25岁的吉拉正值当打之年，本赛季累计出战32场，是蓝鹰防线不可或缺的一环。

1、火狐买球 根据芯展速在WAIC展会上公布的数据，在AI90的解决方案下，Llama 3 70B模型推理，4卡5090集群吞吐量从120 tk/s提升至610 tk/s；64K上下文首Token延迟从27.99秒降至0.564秒，显存利用率从30%-40%提升至85%-95%，支持上下文从约8K扩展至128K+。

首轮对阵约旦，奥地利63%控球率却只完成11次射门，与对手持平，3个进球分别来自远射、乌龙和点球，运动战得分效率偏低，这一隐患面对阿根廷时可能被放大。火狐买球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。

2、DO：萨默维尔已经和利雅得新月签下为期四年的合同

综合来看，无论是纸面实力、大赛经验还是球员个人能力，阿根廷的胜算无疑更大。

3、锁喉拳打西班牙球员！32岁阿根廷国脚获官方表彰 网友质疑：诈伤

我们强烈的风险厌恶型，竞争厌恶型，希望有很宽护城河和容错度的生意。

4、刷新世界杯纪录，梅西感慨万千！

朗尼克还有一条不肯让步的核心要求——引援决策无需与伊布商议，他需要的是广泛而独立的拍板权。

5、波伏瓦逝世40周年，纪念一个不规矩的女孩

罗德里将金色的大力神杯举过头顶，特朗普仅仅往旁边挪了一步，鼓掌，依然牢牢占据着画面。

2022年，旭阳新材扣非净利润6037.74万元；2023年8月，公司宣布现金分红7135.30万元，分红金额比上一年全年净利润还多出约1100万元。

"夏奇拉说。

6、库里谈名人堂举办特展：能被这样的方式致敬 这种感受难以言表

展会总面积 6 万平方米，452 家国内外企业与机构参展，覆盖 eVTOL 整机、无人机、能源动力、航电系统、先进材料、低空安防、金融服务、产业园区等产业链环节。

理事会规则手册写明：“球员装备不得含有任何政治、宗教或个人性质的口号、声明或图像。

7、WTT中国大满贯国庆开赛，国乒将派最佳阵容参赛

” 他认为，从产品打磨、用户获取到最终实现商业化，需要团队具备很强的综合能力。

”他表示。

8、31岁前中超冠军与球迷互喷！回应：我被冷烟花砸 但没说脏话骂人

这套架构的设计灵感直接来自利物浦。

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。

更关键的是，托莫里的合同将在明年夏天到期，续约谈判始终没有实质性进展。

9、大格局！女排0场出的队员，赛后激情拥抱取代者，球迷点赞：大度

一边是美国前锋巴洛贡，在踩踏对手脚踝被直红罚下后，竟能凭借高层的政治施压，史无前例地获得“缓刑一年”的特权，堂而皇之地继续踏上淘汰赛的草坪；另一边，则是英格兰后卫宽萨，因一次亮鞋底的飞铲被直接红牌罚下，不仅没有等来任何宽恕，反而被重罚禁赛两场，且连上诉的资格都被无情剥夺。

无论最终是否登场，德布劳内对比利时足球的贡献早已载入史册。

10、山东男篮回主场再战上海，这样打有望争胜

值得一提的是，甘肃瑞光还因此起诉了临夏市政府，后续又和解，但未有最新的进展。

在这场半决赛中，西班牙队用极致的传控和密不透风的防守以及精准传控，完美拆解了法国队的防反体系。

1、曝周鹏有望新赛季有望重返广东男篮！未来或成为杜锋接班人

从外部看，竞争对手正在疯狂追赶。

2、阿斯顿维拉先租后买签下加纳乔，切尔西与维拉暗藏PSR双赢策略

更近一些的卡塔尔世界杯，直接把恩佐·费尔南德斯的身价推到了切尔西掏出的1.2亿欧元附近。

3、国际青训计划选拔营现场直击！谁能在体测与对抗考核中脱颖而出？_网易订阅

巴塞罗那依然是阿尔瓦雷斯心目中的首选，也是目前最热门的下家。OPPO K15评测：大电池+IP69防水 高温户外不卡顿这对阿森纳来说是个利好——但在球队还有其他转会需要推进的情况下，这笔交易所涉及的财务压力依然巨大。

4、伊朗一声令下，全面大战正式爆发！美国提和谈欲收场，时间晚了点

当34岁的萨迪奥·马内站在达喀尔的发布会上，用饱含深情的目光环视这片他深爱着的土地时，一个时代悄然画上了句点。

5、罗马诺：切尔西将签美国边锋弗劳尔斯，他将在年满18岁后从达拉斯加盟

和恩昆库相比，莱奥的优势在于边路冲击力和拉开宽度的能力，持球推进、一对一爆破是米兰破密集防守的核心武器。

6、开营

“我的工作经常都需要加班，晚上回到家连个活物都没有。

其次是阵地战破密集防守办法不多，球队过度依赖梅西的个人突破与定位球，进攻手段单一。

即便如此，由于同样高达449亿美元的季度Capex导致的负现金流，Alphabet的股价也未能幸免，次日下跌超过7%。

7、联合利华旗下炫诗遭遇集体诉讼，被指隐瞒致癌成分健康风险

托特纳姆热刺、切尔西和阿森纳都在酝酿今夏签下曼联前锋拉什福德 这位28岁的英格兰国脚预计仍将在转会窗离开老特拉福德，不过也有消息称，曼联新帅迈克尔·卡里克希望先在季前赛中考察他的状态。

场均22.5次解围、10.2次拦截的数据，足以说明澳大利亚的防守强度。

8、主场输球怪特朗普，黑锅不能乱甩，马刺赢球靠自己+尼克斯内讧

这一突破意味着，这位34岁的德国国门即将飞赴阿姆斯特丹接受体检，只待巴萨方面最终确认，就能完成这笔为期一个赛季的租借。

从技术特点看，霍伊别尔是典型的位置型后腰，防守覆盖面积大，出球稳定，与莫德里奇或拉比奥搭档可以形成功能互补。

粗略估算引援投入，拉莫斯约7500万、吉拉约3000万、左翼卫约5000万、中场约5000万、前腰约4500万，总计约2.5亿欧元。

其次是阵地攻坚能力有限，面对密集防守时手段相对单一，更多依赖边路传中找高点。