talkSPORT记者亚历克斯·克鲁克披露，蓝军近期对伯恩茅斯的亚历克斯·斯科特提出问价，但已遭回绝。

1、kk体育 但随后就出现了补水暂停——在球员根本不需要补水的天气条件下。

上下文的共享是实现对齐的重要方式。kk体育这一步迈出之后，至少生产力场景中的真实用户会在执行任务时将Kimi K3列到自己的备选名单内。

2、中方拒绝巴基斯坦请求，亲兄弟都要明算账，不能指望中国兜底买单

国产乙游的核心竞争力，从来不是精致建模，而是长期陪伴构建的专属情感羁绊。

3、22年的等待！中国男足为何又进决赛，一数据是历史第一次

本赛季上半段，米兰一度呈现出遇强则强、遇弱更弱的状态，但从最近2个月的战绩来看，他们也不再“挑食”了，什么级别的对手都能输。

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

算力和融资层面，35亿融资能烧一段时间，但跟大厂比还是小巫见大巫。

5、脏乱差？这其实才是马拉松本来的样子

无论决赛的对手是英格兰还是阿根廷，状态逐步提升并到达火热且战术体系成熟的西班牙，都将是捧起大力神杯的头号种子球队。

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。

这并非一次偶然的伤病，而是长期过度比赛导致的神经性疼痛，这种疼痛无法通过常规治疗手段根治，唯有彻底的休息才能缓解。

6、上新

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。

一句"未来属于你们"，就够了。

7、球迷故事第一集《最近的客场》

你的下一件新球衣，会是闪耀着两颗星的红黄斗牛士战袍，还是承载着四颗星的蓝白雄鹰传奇？这不仅是关于信仰的选择，更是阿迪达斯在这个夏天留下的最成功的商业印记。

在阿莫林的3-4-2-1体系中，右路内锋位置需要一名左脚球员，具备内切射门和送出最后一传的能力，福登的技术特点恰好完美适配这一角色。

8、银行业，最难的日子已经过去！

托莫里在对阵萨索洛时第25分钟就因为愚蠢的犯规两黄变一红被罚下。

法国队全体成员没有经过混合采访区，包括德尚，包括姆巴佩。

而且跑步市场虽然盘子大、热度高，但想分块蛋糕的品牌也着实很多，除了昂跑和HOKA，特步收购的索康尼也是非常强力的对手。

9、官宣！文班亚马联手戈贝尔！首秀大战约基奇

双方伤停情况：英格兰有宽萨（停赛）、亨德森（手腕骨折）；阿根廷（无）。

亚马尔赛前公开表示，法国队应该惧怕西班牙，而不是反过来。

10、难与国企竞争！曝广厦银行账户被冻结：胡金秋被争抢 孙铭徽没人要

任何一个环节被卡住，都可能影响整台设备的生产和交付。

虽然近年来米兰在9号位的投入相当可观，却几乎全部打了水漂。

1、巴西世界杯继续“恐欧症” 从2006到2026 淘汰赛遇到欧洲球队

那时候他已经淡出阿里一线很久了，穿着深色外套、戴着帽子，混在人群里毫不起眼，安安静静看完了梅西和姆巴佩的巅峰对决。

2、平反？曝阿根廷背对领奖台是在致谢球迷 法国4年前领奖后直接离场

新帅上任后近2场保持不败，3-0击败波多黎各，0-0逼平塞内加尔，防守端的进步有目共睹。

3、火箭队内氛围有问题？队记反驳名记说法 KD：外人在挑拨离间

以下分析基于各种渠道的信息、社交媒体上的碎片、以及各网站上转会信息的整合。中国男篮落后日本10分！贺希宁10+2，王俊杰6分，杨瀚森拿不到球最该先补的，是信息差。

4、朱珠年初三给家中老人拜年，去干休所看亲奶奶，同框照好温馨

愿大家都看得懂风险，等得到机会，始终留在牌桌上。

5、格科微：高像素图像传感器产品获国际手机品牌订单

对中创新航来说，这是一场商业模式的拷问。

6、逛了趟WAIC，我只想说，AI在物理世界都快卷疯了……

虽然转会窗至今还没有正式报价，但热刺等英超球队已经传出接触意向，一旦报价符合米兰6000万欧元以上的心理价位，俱乐部不会强行留人。

然而，少数“自带产业订单、能把上游供应商直接打包搬到地方”的强产业型GP，反而成了各地国资私下暗中抢购的“香饽饽”。

马丁内斯的球队进攻手段丰富，既能打阵地战，也能打快速反击，进攻多点开花，威胁点分散，让对手防不胜防。

7、一天42条推文，管9家公司，生14个孩子，马斯克是不是正常人？

图：应用概览 然而，6月，北交所向旭阳新材发出了二轮问询函，重点关注业绩增长可持续性、销售收入真实性、流动性风险、生产经营合规性等。

据The Athletic报道，拉什福德与曼联合同中价值4000万英镑的解约条款已于7月15日正式到期。

8、所谓“中国挤压”不符合事实

对我们来说，迭戈是国家极为重要的象征。

作为绝对核心与队长，姆巴佩在赛事中交出了8球3助攻的耀眼答卷，不仅成为世界杯历史上首位在两届赛事均至少打入8球的球员，更以20粒总进球数紧追历史射手榜前列。

手握大好形势，米兰却输掉争四关键战，圣西罗再一次响起山呼海啸般的嘘声，南看台对现场观赛的红鸟老板卡尔迪纳莱破口大骂，比赛结束时，他和他的高级顾问伊布在警卫护送下冲向停车场。

据悉，切尔西队长、英格兰右后卫里斯·詹姆斯，以及罗杰斯的好友科尔·帕尔默也都参与了这次游说。