这种“先手”优势，让中际旭创在产业链中占据了主动的位置。

1、Kai云体育 如果凸性来自续约率提升，那么续约率连续下降就是失效信号。

球队以东京奥运会U23班底为核心，瓜达拉哈拉青训球员为主干，8名旅欧球员构筑防线与中场硬度。Kai云体育日本队26人大名单中有23人效力欧洲联赛，其中12人是五大联赛主力，阵容欧洲化程度在亚洲球队中独一档，三条线都有旅欧主力压阵，没有明显短板。

2、欧协联资格赛前瞻：马利舍沃迎战希伯尼安 苏超劲旅新赛季首战

酷睿程将基于白盒授权模式，依托地平线的AI基座大模型能力，开发大众汽车集团中国统一的AI驾驶解决方案，以推动大众L3和L4级自动驾驶能力落地。

3、双城战守护者赛前热议：威廉姆斯vs布拉德利投手对决

这大概是A股今年最暴利的业绩预告之一。

4、这才是本届世界杯真正“死亡之组”！F组之后，又1小组全军覆没

这些合照和视频自然引发了广泛关注。

5、佩德里决赛前致敬梅西：他是历史最佳，但90分钟后我会拼尽全力击败他！

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。

那么，为什么是Kimi？ 第一，两家公司技术层面的联动。

他还预测称，CPO或将在2028年起量，而按照这个时间表，今年预计市场就会看到相对成熟的方案。

6、郑钦文再遇“苦主”，吴易昺挑战德约！2026温网签表出炉

一方面，它为中国模型提供一个看得见的方向：通过开源卡位模型心智，利用模型架构创新和工程化能力能降低训练、推理成本。

面对防守坚韧的瑞士，阿根廷若想继续前行，必须在稳定性上做出巨大提升。

7、LPL午后焦点战：皇家队刚取大胜，卡普斯上轮仅输5分，这次谁能抢下前四身位？

根据官方公告，弗兰的初始合同将持续至2027年3月。

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。

8、35岁吉诺·史密斯重返纽约：2026年或是他NFL首发生涯最后一搏

乐园专门为海盗船制作了一段音乐，在刺激的游戏体验里，LABUBU们整齐地喊着号子，像在打气，又有点恶作剧成功后的兴高采烈。

但短板同样明显，他身材瘦小对抗偏弱，门前终结效率一般，防守参与度低，头球和高空争抢薄弱。

这笔交易不仅为莱比锡带来了丰厚的利润回报，更证明了克勒舍在发掘潜力新星方面的独到眼光。

9、特朗普世界杯颁奖仪式抢镜：颁完奖赖着不走，被因凡蒂诺笑着请走

《每日邮报》还指出：“切尔西的兴趣浮出水面之前一个月，俱乐部消息人士曾试图否认圈内关于他们关注斯通斯的传闻。

AI可以在几秒钟里生成比多数人更工整的道理，真正变得稀缺的，反而是一个具体的人坐在另一个人面前，停顿、犹豫，说出无法被标准答案概括的经验。

10、中超垫底球队官宣与主教练及9名球员续约，稳定军心誓要保级_网易订阅

同时，耐克ACG还冠名赞助了刚刚结束的崇礼168超级越野赛。

当然，后瓜迪奥拉、后克洛普时代的英超，卫冕难度或许有所降低。

1、22岁加纳乔被切尔西放弃，租借维拉寻救赎，埃梅里能否点石成金？

通过这一套举措，滔搏也确实从“代理商”逐渐变成了“品牌运营商”，不过还原到本质，只是把“给一个大品牌打工”，升级成了“给一群小品牌、更用心地打工”。

2、ESPN名记：天使队“非常开放”交易有控制权的球员，德特默斯和内托成最大筹码

对于米兰来说，如果连续第二年拿不到欧冠资格，冲击远不限于竞技层面，甚至可能会遭遇大崩盘。

3、丢冠登封面，揽13奖仍遭弃？NBA 2K27弃布伦森引爆争议 球迷怒问：这是玩笑？

装车率的持续走低，是产业从青春期走向成熟期最清晰的数据信号。镜面人+罕见病，她顺利生下健康宝宝阿根廷在又一场充满戏剧性的淘汰赛之夜后，与西班牙会师决赛。

4、曼城核心罗德里再遭重创：世界杯金球奖后接受背部手术，或长期缺阵

企业自身也从工具销售的逻辑变为效果付费的逻辑。

5、保国足进世界杯？因凡蒂诺亲承，世界杯或再迎扩军到64支，球迷却一致不看好

对厂商来说，深耕现有角色的世界观、补全遗留剧情，投入成本高、周期长，商业回报微乎其微。

6、托纳利与费尔南德斯完成首秀，热刺1.85亿镑新中场首战即统治比赛

世界杯淘汰赛，英格兰磕磕绊绊，先后淘汰民主刚果、墨西哥、挪威，都是一球险胜晋级；阿根廷也是磕磕绊绊，先后淘汰佛得角、埃及、瑞士，其中2场比赛进行了加时赛。

两大国产SoC龙头同样交出了超预期答卷。

受限于不同的市场环境，Anthropic的这套模板虽然并不能被中国的模型公司直接照搬，却意味着他们不必只在「做一个中国版ChatGPT」和「转型做应用」之间二选一，而是有了另外一条已经被阶段性验证过的前进方向。

7、莫利纽克斯三杀助南方勇士逆转 百人赛8分险胜威尔士火焰

俱乐部老板豪尔赫·马斯表示：“卡塞米罗的到来，体现了迈阿密国际的愿景与雄心。

它首先必须成为一门严谨的医学，继而成为一套可靠的系统工程，最终才有机会成长为规模化的产业。

8、战国安开重奖，辽宁铁人冲击前6，张岩5月最佳实至名归，姆本扎争破球荒

2026年被称作固态电池“量产元年”，但需要加一个重要注脚：这里的固态，主要是混合固液（半固态）路线。

这意味着融资逻辑不只是财务回报，还绑定了地方产业布局、工厂场景落地、供应链协同等多重诉求。

大批中国商界大佬齐聚美国新泽西东卢瑟福的大都会人寿体育场，随后各类视频和消息传出，在中国的互联网上掀起了不小的讨论热度。

杨元庆、李彦宏、陈立武、方洪波几个人站西班牙队，程维、李东生力挺阿根廷。