两队在1/16决赛都经历了120分钟苦战，体能消耗巨大。

1、KOK官方 在进攻端，泰山队同样显得毫无章法。

而那个本该让它提前二十年登顶的钥匙，早在1996年就被它亲手扔掉。KOK官方第三类是世界模型与行动模型融合路线。

2、日本天皇出局，60比24结果已定，高市内阁遭反噬，防长被要求下台

德温特则暂时安全，他被明确视为阿莫林计划的一部分。

3、官方：森保一续约半年至亚洲杯结束，U23主帅大岩刚将接任>>

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、杨瀚森生病累倒！世预赛夏联来回太奔波，姚明的悲剧还要重演？

但如果我要做一个手机，原料厂商不可能比手机厂商有优势。

5、火箭对阵湖人前瞻 詹姆斯与杜兰特较量 乌度卡会做哪些针对性布置

Anthropic叙事的边界 中国公司学习Anthropic并不应该是简单的模仿，而是根据自身需求将其内核锤炼出来，融入到自己的改造进程中。

北京时间7月16日凌晨3点，2026美加墨世界杯半决赛将在美国亚特兰大体育场打响，英格兰与阿根廷时隔24年再度在世界杯赛场相遇。

挪威的短板是边后卫前压后身后空当极大，且主力右后卫、中卫伤缺，不确定能否及时复出，替补防线转身慢、回追差，面对科特迪瓦的高速边路反击压力很大。

6、东体：申花放弃使用“亚冠专属外援”，将五外援出战亚冠二级联赛

当球队处于劣势时，克罗地亚会收缩防线，利用斯塔尼西奇和佩里希奇等边路球员的速度打反击。

7月24日，美国初请失业金人数骤降至18.7万，创1969年以来最低。

7、郑钦文入围雅典赛，夺冠直通美网，布洛克斯称紫薇正手被严重低估

新赛季的土超，注定不会平静。

事实上，乐园是泡泡玛特许多IP运营尝试最初的试验地。

8、风口上的一人公司：痛点、诱惑与现实

趋势提醒我们要清醒，错觉只会制造放弃。

其次是核心球员的“天才对决”。

如今阿囧已不在位，蓝军重新将目光投向迈尼昂。

9、嚯！35家大型央国企实测后，因果世界模型落地了

新赛季临近，巴萨迎来了一个好消息：费尔明·洛佩斯的恢复已进入最后阶段，即将迎来期待已久的复出。

比如，特斯拉Q2 整体毛利率为 16.8%，低于预期的 19.4%；其中，汽车毛利率为 16.9%，剔除碳排放积分后只有 16.3%，比一季度的 19.2% 下降近 3 个百分点。

10、英伟达与Amkor签署价值15亿美元的芯片封装协议

萨拉赫在利物浦的九年生涯堪称辉煌，442场比赛打入257球，随队斩获包括英超、欧冠在内的八座重要奖杯，还拿过4次英超金靴，1次英超年度最佳球员（2017-18赛季）。

法国组合用23球的数据证明了现代足球体系化进攻的高效与杀伤力，他们在高强度逼抢下依然能保持稳定输出的能力，或许在实战层面更胜一筹。

1、终场哨响！帕雷德斯瞬间暴怒：推倒加西亚+追打加维 队友都拉不住

有消息称，巴黎并不打算满足巴萨对这位前曼城球员的心理价位，他们认定，在合同年限所剩无多的情况下，巴萨没有多少筹码坚持高价。

2、不拼通用能力、聚焦端侧，腾讯副总裁林松涛：Marvis专注做好系统级操作

2021年国内装机量排名第三，市占率5.9%，2022年港股上市。

3、三大状元热门人选完成试训，一人模板韦德，布泽尔模板令人意外

2015年加盟林茨，在那里执教4年时间，率队从二级联赛一路走到2019年距全国冠军仅一步之遥。2.5亿净利！延长石油收获第4家上市公司？三夫户外最终意识到，代理品牌永远不是自己的品牌，因此收购了X-BIONIC中国商标及知识产权，希望把经营权变成所有权。

4、氪星晚报｜英特尔将在数据中心部门裁员；日产在美召回超16万辆阿曼达及英菲尼迪SUV；我国将建设3000个以上电动重卡充换电站

高空球和定位球是瑞典队的传统杀招，凭借身高优势，他们在角球、任意球进攻中威胁极大。

5、TA：爱德华兹和鲍尔都曾主动联系詹姆斯 游说他加盟森林狼

连续两次在关键岗位人选上碰壁，暴露了米兰目前在管理层建设上的深层次问题。

6、罗体：博尼将参加国米亚洲行，劳塔罗和图拉姆8月初归队

阿浩后来和其他赵一鸣加盟商交流，发现还有一条没有写进合同的潜规则：越早进来的人，越容易拿到资源。

仅仅6分钟后，法国队的“双星连线”再次发威。

在这场“技术流”与“身体流”的巅峰对话中，西班牙队凭借亚马尔制造的点球（奥亚萨瓦尔主罚命中）以及下半场波罗的单刀破门，以2-0完胜夺冠第一热门法国队。

7、打死4名印度人，俄罗斯还敢放狠话警告莫迪，再闯黑海照样打

目前管理层已经十分接近与其完成续约，新赛季，葡萄牙教练将对他的出场时间进行严格控制，预计在各项赛事中出战30场左右。

当对面有梅西时，你确实会担心，但我们一直相信自己，努力踢出自己的足球，我认为我们又一次做到了。

8、1964年，陈毅和秦基伟开玩笑：我是你的半个老丈人，我要撤你的职

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。

参与到这个过程中——我们想怎么踢、我们希望成为什么样的球队、无论去哪里比赛我们想要怎样应对——这是我的工作，也是我真正期待去做的事。

他发现，很多用户打完游戏后并不退出房间，反而开始唱歌、聊天、分享生活。

同样是三中卫，阿莱格里更侧重低位兜底和抓转换，阿莫林的思路则是边翼卫大幅前插、中场不停换位的3-2-5强攻阵。