相比千人千面的聊天体验，行业更容易判断出一个Coding Agent能不能读懂代码仓库、修复Bug、调用工具、完成测试。

1、168体育 受此影响，地平线机器人近年来持续处于亏损状态。

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。168体育但全球DRAM格局稳定，谁的份额都难大变，更没有国产替代叙事可讲。

2、10件平价神器，让我快乐做家务！懒人党亲测，真的不费力～

纵观全场，法国队确实展现出了令人窒息的压制力。

3、文庙街今起封闭部分车道，单向通行｜游览省民族博物馆请绕行

我们希望与行业内成熟、有实力的企业开展合作，包括联合发布白皮书、分享行业经验和最佳实践，为客户提供参考建议。

4、关注

首轮2-2被日本逼平；次轮5-1横扫瑞典；末轮3-1击败突尼斯，以不败战绩锁定小组第一。

5、川超冠军之夜：红花郎，点燃四川人的“雄起”魂

对手都在提速，米兰却戛然而止。

AI语音则是趣丸科技对这一现实课题的回应。

本届世界杯至今，梅西已经交出了8球4助攻、独造12球的恐怖成绩单。

6、战报

此消息一出，作为耐克在中国内地最大的经销商，滔搏股价应声下跌超20%。

今天的人们习惯将礼来的成功视作理所当然。

7、灰熊97-96胜公牛！4号秀35+5+3+2，探花秀立大功，灰熊新王诞生

这并非一次偶然的伤病，而是长期过度比赛导致的神经性疼痛，这种疼痛无法通过常规治疗手段根治，唯有彻底的休息才能缓解。

04 封测三巨头，集体狂飙 通富微电预计2026年上半年净利润为16亿元至18亿元，同比增长288.26%至336.80%。

8、AI辅助的智能轮椅实现狭窄道路导航，无人机提供视觉协助

2026年世界杯决赛终场哨响，梅西凑到亚马尔耳边说了句话。

今年6月，Momenta通过港交所聆讯，发行价为295.6港元/股，目前股价跌至275.2港元/股，已经破发。

末轮1-2输给瑞士，戴维斯复出但状态一般，输给实力更强、经验更丰富的瑞士也在情理之中。

9、马刺雷霆谁能赢下抢七大战？杨毅、苏群、字母哥发表了看法

它不能只做模型仓库，还要解决可打印性、版权、创作者激励和内容质量。

从首轮表现看，双方各有千秋，一场精彩的攻防大战一触即发。

10、今天才知道：做这7件事不戴手套，后果比你想的更严重

西超杯再会：巴萨的加冕（1胜0负） 2025/26赛季西超杯决赛，巴萨3-2再胜皇马，亚马尔随队捧杯，将对姆巴佩的淘汰赛连胜纪录扩大到6场。

关键就一句：大厂的暑期实习，往往在大二下就要动手。

1、89岁谢贤去世，生前最后露面曝光，谢霆锋沉重发讣告，紧急回香港

未经审计的财务数据显示，2025年太洋科技营收8.51亿元，归母净利润1.48亿元；2026年上半年营收5.19亿元，净利润7013万元，全年盈利有望站稳1.4亿元关口，约为超卓航科当前净利润的二十余倍。

2、扔了这7样“东西”，你家瞬间大10㎡！承认吧，你家一定有它们！

超节点不是锦上添花，而是必由之路。

3、绍兴网友疯传！杨贵兰的录取通知书丢了？

为什么有人大二就知道提前批，有人大三还懵着？很大程度上，是因为背后的家庭资源不同。中国战机首次飞进美国本土！捧场建国250周年，意外砸了美军招牌阿根廷世界杯前7场热身赛全部获胜，打进21球仅失1球，防守端堪称钢铁堡垒。

4、退路已找好！印度直接对美国摊牌：关税必须优于中国，否则免谈

华为、vivo、OPPO、荣耀几乎全线搭载自研AI智能体，发布会上PPT一页比一页宏大。

5、绍兴市内优质民办普高2026年中考录取分数线已出炉，@绍兴家长凭中考成绩速报名！

“我们崩盘了，这始于主教练。

6、33岁演员金泽去世细节曝光：在出租屋内猝死，被发现时已经离世了

尽管在四分之一决赛中遗憾负于英格兰，哈兰德仍将挪威队本届世界杯的征程，称作他人生中最美妙的一段旅程。

上赛季代表乌鸡出场34次，贡献6球6助。

他认为，从市场化的角度来说，一定是两条腿走路。

7、逆境重生显锋芒 中国女排逆转美国挺进四强

加维：存在感不强 把一位21岁的世界冠军称作输家，需要加上一句明显的补充说明。

科特迪瓦常规阵型为4-2-3-1，凯西、桑加雷组成的双后腰中场绞抢能力出色，前场依托佩佩、迪奥曼德两大边路爆点反击推进，冲击力十足。

8、投诉删评超200条！黑森州企业沉默应对，律师质疑透明化

对于品牌而言，抢占观赛场景，不只是出现在比赛发生的瞬间，更意味着陪伴消费者走过观赛之旅。

没人想到，这个决定真的在几年后救了北方华创的命。

"每一步都在点上"，这是同行对黄冠的普遍评价。

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。