将这套成功的管理团队整体移植到米兰，能够最大程度地减少磨合成本，快速提升俱乐部的运营效率。

1、乐鱼体育网址 台面上签一份符合监管要求的规范股权协议，台面下再由项目方与指定的平台公司签一份“抽屉协议”（补函），约定兜底收益。

两家俱乐部都愿意为莱奥开出超过1000万欧元的年薪，这在一定程度上确实打动了葡萄牙人。乐鱼体育网址巴尔泰萨吉虽然技术尚可，传中精准，但缺乏爆发力，在翼卫这个对体能和一对一要求极高的位置上处于天然劣势。

2、台风将至！绍兴网友去了趟超市发现东西都被抢没了，更有网友晒出自己囤积的物资....

该业务占宝胜2025年总收入约15%。

3、被两片叶子给美住了，我的绿植擦手巾实物终于到啦~

模型创业公司建立能力尖峰的方式更为纯粹，就是要不断拉升模型的Coding能力。

4、太夸张！谢泼德失误乌度卡极度沮丧 主教练如此表现太难以理解

阿浩后来和其他赵一鸣加盟商交流，发现还有一条没有写进合同的潜规则：越早进来的人，越容易拿到资源。

5、国足热身新加坡，主力框架浮现，韦世豪张玉宁挑大梁，新人谁上位

19年NBA生涯拿下2.86亿美元薪资的“大鲨鱼”沙奎尔·奥尼尔，去年10月加入另类投资公司Jacmel Partners担任创始合伙人，把目光投向交通、能源、数字基建这些听起来跟篮球毫不沾边的领域。

在苏格兰效力的两个赛季里，他共为球队出场43次，打入7球，登陆苏超的首个赛季便获评马瑟韦尔赛季最佳球员。

阿斯顿维拉的介入是莱奥转会市场近期出现的少数积极信号。

6、家乡互动(03798.HK)7月24日耗资16.3万港元回购12.6万股

” 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。

而在凸性投资中，值得加仓的不是价格下降，而是成功概率上升、价值捕获路径变清晰，或者催化剂开始转化为真实订单和现金流。

7、广东管理层大换血！广州队卖掉国手中锋，将全力买断徐昕？

阿根廷似乎更在意用各种方式打断比赛节奏，尽管帕雷德斯吃到黄牌，但西班牙全队的犯规次数和阿根廷一样多，都是十次。

客户用得越多，越能发现问题，设备商迭代得更快，下一代产品就更好，客户就更敢用，订单就更多，带来的研发投入就更大，技术追平的速度就越快。

8、期待中国基础科学的更多“菲尔兹时刻”

正如赛前亚马尔所放出的豪言：“如果有人害怕，那一定是法国。

但硬币的另一面是：一旦他们换掉兰帕德，就会变成"杀死小鹿斑比"的恶人，所有人都会盼着他们降级。

他发现，很多用户打完游戏后并不退出房间，反而开始唱歌、聊天、分享生活。

9、前国脚打人！董路：年轻时文静现在咋这样？上海俱乐部从小踢假球

当41岁的C罗遇上40岁的莫德里奇，这很可能是两位金球奖得主在世界杯舞台上的最后一次对决。

亚沙里是去年夏天米兰最贵的引援之一，管理层在经历了艰苦的谈判之后，才以3600万欧元外加奖金的价格将其从布鲁日签下。

10、内蒙古警方通报16岁高中生被刺死案：案发地不属于涉黄场所；犯罪嫌疑人张某无固定职业，并非场所保安

在进攻端，泰山队同样显得毫无章法。

如今刚满19岁的亚马尔，肩负着西班牙队的厚望。

1、净利息收入逆势增长9.63%！这家城商行，做对了什么？

近6场热身赛取得全胜战绩，打入11球仅失2球，其中5场零封对手。

2、战报

对比是显而易见的，但相似之处大概到此为止。

3、遗憾？32岁凯恩未登场！放弃冲世界杯金靴 单季73球仍难超梅西神迹

两队都是首次打淘汰赛，心理层面可能都比较谨慎，看好平局，次选加拿大小胜。冯德莱恩突访基辅，签署无人机伙伴关系，称“局势正在扭转“首先是最直接的经济账，上赛季米兰因缺席欧冠已损失约8000万欧元收入，本赛季若无欧冠入场券，将继续通过卖主力平衡项目，莱奥、福法纳、帕夫洛维奇都是潜在目标。

4、我行我唱 我要上春晚丨走街串巷寻歌声：济南梁南歌唱团

米兰出售这两人的直接目的是腾出薪资空间，用于引进技术特点更匹配、功能性更强的中场球员。

5、中交凤启虹桥未来5-10年价值研判：三大引擎驱动资产稳健上行

只是后来的故事大家都知道了。

6、曼联已接洽科内，但认为罗马要价太贵！拉爵恐放弃签8000万级中场

这次参加WAIC 2026，是万兴科技被外界视为走向“双循环”路径后的大规模国内亮相。

此前市场反复说服自己，碳积分收入虽不稳定，但总会以某种形式持续。

科特迪瓦宁可牺牲控球也要保证反击速度，首战对阵厄瓜多尔控球率48%，但射门15次、预期进球1.68均占优。

7、谷歌财报的四个焦点：云利润率、资本开支增长逻辑、TPU会计处理、SpaceX的算力租约

C罗的定位很明确，就是禁区内的终结者，马丁内斯要求他减少无效跑动，把精力都放在禁区内的抢点和终结上，同时利用他的牵制力为队友创造空间。

在这届大赛中，贾斯特为“全白队”打进三球，其中对阵伊朗的进球入围了赛事最佳进球候选。

8、对不起，我没有猜到泰州会夺冠。

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。

部分网友一针见血地指出，发起此类请愿的极大概率是C罗的极端粉丝，他们试图通过贬低对手在世界杯上的成就，来抬高自家偶像的历史地位。

副队长欧斯塔基奥的状态也存疑，这些都给球队的淘汰赛前景蒙上了阴影。

正如英国作家乔治·奥威尔所言，足球在这里成为了“没有硝烟的战争”。