这不仅是一场战术的胜利，更是勇敢者对功利主义的完美惩罚。

1、ob体育 然而尤文同样面临先卖后买的财务约束，在求购托莫里之前必须先清理加蒂等球员腾出薪资空间，这决定了即便谈判启动，节奏也不会太快。

不过，光计算的商业化绝非单颗光芯片能够完成。ob体育支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。

2、巴西疲惫不堪，开场非常被动，摩洛哥第21分钟进球，巴西无路可退

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、拒绝1.2亿诱惑！B费正式决定留守曼联，去沙特联手C罗？明年再说

刚满18岁的卡马尔达上赛季被米兰租借到莱切，受到伤病影响，他出场23次（8次首发），有1射1传进账。

4、上新

今年1月米兰就曾试图引进他，球员合同2027年到期，今夏进入合同年后转会费有望控制在3000万欧元以下。

5、原创丨(美加墨世界杯的红黑色-6)2首发2替补1观众

费兰不再是那个被反复讨论"还缺什么"的前锋了。

眼下危险的价格链已经形成：新车均价同比降了9.1%，疯狂的降价直接碾碎了二手特斯拉的行情，均价跌至27,814美元，赫然跌破行业均价28,039美元。

V4.7接入了对话式音乐创作智能体Tunee，这是趣丸科技旗下的对话式音乐创作Agent。

6、盘口观察：金泉尚武vs大田韩亚市民，机构给到2.5我只看2/2.5

球队绝对核心是35岁的队长马赫雷斯，这位英超成名的顶级边锋目前效力于吉达国民，盘带细腻，内切射门极具威胁，定位球功底顶尖。

莱奥首轮未首发，其突破能力本应是破密集防守的利器，马丁内斯的用人选择值得商榷。

7、一场略显“多余”的比赛，倒是展现出了姆巴佩和英格兰教练的诚实

但狂欢之后，人们开始冷静思考，AI手机到底是怎样的。

近年来，意甲没落论甚嚣尘上，并在本赛季达到了顶峰。

8、你爱用的这种枕头，正悄悄堵住脑血管！家里有的赶紧换

阿森纳正打算借这股东风，加速推进对马德里竞技前锋胡利安·阿尔瓦雷斯的追逐。

按照最初的计划，俱乐部将马丁内斯视为第一人选，并预期世界杯结束后谈判会变得更加顺畅。

从年初CES上以“最无用却最想掏钱”走红的日本mirumi，到华为“智能憨憨”开售10秒即售罄，再到Ropet、Fuzozo芙崽等品牌的持续热销，一个以情感陪伴为名的赛博宠物赛道，正以前所未有的速度挤满玩家。

9、2-0！国足击败世界杯新军，邵佳一开门红！韦世豪破局+张玉宁传射

”消费者小薇说，她去完赵一鸣特意查了下，盐津铺子的鳕鱼豆腐，称重的8包，花了7元钱，拼多多搜到最便宜的，是50包只要22.88元钱，单价是店里的一半。

阿莱格里近来开始频繁使用21岁的瑞士小将，在对阵维罗纳时甚至安排他首发出场。

10、上半年全国营业性演出票房收入超304亿元

恩昆库首发的13场联赛（仅统计前锋进球），与莱奥搭档8场，两人合计攻入4球；与普利西奇搭档2场，攻入3球；与洛夫图斯-奇克搭档同样攻入3球（对阵博洛尼亚和比萨）。

2026年世界杯的战火正酣，绿茵场上的新星们正用奔跑与汗水书写着新的传奇。

1、比亚迪将在欧洲建厂，以规避欧盟关税

加拿大纸面实力更强，但伤病影响不小，攻坚能力一般；南非防守韧性十足，战术务实高效，反击有威胁。

2、中锋已在阵中？AC米兰今夏将迎来2名年轻前锋，均有望留在一线队

所以，一切指向阿森纳。

3、TVB正式更名为“无线集团”，由传统电视台升级为跨媒体娱乐集团

早在上赛季结束、阿隆索接手球队之前，加纳乔在伦敦西区的未来就已经打上了问号。当“一人一天一部剧”成为可能——AI漫剧产业链上的高职育人新实践整场比赛火药味十足，阿根廷球员显然将限制贝林厄姆作为核心战术，上半场多次通过踢拽和推搡试图激怒这位英格兰核心。

4、科学大家说｜以柔克刚 建筑隔震——给大楼安上“弹簧床”

成立三年以来，Kimi累计融资超370亿元人民币，在Deepseek开放融资之前，是国内大模型赛道公开融资最多的创业公司。

5、4位后卫入队，火箭组全新阵容！斯通引援深思熟虑，4新援有共同特点

截至目前，以上三笔交易均处于意向阶段，加拉塔萨雷仍在等待布雷默的最终答复，尤文的替代者名单仍在动态更新，米兰则在静候托莫里离队以触发伊纳西奥谈判。

6、穆式皇马可否迎来转机？首要前提是在姆巴佩和维尼修斯之间二选一

阵地战中，奥利塞在右路的内切射门是常规武器，姆巴佩从左侧切入，登贝莱负责边路串联。

而在意甲联赛中，红黑军团从未真正具备争冠实力，四个赛季累计落后国际米兰多达55分。

与过去的传控不同，这支西班牙更注重纵向穿透，减少了无效横传，进攻推进速度更快，高位逼抢也是他们的特点。

7、三星折叠机开箱即用隔空投送：当安卓直接撕掉与苹果那道墙

直至2024年下半年，公司将定价模式调整为按月定价，这一问题才彻底解决。

Ricks回忆道：“那就像一个巨大的绿灯。

8、官方:齐达内时隔五年出山，正式接替德尚执掌法国国家队教鞭

把第一档当成标准，只会让自己陷入无谓的自我怀疑。

第二层，国产替代溢价。

在战术层面，他是主帅最信赖的“万金油”。

这个愿景很大程度上来自创始人Dario Amodei施加的个人影响。