考虑到米兰新赛季将面临意甲、欧联杯、意大利杯等多线作战，他们仍然是重要的轮换力量，季前赛将是争取主力位置的最后机会。

1、乐竟体育 CEO富拉尼可能会被弹劾，体育总监塔雷若无意外将被解雇，这意味着他主导引进的几名球员——包括冬窗加盟的亚沙里和恩昆库——也将被打上问号。

他回忆创业初期扫描项目时，团队几乎花了 5 分钟就把 3D 打印否掉了：一个 20 公斤的产品，售价却被卷到一千多元，行业里又有很多厂商在打价格战。乐竟体育该业务占宝胜2025年总收入约15%。

2、马龙许昕全锦赛夺冠

现在还剩两场比赛，我们将全力以赴冲击冠军。

3、“有色”西进再出手！20亿落子新疆

结语 2026年7月15日，世界杯半决赛，西班牙2-0完胜法国。

4、梅西:打英格兰很特别若输球肯定有人会说蠢话 但我们没给他们机会

期权临近到期、Theta快速增加，或者隐含波动率下降，使投资工具不再适合承载原有逻辑。

5、世预赛归来，梅西何时重披迈阿密战袍？21天休整期藏变数

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。

他在边路的突破与终结展现了极高的战术价值，这粒锁定胜局的进球更是其金球奖级别实力的完美体现。

同时，老板本人也制定了极其紧凑的日程，他亲赴德国与格拉斯纳进行了会面，值得一提的是，这次对话并没有带伊布参加。

6、五名嫡系离队鞠伟松回归，山东男篮和邱彪，已等不到秋后算账

“HWG！”当知名记者罗马诺用标志性的口号确认这一消息时，整个足坛为之沸腾。

受AI服务器疯狂抢夺晶圆产能影响，LPDDR4/5内存在2026年第二季度价格较2025年底暴涨约2倍。

7、官方：上海海港签下两名外援

此外，球队运动战进球过度集中在梅西脚下，其他锋线球员终结效率不稳定，一旦梅西被重点限制，第二得分点能否及时站出来，将直接影响比赛走向。

弗拉霍维奇正值当打之年，支点能力和得分手段兼备。

8、网坛大表彰！阿尔卡拉斯和萨巴伦卡包揽劳伦斯年度最佳运动员

今天，当人们惊叹于礼来万亿美元市值的时候，很少有人记得这家公司也曾因傲慢错失风口，也曾因路径依赖困顿多年。

一级市场融资跑了8年，机构退出的诉求已经浮出水面。

公开资料显示，太洋科技成立于2011年，主打金属铍、铍合金及铍化合物材料，是全球第二家、国内唯一具备铍全产业链生产能力的企业，产品覆盖国防军工、航空航天、核工业、半导体等领域，属于典型的战略级“卡脖子”材料。

9、汽车行业的寒气，还是吹到特斯拉了。

"他让我想起齐达内，那种踢球的方式和气质。

然而主帅图赫尔在领先后过早转入防守，主动让出中场控制权，导致球队持续承压。

10、乱象丛生！泰山夏窗零引援深陷阵容与管理双重危机

挪威的短板是边后卫前压后身后空当极大，且主力右后卫、中卫伤缺，不确定能否及时复出，替补防线转身慢、回追差，面对科特迪瓦的高速边路反击压力很大。

截至半决赛，法国队总进球16球、失4球，场均控球率64.7%，总射门87次、射正41次，进攻火力冠绝赛事。

1、73胜勇士是下狗？三大因素下，阿杜抛出争议言论

勤笑公两次参加“面试”，都没有打动考官。

2、红牌+双点球！贝林厄姆双响，英格兰3-2胜墨西哥，东道主止步16强

现年54岁的齐达内，终于在本月与法国足协正式签约，正式顶替德尚，接过“高卢雄鸡”的教鞭。

3、续约谈判出现分歧，上海男篮会留住洛夫顿吗

但事实上，除去这些经济成本外，时间与精力的投入才是宠物主最大的开销。树倒猢狲散！冲击季后赛失败，5人合同到期，下赛季恐要重建了从追赛事、刷热点，到与朋友相聚看球、分享欢呼时刻，消费者正以更多元的方式参与世界杯。

4、韩鹏有望做出重要决定！王大雷下一轮中超或继续首发，以官宣为准

由于这名前锋是米兰自家青训产品，这笔收入属于纯资本收益。

5、年度最秀操作！森林狼还能这么玩？

普通家庭不是这样。

6、加速进化亮相WAIC：旗舰人形机器人T2与开发工具Booster Studio首秀

考文垂方面则有兰帕德的个人关系加持，两人曾在德比郡和切尔西共事，但球队的平台吸引力显然不及纽卡。

前两轮，加纳一球未丢！这可不是偶然。

如果三层全给，15到30倍PE，市值拉到1.7万亿到3.5万亿，股价25到52元。

7、长内容创作者苦AI失忆久矣，这个新Agent漂亮填坑！门槛低到只需要会用键盘打字

北京时间7月6日早上8点，2026美加墨世界杯1/8决赛将迎来一场焦点大战，东道主墨西哥将在阿兹特克体育场迎战三狮军团英格兰。

一瞬之后，球网颤动。

8、科杰尔查首马破2，站在他身后的那个女人做对了什么？

” 事实上，图赫尔本人在32强赛击败刚果民主共和国后，曾详细谈及赖斯的身体状况。

那场比赛中，库尔图瓦在一次长距离移动后出现肌肉不适。

先跑出商业价值的主体，不一定是手握超大模型、充沛资源的巨头，也可能是长期扎根垂直产业、深度吃透业务场景的AI创业公司。

巴黎圣日耳曼的若昂·内维斯、克瓦拉茨赫利亚和维蒂尼亚三人身价同为1.4亿欧，分列第七至第九。