不过葡萄牙体育对这名续约至2030年的核心中卫定价强硬，要价在4000万至4500万欧元之间。

1、博亚平台 第四种是账户失衡。

在此前6个完整赛季里，莱奥单赛季进球助攻总和从未低于25次，本赛季产出几乎腰斩。博亚平台2021年，司美格鲁肽减肥版Wegovy获得FDA批准。

2、两部门就离岸信托个人所得税有关事项答记者问

弗利克全程为这笔交易背书，他相信阿德耶米在边路能被他调教出最好的状态。

3、被央媒怒批，目不识丁，德不配位，这 4 位 “绝望的文盲” 凭啥走红

不过阿莱格里通盘考虑，很有可能将托莫里、福法纳和莱奥拿下首发席位。

4、曝国手内线被摆上货架！本赛季场均17+8，恐遭北京、上海等队哄抢

综合来看，比利时无疑占据明显的优势。

5、广东男篮最新消息！球队欲得到林葳签约权，萨姆纳降薪续约，王少杰或无缘回归

翻开历届世界杯的辉煌画卷，自1930年首届赛事至今，绿茵王座历经更迭，但那些闪耀的星辰始终指引着后来者的方向。

当然，热闹背后也有隐忧。

这里还藏着一个讽刺的闭环：耐克第一次推进DTC时，把大量库存压给经销商，他们为清货被迫降价甩卖，把价格体系打得粉碎，陷入低价内卷；而这一次，耐克以“控价”为名收回线上，理由恰恰是这场低价失序。

6、这就是信仰的胜利

奥地利方面，全队身价约3亿欧元，世界排名第24位，整体实力与阿根廷存在差距，但球队战术素养很高。

从市场当前的动作来看，卫星互联网、商业遥感、导航增强、空间算力等应用快速发展，全球中低轨卫星进入规模化部署阶段，通信与遥感卫星将持续成为商业发射市场的主力需求。

7、加强汛期水质监测 保障居民饮水安全

进攻端5个进球的产量不算高，但效率还可以，尤其是反击质量很高。

利物浦正准备向布拉德利·巴尔科拉提出报价，以期在今夏填补萨拉赫离队后留下的空缺。

8、不用熬夜！这届世界杯适合上班摸鱼看

7月23日，也门胡塞武装袭击红海两艘沙特油轮，中东冲突开辟了新战线。

19岁，世界杯金牌加FIFA最佳年轻球员，分量不言自明。

资本纷纷入局。

9、全球零食消费迈入“新饮食时代”：代餐化、社交化与情绪价值重塑万亿市场

比赛的过程充满了戏剧性的起伏，但最终都被法国队的绝对实力所抹平。

据孟祥福透露，在火箭量产方面，广州南沙生产基地已落地脉动式批量生产模式，实现火箭总装的标准化、流水线式作业，从而保障高频量产状态下的产品可靠性与稳定性。

10、靠给约穆补防成不可或缺，戈登在掘金的作用，可不止这一点

小组赛阶段，挪威先是4比1大胜伊拉克，随后3比2力克塞内加尔，两战轰入7球提前锁定出线席位，末轮轮换十名主力1比4不敌法国。

决赛失利后，阿根廷队退居次席。

1、重磅！曝朱芳雨可能卸任广东男篮总经理 任期内曾助队完成3连冠

集邦咨询预测届时全球一半DRAM产能将被HBM和长约锁定，供给缺口可能收窄。

2、取次硅谷懒回顾，半缘DeepSeek半缘Kimi

摩洛哥凭借无解的不败防守体系、成熟的战术打法，完美克制巴西，具备从对手身上拿分的能力。

3、止步16强后，巴西队再遭质疑！球员全体“消失”，球迷：难怪输球

目前来自皇马的马斯坦托诺成为潜在人选。CBA球员流向NBL要付培养费了！这笔费用必须交，下季注定大改革第三场比赛安排在8月8日的印尼雅加达，对手是英超切尔西。

4、连续4场绝杀！阿根廷创历史，半决赛6战全胜，世界杯决赛对阵出炉

据意媒爆料，卡马尔达可能会被加入进交易。

5、这次选队不为冲冠！詹姆斯胡子花白现身纽约：观看Jay-Z演唱会

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。

6、曝状元签直接卖了？四川和广州交易谈妥，状元大热之人这下亏大了

国家标准GB/T 43568-2026《电动汽车用固态电池》已于2026年7月1日实施（该标准为推荐性国家标准，侧重引导和规范，而非强制性准入），为这场长跑划定了规则边界。

荣誉与默契的边界 这是一场完美的“双赢”。

荣耀：给手机装上“脑”和“手” 荣耀的选择最为独特。

7、哈兰德告别世界杯！本届首次哑火+全场仅2射，犯规致队友进球取消

他变阵五后卫，这让对手得以从容掌控比赛节奏。

1/16决赛中，摩洛哥遭遇荷兰，这场强强对话打得异常激烈。

8、十年磨一剑，奥胖包揽大满贯女单、女双、混双冠军

” 行业对芯片的评判标准已发生转变，业界不再单纯追逐芯片峰值算力，单位Token成本、综合性价比成为关键。

10月Q3财报，只需盯住三个数字：监管信贷收入是否继续萎缩，研发费用率能否回落，残值担保敞口是否还在膨胀。

乌兹别克斯坦首轮对阵哥伦比亚控球率39%，8次射门2次射正，预期进球1.16。

泰拉恰诺的未来则直接与保级大战捆绑在了一起。