少打一人，西班牙又不断施压，阿根廷只能苦苦支撑。

1、高比体育 球迷们的热议一针见血：上半区的法国与西班牙，已经凭借极其稳定的表现，成为了本届赛事最接近大力神杯的球队。

“网约车之王”的招牌是靠几十万司机的里程跑出来的，但信任的崩塌，往往只需要一颗鼓包的电池。高比体育法国首发进攻四叉戟赛后评分全部低于7.0分足以说明问题，世一锋姆巴佩更是只有6.1分，法国踢西班牙，好比皇马踢巴萨，姆巴佩找不到北，奥利塞直接成“灾难”。

2、系统研究三星堆-金沙玉器《巴蜀玉器》填补相关研究空白

哈弗茨担任伪九号频繁回撤接应，依靠边锋内切和中场后插上形成多点进攻，首战6人进球印证了这一战术的成功。

3、第19轮前 ！上海双雄排名都在第10名之后 申花是第11名 海港是第12名

一个进球治不好焦虑。

4、粤BA火热出圈，“最强主场”浮出水面，凭什么？

受AI服务器疯狂抢夺晶圆产能影响，LPDDR4/5内存在2026年第二季度价格较2025年底暴涨约2倍。

5、被年轻人的奶茶袋“邪修用法”折服了！换个思路，竟然高级又好用

在实际的应用落地中，客户基本不会替换原有硬盘，都是用于新增需求，只是比以前的成本降低了，他们希望更好地实现降本增效。

杨晓煜认为To B的核心不是“简单粗暴砍人头”，而是“提效增收”。

美伊冲突持续升级。

6、近百名玩家涌入具身数据：一年融资44.7亿，谁能真靠卖数据赚钱？

阶跃星辰董事长印奇有一个精准的比喻：“在旧系统上给智能体开一扇门，它永远是访客；为智能体盖一座专属运行环境，它才能成为真正的原住民。

对用户而言，人机交互将从“以应用为中心”走向“以智能体为中心”。

7、1-1！巴西惊险战平，维尼修斯爆射破门救主，拉菲尼亚错失良机

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。

这位中场大师虽然年事已高，但他的控球、调度、传球视野依然是世界顶级水平。

8、乘联分会：6月皮卡市场销售6.2万辆，同比增长29%

主教练阿莱格里承受了很大的压力，其中外部压力质疑他的战术安排，这导致对阵乌迪内斯“顺应民意”变阵4-3-3，最后主场3球完败。

温格在阿森纳最鼎盛时期都没能实现卫冕。

前两者是阿莫林在葡萄牙体育的旧部，丹麦人尤尔曼司职防守型中场，拦截能力强，出球也不错，是典型的6号位球员。

9、学生党闭眼冲！拍段视频就能拿官方证书和盲盒，还有隐藏福利

在竞技体育的残酷世界里，当冠军梦碎，用一场华丽的对攻来弥补遗憾，用打破纪录来证明个人价值，何尝不是另一种形式的“全力以赴”？ 10球大战，4项历史纪录，这场季军战或许没有决赛的窒息感，但它用最直接的方式告诉我们：即便是在“无人想踢”的角落，只要球星还在，只要纪录还在，足球的魅力就永远不会褪色。

Pitchbook数据显示，C罗以个人名义投资的创业公司已有10家，2022年之后，他大致保持每年出手3家左右的节奏。

10、经济强省“半年报”：安徽重返前十，川豫一线之隔

无论是谁在这场半决赛中胜出，都极有可能将夺冠概率推高至80%以上。

彼时，全球运动品牌普遍开始强调DTC战略。

1、《置身钉内》后续：24小时，阿里钉钉换帅，无招卸任

” 选址只是开始。

2、关于燃气业务临时停办的通知

对李氏家族而言，此刻套现无疑是性价比最高的选择。

3、纪检监督护航渔都小镇配电工程建设“加速跑”

美国的亚特兰大之夜，三狮军团在1比0领先的大好局面下，被阿根廷人终场前连灌两球，恩佐·费尔南德斯和替补登场的劳塔罗·马丁内斯联手完成了逆转。绍兴网友：公司厕所脏到干呕，想离职有错吗？求评理！K3的API定价也同步对标海外旗舰，输出价格100元/百万tokens，较上一代 K2.6 的27元上涨超3.5倍。

4、NBA夏联半决赛对阵：湖人vs勇士 灰熊vs火箭 湖人唯一4战全胜

从营收来看，特斯拉在Q2 给出了近年来最好的交付成绩，以及高达 26% 的同比营收增速，而且实现了汽车、储能、服务三大板块全部增长；但是从利润来看，特斯拉的Q2 表现可以用「塌方」来形容，令人大跌眼镜。

5、上半年消费成绩单：三省社零超两万亿，京沪居民“能赚会花”

目前进展最快的是阿尔马达，河床接近买下他一半的所有权。

6、急拆可灵，快手的估值战争

另一笔操作是瑞士中场亚沙里，米兰为他向布鲁日支付了3600万欧元。

但当技术走到规模化的大门前时，近十年的差距将会产生决定性影响。

戈登向来以冲刺和直接突破著称，但这次展现的是另一种能力——在最恰当的位置出现，把半个机会转化成进球。

7、广东男篮启程前往北京！杜锋带上21岁小将，宏远老板开出巨额奖金

在西班牙锁定决赛席位后，库巴西谈到了这一成就对全队的意义。

它们有成长性，HBM的利润比通用DRAM厚三倍。

8、同心同行 智汇发展

墨西哥作为东道主之一身处A组，面对南非、韩国、捷克三战全胜零失球排名第一晋级，展现了强大的防守实力和稳定的进攻效率。

数千亿美元砸下去，买的是什么？不是单张显卡，而是一个个“超节点”。

米兰与科内的经纪团队之间已经完成了初步的试探性接触，不过球员当前的首要任务是帮助萨索洛顺利收官，并随加拿大备战世界杯，转会要等到7月再做决定。

它向世人证明：亡羊补牢，犹未晚矣。