26人大名单中有14人效力于德甲联赛，被球迷戏称为“德国二队”。

1、乐鱼电竞 但阿浩发现，三天过去，营业额只有5万元。

若土超球队给出符合米兰心理预期的书面报价，那么二人将在土耳其开启新的职业生涯。乐鱼电竞如果我快速回想一下这四十天，简直不可思议。

2、1980年，陈丕显说王兆国38岁就当二汽副厂长，邓小平：要好好培养

纽约新泽西大都会球场，第106分钟，费兰·托雷斯一脚定乾坤。

3、山西男篮大手笔签约！绝杀勇士悍将驰骋加盟，誉为高阶版弗雷戴特

米兰与阿莫林的谈判已经进入非常深入的阶段，双方距离达成协议只有一步之遥。

4、最强新秀入选！中国男篮公布12人名单，大战日本男篮

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。

5、NB！7300万！史上最诡异合同！刚签下NBA就要启动调查！

这就很反差，你可能很好奇，明明技术取得了突破，为何资本市场反手就是一巴掌？ 原因并不复杂，Coding赛道正在陷入残酷的“马太效应”内卷中。

对于一家企业，所有的疑问最终都指向商业经营。

一旦尾部风险发生，对冲收益不仅可以弥补主仓损失，还能为危机后的低价抄底提供现金。

6、里克尔梅：曾以为不会再有另一个马拉多纳，但梅西可能更胜一筹

也就是说，同一届毕业生，选了机器人的，工资是其他同学的5倍左右。

巴西整体实力、大赛底蕴、攻防稳定性更胜一筹，取胜概率更高；日本依托成熟的团队战术和顽强的球风，有逼平对手的可能性，但爆冷取胜难度极大；预测巴西2-1取胜，次选1-1平局。

7、西安“国企网约车”南下成都：能否破内卷？

这是一条有别于开源微调的自研路线，模型在设计之初就面向实时交互优化，为Agent的对话式创作体验提供了可能。

虽然与6月近74吨的净流出相比规模仍有限，但连续多日的净流入表明，部分长线资金正在利用回调逐步布局。

8、OPC创业者看过来，最高10万美元云资源等你拿

「雅创未来 Beauty X」自2024年落地以来，始终立足中国美妆市场趋势，以消费者需求为核心，建立涵盖科技创新度、需求匹配度及解决方案成熟度的三维评估体系，构建“需求洞察–技术筛选–联合研发–落地商用”的高效创新闭环，累计吸引超800家本土科创企业参与，甄选20家优胜企业并推进多维度深度合作。

从整个意甲的数据来看，克罗地亚人场均完成66.6次传球，排名联赛第2，其中52次关键传球排名联赛第10，长传成功率达到惊人的74.7%，防守端39次拦截排名第14。

这位24岁的德国国脚几天前已通过体检，交易将在未来几小时内正式官宣。

9、【CBA联赛】第十二轮｜全员皆兵，浙江稠州金租95-60大胜广州朗肽海本！

终结渠道碎片化，打造统一品牌生态 有媒体报道，耐克方面已与大型一级经销商进行了一对一沟通，包括滔搏、胜道、锐力等在内的大型经销商已知晓该意向。

中兴通讯将其定位为“AI终端新品类”，意图将其打造为继手机、智能穿戴之后新的AI入口。

10、冠军中锋难以终老辽篮！乌戈放弃优先续约权，他恐成下一个弗格

截至目前，红黑军团在25/26财年已经录得超1亿欧元资本收益，创下01/02赛季的最高卖人收益纪录。

彼时月之暗面刚完成5亿美元C轮融资、账上现金超100亿元。

1、精准研判 多警联动 太原警方4小时抓获取现“车手”

第一只闹钟是公司日历。

2、崩了！骑士被打崩了！落后时刻，米切尔竟然还在场下涂润唇膏呢

第二顺位候选为阿拉伊贝戈维奇，伊布对其推崇万分。

3、赫瓦林斯卡，一位普通球员和她的两场战争

森林学家玛丽女士知识渊博，是奇遇森林的守护者，她会在入口处为游客送上祝福；灰小子卡卡四处流浪，生活清贫，但是乐观开朗；驯鸟人神秘、迷人，但似乎「业务不精」；一对渔民兄弟为了未来在水手厨房外展开比拼；水果市集，小女工艾达试图躲着老板玩点不一样的。练好这3个「搞笑」动作，你真能跑得又快又轻松这是品牌继香港维港、上海陆家嘴滨江之后，再次将这一融合运动与商务社交的独特体验带到深圳。

4、从烤披萨到拿快递，满场跑的机器人终于要进你家了｜WAIC 2026全面探展

这是全球历史上第一次有药企摸到“万亿俱乐部”的门槛。

5、北京首钢篮球俱乐部国际青训计划即将启动！_网易订阅

韩国队主教练洪明甫的战术体系则以极致体能拖底，主打高位逼抢与快速转换，全场高强度奔跑是球队鲜明标签。

6、掌舵2万亿金融央企！60岁“金融老将”谭炯跨司履新，出任中国人保党委书记

“这行毛利就20个点。

"全球第一" 的含金量 那么，极佳视界的技术到底如何？ 它最常被提起的，是"全球第一"的称号： 世界模型GigaWorld-1在曾在世界模型评测WorldArena中获得62.34分，登上当时的榜首； 具身基础模型GigaBrain-0在RoboChallenge真机评测中拿过综合第一； 自动驾驶世界模型DriveDreamer发了ECCV顶会论文，被Paper Digest评为年度高影响力论文之一。

巴萨方面正期待球员迈出这一步，给出一个可以借此展开谈判的姿态。

7、正式确定！内线新星离开广东宏远，加入辽宁男篮

最后说句实在话 写这篇，不是要你羡慕那张过万的工资条，更不是劝你焦虑。

埃及这边则是通过点球大战淘汰了澳大利亚，创造了队史首次晋级世界杯16强的历史。

8、趣论：凭什么温网官方敢给出雷人概率：紫薇61%击败辛纳夺冠？

因为很容易在新泽西之夜后，把费兰的故事简单化：球员挣扎了，求助了，进了世界杯决赛制胜球，一切圆满了。

但华为并非孤例。

然后，费兰出现了——左脚一击，西班牙第二颗星入账。

他们的进攻火力强劲，小组赛打入8球，乔纳森·戴维状态火热，对阵卡塔尔上演帽子戏法。