站在米兰的角度，努涅斯确实是个不错的目标。

1、乐鱼官方 整体来看，C罗的投资风格呈现出“不控股、快周转”的特点，用他自己的话说，就是不依靠单场进球，而是持续布局下一个得分点。

2021年冬天，费兰从曼城转会巴萨，签下一份到2027年的合同。乐鱼官方前十五分钟，西班牙控球率达到68%，如实反映着比赛走势。

2、便秘时可能中风？中风为何总在激动、用力时到来？

退而求其次的结果是荷兰2-1艰难取胜。

3、“宗门老祖”火线回归救场，马刺年轻人天性释放

失去了中场的梳理与拦截，法国队的攻防转换完全脱节，豪华的锋线群陷入了孤立无援的境地。

4、詹姆斯加盟无望？美媒列勇士4大备选：德罗赞第2，8000万抢马瑟林

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。

5、新疆输球季后赛渺茫！媒体赛后透露：刘炜下课原因，内部团体矛盾

HAMR技术希捷已经研发了二十几年，我们是通过技术突破来消化成本的，产品硬件物理规格没有变化，但容量增长了很多。

目前为止，单周的调用量超过5T。

此刻，“吃乐事，看赛有乐事”不再只是一句传播口号，而是真正成为消费者可感知、可参与、可分享的品牌体验。

6、《秦岭科创访谈录》第七期丨西安数合科技创始人杨涛_网易订阅

北京时间7月15日凌晨，2026美加墨世界杯将迎来首场半决赛较量，法国队在达拉斯体育场对阵西班牙。

然而主帅图赫尔在领先后过早转入防守，主动让出中场控制权，导致球队持续承压。

7、快船猛龙交易叫停！需等小卡阴阳合同案出结果 多伦多仍渴望迎回他

在2021年的一份内部文件中，Anthropic的联合创始人就已经写过，为什么公司要聚焦在Coding上。

从Ricks接任时的800亿美元到万亿市值，八年时间增长了超过十倍。

8、支撑17地区世界杯直播，腾讯云是如何办到的？

混沌天成期货指出，贵金属经历一定的脱敏行情后，再次受到高油价、美债利率和美元指数的抑制出现大幅回落。

因此，这位1983年出生的创始人，无视了移动互联网的红利，很早就将AI看作推进科学和知识生产的基础设施。

02 播客为什么特别盛产这些词 这首先和中文播客的核心听众有关。

9、男篮热身赛名单出炉！廖三宁高诗岩在列，3大锋线离队，胡金秋压力不小

对阿斯拉尼而言，诺坎普始终是梦想之地。

但工具能力可以横向扩展，不只是剧，也可以做营销视频、广告视频，背后是相通的技术底座。

10、从“别和中信比有钱”到保密升级，国安改变公关，有些话真不能说

他的下一站，大概率将是英超。

他本人表示：“最激励我的，我觉得对每个球员来说都是如此，就是胜利和不断成长。

1、马刺94-82轻取爵士，贾科比-吉莱斯皮25分，李贤重22+5

如果说Coding赛道是“存量博弈”，那么视觉生成赛道就是“增量爆发”。

2、5胜7负！库里圣诞大战表现如何？三分命中率不足三成！

拉齐奥则在最近加入了竞争，准备提出一份200万欧元租借费加1800万欧元买断选项的报价，总价值2000万。

3、AI行业告别“最强模型”崇拜

其中丘库埃泽的定位最值得关注，他上赛季外租富勒姆贡献3射4传，回到米兰后本来被认为是清洗对象，但阿莫林明确提到需要能一对一爆破的球员，丘库埃泽的爆点属性不仅能在边路提供变化，甚至可以试着客串右翼卫，给目前只有萨勒马克尔斯和阿泰卡梅的右路位置多一个选项。「爬坡」正在重塑健身房生意还有一件事已经可以确定：对手球迷开始慌了。

4、盘点7个“装修踩坑案例”，都是过来人踩过的“坑”，全是血泪史！

作为两支底蕴深厚的传统劲旅，本场比赛直接决定小组出线归属，西班牙手握平局即可晋级，乌拉圭则已被逼到背水一战的境地。

5、山东泰山外援洗牌迫在眉睫，单纯更换马德鲁加并非最终解决方案

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。

6、今晚（7月24日）三开！2026“湘超”揭幕战长沙队VS永州队门票再开抢！前两次没抢到票的球迷，千万别再错过

从“澡盆之约”到世界杯决赛，这不仅是拉玛西亚青训营的传承，更是足球世界最极致的浪漫与宿命，梅西和亚马尔都是从巴萨19号到10号，并逐步成为红蓝军团的真核。

报道同时指出，由于阿尔瓦雷斯的交易难度极大，阿森纳此前曾考虑过其他替代人选，比如巴黎圣日耳曼的巴尔科拉 然而，巴黎方面不愿放走这名年轻边锋，枪手于是重新将目光牢牢锁定在这位马竞球员身上。

天然GLP-1在血液中的半衰期不到2分钟，要开发成药物，首先要解决延长半衰期的难题。

7、原来，宫鲁鸣踹了丁彦雨航一脚

据当地官方估计，约有200万球迷涌上街头，与球队一同庆祝这历史性时刻。

" 对中国企业家来说，美国市场的吸引力远不止世界杯本身。

8、Exynos芯片闯大祸！三星Galaxy S22 Ultra夜间充电过热：家差点被烧

反复发作的脚踝问题引发了是否手术的讨论，但球员和俱乐部最终选择了保守治疗，力求避免手术。

从23万元到1.5万亿市值，从农村修配厂到全球光模块霸主，王伟修和刘圣共同书写了一个关于眼光、胆识和信任的故事。

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

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。