它对模型能力、安全和复杂任务的持续投入，不是要「做一个更好的聊天机器人」，而是要做能在很多事情做得比人更好的助手产品。

1、天博集团app 在克勒舍拒绝之后，俱乐部已经将目光转向了31岁的德国经理人德文·厄泽克。

亿纬锂能龙泉四号60Ah全固态电芯已下线。天博集团app这给了皇家奥维耶多机会。

2、齐达内终于等来执教机会，姆巴佩的金球奖之梦再度顺延

但他在利雅得新月的处境，并不理想。

3、大模型几个月能力翻番，标准更新却按年算！业界：AI迭代太快，治理没跟上

原因无他，那份刚出炉的二季报里，写着高达11亿美元的负自由现金流，以及一个让所有人大跌眼镜的资本开支（Capex）计划。

4、特朗普：正考虑重启对伊朗的大规模作战，美国依靠自身实力有能力单独发动这一大规模空袭

球队缺少单兵爆破能力的爆点，面对控球型对手时只能被动退守，进攻手段相对单一。

5、前大连人队功勋转会离队！重返老东家哥德堡，球迷：他比马莱莱强

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。

本届世界杯淘汰赛阶段，阿森纳中场梅里诺曾两度替补登场完成绝杀，先后在对阵葡萄牙和比利时的比赛中扮演关键先生。

” 下定决心入手之前，林夏还认真和豆包探讨了一番Ropet究竟是否适合自己，豆包给林夏分析称“AI宠物最适合她这样的独居牛马”。

6、延庆区举办党委信息工作专题培训

2024年，25岁的姆巴佩通过拍卖，以1500万欧元拿下法乙球队卡昂80%的股份，一举成为欧洲足坛最年轻的俱乐部老板；2025年，他又摇身一变成了国际帆船大奖赛法国队的小股东。

这也是这座「小」乐园独特的呼吸感，它镶嵌于城市中心，不仅仅是IP构建的世外桃源，而与城市居民的日常生活紧密相连，并逐渐积累更多公共回忆，成为城市文化的重要组成。

7、野外祭祀“引火上身”，森林防火记心上！

而客户可能只租用几周甚至几天。

一项判断即使正确，如果投资工具先于事实到期，账户仍然会亏损。

8、女人若不想皮肤衰老，多吃这3种水果，赶走皱纹，去除斑点不是事

按42.80元/股的转让价计算，成交价基本与IPO发行价持平，上市四年，公司累计扣非净利润不足5000万元，实控人一笔交易就能套现超10亿元。

夏窗回归之后，可以确定的是他肯定不会被出售，这一点已经被伊布多次重申。

瑞典队的表现则如同过山车。

9、维尼修斯容貌大变引发热议！休赛期秘密接受面部轮廓医美，球迷惊呼宛若换脸

对于那不勒斯来说，阿莱格里的薪资不是问题，他的薪酬低于孔蒂目前的水平。

某航天国企旗下的基金在54号文落地后，立刻开始重新筛选储备项目，原有的60多个候选项目被直接砍掉了一半。

10、最高气温35℃以上，长沙发布高温黄色预警！

足球从来不是简单的剧本，但它确实偏爱那些充满戏剧性的巧合。

罗马诺正式确认，25岁的匈牙利中场核心多米尼克·索博斯洛伊将与利物浦续约至2031年6月30日。

1、古蜀卜甲与中原礼制有何关联？金沙遗址发现25周年，中外学者齐聚解码“卜甲与商周文明”

它不能只做模型仓库，还要解决可打印性、版权、创作者激励和内容质量。

2、中冠：大雨捣乱！广州德比终场前10分钟，被按下暂停键

作为供应商，电芯流向了哪些客户、哪些车型，内部不可能没有完整记录。

3、警惕！李斯特菌，冰箱里的隐形杀手，-20°C也能存活1年

防守端没有体系，进攻端没有章法，练了一周的针对性部署完全未在场上体现。上海德比第二回合将打响，不争冠军，也要奉献精彩对决在 Guillaume Motte 看来，中国市场的战略权重体现在三个维度：规模上，作为仅次于美国的全球第二大美妆市场，它构成了丝芙兰坚实的增长基石；创新上，中国本土涌现的新锐品牌与产品迭代，不仅精准回应了本地消费需求，更为全球选品体系注入了多元灵感与文化视角；技术上，中国在数字生态构建与 AI 应用上的领先实践，为丝芙兰的全球运营提供了具有价值的参考范式。

4、一天化解1万公斤“椒虑”——湘乡社会各界接力助农暖人心

2025年5月，他们花65亿美元买下苹果前传奇设计师Jony Ive仅有55人的AI设备公司，算下来，人均身家超过1亿美元。

5、腊八节

这意味着，它不但可以担负起突破中国芯片设备被卡脖子的使命，而且还能一举打破过去多年被外资同行紧紧握住的市场，让自己的设备源源不断地走进客户产线。

6、继入选葡萄牙媒体最失望大名单后，C罗入选日本媒体的最失望阵容！

不过，这并不意味着扩产已经停止。

从2024年到2026年，连续三年的三项顶级国际赛事（欧洲杯、欧国联、世界杯），西班牙都在半决赛中精准地“狙击”了法国。

里奇德转身价2200万欧元，与亚沙里都是去年夏天刚刚加盟的新援。

7、半两财经｜机票超售规则“模糊”提示，同程携程飞猪等被约谈

门将马丁内斯已做出五次扑救。

正如一位在行业坚守了20年的老创投人所言：“狂欢结束了，游戏规则改了。

8、“同房”时间越长越“厉害”？医生：超过这个时长，反而可能是病

这些锂矿大约会在20-45天之后到达国内锂企的仓库。

效力于英超热刺的克里斯蒂安·罗梅罗以及曼联中卫利桑德罗·马丁内斯也参与了展示。

小组赛阶段，斯卡洛尼的球队展现出稳定的统治力：首轮3比0轻取阿尔及利亚，次轮2比0完胜奥地利，末轮3比1击败约旦，三战全胜积9分以J组头名出线，打进8球仅丢1球，攻防两端表现均衡。

竞技层面，两队晋级之路各有千秋。