他与搭档拉波尔特组成的中卫组合，在本届赛事中于对方半场完成抢断的次数高居所有中卫之首。

1、博亚平台 赛后，他没有抱怨，没有遗憾，只有对这片土地深沉的爱。

尽管包括参加世界杯的国脚在内的部分球员仍处于休假状态，但当日的分组对抗赛已初步勾勒出阿莫林治下三中卫体系的运行框架，恩昆库和丘库埃泽均尝试了新位置。博亚平台在对手顽强抵抗、比赛悬念保持到最后一刻的情况下，控球率高达68%，射门17-5，射正5-2，他们能够顶住压力，用控球优势，用绝杀的方式拿下比赛，这正是一支冠军球队应有的气质。

2、官宣！韩德君回归

钛媒体：当前存储市场需求火爆，供不应求，希捷现阶段的工作重点是什么？ 俞康：因为很多客户的存储需求都在快速增长，所以我们一直在想办法提升容量、增加产能，更好满足客户需求。

3、确认不打了！广东暴力双能卫被曝离队，朱芳雨惨遭重大打击！

按照罗马诺的说法，国米和热刺今夏在商讨斯彭斯的转会时，就已经顺带提到了引进罗梅罗的可能性。

4、超3000万听障者的隐形困境：为何有人宁愿听不清，也不愿戴助听器？

这彻底打乱了弗利克新赛季的战术部署。

5、穿上梅西球衣！白岩松笑了：上半场拳击下半场足球 阿根廷都赢了

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。

在多个TTS基准数据集上，MaskGCT均达到SOTA（当前最优）水平，某些指标甚至超越人类水平。

" 利物浦去年夏天花费超过4亿英镑，先后两次打破英国转会纪录签下维尔茨和伊萨克。

6、《海上生民乐》第七轮驻演启幕：十年磨一剑，162场再创国乐传奇

在官宣签下科特迪瓦边锋巴祖马纳·图雷之后，这家英格兰球会把目光投向了瑞士新星约翰·曼赞比 效力弗赖堡的这位中场，凭借小组赛阶段三球两助攻的出色发挥，敲响了通往英超的大门。

若意大利足协最终选择瓜迪奥拉，将面临显著的薪资压力——其预期年薪将远高于两位本土候选人。

7、瞄准AI+制造业，广东要打造人工智能“第一大省”？

杨元庆、李彦宏、陈立武、方洪波几个人站西班牙队，程维、李东生力挺阿根廷。

这位瑞典人因膝伤接受手术，已经远离赛场长达14个月。

8、【侠客岛】方星海被查

我们不想再跟他们做生意了，立刻。

全球化的2.0版本，比拼的是谁的规则更可信、谁的产业链更可控、谁的本土化更深入。

“我们从精英轮资格赛一路走来，长期的集训让我们超越了普通队友的关系，成为了一个真正的家庭。

9、曼联夏训倒计时，卡里克发表争冠宣言！更上一层楼为所有奖杯而战

我们已经准备好了，周六必将倾尽所有。

今年5月正式接手切尔西的阿隆索，在这场媒体见面会上表达了自己对新蓝军计划的期待，同时澄清了俱乐部在恩佐未来一事上的立场。

10、朱玲玲港姐聚会艳压全场！媳妇郭晶晶和她神似，两嫁豪门底牌是…

扎卡是当之无愧的瑞士核心。

但全固态电池的实际情况远比车企展台上的数据复杂。

1、台风“红霞”生成！或于明晚登陆我国

等那个他心心念念的机会。

2、中科创星米磊：知识创新，正迎来最好的时代

” 谈及即将到来的半决赛，孔德将话题转向了双方技战术层面的较量。

3、朱芳雨下课，广东队却收两个重大好消息，新赛季彻底起飞

不过需要注意的是，截至当前，月之暗面尚未就最新上市时间表作出公开回应，也未公开披露递表、境外上市备案等具体进展。胡塞武装封堵红海：两艘沙特油轮被导弹攻击，全球油价持续飙升此次更新只升不降，既奖励了球员们在世界杯上的发挥，也反映了今夏转会市场的最新动态。

4、大连英博海发7比6淘汰河南 昂首晋级足协杯八强

加拉塔萨雷的策略则有所不同，他们更倾向于采用先租后买的方案。

5、冲上热搜，这种饮料不能直接对嘴喝？网友热议

短短几分钟内，他不仅盘活了全队的进攻，更用无畏的勇气击碎了对手的怯懦。

6、IPO后首次大考！SpaceX拟明日凌晨再试飞星舰，此前因发动机故障遗憾推迟

北京时间7月10日，这位塞内加尔的传奇前锋正式宣布从国家队退役。

眼下最后一道坎已经跨过。

内部评估认为，罗杰斯是球队进攻体系的理想拼图。

7、为什么“第四代住宅”突然卖不动了？过来人说出实话，太扎心了

这些比赛对阿莫林的球队来说都是很好的挑战，尤其是在无法拥有齐整主力的情况下，迈尼昂和拉比奥由于世界杯征程，很可能会缺席全部季前赛。

两队在世界杯正赛舞台上属于首次碰面，历史上仅有过友谊赛层面的交锋，比利时在过往4次交手中取得2胜1平1负的微弱优势，且仅丢1球，防守端面对塞内加尔颇有心得。

8、CBA新赛季或超7名外教担任主帅 却无俱乐部再邀请马布里

当时瑟洛特与哈兰德形成了绝佳的二打一机会，但瑟洛特在犹豫中选择了自己强行射门，最终被英格兰后卫封堵。

巴萨对这位中卫的欣赏，最终是否会转化为正式接触乃至报价，还有待观察。

2025年，公司征程系列硬件的总出货量为401万套，同比增长38.8%。

因此，首先，建设新的能力尖峰是大厂和模型创业公司都在借鉴的一层。