单用户单次对话可产生约10GB KV缓存，千级并发场景总量可达1TB，上万用户规模下整体缓存容量突破百TB。

1、英亚体育 本届世界杯，克罗地亚的定位球进球占比达到40%，是球队重要的得分手段。

” 张立华可能是中国最懂物理引擎的人。英亚体育在三方狙击之下，便利店需要一个楔子来打破发展困境，而新鲜零食，则是一个好的选择。

2、让1追3！郑智遥控+青岛西海岸连13场不败：气得浙江主帅咆哮怒摔

这一变化也标志着世界杯俱乐部补偿体系从“集中奖励”向“广泛覆盖”的转型，未来豪门球队需适应新的收益预期。

3、赫布斯特雷特不认同麦卡菲“低调”之说：俄克拉荷马赛程艰险到令人窒息

与此同时，米兰与法兰克福技术总监克罗舍的谈判同样进展顺利，双方已经非常接近达成协议。

4、曝曼城正谈判18岁法甲硬汉中场，上赛季42场1助攻，合同至2029年藏变数

关于他到底配不配得上巴萨、够不够格为西班牙出战、是不是该换别人上的议论。

5、2-0到2-2再到4-2！津门虎4-2拿下京津德比胜利，国安主场3轮不胜

他们的防守组织严密，纪律性极强，面对巴西、荷兰这样的强队都不落下风，特别是阿什拉夫和马兹拉维组成的边路双翼冲击力十足。

联想接棒万达成为国际足联顶级全球合作伙伴，也是FIFA国际足联首个官方技术合作伙伴。

主帅德拉富恩特打造的这支年轻球队，既有金球奖得主罗德里在中场的绝对掌控，又有亚马尔这位超级球星在边路的单点爆破，攻守兼备。

6、越卖越亏的耐克，不想再被薅羊毛了？

但这不仅限于我们两人，整个团队在短短几天内就建立了极佳的化学反应。

2023年起，滔搏先后签下HOKA、凯乐石，投资了手握Burton、Nitro代理权的雪具零售商冷山；2024年至今，又拿下Norda、Norrøna、Soar、Ciele等高端户外与专业跑步品牌的中国独家运营权，还在上海愚园路开出了一家跑步生态品牌ektos。

7、流浪者官宣签下塞尔维亚20岁国脚，麦金尼斯盛赞：潜力巨大

这种“你追我赶”却又“点到为止”的节奏，不禁让人浮想联翩。

很多人把末日期权理解为最极致的凸性，因为末日期权的价格低、Gamma高，标的稍有大幅变化，期权就可能上涨数倍，但末日期权的Theta同样很高，是以极高时间损耗和极窄兑现窗口为代价的凸性。

8、商务部披露产业链供应链合理有序跨境布局最新进展

正赛阶段的补偿标准同样发生变化。

这种对节奏的把控，对球员脚下技术和体能提出了极高的要求。

前国米主帅执掌利雅得新月后，希望按照自己熟悉的三中卫体系搭建防线，托莫里的出球能力和回追速度被认为非常适合左中卫位置。

9、活力中国调研行｜机器人造机器人，探访国内首条智能化生产线

亿纬锂能龙泉四号60Ah全固态电芯已下线。

它让“生成式AI”脱离屏幕，成为可以触摸、拨弦、感知共振的物理存在。

10、32k英里2003年法拉利360 Spider：红色经典再现，曾因事故被保险公司列为全损

亚马尔的角色很关键，他的盘带和突破能打破局面的平衡，当对方防线被压缩得很扁时，他的个人能力往往能创造机会。

库巴西在本届赛事中的表现同样堪称惊艳。

1、2026 3M公开赛总奖金880万美元 舍夫勒+275夺冠赔率领跑

卡萨多面临的最大挑战，来自巴萨中场的阵容厚度。

2、22年生涯六战世界杯，墨西哥传奇奥乔亚退役：与梅西C罗共享神迹，亲吻门柱告别

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。

3、巴尼亚亚自评赛季仅5.5分 直言后轮抓地力不足拖累杜卡迪

乙游的抽卡体系和付费逻辑，都是围绕固定可攻略角色搭建的。在自家房屋外墙安装摄像头超范围拍摄，法院：侵权3月13日，国家药监局批准博睿康子公司研发的“植入式脑机接口手部运动功能代偿系统”（NEO系统）注册申请。

4、葡萄牙输球，揪出三大“责任人”！C罗作用不大，主教练遭完爆

他有判断能力，却未必理解凸性路径，可能因为价格、时间和仓位安排不当，付出过惨痛代价。

5、九连胜期间防守效率93.7，女武神靠防守杀到实力榜第一

更为不利的是，希门尼斯在世界杯备战期间脚踝伤势复发，预计康复期长达六周，这将直接导致其错过夏窗初期的体检与合练，进一步削弱其市场吸引力。

6、实测验证：丰田GR卡罗拉悬挂和刹车可以直接装进普锐斯

去年末，华为与珞博智能联合开发的首款AI宠物“智能憨憨”，定位“心灵树洞”型情感陪伴产品，开售即秒罄。

半场结束，阿根廷仍然颗粒无收。

存储乱涨 手机厂商重新拥抱千元机背后，既有对消费市场基本盘的纠偏，同时释放出一个重要信号，下游终端厂商已经不再愿意为不断攀升的存储成本买单。

7、体育频道突设付费墙：蓝鸟光芒大战需订阅，24档节目全上锁

葡萄牙教头更倾向于在3-5-2体系下为其设定固定的中前卫或边翼卫角色。

既要挂着“扶持硬科技”的招牌享受高收益，又要拿着“债权思维”要求绝对保本。

8、熊队四分卫:我110%相信新教练，外界排名和批评不会改变一点

这位瑞士国脚同样受到亚特兰大的关注，新帅和体育总监琼托利都对他有好感，特别是琼托利在尤文图斯任职期间就想引进亚沙里。

如果哥伦比亚能够尽早取得进球，比赛可能会朝着他们有利的方向发展；但如果久攻不下，加纳的反击可能会制造惊喜。

所有人都能感知到，今年WAIC的热度超越以往。

我们已经准备好了，周六必将倾尽所有。