周日在堪萨斯城进行的四分之一决赛中，他们历经加时苦战才淘汰十人应战的瑞士。

1、Kai云体育 “给了，他不一定能给你选个好位置；不给，就怕他给你添点麻烦，比如在你门店500米内，再安排一家，抢你客流。

他说："我认为进球是最不重要的。Kai云体育面对周期下行压力，天齐锂业并非毫无应对底牌。

2、YouTube称已经制定Vision Pro原生应用计划

同样效力莱比锡、同样进入各队雷达的还有安东尼奥·努萨。

3、“蛋白粉里没蛋白”：达开生物蛋白粉九成碳水，借瑞琪奥兰名义销售遭品牌方否认

转变始于他重新学会了享受踢球，而不是把每一场比赛都当成对自我的又一次审判。

4、12999元起，安卓首款“阔折叠”来了！

明星嘉宾亲自送出的乐事限定福利更是让欢呼声此起彼伏，将现场氛围不断推向高潮。

5、湖人得到凯斯勒！4年1.3亿先签后换！大中锋终于来了

巴菲特在2008年金融危机中投资高盛就是类似的凸性投资。

美加墨世界杯K组第二轮即将打响，葡萄牙将在休斯顿体育场迎战首次闯入世界杯正赛的乌兹别克斯坦。

以当前主流的AI加速芯片为例，采用Chiplet架构+3D堆叠封装的产品，相比同制程的单芯片方案，算力可以提升2-3倍，数据传输带宽提升5倍以上，同时整体成本降低40%。

6、16年后大力神杯回马德里，这届年轻人踢明白了

对李氏家族而言，此刻套现无疑是性价比最高的选择。

根据最新消息，他们已经与法兰克福的克勒舍达成了全面的口头协议，这位德国足球界最受推崇的体育主管之一，曾挖掘格瓦迪奥尔、奥尔莫、埃基蒂克等一批潜力新星。

7、无线控不旗舰 谁说的？

图：礼来营收一览 但Ricks身上有一个最显著的优点：行动迅速。

不满意，再敲一段prompt，重新“开盒”。

8、10秒就能抽 IPhone 17 Pro！36氪企业全情报小程序福利抽奖来了！

加纳与英格兰、克罗地亚、巴拿马同组，这是一个名副其实的死亡之组。

核心球员大多效力于欧洲五大联赛，最大牌的球星是阿方索·戴维斯，这位拜仁左后卫身价7000万欧元，是球队的绝对核心。

姆巴佩在场边那尴尬的笑容，似乎也在诉说着法国队上半场的漫不经心。

9、哈登也是全能战士，他能像詹姆斯那样，达成3万分1万板1万助吗？

足球与政治的边界，再次引发深思 阿根廷球员的这一举动，再次将“足球与政治的边界”这一老生常谈的话题摆上了台面。

这并非单纯的纸面实力堆砌，而是天赋、默契与战术体系完美融合的必然结果。

10、戴杯德约双打丢3赛点憾负 纳达尔助西班牙进4强

当时，刚刚犯规的帕雷德斯情绪已经十分激动，队友德保罗也处于爆发边缘。

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。

1、切尔西介入引身价暴涨，19岁新星标价3500万欧，意甲四队更难了

" "阿尔瓦雷斯的合同中存在条款，特定欧冠俱乐部可以低于5亿欧元违约金的价格签下他。

2、终场哨响！帕雷德斯瞬间暴怒：推倒加西亚+追打加维 队友都拉不住

八分之一决赛对葡萄牙，比赛胶着，谁先眨眼谁出局，费兰送出了那脚直塞，让梅里诺在第91分钟完成绝杀。

3、詹姆斯首次公开谈今夏决定：不会让你们再等太久

模型的边界，是工具的机会 AI影视赛道里分布着模型厂商、科技巨头、创业公司，什么才是真正重要的竞争维度？吴太兵给出一个工业经济时代的类比。泰山换外援啥情况？媒体人：领导有点新思路，俱乐部还在推进三个月，三轮融资，合计约35亿元。

4、山东30分惨败宁波，前四无望，季后赛已是"盲盒局"

但这场比赛的走向，注定会被这两位超级球星深刻影响。

5、携手职业力量，Wilson Defyer带来「旋转球拍」的进攻美学

大模型训练消耗资源极为迅猛，项目一结束，需求便断崖式下降；推理相对连续，但对响应速度和成本锱铢必较；科研任务一跑几个月，对精度、网络和存储均有严苛要求；工业客户则更看重数据安全、本地部署和行业软件兼容性。

6、丁俊晖马不停蹄参加苏格兰赛 背靠背冲冠或PK小特

在法国人首发的13场联赛中，他和搭档共计攻入10球，锋线二人组场均进球0.77个，明显高于普利西奇（0.5球）、莱奥（0.42球）和希门尼斯（0.55球）在场时的对应效率。

那个在小组赛对着自己喃喃自语、祈祷进球被算的球员。

最大的问题，毫无疑问是钱。

7、全队蹦跳狂欢，梅西静坐一旁，阿根廷更衣室藏着一个时代的倒计时

据多家英媒报道，蓝军正在权衡签下英格兰中卫约翰·斯通斯的可能，同时对伯恩茅斯中场亚历克斯·斯科特的报价已遭到拒绝。

十年后，大模型进入推理密集期，智能体反复调用模型，长上下文带来更重的输入负载，算力的衡量方式也更关注单位token的性价比。

8、有亿点炸！奇才有意签威少！死去的记忆狠狠攻击浓眉！

运营商正在经历角色变化，过去，客户租用的是服务器、存储和带宽；现在，越来越多企业希望直接获得模型调用能力，或按照 Token 购买服务。

那一批印着梅西、迪马利亚等球员名字的羽绒服和棉服，在凛冽的寒冬中为灾区群众带去了实实在在的温暖与精神上的慰藉。

从长远看：一是要增加产能和迭代产品；二是加强与客户的合作，让客户把我们的硬盘作为重要的基础设施，降低TCO，遇到架构问题一起解决，及时调整产品；三是持续关注新兴AI应用，因为新的应用就意味着新的数据增长需求。

瑞银同样谨慎。