综合来看，日本队在状态连贯性上占优，且手握积分优势和心理优势。

1、米兰体育 篮球圈的故事同样精彩。

单用户单次对话可产生约10GB KV缓存，千级并发场景总量可达1TB，上万用户规模下整体缓存容量突破百TB。米兰体育该倡议由球迷吉塞拉·桑切斯发起，矛头直指斯洛文尼亚主裁判斯拉夫科·文契奇在上周日纽约决赛中的执法表现，要求国际足联重新审视比赛中的判罚决定。

2、2026围甲联赛第八轮浙江浙商证券继续领跑，上届亚军继续低迷仍未脱离保级区

结合多家机构综合数据来看，今年以来存储行情延续2025年下半年涨势，其中第一季度通用型DRAM合约价格环比涨幅达55%至60%，NAND闪存产品价格上升超过30%，消费级大容量QLC产品涨幅不低于40%。

3、举杯欢聚！7月3日，与青岛崂山啤酒男篮共赏世预赛

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。

4、年薪230万，3分命中率高达91%！29老将打出身价，总决赛或成奇兵

他的产业履历，刚好踩中了三波AI技术浪潮：计算机视觉、自动驾驶、世界模型。

5、刘君慧VS朱卿，谁会是第一个跑进70分的半马大众女选手

卢库米刚刚代表哥伦比亚征战了2026年世界杯，合同仅剩1年且明确不会续约，博洛尼亚必须在今夏将其变现，否则明年将面临免费流失。

拥有姆巴佩和登贝莱这对金球奖级别的锋线组合，这支独一档的法国队正以不可阻挡之势高歌猛进。

这让 3D 打印的关键链路变短了：从“我想打印一个东西”，到“机器开始工作”，中间少了很多过去只有老玩家才能跨过去的台阶。

6、三方4人大交易！尼克斯夺冠功臣，被卖掉了！

我们与张立华和杨鼎康聊了2个小时，话题从英伟达PhysX的技术传承延伸到世界模型热潮中的冷思考，从显式物理模拟的技术壁垒聊到矿山和工厂里的真实落地。

这一改善得益于预期收入增长、大幅降薪以及对球员离队的精细运作，使得俱乐部能够在正常条件下注册新援。

7、4.3万人观赛费德勒创历史 官方没钱无缘上榜吉尼斯

这不仅仅是一串冰冷的数字，更是梅西用二十年职业生涯、用无数汗水与热爱铸就的丰碑。

三次射门，零射正。

8、阿德巴约打人事件后续：希罗试图还手被拉住 如今只想放下彻底翻篇

对于滔搏来说，它目前面临的问题或许不是还能签下多少国际品牌，而是有没有能力培育出一个真正属于自己的品牌。

亨克对于卡雷察斯的态度十分强硬，俱乐部刚刚与球员续约至2029年，不存在出售压力。

葡萄牙的球星迷失与巴西的战术脱节，为所有迷信纸面实力的球队敲响了警钟；而阿根廷的逆袭，则是对团队足球最好的赞美。

9、公安部：到6月底全国驾驶人达5.67亿，较大道路交通事故同比下降8.8%

三条业务线，商业化进度不一 技术之外，市场更关心的是，极佳视界的商业化到底走到哪一步了？ 简单来说，三条路线进度不一：自动驾驶最成熟，工业刚起步，家庭还在验证。

马德里一片红金交织。

10、辛卡领衔 虎妞入围 2026年劳伦斯体育奖提名公布

7月30日，球队将前往骑士头公园球场对阵伯明翰城，这也是今夏首场公开热身赛。

双方似乎都在用一种体面的方式，为这段充满遗憾的世界杯征程画上句号。

1、猛龙队内人士透露，唯一能搅黄科怀·伦纳德与快船队交易的因素

在远期规划方面，米兰老板卡尔迪纳莱对利物浦队长范戴克仍抱有浓厚兴趣。

2、科普｜APO复消色差与各品牌APO镜头的历史

这支欧洲冠军级别的球队正在重塑锋线，费兰成为了他们的优先目标之一。

3、季后赛一场未打还拿顶薪！北京争议内线或被交易，张云松忍无可忍

马德里竞技是主要竞争对手，西蒙尼对尤尔曼十分欣赏。惊险！中国女排3-2拿下美国，这6个细节得承认，3位老将立大功（本文首发钛媒体APP，作者 | AGI-Signal，编辑 | 赵虹宇）钛媒摘声：国内公司：国外企业：政策风向：股市行情：其他重要内容： 【钛媒体综合】据证监会官网消息，7月23日，中国证监会召开党的建设暨监管工作座谈会，总结上半年系统党的建设和监管工作，分析当前形势，推动完成全年目标任务。

4、该休息时就休息！曝朱婷缺席训练 将无缘战老东家

然而到了2022年，全球电信市场和数通市场双双进入下行周期，光模块销量从2021年的1041万只滑落至2023年的745万只。

5、接连有中国公民在法意外身亡，中国驻里昂总领馆提醒

此外，球队将在8月8日参加弗留利-威尼斯朱利亚杯三角赛，对阵乌迪内斯和诺丁汉森林。

6、名嘴:孙颖莎杜莎夫人蜡像馆蜡像展出6天就被毁了 到底是谁干的?

这种模式对集群调度提出了更高要求。

拉长周期来看，自去年碳酸锂价格触底反弹后，天齐锂业股价曾迎来一轮修复行情。

”2026世界杯决赛前夕，德国足球名宿胡梅尔斯在Magenta TV的演播室里，对着镜头来了一番不留情面的自我剖析。

7、德转宣！上港中卫位置迎来久违的新外援，曾是欧洲联赛主力

从长远来看，特斯拉储能业务的毛利率将维持在 20% 的低位。

中国兵器工业集团、航空工业成飞、航空工业民机机载、中国邮政速递物流等央国企集中展示核心技术解决方案；昂际航电、西门子、达索系统、恩斯克、赢创特种化学等外资企业携国际前沿技术参展；亿航智能、众合科技、华测导航等上市企业展示商业化落地成果；沃兰特航空、时的科技、峰飞航空、御风未来等初创企业携多款 eVTOL 机型登场。

8、大众一姐朱卿对国际选手“五连追”秘辛，她与罗源做对了什么

亚马尔创造了五次关键传球，完成了21次成功过人，这项数据在所有参赛球员中高居榜首，此外还送出六次精准传中。

市场价摆在那，不给够人早就跑了。

核心看点四：中场绞杀与体能分水岭 比赛的胜负手，极有可能隐藏在中场的绞杀与下半场的体能走势中。

"痛苦是巨大的，这道伤口很难愈合，"梅西在Instagram上写道，同时向西班牙队表示祝贺。