消息面的催化，来自于前一晚的“母告子”又撤诉的公告。

1、天博官方 你的出价，取决于你赌哪一层 三层溢价，每一层都有证伪条件。

一方首发是奥多古、希拉、帕夫洛维奇；丘库埃泽、科莫托、福法纳、巴尔泰萨吉；奥索拉、恩昆库；科斯蒂奇。天博官方储能既是保障供电连续性的最后防线，也是压缩交付周期的加速器。

2、从湖人宠儿到交易筹码：25岁克内克特1800万合同成累赘，紫金军团正在“甩卖”他

调平、校准、寻找参数、等待失败再重新开始，占用了用户本应花在创造上的时间；机器越需要被照料，3D打印越难成为一种日常行为。

3、2026年6月7日，亚历山大·兹维列夫改变了自己的人生

2023年全年，实控人朱双单与公司之间发生了复杂的资金拆借：公司向朱双单拆出资金2,567.20万元（期初）加上200万元（本期增加），合计2,767.20万元；朱双单向公司偿还1,350万元；公司又向朱双单拆出200万元。

4、拿下世界杯版权，小红书买下这个夏天的「超级素材库」

同赛道的直接对手也不少。

5、CBA重磅交易生成中！上海北京山西哄抢胡金秋，亿元先生诞生？

如今合同只剩一年，巴黎的兴趣让形势急转直下。

2018年，中际旭创在行业内率先量产400G光模块，奠定了高速率产品的先发优势。

进入7月，新上市公司的股价表现同样整体走低。

6、美议员想得挺美：用中国交的税搞个银行，这招最爱国

25-26赛季，他各项赛事为亨克出战49场，贡献3球14助攻，其中欧联杯13场2球1助攻。

瑞浦兰钧联合TÜV莱茵与Circulor推出的电池护照项目，98组独立验证数据集已获欧盟NB机构第三方核验。

7、笑喷!梅西赛后本想跟英格兰队握手,一看贝林厄姆巴尔科打架转头就走了

里奇（2300万欧元签下）和德温特（2000欧元签下）的表现勉强算是匹配了自身身价，但还没有冲击主力阵容的实力。

瑞典队的表现则如同过山车。

8、硬氪首发

储能正在从数据中心的“选配”变成“内建”。

这种操作模式让人自然想到另一名旧将马利克·佳夫。

本场比赛，法国打平就能获得小组第一，而挪威必须赢球才能拿到小组第一。

9、相当于5换1！湖人完成交易，东契奇想要的中锋来了！

马斯克把特斯拉定位为AI公司，但AI公司的特点正是现金流像无底洞，没有可以折旧的硬资产，只有不断膨胀的研发账单。

这几项，全部低于华尔街预期。

10、官方：2020年CBA选秀状元区俊炫加盟NBL香港金牛

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。

他进一步解释：“领先后，我们没有继续追求第二个进球。

1、记者：詹姆斯没有举行加盟新闻发布会的计划

意甲收官战结束后，米兰老板卡迪纳莱火速炒掉了主教练阿莱格里、体育总监塔雷、CEO富拉尼和技术总监蒙卡达。

2、你可以踢得比我漂亮，但必须先把我杀死

拆解这份投资方名单，你会发现它的“含金量”远不止于金额本身。

3、三方交易：多尔特内姆哈德赴老鹰 雷霆获3次轮签 独行侠获里萨谢

那么对于米兰来说，照搬利物浦模式行得通吗？ 意甲的环境和英超有很大不同，无论是商业收入规模、联赛竞争力还是球迷文化，都存在显著差异。超级选秀小年 前3顺位球员不堪重用 为何雷霆却能低顺位淘到宝有了这一“前车之鉴”，FIFA在处理此次事件时有了更明确的参照。

4、4年4次最佳一阵+2次票王，却只赢过一轮系列赛！他也开始变老了？

后续几天还将安排更多检测，但早期评估已发现德容右膝存在明显的不稳定性和潜在的韧带损伤。

5、掌舵2万亿金融央企！60岁“金融老将”谭炯跨司履新，出任中国人保党委书记

这段“只有投入、没有产出”的阵痛期，考验的不仅是马斯克的决心，还有资本市场的耐心。

6、豪斯:在火箭打球信心爆棚 熟悉球队打法让我速热

超节点要做的，就是通过高速互联和统一内存语义，把分散在数十台服务器里的成百上千张芯片，压进一个低延迟、高带宽的域内，让它们像一张芯片那样协同工作。

本场比赛是两队在世界杯赛场上的首次交锋，参考意义更多在于心理层面而非战术层面。

2026年Q1全球份额约8%，排名第四。

7、11.8 万人入场！Ye 刷新全球体育场演唱会纪录

上赛季，科莫托在意乙共出场28次，其中9次首发，累计出场时间1254分钟，平均每次登场约45分钟。

IPO的传闻还在发酵。

8、任仲夷猛批两个凡是：有人说毛泽东思想是检验真理的标准，这不对

与此前一样，掌握进攻节奏的仍是西班牙，比赛还剩二十多分钟时，他们整体控球率仍维持在63%。

据InfoLink等机构统计，2025年全球储能电芯出货量约610GWh，同比增长超90%，单四季度就突破200GWh。

按照罗马诺的披露，教练组要的是一名能游走在拉莫斯身后、在前场三分之一区域自由移动的边锋或攻击型中场。

这已是中国央行连续第20个月增持黄金。