储能电芯排产数据显示，其正以季度环比加速的节奏快速消化碳酸锂库存。

1、hth官网登录 第二顺位候选为阿拉伊贝戈维奇，伊布对其推崇万分。

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。hth官网登录作为国内存储行业龙头，公司距离科创板上市更进一步。

2、安徽2026公师生历史类分数降了但位次前移，北师大物理类大涨22分

同样重要的是——也许更重要——曼联一旦恢复一周双赛的节奏，恐怕不会再有上赛季下半程那种从容和锐利了。

3、史上最赚钱的投资之一！谷歌对Anthropic持股价值已飙升至1240亿美元

他和拉马尔一样独一无二，我们必须90分钟全程保持警惕。

4、广州杀回来了！经济增速领跑一线城市！

02 播客为什么特别盛产这些词 这首先和中文播客的核心听众有关。

5、韦东奕拿国家二等奖仅1天！荒唐的一幕出现了，嫉妒心真害死人

adidas户外线启用全新中文名「山川里」 7月21日，adidas宣布旗下户外线正式启用全新中文名称「山川里」，提出「自由流动」的新理念，并同步发布品牌概念片。

通过AI音乐和AI语音的双轮驱动，趣丸科技正在成为文娱产业的“新基建”提供商。

到了2023年底，双方签了一份《债权债务确认协议》，把朱双单欠公司的钱、公司欠朱双单的分红款和股权转让款“一笔勾销”。

6、让冰箱扩容50%！10件逆天平价神器，收纳瞬间多1㎡~

政策、资本与产业化同时提速，“脑机接口第一股”的角逐，正式进入倒计时。

这种摆大巴加反击的战术虽然观赏性不足，但实战效果很好。

7、弘康人寿减持郑州银行(06196)50万股 每股作价0.9港元

（图源：AI生成） 横向测试覆盖11个商用大语言模型，所有测试均在智能体配置下进行。

阿拉伊贝戈维奇之所以能够引起这么多豪门的关注，与他在世界杯上的惊艳表现密不可分。

8、深挖

俱乐部内部认为，约3000万欧元的转会费是兼顾竞技与财务利益的理想区间，既能带来可观的资本收益，又避免了低价抛售的损失。

在达拉斯体育场，法国队以0-2不敌西班牙，黯然止步四强。

时光回溯至五年前，哈兰德与贝林厄姆曾是那支崇尚青春风暴的多特蒙德阵中最耀眼的两颗新星。

9、10家航空公司被约谈 5家线上售票平台被约谈

这也让无数巴萨球迷产生了强烈的共鸣。

阿拉伊贝戈维奇当前的德转身价为2200万欧元，米兰想要签下他并不容易，需要面临激烈的竞争。

10、2026年中国手游行业热点研究白皮书

纸面实力上英格兰阵容厚度更优，全队身价接近14亿欧元。

与此同时，FSD 交出了一个更具体的数字：截至二季度，开通 FSD 的活跃用户达到 148 万，同比增长 56%。

1、中卫还有雨

只握着一个平台入口、无法触及网络存储和计算环境的公司，根本给不出“任务何时能跑完”的确定性承诺。

2、女主播Emiru答"男厕潜规则"得满分 她太懂男人了

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。

3、不止是球员更是标杆！马龙竟破格参赛，背后是国乒的顶级布局

今年夏窗，管理层有可能会考虑套现莱奥，但价格不会太高。20岁大学生花10天VibeCoding一个开源项目，获盛大3000万投资西甲收官战：姆巴佩的短暂喘息（0胜1负） 2025/26赛季西甲第10轮，皇马主场2-1小胜巴萨，姆巴佩打入制胜球。

4、前妻前总统之女最高可分走10亿美元！韩国SK掌门人天价离婚案今日正式宣判，男方曾公开承认长期婚外情，且育有私生女

但变革的另一面是风险。

5、喜报：温宜公主凭本事考上北电，终于不用靠她额娘争宠了！

OpenAI不惜砸下65亿美金抢55人，国内更开出了2亿的年薪。

6、华尔街银行大赚IPO佣金，黑石股价却跌超20%，转头盯上了富豪的钱包

预测英格兰2-1阿根廷晋级决赛，次选平局进入加时。

单次训练时长通常不超过90分钟，部分高强度课甚至压缩到45分钟，但单位时间内的冲刺、对抗、逼抢强度极大。

一场「永无落幕的电影」 当然，如果你和我一样是LABUBU的粉丝，我会推荐你另一种体验方式。

7、拓展应用场景 “人工智能+”赋能产业数智转型

”据西班牙《世界体育报》消息，巴黎圣日耳曼正式推进对费兰·托雷斯的追求，巴塞罗那已经准备好采取强硬立场。

一边是欧洲传控天花板的斗牛士军团，一边是南美铁血防守也有脚下技术的潘帕斯雄鹰，两队打法风格不同，但也有相似点，梅西是西班牙拉玛西亚青训的大师哥、杰出代表，世界杯决赛赛场博弈激烈、身体对抗频繁，要拼身体，也要拼技术，更要拼毅力和勇气。

8、RLinf v0.3来了！从模型生态到真机部署五大能力跃升，无问芯穹与清华大学联合打造

科特迪瓦常规阵型为4-2-3-1，凯西、桑加雷组成的双后腰中场绞抢能力出色，前场依托佩佩、迪奥曼德两大边路爆点反击推进，冲击力十足。

无论在自然光、室内冷光还是夜晚路灯下，男子的面部特征、发型和体态始终保持高度统一，没有发生常见的“换脸”或形变。

在周三进行的世界杯半决赛法国对阵西班牙的比赛中，法国中卫威廉·萨利巴因背部剧痛倒地离场。

28岁的拉什福德上赛季租借效力于巴塞罗那，但西甲冠军最终决定不激活合同中2600万英镑的买断选项。