但上赛季真正精彩的地方在于，两支升班马——桑德兰和利兹联——都展现出了相当的实力，不仅制造了一场真正的保级大战，还最终成功留在了英超，为联赛注入了新鲜血液。

1、米兰体育 除莱奥外，福法纳也受到土超球队的欢迎，这位法国中场在阿莫林的3-4-2-1体系中被判定为跑动不达标，已被正式摆上货架，目前贝西克塔斯领跑法国人的追逐战。

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。米兰体育拉什福德上赛季租借效力巴塞罗那，各项赛事出战49场，交出14球11次助攻的成绩单。

2、专家质疑图赫尔雪藏萨卡与梅努用人决策

”他表示。

3、《这是我的西游》张凯丽见到丁程鑫激动落泪，直言“非常想念”

全场控球率只有28%，射门次数9比21大幅落后，但4次射正就打入2球，反击效率惊人。

4、撇开欢乐跑，骂马拉松的人只会更多

当决赛的哨声即将吹响，面对梦开始的地方和拉玛西亚的师弟们，梅西的每一步都在书写历史。

5、“爱莎公主都比这体面！”宝妈晒家长会幼态穿搭，评论区却吵翻了_网易订阅

这是我唯一能说的词，当然，还有悲伤。

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。

乌奈西蒙在本届赛事中七次零封对手，仅失一球，毫无悬念地将最佳门将的金手套奖杯带回家。

6、爱彼“最复杂时计”来北京，凭什么封神？顶级藏家就看这3点

开业那天正好赶上中秋节，按理说，是一年里最好卖的几天。

阿莫林同时非常注重对年轻球员的培养，在首次公开训练的3-4-2-1分组对抗中，卡马尔达和科斯蒂奇分别出任两组队伍的锋线箭头，二人有望竞争新赛季拉莫斯的轮换角色。

7、中央安全生产考核巡查组第六组对上海市开展三季度安全生产明查暗访

这场未解的现实冲突，让足球场上的对抗被赋予了“民族尊严挽回”的额外重量。

年轻影锋曼赞比的崛起则为球队注入了冲击力。

8、看着特别真诚，结果全是演的！组织严密，话术极具针对性，警方出手：团灭，更多细节曝光

特斯拉挣来的钱都去哪了？ 卖碳的钱，回不来了 监管信贷收入4.39亿美元，同比-51%，直接腰斩。

” 基于对用户群体的细分，万兴科技注意到两类典型需求。

03 原来卷绩效，现在开始卷内核 麻烦也从这里出现。

9、英格兰惨遭逆转，凯恩暗批图赫尔：在这个级别死守，守得住吗！

特斯拉正在做的，已经不是“多造几款车”，而是试图把汽车、能源、算力、芯片和劳动力装进同一张资产负债表。

利雅得新月是表现出具体意向的球队之一，他们希望再次补强阵容。

10、小鹏人形机器人已开启小批量试生产

这不是机器人不够灵巧，而是它根本不知道杯子是易碎的。

Kimi K3正是这套逻辑在中国市场的一次有效验证。

1、全国开展电动自行车淘汰赛？假的！已购旧国标电动车不会被强制淘汰

如今看来，这并非不知天高地厚的狂妄，而是基于绝对实力与历史战绩的底气。

2、首付500万，南京城中板块新房怎么选？这份置业指南请收好

三个月，三轮融资，合计约35亿元。

3、这5件2026届毕业油画作品，被中国美术学院美术馆收藏

更值得玩味的是，就在特斯拉高调宣布奥斯汀全域覆盖无人驾驶服务的同日，有媒体披露，该市真正投入运营的Robotaxi车辆仅约20辆，且其FSD系统在上半年发生了17起已知事故。携程海外版上线“奇境中国”榜单 面向全球24个国家推出百项全球领先中国文旅体验AI宠物绕过了这些麻烦，但也因此可能削弱了情感的深度。

4、越南金融圈二代杀疯了！董事长穿皮裤唱跳，95后学霸迎娶选美冠军

储能电芯排产数据显示，其正以季度环比加速的节奏快速消化碳酸锂库存。

5、太宠妻！刘强东为妻子开美术馆，章泽天出席筹备仪式，气场全开

常规时间最有可能的比分是英格兰2比1小胜，或者1比1战平进入加时。

6、科技七巨头单日抹去近9000亿美元！华尔街老将喊话：市场过度反应，地缘危机即买点

他既有禁区内的头球破门，也有对阵都灵时的凌空世界波，这种强力带刀侍卫也是最受转会市场欢迎的类型。

前段时间，希捷与SK Hynix联合发布的白皮书里提到，KV Cache需要被存储下来，用于保留和记忆对话上下文，因此会带来较大的存储需求。

但这个夏天，热刺疯了。

7、扎克·克雷格版《生化危机》预告来了，这部没有米拉的RE会是什么味？

拉长周期来看，自去年碳酸锂价格触底反弹后，天齐锂业股价曾迎来一轮修复行情。

但狂欢之后，人们开始冷静思考，AI手机到底是怎样的。

8、输球输人！阿根廷3大输不起行为：背对冠军领奖 球员打人 拒绝采访

考虑到德容上赛季已经因伤病问题缺席了不少比赛，俱乐部对此感到愤怒并非不可理解。

霍伊别尔是最近被推荐给红黑军团的人选，这位31岁的丹麦中场在马赛效力了两个赛季，个人表现相当积极，目前正在考虑离开法甲。

预测阿根廷常规时间1-0小胜，或者1-1战平进入加时赛。

本周返回伦敦后，专科医生检查确认他遭遇了背部伤病，需要一段康复期。