在小组赛表现不佳后，加西亚果断推行去巨星化改革，将35岁的德布劳内放在替补席，甚至在对阵美国的1/8决赛中也没有首发卢卡库和多库，新阵容摒弃了以往过度依赖核心的慢节奏传控，转而打造更加直接高效的反击足球，收到很好的效果。

1、乐鱼全站 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。

国家队三连杀：半决赛的“法国终结者”（3胜0负） 在国家队层面，亚马尔对姆巴佩的压制更为彻底。乐鱼全站未来，规模化脑电采集技术将持续沉淀数据，用于训练神经基础模型。

2、2-2！上海申花又掉链子：7场不胜太差劲，只比降级区多6分

对手都在提速，米兰却戛然而止。

3、空调开26度最省电？错！学会用这3种模式，凉快还省电，真实用

耐克用了六年，完成了两次收权。

4、欧央行行长拉加德：留任至少至年底，能源冲击将推高通胀至2027年上半年

多模态视觉赛道，坡长雪厚 把目光从代码的红海上移开，你会看到另一片蓬勃生长的绿洲。

5、夏天光换被罩、床单没用，这2样才是最脏的，很多人不知道

从市场当前的动作来看，卫星互联网、商业遥感、导航增强、空间算力等应用快速发展，全球中低轨卫星进入规模化部署阶段，通信与遥感卫星将持续成为商业发射市场的主力需求。

宁德时代与宝马和德国Catena-X网络深度绑定，推动90多项底层碳排放联合核算标准的制定。

这场迁移的核心不是某一个价格信号的涨落，而是行业底层竞争逻辑的永久性切换，核心是从“谁扩产猛”切换到“谁有技术、有利润、有全球合规能力”。

6、农技送技助增收！晨曦农业科技承办中卫蔬菜种植专项培训，赋能产业提质_网易订阅

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

猎头Sara曾在优必选研究院楼下租了间办公室专门盯人。

7、世界杯散场后，真正留下来的是什么？

若AI叙事降温，资金可能进一步流向黄金。

早在2024年开袋有奖活动，乐事就曾将“看赛”作为重点消费场景。

8、“保胎技术，坑苦了小学班主任”，两节课擦了5个屁股，老师崩溃

自研芯片和新一代大模型可能成为扭转谷歌“掉队”的关键因素。

无论如何，Anthropic为中国门徒们注入了一个信念：模型公司仍然可以靠能力、组织和商业闭环重新上牌桌。

更值得注意的是盈利质量，谷歌云期内经营利润88.14亿美元，去年同期仅为28.26亿美元，经营利润率达到35.59%，从2025年Q2的20.74%连续多个季度爬升。

9、黑龙江省上半年工业经济加快“向稳向数向新向优”

Kimi K3的爆火证明了月之暗面仍然有做出关键模型能力的能力，这是非常关键的一步。

参考资料： 《中际旭创或成港股年内第一大IPO，募资净额分五大方向精准落地》，财闻； 《33家顶级资本疯抢！"光模块一哥"港股最高定价1010港元，腾讯阿里罕见联手入局》，时报财经； 《中际旭创，28亿并购换来9549亿》，财经天下； 《中际旭创800位员工分17亿》，投资界； 《变天，1.5万亿"算力新皇"诞生记！》，Wind万得； 《28亿卖身后估值突破1万亿，结果反转了》，虎嗅APP； 《十年180倍！最牛A股炼成记》，东方财富网； 《山东新首富诞生》，投资界； 《75岁王伟修登顶山东首富 "易中天"正在批量制造千万富翁》，腾讯财经； 《中际旭创H股或成近年港股最大IPO》，第一财经。

10、不满意湖人上赛季！东契奇你在说啥！

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。

从阵容纸面实力来看，两队各有千秋。

1、拒绝“预制菜”，不靠梅西，斯卡洛尼也能端上新食材

品牌上线的“吃乐事 看赛有乐事”抽奖活动带来多重福利，提升消费者的参与感。

2、TVB宣布正式更名

但如果我要做一个手机，原料厂商不可能比手机厂商有优势。

3、Keychron 立式鼠标 BM27 发布：55°倾角，100 小时续航，仅 99g

阿根廷3比0完胜阿尔及利亚，梅西第80分钟便被换下休息，体能储备充足。最高2年1.367亿！库里8月30日有资格提前续约 剑指20年一人一城他们未必缺少信息，缺的是一个能把工作、家庭与关系重新串起来的解释。

4、禁赛两年！2026提前报销！NBA最佳第六人废了

NEO的注册临床试验由华山医院与宣武医院牵头、全国11家顶尖医院参与，78天完成全部32例患者入组与手术，术后3个月、6个月的抓握响应率均为100%。

5、全球媒体聚焦

他速度快，冲击力强，跑动积极，能在前场给对手防线制造很大的压力，而且有一定的背身拿球能力，符合现代中锋的要求。

6、讽刺！队友忙着打架，终场哨响第一个拥抱梅西的是西班牙进球功臣

姆巴佩以8粒进球与梅西并列本届世界杯射手榜首位，尽管在对阵摩洛哥的比赛中罚失点球，但他仍送出3次助攻，6场比赛打入8球的效率堪称恐怖。

三中卫+双后腰形成严密屏障，三条线间距压缩到极限，胡桑诺夫作为后防核心负责指挥防线并通过长传发起反击。

学校就业指导中心、免费的校招公众号、学长学姐的分享，这些都是不花钱的情报来源。

7、农业农村部：当前生猪市场供应总体充裕，稳住生猪价格回升势头

分情况来看，若尤文、米兰和罗马3队最终同积71分，那么尤文在此小联赛积分榜积6分排名第1，直接交锋净胜球+1，联赛总净胜球+27；米兰积6分第2，直接交锋净胜球+1，总净胜球+19；罗马2分第3；最终尤文和米兰晋级。

“去年卖模型，今年卖Harness，明年可能卖完整Agent解决方案。

8、CBA速递：徐杰在美更新动态，山东连签两名大将补强，郭昊文追梦失败，余嘉豪再度返回CBA

当终场哨声响起，消费者与嘉宾共同见证冠军诞生，也完成了一场贯穿整个FIFA世界杯周期的观赛旅程。

在百亿营收的大体量下，上述公司还能实现利润十倍跳涨，足以证明存储赛道的供需缺口已经到了“极致紧缺”的地步。

当年，沙特豪门的目标很明确：签下传奇球星，哪怕已经过了巅峰期也无所谓，要的就是全球关注度。

转折出现在2023年下半年。