2024年夏窗，达米科力主以大约2000万欧元的价格将其签下，雷特吉不负众望，当赛季就拿下了意甲金靴。

最佳球员｜第13轮

20607 ★

摘要：马丁内斯执教的葡萄牙拥有本届赛事最豪华的中场配置——B费、B席、维蒂尼亚、若昂·内维斯，每一位都是欧洲豪门的绝对主力。

米兰的心理价位在2000万至2500万欧元之间。

1、火狐官网随着开源生态成熟、算力获取便利，门槛确实在降低。

5个月后，耐克官方旗舰店实际成交价格为770元。火狐官网巴萨此前已向马竞递交了一份总价1亿欧元的初始报价。

2、泰钽700预售，29.98万起，北京越野X华为的“京华组合”

亚沙里目前的估值约为3000万欧元，红黑军团需要再添2000万欧元现金才能得到埃德森。

3、执法7场！中国裁判傅明完成世界杯执法，收入却不如马宁1场多

核心看点一：两代天才的宿命交锋，姆巴佩直面“法国克星” 本场比赛最大的焦点，无疑是法国队长姆巴佩与西班牙超新星亚马尔的第11次正面对决。

4、夏天最流行的4条长裙，谁穿谁美

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。

5、湘潭市岳塘区：农村儿童乐享暑期成长营

英格兰踢挪威不能长传冲吊，要走地面以及速度反击战。

德尚此前透露，萨利巴从三月份开始就一直在忍痛踢球。

知名空头、Chanos & Co.创始人Jim Chanos在播客里吐槽，没人能算得清数据中心的账。

6、13年后再进伯纳乌！穆里尼奥这次能不能压住姆巴佩？

贾斯特的成年队生涯起步于新西兰的西郊和东郊俱乐部，2019年转战丹麦联赛，随后加盟马瑟韦尔。

这叫周期底。

7、中国队为何老不进世界杯？老外神评论：他们根本不屑于踢足球！

这场比赛大概率不会出现大比分，比利时将主导进攻，而塞内加尔会耐心寻找反击机会。

先看抢人前移。

8、NBA总决赛得分榜更新！有人死扛有人靠团队到底谁的冠军最水？

2002年的3R组合，是足球史上唯一由三位金球奖得主构成的锋线，他们代表着桑巴足球的浪漫与个人天赋的天花板。

当"实习月薪过万"撞上"实习补贴八百"，那种错位感才这么强。

一家拥有百余年历史的大公司，一天之内蒸发掉近四分之一市值。

9、优雅到老，穿搭不敷衍！

目前红黑军团只是凭借相互比赛积分占优排在罗马之上。

而智能体是在更长上下文中持续执行规划、检索、调用工具、写入记忆和结果验证。

10、女性不想老得快，这些食物要多吃，堪称“天然雌激素”，建议了解

除此之外，他还为莱比锡签下了奥尔莫、恩昆库等后来身价暴涨的球星。

他大二暑假还在送外卖攒学费，压根不知道有"暑期实习转正"这条路。

1、研究发现：喝一次啤酒，就等于给血糖添一次堵，真的假的？

”李攀表示，中长期而言，征税将抬升锂电全生命周期成本，测算显示2%与4%税率分别等价于碳酸锂成本抬升约1-1.2万元/吨与2-2.4万元/吨，这将加剧二三线电池厂生存压力，加速落后产能出清，并倒逼需求向免税的钠电、固态电池迁移，远期锂电需求空间受到挤压。

2、贾浅浅这潭水，真的好深！

彼时，两支球队都在中国"金元足球"的鼎盛期，去世界杯现场考察球员顺理成章。

3、切尔西截胡国米，5000万欧报价意甲后卫，只有球员本人才能翻盘

本周一，巴塞罗那2026年季前备战在甘伯体育城正式拉开帷幕。美国近期军事打击已致伊朗55人死亡，含6名女性和3名18岁以下的儿童及青少年；美军连续第13晚空袭伊朗，德黑兰启动防空系统广汽埃安同样承担不起，这个数字相当于其全年利润的大头。

4、揭秘：1个适合心理学人的理想职业赛道

尽管马洛卡最终降入西乙，他依然入选了葡萄牙国家队参加了世界杯。

5、4.28英冠推荐：南安普顿vs伊普斯维奇

当C罗首发时，葡萄牙的整体球风变得卡顿，中场推进滞涩，因为全队必须迁就他静态等待的踢法。

6、国乒选手发球前，为啥都要先吹一口气？

这种主动放弃控球、收缩防线后利用前场速度冲击的打法，在淘汰赛阶段被证明极为高效，尤其是面对擅长控球的对手时，法国队的反击空间往往更加充裕。

定位球得分占比高达35%，也是这支球队的重要武器。

英格兰方面，萨卡和戈登两大边锋状态很不错，加上状态火爆的凯恩和贝林厄姆，英格兰阵容实力和厚度还是要强于挪威的。

7、白内障不是老年人专属，别等看不见了才行动！

所以真正的运营，不是简单分配算力，而是持续处理资源编排、任务优先级、故障隔离、动态迁移和系统恢复，还要防止某一类任务长期霸占资源、拖慢所有人。

与之相反，那些在IP运营维度已经得到验证的业务方向被快速推进。

8、曼城4年4进足总杯决赛：瓜迪奥拉，真的已经超越弗格森了吗

第112分钟，阿根廷队打破僵局，阿尔瓦雷斯在禁区外接球后稍作调整，轰出一记无解的“圆月弯刀”世界波，皮球直挂球门死角，小蜘蛛斩获本届世界杯首球，助阿根廷2-1再次领先，这记天外飞仙般的进球彻底击溃了瑞士队的防线。

根据报道，萨拉赫与贝西克塔斯将签署一份“1+1”的短期合同，即一年合约附带一年续约选项。

“奥德赛时期”就是一个典型例子。

唯一一次世界杯碰面是在1994年美国世界杯，当时哥伦比亚2-0击败瑞士，但有趣的是那场比赛赢球的哥伦比亚最终小组垫底出局，输球的瑞士反而晋级淘汰赛。

西班牙法国38次交手斗牛士18胜，亚马尔姆巴佩近10次交锋谁赢得多菲尔兹奖得主邓煜只差一局就成职业棋手，被围棋国手柁嘉熹“阻击”？柁嘉熹本人澄清：这是误会，不记得当年是否和他交手 2026年世界体育大会将延期举办，后续确定最新日程 “中国智慧”加速出海（大数据观察·中国服务）

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中国证监会原党委委员、副主席方星海接受审查调查

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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。

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