开幕式上，两只身着世界杯主题球衣的LABUBU人偶在球场中央和观众互动，还登上了世界杯官方MV，着实在全球数十亿观众面前露了脸。

1、熊猫体育 沙特球队又回来了。

【加纳：蹲坑防反不容小觑】 如果说克罗地亚代表的是传控流派，那加纳则完美诠释了现代足球的另一种极端——“蹲坑与超跑”。熊猫体育队长罗德里手捧大力神杯，从载誉归来的伊比利亚航班舷梯上缓步而下。

2、新疆2026年普通高考成绩拟于6月24日上午12时公布

末轮对阵卡利亚里也不保把，撒丁岛球队最近还3-2拿下了亚特兰大。

3、泰国青少年走进贵州

本届世界杯之前，挪威三次参赛的最佳战绩仅为16强，而索尔巴肯的球队用5场比赛改写了历史。

4、福特宣布管道大计，酋长们却毫不知情，联邦加速审批能绕过谁？

进入4月份以来，米兰在联赛的表现不尽人意，6场比赛遭遇了4场失利。

5、中国女排16-5硬核拦网！横扫乌克兰世排+3.08分，落后日本7.17分

一进一出，净赚4500万欧元，同时还享用了一个赛季的金靴火力。

目前尤文是托莫里最可能的下家，新任总监马萨拉正在推动转会，不过前提是布雷默离队。

于是，它要想做一个独立的AI硬件，让自己的AI灵魂，拥有一具身体。

6、传奇V8 660S正式登陆国内，斯堪尼亚中国客户交付中心正式启用

经综合研判，公司于2026年7月22日收到法院裁定，准许其撤回起诉，并解除对爱众资本4.79亿元财产的保全措施。

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。

7、新双骄对决谁赢了？登贝莱：正是在下！

20脚射门打出去了，全部石沉大海。

本届博览会将持续至 7 月 25 日。

8、拆解广药集团百亿科创转型：怎么转、投哪里、够不够？

近几年，中国企业家很少出现如此规模的集体亮相，更遑论是在海外集体出现。

腾讯更激进，2026年暑假直接面向全球13到18岁的中学生开AI实训营，把人才锁定的网撒向了中学生。

1/16决赛中，摩洛哥遭遇荷兰，这场强强对话打得异常激烈。

9、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

“网约车之王”的招牌是靠几十万司机的里程跑出来的，但信任的崩塌，往往只需要一颗鼓包的电池。

乌兹别克斯坦在卡纳瓦罗的调教下主打3-4-2-1防守反击体系，防守时全员回撤切换为5-4-1低位防守。

10、为什么AI看不懂你的需求文档？EARS语法三要素消除歧义

" 姆巴佩表示，这支遭受重创的法国队决心在消化失利教训后重新站起来。

时隔16年，斗牛士军团重返世界杯决赛舞台，静候英格兰与阿根廷之间的胜者。

1、埃弗顿教练承认‘仍需努力’，尽管ACL受伤，新合同已确认

周日在堪萨斯城进行的四分之一决赛中，他们历经加时苦战才淘汰十人应战的瑞士。

2、中卫沙坡头区2026年小麦“一喷三防”项目 验收结果公示

一方面，该网站的数据增长速度异常，有媒体指出其存在机器刷票的可能，真实参与人数大打折扣；另一方面，这种民间请愿活动在足坛并非首次，上赛季末网友自制的“姆巴佩OUT”请愿网站就曾收获超四千万的签名。

3、卡尔再次受伤无缘世界杯，年轻球员想要成才第一重点就是不受重伤

《零售圈》此前在一线市场调研时发现、每一天、唐久、美宜佳等中国本土便利店纷纷加码餐饮，“一日五餐”等理念的门店践行，也折射出便利店面对行业承压求变的积极探索，再加上7-Eleven加码新鲜零食，可以看到，便利店在接下来的竞争中，核心将不再是“便利”和“快”，而是“鲜”和“体验”。把数据用好，把脚步走实（一线行走）随着贡萨洛·拉莫斯与马里奥·吉拉相继落地，AC米兰在锋线与后卫线上的投入已突破一亿欧元门槛。

4、赛后第一时间发文！前皇马名宿暗讽阿根廷队：属于足球的胜利

传统大模型推理是“一次请求、一次回答”。

5、16幅风景油画，色彩丰富、氛围宁静！

一边是高速防反的利矛，一边是传控压迫的坚盾，这场巅峰对决注定火花四溅。

6、同曦官宣两笔签约：前广东3冠国手杜润旺3年顶薪 李玮颢3年C类

下一次反弹，是“真反转”还是“假反弹”？答案或许不在K线图里，而在霍尔木兹海峡的油轮航线上，在7月29日的美联储议息声明里，和AI资本开支的下一个季报数字中。

他一直有疼痛感，不幸的是，这次疼痛到了无法承受的地步。

过去几年，AI行业信奉一个朴素的逻辑：算力不够，就堆更多的GPU、更贵的GPU。

7、中小企业个人信息保护“减负”新规：初次违法及时改正可免罚

他的风格比较全面，既能组织进攻，也能插上得分，属于那种能提升球队中场创造力的球员。

首轮0-2输给墨西哥，虽是揭幕战加高原主场，但两张红牌才是输球主因，正常11人对11人的时候，墨西哥也没占到太多便宜。

8、AI烧钱开始涨价！Meta再融资120亿美元，借钱成本明显上升

依托该平台，本届大赛将深度链接区域创新资源，升级本土创新平台服务能力，深化与本土初创及新兴科技企业的协同创新，为参赛项目提供更完善的孵化生态与落地保障。

从目前的情况来看，双方互相都有兴趣，米兰需要一名有实力的中锋，努涅斯需要一个能踢上球的欧洲平台。

项目计划自2026年7月启动，至2033年建成投产，资金来源为自有资金及自筹资金。

你实习拿多少？或者，你身边有月薪过万的实习生吗？评论区聊聊，说说你看到的真实情况。