李·康格顿，威尔士人，1973年出生，2025年夏天刚刚从沙特球队吉达国民卸任体育总监。

1、mk体育 但走出展馆，产业的真实图景和这份热闹对不上号。

一旦未来机器人数据和部署形成闭环，将是构成长期壁垒的关键。mk体育次轮对阵卡塔尔，对手连吃两张红牌，加拿大6-0大胜，戴维上演帽子戏法，但胜利的含金量因对手人数劣势而打了折扣，且付出了科内重伤的惨痛代价。

2、抖音紧急提醒

在汽车业务之外，储能毛利率暴跌也需要单独看。

3、留人成功！穆帅力保皇马绝杀神锋！本土天才正式留队

”Cloudsway AI已经开始复制成功模式到其他市场。

4、下一个布伦森？火箭31号新秀桑顿夏联封神，超高性价比完美捡漏！

我看饮料这么便宜，下意识觉得其他零食不会多贵。

5、国内将逐渐停止“心脏支架”的手术？做完人就废了？真相来了！

至于即将到来的新赛季，巴萨预计将在诺坎普球场完成全部主场比赛。

当下女性用户的情感需求、娱乐需求、审美需求依旧旺盛，这片市场始终具备巨大潜力，真正被时代淘汰的，是“固定数量男主+单一抽卡养成+纯情绪付费”的老旧模式。

据悉，米兰已经与波切蒂诺就一份每赛季税后最高可达500万欧元的合同达成了原则性协议。

6、穆里尼奥防反复苏？巴拉圭的大巴还要法国队来破，伪传控该终结了

值得一提的是，这2个月的时间里，争四集团的对手都在秀，只有米兰在挨揍。

在夏训中，阿莫林已经在测试将丘库埃泽推到右翼卫位置，这步棋与曼联时期改造阿马德如出一辙。

7、Origin CEO致歉：客户姓名住址及部分信用卡后四位遭窃

第一代豆包手机的教训让双方调整了策略：GUI Agent仅负责尚未适配的普通应用，支付、社交等主流应用则通过A2A或MCP标准接口开放部分数据。

这位瑞典人因膝伤接受手术，已经远离赛场长达14个月。

8、状元夏联征程结束！迪班萨两战合砍50+14：这更像是一块试验场

蓝军愿意支付略高于6000万英镑，但这一数字远未达到伯恩茅斯的估值，而且伯恩茅斯已向所有追求者明确表示，无论如何都不想出售。

梅西独享历史助攻王，麦卡利斯特头球破僵 比赛伊始，阿根廷队便展现出了强烈的进攻欲望，并迅速取得梦幻开局。

相较于前任主帅阿莱格里的3-5-2体系，阿莫林的3-4-2-1架构中的双前腰配置，更符合恩昆库在莱比锡时期的活动习惯，即在禁区前沿的肋部空间持球、内切并完成最后一传或射门。

9、复刻南非企鹅小镇、解锁深海探秘！哈尔滨极地公园淘学企鹅馆7月16日焕新启幕

巴萨仍是可能的下一站。

巴萨技术部门对罗梅罗那种侵略性强、主动上抢的防守风格极为赏识。

10、意外！曾留洋拜仁的他将在中超夏窗回国踢球，曾在奥乙表现不俗

全场比赛，泰山队仅有卡扎伊什维利（瓦科）在第36分钟利用角球机会折射破门，成为了球队唯一的亮点与“遮羞布”。

米兰近6轮比赛累计打进3球、丢掉9球，只赢过维罗纳，赢球时本就磕绊，一旦落后便很难追回，直接把最后一层容错空间打没了。

1、以为自己偶遇了洱海渔民“大丰收”，凑近一看，完全不是那回事儿

罗德里拿起了话筒。

2、利物浦小将库马斯：这赛季的目标是为球队参加英超比赛

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。

3、春天不能错过的外套，这样选能穿10年

两支球队风格迥异、各有所长，这场对决注定充满看点。防汛关键期 郑州城管再对突发强降雨开展应急处置最近又多了一个更漂亮的词：奥德赛时期。

4、谈妥个人条款！曼联绝杀级引援！新目标实力碾压楚阿梅尼

欧洲则在能源安全焦虑和绿电比例考核的夹击下，工商业储能与户用储能保持旺盛。

5、太火爆！记者体验“故宫免费开放日”门票预约：系统多次提示购票人数太多，请稍候！也有幸运儿抢到票晒订单截图

自1966年本土夺冠后，他们无数次在希望与失望中轮回，那一声跨越甲子年的叹息，成为了无数英格兰球迷心中最深的痛，今年把足球带回家是三狮军团的最高任务。

6、黄浦区社区长者食堂一周菜单（7.20—7.26）

恩多耶扳平比分，恩博洛“无脑假摔”成比赛转折点 落后的瑞士队并未放弃，他们在下半场发起了猛烈的反扑。

英格兰在图赫尔的执教之下，踢得非常现代化，但球队遭遇了右后卫的用人荒，詹姆斯伤愈刚恢复训练，宽萨停赛2场，就看图赫尔如何排兵布阵了。

接下来很可能还有至少两名攻击手加盟。

7、皇马引援暂缓，发声明缓和与拜仁关系；皇马需先解约，再引援中场

葡萄牙队的折戟止步16强，本质上是战术体系与球星功能之间的结构性内耗。

球队整体以控球为主，但反击速度也很快，莱奥的存在让球队在转换进攻中极具威胁。

8、葡萄牙止步16强！C罗世界杯谢幕，8战西班牙不胜，延续5大魔咒

为什么？因为智能体（Agentic AI）的工作方式，彻底改变了算力的消耗逻辑。

2024年之前，天齐锂业锂精矿采购采用季度滞后定价模式。

比赛预测与看点 综合来看，乌拉圭在整体实力、中场控制、个人能力方面都占据明显优势，尤其是巴尔韦德领衔的中场，对沙特形成碾压级优势。

时隔16年重返巅峰，斗牛士剑指双冠 对于西班牙而言，这场胜利不仅洗刷了2006年世界杯不敌法国的旧账，更是球队复兴的里程碑。