阿根廷人顶住了一波又一波攻势，把比赛拖入最令人窒息的阶段。

1、bob登陆入口 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。

6月排产中，储能电芯占比进一步升至约41%。bob登陆入口久保建英、镰田大地、堂安律组成的中前场传切配合娴熟、边路突击能力突出。

2、从以父之名到光荣之路，小舒梅切尔用了20年时间，退役变解说？

四分之一决赛比利时遭受的打击更为致命。

3、一箱油跑1500km！长安蓝鲸超擎双车上市，引领HEV进入7万时代

可以预见的是，这二人加盟后会让米兰的转会策略发生根本性转变。

4、别跟风给娃“来一刀”！暑假“割包皮”全攻略，看完这篇再决定

当前，AC米兰的真空期已经持续了1周时间，以伊布为首的管理层工作效率低下，截至目前对体育总监和主教练的选拔还没有太多进展。

5、韩国队天要塌了！伊朗队1-1小组第三排名反超，亚洲2强或全出局

首先是体能问题，两队都打了120分钟，但39岁的梅西体能恢复肯定更慢，这是一个变数。

宁德时代以约41亿元战略入股中恒电气，卡位数据中心高压直流供配电环节，并在贵州智算中心中标2GW/4GWh储能项目。

不足四万平，轻松玩一天 时隔一年，大型游乐设施的增加是乐园最显性的变化。

6、勒布朗·詹姆斯：想加入有相同理念的球队，最重要的是相信过程

接下来的赛季同样不顺：季前赛小腿受伤，所幸赶在赛季开始前恢复；同年晚些时候，又一次肌肉问题让他缺席多场；2022年1月，轻微肌肉拉伤再次短暂缺阵。

" 麦卡利斯特还谈到了作为卫冕冠军的意义。

7、压哨签！巴西带刀后卫加盟中超新军，曾效力武汉队，直言中超糟糕

阿根廷有梅西，西班牙有亚马尔，决赛之前，这早已让各路媒体的标题党们热闹了一番。

他举例表示，“在实际市场运行中，红熊AI的营销获客产品正是基于市场投流线索量暴增而来的。

8、中国创新药历史时刻：依沃西单抗肺癌数据登上最高舞台

有很大一部分想养宠物又迟迟无法下定决心的人，其实内心存在着想被需要但又怕被消耗的矛盾心理，真实宠物会生病、会死亡、会制造麻烦，这些不确定性对他们来说是压力源。

产能过剩还是产业“成年” 关于装车率，有一组数据需要仔细辨析。

展期将举办 80 余场专业论坛与互动活动。

9、40年借名，全国3.1万家"兰州拉面"其实是青海人开的：如今集体摘牌，一场迟到的品牌归位

AI手机或许是趋势，这一点已经没有人怀疑，但它目前依然处于摸索阶段。

但上赛季中下游那些球队里，同样有不少"下一个狼队"的候选——尤其是经历了上赛季和今夏如此大规模的主帅更迭，不确定性无处不在。

10、这款纯电SUV预售不足10万！外观年轻动感，配激光雷达+续航610Km

作为中国最早的一批户外店，北面和始祖鸟对三夫户外而言，就像是耐克和阿迪之于滔搏。

阿森纳、热刺、利物浦和纽卡斯尔未来都可能对这名葡萄牙人感兴趣，但至今尚未采取行动。

1、“白色阔腿裤”又火了，这样穿时髦又高级

面对点球失手的巨大压力，他没有丝毫怯场，而是用最霸气的方式完成自我救赎。

2、7.5世界杯推荐：巴西vs挪威

这个时候，飞轮效应就开始显现威力了。

3、文化观澜丨让新疆故事在舞台绽放繁花

创作者激励能增加供给，也可能放大灰色内容。米兰无莱奥场均2.44分，有他1.71分，曼联球探两次考察失望而归在此背景下，相关板块的估值达到历史高位，许多资金也选择借此机会兑现收益。

4、体脂率不到10%的亚运冠军查出脂肪肝？医生：瘦人得脂肪肝反而更危险

颇为讽刺的是，本赛季帕夫的进球数甚至超过了米兰阵中两名正印中锋希门尼斯和菲尔克鲁格的总和，并与恩昆库的非点球进球数相同。

5、商业不动产REITs落地半年，22只申报、203亿试水

葡萄牙阵中云集了鲁本·迪亚斯、B费、B席、莱奥等一众豪门球星，41岁的C罗第六次出征世界杯，继续刷新历史纪录。

6、安宁疗护纳入北京医保，日均200元覆盖沟通陪伴、临终关怀等

国产FPGA龙头企业复旦微电预计上半年实现营业收入22亿元—24亿元，同比增长 19.64%—30.52%； 归属于母公司所有者的净利润8亿元—10亿元，同比增长313.19%—416.49%。

这意味着海量的KV缓存、智能体的长期记忆、频繁调用的上下文数据，都可以在一个统一的逻辑空间内高效流转，无须在各个节点之间反复搬运。

Vega则说明市场从紧张恢复平静时，期权会不会即使方向正确，也因为隐含波动率下降而缩水。

7、隆戈丨刚刚扎尼奥洛被推荐给米兰

业绩集体暴增的关键，是周期的威力再显。

做到过这件事的主帅，只有弗格森、瓜迪奥拉和穆里尼奥——后者那已经是很久以前的事了。

8、广东海事局启动防热带气旋一级应急响应

据《福布斯》今年6月的统计，过去12个月C罗以3亿美元总收入登顶全球运动员收入榜，个人身家估值达12亿美元，正式跻身“十亿美元俱乐部”，与梅西、詹姆斯、伍兹并列现役运动员中仅有的四位亿万富豪。

时钟指向第106分钟，皮球终于找到了费兰·托雷斯。

” 当前，尽管AI降低了创作成本，但一部精品AI剧创作成本依旧需要10万甚至上百万的投入，其中绝大部分花在算力上。

德国国脚格雷茨卡仍是头号目标，但即便这位拜仁球员成功加盟，米兰也不排除再引进1名中场新援，主要原因是福法纳和洛夫图斯-奇克都有离队的可能。