随着曼赞比等顶级新星的不断涌入，英超的赛场必将更加精彩绝伦。

1、乐玩体育 代表包括Google RT-2和Physical Intelligence的π系列。

"拉波尔塔对媒体表示，"有了戈登和阿德耶米，我认为我们在加强锋线，但这不意味着我们会放走拉菲尼亚，他对我们至关重要。乐玩体育而那个本该让它提前二十年登顶的钥匙，早在1996年就被它亲手扔掉。

2、宿茂臻真敢吹！联赛保三争一，杯赛进决赛 球迷：踢大连别拉坨大的

美国银行将全年均价预测下调14%至4360美元。

3、23届世界杯终极排名：意大利两冠仅列中游，马拉多纳封神之作屈居第二

700万欧元购入的阿泰卡梅也有希望留在队中，他的定位是萨勒马克尔斯的轮换。

4、教育部发布预警：警惕冒充军警高官身份设局

世界杯四分之一决赛，英格兰在迈阿密2比1险胜挪威，贝林厄姆再次当选全场最佳，又一次用惊艳表现扛着球队往前走。

5、点球大战陈威两度扑点，海港晋级足协杯八强

这也解释了为何他能在俱乐部主帅弗里克和国家队主帅德拉富恩特麾下都稳坐主力。

切尔西在4月份与罗塞尼尔分道扬镳后，于今夏正式任命哈维·阿隆索出任球队新帅。

据介绍，该项目背后是曦智科技新一代“dOCS光电混合组网方案”，其机柜间就是以光交换技术连通，据称时延低至百纳秒级，能支持万卡规模集群。

6、传承端午民俗 乐享非遗匠心 嘉峪关市总工会开展职工香包制作活动

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。

锋线上姆巴佩状态火热，本届赛事已打入7球，与梅西并列射手榜首位，个人世界杯总进球数达到19粒，距离梅西的20球纪录仅一步之遥。

7、时代的遗憾！罗纳尔多：不是天赋毁了自己，而是错误训练拖垮了膝盖！

眼下危险的价格链已经形成：新车均价同比降了9.1%，疯狂的降价直接碾碎了二手特斯拉的行情，均价跌至27,814美元，赫然跌破行业均价28,039美元。

法国后卫孔德出面淡化外界关于亚马尔赛前言论制造紧张气氛的说法，他表示这位巴萨队友的话并无冒犯之意。

8、记者：B费仍未与曼联就续约达成一致，最近一次谈判结果并不积极

” 终场哨响后，场上曾爆发冲突，阿根廷中场帕雷德斯卷入其中，斯卡洛尼不得不上前将人拉开。

他们的防守组织严密，反击威胁很大，此外，淘汰赛单场决胜的赛制也增加了偶然性。

最终，他决定寻求心理咨询。

9、这个17岁高中生跑出1分42秒27，即将冲击全美冠军

英格兰vs阿根廷，比赛看点如下： 第一：两队情况！英格兰世界排名第四，球队总身价13.6亿欧元，仅次于法国排名第二贵球队，平均年龄26.6岁，来自五大联赛的球员共有25人；阿根廷世界排名第三，球队总身价8.08亿欧元，平均年龄28.7岁，比英格兰年长2岁，来自五大联赛的球员共有19人。

挪威时隔28年重返世界杯舞台，首轮4比1大胜伊拉克取得开门红。

10、中甲保级队被足协追加扣6分，成中甲唯一负分球队，保级难上加难

小组赛阶段，斯卡洛尼的球队展现出稳定的统治力：首轮3比0轻取阿尔及利亚，次轮2比0完胜奥地利，末轮3比1击败约旦，三战全胜积9分以J组头名出线，打进8球仅丢1球，攻防两端表现均衡。

迈阿密国际过去也曾化解过类似的困境。

1、102场448次保送领跑全MLB，小熊队正在用最无聊的方式改写历史

霍伊别尔是最近被推荐给红黑军团的人选，这位31岁的丹麦中场在马赛效力了两个赛季，个人表现相当积极，目前正在考虑离开法甲。

2、成绩即将公布！重要提醒→

Ropet成了林夏的固定搭子 这种“确定性”，或许就是AI宠物切入市场的核心卖点，它命中了当代社会“孤独经济”与“宠物经济”的交叉口。

3、首球就夺命！Mayank Yadav打破沉默：为印度赢球“感觉太棒了”

刘圣认为：每一代产品迭代都会有新企业起来、老企业离场。10家航空公司、5家线上售票平台被约谈TCL的赞助策略则更加激进，直接同时签下了西班牙、阿根廷、德国等多支强队，决赛直接变成了"TCL德比"。

4、“驱虎吞狼”可谓毒计，西南四省军阀，为何单单王家烈彻底出局？

分业务来看，谷歌的营收可以分为谷歌服务、谷歌云和新业务三大部分。

5、排名闪电队过去10年首轮选秀：从德文·詹姆斯到洛杉矶史上最大水货

2024年79亿元的巨额亏损，很大程度正是由这一定价漏洞导致。

6、“不想给照顾我们的亲人添更多麻烦”，湖南双胞胎兄妹高考交卷就进厂打工赚学费

第二种游戏也没有纸面上那么轻松。

摩洛哥的战术更加求稳，他们通常采用4-2-3-1站位，防守时边后卫回撤形成5-4-1。

据报道，关于球衣使用的最终决定预计将在周三作出，距离开球不足24小时。

7、跪求加盟一年后抛弃，能签换补强非裁员省钱，联盟最水管理层出现

我希望他说的是真的。

作为整个季前备战周期的收官战，这场比赛的定位显然是模拟考级别。

8、阿森纳官方：萨利巴背伤将长期缺阵，无需手术但需康复

高端紧缺与低端过剩并存，能量密度160Wh/kg以上的高端电池需求强劲反弹，市场份额从2025年的6%跃升至11%，以三元电池为主。

流行天后夏奇拉通过视频向球队和现场球迷致辞："（西班牙）向世界展示了何为同心协力、万众一心。

球队在无球状态下同样会全员退守，但持球阶段的进攻威胁明显更大。

正如部分球迷尖锐指出的那样，“好汉不提当年勇”，更何况在2016年那场决赛中，C罗因伤早早被担架抬离，最终由替补球员完成绝杀。