还有一类是视觉模型路线，以智象未来的UiT架构为代表，从底层统一建模文本、图像、视频、空间、动作等信号，也是其中最具产业落地确定性的一条代表性路线。

1、半岛买球 所谓系统效能，不仅包括GPU自身的计算能力，更包括数据如何流动、显存如何利用、多卡之间如何通信，以及整个推理过程能否保持高效率。

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。半岛买球刚满19岁的亚马尔也书写足坛全新历史，成为史上最年轻同时斩获欧洲杯、世界杯双料冠军的球员；同出自巴塞罗那拉玛西亚青训体系的年轻中卫库巴西，斩获本届世界杯最佳新人奖项，两名19岁小将一同站上世界之巅，缔造属于青春的传奇纪录。

2、珠江花城PK周边二手房，天河这个“全能学府大城”到底赢在哪？

这很大程度上取决于那不勒斯中场部分成员的离队情况，特别是安古伊萨和德布劳内，此外还有租将埃尔马斯。

3、西班牙一路淘汰C罗 姆巴佩 梅西 终于拿到世界杯冠军

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。

4、超级外援赛季报销？CBA争冠格局发生改变，最大黑马倒下

原因是该交易发生在2025年6月30日前，已被统计到24/25财年账目，因此尽管荷兰人是在去年夏窗离队，但不会计入25/26财年。

5、留学澳大利亚，如何做好准备？（留学加油站）

引爆点来自上海出台的直接融资“20条”，其中明确提出要推进可控核聚变、具身智能、大模型、量子计算、脑机接口等未来产业企业在科创板上市，并持续扩大第五套上市标准的适用范围。

如果无法尽快解决中场失控与防线脆弱的问题，理清进攻端的战术思路，山东泰山在本赛季的争冠与保三之路上，恐怕还将面临更多的无奈与叹息，甚至会出现“惨案”。

6月底博睿康进入首轮审核问询，7月初又被中证协抽中现场检查。

6、泰山队四外援抵达杭州，防线面临更大挑战，发布会训练安排出炉

罗德里将金色的大力神杯举过头顶，特朗普仅仅往旁边挪了一步，鼓掌，依然牢牢占据着画面。

这些历史开始洗牌期的时候，必然出现三个信号——全民抢人大战、融资收紧和量产交付落空。

7、事发上海市区！黄鼠狼频繁出没，专往私家车里钻，发动机盖板被咬出大洞，还啃断线路、放臭屁

天价AI基建投入，尚未收获规模化的回报，但大幅上升的资本支出已经开始挤压自由现金流。

金钱从来不是他考虑的第一要素。

8、百度押注个体崛起：把大厂能力拆成单兵武器，发给每个想单干的人

"闯进决赛，让我们的国家有机会继续梦想、创造历史，这是我们所有人的梦想。

十六年后，西班牙再度站上了世界杯决赛的门槛。

主教练法埃主打4-3-3阵型，尤以锋线储备充足，扬·迪奥曼德是德甲赛季最佳新人之一，阿马德·迪亚洛在曼联证明了自己，后防线同样板凳深厚，恩迪卡等顶级中卫甚至只能打替补。

9、两场大火烧光家底，他靠榴莲披萨翻身，年入20亿

不过想要签下拉莫斯难度不小，首先是身价问题，巴黎当初签下他花了不少钱，现在就算要卖，也不会太便宜。

日本队则遭遇毁灭性打击：队长远藤航临阵伤退并宣布从国家队退役，中场防守屏障缺失；边路爆点三笘薰因肌腱拉伤落选，一对一突破能力大幅下降。

10、22方货箱+50吨总重，德国曼在智力发布TGS矿用自卸车，实拍带您看实力几何

毫无游戏性的乙游，注定只能游走红线边缘 新角色、新人设的争议，终究只是表层问题。

“在应用场景上，低延迟推理、AI for Science、具身智能、太空算力等领域可能会跑出光计算的第一批杀手级应用。

1、铜仁碧江：管好集体“三资”家底 赋能乡村振兴

我见过拿了高薪实习的同学，三个月瘦了十斤，半夜在朋友圈发"撑不住但又不敢走"。

2、阿根廷比西班牙更信奉团队足球，只不过他们是围绕梅西这尊神来踢

但Cricut也说明，这套飞轮不会因为各个环节搭建完成便自动转动。

3、0-2到2-2！中国男足没有放弃，泰山队新星绝妙助攻，队长进球精彩

不同的是，芙崽采用 “硬件+订阅”模式，399 元购买的是硬件，默认每天可获得免费互动额度，消耗后恢复需要时间，若想持续畅聊则需支付一定的订阅费用。中文Claude最不哄人，日韩泰全被宠上天！Anthropic亲手撕碎AI人设此外，另一家土超球队贝西克塔斯也对福法纳兴趣浓厚，米兰对其估价约2000万欧元。

4、陈小春晒俩儿子同框！6岁HoHo剪掉长发变帅小伙，一句话道尽兄弟情深

非洲劲旅采用4-2-3-1阵型，主打防守反击。

5、新时代·发现中国｜外媒看哈尔滨：夏日里的冰雪奇缘

之后我们开始在Instagram上聊天。

6、这档古早综艺，怎么就成了年轻人的哆啦A梦?

到了大二下，第一次窗口开了——盯日常实习和暑期实习提前批。

在小组赛中，科特迪瓦展现了极其稳健的竞技状态，首轮1-0小胜厄瓜多尔，依靠中场拦截和边路反击拿下开门红；次轮面对德国，收缩防线顽强抵抗仅1球惜败；末轮2-0零封库拉索，顺利锁定出线名额。

在《零售圈》看来，一方面，7-Eleven需要用存放周期相对长，口味相对不易出错，更大众化的新鲜零食来为自己投石问路，相比之下，烘焙类食品相较于辣味食品和肉制食品更容易被消费者接受，包装也更为便利，能够在7-Eleven便利店的重点货架上集中展示，而辣味食品和肉制品则需要占用冷柜，压缩传统SKU中的高销量产品；另一方面，烘焙类产品制作相对简单，传统的白案烘焙店铺即可胜任，在成本方面也可以控制。

7、当初图便宜买的低楼层，现在天天想卖掉，因为你有很大的几率会后悔！

本次世界杯，福登还被图赫尔排除出英格兰23人大名单之外。

大巴穿过挤满人群的街道，冠军们抵达西贝莱斯广场。

8、前国脚打人！董路：年轻时文静现在咋这样？上海俱乐部从小踢假球

综合来看，西班牙略占上风。

除此之外，赵晋荣还有一个当时很多人不理解的动作：供应链国产化。

对此，Vaibhav Taneja 列了三个叠加因素：2.4 亿美元质保计提，对应早期交付储能设备的电芯故障问题；一季度超 2 亿美元关税优惠二季度不再延续；工业储能赛道竞争加剧，产品均价下行。

届时那不勒斯老板德劳伦蒂斯会再度向其抛出橄榄枝。