巧合的是，他们在那个具有里程碑意义的舞台上，身披的都是19号球衣。

1、江南娱乐 先看建设账—— 用户希望像用水电一样按需购买算力，服务商面对的却是一个长周期重资产项目：机房、服务器、网络、存储、液冷、电力，全部要前期投入，主要设备按4~5年折旧。

美国4-1大胜巴拉圭一役，控球率达到65%，全场16次射门6次射正，高位压迫战术完全奏效，上半场就以3-0锁定胜局。江南娱乐对于刚满18岁的球员来说，能在乙级联赛拿到超过1000分钟的出场时间实属不易，尤其在2026年后半程，他还在新帅多纳多尼麾下拿到了首发席位。

2、改革重于化债：“西咸资管”来了

其中，Moncler主品牌实现营收10.9亿欧元，直营渠道仍是最主要增长动力，Stone Island实现营收2亿欧元，同比增长7%。

3、啊这！！交易12天0沟通！都等对方主动啊！

早在一年前，孔蒂就已有离队的想法，不过在老板德劳伦蒂斯的游说下又留下干了一年。

4、豆瓣5.5，今年最难看的爆米花电影就是它了

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。

5、球员市场洗牌后！这8队：将是新赛季西部前8！

他进一步解释：“领先后，我们没有继续追求第二个进球。

但请先别急着焦虑。

今年夏窗，米兰的引援预算为5000万欧元基础外加出售球员收入，其中租借球员的买断收入占到大头。

6、印尼公开赛：亚欧美洲均有夺冠，多位球员创造个人纪录

这条链路上，特斯拉要掌握电池、车辆、机器人、AI 模型、算力和芯片——这是一个典型的「物理AI 帝国」式的架构。

AI手机或许是趋势，这一点已经没有人怀疑，但它目前依然处于摸索阶段。

7、两个史上最伟大14号的旷世之撕

但这类用户的获客成本也很高：“在美国，一些 Vibe Coding 工具获取一名程序员注册用户的成本可能达到数百美元；一个高质量注册用户的成本可能达到上千元人民币。

虽然看起来变化可能不大，因为米兰将继续使用三后卫阵型，但这与阿莱格里的足球风格相比实际上是根本性的差异。

8、打工一个月工资42？贵州小伙：不仅白干还倒贴，店名曝光 网友避雷

我们输了比赛，也接受它，但这不意味着日子就不过了，也不意味着我们会忘掉为了走到这里所做的一切。

接下来是点火期：财报、审批、政策、产品上线或者资金流变化，原本无人问津的逻辑进入市场更多人的视野。

如果底层碳排放数据库对中国产业的用能结构与工艺路线存在系统性偏差，中国企业面临的将不是关税抬高几个百分点，而是直接失去市场准入资格。

9、Nike 调整 SNKRS，暴露了球鞋市场的「现实」

近几年，中国企业家很少出现如此规模的集体亮相，更遑论是在海外集体出现。

国产 TPU 要进入市场，既要解决芯片本身的性能问题，也要回答开发者如何迁移、模型如何适配、客户如何调用的问题。

10、我为什么跑不到2区心率以下啊！？

"正是这种心态，让他打进了那个为我们赢得世界杯的进球。

它更像一面镜子，照出了一个正在发生、却很少有人直说的现实： 大厂和普通人之间那道分水岭，已经悄悄从"校招"提前到了"大三"。

1、太原新增3条绿波！

这让行业感慨，众里寻他千百度，暮然回首，风口却在灯火阑珊处： 大模型公司的下一个主战场，可能不在代码里，视觉多模态，正在成为大模型公司下一个兵家必争之地。

2、UFC八月重返上海，两晚格斗盛宴连番上演

西班牙的核心竞争力在于中场。

3、勇士交易巴特勒方案曝光：换回克莱等三将，再搭一首轮

我们能做的就是确保下一次迭代，我们还在。复杂性创伤后应激心理分析：第五十二讲 成为表演型人格挪威FIFA世界排名第23位，全队总身价5.9亿欧元，小幅领先排名31位、身价5.2亿欧元的科特迪瓦。

4、重磅引援！广东王牌射手三年顶薪加盟同曦，能否改变季后赛格局？

西班牙U19国家队在本届赛事中展现出绝对统治力，一路高歌猛进杀入决赛。

5、燃情东北超·魅力黑龙江｜阿城万事俱备 只待“哈长之战”哨响

冬季转会窗口期间，费内巴切曾在时任主帅泰德斯科（二人曾在莱比锡红牛共事）的推动下尝试引进恩昆库，但米兰方面标价3700万欧元附加浮动条款，最终交易告吹。

6、泰山队取消登泰山！别伤球迷的心

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。

更要命的是，管理层对下季度信贷收入的指引含糊其辞，这意味着市场仍在按旧脚本估值，而旧脚本已经撕毁。

小亏和大赚之间，找不到完美比例。

7、WAIC2026，中国联通成功举办AI赋能新型工业化发展论坛

画面质感也达到了电影级水准，光影过渡自然，咖啡萃取的油脂感、烤面包的焦脆色泽、地铁金属扶手的反光……都处理得细腻逼真。

据大卫·奥恩斯坦率先披露，利雅得新月将支付7600万欧元，从西汉姆联签下24岁的荷兰边锋萨默维尔。

8、当摇汞青年各自捡起一块石头

但在新能源时代，三电终身质保是整车厂喊出来的口号，电池供应商却躲在后面。

然而，就在这个万众瞩目的世界杯半决赛前夕，一则来自阿根廷国家队的官方声明，如同一股跨越半个地球的暖流，深深触动了无数中国人的心。

从7-Eleven的区域分布来看，门店集中在广东、山东，华南区域，西南昆明等地相对强势，但从全国范围来看并未形成规模化网络，且基本上都是以合资或授权公司独立运营模式为主，并不是直营统一扩张，如果要试水新鲜零食赛道、无论是配套设施还是冷链体系，抑或新鲜零食的品控问题，都是7-Eleven需要解决的核心痛点。

日本队位列F组第二，取得1胜2平的成绩，小组赛同样打进7球，但防线出现3粒失球，稳定性稍有欠缺。