阵容老龄化严重，首发阵容中超过30岁的球员达到7人。

1、kok平台网址 本场挪威大概率会延续此前的控球打法，利用中场优势主导球权，通过边路传中持续施压英格兰防线。

不过他的速度和脚下技术摆在那里，前场多个位置都能踢，这给了他足够的腾挪空间。kok平台网址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。

2、大连沙滩文化节来了！20项文体旅活动开启

据西班牙媒体《El Debate》报道，奥利塞已明确要求在本届世界杯结束后，立即与拜仁高层举行会面，商讨个人未来去向。

3、印度队7连败后首胜，队长Shreyas Iyer：不能再更开心了

据意大利天空体育报道，阿莫林已经提出3个引援目标建议，分别是尤尔曼、特林康和贡萨洛·拉莫斯。

4、中国女排1-3不敌多米尼加，赵勇教练组将做4调整

高工锂电判断，2026年全球储能电池出货量有望落在800至1100GWh区间，同比增长30%至70%。

5、B费新赛季主场球衣杯赛字少量到货哦~

只有这些损失都在账户承受范围内，“小亏”才不是自我安慰。

截至6月18日，市值一度突破1.5万亿元，暴涨约550倍，公司老板王伟修的身家已经接近2000亿元，稳稳坐上了“山东首富”的位子。

礼来的故事，与它们有着相同的基因——一种深植于成功者骨血里的"路径依赖"，和对既有认知的偏执迷信。

6、郑钦文轻松晋级八强，比赛仅1双误，三大亮点令人惊喜

例如愿意为 AI 投资决策工具付费的专业投资者，或能够获得公司报销的管理者。

一边是三次闯入世界杯决赛的传统豪强，一边是连续斩杀世界冠军的亚洲新贵，这场东西足球文化的碰撞究竟会擦出怎样的火花？ 阵容解析：豪门班底vs旅欧军团 荷兰国家队目前FIFA排名第7，全队总身价高达8.14亿欧元，主打4-3-3阵型，15名五大联赛主力球员构成了完整骨架，平均年龄27.4岁正值职业生涯黄金期，尤其是后防线配置堪称世界杯顶配，中场控制力与创造力兼备，锋线速度与经验完美平衡。

7、约书亚拒谈富里：先征服地球，闯不过普伦加不谈“宇宙”_网易订阅

安全声明：本次评估严格遵循负责任披露原则，不展示制造危险物质的方法。

这场疯狂的人才掠夺，是否在释放赛道泡沫见顶的强烈信号？ 01 海外抢人大战 2026年7月10日，苹果把OpenAI告上了北加州联邦法院。

8、波贡什切青与热刺达成协议，21岁后卫多林顿将永久转会波兰

许玮指出，“内存墙”让昂贵的算力芯片普遍处于“吃不饱”的等待状态，正在成为AI推理性能的核心瓶颈。

贾斯特将与国家队队友马尔科·斯塔梅尼奇在俱乐部重聚，两人此前一同代表新西兰征战了世界杯。

就算他愿意降薪回欧洲，降幅也不可能太大，毕竟球员的薪资预期一旦上去了，就很难再降下来。

9、杭州亚运折戟三年后，中国男篮悄悄完成现代化

正因如此，除非收到一份天文数字的报价，否则他们决意不再失去另一名核心球员。

也许早几年的他，会把替补席看成一种审判、一种关于地位的声明。

10、卡里克赚大了！曼联捡漏 3500 万世界杯王牌！弃购水货后封神补强

赛后检查显示，魔笛颧骨骨折赛季报销。

缘何锂企订单饱满、下游需求旺盛，锂盐价格却持续下行？ 上海钢联锂业分析师李攀告诉公司观察，主要是因为市场“弱预期压倒强现实”，市场在提前交易远期供给宽松（如海外矿增量、国内锂矿复产）及电池消费税压制远期需求的逻辑。

1、4 wicket零封琼斯，80分惨败！曼彻斯特超级巨人59球碾压伦敦精神

这多少有点道理：既然他们去了热刺，那肯定哪里有问题。

2、世界杯大幕落下，西班牙队最大赢家：捧杯、5000万美元奖金、金球、金手套、最佳年轻球员

首轮面对沙特，球队全场控球占优、27次射门却只收获1球，阵地战效率低下的问题暴露无遗；次轮对阵佛得角，球队两度领先两度被扳平，两大主力伤缺导致后防稳定性下降，反击中连续被对手打穿。

3、岳阳广济医院，招贤纳士！

落后的三狮军团全线压上，并在上半场补时阶段迎来了转机。中国队去哪不是死亡之组？相信安东尼奥！招张玉宁可以，37岁吴曦踢U23？病得不轻两轮过后，瑞典队1胜1负积3分，净胜球归零，“遇弱则强、遇强则弱”的属性暴露无遗。

4、巴西挤占美国支付份额，美国接受不了，计划对巴西加征25%关税

解读他的表情并不难，哪怕是坐在家里的球迷也能感受到他在传达什么。

5、三镇为保级留力，泰山队晋级没压力 彭啸让位给郑铮 买乌郎该首发了

日本总身价2.63亿欧元，世界排名第17位，森保一主打3-4-2-1弹性阵型，可灵活切换4-2-3-1阵型。

6、梅西亚马尔逆转绝杀挺进决赛，拉玛西亚两代传奇传承

优先股后来被赎回，认股权证经过无现金行权，最终为伯克希尔带来约1306万股高盛股票。

未来几年我最看好的规模化AI行业包括：制造业数字孪生、智能交通、自动驾驶、AI视频生产、智能机器人，这些领域都高度依赖持续增长的数据资产。

目前球队依赖24岁的防守型中场扬尼克·布莱特来坐镇中场，与他搭档的通常是德保罗和塞戈维亚。

7、西班牙8战仅丢1球夺冠，创世界杯防守新标杆

这背后，显然不只是足球的吸引力那么简单。

世界杯赛场两队仅交手一次，2006年德国世界杯1/8决赛，齐达内领衔的法国队3比1淘汰西班牙。

8、卡塔尔世界杯半决赛重演：友谊第一？晋级第一！

2026年7月初安卡拉北约峰会上，特朗普的措辞达到了顶点："我不想和西班牙有任何关系。

“最快6个月”仍是知情人士给出的预期，而非公司正式发布的上市计划。

米兰希望等到世界杯后再开启正式谈判，俱乐部寄希望于莱奥能在大赛打出状态，5000万欧元的市场价届时可以水涨船高。

阵地战中，奥利塞在右路的内切射门是常规武器，姆巴佩从左侧切入，登贝莱负责边路串联。