程越把自己描述为被卷进这场竞赛的人，而不是主动参与者，“不抢人，马上死，抢了人如果烧不出量产数据，也不一定能活。

1、开云官方app 储能已经不再是动力电池的“附属品”。

2023年，Mounjaro销售额达51.63亿美元，同比增长970%。开云官方app而当AI技术逐渐成熟，这些深层的需求可以成为现实。

2、切尔西接近签下勒沃库森18岁新星，3000万镑身价靠阿隆索关系搞定

在世界杯这样残酷的舞台上，这种怯懦的“苟且”战术注定没有好果子吃。

3、NFL分析师评猎鹰非四分卫MVP候选：罗宾逊被视为首选

第112分钟，阿根廷队打破僵局，阿尔瓦雷斯在禁区外接球后稍作调整，轰出一记无解的“圆月弯刀”世界波，皮球直挂球门死角，小蜘蛛斩获本届世界杯首球，助阿根廷2-1再次领先，这记天外飞仙般的进球彻底击溃了瑞士队的防线。

4、世界杯16强对阵，欧洲、拉美豪门各守半区

" 16年前，伊涅斯塔在南非世界杯加时赛绝杀荷兰，为西班牙首夺大力神杯。

5、开拓者解说员拒“次贷”报价离职，清洗广播团队引超音速回归猜想

大家一致的声音是“心意无价”、“这波没得黑”。

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。

绿茵场的胜负终有落幕之时，而梅西在科技行业的投资才刚刚开始。

6、韩国赠还中国清代石狮

法国与英格兰将为铜牌展开较量，姆巴佩、奥利塞、凯恩、贝林厄姆等球星都将在这场荣誉之战中登场。

666元，对上1150元。

7、肯帕努制胜球！铜梁龙终结6轮不胜保住第2，海牛3连败陷入困局

进入淘汰赛后，比利时的状态开始逆势上扬，1/16决赛对阵塞内加尔，球队一度两球落后，最终在常规时间尾声连扳两球，加时赛完成3-2的惊天逆转。

三人分工明确，配合默契，构成了现代足球工业化打磨出的极致利刃，三把尖刀各司其职。

8、重庆防守核心缺阵，成都为德比留力 刘建业守不住 向余望PK韦世豪

未能展现出此前的进攻和技术水准，既有我们自身的问题，也要归功于西班牙的出色限制。

综合来看，这场比赛双方实力在伯仲之间，瑞士拥有体能和阵容完整性优势，哥伦比亚则在球星质量和技术能力上更胜一筹。

这一价格区间恰好处于卡尔韦利的决策权限内，若谈判顺利，有望在短期内敲定。

9、北京一凶宅952万元拍卖，1人报名但未出价

接下来的问题在于，他将如何融入球队？或者说，卡塞米罗能为球队带来什么？毕竟，迈阿密国际的中场配置已经相当齐整。

对一个仍在从极客市场向大众市场扩张的品类而言，300万台年产能不能算普通扩产，但对于一家产品发售第三年年营收已经超过 100 亿元的公司来说，这看上去像是顺势而为。

10、输掉世界杯决赛后，阿根廷中场帕雷德斯掐西班牙球员喉咙被直红罚下

这对阿森纳来说是个利好——但在球队还有其他转会需要推进的情况下，这笔交易所涉及的财务压力依然巨大。

一签赚8300到2.2万元。

1、佛得角门将身价暴涨十倍！哈兰德亚马尔身价并列第一！

此后，西藏联合先后在甘肃投资建设了华威然气、白银瑞光、甘肃瑞光三个项目，前两个项目在2019-2023年陆续完成收购承诺，但临夏瑞光供热PPP项目始终未被收购。

2、南农观澜｜南京农业大学青年教师刘东阳：漏斗底的承压之旅

最大的隐忧是中锋努涅斯，由于本泽马加盟利雅得新月后被挤出大名单，近3个月缺乏正式比赛，比赛状态和射门感觉都需要时间找回。

3、三大电台直播连鲁大战！克雷桑+谢文能全来了！两队足协杯轮换战三镇+河南

戈登的世界杯之旅以心碎收场，但他完全可以昂首离开。世界杯四强出炉！英阿会师+法西大战！最新夺冠更新：法国领跑中场由罗德里、佩德里坐镇，传控调度能力属世界顶级；边路亚马尔、奥亚萨瓦尔两翼齐飞，兼具单点突破与门前终结能力；后防线新老搭配，库巴西等年轻球员快速成长，整体攻守均衡。

4、苗润东代表狼队U21首发出战！身披11号战袍亮相，有望加盟

这意味着，特斯拉的AI故事目前依然停留在“故事”阶段。

5、支付9440亿韩元，SK掌门人“天价离婚案”宣判

与此同时，天齐锂业还持有SQM约22%的股权，间接掌控着阿塔卡马盐湖这一全球储量最大的盐湖资源。

6、不敢查！俄罗斯间谍在日本狂欢，第三国转运链曝光，越南卷入其中

据《世界体育报》报道，努涅斯已返回利雅得新月参加季前训练，但这位乌拉圭前锋仍在密切关注巴萨在转会市场的一举一动。

1/16决赛中，墨西哥凭借基尼奥内斯和希门尼斯的进球2-0零封厄瓜多尔，强势晋级16强。

阿森纳在周三晚间发布的声明中确认，萨利巴无需手术，但"预计将缺席相当长一段时间"。

7、山东泰山遭争议判罚：卡迪斯明显假摔仍能造点，解说直言不是点球

决赛中，梅西和阿尔瓦雷斯全场被牢牢限制，这很大程度上要归功于这位巴萨中卫，他单场贡献了六次解围，为全场最高。

2026年美加墨世界杯是首次扩军至48队，这么多球队晋级四强的球队刚好是国际足联排名前四球队，这是世界杯历史上首次出现这样的壮举，这意味着本届世界杯半决赛没有一丝一毫的水分，最强四队争夺两个决赛名额，法国vs西班牙、英格兰vs阿根廷。

8、岳阳再迎国家级医学盛会！全国心血管大咖齐聚，数智赋能基层“治心”新路径

阿根廷四场淘汰赛制胜球全部出现在九十分钟之后，他们的韧性与大心脏展露无遗。

目前利兹联和伊普斯维奇两支英冠球队对其有意，但都尚未提出正式报价。

然而，在世界杯的舞台上，他根本没有停下的资本。

IDG资本合伙人邵辉后来重新翻看早期投资文件时忍不住感叹，拓竹产品发布后头两年的收入与市场份额，与创业时的预测只有很小偏差。