"拥有这种经验是加分项，但它不代表任何保证。

1、鸭脖app 第一个，这轮利润有多少来自涨价。

他害怕人员流动太快，把公司的核心资料偷走，就给全公司上线了区块链存证技术。鸭脖app谷歌将 TPU 用于自身数据中心和云服务，已经证明专用架构可以在大规模 AI 负载中找到位置。

2、零跑破8万、蔚来超理想，硬仗6月才开始

这笔钱去哪儿了？答案写在马斯克的蓝图里：Cybercab生产线、Optimus人形机器人、AI训练算力，以及那座雄心勃勃的自研芯片工厂。

3、金地玖峯禧首批次盛大交付

AC米兰将于7月13日开始他们26/27赛季的季前训练，球员们将在早上集合进行体能测试，通过后下午正式参加阿莫林的首堂训练课。

4、西班牙隐形真核！30岁金球先生单场赢下11次对抗 重伤220天仍能打

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。

5、港股风向标｜资金面观望恒指交投萎靡 外围风险情绪进一步发酵

但这三项“第二”非但没有削弱他的伟大，反而让这份成绩单显得更加真实与立体。

把一千张卡变成“一台计算机” “超节点”这个概念并不新鲜，但2026年的WAIC上，产业界第一次给出了严格的定义。

"这场比赛非常特别，尤其是在面对英格兰时，带着所有的历史背景。

6、哈登：詹姆斯是最聪明的球员之一，任何人的游说无法动摇他

墨西哥作为东道主之一身处A组，面对南非、韩国、捷克三战全胜零失球排名第一晋级，展现了强大的防守实力和稳定的进攻效率。

此外，云业务还包含了算力芯片TPU硬件销售，也是AI受益的最直接体现。

7、甩锅詹姆斯！东契奇怎么了？

"这位多特蒙德旧将的语气里带着明显的遗憾。

这将是一场胶着的较量，预测2-1分出胜负，两支球队都有获胜的可能。

8、山东高速辟谣不要干扰球队备战

拆解这份投资方名单，你会发现它的“含金量”远不止于金额本身。

但这支阿根廷也有硬伤，那就是最强“队副”迪马利亚退出国家队之后，阿根廷没有好的边锋，就连边后卫位置都不是世界级的。

大电芯方向已定，剩下的只是各家量产速度的比拼。

9、杭州一诊所用一个针头给15人采血，居民担心传染疾病，诊所负责人：已开除涉事员工，并带采血居民体检打疫苗_网易订阅

以前大家会讨论，是否应该把所有数据都放在SSD里，但实际上这种方式并不可能。

斯卡洛尼麾下的阿根廷主打4-4-2传控体系，断球后快速推进找梅西完成终结。

10、2025最后机会！超5000人信任的跑姿课即将开课！_网易订阅

按每月10万元销售额计算，阿浩一个月只有约2万元毛利，平均每天666元。

战术风格上，两队都属于技术流，但侧重点有所不同。

1、通用汽车宣布开发钠离子电池 瞄准电力储能系统市场

关于AI规模化落地究竟卡在哪个环节，以及存储在其中扮演什么角色，业界仍然有很多的讨论和思考。

2、郭艾伦伤退！山东高速男篮客场85-93不敌广州龙狮

开赛后，乐事给球迷带来的惊喜继续加码，携手代言人宋雨琦、王鹤棣发出“一起看FIFA世界杯”邀约。

3、双向合同出手，火箭第15人加盟！后卫+锋线人手众多，补强位置指向内线

ChatGPT引爆了全球AI算力建设浪潮，大模型对GPU集群的需求呈指数级增长，而GPU集群之间海量数据传输离不开高速光模块。上场微笑，下场流泪！时隔981天，内马尔终于回归程越把自己描述为被卷进这场竞赛的人，而不是主动参与者，“不抢人，马上死，抢了人如果烧不出量产数据，也不一定能活。

4、兰德尔透露了在从森林狼队被交易至篮网队后，篮网队对他的期望

防线另一端，托莫里的未来也进入了倒计时。

5、【WCBA联赛】第十八轮｜浙江稠州银行69-88不敌石家庄英励

这是两套完全不同的战术，米兰球员今年夏天要改变的是整个跑位逻辑。

6、广东队上赛季投资额第二，超过上海队，难怪朱芳雨对成绩不满

其次是荷兰2-1小胜，依靠定位球或个人能力险胜。

"梅西说，"他们踢得非常好。

我们真正该琢磨的，不是"我为什么没拿到"，而是"为什么他们大三就拿到了，而我毕业才知道有这回事"。

7、西班牙VS阿根廷，谁能夺冠？瓜迪奥拉给出了自己的答案

四是扶优限劣促进上市公司做优做强。

此外，泰山队中场屏障的缺失让球队陷入绝境。

8、球员之声：抵制大满贯，真的会到那一步吗？

除此之外，他还为莱比锡签下了奥尔莫、恩昆库等后来身价暴涨的球星。

在成功地面争抢榜单上，梅西以惊人的50次暂列第一。

但这并不意味着行业死了，相反，当假股权被扫出门，真正的创投时代才刚刚开始。

根据《米兰体育报》统计，AC米兰今年夏天在拉莫斯身上投入了超过7000万欧元，希拉的转会费约为3000万欧元，两笔交易相加已经突破1亿大关。