智能体的未来，取决于超节点的普及程度。

1、迈博体育 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。

最终加纳以1胜1平1负积4分的成绩排名小组第三，凭借成绩较好的小组第三身份晋级。迈博体育北京时间7月11日凌晨3时，美加墨世界杯1/4决赛迎来一场焦点战，斗牛士军团西班牙队以2-1力克欧洲红魔比利时队，时隔16年再度挺进世界杯四强。

2、McMenamin谈詹姆斯决定：今天什么也不会发生

莱奥本人倾向于登陆英超，但其世界杯表现未达预期，导致主流联赛豪门的观望情绪浓厚。

3、确定不续约！威少打出稳定表现，依旧没定下家！

滔搏表示，理解并尊重耐克基于品牌长期发展战略所做出的渠道调整决策。

4、首钢放弃顶薪先生！巅峰场均14分，引众豪门争抢，有望回归老东家

尽管马竞在公开场合态度强硬，多次通过社交媒体以讽刺姿态重申"球员非卖品"的立场，但据阿根廷转会专家加斯顿·埃杜尔透露，俱乐部内部其实早已心知肚明——新赛季想留住阿尔瓦雷斯，几乎是不可能完成的任务。

5、全红婵不是软柿子

北京时间7月5日凌晨1点，2026美加墨世界杯首场1/8决赛将在休斯顿体育场打响，加拿大迎战摩洛哥。

AI让创作平权，万兴科技靠算力入局OPC创作者 吴太兵将万兴科技进入AI影视创作应用赛道形容为一次“升级”，而非跨界转型。

面对西班牙密不透风的传控网，法国球员在场上显得急躁而无奈，心态的失衡成为了他们溃败的催化剂。

6、跟队：穆帅几乎住在了巴尔德贝巴斯，且每天都提前抵达训练场

另一方面，过去数十年来，耐克在中国依靠滔搏、宝胜等头部经销商实现市场拓展，而单方面终止线上经销业务，不仅会重创经销商收益预期，还可能经销商会减少耐克资源倾斜，优先主推安踏、阿迪、李宁，或是其他户外品牌。

季军战历来少有保守打法，近五届世界杯季军赛场均进球达到3.6球，本场双方大概率放开攻防，比赛节奏会相对开放，预测法国2-1取胜，次选英格兰相同比分取胜。

7、查出肾结石先别慌，大小位置不同，治疗方式天差地别

但如陶冶自己所说：硬件容易模仿，软件更难，生态最难。

如果说个人荣誉的缺失是遗憾，那么球队在高端局的无力感，则是更深层的痛。

8、沃尔什：我要磨练投篮&提升运球 希望自己关键时刻能留在场上

皇马2025年8月以4500万欧元将这名阿根廷国脚从河床带到伯纳乌，签约至2031年。

此外，"数智低空・新质测绘" 主题交流会、低空经济气象产业集群发展交流会议、第一届低空机载产业创新发展大会、华东低空经济创新与发展交流大会等十余场平行会议同期举行，分别聚焦测绘地理信息、气象保障、机载产业、基础设施建设等议题。

从技术层面分析，托莫里也不符合阿莫林的要求，英格兰人上赛季下滑明显，带球失误率开始增多，希拉的到来将直接挤压托莫里的出场空间，他很可能会被阿莫林弃用。

9、猛龙曾对8250万侧翼多尔特有意 但他已被交易至老鹰

反观山东泰山，全场表现可谓全线被动，多重致命问题被无限放大。

美加墨世界杯第二场半决赛将于本周四打响，英格兰与阿根廷狭路相逢。

10、iPhone SE 4已 "确认"将于3月发布 配备苹果自行设计的5G调制解调器

后期他还利用漏洞，继续登录苹果内部服务器，下载了数十份机密文件，其中一份汇编就超过1000页。

我们强烈的风险厌恶型，竞争厌恶型，希望有很宽护城河和容错度的生意。

1、从四强到五连败：山东男篮丢掉的防守与团队，该捡起来了

因此从材料上、读取信号的精度上，都需要实现核心突破。

2、今日14:00开票｜7月18日 陆虎【像你这样的朋友3.0】巡演-青岛站

而本届世界杯的半决赛，更是史上首次出现四支前世界冠军齐聚四强的盛况。

3、山东泰山客场负浙江，连胜梦碎，宿茂臻韩鹏心里也没底了

球队场均控球率超过65%，传球成功率超过90%，通过不断的传球和跑位拉扯对方防线，寻找空当。亚马逊AGI团队被曝裁员！这是自1992年FIFA推出排名体系以来，世界杯历史上首次出现四强席位被世界前四球队全部包揽的盛况。

4、客场大胜！场上兄弟齐心 场下温情传递

"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。

5、无缘CBA下赛季的四位顶尖外援

急于脱手的背后，是上市公司基本面的持续疲软。

6、切尔西内幕人士：非常可靠消息源一直提吉马良斯；真能再截胡阿森纳？

米兰还有一个风险是管理层的地震。

到了2023年底，双方签了一份《债权债务确认协议》，把朱双单欠公司的钱、公司欠朱双单的分红款和股权转让款“一笔勾销”。

面对强队时收缩防线打反击，面对弱队时则掌控球权层层推进，既能蹲坑死守也能高位逼抢。

7、俄罗斯宣布退出，不再支持半岛无核化，朝鲜发展核武迎来利好消息

老特拉福德的球迷有理由对这位比利时国脚充满期待。

但进入热身赛阶段，橙衣军团状态出现起伏，近5场3胜1平1负，进10球失5球，其中0-1爆冷负于阿尔及利亚终结了14场不败纪录。

8、票务

长鑫是过去十年唯一挤进这张桌子的新玩家。

GLP-1的故事告诉行业一个朴素的道理：科学可以等你，但市场不会。

每一笔凸性投资都要有一个能够从头讲到尾的完整叙事。

然而，也正是这份乐观，导致礼来在2013年遭遇巨大的“瓶颈”。