而耐克进行DTC直营化的初衷，就是想要统一价格、减少无序打折的情况，同时修复品牌溢价，稳定整体价盘。

1、火狐官网 ”李攀认为，在7月仓单注销以前，短期“弱预期”仍将主导价格波动中枢。

销售入口可以做得很轻，利用率却只能靠客户体系、应用迁移和模型适配能力，一点一点打磨出来。火狐官网LABUBU与世界杯的联名破圈效应显著，在乐园的主题美陈前，我看到一对身着阿根廷球衣的夫妻正在和LABUBU合影。

2、媒体：无论世界杯决赛输赢，梅西都是金球奖最大热门！

不仅两场淘汰赛的对手都有主力球员因伤退场，而且连续两场比赛，都是梅里诺在替补登场后完成绝杀。

3、严重可致命！警惕：服用奥美拉唑最怕犯这4个错误，早知早获益

”他预测称。

4、“智通陆海·链动未来”数字物流产业投资推介会在成都举行

对李氏家族而言，此刻套现无疑是性价比最高的选择。

5、坐拥杨瀚森王俊杰两大海归仍惨败，三大隐患锁死男篮出线生路

这笔转会若能成功，也将为巴萨在转会窗带来一笔重要的财务收入。

”郑玉典认为，招聘、房地产、法律等行业的工作流复杂且高度专业化，通用模型公司很难覆盖其中的全部业务细节，这恰恰为专注垂直领域的创业公司留下了机会“AI 会率先改变标准化程度较高、重复性较强的工作环节，但真正进入复杂的垂直行业仍然需要时间。

两家公司的模型发布不仅多次撞车，甚至技术层面也有默契。

6、王建球与省农信联社黄向阳座谈

球员状态方面，葡萄牙队内忧喜参半。

而且上赛季那些高价水货，经过一个完整赛季的适应，应该会有明显提升。

7、詹姆斯今天不会做决定！想法突然改变又得重新考量 黑贝回应爆料失败

世界排名第一的法国队本届赛事展现出了恐怖的统治力，六战全胜且轰入16球，姆巴佩以8粒进球领跑射手榜，登贝莱与奥利塞的边路爆破更是让对手防不胜防。

当那辆没有方向盘和踏板的Cybercab缓缓驶过奥斯汀的清晨街头，它无疑是一个极具视觉冲击力的未来符号。

8、热火队传闻：若勒布朗·詹姆斯签约，凯文·乐福会是真正的人选吗

“我们用三个圈筛选机会：一是看头部客户需求，二是看创始团队有没有能力禀赋满足客户需求，三是看市场 momentum（势能）。

随着西班牙队史上第二次赢得世界杯，今夏在北美举行的足球盛宴正式落幕。

而乐事正持续让“看赛有乐事”自然融入消费者的世界杯体验之中。

9、全新纯电家轿上市！不足13万起，年轻外观很动感，纯电续航550Km

两人曾在米兰并肩作战，马萨拉作为俱乐部管理层成员，亲眼见证托莫里与卡卢卢搭档的中卫组合夺得意甲冠军。

第三，它掌握着决定服务质量的关键环节。

10、2-3虽败犹荣！54万人的佛得角尽力了！差点掀翻卫冕冠军阿根廷

即便通过算法将KV占用压缩90%，海量长会话累积的数据量仍远超传统内存承载上限。

赛后，球迷的吐槽声在各大社交平台炸开了锅。

1、8国态度罕见一致：集体炮轰以色列亵渎行为，阿克萨清真寺再成国际焦点

他全场受到严防死守，被刻意隔离开禁区，拿球机会也极为有限，几乎被完全限制住了。

2、下月起，大批医学分会将被裁撤！

哈兰德领衔的挪威队具备爆冷的冲击力，而瑞士队则向来以铁血防守和顽强的韧性著称。

3、血管清道夫找到了！这3种食物，帮你把“坏胆固醇”降下去

满足大量场景诉求。嘴上起水疱不一定是“上火”！小心是这种终身潜伏的病毒，会传染→机器变简单了，需求还要被发明 拓竹的第一场胜利，是把过去被用户忍下来的麻烦，逐步交由机器自动完成。

4、想用JavaFX实时高亮乐谱找不到库，他索性自己写了一个

一旦转会成行，蓝军现有中卫查洛巴的去留将被提上日程——意甲升班马科莫对他有意。

5、为巴拉圭站台！南美足联主席批法国队：没看到有多优秀

从门德斯，到库尔图瓦，到如今的萨利巴，西班牙队在淘汰赛阶段接连遇到了对手核心球员因伤离场的情况。

6、17岁法国天才新星崭露头角，开价1250万欧，4大欧洲豪门展开哄抢

这位许多人眼中史上最佳的球员，最初的遗憾始于2006年。

IBM将收购HRL实验室，推动量子未来的发展 7月23日，IBM宣布已签署最终协议，收购旗舰研发机构HRL Laboratories， LLC（HRL）。

挪威的优势在于哈兰德的个人能力和反击效率，以及高空球威胁。

7、刘建业：战三镇不会有丝毫松懈，目标稳定联赛上游排名

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。

这段“只有投入、没有产出”的阵痛期，考验的不仅是马斯克的决心，还有资本市场的耐心。

8、2场8抢断+投中6个三分！火箭新控卫太稳健，完美取代霍勒迪？1号位实力不降反升

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。

还有一件容易被忽略的事——经营你的"情报网"。

无论是TT语音，还是AI音乐，趣丸科技的思路是将“用户洞察”置于技术研发之前。

对于志在夺冠的球队而言，如何应对这类突发伤病、保持阵容稳定性，已然成为本届世界杯征程中不可忽视的课题。