德尚的换人调整立竿见影，法国队仿佛突然从梦中惊醒，进攻端水银泻地般连扳三球。

1、mk体育 这一上调幅度符合市场预期。

" 过去，德国队从来不缺硬桥硬马的冲击力和身体对抗，这些曾是国家队安身立命的根本。mk体育曾被许多人贬低、包括卡拉格在内，这位五夺欧冠的得主用表现让批评者闭嘴，深受曼联球迷爱戴。

2、禹唐明日下午举办2026竞技类营销项目推介直播专场，核心议程早知道

更夸张的是投资方阵容，翻开历轮融资公开名单： 国资背景有中金资本、建投投资、上海半导体产投基金等； 产业资本有华为哈勃、北汽产投、伊利健瓴资本、万向钱潮； 跨境资本有新加坡狮城资本、中国-比利时基金； 市场化投资机构有达晨财智、华控基金、复星锐正、普华资本…… "四类资本全覆盖，这种股东结构在AI初创里绝对是顶级配置"，一位硬科技投资人评价道。

3、这位女部长，玩得太 “花” 了！

微软2026年Capex预计约1900亿美元。

4、感谢，里奥！20年如一日的好看足球，6届世界杯1冠2亚+历史助攻王

但米兰只拿到欧联杯资格，这很难打动魔笛。

5、王建球：树牢旅游惠民办会兴城理念 全力推动文旅产业高质量发展

这条路线链路短、部署相对直接，也能继承视觉语言模型的知识。

三四名决赛中4比6不敌英格兰的法国队排名第三，英格兰位列第四。

为了让渡控制权，李羿含还同步签下表决权放弃承诺，不可撤销地放弃剩余持股的提案权、表决权。

6、破解世界级勘探开发难题，我国首个陆相断陷湖盆页岩油示范区建成

由于缺席了本赛季欧冠，米兰为了弥补收入损失，在去年夏窗出售或带买断外租了一大批球员。

虽然从情感上难以接受，但回过头来讲这样也好，就凭球队最后几轮展现出来的东西，即便参加欧冠也只能是在更大的舞台上拉坨大的，现在的他们真得不配。

7、丑到离谱的牛马鞋，新中产抢疯了

第三类是世界模型与行动模型融合路线。

7月22日晚间，超卓航科（688237.SH）披露控制权变更公告，实控人李光平、王春晓、李羿含一家三口与太洋科技签下股份转让协议，以每股42.80元的价格合计转让26.58%的公司股份，交易总价约10.20亿元。

8、短跑冠军退役后查出“三高”，低体脂不等于健康身材

5 月 29 日，创想三维正式登陆港交所，成为“消费级 3D 打印第一股”。

随着法国队止步半决赛，他冲击首座金球奖的希望愈发渺茫，可以说今年已经没了。

对比来看，赣锋锂业自给率仅在50%至70%区间，国内多数中小锂盐企业仍需外购锂精矿，唯有天齐锂业可实现完全自给、无需对外采购原料。

9、腾讯WXG项目组负责人因泄密被辞退上热搜第一，曾晒317万年终奖截图刷屏

目前处在相对前沿位置，也最引人关注的是NPO（近封装光学）和CPO（共封装光学）。

另一种可能是，卡尔迪纳莱可能会对伊布进行削权，让他远离转会市场。

10、3方交易评级：雷霆、独行侠与老鹰的卢·多特和里萨谢的交易评级

世界杯结束之后，费兰才会认真考虑自己的下一站。

但在2025年8月，葡体花费1100万欧元买回了剩余的50%所有权。

1、软糯香甜！孝感这里的“网红”农产品，真香……

防守端防线前置，前场多人逼抢，场均抢断超过18次，迫使对手失误率高达23%。

2、Anthropic被自己的话反噬了：Fable 5发布4天就被强制全球下线，AI史上最短命旗舰模型

瑞典队的核心竞争力集中在锋线。

3、8国态度罕见一致：集体炮轰以色列亵渎行为，阿克萨清真寺再成国际焦点

国务院：加快人工智能在全民健身场地设施、赛事活动、健身指导、宣传推广等方面的应用 7月23日，国务院印发《全民健身计划（2026—2030年）》，其中提出，运用人工智能赋能全民健身发展。李新翔近期状态不俗！为何邵佳一就没考虑让他进国足，引发热议它需要审核、授权、分成、版权保护，也需要处理创作者和 IP 方之间的利益关系。

4、总书记为新时代新征程基础教育工作指明方向

Momenta是一家深耕L2级辅助驾驶方案的智驾公司，主要收入来源于软件与服务。

5、跨州奔波在桑拿天炼狱！靠深度碾压制胜，燃尽的英格兰耗赢挪威

中场方面，虽然管理层正在积极洽谈免签格雷茨卡，但他们还想再引进一名新援，萨索洛23岁的小将科内成为重点关注的目标，他的市场价值接近2500万欧元，卡马尔达可能被加入交易。

6、火箭队夏联遭淘汰！双控卫哑火，22投仅4中！助攻+失误数据是亮点

黑山小将的技术特点偏向现代型前锋，有持球推进能力，双足都能处理球，无球跑动意识在同龄人中属于上乘。

名单里有价格便宜的虚值期权，有市值小的AI公司，有刚上市的前沿科技企业，也有朋友推荐的Web3代币。

如今，随着阿莫林的到来，恩昆库迎来了证明自己的机会。

7、40天后，梅州再换帅！张效瑞卸任总经理，新帅朱炯已现身四级联赛

斯卡洛尼的球队或许在整体跑动上不及年轻的西班牙，但他们拥有在绝境中一击致命的勇气，以及全队为队长梅西拼尽全力以及多跑几步的三军用命。

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、弄巧成拙！瑞士前锋跳水骗黄未果反染红 球队努力被他无情葬送

面对攻击力强劲的南美劲旅，英格兰方面也在密切关注一切场外动态，力求在这场巅峰对决前捕捉任何可能的细微优势。

招股书披露的终端客户覆盖了阿里云、字节跳动、腾讯、联想、小米。

喜欢西班牙，喜欢阿根廷，因为喜欢看好看的足球。

巴萨技术部门对罗梅罗那种侵略性强、主动上抢的防守风格极为赏识。