托莫里能否在尤文与老搭档卡卢卢重聚，我们拭目以待。

1、乐鱼电竞 小组赛三场球，南非把这套战术玩到了极致。

奥利塞在世界杯上送出最多助攻，身价上涨2000万欧元，以1.7亿欧排在第四。乐鱼电竞从上游锂盐到下游电池，产业链多数企业实现同比大幅增长。

2、东北新发地河蟹大市场项目稳步推进

在世界杯这样高密度的赛程中，体能将是克罗地亚面临的最大考验。

3、跨时代对决！39岁梅西VS19岁亚马尔，巴萨新老10号决战美加墨！

俱乐部向我展示的规划，以及大家为把我带到这里所付出的努力，对我意义重大。

4、滔搏的“天花板”：再能干也还是渠道商

他知道应该找什么，却不知道一条凸性线索怎样从投研报告走进真实价格。

5、扫码秒辨真伪！北京海淀严查“黑导游”

单颗芯片的性能快到天花板了。

据《福布斯》今年6月的统计，过去12个月C罗以3亿美元总收入登顶全球运动员收入榜，个人身家估值达12亿美元，正式跻身“十亿美元俱乐部”，与梅西、詹姆斯、伍兹并列现役运动员中仅有的四位亿万富豪。

米兰与尤文的比赛进行到第74分钟，莫德里奇在中场与洛卡特利争抢五五开的球权时，两人头部发生剧烈碰撞。

6、Alphabet云积压订单同比激增520亿美元，分析师：AI投资烧钱但终将创造长期价值

这也是这座「小」乐园独特的呼吸感，它镶嵌于城市中心，不仅仅是IP构建的世外桃源，而与城市居民的日常生活紧密相连，并逐渐积累更多公共回忆，成为城市文化的重要组成。

本场比赛他的表现并不出彩，但那种随时可能在一瞬间决定比赛的危险气息始终存在。

7、世界杯三四名决赛，英法大战即将上演最纯粹的对攻盛宴！

伊布主张让斯洛特担任主教练，普拉内斯担任体育总监，而卡尔迪纳莱则青睐朗尼克和格拉斯纳的路线。

在贝尔萨的执教下，球队先后战平沙特阿拉伯和佛得角，末轮又0比1不敌西班牙，最终惨遭小组淘汰。

8、世界杯看台群星云集，唯独81岁米卢，戳中中国球迷心底遗憾与感恩

巴塞罗那追逐胡利安·阿尔瓦雷斯的转会拉锯战仍在继续。

第二，推进现实问题的解决需要AI能操控和影响现实世界，代码是能实现这一点的语言。

这位巴萨球星恰好完美契合这一要求。

9、李峻任中国电子信息产业集团董事、总经理、党组副书记

一边是摧枯拉朽、进攻火力冠绝全球的高卢雄鸡法国队；另一边则是固若金汤、创下连续零封纪录的斗牛士军团西班牙队。

所以你看，放眼AGI未来，从图像到视频，从视频到空间，从空间到动作，再到反馈闭环，AI正在从“模拟世界”走向“预测世界”，最终走向“重构世界”。

10、文明培育丨在大连过暑假，阅读、看展、学技能！

未来几年我最看好的规模化AI行业包括：制造业数字孪生、智能交通、自动驾驶、AI视频生产、智能机器人，这些领域都高度依赖持续增长的数据资产。

勤笑公表示：“我认为我已经给了米兰我能给予的一切。

1、“人老先老腿”，4个动作每天5分钟，膝盖舒服了，腿脚轻...

预测英格兰2-1阿根廷晋级决赛，次选平局进入加时。

2、火箭3换2交易，收获超预期！次轮状元签捡漏，斯通选秀眼光太犀利

另外，拉莫斯本人的意愿也很重要，他是愿意去米兰接受新的挑战，还是更倾向于留在巴黎竞争位置，或者去其他更有竞争力的球队，这些都是未知数。

3、6队过关！广州海珠醒派4-0泉盛山大，4支粤字号争进中冠总决赛

愿大家都看得懂风险，等得到机会，始终留在牌桌上。李新翔近期状态不俗！为何邵佳一就没考虑让他进国足，引发热议有太多的感触，太多的情绪起伏。

4、女人不管多大年纪，都可以准备一条格纹裙，大方优雅又复古

托莫里的潜在下家目前尚未确定，英冠升班马考文垂曾表达兴趣，但遭到球员团队拒绝。

5、下月起，大批医学分会将被裁撤！

当AI浪潮席卷全球，它选择主动转身，在2021年便前瞻性地布局AI，为当前成为AI文娱领军企业地位打下了基础。

6、人人都想当C罗，殊不知葡萄牙只有一个船长

进攻端，澳大利亚主要依靠两种手段：一是定位球头球，利用苏塔的身高优势在角球和任意球中寻找机会；二是快速反击，断球后直接长传找边锋，利用速度冲击对手身后。

归结到一个逻辑：特斯拉正在用汽车业务的利润，供养未来业务的投入。

下半场开场一分钟，阿根廷两次传球失误，本该被阿莱士·巴埃纳惩罚，可他和上半场的奥亚萨瓦尔一样，只把球送进了马丁内斯的手套。

7、泽连斯基：乌计划与雷神公司联合生产“爱国者”导弹

商务部：中美正就降税安排征求意见并将尽快推动实施 7月23日，商务部外资司司长孟华婷在国新办新闻发布会上回应中美双方成立贸易理事会、投资理事会进展的有关提问时说，目前，中美双方经贸团队正在就贸易理事会架构、职能、运行模式等具体安排保持密切沟通，并探讨推进各自300亿美元规模的对等降税框架安排。

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。

8、水位回落！我市持续筑牢安全堤

314Ah电芯价格半年涨超25%，AIDC储能需求几何级爆发，技术壁垒正在接管行业座次。

当面对战术执行力极强的对手时，巴西队往往陷入各自为战的困境，加上新帅安切洛蒂过于保守，踢北欧球队挪威竟然放弃传控，只有三成多的控球率，自我否定桑巴足球哲学，最终止步十六强，创下了36年来的最差战绩。

尤其是第二轮对阵刚果，哥伦比亚全场控球率64%，射门20次射正9次，完全压制了对手，只是终结效率偏低，最终只收获一个进球。

那不仅仅是狂喜的宣泄，更是一位老将对足球最纯粹热爱的极致流露。