努涅斯的经纪人是意大利律师托马索·因扎吉，也就是著名经纪人帕斯托雷洛的得力助手，在意大利足坛有很深的人脉。

1、云开体育 本纳塞尔在萨格勒布迪纳摩的租借经历十分坎坷，本赛季的大多数时间他都在与伤病作斗争，至今只出场了14次，贡献1球2助攻。

对于经营业绩飙升，佰维存储归结为主要受益AI算力爆发与存储行业进入高景气周期。云开体育在引进希拉后，英格兰中卫已经不在阿莫林的计划之中，目前正受到沙特联、意甲、英超等多家俱乐部的关注。

2、29分惨败！北控防守倒数+张庆鹏弃用八年老臣，将帅不合摆上台面

从2024年到2026年，连续三年的三项顶级国际赛事（欧洲杯、欧国联、世界杯），西班牙都在半决赛中精准地“狙击”了法国。

3、决战天王山！承认马刺技不如人，但NBA裁判也太离谱了！

三四名决赛中4比6不敌英格兰的法国队排名第三，英格兰位列第四。

4、奕境X9被动安全配置公布 采用2400MPa超强钢车身

但这只是前菜。

5、从年薪5300万到年薪400万，詹姆斯经历了什么？杨毅揭示了答案

他在那里累计出场571次，并赢得了两座奥地利杯。

第85分钟，梅西送出直塞，恩佐·费尔南德斯一脚势大力沉的远射轰开英格兰大门，扳平比分。

"固定十七队"的格局被打破了。

6、詹姆斯确定离队！湖人连走4人，补进2名射手

真正让Play Time出圈的，是它今年2月出手，参投了李飞飞创办的World Labs的10亿美元新一轮融资，与英伟达、AMD这样的科技巨头同列股东名单。

这彻底打乱了弗利克新赛季的战术部署。

7、火箭对阵76人前瞻 申京遭遇大考 乌度卡会如何制定防守策略

不过，曼城如今改变了看法，认为布瓦迪今夏直接加盟球队、在伊蒂哈德球场发展，对他本人更加有利。

边路对决加拿大肯定占优，但戴维斯状态如何要打个问号，而且南非的防守很紧凑，不会给太多一对一突破的空间。

8、原来 Supreme 店里还卖这些牌子？很多人都不知道…

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。

验证采用电泳和测序两类实验读出：电泳用于判断组装产物是否出现预期大小的条带，测序用于确认产物的序列身份和正确性。

据悉，这是力箭一号第15次飞行，也是力箭系列第16次发射。

9、聚焦｜“正青春 羽不凡”全国体校羽毛球比赛南北两大赛区挥拍

但硬币的另一面是：一旦他们换掉兰帕德，就会变成"杀死小鹿斑比"的恶人，所有人都会盼着他们降级。

与博睿康的侵入式路线不同，强脑科技主打非侵入式路径，不用开颅，靠头皮表面的传感器采集脑电信号，核心产品包括智能仿生手、脑机接口康复训练系统等。

10、人民日报提到的三组辩证关系，我将逐字学习并用于申论大作文

1987年，37岁的王伟修东拼西凑了23万元，创办了中际装备，生产电机绕组自动化生产线。

月薪过万不是终点，也不是评判你行不行的唯一标准。

1、世预赛归来，梅西何时重披迈阿密战袍？21天休整期藏变数

” “三季度末至四季度，后续观察的重点仍然在于碳酸锂现货何时能实质性走强（关注基差何时走强），以及远期是否还维持逐月去库态势以及去库的幅度变化。

2、超市开张！降级队卖人狂赚1.5亿英镑！

” 消费者花100元买零食，大约80元先变成货款，门店留下20元毛利。

3、王大雷：以老带新就是得有代价，希望大家多给我们时间

俱乐部希望他通过训练和季前赛的表现赢得机会，循序渐进地完成向成年队足球的过渡。2026海淀马拉松开启报名随着穆里尼奥重返皇马执教、贝尔纳多·席尔瓦加盟、奥利塞也在引援名单上，18岁的马斯坦托诺已不在穆帅新赛季计划内。

4、山东的"魔鬼契约"：当命运全靠自己书写

尽管年纪轻轻，库巴西在足球场上要求最高的位置之一展现出了超乎寻常的沉稳，整届赛事都以权威姿态引领着西班牙的防线。

5、凌晨1点！CCTV5直播梅西冲击历史第一人，阿根廷赢球=小组出线

然而，2026年世界杯的淘汰赛，彻底戳破了这一幻象。

6、中国男篮VS澳大利亚！杨瀚森回归首秀，郭士强调整阵容，央视直播

不过，库卢塞夫斯基库杜斯两名攻击手因伤未能入选，将留在英格兰继续康复。

“木头姐”力挺SpaceX：或成为“全球历史上最重要的公司” 据报道，尽管SpaceX的股价已大幅跌破IPO价格，但华尔街明星基金经理、方舟投资的掌门人凯茜•伍德（Cathie Wood）依然力挺称，这家航空航天和卫星网络先驱公司有可能成为“全球历史上最重要的公司”。

目前，在得物等平台上，这双鞋价格已经跌到不足600元。

7、老大还未出手，几个小弟轮番暴揍湖人，雷管选人可真精！

面对非洲冠军摩洛哥，法国队不仅全场压制对手，更让其全场仅有一次射正，射正比8-1。

这也是光互连在这个时代成为风口的底层逻辑。

8、马来西亚大师赛，国羽小将继续制造惊喜

这背后，显然不只是足球的吸引力那么简单。

随着西班牙2-1绝杀比利时，2026美加墨世界杯的四强版图率先揭晓一半。

1986年，马拉多纳曾面对三狮军团留下传世之作——那粒连过五人的惊世进球，以及那记充满争议的"上帝之手"。

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。