尽管塞内加尔在1/16决赛中2-3惜败于比利时，遗憾止步32强，但马内用尽最后一丝力气，完成了对国家队使命的交代。

1、英亚体育 随着意甲第37轮战罢，争四形势再次出现较大变化。

那么问题来了，晋级本届世界杯四强的阿根廷、法国、西班牙、英格兰到底多久没夺冠了？ 2026世界杯四强球队都是带星球队，袖标都是金色，那么他们多久没拿冠军了呢？ 英格兰60年未能将足球带回家，今年行吗？2026世界杯冠军，你看好谁呢？会是进攻实力独一档的法国队吗？ 四星意大利未能晋级2026世界杯正赛，四星乌拉圭止步小组赛，四星德国止步32强，五星巴西止步16强！2026世界杯四星和五星球队战绩拉胯，世界足坛在变化，有些强队已经变得不强，有的弱队已经在突飞猛进，比如时隔28年再次参加世界杯的挪威队，若不是瑟洛特不传球，挪威也不会止步八强！足球是竞技体育，如同逆水行舟，不进就退。英亚体育在经历了3轮仅拿1分的惨淡战绩后，米兰终于在第37轮客场2-1战胜热那亚，这也让他们把争四主动权牢牢握在自己手中。

2、咪咕签约作家麦苏亮相书博会读者大会，精品创作引领全民阅读新风尚

对于克罗地亚而言，这是一道再简单不过的算术题：赢球直接出线，打平则需看别人脸色，输球基本宣告回家。

3、385.9万千瓦！孝感电网用电负荷刷新历史

" 麦卡利斯特还谈到了作为卫冕冠军的意义。

4、全网走红的「爆改老妈」，审美霸凌了多少中年女性？

再往前追溯，2018年热身赛两队1-1战平，2014年热身赛阿尔及利亚2-0取胜。

5、7.23欧联杯推荐：贝西克塔斯vs中日德兰

不同的是，DeepSeek用开源和低成本路线扩大外部影响，而不是优先依赖企业客户完成商业闭环。

但我们没能做到这一点。

梅西独享历史助攻王，麦卡利斯特头球破僵 比赛伊始，阿根廷队便展现出了强烈的进攻欲望，并迅速取得梦幻开局。

6、伊姐周六热推：电视剧《枭起青壤》；电视剧《毒舌家庭》......

目前这名20岁球员的转会费预计在6000万欧元上下，只待球员本人做出决定。

极致的资源优势，造就了天齐锂业简单直白的商业模式：采矿、炼锂、销售。

7、齐鲁银行两名副行长任职资格获批，高管层形成“一正四副”格局

产业端却产销两旺，这种罕见的对立，表面上指向碳酸锂从5月高点每吨20万元快速回调至15.1万元，但更值得关注的是：这是周期见顶的信号，还是产业逻辑正在经历深刻重估？ 回答这个问题，需要将镜头拉远，审视2025年到2026年间锂电池产业完成的一次范式迁移。

双方近6次交手，法国2胜4负，处于下风。

8、农业农村部：二季度末全国能繁母猪存栏量已经调减至3780万头，同比减少263万头

莫德里奇的续约谈判也将急转直下。

博睿康选择的科创板第五套上市标准允许尚未盈利、但拥有核心技术与较大市场空间的企业上市，要求预计市值不低于40亿元，主要业务或产品需经国家有关部门批准并取得阶段性成果。

" 拉菲尼亚在巴萨表现最好的赛季是2024-25赛季，当时他在各项赛事出场57次，打进34球，送出26次助攻。

9、“蓝色衬衫”越来越流行！怎么搭都时髦好看

储能已经不再是动力电池的“附属品”。

马丁内斯的球队进攻手段丰富，既能打阵地战，也能打快速反击，进攻多点开花，威胁点分散，让对手防不胜防。

10、贼心不死！菲律宾又派两艘舰艇增援仁爱礁，马科斯更换总参谋长！

而在进攻端，塞尔维亚人更是火力全开，各项赛事出场33次，打进4球并送出1次助攻，场均评分稳定在7.2分以上。

六、一个反常识的提醒：高薪实习，不是唯一答案 写到这，我得补一刀，免得你把"进大厂拿高薪实习"当成唯一正解。

1、一向儒雅的于根伟，为何会在本轮中超直接破防，被主裁直接罚下

这种稀缺性，是资本愿意提前给予其高估值的重要原因。

2、一年内 20 名球员离队，又要卖掉段刘愚李源一，泰山队明年要保级

他拉着别人的手，走出了那个"无底深渊"。

3、湘潭市住房公积金结息首超2亿元

葡萄牙的问题在于进攻效率不稳定，面对强队时中场优势不明显。重庆山体垮塌有人被埋，今天预计有大暴雨颇具戏剧性的是，去年夏天马竞原本就是哲凯赖什的热门追求者之一，只是瑞典人最终选择了酋长球场。

4、北京国安VS申花：达万客串中卫，塞鸟+孔特坐镇中场，曹永竞冲锋

按照罗马诺的披露，教练组要的是一名能游走在拉莫斯身后、在前场三分之一区域自由移动的边锋或攻击型中场。

5、走进哈尔滨·民生｜原拆原建 破解危房改造难题

马竞方面计划在八月季前训练开启后与阿尔瓦雷斯进行关键谈判，但越来越多的人感觉，西蒙尼在这场拉锯战中已经提前落了下风。

6、首批3家上市行半年业绩报喜！重庆银行净利增10%，多只银行股二季度遭基金减持

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。

依托该平台，本届大赛将深度链接区域创新资源，升级本土创新平台服务能力，深化与本土初创及新兴科技企业的协同创新，为参赛项目提供更完善的孵化生态与落地保障。

所以这也意味着AI宠物有着更深层的吸引力，它不只是宠物的平替，更是一种情感模式的适配器，并由此催生了更细分的需求。

7、13岁男孩呼吸衰竭进PICU！这个病大多数家庭都忽略了

从新加坡主权基金淡马锡，到全球资管巨头贝莱德、摩根大通，再到阿里巴巴和腾讯，33家顶级机构合计认购约270亿港元，占发售股份近五成，几乎逼近港交所50%的上限。

当行业开始精打细算折旧、利用率与交付效率，许多公司终将回归自己最擅长的环节。

8、法国VS西班牙前瞻：夺冠热门巅峰对决，姆巴佩能破传控阵吗？

主帅德拉富恩特打造的这支年轻球队，既有金球奖得主罗德里在中场的绝对掌控，又有亚马尔这位超级球星在边路的单点爆破，攻守兼备。

西班牙俨然成了法国足球挥之不去的梦魇，而这场0:2的完败，绝非偶然的运气不佳，而是法国队在阵容结构、战术体系以及核心球员缺失等多重因素交织下的系统性崩盘。

同时，便利店货架资源有限，零食品类只是整体陈列的一部分，无法像专业店那样做全品类、沉浸式展示，产品吸引力和转化效率天然受限。

礼来用了二十年弥补一个本不该犯的错误，幸运的是，它最终补上了。