但如今，新的秩序之下，风险投资回归到了风险共担、容错机制与真股权投资。

1、米兰体育 不过，王文洋及其女儿早在股价下跌前，就已经开始减持公司股份。

月之暗面和MiniMax也在更积极地谈及愿景、人才密度、组织松弛度和内部共识：月之暗面强调品味和直接沟通；MiniMax希望依靠高人才密度和AI原生研发组织，提高实验、迭代和决策速度。米兰体育于是，我们也访问了一些爱买零食的年轻人，结论是：如果说“人越想贪便宜，往往越容易多花钱”，这个叫做“穷人税”，那么，量贩式零食店确实在“税”人。

2、仅23k英里！加州一手2008款雷克萨斯ES350现无底价拍卖

但对于7-Eleven来说，光是进军新鲜零食还远远不够。

3、费城人交易策略急转弯：不补五号先发，转而追逐季后赛王牌

这种费用具备可怕的刚性：即便下季度交付量下滑，你也不可能裁掉核心AI团队或关停超算集群，因为一旦停下，前期的巨额投入立刻沉没。

4、避开了沙特却碰上伊朗！U23国足主帅谈亚运会抽签：形势非常严峻

你总是会有这个时代的局限性。

5、博主曝光成都多家酒店及公厕存针孔摄像偷拍问题，被多家酒店拒住，警方：已抓获嫌疑人，拒住系经营者自发行为；博主：被拒住情况已有改善

按2026年预期利润算，大约5.8倍，跟三星（5.02倍）、SK海力士（5.64倍）、美光（8.2倍）站在同一排。

当然，米兰也在同步考察其他目标，波切蒂诺暂时被列为第二选择。

反观日本队，近期状态堪称火热。

6、决赛重演？FIFA希望阿根廷西班牙欧美杯继续进行 或定在11月

在球队失利、球迷情绪低落的敏感节点，发布个人高光时刻的旧照，无论初衷是单纯的纪念还是内心的自我慰藉，都不可避免地会被贴上“不合时宜”的标签。

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。

7、疯狂撒币的沙特主权基金也扛不住了

伊布主张让斯洛特担任主教练，普拉内斯担任体育总监，而卡尔迪纳莱则青睐朗尼克和格拉斯纳的路线。

第一个，这轮利润有多少来自涨价。

8、死亡之组？亚运会男足抽签：中国与阿联酋伊朗朝鲜同组 9月开踢

与此同时，耐克也正在开发由本地团队主导的全新零售概念，并将在未来六个月推向市场。

除此之外，赵晋荣还有一个当时很多人不理解的动作：供应链国产化。

而吉他这一物理载体，也让AI音乐走出手机和电脑，真正融入普通人的日常生活。

9、严查“缺斤少两”！南京公布一批电子计价秤计量违法典型案例

墨西哥主帅阿吉雷主打4-3-3阵型，防守时球队全员退守，很难被打穿，本届世界杯至今未失一球。

随着2026年美加墨世界杯的火热进行，国际足联主席因凡蒂诺再次抛出了一枚震撼足坛的重磅炸弹。

10、CBA常规赛打完！这些水货外援都要全部走人，一个不留

这种“以控代守”的战术，不仅从根源上掐断了对手的进攻机会，更让对手在漫长的拉锯战中逐渐丧失斗志。

九脚射正对零，他们早该改写比分。

1、又是绝杀！又是梅里诺！西班牙挑落比利时晋级4强！

只有当 AI 生成的模型足够可打印、可装配、可使用，它才会变成下一次启动机器的理由。

2、9场国际赛覆盖7国4大洲！NFL 2026赛季赛程揭幕战复刻超级碗

该产品适用于颈段脊髓损伤导致四肢瘫痪、手部无法完成抓握动作的患者，通过微创手术将电极放置在硬脑膜外采集运动意图，再联动外部功能性电刺激设备带动手部完成抓握。

3、曼联中场再补强：或签卡马文加与贝格，皇马松口可谈

参考资料： 《梅西投了李飞飞》，投资界； 《梅西变身硅谷投资人，投了"AI教母"李飞飞》，硅基见闻； 《10亿美元先生：梅西的「球王生意」》，中国企业家杂志； 《李飞飞，刚刚又融70亿》，投资界； 《又有NBA球星做投资人了》，东四十条资本； 《NBA球星投资都流向哪个领域 詹皇科比赚翻也有人破产》，腾讯NBA； 《梅西投地产，C罗押AI，姆巴佩买球队：世界杯球星的钱去哪了？》，国际金融报； 《顶级球星是如何做VC的？》，投中嘉川； 《100亿身家"足坛首富"，投了最火AI独角兽》，融中财经； 《NBA球星安东尼刚投了一位25岁华人女孩》，福布斯中国。上港为何领先两球都被玉昆最终追平！背后原因找到了，引发热议高额的资本开支最直接的代价体现在谷歌的自由现金流上，本季度谷歌的自由现金流转为-58.55亿美元。

4、22分钟狂砍24+10 科利尔双踝术后闪电归来

由此，评估形成了从智能体方案生成、计算校验到湿实验物理验证的闭环证据链。

5、湖南郴州这家学校老师都是法盲！将没收来的上百部学生手机当众砸毁

运动战85次传中仅成功11次、12.94%的成功率，这个成绩他自己也不会满意。

6、世界杯猛将盼圆梦！曼联锁定英超爆点！球员本人铁心加盟

米兰对斯洛特的想法也没有完全冷却，伊布是荷兰主帅的主要推崇者，不过他高达800万欧元的税后年薪是红黑军团难以承受的。

这背后的原因是，二手车销售、超充站、维修保险——路上特斯拉越来越多，卖完车以后还能继续从后续服务中赚钱。

全年净关闭门店660家，门店总数降至4360家。

7、反转？媒体人称李新翔造点前莱昂纳多疑似越位，国安已无申诉机会

这里还藏着一个讽刺的闭环：耐克第一次推进DTC时，把大量库存压给经销商，他们为清货被迫降价甩卖，把价格体系打得粉碎，陷入低价内卷；而这一次，耐克以“控价”为名收回线上，理由恰恰是这场低价失序。

2025年，公司录得营收30.30亿元、归母净利润-3.65亿元，同比减少5.74%和255.02%。

8、连锁健身房正在“收编”存量工作室

主帅斯帕莱蒂也向管理层提出明确要求，他需要一名左脚中卫与凯利形成轮换，同时如果布雷默离队，还需要再进补一名中卫，托莫里和托迪博是可能的人选。

先想清楚"我想往哪个方向攒能力"，再去找对应的实习，比海投一百份"行政助理"有用得多。

防守端，哥伦比亚的两条防线保持紧凑距离，中场积极上抢压迫对手出球。

王伟修家族的财富也随之暴涨，2026年飙升至近2000亿元，75岁的王伟修登顶山东首富。