巴黎方面和费兰方面有过初步的续约接触，但也仅仅是试探性的，并没有深入。

1、乐鱼APP 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”。

因为API的B端调用才是真正的消耗大户，而B端客户对价格的敏感度远低于C端，100元/百万tokens的高定价不仅没劝退用户，反而成为“性能对标海外旗舰”的信任锚点。乐鱼APP如今，当初那个在梅西怀里的小婴儿，已经成长为巴萨一线队的核心，并在2024欧洲杯以及本届世界杯上大放异彩。

2、广州大闹车站女子已社死：正脸曝光，撒泼画面流出，拘留只是开始

特林康的加盟，只是沙特联赛疯狂引援的一个缩影。

3、韩鹏往死里用谢文能！阿尔瓦罗堪比“玻璃松”，英博若双杀山东算强队不？

红鸟财团在赛季收官战辞退主教练阿莱格里和3名管理层人员后，老板卡迪纳莱和顾问伊布承诺会在一周内敲定新帅和新总监。

4、兰博基尼Temerario定制双车发布，内饰首搭羊毛，外观如行走的设计草图

西班牙1比0击败阿根廷，在新泽西捧起了队史第二座大力神杯。

5、保时捷911SC原厂Fuchs轮毂无底价拍卖，搭配米其林轮胎

工业机器人的落地周期长，从POC验证到批量部署，中间还有很多坑要踩。

周一晚间，转会专家罗马诺在YouTube上透露了他所掌握的拉克鲁瓦去向，并对阿森纳的传闻作出了回应。

国内云厂商的DRAM采购有多少从三星和SK海力士转到了长鑫。

6、16k英里准新成色！2017款揽运SVR定制巴尔莫勒尔蓝，550马力V8待售

与此同时，阿森纳已将搜索范围扩大。

胡梅尔斯承认，那条路线确实培养出了一批技术功底扎实的球员。

7、80岁特朗普嘲讽3.28亿豪门总输球，带头大做争议手势：“他们不让做，你们就做！”

现在很多AI产品会结合用户过去的使用记录和交互历史来理解需求，这意味着系统需要长期保存大量上下文信息和记忆数据，只要开始用Agent，存储方面的储备一定是非常巨大的。

末日期权具有极强的局部“凸性”，但不等于具有良好的投资赔率，末日期权把点火时间压缩到几天甚至几个小时，只要事件稍微晚一点，方向判断即便正确，期权也会归零。

8、定了！吹罚本届世界杯决赛的是他！

中卫位置人手紧张，宽萨追加停赛1场，联赛已淡出首发的斯通斯需要挑起大梁；边后卫位置里斯詹姆斯刚刚伤愈，状态如何需要观察；此外，球队近3场淘汰赛都有丢球，防线不够稳固。

“最快6个月”仍是知情人士给出的预期，而非公司正式发布的上市计划。

“去年卖模型，今年卖Harness，明年可能卖完整Agent解决方案。

9、加拿大仅两台！爱尔兰绿2019款高尔夫R Spektrum手动挡待售，里程8.8万公里

从“连接兴趣”到“创造兴趣”，这不仅是趣丸科技的进化论，也是一个关于“技术如何服务于人”的答案。

02.模型掉队叠加天价投入，谷歌成了AI风向标 谷歌当前面临的主要挑战，并非AI业务没有用户或者没有收入，最大的问题是其最核心的基础模型没有延续去年底的领先势头。

10、目标2030年产值破5000亿，东莞发布服务器专项政策

加时赛双方均无建树，点球大战中荷兰三人罚失，摩洛哥3-2胜出。

他既有禁区内的头球破门，也有对阵都灵时的凌空世界波，这种强力带刀侍卫也是最受转会市场欢迎的类型。

1、ESPN：天使队态度巨变，将交易多名建队核心

整个小组赛，只有130分钟。

2、榆中县举办2026年人才创新创业大赛

对一家拥有近20万名员工的公司而言，两名研究人员离职不会直接改变季度业绩，但在前沿模型高度依赖少数顶尖人才的行业，这类变动具有超出人数本身的信号意义。

3、蓝鸟无缘季后赛却舍不得交易王牌 与大都会同病相怜

特朗普加码对伊朗的战争威胁，称“只要伊朗在霍尔木兹海峡袭击一艘船只，美国都将轰炸并摧毁一座伊朗桥梁或发电厂”。罗伯特·柳比契奇租借加盟林茨此外，巴西球员留洋后战术风格的碎片化，也让国家队在短暂集训中难以形成默契。

4、2003款哈雷V-Rod百年纪念版无保留价拍卖：里程仅9千英里，搭载保时捷合作引擎

米兰夏窗的九号位引援，一直是球迷最关心的话题。

5、津巴布韦首球即遭重创：0跑1出局，印度投手梅扬克闪电破局

下一次反弹，是“真反转”还是“假反弹”？答案或许不在K线图里，而在霍尔木兹海峡的油轮航线上，在7月29日的美联储议息声明里，和AI资本开支的下一个季报数字中。

6、踢申花不用动员！烟雾弹？上海德比前海港暗示2名重要球员将复出

上险量数据显示，当年埃安超过44万辆的新车销量中，AION S的网约车占比高达72%。

埃梅里的球队下赛季将征战欧冠联赛，能够为莱奥提供顶级赛事平台，这一点比此前唯一表达兴趣的加拉塔萨雷更具吸引力。

数据显示，法国场均控球率不足五成，仅为49.7%，在四强球队中排名垫底，但场均射门达到18.3次，射正率高达42.7%，射门转化率18.2%，反击质量堪称本届赛事顶级。

7、破天荒！红牌“缓刑”！国际足联给美国队送“大礼”，比利时气炸：以为是愚人节

西班牙1比0击败阿根廷，捧起自2010年南非世界杯以来的第二座大力神杯。

C罗六届世界杯仅有1个进球，还是点球；梅西已经独享世界杯“双王”，10助和21球分别领跑世界杯历史助攻榜和射手榜，梅西也是世界杯历史首位助攻和进球均上双的球员。

8、活力中国调研行｜每15秒一个储能电池包！南通AI工厂造出的“巨无霸充电宝”热销海外

原因无他，那份刚出炉的二季报里，写着高达11亿美元的负自由现金流，以及一个让所有人大跌眼镜的资本开支（Capex）计划。

资金不足加之多特步步为营，米兰距离签下卡雷察斯愈发遥远，他们也在寻找备选目标。

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。

阿浩去的那两家店，都开在2024年以前。