主教练方面，球队先后经历了皮奥利、丰塞卡、孔塞桑、阿莱格里4名主帅，如果错失下赛季欧冠资格，也不排除今夏再度换帅的可能。

1、亚搏手机 39岁的梅西状态神勇，但与佛得角和瑞士都踢满120分钟，对阵埃及也一度陷入苦战，半决赛能否保持全场高强度输出存疑。

尽管如此，将莱奥出售仍被视为米兰今夏筹集引援资金的关键一环。亚搏手机赛后，费兰拒绝把这粒进球据为己有。

2、曼联引援：科内遭沙特球队介入，斯科特争夺战领先阿森纳

荣耀CEO李健则将这一理念上升到了哲学层面：AI的演进必将脱离冰冷的工具属性，从操作系统到具身交互，全面迈向伙伴型的类人生命体。

3、仅行驶1.1万英里的2013款法拉利458 Spider现身市场

2026世界杯身价前11球队与成绩：当终场哨声在亚特兰大体育场上空回荡，39岁的莱昂内尔·梅西跪倒在草坪上，泪水夺眶而出，这是阿根廷队长幸福的泪水。

4、2-0！美国将止步16强？大胆：主裁敢将东道主的射手王红牌罚下

这种费用具备可怕的刚性：即便下季度交付量下滑，你也不可能裁掉核心AI团队或关停超算集群，因为一旦停下，前期的巨额投入立刻沉没。

5、曼联传奇痛批！英格兰世界杯出局头号罪人！阿森纳王牌全程拖后腿

与此同时，伊布也在评估现任奥地利国家队主教练朗尼克出任米兰技术总监一职的可能性。

” 他一开始没听懂，后来才知道，对方说的是一笔合同之外的“茶水费”。

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。

6、文化中国行

自吉鲁离队后，引进一名强力中锋始终是米兰管理层绕不开的话题。

墨西哥作为东道主之一身处A组，面对南非、韩国、捷克三战全胜零失球排名第一晋级，展现了强大的防守实力和稳定的进攻效率。

7、CCTV5直播申花VS海牛！李嗣镕有望迎首秀！司机：困难很多，阵容也不够厚

真正的问题只有一个：谁来组织这条链？ 可预见的格局是：由承担最终责任的系统级主体担任"链主"，统揽全局——保障系统稳定、确保任务交付、做好客户服务；软件平台、数据中心、集成商及行业服务商则在各自环节做到不可替代，通过标准化的接口与责任约定接入整体交付体系。

原本格林布什矿山就处于全球硬岩锂矿成本曲线最底端，扩产后的规模优势，将进一步拉大与同行的成本差距。

8、杜锋将离任，广东换帅三大热门出炉，谁能拯救球队？

这让人联想起大洋彼岸的类似动向，OpenAI并购了苹果前首席设计官Jony Ive创办的公司，还被曝与联发科、高通合作自研手机处理器。

9月1日起，锂电池按2%征收消费税，2027年9月升至4%；钠电池、固态电池则免税至2028年底。

现在很多AI产品会结合用户过去的使用记录和交互历史来理解需求，这意味着系统需要长期保存大量上下文信息和记忆数据，只要开始用Agent，存储方面的储备一定是非常巨大的。

9、世界杯头号水货！英超天才输球又输人！曼城亿元新星彻底现形

其次是即战力，镰田大地已经在德甲和英超证明过自己，并且有1年的意甲比赛经验，不需要太长的磨合时间。

但网约车一年能跑十万公里，15万公里的质保线两三年就到了。

10、这场文化大赛为何选择泸州？三千年文脉告诉你答案……

沈亦晨将光计算的发展划分为三个阶段：2015年以前是理论探索期；2015年到2025年是产品突破期；未来10年将是市场渗透期。

分析人士告诉公司观察，主要是因为市场“弱预期压倒强现实”，虽然当下需求旺盛、产能利用率高，但市场在提前交易远期供给宽松及电池消费税压制远期需求的逻辑，叠加隐性库存显性化，导致价格下跌。

1、6.8万公里、仅添10公里：日规1997款保时捷911 C2S出售

随着比赛进入60分钟的分水岭，西班牙在经历加时赛后的体能劣势可能会显现，边路回追与中场覆盖能力或将下滑。

2、从立雕像到“见死不救”，Ole Miss 助教用球迷恨意留住两核心

此次接手国家队，对这位传奇球星而言，既是信任，也是一次全新的严峻考验。

3、日本足球的天花板，一动也不动

54号文发布至今这50天里，从北上广深的高端写字楼到地级市的招商局，一场涉及数万亿资本的博弈与自救正在无声演替。麦克风没关！加拿大总理与特朗普私聊中国电动车，意外对全球公开02 瓶颈终会到来 迪马基离开的两年前，礼来就已经遭到了命运的重击。

4、随着亚洲杯赛程敲定，中国女篮12人名单浮出水面，复仇日本有戏

供给紧张时，平台无法确保资源供给；市场转冷，它也不会替上游分担闲置成本。

5、曼城亏大了！英格兰 1.2 亿水货世界杯现形，天价身价彻底露馅

随后，伊劳拉转战西乙球队米兰德斯，在那里锻炼1年后转战巴列卡诺，带队首个赛季就率队成功冲甲，随后2年都获得西甲第12名。

6、从1.5万美元冠军戒到3000美元球衣，霍普·索洛拍卖45件美国女足生涯信物

过去，这种操作需要深厚的分子生物学知识：怎么拆才能既躲过筛查、又能保证后续能准确拼回去，哪里切断、哪里保留粘性末端，都需要专业判断。

市场给周期股的PE，天然就压在这个区间。

将订单中的DNA序列与已知的风险数据库进行匹配，这些数据库收录了各类病原体（如天花、鼠疫、埃博拉等）的完整或部分基因组，以及已知的毒素、毒力因子基因。

7、文化中国行

比利时全队总身价约5.5亿欧元，阵容中星光熠熠，多数球员效力于欧洲五大联赛豪门。

此外，如果格拉斯纳加盟米兰，将有利于球队签下水晶宫射手马特塔。

8、泽连斯基：乌将与美雷神公司联合生产“爱国者”防空导弹；在乌克兰危机中，乌依赖美制“爱国者”反导系统拦截俄导弹

然而，真正的巨星从不会被一时的挫折击倒。

我付出了最好的自己，始终为我们的祖国奋力拼搏。

跻身前五的还有2012赛季，伊布拉希莫维奇和蒂亚戈·席尔瓦的出售产生了5340万欧元的资本收益，这一年也被很多球迷定义为米兰衰落的起点。

联合创始人朱政同样是清华系背景，中科院博士、清华博士后，现任通用世界模型北京市重点实验室主任，负责学术端的深度。