需要指出的是，随着耐克对渠道改革的不断加码，未来是否会收回经销商的线下销售权，仍存在不确定性。

1、乐竟体育 2025年全年，格林布什矿山产出135万吨锂精矿，产能规模占到全球硬岩锂矿总产量的近两成。

知道得早，就赢了一半。乐竟体育两粒都在加时赛。

2、宿茂臻光画大饼！买乌郎打不了右后卫，大连租小德不如引进段刘愚

这粒进球不仅让法国队稳操胜券，更让他的世界杯总进球数达到20球，距离梅西的历史纪录仅一步之遥，也以8球在本届射手榜上追平了梅西。

3、中超倒数第3公布伤情：造6球强援伤缺2-3周，最多将缺席4场比赛

真正的超节点必须具备三个技术特征：超大带宽、超低时延、统一内存编址。

4、1970年道奇挑战者T/A 340 Six Pack：全球仅七辆的同色涂装经典跑车现身

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。

5、无锡马的商业上限，被涨价的酒店锁死了吗？

就连细分赛道的Wi-Fi MCU龙头博通集成，净利润也实现149.59%至175.59%的同比增长，归属于上市公司股东的净利润为4800万元至5300万元。

同样的，聚焦帮助模型创业公司减少了战线，却没有帮其拉平与大厂的资源差距。

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。

6、尤文引进布拉欣-迪亚斯困难重重，37岁马蒂奇进入尤文考察名单

30次抢断尝试成功19次、成功率63.33%，表面看还行，但对比一下就清楚了：凯塞多抢断成功率只有52.34%，但他整个赛季完成了128次抢断，比加纳乔多出近100次。

计算能力提升得越快，通信、存储和散热越容易拖住整体效率，这都是智算中心走向规模化后绕不开的问题。

7、阿根廷助教回应掌掴奥尔莫：更像推搡，因对方言语才作出反应

但马竞的态度始终坚硬如铁：不放人。

待清理球员中，快乐男孩福法纳上赛季的表现神鬼莫测，虽有灵光一现的直塞，但更多地是让人哭笑不得的失误，他也不符合阿莫林的建队思路，俱乐部准备清理掉法国人，目前法甲与土超均有潜在买家，米兰的心理价位接近账面净值。

8、1998年三菱Eclipse GSX现身：仅行驶4.4万英里

乙游的抽卡体系和付费逻辑，都是围绕固定可攻略角色搭建的。

对于志在带领三狮军团走得更远的他而言，如何在高压环境下保持竞技状态与情绪稳定，仍是成长路上必须面对的课题。

但如果最终仍是这种处理方式，那很有可能是给自己埋雷。

9、早啊！新闻来了〔2026.07.24〕

此前，马略卡一度与佩德罗拉走得较近，但随着他们将引援重点转向其他边锋人选，这笔潜在交易的热度有所降温。

基于HAMR的Mozaic+平台目前已经实现超过4TB单盘面密度，并支撑44TB级硬盘产品。

10、借势2026世界杯，他要让更多美国孩子踢上球

4天3板中曼石油：受中东地缘政治冲突影响，公司伊拉克区域多支井队仍处于停工待命状态 7月23日，中曼石油公告称，公司股票于2026年7月22日、7月23日连续2个交易日内日收盘价格涨幅偏离值累计超过20%，属于股票交易异常波动。

但巴西3R所承载的历史底蕴、个人荣誉厚度以及那座大力神杯的终极证明，依然是法国三叉戟目前难以企及的高度。

1、单户下行最高10万兆，湖北布下6G产业先手棋

这也是同为体育用品领域的头部品牌公司，耐克、阿迪的毛利率长期低于50%，但安踏的毛利率不仅超过50%，而且常常保持在60%上下的一大原因。

2、意外！毛伟杰为何会在本轮大连中超赛前突然泪奔？原因让球迷动容

定位球是阿根廷的重要得分手段，在强强对话中往往能起到决定性作用。

3、阿根廷助教为拳打奥尔莫道歉：那不是拳击，动手全因他说了句话

市场已从“讨论加息”进入了“定价加息”的阶段。波特兰少年3.07美元购张伯伦夹克，数月后拍出近9万美元短短4年时间，二马和皮奥利稳住的基本盘就这样被红鸟消磨殆尽，对米兰球迷来说，可能又要经历一段时期的至暗时刻了。

4、民乐：深耕沃土兴科创 激活发展新动能

完整产业数据报告、市场趋势分析，移步「产联社」客户端港交所最大IPO来了！ 7月22日，全球光模块龙头企业中际旭创，正式在港交所启动公开招股，全球发售H股基础发行股数为5450万股，最高发行价定在1010港元/股，每手50股，募资总额最高可达约550亿港元。

5、SportsLine模型曝2026梦幻选秀沉睡者：雄狮近端锋拉波塔有望反弹

里尔给他的标价是8000万欧元，巴黎圣日耳曼、曼联、曼城和利物浦都在密切跟进。

6、2011款奔驰GLK350无底价拍卖，里程仅5.8万英里

这真是巨大的失望。

综合来看，英格兰纸面实力明显占优，年轻体能充沛，阵容深度优势巨大，正常发挥赢面更大；但克罗地亚大赛属性极强，莫德里奇的中场控制力不容忽视，韧性十足的防守体系完全有能力逼平对手。

比如海外模型厂商的担忧、开发者的好评以及随之而来的算力不足问题，甚至杨植麟本人登上热搜，这也是他第一次在大众意义上的出圈。

7、NFL拉动马德里1.5亿欧经济效益 始祖鸟母公司大中华区收入大涨

面对点球失手的巨大压力，他没有丝毫怯场，而是用最霸气的方式完成自我救赎。

战术核心是中场控制+防守反击+定位球。

8、侯森替补去中甲，国安试金徐正源 铁人若客场对攻 后防必被打成筛子

只要连续听几档中文播客，很快就能学会一套新的普通话。

2026世界杯接近尾声，仅剩下最后两场比赛，决赛以及季军战，西班牙和阿根廷争夺冠军，法国和英格兰争夺季军。

拜仁更为节制，德甲南大王近两个赛季累计投入2.378亿欧元。

OpenAI嫌挖人都太慢了，直接砸钱端走公司。