他们的婉拒很能说明问题：现阶段的米兰，既拿不出清晰的中长期竞技规划去说服候选人，也无法在薪酬和话语权上给出压倒性的保证。

1、英亚体育 赛季结束后，卡马尔达将返回米兰，管理层并未打算将他留在阵中充当第四选择，一个合理的规划是继续送他去一家能保证连续出场机会的俱乐部，而萨索洛恰好对其非常感兴趣。

斯坦顿分析道："我们突然看到贝林厄姆脸上闪过明显的怒气，他在回答时下巴往前一挺。英亚体育动力电池需求由整车厂主导，核心是“极致的性价比”。

2、36氪首发

新总监上任后大概率会推翻前任的部分规划，这在米兰最近几年的历史上反复上演。

3、这届世界杯花钱最狠的人，不懂球丨2026世界杯消费报告

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。

4、卫健委已将左氧氟沙星列为重点监控药！医生：服用千万注意7点

这也为国产厂商在前沿领域争取领先地位提供了可能。

5、怎么会有人不Like Jennie？

漫长的等待，只为这一刻的绽放，属于齐达内的国家队新篇章，已然开启。

弗利克在2026-27赛季到来前遭遇沉重一击。

基于HAMR的Mozaic+平台目前已经实现超过4TB单盘面密度，并支撑44TB级硬盘产品。

6、安东内利：我爸警告我如果再随便出赛道边界，就要掰断我的脖子

去年下半年，Grace Tsu Han Wong就通过减持0.32%的公司股份，套现约8300万元。

" 过去，德国队从来不缺硬桥硬马的冲击力和身体对抗，这些曾是国家队安身立命的根本。

7、深耕暑期文明交通宣传 守护群众平安出行

六是防微杜渐守牢重点领域风险底线。

我们从不满足现状，每个赛季都在寻求成长、进步，提升标准。

8、场均26.2分但重伤赛季报销 仍获马刺续约 队记证实先裁他腾位置

这意味着，企业要付出更多努力，在充分尊重其直觉的前提下，防止自负的核心人物犯错。

7月22日，国内头部经销商滔搏、宝胜先后发布公告，确认耐克产品线上平台销售将于2027年1月1日起全面终止。

首战7-1大胜展现了恐怖的进攻火力，多点开花的进攻体系令对手防不胜防。

9、端侧大模型成了刚需，芯片准备好了吗？

通过算法预测一段未知序列编码的蛋白质是否具有危险功能，比如是否属于已知的毒素家族、是否具有病原体特有的结构域等。

这倒是对整届赛事最贴切的收尾。

10、豪斯:在火箭打球信心爆棚 熟悉球队打法让我速热

对于米兰球迷来说，克勒舍和哈东的加盟无疑是这个夏天最令人期待的消息之一。

随着曼赞比等顶级新星的不断涌入，英超的赛场必将更加精彩绝伦。

1、爆冷！女排22-25美洲鱼腩 龚翔宇持续低迷，庄宇珊带不动

整体来看，美国企业在深度侵入式技术、长期人体试验与融资体量上仍旧领先；而中国企业的优势主要体现在庞大的临床需求、医院协作体系、医疗器械审批效率与制造供应链等方面。

2、安东内利：我爸警告我如果再随便出赛道边界，就要掰断我的脖子

没有欧冠的吸引力，想要签下那些在欧洲赛场证明过自己的球员会非常困难，而俱乐部的财务空间也不允许大手笔投入。

3、科里森：伦德伯格懂得如何赢球 这是球员最宝贵的特质

2025年美国市场销售额接近70亿元，远超预期，公司已经在洛杉矶设立了美国区域总部，计划2026年门店破百家，还要开纽约第五大道旗舰店。“当科比去世，我的一部分也随之而去。”——记乔丹与科比的最后对话面对非洲冠军摩洛哥，法国队不仅全场压制对手，更让其全场仅有一次射正，射正比8-1。

4、永恒的传奇，34岁还能够拿到金球奖，历史仅四人，梅西继续冲击记录

不过对阵热那亚的比赛中，莱奥、萨勒马克尔斯、埃斯图皮尼安、莫德里奇都将缺席，球队在连败的情况下也是士气低落。

5、温网连续十年诞生新冠军 这一次 21岁的诺斯科娃笑到最后

” 阿浩撑了大约九个月，开店时他刚过完26岁生日，闭店那天，他感觉自己老了十岁。

6、阿森纳获推荐4000万欧中卫德巴斯特，对比1.17亿镑目标堪称低成本

从大众体育到顶级赛事，从日常生活场景到特别的观赛据点，乐事也将陪伴消费者共享体育激情与欢聚，让每一次看赛，都增添有乐事的快乐记忆。

此外，巴西球员留洋后战术风格的碎片化，也让国家队在短暂集训中难以形成默契。

面对拥有姆巴佩、登贝莱、奥利塞等超级球星的法国队，西班牙队需要在防守端保持专注，同时在进攻端继续发挥团队配合的优势。

7、重庆嘉陵江边两少年玩水遇险 博主划船经过连救两人：毕业后从事过游泳教学工作

北京时间7月15日凌晨3点，达拉斯AT&T体育场将迎来一场注定载入史册的较量。

拉比奥与米兰的合同截至2028年6月，税后年薪550万欧元。

8、仁爱礁凌晨突然动手！不到24小时，中召见菲大使，外长会风向大变

直到一周之后，他开始怀疑这张名单。

最先发力的是储能需求。

“我性格更外向，喜欢主动施压；而拉马尔更沉静，习惯按自己的节奏踢球，就像在街区公园里玩耍一样自如。

据意媒爆料，二人还曾在一家餐厅爆发冲突，在场的富拉尼和塔雷及时将他们拉开。