马竞虽不愿出售，但目前更倾向于与非西甲对手做交易。

1、ob体育 他是一架飞机，但他撞上了另一架——不，是好几架。

其中，馥马尔香水出版社（Editions de Parfums Frédéric Malle）经典作品“肖像”入选“香水名人堂”；汤姆福特（TOM FORD）“绯境乌木”摘得 “年度顶奢香水奖”；祖·玛珑（Jo Malone London）“伊甸之果”荣获 “年度最具声望中性香水奖”。ob体育这位2008年出生的中场是红黑军团青训出品的重点培养对象，他在预备队踢了一年后，直接跨过米兰未来队进入意乙锻炼。

2、宇树王兴兴：机器人会翻跟头了，真正干活还要等多久？

" 萨利巴在法国队的八场世界杯比赛中首发了六场，仅缺席了小组赛末轮对挪威和三四名决赛对英格兰。

3、真爱！费德勒：纳达尔比德约伟大 他能再打好多年

相比之下，2028年美洲杯离他更近一些。

4、曝詹姆斯阵营对萧华推动感到“恼怒”，决定推迟最终去向宣布

传统大模型推理是“一次请求、一次回答”。

5、CBA最新消息！广东宏远新主帅确定，超级外援加盟浙江男篮

这种神经性疼痛是极其折磨人的。

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。

玩家看到的真相很直白：不是没有研发产能，而是厂商不愿把资源耗费在收益极低的老角色补全上。

6、中国女篮遭遇绝杀！输球不可怕，可怕的是需认清3个事实

预测葡萄牙2-1小胜克罗地亚成功晋级，次选1-1。

产业升级的大方向，就是淘汰那些安全管理跟不上、内控漏洞百出的企业，让真正规范运营的公司获得发展空间。

7、索尼的“大画幅”电影机要来了！盘点一下目前电影机传感器有多大

中国青年数学家王虹、邓煜获奖。

房价上涨很明显缺少工资增长支撑，大量浮动利率贷款可能在两年后重新定价。

8、跑步10公里配速546，跑步PB就应该很轻松！

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。

另外，7月16日，新的电池消费税政策出台，明确目前免税的电池产品中，锂电池等产品自9月1日起调整为减半征收电池消费税，税率2%；2027年9月1日起调整为全额征收，税率4%。

这场决赛的含金量，从一组数字便可见一斑：两支球队合计拥有四座世界杯冠军——西班牙一座，阿根廷三座。

9、夏训进行时

考虑到双方防守都很出色，常规时间可能难分高下，平局的可能性不小。

如果Kimi K3足够强，就可以将发布时的热度，变成阶段性的持续调用、订阅和组织采购。

10、莫德里奇将为AC米兰再战一个赛季

因为面对Kimi K3，企业和开发者都会直接评估是继续用OpenAI、Anthropic的模型，还是用来自中国的开源模型。

霍伊别尔的合同到2028年，但马赛受财务公平法案限制，需要通过出售球员筹集资金，这为米兰创造了操作空间。

1、连接赛场与生活，圣象重构「双主场」价值

恩昆库首发的13场联赛（仅统计前锋进球），与莱奥搭档8场，两人合计攻入4球；与普利西奇搭档2场，攻入3球；与洛夫图斯-奇克搭档同样攻入3球（对阵博洛尼亚和比萨）。

2、马宁回应世界杯只执法一场比赛：这是我们决定不了的事情，不要自我制造焦虑，那场比赛完成得非常好，展示了我们中国足球裁判应有的风采

定位球是阿根廷的重要得分手段，在强强对话中往往能起到决定性作用。

3、另类“留洋”！徐杰赴美征战德鲁联赛 以赛代练志在提升短板

但新用户不会永远这样理解产品。卡洛斯-奥古斯托：国米目标不变，我们想再去赢得一些奖杯华为实习工资上热搜，可真正该慌的，不是没拿到那张 offer 的人。

4、辛纳温网卫冕，成就兹维列夫全满亚！

资金从当期利润和现金流转向厂房、设备、产能与基础设施，相关折旧、研发和供应链成本会在收入形成前先进入报表。

5、巴埃纳打破沉默，驳斥自己冷落西班牙首相佩德罗-桑切斯的说法

以前大家会讨论，是否应该把所有数据都放在SSD里，但实际上这种方式并不可能。

6、1换5，我看不懂但大受震撼！30队最下头操作，没有之一！

2026年的一些播客已经开始把“回归线下”“真正在场”放进节目议题。

核心是将量化做到极致：从模型参数优化、硬件适配到场景化训练，通过自研非传统Transformer架构、定制化奖励函数与强化学习算法，实现低成本推理。

在世界杯这样漫长且充满变数的赛会制比赛中，战术的契合度、团队的凝聚力以及面对逆境的韧性，往往比转会市场上的身价数字更能决定一支球队能走多远。

7、杜锋合同到期，徐杰征战德鲁联赛，广州要求重新沟通徐昕租借问题

按照最初的计划，俱乐部将马丁内斯视为第一人选，并预期世界杯结束后谈判会变得更加顺畅。

这笔钱去哪儿了？答案写在马斯克的蓝图里：Cybercab生产线、Optimus人形机器人、AI训练算力，以及那座雄心勃勃的自研芯片工厂。

8、跑圈防晒天花板！雪肌精xKeep联名挑战邀你“膜”力开跑

换句话说，各方关注的不再是"能不能成"，而是"什么时候成"。

醉翁之意不在酒：请愿网站暗藏的“GOAT”修罗场 如果说“逐出阿根廷”是表象，那么该网站在请愿页面下方附带的“谁是GOAT”投票，则彻底暴露了这场风波的深层动机。

没有中场的有效输送，再锋利的矛也只能在禁区外徒劳折返，犹如长矛断了头，就是一根擀面杖，毫无杀伤力。

本届世界杯上，他作为中场主力帮助阿根廷队闯入了半决赛。