而贯穿其中的底层逻辑，始终是“兴趣”与“以人为本”。

1、乐鱼电竞 回望趣丸科技十二年的进化轨迹，一条清晰的脉络浮现出来：前半程是“连接兴趣”：用兴趣社区连接每一个渴望归属的年轻人；后半程是“创造兴趣”：用AI降低创作门槛，让每个人都可以把创意变成数字资产，把热爱变成可持续的表达。

从比赛走势来看，英格兰大概率会采取控球进攻的策略，而墨西哥则会稳守反击。乐鱼电竞截至目前，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。

2、邓光荣走了，曾江走了，谢贤走了香港影坛5大传奇只有他俩还活着

直至2026年上半年，公司净利润再度回升至42亿元区间，业绩随锂价剧烈波动的特征尽显。

3、麻烦了，中国男篮多人缺席，徐昕请假，杨瀚森生病被质疑集训太长

7月14日凌晨，阿根廷国家队官方微博发布了一则充满温情的公告。

4、耐克半价还滞销！曾疯狂排队的“洋球鞋”，年轻人为啥不买单了？

梅西被彻底锁死，亚马尔也哑了火，足球世界里最重要的一场比赛，逐渐拧成了一个谁都无法解开的死结。

5、FORLAND 8 与 FORLAND 12 搭载 HANGIL 随车起重机，正式登陆俄罗斯市场

对于滔搏来说，它目前面临的问题或许不是还能签下多少国际品牌，而是有没有能力培育出一个真正属于自己的品牌。

库巴西：19岁的身体，29岁的灵魂 库巴西以足坛最出色的年轻后卫之一前往世界杯，以足坛最出色的后卫之一归来。

厂家可以不算经济账，但安全账终归是要算的。

6、华为抢走了英伟达的剧本

同时摩洛哥的战术风格天生克制传控型球队，面对巴西的进攻节奏能够完美适配、针对性限制，极大程度可以抵挡五星巴西的猛攻，有希望逼平对手。

梅西的职业生涯已近尾声，而亚马尔刚刚把大力神杯举过头顶。

7、预算800万内，上海松江精装新房怎么选？这份“带地暖+中央空调”的置业指南请收好

商汤大装置披露的数据显示，其日均Token服务量已达2.42万亿，预计2026年全年服务规模实现25倍增长。

财报显示，特斯拉Q2 营业利润为 3.98 亿美元，同比下降 57%。

8、演都不演了！大S遗产分配曝光，S妈抱怨 汪小菲可怜 具俊晔成赢家

对国内模型厂商而言，DeepSeek无疑是令人艳羡的。

谷歌因违反欧盟规则被处以总计8.9亿欧元的罚款 7月23日，欧盟委员会表示，谷歌因违反欧盟规则被处以总计8.9亿欧元的罚款。

2026年美加墨世界杯1/4决赛，阿根廷与瑞士的鏖战尚未分出胜负，一段梅西与主裁判激烈交涉的画面却先一步引爆了全球舆论。

9、市场整体回调，半导体设备板块逆势活跃，A500ETF易方达（159361）今日获7800万份净申购

很快，一名前锋不再只是试图进球，而是在试图逃离，逃离又一次成为众矢之的的宿命。

值得一提的是，当被投资者问到 SpaceX 与特斯拉合并的可能性时，马斯克没有确认也没有否认。

10、杜锋郭士强互换？男篮史上首次狂输日本19分，广东队换帅时机已到

眼下，努涅斯仍在随队训练，等待巴萨的锋线引援动作能否为他打开一扇窗。

涉事的177Ah磷酸铁锂电芯，生产批次集中在2022年至2023年。

1、美股AI应用软件股盘初集体上涨 ServiceNow升逾5%

法国队全体成员没有经过混合采访区，包括德尚，包括姆巴佩。

2、疯狂大楼！俄罗斯富豪想改变上海香港天际线？

对于专业乐手，它是灵感催化剂；对于零基础爱好者，它是通往音乐世界的第一把钥匙。

3、惹众怒！宏远早开练，杜指导活动不断，至今未归队，广东群龙无首

2018年2月5日，波动率突然飙升。姆巴佩10球4助！梅西想夺金靴只剩2条路：世界杯决赛戴帽 2球1助选择什么投资工具，本质上也是在决定愿意为等待支付多少成本。

4、公布！中国男篮排名亚洲第二

但话说回来，上赛季的桑德兰赛前也是这么被看的…… 伊普斯维奇似乎完全复制了几年前诺维奇的"电梯模式"：在英冠大杀四方，到了英超完全不想保级，然后降级，然后循环往复。

5、美伊冲突第九夜：伊朗炸毁两艘油轮，布伦特原油冲上90美元

这50天里，虽然大部分机构处于“暂停立项”的暂缓期，但制度的重建正在悄然进行。

6、中国家电网发起“反虚假测评”自律行动京东与近百个品牌率先加入

二是从梦核的流行到电影《后室》的全球大卖和意识流创作在短视频领域的兴起，气氛即内容，内容消费不一定要获取明确的故事，可以仅仅是对氛围的感受。

王伟修自己还掏了2.84亿元认购股份，几乎是押上了全部身家。

而且上赛季那些高价水货，经过一个完整赛季的适应，应该会有明显提升。

7、争议！金球奖官方讨论梅西获奖可能性 配图却用C罗 网友：太恶心

高工产研锂电研究所给出的判断是：“这不是泡沫，而是供需基本面的价值回归。

更要命的是，管理层对下季度信贷收入的指引含糊其辞，这意味着市场仍在按旧脚本估值，而旧脚本已经撕毁。

8、马拉多纳之子反驳阿根廷主帅 称英阿世界杯半决赛非普通比赛

两场对决不仅关乎决赛门票，更承载着厚重的历史与话题。

也正是那个时期，她与塞内西第一次相遇。

球员状态方面，葡萄牙队内忧喜参半。

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。