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。

1、乐鱼体育网址 仅仅效力1年，达米科果断出手，以6500万欧元的价格将其出售。

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。乐鱼体育网址GPT-5级别的大模型训练，跨节点通信开销占了总训练时间的三成以上。

2、温网1/4决赛：负离子伤了，科博利疯了，紫薇笑了，本土黑马神了

克罗地亚缺乏强力的中路爆破点，佩里西奇在左路的传中是核心手段之一，但加纳防线最不怕的就是高空轰炸。

3、再走长征路｜榕江七十年：从黔边小城到“村超”超级引擎

米兰在本赛季联赛中完全没有莱奥参与的比赛有9场，基本上占到了赛程的四分之一。

4、为何缺席总决赛？怀特塞德现身酒店，上海男篮伤病说辞难平质疑

在这场举世瞩目的较量中，除了巴萨两代超巨的直接对话，西班牙媒体《马卡报》敏锐地捕捉到了一个令人惊叹的巧合——数字“19”正以不可思议的方式，将莱昂内尔·梅西与拉明·亚马尔紧紧相连，好比是漂亮足球的传承。

5、从烤披萨到拿快递，满场跑的机器人终于要进你家了｜WAIC 2026全面探展

阿莱格里近来开始频繁使用21岁的瑞士小将，在对阵维罗纳时甚至安排他首发出场。

例如愿意为 AI 投资决策工具付费的专业投资者，或能够获得公司报销的管理者。

而在进攻端，塞尔维亚人更是火力全开，各项赛事出场33次，打进4球并送出1次助攻，场均评分稳定在7.2分以上。

6、未来智能马啸：AI硬件竞争的核心赛点是什么？

这不仅是一笔简单的合同延长，更是利物浦在新时代重建道路上，成功锁定了最关键的基石。

中国信通院数据显示，目前国内智能手机平均换机周期已达40.2个月，接近三年半；另据IDC预测，2026年消费者的换机周期可能会进一步拉长到42个月以上，创下历史新高。

7、广东给高薪C类也留不住！曝杜润旺3年顶薪签同曦，与郭昊文联手

结果显示，在分片设计环节，全部11个模型均能生成绕过筛查的拆分方案。

全球最大资管研判：芯片股抛售过头了 过去几周，闪迪、美光科技等芯片股从华尔街最大的AI赢家沦为跌幅最惨重的股票。

8、高诗岩归队+双外援就位！山东男篮出征广州，节后首战验成色

无论是谁在这场半决赛中胜出，都极有可能将夺冠概率推高至80%以上。

之前，6场比赛8个进球，第7场，彻底哑了火。

这一画面，在美西关系降至冰点的当下，充满了难以言说的政治张力。

9、又打脸杜锋！崔永熙复苏扣篮+关键三分 王少杰也该进国家队？

” 同时，他也提到拉波尔特和伊尼戈·马丁内斯等经验丰富的队友对自己的帮助，“他们经验丰富，而我仍需在这方面继续成长。

“失望是巨大的，这群球员都是竞争者，旅程到此结束令人痛心。

10、英博两将完成百场里程碑！马里奥盯防王钰栋，斯坦丘PK米神，德尔加多别当吉祥物

在西安、无锡、武汉，凡是核心客户扎堆的地方，都设了服务团队。

再到大三下，最后冲刺：还没经历的抓紧找一段能写进简历的，已有经历的冲 return offer 或更好的暑期岗，给秋招铺路。

1、NBA夏联：后场双枪狂轰59+9三分 热火仍惜败魔术 基尔斯32分

若埃德森顺利加盟，算上留队的莫德里奇，阿莫林手中的中场配置将具备较强的战术弹性。

2、山西队更换主教练，潘江指导下课；广厦队续约布朗谈判不顺利

知道得早，就赢了一半。

3、捅刀子！17国代表安卡拉宣言：解散北约，建立中俄土伊四国联盟？

作为国内健康轻食的代表性品牌，Wagas创立于1999年。蜀中无大将，中国女排首战0-3捷克遭遇开门黑，下步怎么办？战术风格碰撞：传控主导VS高压逼抢 墨西哥主教练阿吉雷打造的是典型的拉美传控体系，场均控球率达到56.1%，揭幕战更是高达61%。

4、湖人24号秀砍23分霸气放言：拿冠军才是此行目的

假设一段提示词生成30秒视频，如果是标准答案，视频多样性如何解决？如果是非标准答案，出1万个版本才能确保1个可用，抽卡成本和时间成本如何承受？ “所以解决长视频叙事一致性有两条路径：一条是模型直出时长逐步扩充；另一条是直出15秒，通过工具组装起来。

5、聚焦｜签约中国香港羽毛球队，李宁成为中国香港羽毛球队官方赞助商

到了今年这次世界杯，情况突然变了，各行各业的大佬集体"出差"。

6、内蒙16岁小伙遇害后续！拍门遭捅杀，母亲曝诱因，网友：无法同情

钱少但能学到东西的实习，长远看比钱多但只端茶倒水的更值钱。

荣耀带来了全球首款机器人手机Robot Phone，机身顶部藏着一套钛合金机械云台，能像一只小“手”一样追踪用户、随音乐摆动；努比亚联合字节跳动推出了搭载豆包助手的NaviX Ultra，号称全球首款AI智能体手机；阶跃星辰则发布了全球首款大模型原生智能体手机STEPX Neo，从操作系统底层开始重构。

DeepSeek在DeepSeek-V4的发布稿中引用了荀子的名言：“不诱于誉，不恐于诽，率道而行，端然正己”，用来形容对自身目标的坚守。

7、大满贯冠军领衔，布云朝克特等人出战广州南沙国际网球挑战赛

作为品牌深耕健康茶饮赛道、历经三轮持续迭代打磨的标志性单品，奈雪此次携手全球知名鲜果品牌佳沛，升级天然维C核心价值。

据第三方机构Artificial Analysis的测算，Kimi K3单任务成本约0.94美元，与GPT-5.6 Sol的1.04美元接近，约为Claude Opus 4.8（1.80美元）的一半，价格带基本和海外头部模型属于同一阵营。

8、ESPN：过去一年里 阿德巴约和希罗之间的关系变得紧张

HRL是一家由波音和通用汽车共同拥有的私营公司。

沈亦晨认为，光计算真正走向产业，需要芯片、封装、制造、设备、算力平台以及应用生态的协同推进。

随着2026年美加墨世界杯决赛的临近，西班牙与阿根廷的巅峰对决即将在北京时间7月20日凌晨3时打响。

这种强烈的反差，让许多球迷感到尴尬与不解。