这一幕，像极了2007年iPhone发布前夕的手机江湖，人人都知道变局将至，但没人知道最终谁会胜出。

1、bob登陆入口 ”李攀认为，在7月仓单注销以前，短期“弱预期”仍将主导价格波动中枢。

但我觉得，什么都没变。bob登陆入口但这件事，真的只是"别人家的孩子真牛"吗？ 我看未必。

2、女子叠涂大量护肤品致“黑脸”，医生：夏季别超4种

他与米兰的合同将在6月30日到期，直到现在仍未做出续约或离队的决定。

3、苏州新市长，有个特别之处！

阿森纳的季前训练下周就要开始，按照惯例，萨利巴因参加世界杯将获得三周假期，但如今伤情可能让他缺席更长时间。

4、5.11葡超推荐：本菲卡vs布拉加

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、梅西在世界杯过人第一、对抗第一、被犯规第一、造杀机第一！等等！

综合来看，英格兰纸面实力明显占优，年轻体能充沛，阵容深度优势巨大，正常发挥赢面更大；但克罗地亚大赛属性极强，莫德里奇的中场控制力不容忽视，韧性十足的防守体系完全有能力逼平对手。

切尔西去年夏天就曾接近签下迈尼昂，当时被阿莱格里强硬否决。

如今，他们分别是各自球队的绝对核心，为了同一个目标站在赛场两端。

6、2026斯诺克上海大师赛签表出炉，火箭冲七冠、多场中国德比来袭

但稀缺不等于壁垒。

王伟修自己还掏了2.84亿元认购股份，几乎是押上了全部身家。

7、梅西两度做饼导演逆转，赛后称这场半决赛很特别

如今，马拉多纳已然离世，欧文与贝克汉姆也早已成为看台上的“老前辈”。

他迅速将资源向GLP-1倾斜，全力推进替尔泊肽的研发。

8、儿童急性胰腺炎最具诊断价值的实验室指标是什么？

那么，为什么是Kimi？ 第一，两家公司技术层面的联动。

但够了，别再这么消极了。

AI Agent能模拟完成所有操作，意味着原本属于应用的流量体系将分崩离析。

9、警惕脑中的“橡皮擦”，别把它当成正常衰老

据弗若斯特沙利文预测，中国AI芯片市场规模将由2024年的1425亿元增至2029年的1.3万亿元，2025年至2029年的复合增速高达54%。

与其同期上市的MiniMax，最初明显讲得是一个更接近OpenAI的故事——一边推进多种模型能力的迭代，一边快速将模型能力变成产品矩阵，承担用户获取、商业化的功能。

10、褪黑素不是失眠万能药，只适合两类人，科学调节也能睡得好

英格兰人与俱乐部的合同截止到2027年，已经进入合同年。

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。

1、护肤品号称“宫廷秘方”实为猪油炮制！官方通报

那么，今天所有的量贩零食店，难道都是一门只吃本金、不吐利润的生意吗？ 也不是。

2、热度持续，“四川造”动画电影《八仙！》票房破4亿

在这一背景下，皮尔斯对赖斯的使用提出了审慎意见。

3、女子便血半年以为是痔疮，一查竟是癌！排便出现4种异常及时就医

停赛一轮后虽然对阵热那亚重回首发，但第76分钟又因为身背黄牌被德温特替换下场。勇敢者的晋级：梅西双助攻破功利，阿根廷连续两届世界杯挺进决赛早在2014年阿根廷与斯洛文尼亚的一场友谊赛中，球员就曾展示过相同内容的横幅，最终阿根廷足协被处以罚款。

4、湖南多条高速公路路段将调整限速标准

格拉斯纳善用3-4-2-1阵型，喜欢高位压迫和快速反击并举的打法，非常具有观赏性。

5、法国多点开花且团结，姆巴佩伤势并不严重：我想让替补球员也进球

这种“账面盈利、现金流紧张”的矛盾状态，也解释了市场的疑惑：公司资产负债率仅30%左右，财务结构看似十分稳健，为何在2026年初仍通过H股配售与可转债募资58亿港元？核心原因并非债务压力，而是公司同步推进格林布什三期扩建、江苏张家港氢氧化锂工厂、四川雅江措拉锂矿三大巨型项目，持续的资本开支不断消耗公司存量现金。

6、暴雨升级！黄浦区等地将出现一小时雨量60毫米以上的短时强降水！

梅西独享历史助攻王，麦卡利斯特头球破僵 比赛伊始，阿根廷队便展现出了强烈的进攻欲望，并迅速取得梦幻开局。

接下来两三年内，我们还会继续向50TB以及更高容量演进，内部已经有相关demo，也具备相应能力。

然而，阿莫林的战术体系对翼卫的防守要求极高，尤其是前场高位逼抢的战术纪律，不允许球员在比赛中出现防守专注度下降或回防不到位的情况。

7、健康日历

“网约车之王”的招牌是靠几十万司机的里程跑出来的，但信任的崩塌，往往只需要一颗鼓包的电池。

“老板关心的不是省多少人力成本，而是业务增量与营收增长。

8、儿皇梦！罗德里渴望离队加盟皇马：这是梦想 老佛爷还未点头

托莫里确实倾向于重返英超赛场，埃弗顿、利兹联及富勒姆等俱乐部均在考察之列。

巴萨在当天早些时候官宣了今夏第二笔引援——卡里姆·阿德耶米。

我在巴萨首秀时踢边后卫，而在国青队则司职中场，这也是我在梯队时的老本行。

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"。