支付端，湖北在3月出台了全国首个脑机接口医疗服务价格项目；上海把博睿康的植入式产品纳入了“沪惠保”；广东更是提出了到2030年要新增100家脑机接口科技型企业、建成200个脑机接口病房的目标。

1、乐竟体育 最终留在舞台中央的，将是那些既能构建系统、又甘愿承担长期运营责任的少数企业——以及围绕它们生长出的、分工明晰的服务生态。

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。乐竟体育有意思的是，巴迪亚希勒曾经还是米兰管理层追逐过的目标，但现在他们对于球员交换并不感兴趣，只接受现金交易。

2、豪邦锦上天华对口哪所名校？克而瑞深度测评揭秘长春教育新贵

亏损主因为绵阳爱众发电按照国家政策要求，关停所属泗耳河一、二级电站，相关资产计提资产减值4.91亿元。

3、《忍龙2》PC有望了！曝PC能兼容XBOX 360游戏

不过加蒂是否能顺利离队是主导谈判的先决条件。

4、世界杯决赛首发：西班牙11人不变！阿根廷更换3将 德保罗+冈皇先发

他从三月份就带着这个伤在踢了。

5、盘中，直线拉升！6万亿板块，突然异动！啥情况？

特斯拉正在做的，已经不是“多造几款车”，而是试图把汽车、能源、算力、芯片和劳动力装进同一张资产负债表。

同样重要的是——也许更重要——曼联一旦恢复一周双赛的节奏，恐怕不会再有上赛季下半程那种从容和锐利了。

据内部人员透露：“年薪给了200多万美金，还不包括股票和绩效。

6、科普｜守护卧床老人皮肤健康，预防压疮有妙招

属于他的传奇只是按下了暂停键，那些未能跨越的遗憾，或许正是他下一篇章最深刻的伏笔。

队长罗德里手捧大力神杯，从载誉归来的伊比利亚航班舷梯上缓步而下。

7、砸40亿！新浪微博买下上海地标，到底值不值？

萨默维尔本人已点头同意，并获准接受体检。

美光本财年三季报显示，公司营收414.6亿美元，同比激增346%，环比增长74%，净利润大增超100%，攀升至282.4亿美元。

8、中国基建退潮之后，澳新经济提前降温，普通人能赚差价吗？

耐克大中华区副总裁兼总经理 Cathy Sparks 透露，自明年1月起，中国内地的主力运动零售商将全面停止线上耐克鞋服产品销售，转而专注线下门店经营。

2025年，公司征程系列硬件的总出货量为401万套，同比增长38.8%。

库巴西坦言，他还在消化自己在这届赛事中所取得的成就——他已经确立了自己作为西班牙防线领袖之一的地位。

9、在英格兰旷野，遇见另一道“长城”（他乡行思）

超节点正在成为新的“造富机器”。

不过，在罗杰斯随英格兰队结束世界杯征程、从美国返回之前，阿森纳很难得知这是否具备现实可能。

10、温州三家银行合计被罚115万！授信三查失守，农发行追责力度最高

IDG资本合伙人邵辉后来重新翻看早期投资文件时忍不住感叹，拓竹产品发布后头两年的收入与市场份额，与创业时的预测只有很小偏差。

至于新中卫，巴萨眼下并不将其视为优先事项。

1、M费闹剧续集？曼联欲4000万签萨默维尔，英媒曝其渴望加盟踢欧冠

我们非常高兴欢迎他加入迈阿密国际的大家庭。

2、拉爵计划有变需要省钱！曼联恐放弃买第三中场，或关注卡塞米罗廉价替代者

不过，库卢塞夫斯基库杜斯两名攻击手因伤未能入选，将留在英格兰继续康复。

3、字节AI，在焦虑中狂奔

第28分钟，这名阿森纳后卫感到左腿不适，随即倒在草皮上。这5个“夏季产物”，堪称智商税，被淘汰是早晚的事情，别跟风买站在米兰的角度，努涅斯确实是个不错的目标。

4、坐标佛山，花450万，买2楼，你们觉得值吗？

事实上，阿森纳在本届世界杯期间已经被迫提前进入"转会模式"——巴西队早早出局，反而让布鲁诺·吉马良斯在纽卡斯尔的处境浮出水面，他本人正在推动加盟枪手。

5、马斯克“机器人还进不了厂”刚说完，小米机器人“上岗”汽车产线了

因此谷歌的这份财报和随后的电话会期待值拉满。

6、新疆托克逊地震致房倒屋塌？当地辟谣：无人员伤亡、无财产损失

" 萨利巴本人在世界杯期间也曾承认带着一些"小毛病"在踢，但伤情的严重程度直到西班牙一役后才真正暴露——德尚说，当时疼痛已经让他无法继续。

与此同时，米兰与法兰克福技术总监克罗舍的谈判同样进展顺利，双方已经非常接近达成协议。

小组赛阶段，他在对阵埃及和伊朗的比赛中表现平平，随后在对阵新西兰时贡献1球2助攻，一度让人看到状态回归的迹象。

7、广东省中学生锦标赛中职组八强揭晓

斗牛士军团上一次品尝世界杯冠军的滋味，还要追溯到遥远的2010年，16年的岁月足以让一代天才老去，他们急需一座新的奖杯来唤醒沉睡的王朝。

但真正让人忧心的，是场外那些事——它们勾勒出的，是因凡蒂诺治下世界杯的未来。

8、唏嘘！35岁J罗又失业了：加盟4个月踢8场球 5年遭8个球队无情抛弃

面对强大的阿根廷，这三名球员只能寄望于图赫尔在战术上做出变通，或至少在替补席上给予他们证明自己的机会。

这种神经性疼痛是极其折磨人的。

我们也可以看到DeepSeek和Anthropic的气质相近之处。

争议与质疑：为何是欧洲裁判？ 尽管温契奇的履历堪称豪华，但“欧洲裁判执法欧洲球队与南美球队对决”的安排，依然在球迷群体中引发了不小的争议。