梅西选择在这个节点站出来，表面是在“怼”裁判，实则是主动承担起与裁判沟通的重任，用一次克制的抗议，将潜在的冲突化解于无形。

1、天博官方 温故而知新，翻开两队的世界杯交锋史，每一次碰撞都伴随着争议、热血与传奇。

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。天博官方在事故责任彻底查清之前主机厂和电池厂的互相推诿，恐怕还会继续下去，连同双方的“默契”。

2、一针一线 把热爱“绣”成专属记忆！

除了对阵伯明翰，巴萨在英格兰的赛程还包括8月3日与普雷斯顿的一场闭门热身赛。

3、伯里斯27+4+5上篮准绝杀 雄鹿2分险胜76人

这笔交易的完整逻辑是一条连续的传导链： 伯里与其说是预测未来，不如说是在寻找一个终将被现金流验证的结算过程。

4、苦守70分钟仍落败！郑铮早早染红离场，国安狂轰38脚客场复仇成功

亚马尔凭借极高的脚下频率、灵活的转身以及积极的贴防，不仅在进攻端通过盘带撕扯防线，在防守端也能有效限制姆巴佩的边路起速。

5、马刺放弃一位年轻球员，只为留下这位场均26+的G联赛得分手

特斯拉还同步研发「数字Optimus」——一个能自主操控电脑的数字智能体，与 SpaceX 联合开发，Grok 作为顶层调度。

赛季至今，莫德里奇各赛事出场36次，其中联赛33次，贡献2粒进球、3个助攻。

更致命的是体能问题，莫德里奇首轮不到60分钟便被换下，次轮面对弱旅也踢得磕磕绊绊。

6、OPPO「母亲节」交学费，另一笔账也得算算了

增长背后，利润为什么消失了？ 关于特斯拉Q2 的成绩单，一个最值得关心的现象是：在营收创纪录的情况下，特斯拉却出现了利润缩水、毛利率分化、费用暴涨、现金流转负等情况。

当然，抛开这些浪漫的巧合，这更是一场新老交替的终极试炼。

7、凌晨5点！CCTV5直播英格兰生死战，13亿对阵5亿哈兰德欲超越梅西

今年1月，卡马尔达因为肩部伤病决定手术治疗，直到4月底才复出。

其次，埃及的防守反击战术很有针对性，阿根廷攻坚效率不高的问题在上一场已经暴露出来了。

8、世界杯16强产生，欧洲美洲分庭抗礼，1/8决赛完整对阵及赛程出炉

"无论在训练还是比赛中，我始终努力改进，保持脚踏实地。

3D打印市场的增长也在为这场产能押注提供现实依据。

综合来看，法国作为争冠热门，半决赛失利对士气有一定打击，且萨利巴受伤、部分主力存在疲劳，战意相对平淡，不过姆巴佩有可能会争取赛事金靴。

9、官宣！亚运会对决出炉：中国队二号种子队，迎战伊朗等三大劲敌

逻辑不难理解：大模型应用的变现路径尚不清晰，给AI"卖铲子"，看起来是更确定的生意。

从7月6日在米兰内洛基地亮相算起，阿莫林执掌红黑军团已有两周时间，外界对他的执教风格也开始有所了解。

10、下午足球国家德比！晚上篮球齐鲁德比！山东球迷真幸福

上下文的共享是实现对齐的重要方式。

视频公司和技术厂商纷纷嗅到机会。

1、张镇麟4年顶薪续约，李弘权2年大C，上海队预留顶薪报价胡金秋

年轻中卫彭啸在对抗与预判上严重不足，上半场的两个丢球均与其失位、漏人直接相关，下半场更是被外援单点生吃，最终在第59分钟被老将郑铮换下止损。

2、隐于幕后，“质地”有声，NOWNESS GALLERY新品呈现

沈亦晨将光计算的发展划分为三个阶段：2015年以前是理论探索期；2015年到2025年是产品突破期；未来10年将是市场渗透期。

3、昂际智航低空航电飞控开放生态联盟启新程

那个在世界杯上几乎每脚触球都能转化为进球的球员，本场预期进球只有可怜的0.09。为什么奢侈品牌愿意花几个月，搭一个仅存几十分钟的秀场？所有热度都是一次性情绪消费，没有玩法支撑长线留存，玩家的热情会随着套路化内容的反复冲刷慢慢消磨，一旦内容翻车、审美疲劳，就会果断退坑。

4、惨重伤亡！150名军医紧急开赴德国！美军基地彻底沦为打击靶子

纽卡斯尔留住了埃迪·豪，这不太好，而且他们同样在被豪门逐个挖走。

5、姚顺雨，完成腾讯混元组织大一统

你相信梅西会拿下2026年金球奖，九座金球加冕吗？北京时间7月16日凌晨3时，美加墨世界杯半决赛上演了一场载入史册的英阿大战。

6、股价暴涨170%背后，群核科技AI变现能力待考

第一种，每玩一次，有90%概率赚1块钱，但有10%概率亏20块钱。

今天，当人们惊叹于礼来万亿美元市值的时候，很少有人记得这家公司也曾因傲慢错失风口，也曾因路径依赖困顿多年。

属于他的传奇只是按下了暂停键，那些未能跨越的遗憾，或许正是他下一篇章最深刻的伏笔。

7、巴特勒自信痊愈回归！美记透露勇士可推迟交易 追浓眉因2.75亿受阻

醉翁之意不在酒：请愿网站暗藏的“GOAT”修罗场 如果说“逐出阿根廷”是表象，那么该网站在请愿页面下方附带的“谁是GOAT”投票，则彻底暴露了这场风波的深层动机。

这一洞察并非空想。

8、记者：关于伦纳德阴阳合同的调查范围已经扩大

AI视频生成从来不是一锤子买卖，TA是一个反复修改、持续迭代的创作过程。

巴萨内部有信心，如果马竞在其他转出项目上始终无法完成足够回款，最终或许别无选择，只能重新考虑巴萨对阿尔瓦雷斯的报价。

这也为国产厂商在前沿领域争取领先地位提供了可能。

姆巴佩在接受法国M6电视台采访时表示，这场失利对法国队来说是"巨大的失望"。