米兰与尤文的比赛进行到第74分钟，莫德里奇在中场与洛卡特利争抢五五开的球权时，两人头部发生剧烈碰撞。

1、乐鱼电子 两队本场可以说是典型的互捅局。

如今阿囧已不在位，蓝军重新将目光投向迈尼昂。乐鱼电子后来我们发现，卧底用手机对着电脑屏幕拍照，拿走了几千页的核心资料。

2、耐克一刀砍向经销商 但真能找回想要的品牌价值吗？

第三，它掌握着决定服务质量的关键环节。

3、百倍暴利黑幕！成本5.5元售价788元，上万名宝妈被百万网红坑惨

在这4场硬仗中，姆巴佩虽有进球，却难阻球队败局。

4、纳达尔教练：如果拉法不打了 费德勒也早就退役了

这不仅是一场争夺决赛门票的较量，更是一部用汗水、泪水与不屈写就的足球史诗。

5、极狐问道V9正式上市 搭载华为雪鸮智能静音增程系统

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。

简单来说，DNA合成服务就是“按需定制基因片段”的工厂。

旧模式失灵，女玩家早已不再好“糊弄” 层层矛盾叠加之下，国产主流乙游可以说进入了“生命倒计时”。

6、21亿元押注世界模型，国家队、金融资本、产业资本同时出手

不过也有球迷认为，米兰正在走上一条黑店之路，通过技术总监的买人眼光低价淘进年轻球员，再让阿莫林这种重用年轻球员的教练进行培养调教，打出身价后转手套现。

它也曾被专利悬崖逼到绝境，百忧解、再普乐、欣百达专利接连到期，营收断崖式下跌。

7、赛季最强战！韩旭首次首发14+6创多项新高 自由人射日豪取5连胜

该发生的总会发生。

两种截然不同的战术风格正面碰撞，是西班牙传控体系稳扎稳打，还是乌拉圭铁血防守完成逆袭，成为小组赛末段的核心看点。

8、防蓝光眼镜、护眼灯、叶黄素护眼？真不如把手机、电脑的字调大！

如果一切按计划推进，比西武有望在7月31日巴萨对阵伯明翰的季前首场热身赛中完成非正式首秀，比赛将在圣安德鲁斯球场进行。

金钱从来不是他考虑的第一要素。

更关键的是西班牙阵容深度充足，轮换储备丰厚，次轮大胜后早早换下主力休整，体能储备和战术调整空间都远胜乌拉圭。

9、“Feel Free To Be Sustainable”2026凯德发展可持续“自在小事节”落地广州

储能已经不再是动力电池的“附属品”。

这不是一个简单的货架扩品，尤其还发生在软银入主和波兰便利店巨头收购两大事件之后，更像是7-Eleven在宏观战略之外，在业务“微操”层面借助新鲜零食发起的一场精细化突围。

10、云南安宁：盐田港—昆明内陆港揭牌启用

这位球员在小组赛阶段打入三球，成了摩洛哥阵中的进攻支点。

弗利克还要求俱乐部在甘伯杯前再安排一场热身赛，这些都将为比西武提供亮相的舞台。

1、台州大叔跳江捞上来的2岁女娃，今年考上北京大学了！

经过120分钟的鏖战，三狮军团凭借贝林厄姆的梅开二度，以2-1逆转击败“维京海盗”挪威，顺利挺进本届世界杯四强。

2、索尼佳能发布会定档5月13？尼康注册新机｜势力新鲜报

与上半区的“双雄争霸”不同，下半区的局势则显得扑朔迷离。

3、颜丙涛6-3力克希金斯将战丁俊晖 中国锁定决赛席位

首先是莱奥最近有所松口，存在留队的可能，其次阵中还有丘库埃泽、普利西奇、恩坤库等球员都可以充当边锋，能力也不比阿拉伊贝戈维奇差多少。【CBA联赛】第三十九轮｜四人得分上双，浙江稠州金租82-66胜长白山恩都里！那么对于米兰来说，照搬利物浦模式行得通吗？ 意甲的环境和英超有很大不同，无论是商业收入规模、联赛竞争力还是球迷文化，都存在显著差异。

4、切尔西1.17亿镑夺罗杰斯创纪录，他真是蓝军新帅的那块拼图？

但中际旭创真正要面对的，是技术迭代、客户博弈和行业竞争的下一轮考验。

5、崇礼越野赛道，马拉松女子精英们有的夺冠有的纯玩赛

其次是即战力，镰田大地已经在德甲和英超证明过自己，并且有1年的意甲比赛经验，不需要太长的磨合时间。

6、林俊旸离职140天，Qwen3.8重回开源，阿里大模型还能打吗？

而Vaibhav Taneja 补充称，下半年还会进一步增加，未来两至三年持续增长，自由现金流预计持续为负直到2029 年。

据弗若斯特沙利文预测，中国AI芯片市场规模将由2024年的1425亿元增至2029年的1.3万亿元，2025年至2029年的复合增速高达54%。

谷歌云收入同比增长82%至247.68亿美元，运营利润暴涨212%，向市场证明了AI投入已经开始产生真金白银的回报。

7、王虹获奖后感言：很幸运能够在合适的时间遇见合适的人，得到正确的引导

目前英超球队已经触发了其1550万欧元的选择买断条款。

辞退阿莱格里后，米兰把工作的重心放在选帅上，此前他们的头号目标是伯恩茅斯主教练伊劳拉，但这位西班牙少帅倾向于加盟水晶宫，因此红黑军团需要重新寻找新的目标，伊布列出一份7人名单，几乎没有重量级的主帅。

8、哈克斯谈被交易直言毁灭性打击

法国队输在了中场被锁、战术被克、防线失误以及锋线哑火，更输在了失去了格列兹曼、博格巴、坎特这些能在关键时刻稳住阵脚的“阵眼”。

即使复苏来得慢，优先股仍会为等待时间提供补偿；一旦高盛走出危机，权证能把上涨转化为更大收益。

仅凭创始团队和单一股东资金无法长期支撑这种级别的持续扩张，走向资本市场几乎是必然选择。

流量计控制着设备内的气体流量，过去全靠进口。