目前莫德里奇享受到的税后年薪为350万欧元，税前总成本约648万欧元。

1、米兰体育 卡塞米罗身上具备这家俱乐部所代表的一切：领导力、赢家心态，以及在最高水平赛场上积累的辉煌履历。

作为该财务策略的一部分，体育部门评估了多名能够通过出售产生资本收益的球员，卡萨多因其青训背景成为最具吸引力的选项之一。米兰体育转会切尔西，当时看起来是对主帅和球员双方都合适的出路。

2、iCAR V27迎来首次大版本OTA升级 提供超140项优化

他肯定了我的天赋，也指出了需要提升的方向，这让我始终保持专注。

3、明日12:00！浙江VS天津，常规赛主场收官战火热开售！

别搞错了，人们都在谈论赖斯，不，不是他——哈里·凯恩之后，英格兰的队长就该是贝林厄姆。

4、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

参展主体涵盖央国企、外资企业、上市公司及初创企业。

5、NBA天赋最差一档的马农，到底靠什么赢得湖人队双向合同？

这20元还不是老板赚到手的钱，房租、人工、水电和损耗，都等着从里面往外拿。

这种高度依赖单一客户的模式，在顺风顺水时是增长引擎，一旦出事就是命门。

现年27岁的他与亚特兰大的合同将于2027年6月到期，在球员进入合同年的情况下，米兰有意尝试谈判。

6、恭喜广东队！洛夫顿疑似拒绝降薪续约上海，朱芳雨有望出手截胡？

加维：存在感不强 把一位21岁的世界冠军称作输家，需要加上一句明显的补充说明。

随着加图索黯然离任，意大利足协已任命传奇后卫马尔蒂尼出任新任技术总监，由其全权负责遴选下一任国家队主帅，带领蓝衣军团走出低谷。

7、火箭的元老球员泰特 今夏成为自由球员 为何火箭还没考虑留下他

西班牙是他梦开始的地方，更是职业生涯达到巅峰的地方，如今他将以对手的身份，面对那些熟悉体系下的拉玛西亚师弟们。

最终留在舞台中央的，将是那些既能构建系统、又甘愿承担长期运营责任的少数企业——以及围绕它们生长出的、分工明晰的服务生态。

8、快船猛龙交易叫停！需等小卡阴阳合同案出结果 多伦多仍渴望迎回他

然而转会市场不会等，重建期的米兰又需要引进5名以上的新援，面对那些潜在目标，竞争对手可能会抢占先机。

公司只有产品和市场空间、缺少经营数据的情况下，他会建立0.25R的观察仓。

三次越位，绝望指数直线攀升。

9、亮相大国新药全球会议，广药集团向全球发出优质科研BD管线合作邀约

阿根廷方面的这一举动并非孤例。

塞内加尔总身价约4.8亿欧元，阵中同样拥有库利巴利、马内、杰克逊这样在欧洲足坛证明过自己的顶级球星。

10、高诗岩：数据之外国家队“隐形基石”，郭士强为何从不缺席他？

告别算力军备赛，一个垂直AI商业化新故事 AI大模型领域的标准竞争姿态，从来都是典型的军备竞赛：参数规模、上下文窗口、多模态能力，成为衡量企业价值的显性标尺。

项目不一定要惊天动地，但要能证明"你真的干过活"。

1、郑钦文遭克娃横扫无缘美网正赛资格称状态差，网友：最扎心失利

2024年再夺美洲杯，让梅西带着连胜之势来到这届世界杯。

2、上海男篮冠军不会被取消，徐昕基本去NCAA打球，辽宁男篮顶薪续约付豪

基于此，vivago R1的产品形态已经接近“AI原生内容生产工作流”，而非单纯的视频生成工具。

3、福建省提升防台风应急响应为三级

尤其在财务层面，他们相信俱乐部有能力完成这笔交易，预算完全可以容纳这位阿根廷射手。大连英博海发7比6淘汰河南 昂首晋级足协杯八强沈亦晨认为，光计算真正走向产业，需要芯片、封装、制造、设备、算力平台以及应用生态的协同推进。

4、智元机器人：已启动赴港上市流程

然而，曼联方面并不情愿把球员卖给联赛中的直接竞争对手。

5、徐杰更新赴美vlog！强化持球+三分+中投，期待下赛季杜锋多给球权

单看数据，和他在曼联时期基本持平，但围绕他职业态度的讨论从未消散。

6、确定了！欧文本赛季报销

阿里云：真武芯片超节点已成功适配Qwen3.8 7月23日，从阿里云方面获悉，阿里真武M890超节点已成功适配Qwen3.8，并上线阿里云百炼平台提供模型推理服务，成为国内首个成功运行超2万亿参数大模型的超节点。

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。

再加上日常推理所需的庞大集群规模，资金消耗速度极快。

7、从智能汽车到原生AI终端，中科创达发布 AquaClaw for IoT，打造面向物理世界的统一智能体操作系统

这不仅标志着马竞连续第三届成为向世界杯决赛输送球员最多的俱乐部，更打破了尘封92年的历史纪录，书写了属于“床单军团”的传奇。

支持银行、保险等金融机构依法依规开发支持智能体落地应用的各类金融产品。

8、CBA最新消息！辽宁旧将加盟北京首钢，青岛男篮签约超级外援

这座全球最大单体锂云母矿此前已停产十个多月，碳酸锂年产能约10万吨，占国内总产量的8%至10%。

但对于7-Eleven来说，光是进军新鲜零食还远远不够。

摩根士丹利将其定性为国内大模型行业“定价回归”的标志性正面信号。

" 据ESPN报道，切尔西预计恩佐在休假结束后将照常返回伦敦参加季前训练。