小组赛三场球，南非把这套战术玩到了极致。

1、leyuapp 沙特方面状态呈明显上升趋势。

拓竹未来或许能够凭更高的出货份额和更大的收入规模获得溢价，但从创想三维上市开始，市场不会再只为产品口碑和增长故事定价：收入结构、利润质量、现金流和增长持续性，都会被放到同一张表里比较。leyuapp此外，克罗地亚的韧性极强，擅长落后追分和加时鏖战，过去两届世界杯的出色表现就是最好的证明。

2、新英格兰革命即将签下利兹联边锋哈里森，他将以指定球员身份加盟

面对如此丰厚的报价，29岁的拉菲尼亚始终态度明确：留在巴萨，留在弗里克麾下，继续踢西甲和欧冠。

3、记者：曼联将派人去马德里谈判，价格合适皇马就会出售琼阿梅尼

7.17 WAIC UP！AI三极夜话 现场照片 困局：“赚钱难”是共识 尽管 Jobright.ai 的年经常性收入（ARR）已超过 700 万美元，并已实现盈利，正在向 1000 万美元 ARR 的目标迈进，郑玉典依然认为：“赚钱难是 AI 创业的本质问题之一。

4、钧正平发声：菲方的激将法干扰不了中国的节奏，即使菲方拉来美西方国家撑腰，大声鼓噪，也不能改变南海地缘政治的现实

按区域市场划分：亚洲2026上半财年营收5.929亿欧元，同比增长19%。

5、35k英里1983年奔驰240D现身拍卖：保留原始车主至2017年，无底价

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。

北京君正预计2026年上半年实现营业收入39.89亿元，同比增长77%；归母净利润10.79亿元至12.82亿元，同比增长431.03%-531.34%；扣非净利润预计10.49亿元至12.53亿元，同比增长551.97%-678.58%。

市场普遍预计全年碳酸锂中枢将在12至16万元/吨区间。

6、越南上半年GDP增速超8%，会超过泰国成东盟第二大经济体吗？

他的原话毫不含糊：“1亿欧元的报价我们没有接受，1.5亿乃至2亿的，我们同样不会接受。

米兰近6轮比赛累计打进3球、丢掉9球，只赢过维罗纳，赢球时本就磕绊，一旦落后便很难追回，直接把最后一层容错空间打没了。

7、圣海伦斯主帅罗利赛前突然辞职，球队即将对阵维冈勇士

乐园正在推进的二期设计规划目前已经确定了星星人和SKULLPANDA两个IP，就是乐园与IP团队多轮沟通后选定的。

荣耀新Logo正式官宣 7月23日，荣耀终端股份有限公司CEO李健在社交平台公布，荣耀启用全新品牌图形标识 “荣耀之环”，并发布全新品牌主张 “敢想，敢不同”。

8、张帅不敌TOP9止步次轮，但温网知道，37岁的她从未失去对胜利的渴望

现年55岁的瓜迪奥拉被广泛视为当代最杰出的主教练之一。

联合利华第二次重磅亮相，重点展示了AI赋能包装创新的最新成果“AI for Packaging”。

这正是算力服务和算力供应链之间的分水岭。

9、邵阳市“企业服务年”集中走访周启动

最直观的问题在于球员年龄，希腊小将尚未年满19岁，直接将其放到意甲豪门的核心前腰位置上，能否适应比赛强度与战术要求存在巨大不确定性。

现实总是有些荒诞，但同样的情况出现在一家企业身上就不寻常了。

10、英格兰球迷在美国“无可挑剔”，英国本土足球暴力却火箭式激增

主帅斯帕莱蒂也向管理层提出明确要求，他需要一名左脚中卫与凯利形成轮换，同时如果布雷默离队，还需要再进补一名中卫，托莫里和托迪博是可能的人选。

阿莱格里对拉比奥特欣赏已久，有意将这位法国中场带到自己即将执教的球队。

1、法挪晋级！F组果然是世界杯“死亡之组”：3队集体团灭，无一幸免

《零售圈》此前在一线市场调研时发现、每一天、唐久、美宜佳等中国本土便利店纷纷加码餐饮，“一日五餐”等理念的门店践行，也折射出便利店面对行业承压求变的积极探索，再加上7-Eleven加码新鲜零食，可以看到，便利店在接下来的竞争中，核心将不再是“便利”和“快”，而是“鲜”和“体验”。

2、1984款福特F-350 XLT柴油皮卡，装ATS涡轮，72k英里无保留价

法国队无疑是本届赛事中最令人胆寒的进攻风暴。

3、中超第7轮裁判选派：麦麦提江执哨辽宁德比，金哨李海新在列

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。温网男单半决赛明天7月10日赛程：辛纳PK德约，兹维列夫PK黑马华尔街对巨头「修改折旧周期来增加利润」的方式，也开始不满。

4、6900 万终极补强！曼联锁定全能神翼！完美融合阿马德 + 姆贝莫

加拿大作为东道主之一，小组赛与瑞士、波黑、卡塔尔同组，最终以1胜1平1负积4分的成绩排名第二晋级。

5、伊布发问：如果这样的梅西都拿不到金球奖，还有谁配得上？

在这个充满变数的转会窗，利物浦曾痛失萨拉赫与科纳特，但索博斯洛伊的续约，无疑是定海神针般的存在。

6、北京一凶宅952万元拍卖，1人报名但未出价

另一个有名气的目标是波切蒂诺，但阿根廷人与美国国家队有合同在身，今年夏天还要参加作为东道主的美加墨世界杯。

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。

直至2026年上半年，公司净利润再度回升至42亿元区间，业绩随锂价剧烈波动的特征尽显。

7、快快评｜游乐设施不能只重体验不重安全_网易订阅

深耕场景是验证需求、打磨产品、获取利润的起点；而拓展平台则是复用能力、放大规模、迭代技术的必然路径，其核心逻辑始终围绕着如何更高效地交付可落地的业务结果。

" 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。

8、禁止以代为投资、理财，或赠送干股、挂名取酬等形式向公职人员或其亲属输送利益，海南省政商交往“正负面清单”发布

最后是赔率衰减期：故事被广泛传播，价格已经包含大量乐观预期。

德尚被迫做出调整，换上拉克鲁瓦修补防线。

2016年11月，礼来最具潜力的阿尔茨海默病抗体药物Solanezumab，在2000名患者身上几乎没有产生任何效果，宣告三期临床失败。

截至22日美股收盘，谷歌报收342.09美元/股，下跌1.46%，市值为4.18万亿美元，市盈率（TTM）17.16倍。