不过米兰对后防线的改造才刚刚开始，据悉，英格兰中卫托莫里离队已进入倒计时。

1、星空体彩 此外，普利西奇和萨勒马克尔斯的首发位置也不稳定，一切要看近几天训练场的表现而定。

AI推理并不是一个单纯的计算过程，而是一个完整的数据流动过程。星空体彩真蓝黑CEO佩尔卡西的一番话也意有所指：“我与他有着非凡的关系，我非常清楚他近年来在这里所取得的成就。

2、绝唱之约！美加墨终极剧本开启，梅罗会师决赛究竟还有几步？

Delta决定标的动一下，期权大致跟多少。

3、30个月拉锯，从资不抵债到24亿美元卖出：他如何改造一家濒危银行？

不过，球队也暴露出进攻节奏有时过于拖沓的问题，在面对低位防守时缺乏向前的直线渗透，过多横传容易让对手防线从容落位。

4、央视怒批、脑袋空空？杨紫座谈会上7分钟发言 给内娱明星上了一课

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。

5、宏远早报！广东官方发声，杜锋续约浮出水面，朱芳雨做重要决定

他很难像在巴萨那样自如，又接连遭遇厄运，连续输掉了2007年、2015年和2016年美洲杯决赛，以及2014年世界杯决赛。

（本文作者 ｜ 张帅，编辑，杨林）Kimi和杨植麟正拿到了DeepSeek的「国运剧本」。

综合来看，纽卡斯尔最终胜出的概率更大，米兰对托莫里的要价在2500万欧元左右。

6、A股史上最大股票回购方案！宁德时代上半年净赚超432亿元，拟以200亿至400亿元回购股份用于注销

学术一路顶格，但黄冠不是待在实验室的纯学者。

来源：Counterpoint 随着下游终端厂商抵制情绪不断积累，叠加消费市场拒绝为上游成本上涨买单，这场持续超过一年的存储涨价拉锯游戏，正在迎来新的拐点。

7、华勤技术(03296)斥资9089.98万港元收购合共265.57万股晶合集成H股

"过去这些年，青训太看重短期成绩了。

眼下危险的价格链已经形成：新车均价同比降了9.1%，疯狂的降价直接碾碎了二手特斯拉的行情，均价跌至27,814美元，赫然跌破行业均价28,039美元。

8、广东中山市陵岗扣车场突发火情，网友称多辆车遭波及；回应：仅一辆车被烧，无伤亡， 起火原因正查

然后是朗尼克，米兰目前的想法是让其出任技术总监，但不能完全排除主帅席位。

至于新中卫，巴萨眼下并不将其视为优先事项。

第一个目标是来自博洛尼亚的卢库米。

9、欧化(01711.HK)：冯佩玲将获委任为秘书及授权代表_网易订阅

但随着“科技小登”股价跳水，上述公司实控人的持股市值也随之下行。

"出来了很多真正会踢球的年轻人，技术干净利落，传球到位，长传转移也有质量。

10、关注

NBA的成功经验不能简单照搬到足球领域，需要结合足球运动的特点进行本土化改造。

由于新赛季米兰要面临多线作战，需要储备5-6名中卫进行轮换，从体系适配角度，德温特的多面手属性恰恰契合三中卫体系对轮换深度的苛刻要求，他的留队为米兰补强其他中卫位置提供了缓冲。

1、专业和分数是个谜！38岁清华毕业生李龙被北大医学部八年制录取，网友爆真相

但半导体设备是典型的成长股，不能只看当下利润。

2、挖掘南粤精神底色，长篇历史小说《莽王》研讨会在广图举办

北京时间7月12日凌晨5时，2026年美加墨世界杯第三场1/4决赛打响，又是欧洲内战，黑马挪威对阵夺冠热门球队之一的英格兰。

3、曼联考察埃德森替代者，戈麦斯亦成候选！已定转会被取消细节曝光

世界杯四分之一决赛，英格兰在迈阿密2比1险胜挪威，贝林厄姆再次当选全场最佳，又一次用惊艳表现扛着球队往前走。瑞士主帅开炮：我们比阿根廷更配赢！裁判毁掉胜利，不解红牌规则如果朗尼克能够上任技术总监，那么格拉斯纳更将成为头号人选。

4、万科董事会换届前夕再获深铁 5.19 亿元借款

梅西用一句“好好跟我说话”，不仅捍卫了阿根廷全队的尊严，更给所有质疑者上了一课：在绿茵场上，赢得尊重的永远不是委曲求全，而是坚守底线。

5、福利来了！库尔勒一景区免票半价同步开启，速看优惠人群→

多出来的30平方米在哪？ 施工方解释，板材裁切下来的废料也属于阿浩，所以也要算钱。

6、火箭仅补充三人能争冠？媒体人：他们具备了争冠级别阵容深度

英阿大战从来不止于足球本身。

这笔1500万级别的出售，将成为米兰今夏清洗的第一笔正式收入，也为后续的阵容调整腾出薪资空间。

由于淄博瑞光2025年新建1台50MW燃煤背压式发电机组、1台8MW生物质发电机组、260t/h燃煤锅炉和75t/h生物质锅炉，已于2026年1月正式投产，预计将增加其2026年的营收，公司在收购淄博瑞光股权时采取收益法评估，估值6.80亿元，增值率108.05%。

7、一夜连发31个公告，中金重磅合并落地，券商江湖彻底变天？

当C罗首发时，葡萄牙的整体球风变得卡顿，中场推进滞涩，因为全队必须迁就他静态等待的踢法。

锋线上姆巴佩状态火热，本届赛事已打入7球，与梅西并列射手榜首位，个人世界杯总进球数达到19粒，距离梅西的20球纪录仅一步之遥。

8、曾是共享经济标杆！ofo陷失信困局1600万用户押金悬而未决

转会市场上，曼联已经签下了蒂勒曼斯等新援，预计还会有后续引援动作。

他速度快，冲击力强，跑动积极，能在前场给对手防线制造很大的压力，而且有一定的背身拿球能力，符合现代中锋的要求。

在阿莫林的3-4-2-1体系中，右路内锋位置需要一名左脚球员，具备内切射门和送出最后一传的能力，福登的技术特点恰好完美适配这一角色。

背后的逻辑是，出口增值税退税截止前的抢产，过度悲观的市场情绪修正，以及真实的供应短缺。