但身价差距主要集中在锋线双星，整体阵容深度两队其实相差不大。

1、博富体育 世界模型借鉴了认知科学的思路，人做复杂动作前会先在脑中预测，世界模型就是在模拟这个过程，帮助机器人提升泛化能力。

原本位于北京798的INNER FLOW画廊改名POP MART GALLERY重新开放，不同于之前的当代艺术画廊定位，POP MART GALLERY成为泡泡玛特自有IP在北京重要的策展中心，底层是对其IP公司属性的再一次明确。博富体育它需要审核、授权、分成、版权保护，也需要处理创作者和 IP 方之间的利益关系。

2、爆冷！瓜迪奥拉曼城生涯最后一战，6万多球迷见证，曼城惨遭逆转

第二类是VLA端到端策略模型。

3、退役军人王鹏：扎根乡村 成为剧社坚实后盾

就连细分赛道的Wi-Fi MCU龙头博通集成，净利润也实现149.59%至175.59%的同比增长，归属于上市公司股东的净利润为4800万元至5300万元。

4、哈市2026年省重点高中第二批次学校及面向九区招收统招生的市重点高中学校统招录取分数线公布

21万辆车批量出现行驶中断电、电芯鼓包漏液，放到任何一个成熟的汽车市场，这都够得上启动召回的标准。

5、这家银行评级被下调！什么情况？

当然是他。

孔德认为，这位年轻边锋的自信恰恰反映了他的个性，法国队的备战工作并未因此受到任何影响。

产品只需要把体验做得更好。

6、建议大家：这5个设计，装着贵一点，住着爽10年，真不用节省

全队总身价高达10.1亿欧元，FIFA世界排名第8位，是本届世界杯的夺冠热门之一。

从股东名单中可以看出，头部机构早已开始“多点押注”： 这种分散下注也有其现实逻辑：脑机接口至今没有出现一条通吃所有场景的技术路线。

7、台风“红霞”或以巅峰强度登陆！部分地区将出现极端降雨，26日广东全省铁路全线停运；上海会凉快吗→

现在他们积67分，与罗马持平，仅仅凭借直接交锋优势暂时压在对手身前。

Wagas全新概念店WAGAS SKAGEN全国首店入驻成都太古里 近日，Wagas在成都开出了全新概念店WAGAS SKAGEN，把一座“丹麦小镇”搬进成都太古里。

8、大地熊董事曹庆香增持9950股，增持金额21.98万元

弗里克已向体育管理层明确表示，他的首要任务是在进攻端的数量和质量上双双升级，且这不会妨碍球队补强其他位置——比如后防线。

防守端，他们前28轮意甲合计仅失20球，完成13场零封，零封率高达46.4%，场均失球0.71个，放在五大联赛也是冠军级别的表现，转折发生在3月的德比战之后。

场均22.5次解围、10.2次拦截的数据，足以说明澳大利亚的防守强度。

9、105比72狂胜33分！广东掀翻辽篮苦主晋级：锁定第1冲冠稳了？

此外，随着边路猛将尼科·威廉姆斯的满血复出，亚马尔也是渐入佳境，西班牙的“魔幻双翼”将直接考验法国队转身偏慢的边路防线。

尽管阿囧几乎用了一整个赛季去调教莱奥踢中锋，但他还是很难适应这一新角色。

10、威海：法治护航企业合规体系建设 聚力优化营商环境

米兰出售这两人的直接目的是腾出薪资空间，用于引进技术特点更匹配、功能性更强的中场球员。

他们的存在，让下半区的每一场对决都充满了变数。

1、童声演绎唐诗新韵 济南少年亮相亚洲国际艺术赛事

俱乐部的头号目标是签下一名能扛起弗利克锋线的主力中锋，阿尔瓦雷斯依然排在引援名单首位。

2、vivo Vision MR头显即将发布，产品经理透露三大核心体验

第一次，让滔搏学会不能只依赖耐克；第二次，则说明了一个更残酷的事实：再强的运营能力，也抵不过品牌所有权。

3、普京一声令下，俄导弹密集发射，基辅陷入火海，泽连斯基紧急回国

对于一支刚刚经历了疯狂引援夏天的球队来说，这趟南半球之旅，或许比结果本身更重要。山东泰山夏窗调整！2人确定离队，外援按兵不动，年轻人机会来了说到底，就是这样。

4、徐杰与林葳互换？宏远官方表态，经纪人也出来辟谣，真没这回事

但现实是，过去两年，原材料涨价时公司连成本都转嫁不出去。

5、辽篮速递！郭艾伦有意重返辽宁，上海想要挖走赵继伟，广东18岁新星转会辽宁，新赛季主教练基本确定

滔搏表示，理解并尊重耐克基于品牌长期发展战略所做出的渠道调整决策。

6、意甲最新积分战报：科莫轰入4球，米兰1-2卡利亚里，尤文无缘欧冠

接下来，姆巴佩将在三四名决赛后返回皇马。

在审计、巡视对“明股实债”“变相增加地方隐性债务”进行穿透式检查的背景下，所有未打款、未完成备案的项目必须重新进行合规审核。

其一是旗舰模型Gemini 3.5 Pro的发布一再推迟，最新发布的三款轻量模型表现不佳；其二，过高的资本开支已经使谷歌的自由现金流转负；最后，公司正面临持续的核心人才流失，两位核心研究人员先后投奔竞争对手OpenAI和Anthropic。

7、全网打工人破防：原来最懂光头强的，是我自己

如今，据《i报》报道，热刺、切尔西和阿森纳三家英超俱乐部都有意在今夏将拉什福德招致麾下。

但我们没能做到这一点。

8、对话光子跃迁总裁袁谦：AI重写影像战争，光子跃迁要如何突围？

尽管经常是三中场中的首选，但法国人在最近三个月里被换下的频率越来越高，有几次甚至没能拿到首发。

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。

国家队三连杀：半决赛的“法国终结者”（3胜0负） 在国家队层面，亚马尔对姆巴佩的压制更为彻底。

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。