“对球迷，对我的球员，对这个国家，我想说，我们倾尽了全力。

1、半岛体彩 这绝非简单的“堆芯片”，而是一场算力组织方式的质变。

绿茵场上的故事似乎正在走向尾声，但很少有人留意到，梅西的另一重身份正在被重新定义。半岛体彩值得一提的是，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。

2、C罗再封神！关键时刻站上点球点并命中，赛后一举动还让球迷动容

一元水把人吸引进店，等拎着一大袋零食出来，账单已经两三百。

3、星光L仅10.98万起售！五菱双车组合，制霸10-15万六座SUV

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。

4、株洲籍专家陶明亮荣获国家科学技术进步奖二等奖_网易订阅

Jobright.ai 是垂直 AI 应用的一个代表案例。

5、米体丨米兰告别OffWhite+携手Boggi

25/26赛季结束后，AC米兰开始经历大动荡。

唯一一次世界杯碰面是在1994年美国世界杯，当时哥伦比亚2-0击败瑞士，但有趣的是那场比赛赢球的哥伦比亚最终小组垫底出局，输球的瑞士反而晋级淘汰赛。

荣誉与默契的边界 这是一场完美的“双赢”。

6、“十五五”开局之年！2026全国两会看点前瞻

没有谁绝对更好，只有"哪个更适合现在的你"。

澳矿、非洲小规模锂矿、国内锂云母，几乎所有边际产能都在那个夏天暂停了生产。

7、4架飞机两年不还租金，印度公司不以为耻，还说了一句话让人开眼

但巴西3R所承载的历史底蕴、个人荣誉厚度以及那座大力神杯的终极证明，依然是法国三叉戟目前难以企及的高度。

但这件事，真的只是"别人家的孩子真牛"吗？ 我看未必。

8、“牛皮癣”还会伤关节！专家提醒：这病最怕拖成残疾，出现症状一定要当心

日本队则存在固有短板，世界杯淘汰赛从未取得胜利，存在淘汰赛魔咒，且球员身体对抗偏弱，面对巴西高强度身体拼抢容易落入下风，锋线终结稳定性也不足。

第二：法国渴望复仇，四叉戟状态上佳，无惧西班牙！此役对于法国队而言就是复仇之战，因此在欧洲杯和欧国联两次半决赛法国队均被西班牙队淘汰。

"痛苦是巨大的，这道伤口很难愈合，"梅西在Instagram上写道，同时向西班牙队表示祝贺。

9、企业参访变“就业直通车”，近十名学子现场被相中

不过葡萄牙破密集防守的能力存疑，如果久攻不下也存在被反击偷一个的可能。

本质上是做空短期波动率。

10、真别嫌弃天天上桌的“豆橛子”，那可是夏天“三高好蔬菜”

锂矿巨头的底牌与软肋 天齐锂业最核心的资产，是位于西澳大利亚的格林布什锂辉石矿。

价格下跌同时证据恶化，通常意味着原有逻辑失效了；价格上涨同时证据增强，可能仍然保留不错的剩余赔率，但也要考虑剩余上涨空间能否补偿新的损失风险。

1、先进封装大时代！A股封测产能竞赛开打

主要目标有2个，都出生于2004年。

2、手慢无！孝感VS武汉第三轮放票来了

1986年墨西哥世界杯1/4决赛，无疑是这段恩怨史中最浓墨重彩的一笔。

3、农业农村部部署台风“红霞”防范应对工作

也许早几年的他，会把替补席看成一种审判、一种关于地位的声明。突发：雅虎财经Alphabet关键分析页面瘫痪，1.4万亿美元巨头研报竟成一片空白巴黎圣日耳曼的若昂·内维斯、克瓦拉茨赫利亚和维蒂尼亚三人身价同为1.4亿欧，分列第七至第九。

4、阿里纳斯指责热火队利用阿德巴约的“假伤”来摆烂，输球拿乐透签

”鲁尼说道。

5、四次申请加映！《给阿嬷的情书》又斩获一项冠军

三是从严监管维护市场“三公”。

6、湘潭市作协首个“雏凤计划”孵化基地落户九华和平小学

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。

意甲第36轮主场2-3输给亚特兰大，米兰不仅输掉了比赛，还输掉了三名主力出征热那亚的资格。

穆萨的优势在于多功能性，他可以胜任中场多个位置，甚至能客串边翼卫，这对加图索的球队来说是一个实用的补充。

7、铁心离队！纽卡队长公然逼宫，6000 万投奔阿森纳

阿隆索在执教切尔西期间，不排除会在不同阶段启用三中卫体系，这意味着蓝军对顶级中卫储备的需求比多数球队更为迫切。

在今年夏天的夜晚，每天还都有三场音乐live在这里进行，涵盖爵士、古典、流行、DJ等多种音乐类型。

8、上新

按2025年利润算，308.92倍，行业均值才76倍，可比公司均值134倍。

回首过往，齐达内的执教履历堪称辉煌。

光计算会成为AI芯片的未来吗？ 相比于光在连接方面的作用，直接用光替代电的光计算，属于更加前沿的技术探索，大规模商业化落地显然还有距离。

这笔转会若能成功，也将为巴萨在转会窗带来一笔重要的财务收入。