由于本纳赛尔、邦多确定不在计划之内，均被排除在外，让人意外的是，连年参加夏训的泽罗利这次却落选了。

1、乐鱼体育 “我非常了解拉明，这是他展现自信的一种方式，也是他给自己增加的一份动力。

就本届世界杯三场小组赛以及三场淘汰赛所展现的球队实力以及战术内容，可以说法国队是最强的，过去两届世界杯，法国队一冠一亚，成绩非常稳定，本届世界杯的高卢雄鸡进攻更加犀利，姆巴佩、登贝莱、奥利塞、杜埃组成的进攻四叉戟非常犀利。乐鱼体育大模型训练的高峰期过后，行业焦点正加速转向推理落地和智能体应用。

2、凉山2人入选！“川超”冠军挑战赛挑战队集训初选名单出炉

核心球员大多效力于欧洲五大联赛，最大牌的球星是阿方索·戴维斯，这位拜仁左后卫身价7000万欧元，是球队的绝对核心。

3、与前队友斗殴冲突，不满ESPY颁奖！NBA3届全明星中锋恐成众矢之的

特斯拉为租赁车辆和合作银行的贷款提供残值兜底承诺，一旦二手车市价跌破担保底线，特斯拉就要补上差价。

4、武都多措并举激活妇女就业增收新活力

另据腾讯深网近期引援渠道商最新数据，包括8GB+128GB、12GB+256GB内存配置在内多款中低端机型，当前零售价涨价幅度在200元到400元之间。

5、吃完感冒灵不能开车了！国家药监局发布新规

另一个看点是60分钟体能线，塞内加尔高强度逼抢能否在前一小时建立优势，挪威又能否在后程利用对手体能下降的机会发力。

在 Guillaume Motte 看来，中国市场的战略权重体现在三个维度：规模上，作为仅次于美国的全球第二大美妆市场，它构成了丝芙兰坚实的增长基石；创新上，中国本土涌现的新锐品牌与产品迭代，不仅精准回应了本地消费需求，更为全球选品体系注入了多元灵感与文化视角；技术上，中国在数字生态构建与 AI 应用上的领先实践，为丝芙兰的全球运营提供了具有价值的参考范式。

历史交锋方面，两队共有7次正式交手记录，法国队4胜2平1负占据上风，其中世界杯赛场上有过两次相遇，1998年法国本土世界杯小组赛，法国3比0完胜摩洛哥；2022年卡塔尔世界杯半决赛，法国再次2比0击败摩洛哥，最终闯入决赛。

6、克拉塞因足底筋膜炎进伤病名单，皮南戈范埃克随即被蓝鸟召回

如果你让阿根廷这样有实力的球员在你的禁区附近从容拿球，他们迟早会进球。

此外，在今年WAIC上，曦智科技与中兴通讯、壁仞科技、沐曦股份、燧原科技、天数智芯合作的“基于OEX+dOCS架构的国产高性能Matrix超节点”拿到了SAIL之星奖项。

7、时隔多年，前IPL掌门人莫迪终获法律清白

渠道商替品牌完成市场教育，也意味着替品牌降低了摆脱渠道的成本。

在俱乐部层面，尽管他身处美职联，但这座即将到手的世界杯冠军足以抹平一切联赛平台的短板。

8、司机高烧引发热射病 民警争分夺秒火速送医抢救

英超冠军不仅加大了对罗杰斯的追求力度，还在瞄准马竞的阿尔瓦雷斯作为锋线新援。

02 播客为什么特别盛产这些词 这首先和中文播客的核心听众有关。

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。

9、点球大战陈威两度扑点，海港晋级足协杯八强

" 然后，广场上响起了整齐的呼喊。

乌拉圭全队身价约3.6亿欧元，最大底气来自中场线，乌加特、本坦库尔、巴尔韦德三名五大联赛主力组成的中场组合，跑动覆盖广、对抗硬度高，堪称典型的中场绞肉机。

10、鲁尼谈西班牙晋级密码：罗德里才是隐藏核心，他让全队拥有冠军气质

战术风格上，两队走的是截然不同的路线。

产能扩张会帮助拓竹降低单位制造成本，也可能提前把价格竞争推到台前。

1、云南丽江一餐厅“标价78元一锅，收费时变成78元半斤”，被责令整改，罚款10000元

2025年11月底，超卓航科首次披露易主方案，实控人家族与湖北交投资本达成协议，拟以每股41.16元转让20.93%股份，对应总价7.72亿元，湖北省国资委将成为上市公司新实控人。

2、“能”行！夏季达沃斯嘉宾热议

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。

3、1955年别克世纪双门Riviera翻新待售，322ci V8与变速箱均经大修

而当平台经济把这部分能力变成了水电煤一样的基础设施，渠道商最大的竞争力，反而变成了最容易被替代的能力。今晚（7月24日）三开！2026“湘超”揭幕战长沙队VS永州队门票再开抢！前两次没抢到票的球迷，千万别再错过2026年Q1全球份额约8%，排名第四。

4、蓝鸟王牌高斯曼8队不可交易名单曝光：雄鹿水手在列，合同最后一年表现陷低谷

他在对阵摩洛哥的比赛中首发登场，以1球1助攻的数据展现了极强的冲击力与战术执行力。

5、鲁尼怒批世界杯决赛中场秀：简直是垃圾，FIFA却说是“开创性奇观”

未来五年，且看这位匈牙利天才，如何带领红军重返欧洲之巅！“家有一老如有一宝”，这是独属于阿根廷的“越老越妖”。

6、维拉推动租借+强制买断引进加纳乔 切尔西坚持要价四千万镑

米兰夏窗的九号位引援，一直是球迷最关心的话题。

北京时间7月15日凌晨，2026美加墨世界杯将迎来首场半决赛较量，法国队在达拉斯体育场对阵西班牙。

竞争逻辑的变化是深刻的：行业不再是“有产能就能赚钱”，而是“谁先完成技术换代，谁就能占据超额利润”。

7、为什么杜伦还没续约？看历年RFA签约时间就懂了

更令人遗憾的是，比赛结束后贝林厄姆情绪失控，对阿根廷球员瓦伦丁·巴科做出了掌掴动作，为这场失利增添了不和谐的注脚。

虽然拓竹很快便发布声明称，已与泡泡玛特友好磋商并达成和解，相关问题内容已经全面下架。

8、从确诊到开台手术仅耗时40分钟，岳阳广济医院多学科协作救治车祸肾破裂伤者

不过迈尼昂与阿莱格里的门将教练菲利皮建立了深厚的工作关系和个人情谊，阿囧的离职让他备受打击。

据刘圣在一次公开分享中透露，光模块的迭代周期已经压缩到2年左右，行业正从400G、800G迅速迈向1.6T大规模商用，并朝着3.2T演进。

25/26赛季，AC米兰经历了高开低走，球队前半段展现出极强的防守韧性和强强对话能力，后半段却一落千丈，欧冠资格至今悬而未决。

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。