赛后，球迷们纷纷调侃西班牙队拥有“冠军气运”。

1、高比体育 俱乐部日前已通知部分球员的经纪人前往米兰总部，明确告知其客户是否在新赛季计划之内，这标志着一场大规模的阵容清洗即将展开。

Cricut 2025 年年报显示，截至年底，公司有接近 590 万年度活跃用户、约 370 万 90 天活跃用户；公司还在财报中说明，持续创作会带来配件和材料的重复购买。高比体育目前队内多名球员对于俱乐部的现状感到困惑和不安。

2、参加高考被吐槽“耍大牌”，她真的有错吗？

在这场新老两代天才的第11次正面对决中，亚马尔所在的球队再次笑到了最后。

3、透过经济半年报

随着四分之一决赛于本周四在波士顿打响，法国与摩洛哥一役结束后，皇马仍有6名球员留在争冠序列中：库尔图瓦、科纳特、库库雷利亚、楚阿梅尼、贝林厄姆和姆巴佩。

4、把香烟换成电子烟，危害能减多少？

紧随而来的是，月之暗面的上市消息。

5、被曝光的网红“古法护肤品”确含违禁成分 医生提醒：纯中药、天然不等于绝对安全

作为供应商，电芯流向了哪些客户、哪些车型，内部不可能没有完整记录。

简单来说，就是在经济可持续的前提下，通过球员交易（最大化出售收入，再投资于有成长空间的球员）来保持竞争力。

而那届世界杯身价最高的法国队全队总身价才11亿欧元，网友算下来，两位大佬的身家能买下好几支法国队。

6、全网走红的「爆改老妈」，审美霸凌了多少中年女性？

西班牙的战术则更加体系化，德拉富恩特打造的是现代版的tiki-taka，比传统传控更直接、更有压迫性。

” 印奇坦言，他请教过的终端人士给出的建议高度一致：不要碰硬件。

7、女子便血半年以为是痔疮，一查竟是癌！排便出现4种异常及时就医

当然，他们的对手也会因为同样的原因面临人员不整的情况。

考虑到4分在12个小组的第三名中几乎铁定晋级，两队实际上都已手握淘汰赛门票，这场较量更多是为排位而战。

8、世界杯决赛阿根廷vs西班牙前瞻，亚马尔vs梅西

结果显示，4个良性代理构建体均成功完成组装，电泳检测得到预期大小的条带，测序结果确认序列符合预期。

随后，此前在本届赛事中为西班牙扮演过英雄的梅里诺，几米外无人盯防的头球竟然顶偏。

五年光阴流转，两人已蜕变为各自国家队的领军人物。

9、突袭者近端锋单膝跪地，给NFL选秀明星女友赌上一枚戒指

AI推理并不是一个单纯的计算过程，而是一个完整的数据流动过程。

拆解这份投资方名单，你会发现它的“含金量”远不止于金额本身。

10、错失大鱼后调转枪口！阿森纳瞄准“新维埃拉”！死守 1 亿天价

两粒都在加时赛。

伊布继续担任老板的高级顾问，斯卡罗尼则保留主席职位。

1、暴雨、强对流、台风等6预警齐发，中央气象台：今晚至明晚，山东、河南、安徽、江苏等地将有大到暴雨，10级以上雷暴大风，局地或有龙卷

在俱乐部层面，他上赛季效力于德甲弗赖堡，各项赛事出场47次，贡献7球9助攻，目前德转身价已高达5000万欧元。

2、体系前锋，头球为王，德甲上演头球帽子戏法，退役指导莱万

（文｜公司观察，作者｜苏启桃，编辑｜曹晟源）当前大模型从“聊天机器”进化为能调用工具、规划任务的“智能体”。

3、俄方：乌克兰军队袭击一家工厂，致6人死亡、26人受伤

埃德森的战术价值在于充沛的体能覆盖、强硬的对抗能力以及由守转攻时的纵向推进效率。龙虾智能体如何帮中小企业赋能？骆仁童老师从原理讲到实操通过AI音乐和AI语音的双轮驱动，趣丸科技正在成为文娱产业的“新基建”提供商。

4、10家上市公司披露回购或增持计划公告 其中三一重工拟最高8亿元回购

这次调整并不是为了减少消费者的购买入口，而是希望减少无序和重复的触点，建立一条更完整、更连贯的消费者旅程。

5、乌拉圭国家队霸气晒合照！300万人口小国 同时拥有皇马巴萨双队长

事实上，这并非阿根廷队首次因类似行为受罚。

6、体检查出肝脏肿瘤怎么办？

科斯蒂奇的情况则完全不同。

有一组对比，无论如何都绕不开。

不过那段经历并不顺利，伤病让他仅出场两次便提前结束了租借。

7、深化能力作风建设·奋进“十五五”｜逊克 老小区里来了“新管家”

但伟大的球员不需要90分钟全程统治，有时候只需要最后那一段。

一支强队，后腰位置真的太关键了。

8、山东融汇集团“爱岗爱企 敬业奉献 责任担当”主题活动深入推进

比赛数据更能说明这一点，法国全场狂射22脚，其中8次射正；而摩洛哥仅有5次射正，其中1次射正。

月之暗面官方也直言：“K3的整体表现仍落后于最强的闭源模型 Claude Fable 5 和 GPT-5.6 Sol，但在整套评测中展现出前沿水平的能力，并稳定超过了其他所有模型”。

格拉斯纳善用3-4-2-1阵型，喜欢高位压迫和快速反击并举的打法，非常具有观赏性。

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。