王虹出生于1991年,邓煜出生于1989年,本科均毕业于北京大学。
1、半岛买球 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。
执教曼城期间,他率队斩获6座英超冠军、3座足总杯及1座欧冠奖杯,建立了辉煌的蓝色王朝。半岛买球Anthropic的CTO曾经表示,一线的人每天都在跑实验,对模型能做什么有最直观的理解。
2、即将退队?阿根廷官方致敬梅西:我们永远爱你 罗德里:他是GOAT
其一是旗舰模型Gemini 3.5 Pro的发布一再推迟,最新发布的三款轻量模型表现不佳;其二,过高的资本开支已经使谷歌的自由现金流转负;最后,公司正面临持续的核心人才流失,两位核心研究人员先后投奔竞争对手OpenAI和Anthropic。

3、输球输人!阿根廷3大输不起行为:背对冠军领奖 球员打人 拒绝采访
“致命”的DNA合成服务 要理解生物安全的风险,得先明白DNA合成服务在做什么,以及“筛查”这道关卡的实际意义。
4、银河通用具身智能全场景项目签约落户杭州钱塘
哥伦比亚通常采用4-3-3的基础阵型,进攻端重点利用左路迪亚斯的突破和右路阿里亚斯的传中制造威胁。
5、要报仇了!当年背叛队友毁掉婚约!太太炸裂!!
拓竹已经证明,更便宜、更好用的机器可以扩大 3D 打印市场,但这不等于 3D 打印已经变成一种接近家电的家庭需求。
下一步,管理层将把这笔钱再次投入转会市场,以补强前腰、边翼卫、后防线等多个位置。
战术风格上,两队走的是截然不同的路线。
6、洪涝灾害后如何保护健康(名医讲堂)
纽卡斯尔联急需人手填补戈登和托纳利离队后的空缺,他们把世界杯视作绝佳的寻枪机会。
例如本次入选预测名单的印度尼西亚,通过大规模归化荷兰青训球员实现了实力的“脱胎换骨”,已经稳稳地走在了中国队的前面。
7、安徽文科595分考生放弃211,填报外县定向优师,录取后家长不敢说
合同只剩一年,球员铁了心要走,多特最怕的就是人财两空。
球员本人渴望离队,热刺也愿意放行这位俱乐部队长,但预计会索要一笔数额不菲的转会费。
8、人民网评姚晨,官宣不是你想用就用,话语权的僭越,从来不是小事
2017年初,戴文睿(David Ricks)接任礼来CEO,彼时公司市值仅约800亿美元。
商用车与乘用车需求分化显著,受补贴政策驱动,纯电动重卡和货车的电池需求逆势爆发,纯电动货车电池用量同比增长169%。
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。
9、第19轮海港让克劳德没进比赛名单 申花米内罗能否复出还是未知数
更根本的原因在于,豆包的方案打破了全球互联网生态长期建立的入口逻辑。
巴萨最初开出的价码是2000万欧元,被多特一口回绝。
10、道氏技术(300409.SZ)发布上半年业绩,归母净利润2.9亿元,同比增长25.92%
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。
斗牛士军团不仅阵容深度更好,球队状态也更稳定,4场比赛零失球的防守数据极具说服力,而且连续33场国际比赛不败,心理优势明显。
1、广东省第十七届运动会竞技体育组竞赛总日程(2.0版)公布
这倒是对整届赛事最贴切的收尾。
2、宿敌对决第6季!盘点世界杯英阿大战:上帝之手+贝克汉姆红牌
在远期规划方面,米兰老板卡尔迪纳莱对利物浦队长范戴克仍抱有浓厚兴趣。
3、探黔地风情,于山水之间赏不败之花
巴萨并不打算让他立刻满负荷投入,而是谨慎控制出场时间,将再次出现肌肉伤情的风险降到最低。好消息!库尔勒直飞石家庄航线加密!从VCD时代的数码照片刻录软件,到基于实拍素材的剪辑工具Wondershare Filmora,再到现在基于AI生成的创作平台“万兴剧厂”,在吴太兵看来,这并非跳到一个全新的领域,而是沿着影视创作市场的技术演进脉络的自然延伸。
4、黄仁勋现身东京小店吃面条喝威士忌,大佬们的合作都是这么谈的?
高级顾问伊布正在疯狂寻找合适的接替人选。
5、北京国安“天赋日”活动顺利举办
股票跌10%,仓位大致亏10%;股票跌23%,仓位大致亏23%。
6、一觉醒来,朱芳雨做重要决定!宏远临时主帅出炉,杜锋也有新消息
目前,埃斯图皮尼安、托莫里、里奇和穆萨四名球员的离队谈判均已取得不同程度的进展,涉及英超、意甲多支球队,最乐观估计,他们可以为球队回笼约8000万欧元资金。
但硬币的另一面,是特斯拉在利润端的全线承压。
联赛最后两轮,阿莱格里可能会重点扶持恩昆库。
7、大赛频失守!特步怎么了
其次是端侧能力的物理天花板。
原本位于北京798的INNER FLOW画廊改名POP MART GALLERY重新开放,不同于之前的当代艺术画廊定位,POP MART GALLERY成为泡泡玛特自有IP在北京重要的策展中心,底层是对其IP公司属性的再一次明确。
8、多家A股公司主动补税 折射企业税务合规新常态
从2014年的遗憾落泪,到2022年的圆梦狂欢,再到2026年的不屈冲锋,他跨越了岁月的鸿沟,打破了物理的规律,梅西21球12助,独揽世界杯历史射手榜+助攻榜。
周远把单个风险单位记为R。
从纸面实力看,法国队无疑占据明显优势。
他多次公开表达对巴萨的倾慕,不止一次暗示渴望穿上红蓝球衣。
用户黑龙江东北虎林园调整观光车运营时间 为12吨巧克力被盗变成现象级营销 雀巢CEO:没有反复讨论和层层审批就拍板 这是新雀巢的改变赠送中甲冲超球队离奇换帅!是冲超止损自救,还是默契刹车避升级?演员王侃因病逝世 两年前曾与九旬父亲牛犇同台走红毯
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