文本生成 3D、图片转 3D 模型会降低设计门槛，但真实打印还要解决结构强度、支撑设计、尺寸误差、材料匹配、装配关系和版权归属。

1、博富体育 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。

进攻端凯恩回撤策应，萨卡与戈登（拉什福德）双边路轮番爆破，贝林厄姆的后插上得分能力极具威胁。博富体育它没有提供什么新办法，却完成了一次重要的叙事转换：你不是落后于人生进度，只是还在航行。

2、比起总冠军，更大的悬念成了FMVP？

刻蚀、薄膜沉积、清洗、热处理、离子注入、涂胶显影——除了光刻机这块最后的硬骨头，北方华创几乎把芯片制造前道工序的每一道关键设备都做了一遍。

3、确定了！杜润旺加盟南京同曦

江波龙在存储产业链中处于中游位置，从三星等原厂采购晶圆，经自研主控与固件封测后向下游供货。

4、数据不会说谎！学会使用陈林坚决定山东高速男篮前途

2026年美加墨世界杯决赛即将打响，时隔16年重返决赛的西班牙将迎战卫冕冠军阿根廷。

5、从“连得上”到“算得懂”，天基通算融合初创公司押注无人系统，首轮融资数千万元｜36氪首发

林夏是一名互联网运营，也是独居的“沪漂”，今年年初入手了Ropet。

权威数据机构OPTA最新更新的夺冠概率，将当前的争冠格局勾勒得十分清晰：法国以33.71%的概率断档领跑，西班牙以27.25%紧随其后，两队合计占据了超过六成的夺冠预期。

在克勒舍拒绝之后，俱乐部已经将目光转向了31岁的德国经理人德文·厄泽克。

6、丽晶酒店及度假村成为第28届上海国际电影节官方合作酒店品牌

"他是个了不起的球员，一个全球级的球星，"梅西谈到这位西班牙边锋时说，"他才19岁，整个职业生涯都还铺在他面前。

然而，8年未能再次将冠军奖杯刻上名字的他们，连续两届世界杯杀入决赛，法国队一冠一亚，如今杀入2026世界杯四强，是夺冠第一热门球队，高卢雄鸡正承受着“大热必死”的沉重枷锁。

7、中国男篮添劲敌！卡塔尔男篮5年签湖人旧将纳恩 去年归化古德温

米兰这边的情况相对乐观，贡萨洛·拉莫斯预计能够在本场比赛前归队，锋线人手更加充足。

西班牙用一场2次射正打入2球的高效率完胜本届世界杯头号夺冠热门、之前6场比赛豪取六连胜的法国队。

8、CBA狂野一日！2人获顶薪，4人正式签约，徐杰、赵继伟陷交易流言

2026年不是锂电池行业的一个普通年份。

澳矿、非洲小规模锂矿、国内锂云母，几乎所有边际产能都在那个夏天暂停了生产。

不过，如果球员本人站出来公开发声，局面就可能瞬间改变。

9、给淘宝打视频电话，AI陪你边逛边买！淘天连发四项购物黑科技

阿根廷前锋阿尔瓦雷斯，则长期排在球队引援名单的前列。

如今，它是国内最全的半导体设备制造企业，也是全球半导体设备营收Top10中唯一的中国厂商。

10、0-0！2-0！世界前20基本晋级32强！美加墨世界杯才算正式开始

游乐设施和嘉年华也是讲故事的一种方式。

基于HAMR的Mozaic+平台目前已经实现超过4TB单盘面密度，并支撑44TB级硬盘产品。

1、广东“杀手”！张镇麟梦回辽宁，怀特塞德成CBA奥尼尔，杜锋无奈

同组有东道主墨西哥、亚洲劲旅韩国、欧洲铁骑捷克，南非是公认的小组鱼腩。

2、两名外教空降首钢！李楠迎来强援，广东三冠功臣重返，新赛季稳了

05 方向看对仍然亏钱 IBM正式发布财报日期原本是7月22日，真正改变价格的消息却发生在7月14日。

3、为了这只包直接杀到了专柜！

耐克第一次真正意义上的DTC转向，发生在2020年前后。破天荒！美国前锋巴洛贡红牌不用停赛，世界杯还有公平可言？同时球队极为依赖定位球与边路传中的高空威胁，这是面对密集防守时的核心破局方式，但阵地战串联能力不足，进攻手段相对单一。

4、3-1，世联赛四强出其三，中国女排渔翁得利，有机会上演黑八奇迹

” 印奇坦言，他请教过的终端人士给出的建议高度一致：不要碰硬件。

5、特斯拉FSD再获欧洲一国放行 两个月内已进入四个国家市场

他的产业履历，刚好踩中了三波AI技术浪潮：计算机视觉、自动驾驶、世界模型。

6、克洛泽：我罚点成功率不高，但到了关键时刻我从不会逃避责任

抛开情绪层面，玩家的抵制也有着实打实的消费权益考量。

双方伤停情况：法国有萨利巴、桑巴；英格兰有亨德森、詹姆斯。

斯卡洛尼麾下的阿根廷主打4-4-2传控体系，断球后快速推进找梅西完成终结。

7、拳头缩回去是为了打得更疼，美军增派加油机，不是撤退是蓄力

在市场份额上，中际旭创自2021年起已连续五年位居全球光互连市场收入第一。

球队方面希望拉克鲁瓦续约留队，只是球员本人已下定决心离开。

8、打不赢伊朗，斗不过中国，气急败坏的特朗普，直接掀翻中国的布局

下半年维持宽幅震荡，主流预测区间12-18万元/吨 至于锂企下半年业绩能否维持增长，主要系于锂盐的价格。

当然，后瓜迪奥拉、后克洛普时代的英超，卫冕难度或许有所降低。

但足球的魅力，就在于它从不缺少救赎的剧本。

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。