面对英格兰等强敌，阿根廷多次在落后局面下完成逆转，展现了无与伦比的“逆风球能力”和冠军底蕴，梅西在右路送出两次助攻，梅西是进球机器更是助攻大师。

1、乐鱼登录 紧接着，淘宝弹出人机验证；农行、建行等银行App以风险环境为由中止登录和支付。

尤其是第二轮对阵刚果，哥伦比亚全场控球率64%，射门20次射正9次，完全压制了对手，只是终结效率偏低，最终只收获一个进球。乐鱼登录周远几乎没有犹豫，先选了第一种。

2、腾亚萱｜和贾俄仁加结婚后，我成了训练营的老板娘

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。

3、国内AI编程市场第一份成绩单出炉！近50%营收流向阿里，Qoder做对了什么？

球迷调侃，这是拉玛西亚青训师叔侄之间的对决，也是西班牙加冕二星、阿根廷加冕四星的星辰之战，当然也是欧美杯的补票，上届欧洲杯冠军PK上届美洲杯冠军。

4、一场144-114的大胜，让骑士很绝望，雷霆也有压力！尼克斯要捡漏

在VAR技术日益普及的今天，如何统一裁判尺度、消除人为操作的灰色地带，比任何公关声明都更为重要。

5、无缘世界杯决赛后，法国离队第一人正式出炉！姆巴佩或成最大赢家

托莫里已被挂牌待售，德温特则有望留队。

龙头企业在大规模投入前理性止损，是产业从“青春期”走向“成年期”的典型信号。

这名巴萨边锋与凯恩搭档锋线，他的进球一度看起来将成为英格兰世界杯历史上的经典瞬间之一。

6、怎么会有人不Like Jennie？

相比家庭机器人，汽车行业是更容易被世界模型率先切入的市场。

他们在小组赛对阵伊拉克时曾单场轰入5球，展现了强大的压制力，但在对阵挪威等强队时也暴露出防线身后空当过大、抗压能力不足的问题。

7、英国童话：住在温网旁边的男孩，将在24岁生日当天打温网决赛？

外界总在谈论网络舆论，但我们始终专注于自身。

今年7月，苹果“Apple智能”完成网信办备案，联合阿里、百度分别承接长文本生成、本土化搜索服务，整套AI能力将首发搭载于iPhone 18 Pro。

8、正式确定！广东宏远新老总公布，外教担任主帅，徐杰面临交易

第二：技术流对决，欧洲杯冠军PK美洲杯冠军！大家喜欢看好看的足球，因此喜欢西班牙和阿根廷。

2023年夏窗，他以7000万欧元的转会费从莱比锡加盟利物浦。

但他们必须提高进攻节奏，同时边后卫在压上助攻时必须保持警惕，因为塞内加尔的反击极其犀利，一旦丢球，马内和萨尔将会毫不犹豫地直插比利时中卫身后的空当。

9、资格赛开打！深圳公开赛96强门票争夺，中国球手今晚能杀出重围吗？

“我们用三个圈筛选机会：一是看头部客户需求，二是看创始团队有没有能力禀赋满足客户需求，三是看市场 momentum（势能）。

古迪逊公园那脚赛季最佳进球，以及2024年足总杯决赛为红魔首开纪录——那场曼联在不被看好的情况下最终捧杯——这两幕，无疑是他在老特拉福德的高光时刻。

10、智见丨中国汽车工程学会名誉理事长付于武：车企不要总讲“卷”，要找准定位用产品说话

数据中心要求的不仅是容量大，还要求高密度，以前两块盘才能实现的容量，现在放到一块盘里就能实现，能耗就会降下来。

然而，资本市场为这个“里程碑”给出的评分是：不及格。

1、一觉醒来，全球民意好感度出炉，中国反超，美媒感慨：优势已不再

阿莫林3-4-2-1的核心逻辑是，三中卫不能只会防守，必须具备从中路直接破解第一道压迫线的传球能力；两名翼卫需要同时拥有顶级往返能力和一对一爆破力，进攻端能顶到边锋位，防守端第一时间回撤补位。

2、2-1逆转！葡萄牙绝杀克罗地亚，格瓦迪奥尔读秒进球被吹引起热议

长上下文推理的KV Cache从64K到1000万token时，容量需求从百GB级跳升至TB级。

3、复杂性创伤后应激心理分析：第五十二讲 成为表演型人格

2025 年，2500 美元以下的入门级 3D 打印机出货量增长 26%；与此同时，2500 至 2 万美元的专业级产品全年下降 15%，2 万至 10 万美元的中端系统全年下降 12%。山东男篮主场打上海！去，还是不去至于利物浦，他们本赛季是另一个巨大的未知数。

4、一座坐落在纽约的东方展馆，藏着十二年耕世界杯的要强之路

01.云业务撑起增长故事，资本开支计划突破2000亿 从核心财务指标看，谷歌Q2主营业务交出了一份超出市场预期的答卷。

5、季后赛

进入7月，新上市公司的股价表现同样整体走低。

6、CBA：中国男篮抵达海口备战四国赛，广州男篮得到状元签交易内容曝光，王少杰回归广东困难变大，上海男篮续约洛夫顿受阻

梅西与萨拉赫两大巨星的直接对话，是本场比赛最大的看点。

克鲁克在社交媒体上写道：“独家：切尔西近期对亚历克斯·斯科特的接触被伯恩茅斯拒绝。

一种模式正在形成。

7、闯视频赛道，小红书动真格了

如果说梅西走的是机构化的VC路线，那么他的老对手C罗，则更像是一位活跃的个人天使投资人。

据行业公开报道，2026年6月初，一只拟设规模10亿元的消费基金在过会前被叫停。

8、"中国女排"最新剧照：彭昱畅演陈忠和白浪神似郎平_网易体育

意甲收官战结束后，米兰老板卡迪纳莱火速炒掉了主教练阿莱格里、体育总监塔雷、CEO富拉尼和技术总监蒙卡达。

对于球迷而言，这或许就是足球最迷人的地方吧！2026年世界杯的战火正酣，关于“谁是世界杯历史最佳三人组”的讨论在绿茵场外同样激烈。

面对荷兰、瑞典两支欧洲强队，日本均顽强逼平，还曾4球大胜突尼斯，足以体现球队出色的抗压能力和攻坚水准。

西班牙的高位逼抢让阿根廷球员长时间疲于奔命。