而西班牙这边，库巴尔西127次、波罗119次、罗德里116次，三人均破百。

1、博亚平台 耐克曾长期为滔搏贡献超过六成收入，是整个体系最核心的增长引擎。

这不仅是一场冠军之战，更是两队胸前绣上第二颗和第四颗星的最后一步。博亚平台今年3月，集团获评上海市闵行区首批大企业开放创新中心并揭牌落地。

2、国足热身赛战平强大的泰国，这比赛让球迷看见亚洲杯夺冠的希望？

麦卡利斯特首开纪录后，恩多耶为瑞士扳平比分将比赛拖入加时。

3、清凉解渴更暖心！红岩派出所高温下架起警民“连心桥”

核心看点三：连续三年的半决赛恩怨，复仇与压制 这已是法西两国连续第三年在顶级赛事的半决赛中狭路相逢。

4、谢贤离世，谢霆锋发文：不用哭，也不必太伤心

面对山东泰山，大连队放弃了无谓的控球，祭出低位防守与快速反击的致命杀招。

5、国资央企上新一批人工智能创新应用

钛媒体：存储领域有哪些新的关注焦点？ 俞康：随着AI Agent、企业Copilot以及各类行业智能体逐步进入真实业务场景，存储正变得不可或缺。

不过截至目前，西班牙和英格兰的俱乐部都尚未向米兰提出正式报价，转会暂时停留在球员个人意愿层面。

一个成功仓位上涨以后占比过高，即使标的仍有前景，也可能让整个账户结构重新暴露在单一尾部风险之下。

6、世界杯奖项出炉：3人上桌，1人下桌，梅西空欢喜，姆巴佩成赢家

即战力与经验的完美契合 对于急需补强中场的曼联而言，蒂莱曼斯的到来无疑是一场及时雨。

主教练阿莱格里承受了很大的压力，其中外部压力质疑他的战术安排，这导致对阵乌迪内斯“顺应民意”变阵4-3-3，最后主场3球完败。

7、连续踩中多个风口背后，谁也不服的湖北做对了什么？

对希捷来说，我们目前还是专注于硬盘。

而在收回线上销售权后，耐克有机会统一全网定价、规范服务体验，获取完整的消费者数据，同时赚取零售端更高的毛利，以此厘清线上线下渠道冲突，应对大中华区持续承压的市场局面。

8、云南腾冲热气球又掉下来人？谣言！

随着法国队的黯然出局，西班牙队已经成功拿到了决赛的门票。

与此同时，海外锂矿增量又给远期的供给宽松再添一笔。

赛后，助攻双响的梅西获得全场最高的评分-8.0分，强强对话中唯有球王持续巅峰状态，这就是越老越妖的技术流超巨-梅西。

9、开始抢人！广东迎来新帅最佳人选，唯一有资格接任杜锋的主教练！

把分散的环节组织成这个结果，才叫算力服务。

孙卓认为，胜负手还是取决于，“模型能力再强，得有人用。

10、唯一缺少的荣誉！梅西仍有望冲击世界杯金靴，决赛戴帽或2球1助

这个数据是系统优化的结果，模型版本、算子实现、服务器配置、网络带宽和调度方式，都会影响最终能交付多少有效 Token。

仅就联赛中12次首发而言，法国人5球3助攻的成绩单并不算太差，但缺失的是连续性，他的进球荒已经持续了近3个月。

1、全红婵空降黄子韬演唱会！被偶像点名害羞捂脸，奥运冠军秒变追星少女_网易订阅

巴拉圭的吉尔和日本的铃木彩艳，都是表现格外抢眼的门将。

2、2026怡宝中国足球超级联赛 第17轮 北京国安主场赛事票务公告

摩洛哥方面，球队阵容星光熠熠，三条线均衡，防守组织严密，反击速度快，大赛经验丰富，但锋线终结能力一般，体能储备不足。

3、差距太明显！山东男篮惨败出局，邱彪发火了，外援真的没法比

这几年，AI产业的竞争几乎围绕"算力"展开。2026高招提前批捡漏王来了：487分上岸985高校定向生，排名36000+红牛系主帅马什主打4-4-2阵型，核心是高位逼抢加两翼齐飞加快速反击。

4、上海中心城区发布高温橙色预警信号！注意防暑降温

而超节点，正是为解决这个问题而生。

5、世界杯临近总决赛，央媒亮樊振东“新身份”，刘国梁的话有人信了

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。

6、以德报怨？加维回应2次被推倒：阿根廷球员不该被禁赛 这就是足球

在2021年的一份内部文件中，Anthropic的联合创始人就已经写过，为什么公司要聚焦在Coding上。

摆在面前的，是又一个全新的赛季。

但请先别急着焦虑。

7、德国实体投资停滞，“无形投资“排全球第三

一方面，品牌方严格控价，减少折扣，可能会造成其短期的销量下滑，如果后续为消化库存再度大规模进行官方打折，又会进入此前的困境，改革意义大打折扣。

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。

8、Shams：詹姆斯有5个下家选择，但都只能提供底薪了

同样处于待定状态的还有从亚特兰大租借回归的穆萨，阿莫林打算利用这期集训对他进行全面评估，再决定是留用还是再次外租或出售。

比尔·阿克曼有个案例，2020年初，比尔·阿克曼管理的潘兴广场担心疫情可能对经济和信用市场造成巨大冲击，他没有卖掉全部持仓，而是通过信用违约互换建立对冲。

它们的共同点在于，商业化并非始于技术，而是始于对客户痛点的精准洞察，并以此构建起难以被轻易复制的商业闭环。

K3有多火，资本就有多急 K3引爆的“Kimi时刻”，把月之暗面推到了一个无法回避的拐点。