，这给刚刚开始反弹的黄金重重一击。

1、30分钟砍13+3+2！火箭新秀改打新位置，控卫变前锋，彰显身高优势

周远不是现实中某个具体的人，更像是许多人设雷同的投资者集合，当然也包括老衬本人不少经历和缩影。

2、起底米兰目标新帅格拉斯纳：多次缔造神奇纪录，擅长培养正印中锋

从追逐暮年巨星到引进当打之年的实力派球员，沙特联赛的引援逻辑正在发生根本性变化。

3、差点要命！知名品牌暴雷！很多人骨折......

如果双方重新坐回谈判桌，总金额有望推高至大约1.2亿欧元。中甲球队输球惹怒球迷，球迷怒骂：丢人现眼，滚出陕西之后我们开始在Instagram上聊天。

4、10强落位，青岛复力第1！中冠总决赛直通及附加赛球队名单出炉

在资本、大厂与创业者纷纷涌入的喧嚣中，AI宠物能否跨越高级玩具的鸿沟，成为真正被市场长期接纳的品类，关键在于厂商不再执着于让机器更像宠物，而是专注于让机器更好地理解孤独。

5、风雨同舟 豫桂同心——见证跨越1600公里的救援

这球让人没法不想起伊涅斯塔。

6、​阿森纳加入阿尔瓦雷斯争夺战，马竞仍拒绝向巴萨松口

在全力备战与英格兰队“宿命对决”的高压时刻，这支志在卫冕的冠军球队没有选择两耳不闻窗外事，而是将目光投向了中国南方的灾区。

米兰的情况也好不到哪里去，从3000万欧元引进的圣地亚哥·希门尼斯到莫拉塔，再到3700万欧元的恩昆库、3000万欧元的亚沙里，以及1700万欧元的埃斯图皮尼安，都没有踢出预期表现。

之所以要“扬短避长”，实则是便利店切入新鲜零食赛道的务实考量。

7、“湘潭造”踢进世界杯

如果夏天收到合适报价，米兰将牺牲掉S2，以弥补其他位置的补强资金，英超和西甲是其潜在的去处。

托莫里的潜在下家目前尚未确定，英冠升班马考文垂曾表达兴趣，但遭到球员团队拒绝。

8、控制权争夺再升级！大股东所持北京汇源股权被冻结，*ST国中：对利润影响存在不确定性

没人料到，终止公告的余温还没散，新接盘方已经就位。

过去一年，字节、阿里、腾讯等大厂加速投入，DeepSeek继续用性价比和开源路线冲击市场，智谱、MiniMax相继上市，月之暗面一度被推到了一个需要向资本自证价值的尴尬境地。

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。

然后又一个决赛降临了。