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。

1、火狐买球 这位法国前锋在八场比赛中攻入十球，包括那场4比6不敌英格兰的比赛中打进的两球，最终以两球优势力压梅西，穿走金靴。

莫德里奇负责洗脏球与致命一传，科瓦契奇负责推进，这套体系让克罗地亚在控球率上绝不会吃亏。火狐买球乐园正在推进的二期设计规划目前已经确定了星星人和SKULLPANDA两个IP，就是乐园与IP团队多轮沟通后选定的。

2、拉莫斯致敬梅西：世界杯冠军属于西班牙，但足球的历史永远属于你！

但如果最终仍是这种处理方式，那很有可能是给自己埋雷。

3、24岁印度速投手阿肖克·夏尔马从陪练到登场哈拉雷首秀

而在近两个月来，市场早已传出耐克拟收回滔搏等经销商线上经销权限的传闻，如今随着两份公告落地，这一渠道变革正式落锤。

4、刘德华宣布2028年当导演，称过去十年写了不少剧本

23/24赛季，米兰经历了深度重组，管理层在转会市场上的策略是“雨露均沾”，人均花费2000万欧元。

5、3天扇20多耳光！被足协终身禁足的他，为何还能当青训教练？

随着夏窗的深入，这笔转会引发的连锁反应，仍将在英超赛场上持续发酵。

他们的防守组织严密，纪律性强，小组赛仅丢1球就是最好的证明。

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。

6、特朗普宣布恢复对伊朗海上封锁，美国将有偿保护霍尔木兹海峡

这位18岁的希腊攻击手本赛季在比甲联赛送出16次助攻，另有3粒进球，展现出远超同龄人的传球视野与创造力。

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。

7、34岁卡塞米罗登陆美职联 签约至2029年与梅西成队友

波波维奇主打5-4-1防守阵型，全队65%的球员效力于欧洲联赛，其中苏塔、瑞安具备英超经验，身体对抗强硬是球队的鲜明标签。

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。

8、美职联前瞻：洛杉矶迎战皇家盐湖城 西部三四名仅差一分

值得注意的是，德布劳内本人对当前处境并未公开表态。

目前市场对7月加息概率的定价约34%至38%，对9月加息的定价高达82%。

联合利华第二次重磅亮相，重点展示了AI赋能包装创新的最新成果“AI for Packaging”。

9、文明网评丨以文明观赛为笔 写好足球城文化新篇

你看，这张表不是用来算分的，是用来倒逼你想清楚：这段实习，我到底要带走什么。

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"。

10、马泰奥·洛瓦托自由身回归帕多瓦，签约三年

许多基金规模只有两三千万，除了投了一两个当地的“关系户”项目，或者干脆空转吃管理费外，毫无效率可言。

十年后，一群从大疆走出的工程师，把相似的工程逻辑用在3D打印机上，拓竹由此出现。

1、泰山刚完败英博！王大雷就直接发声，表示输球责任都该老队员来负

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。

2、24年来首人！47岁马宁首次担任世界杯主裁 周日8点吹响开场哨

第26分钟，专职后腰马德鲁加拼抢受伤离场，泰山队瞬间失去了中场唯一的防守枢纽，本土中场拦截力度断崖式下滑，导致大连队中场核心斯坦丘得以毫无限制地梳理反击节奏。

3、34岁卡塞米罗登陆美职联 签约至2029年与梅西成队友

更令人担忧的是，与此同时另一位目标人物哈东也同样选择了拒绝，这意味着米兰在夏窗开启前很可能面临没有体育总监、没有完整管理团队的尴尬局面。卡尔蒂克答应教布雷维斯一记杀招：条件是别用在皇家挑战者身上大模型训练的高峰期过后，行业焦点正加速转向推理落地和智能体应用。

4、比国足还惨！伊拉克3战狂丢12球：临别前不忘给韩国队再补一刀

弗利克还要求俱乐部在甘伯杯前再安排一场热身赛，这些都将为比西武提供亮相的舞台。

5、英国女子被假寡妇蜘蛛咬伤后得败血症，不要相信牙膏、醋等偏方

阿莫林执掌米兰后，对中后卫位置提出了极高的要求，管理层为此火速签下了希拉。

6、HERE WE GO！罗马诺：曼联将签蒂勒曼斯

今年2月推出的新款Nike Pegasus 42标准版定价为949元。

上赛季，厄泽克转投费内巴切，同样取得了不错的成绩，帮助球队赢得了土耳其超级杯并获得联赛亚军。

同时，力箭一号包揽了我国民商火箭外星发射市场全部订单，履约交付实力经市场实战全面验证。

7、海牛仅剩2外援，5主力缺阵保级6分战 河南拒4连败 马拉尼昂该首发了

弗利克为新赛季储备了充足的中场人选，这让这位青训小将争取稳定出场时间的难度陡增。

这支球队最大的特点就是均衡，从门将科贝尔到后防线的阿坎吉、埃尔维迪，再到中场核心扎卡，最后到锋线的恩博洛，每条线都有五大联赛级别球员压阵，战术执行力极强。

8、骑士追詹姆斯未停手：海佐尼亚重返NBA在望，库明加交易陷僵局

他在边路的突破与终结展现了极高的战术价值，这粒锁定胜局的进球更是其金球奖级别实力的完美体现。

比赛大概率会呈现葡萄牙控球围攻、乌兹别克斯坦全员防守反击的格局，上半场可能僵持，下半场随着乌兹别克体能下降，葡萄牙有望扩大比分优势。

梅里诺理所当然地抢走了所有聚光灯，费兰的贡献又一次被淹没在背景里。

当终场哨声吹响，27岁的姆巴佩首次无缘世界杯决赛，留下了一个略显苦涩的背影。