今夏的AC米兰正处于阵容更迭的关键节点，随着阿莫林执教时代的正式开启，多名球员被列入待清理名单，当前最受关注的当属效力球队五年半的六朝元老托莫里。

1、熊猫体育 最后，希望大家未来的投资生涯，既能保持对右尾机会的想象力，也始终保持对左尾风险的敬畏心。

许多产品被诟病“接入豆包、元宝、DeepSeek就能实现”，本质上只是语音助手的“萌版”。熊猫体育她们希望看到跳出模板化的创新创作，打破长期的审美疲劳。

2、拿了MVP却被挤到角落，新来的小弟都敢欺负他！NBA最没排面的老大

所有人都能感知到，今年WAIC的热度超越以往。

3、三分命中率57%换不来续约！35分钟豪掷2.6亿，功臣班底却一个不留

钛媒体：能否具体谈谈客户对降低TCO的需求和场景？ 俞康：一个最直接的因素就是占地空间。

4、27+10+92.2%！效率逆天！最可怕的是，他连球队老三都算不上

但脑机接口它牵动的不只是医疗器械，还包括芯片、电极材料、精密手术机器人、人工智能算法，也牵涉数据安全、生命伦理与监管边界。

5、14~15日山西这些地区将出现区域性暴雨、局部大暴雨！

对涉事企业而言，拖得越久，信任消耗越大，最终付出的代价越高。

这种熟人效应让托莫里在尤文的候选名单上具备天然加分。

对我们来说，迭戈是国家极为重要的象征。

6、阿森纳新增锋线引援目标，报价布鲁日边锋，两赛季43球45助攻

不过，吉拉面临的竞争同样激烈。

本届世界杯，克罗地亚的定位球进球占比达到40%，是球队重要的得分手段。

7、郭奇芳，生日快乐！

在梁文锋4小时的闭门会里他提到了对竞争的态度，他说：“我也不担⼼别⼈部署我们的模型，然后跟我们来竞争，⼀点都不担⼼。

随着重建的推进，红鸟老板和他的顾问伊布似乎产生了重大分歧。

8、南京城市官方：外援罗伯蒂尼奥即日起将自由身离队

转折点出现在疫情期间的那届美洲杯，阿根廷在马拉卡纳球场捧起冠军奖杯。

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。

而背后折射出来的，是整个便利店行业在“收缩现状”下的进攻式防守。

9、湖人VS火箭，太下饭了！

特斯拉Q2净利润11.72亿，同比-16%。

费兰与恩里克私交甚笃，而巴黎方面恰好需要为贡萨洛·拉莫斯寻找一名直接替代者，因此将他列入了引援名单。

10、1982年，洪学智买录像机却被批败家，杨尚昆：都去看看基层啥样了_网易订阅

将近二十年后，梅西在世界杯决赛的球场上，俯身对那个婴儿耳语。

真正把“机器人大脑”作为核心产品，同时拥有连续世界模型积累、具身策略能力和产业客户入口的独立创业公司，数量并没有想象中那么多。

1、经过两年历练，谢智杰迎来兑现天赋的关键窗口期

若非贝林厄姆在对阵墨西哥和挪威的比赛中连场梅开二度、以一己之力扛着球队前行，英格兰恐怕早已止步16强。

2、0球0助攻0出场！继德尚后，法国又一功臣或离队，齐达内恐也有心无力

道路两旁，身穿红黄两色球衣的球迷汇成一片海洋。

3、0-3遭江苏双杀！山东女排小组第一梦碎，四强遇上海晋级前景堪忧

其核心的汽车业务仍在盈利，但利润像挤牙膏一样微薄，无法支撑起如此庞大的烧钱计划。北京男篮最新消息！张云松接近八位数拿下布朗，陈盈骏续约年薪有分歧，球队功勋无缘续约葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

4、超级小年！美媒重排24届新秀：扎克-伊迪冲到第四，卡斯尔登顶

奥亚萨瓦尔——决赛前已有五球进账——和法维安·鲁伊斯被巴萨组合佩德里和费兰·托雷斯换下，德拉富恩特想给球队带来些不同的东西。

5、Shams：骑士湖人均有意库明加 或成詹姆斯替身

但真正卡脖子的，不只在芯片本身，也在造芯片的机器。

6、中国裁判第2人！42岁张潇执裁NBA夏联 李楠刘晓宇张云松观战_网易订阅

这些经典名场面不仅丰富了足球史的叙事，更让两国民众的对立情绪在代际传递中不断固化。

诺和诺德从一开始就对GLP-1资产抱有“咬定青山不放松”的姿态。

在别人的地盘上做客，随时可能被扫地出门。

7、2026年青岛市高校招生咨询会圆满举行！篮球公园开启暑期35元不限时模式

就连马斯克也在X上留下一句“Impressive”，而中信建投直接将其定义为另一个DeepSeek 时刻。

国内的情况更复杂，GPU 生态长期占据主导，CUDA 工具链和开发习惯构成了很高的迁移门槛。

8、湖北文旅“接盘”告吹，君亭酒店为啥没人买单？

辞退阿莱格里后，米兰把工作的重心放在选帅上，此前他们的头号目标是伯恩茅斯主教练伊劳拉，但这位西班牙少帅倾向于加盟水晶宫，因此红黑军团需要重新寻找新的目标，伊布列出一份7人名单，几乎没有重量级的主帅。

他曾先后任职于汉堡、西布朗、桑德兰、凯尔特人、莱斯特城和亚特兰大，发掘了像伯特兰德、斯图里奇、卡库塔、布鲁马、辛克莱尔、博里尼这样的球员，代表作是汉堡时期引进恰尔汗奥卢和亚特兰大时期引进卢克曼，整体履历上来讲不及塔雷。

随着姆巴佩和登贝莱的状态全面爆发，这支独一档的法国队正高歌猛进，向着大力神杯继续昂首挺进，并且无可阻挡。

塞尔维亚人的表现受到多支豪门关注，英超方面切尔西和曼联都有意引进球员，米兰的心理价位在5000万欧元左右，一旦套现帕夫，他们将全力签入吉拉补缺。