据知名记者法布里齐奥·罗马诺透露，这位西班牙国脚目前对延长合同一事并无兴趣。

1、乐鱼电竞 他认为比赛中多次判罚存在争议，并直言萨尔瓦多籍主裁伊万·巴顿是否具备执裁世界杯半决赛的能力值得商榷。

而西班牙主帅德拉富恩特则底气十足，试图用心理优势继续压制高卢雄鸡。乐鱼电竞例如，在逆转埃及的比赛中，埃及主帅哈桑赛后公开怒斥比赛被人为操纵，直言“一切都是营销和金钱的问题，FIFA为了流量保住梅西”。

2、内娱新式人夫，翻车不冤

单位Token的推理成本、毫秒级的响应时延，成为决定商业模型能否跑通的关键指标。

3、44个摊位“嗨”到晚9点，北京国际饮品美食节开幕

WAIC现场技术人员打了个比方：“好比一个城市，如果每个区域之间通行都要经过收费站和翻译，效率必然大打折扣；真正的超节点就像把整个城市的路网统一编码，车可以直接开到任何地方。

4、56岁男子起夜上厕所，突发脑梗！医生叹息：多数老人都会犯这个

对于米兰来说，卢库米右脚中卫的属性、丰富的意甲经验、世界杯级别的水平，恰好可以填补托莫里离队后留下的右脚中卫空缺，且2500万欧元的价格在当下中卫市场属于合理区间。

5、董事长取保候审一个月后，新董秘来了｜董秘沙龙

作为上赛季的轮换球员，里奇原本被视为阿莫林集训初期可以考察的潜在主力人选，但据记者莫雷托的消息，他已不在新赛季计划之内，也没有进入阿莫林的首选名单。

首先，开源所带来的成本投入和克制商业化战略下的盈亏平衡。

与此同时，马竞方面持续传递同一信号：尽管阿根廷人已明确表达了离队意愿，俱乐部今夏不会接受任何价格将其出售。

6、震惊：他们连14个月的女婴也不放过！

机器人跑起来就是数据采集器，每天运行产生的动作、失败、力觉数据，天然回流训练。

从FIFA世界杯限定新品到“一包乐事直达FIFA世界杯”活动，再到线下观赛主题酒吧和明星观赛派对，乐事将产品、内容与沉浸式体验串联成一条完整的品牌链路，让“吃乐事，看赛有乐事”贯穿消费者的整个世界杯观赛旅程。

7、屡失良机乌拉圭，出线已然成濒危

如今，一部分在满负荷排队，另一部分却在公开招商、以接近成本的价格寻找客户；与此同时，模型企业和科研机构仍在抱怨算力紧张。

中国市场在全球战略中的角色从全球生产基地变成了出海能力熔炉。

8、中国美院录取通知书附带30份作业

芯片战争打到最后，拼的不只是谁拥有最先进的芯片，而是谁能制造机器，谁能掌握零部件，谁能组织成千上万名工程师，持续把一代又一代产品送进工厂。

耐克直营化VS安踏DTC 过去十几年来，不论是时尚行业，还是运动行业，不少品牌都在尝试进行DTC改革。

而遭遇境外上市受阻的苏州旭创，也亟需借助上市公司平台获得发展资金。

9、数字赋能引领人才公共服务再升级 --黑龙江省流动人员人事档案服务“一件事”正式上线运行

埃斯图皮尼安的转会是目前进展最快的一个。

在筛查层面，提升合成筛查鲁棒性，现有机制需增强对AI辅助分片策略的识别能力，推动ISO 20688等国际标准落地，发展兼顾隐私与安全的筛查方案并加强信息共享。

10、国家医疗保障局 统计数据 2026年1-6月基本医疗保险统筹基金和生育保险主要指标

按照以往类似情况的处理惯例，展示涉及领土争议的政治性标语通常会被认定为违规，相关球员或足协可能面临警告、罚款等不同程度的处罚。

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。

1、补贴后9.28万元起售，给你2米8长轴距，五菱星光S家用不香吗？

至少，那些真正关心足球本身的人不想要。

2、19.69万起！海豹08全系闪充、纯电续航905km，比亚迪：百万级体验

例如2023年发布的小鹏G6全系首发搭载中创新航电池，而且还是其独家电池供应商，为其配套磷酸铁锂和三元锂电池两个版本。

3、新华时评丨警惕小泉“狂言”背后的日本核野心

但Claude Code解决的是代码开发任务，vivago R1解决的是长链路内容创作，一个是帮你写一个软件项目，一个是帮你完成一个视频项目。《置身钉内》引发热议：7.5万字复盘一个钉钉AI旗舰产品ONE如何从300万日活走向解散乍一看是浓眉大眼的主机厂更得人心，殊不知二者甩锅的小心思也昭然若揭。

4、徐州BGM盲盒上线！第一声“咕嘟”就把我拿捏了！

季度级别的观察窗口。

5、37岁半场帽子戏法，40岁踢世界杯，被低估的大个子越老越妖

企业需求是动态变化的，单点突破能为平台化积累经验，平台化又能反哺单点场景的效率。

6、有些路，不必每一步都走得那么用力

如今各大头部乙游陆续进入运营中后期，厂商也该认清一个现实：当代女玩家的审美更成熟、底线更清晰、诉求更多元，对敷衍的内容、套路化的运营、试探红线的创作，容忍度越来越低。

这位拥有意大利血统的阿根廷人深受伊布青睐，而且他此前已执教过热刺、巴黎圣日耳曼和切尔西等多支五大联赛豪强。

如果说Coding赛道是“存量博弈”，那么视觉生成赛道就是“增量爆发”。

7、全新五菱中大型插混SUV，预售12.28万，六座布局+综合续航1260Km

值得关注的是，K3的评测成绩单呈现出一种微妙的分层领先格局。

我很了解他们，他们的整套理念和哲学这些年来发展得非常成熟，球员我也都很熟悉。

8、南品北上！7月23日，给东北老铁添点“壮山农鲜”

然而赛后，主帅图赫尔却用了"散慢"来形容球队的发挥，直言英格兰"很走运"。

每年都有学生栽进差不多的几种坑里。

这很大程度上取决于那不勒斯中场部分成员的离队情况，特别是安古伊萨和德布劳内，此外还有租将埃尔马斯。

对博睿康而言，NEO的注册证就是那张最重要的入场券。