积分榜形势 两轮战罢，B组格局逐渐清晰。

1、英亚电竞 对于实控人的资金实力情况，向公司拆借款项存定期以获取利息收益较为牵强，该500万是否具有真实对应关系，不排除该从公司获取的500万最终流向客户或供应商的可能性。

若他们在季前赛的表现符合阿莫林的要求，留队可能性将上升。英亚电竞目前市场对7月加息概率的定价约34%至38%，对9月加息的定价高达82%。

2、气象台不敢报40℃？回应来了！

在球队失利、球迷情绪低落的敏感节点，发布个人高光时刻的旧照，无论初衷是单纯的纪念还是内心的自我慰藉，都不可避免地会被贴上“不合时宜”的标签。

3、国米有意热刺中卫；克洛普上任德国队教练；铁锤边锋是曼联备选

据月之暗面B端业务负责人黄震昕披露，API调用收入已占整体收入的七成以上，公司彻底告别早期依赖C端个人订阅的单一模式，进入高黏性、高复购的B端规模化变现周期。

4、裙子+玛丽珍鞋、背心+阔腿裤，今年夏天最流行搭配，谁穿谁好看！

两队唯一一次在大赛淘汰赛中相遇，是在2016年欧洲杯的1/8决赛。

5、烟台港联动企业 构建铜硫循环新链条

乐事品牌代言人宋雨琦、王鹤棣惊喜现身，与球迷们分享了自己的观赛日常，更是与现场观众热情互动，乐事不停。

决赛中，当梅西试图找那些折磨了整整一代人的空间时，库巴西就贴在他身边，寸步不离。

该系列以「形随意动」为理念，将先进功能科技融入简约外观之中，适配城市与轻户外场景的多场景穿着需求。

6、为什么说“练胸”真的很重要！Nature最新：胸肌不是关键，藏在胸口的这个器官，或决定寿命长短、抗癌成败

” 还有人打趣说：“乔丹，就这一回，咱能不能给姑娘安排一架私人飞机？”摩根·罗杰斯在斯坦福桥落笔签字后，阿森纳是否会反手截走切尔西的下一个重要目标？转会专家罗马诺给出了答案。

从球队身价与最终成绩的对比来看，本届世界杯的残酷与真实被展现得淋漓尽致。

7、【青岛市进出口企业商学院 X 骆仁童老师】“龙虾赋能外贸——打造你的 AI 跨境团队”实战课圆满收官！

阵容深度对比：东道主均衡VS太极虎三核驱动 墨西哥目前FIFA排名第15位，全队身价约2亿欧元，整体阵容呈现均衡化特点。

罗德里与曼城的现有合同将在明年夏天到期，曼城方面一直希望尽早完成续约。

8、凯恩73球8助攻！可也远不如82球34助攻、历史第一的梅西！

对于米兰而言，尽早锁定欧冠资格将成为抢人的关键筹码。

它没有提供什么新办法，却完成了一次重要的叙事转换：你不是落后于人生进度，只是还在航行。

而2026年的新范式，就叫超节点。

9、央行：将在7月29日至7月31日、8月3日开展隔夜逆回购操作

展期将举办 80 余场专业论坛与互动活动。

我们的打法有所不同，更依赖攻防转换，不过明天我们也希望能拿到球权，让他们踢得不舒服。

10、频道互换！京津德比改为CCTV5直播，山东体育和QTV4聚焦齐鲁德比

两队爆点看梅西和亚马尔，前者老当益壮，后者少年英雄。

如果不是赛程在关键时刻送来了阿斯顿维拉这个"完美对手"，结局可能更加不堪设想。

1、1夜8大转会！桑乔愿降薪回归多特，奥利塞希望今夏加盟皇马！

我见过拿了高薪实习的同学，三个月瘦了十斤，半夜在朋友圈发"撑不住但又不敢走"。

2、西班牙VS法国赛后评分：姆巴佩5.7，迪涅5.4，波罗获最高分

最后2轮，5支球队将竞争3张欧冠入场券，形势已呈白热化。

3、别乱滴药！这种你以为的“红眼病”，可能是会致盲的“葡萄膜炎”

两队历史上共交手4次，埃及2胜1平1负稍占上风，但双方的实力差距其实并不大。特朗普：拿伊朗资金赔随后，伊劳拉转战西乙球队米兰德斯，在那里锻炼1年后转战巴列卡诺，带队首个赛季就率队成功冲甲，随后2年都获得西甲第12名。

4、原本只是想压价，舆论让央视进退两难！不买版权或造成更大损失

意甲第38轮爆冷不敌卡利亚里的次日，米兰官方发布重磅公告，红鸟财团一口气辞退了主教练阿莱格里、CEO富拉尼、体育总监塔雷、技术总监蒙卡达4人。

5、有时候，最好的治疗是减少治疗

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。

6、长安汽车：间接控股股东拟提供9亿元委托贷款，投向芯片国产化等项目

球员从小接受高位压迫式足球熏陶，主帅朗尼克又是现代高位逼抢战术的奠基人之一，这支奥地利队深深打上了他的红牛系烙印。

A股会不会跟，是上市首日最大的悬念。

据俱乐部透露，弗里克在首周训练中会将体能储备作为重点，但所有环节仍将围绕有球训练展开。

7、4外援比拼！王峤首秀，申花海牛首发出炉，刘军帅颜卓彬首次先发

1986年，马拉多纳曾面对三狮军团留下传世之作——那粒连过五人的惊世进球，以及那记充满争议的"上帝之手"。

镰田大地今年29岁，出道于日本J联赛的鸟栖砂岩，2017年就登陆欧洲，加盟了德甲的法兰克福。

8、“粉色衬衫”永不过时！从18岁穿到80都好看

阿森纳的季前训练下周就要开始，按照惯例，萨利巴因参加世界杯将获得三周假期，但如今伤情可能让他缺席更长时间。

这个进球，无关比分，却赢得了人心。

交割完成后，太洋科技将成为上市公司控股股东，蒋加富、蒋世城父子接棒成为新实控人。

澎湃新闻的实测则给出了更冷静的补充，K3 在“审美直觉”和3D生成上有明显优势，但速度是最大短板，同一场景生成时间约为 GPT-5.6 Sol 的2到3倍。