罗马诺正式确认，25岁的匈牙利中场核心多米尼克·索博斯洛伊将与利物浦续约至2031年6月30日。

1、leyuapp 像托迪博、尼科·冈萨雷斯、莫里巴、科利亚多、雷斯以及费兰·尤特格拉等人，都在后续转会中为巴萨贡献了资金回报。

过去几年，全国各地设立了成千上万只区县级基金，据统计，全国政府产业基金规模已超6万亿元。leyuapp截至目前，红黑军团在25/26财年已经录得超1亿欧元资本收益，创下01/02赛季的最高卖人收益纪录。

2、佛得角驻华大使回信“湘超”冠军永州球迷：期望以球会友

现年26岁的他正处于职业球员的黄金期，上赛季在葡萄牙体育交出了54场比赛13球18助的亮眼数据，目前德转身价高达4000万欧元。

3、7人被杀，让他不敢去公牛主场，拒绝出战NBA全明星，凶手下个目标就是他？

说的是华为松山湖的实习生，有人日薪折算下来月薪已经过万；评论区接着冒出字节、腾讯的高薪实习岗，一水的"给钱大方"。

4、1966年，刘澜波推荐李鹏接管北京供电局，周总理大惊：他太年轻了

目前，巴萨仍然持有多名外放球员的转会分成权益。

5、湖人内幕人士：为腾阵容名额可能送走布朗尼 父子同台已成历史

其次是阵地攻坚能力有限，面对密集防守时手段相对单一，更多依赖边路传中找高点。

26岁的阿尔瓦雷斯此前在世界杯期间向记者透露，他希望离开马竞，去争取最高荣誉。

连续两次倒在半决赛，让法国全队憋着一口复仇的闷气。

6、广东最新动态！周鹏有望回归值得培养，朱芳雨或将卸任总经理！

”这句略带辛酸的玩笑，精准刻画了这位超级巨星如今的尴尬处境。

阿浩和哥哥拿出积蓄，又找朋友借钱，家里也帮了一些，前后凑出70多万元。

7、运动中出现7种危险信号，立刻停下，是心脏在喊救命！

除了防守端的稳定被打破外，进攻端也是集体哑火。

但球员本人始终没有给出明确承诺，此前的种种迹象表明，他更倾向于在这个转会窗披上皇马战袍。

8、出场时间多少不重要，斯帅想用好杨瀚森，这个度是三原则

公司 2025 年业绩公告显示，全年产品收入下降 5% 至 3.814 亿美元，付费订阅用户增长超过 4% 至 309 万以上，年度活跃用户基本持平；管理层同时承认，对 2025 年公司总销售额缺少增长感到失望。

但德国人曾提出过自己对新东家的要求，那就是确保参加欧冠，现在的形势对米兰极其不利，中场补强可能要另觅他选了。

这一规则在本届赛事中得到完美执行，阿根廷与西班牙、法国与英格兰均如预期般在半决赛或决赛阶段才会碰面，保障了淘汰赛的观赏性与悬念感。

9、广东2米07锋线主动申请交易，球队试训杜锋爱将于德豪

那么这位51岁的奥地利人究竟有什么令人称道的地方呢？ 格拉斯纳来自萨尔茨堡，球员时期效力于本国的里德俱乐部，是一名资质平平的后卫。

美国AI研究者Nathan Lambert在走访中国模型公司和大厂后提到，Kimi是他拜访过的这批中国公司里「氛围最好」的一家。

10、沙漠出片指南：在XTERRA阿拉善，拍下属于你的那一帧

据《每日体育报》报道，巴塞罗那俱乐部已正式向西甲联盟提出申请，希望在2027-28赛季上半程继续将主场设在蒙特惠奇路易斯匹克体育场。

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。

1、北控完成重磅签约！单场37+19超级外援加盟，季后赛格局恐被打乱

维拉希望以1.3亿英镑出售这位英格兰国脚，阿森纳则寻求将价格压至1亿英镑或以下。

2、失去耐克线上经销权预计影响22%总收入，滔搏“雪上加霜”

膝韧带伤势将让他长时间远离赛场，巴萨只能再次等待这位关键球员走完又一段艰难康复之路。

3、广东“杀手”！张镇麟梦回辽宁，怀特塞德成CBA奥尼尔，杜锋无奈

研发、销售和管理等费用合计7000万，营业利润只有1000万。爱马仕镶3025颗钻，她的人生比这更璀璨此役会是进球大战，进球较多，加上齐达内已经确定赛后顶替德尚成为法国新帅，本届世界杯季军战是德尚执教法国队的收官之战，弟子们渴望用一场胜利送别恩师德尚。

4、浙江稠州男女篮2026新年台历正式发售！

如果阿尔特塔下定决心要把阿尔瓦雷斯带回英超，这笔涉及三方博弈、横跨英西两国的重磅交易，很可能在世界杯结束后迅速升温。

5、趣论：凭什么温网官方敢给出雷人概率：紫薇61%击败辛纳夺冠？

14年光阴，130次披挂上阵，54粒进球与29次助攻，一座沉甸甸的非洲杯冠军奖杯——这些冰冷的数字背后，是一个男人将青春、热血与全部忠诚献给祖国的滚烫人生。

6、国足亚洲杯前4场热身确定：地点重庆 将战乌兹朝鲜塔吉克巴勒斯坦

一旦这一步完成，两家俱乐部之间的谈判预计会迅速推进。

当大模型推理从“以算力为中心”走向“以效能为核心”，数据和存储才是下一阶段AI基础设施的核心命题。

两队在2025年10月有过一次交手，当时美国队2-1小胜澳大利亚，心理上占据一定优势。

7、莱利放话：字母哥是联盟前五球员，热火得到他太走运

Mozaic 4+正是在解决这一问题。

据《都灵体育报》透露，阿莫林上任后的重点工作之一，就是主动和莱奥沟通，一方面评估球员留队的真实意愿，另一方面明确他在新体系里的战术定位，给出清晰的职业发展规划。

8、2-5！董路怒斥：巴西人故意使坏 永远不要相信欧洲南美+韩国人

次轮面对突尼斯，日本完全掌控局面，62%控球率、11次射门5次射正，最终4-0大胜，创造了日本队世界杯历史最大比分胜利。

德容最艰难的一段，是2023-24赛季。

这场较量中，梅西领衔的阿根廷队先失一球，随后连扳两球完成逆转，成功挺进7月19日与西班牙队进行的决赛。

世界杯正赛交手，瑞士保持全胜，堪称实打实的血脉压制。