纽卡斯尔在出售戈登和托纳利后拥有充足的转会预算，签下托莫里在财务结构上完全可行，俱乐部也需要用有分量的引援向球迷展示雄心。

1、yb体育 杨植麟的判断是，公司B/C轮融资金额就超过绝大部分IPO募资及上市公司的定向增发，因此“择时而动，主动权掌握在我们手中”。

Kimi K2采用了DeepSeek V3的MLA注意力机制，DeepSeek V4粒则引入了Kimi大规模验证的Muon优化器。yb体育当年从阿贾克斯以欧洲最耀眼中场新星之姿加盟，德容的巴萨生涯却一再被伤病打断。

2、美国国脚告别美职联？25岁伯哈尔特200万美元转投英冠米堡

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。

3、科杰查：好消息是首马破2；坏消息是名次没破2｜人类“破二”系列报道05

原因是该交易发生在2025年6月30日前，已被统计到24/25财年账目，因此尽管荷兰人是在去年夏窗离队，但不会计入25/26财年。

4、3月17日NBA实力榜更新！湖人第6，雷霆力压马刺稳居第1，勇士第22

巴萨仍是可能的下一站。

5、王麒凯:樊振东参加德甲就打不了乒超 除非是乒甲他可以打

青训方面，基洛夫斯基继续负责米兰未来项目，韦尔吉内执掌青训部门。

特斯拉单车营收42,230美元，比亚迪在2万至2.5万美元区间，根本不在一个价格带竞争；库存天数24天，远未达到危机水平，说明需求端并非元凶。

27岁，正值职业生涯的黄金期，但他至今未斩获过金球奖，俱乐部层面更是连续两个赛季面临“四大皆空”的窘境。

6、英格兰头号罪人！52岁图赫尔还剩50分钟就死守+换2后卫 球员落泪

在接受《阿斯报》采访时，库巴西谈到了自己的成长、与队友亚马尔的关系，以及即将面对姆巴佩的挑战。

值得一提的是，在地平线股价回落后，目前已经与近日港股新星Momenta的市值极为接近。

7、【CBA联赛】季后赛1/4决赛G2｜浙江稠州金租91-95深圳马可波罗，遗憾止步八强

瑞士队（第十四，升5位）凭借闯入八强的出色战绩大幅跃升，挪威队（第十九，升12位）同样杀入四分之一决赛，排名飙升12位，进步最为显著。

仅凭创始团队和单一股东资金无法长期支撑这种级别的持续扩张，走向资本市场几乎是必然选择。

8、沙特直升机公司增购八架空客H145直升机

因为API的B端调用才是真正的消耗大户，而B端客户对价格的敏感度远低于C端，100元/百万tokens的高定价不仅没劝退用户，反而成为“性能对标海外旗舰”的信任锚点。

阿根廷占据64%的控球率，射门15次，更是英格兰的3倍，其中5次射正，而英格兰仅有2次射正，阿根廷更加勇敢，潘帕斯雄鹰配得上晋级决赛，而三狮军团沦为“三喵”，只守不攻，最终败北。

“互联网客户第一句话就是，你有10万片的供应，我们再谈。

9、ChatGPT接入苹果健康，AI可全程管理个人身体数据

有错失的机会，也有把握住的机会。

这批电芯的故障画像高度统一：车型集中于AION S Plus、魅580、S MAX；行驶里程几乎全部落在15万到25万公里之间；故障表现先是续航莫名缩水，继而仪表盘报绝缘故障，BMS限制动力输出，最终行驶中直接断电趴窝。

10、CCTV5直播上海VS广厦悬念再起！洛夫顿带伤作战，卢伟要终结悬念

波切蒂诺治下的美国主打高位压迫体系，前场逼抢积极，断球后立即发动快速转换进攻。

2026年美加墨世界杯决赛即将打响，时隔16年重返决赛的西班牙将迎战卫冕冠军阿根廷。

1、三盘鏖战力克前温网冠军，穆霍娃时隔四年重返温网八强

第二：技术流对决，欧洲杯冠军PK美洲杯冠军！大家喜欢看好看的足球，因此喜欢西班牙和阿根廷。

2、最后一场完成了大爆发，但快船可能还是不应该用双向合同留下他？

防线以欧洲联赛球员为核心，但后防速度不算顶级，面对快速反击存在回追不足的隐患。

3、世界女排联赛香港站：中国队1比3不敌多米尼加队

粗略测算，上述新增产能全部达产后，2026年下半年全球锂资源新增供给量，至少可达10万吨碳酸锂当量。格局大变，羽毛球的5个世界第一全部松动，3项可能面临改朝换代标哥做过几期揭露加盟商套路的视频，他最终得出的结论是：24年往后，量贩零食行业稳赚不赔的，不是零食生意，不是加盟商，只有品牌方。

4、太离谱了！文班亚马12个大帽！创造NBA季后赛历史

他速度快，冲击力强，跑动积极，能在前场给对手防线制造很大的压力，而且有一定的背身拿球能力，符合现代中锋的要求。

5、The Athletic记者：富勒姆正谈判引进皇马前锋加西亚，穆里尼奥叫停后重启

对于阿隆索来说，在8月正式比赛打响前迅速捏合好这支新球队，是一项不小的挑战。

6、Salomon萨洛蒙正式官宣“未来之队”以新生力量，启越野全新征程

塞内加尔主打4-3-3强攻阵，常规首发平均年龄也近29岁。

两黄变一红，恩博洛被直接罚下，掩面痛哭的他成为了瑞士队出局的“千古罪人”。

很多人或许有灵感、有情绪，却很难真正把脑海里的旋律变成一首完整作品。

7、网传百色遭遇严重洪灾系谣言 视频实为外地历史洪灾素材拼接

病毒式的关注让鲍尔斯几乎一夜之间成了网络红人，Instagram粉丝突破34万。

据英格兰天空体育新闻报道，米兰已联系了伊劳拉的团队及代表，以试探其接手球队的可能性。

8、全国团体冠军赛决出八强，淘汰赛抽签出炉

赛后他坦言：“这是一种解脱。

他曾无数次在关键时刻挺身而出，用不知疲倦的奔跑和精湛的射术，将塞内加尔足球推向洲际乃至世界的舞台。

这50天里，基层招商干部们经历了前所未有的“戒断反应”。

在多个TTS基准数据集上，MaskGCT均达到SOTA（当前最优）水平，某些指标甚至超越人类水平。