据刘圣在一次公开分享中透露，光模块的迭代周期已经压缩到2年左右，行业正从400G、800G迅速迈向1.6T大规模商用，并朝着3.2T演进。

1、乐鱼APP 据《独立报》报道，阿森纳主帅阿尔特塔对阿尔瓦雷斯欣赏已久，如今枪手正在加紧行动，希望补强锋线。

没有格子和波霸的高卢雄鸡沦为玩具，只有鸡爪，没有翅膀，只能踢低端局，无法展翅高飞。乐鱼APP拉莫斯自巴黎圣日耳曼转会加盟，填补9号位空缺；希拉从拉齐奥压哨敲定，三中卫体系的左中卫人选随之落位。

2、广西一公园大树倒伏，致3人死亡，官方回应

但事实上，除去这些经济成本外，时间与精力的投入才是宠物主最大的开销。

3、年度最大判罚闹剧！两人演戏各演各的，足协强行洗白堪称自打脸

但就在所有人以为奇迹即将上演时，英格兰人用一次点球和贝林厄姆的压哨破门，再次将比分拉开。

4、福州哪所民办高中有国际班？环境好且可申海外大学

以前我们觉得"毕业再想找工作"，现在大二大三就在分岔了。

5、赛前

西班牙队的夺冠巡游从蒙克洛亚出发，驶向传统的庆祝圣地西贝莱斯广场。

当法国队还在依赖球星的个人能力试图“降维打击”时，亚马尔和西班牙队已经用精密的战术齿轮，将这种个人英雄主义碾得粉碎。

常规时间最后一击，亚马尔主罚任意球射得太正，马丁内斯飞身向左将球扑出底线。

6、消费贷半年缩水超万亿！中小银行“增自营、降联合贷”，助贷机构业绩承压

如今，这桩潜在交易有了实质性进展。

在手续彻底办完之前，巴萨已经做好了特尔施特根至少再随队待上一周的准备。

7、山东女子学院与韩国建国大学首尔校区韩国留学本科定向培养班招生简章

在技术层面，他是当今足坛顶级的定位球大师，上赛季在英超直接打入4粒任意球，创下队史单赛季纪录，真是利物浦的“百步穿杨”。

防线另一端，托莫里的未来也进入了倒计时。

8、3年5100万！加盟东部第一！快船分崩离析

马竞上月甚至拒绝了皇马开出的一笔1.5亿欧元报价，但据了解，如果涉及将球员卖到西班牙以外的联赛，俱乐部方面的阻力会小得多。

哈兰德则在今夏世界杯斩获7球，同样得到认可。

在官宣签下科特迪瓦边锋巴祖马纳·图雷之后，这家英格兰球会把目光投向了瑞士新星约翰·曼赞比 效力弗赖堡的这位中场，凭借小组赛阶段三球两助攻的出色发挥，敲响了通往英超的大门。

9、没房子和有房贷，你说哪个更痛苦？_网易订阅

而2025年11月完成的增资中，博睿康的投后估值就达到了40亿元，刚好踩线第五套标准的市值门槛。

通过这一套举措，滔搏也确实从“代理商”逐渐变成了“品牌运营商”，不过还原到本质，只是把“给一个大品牌打工”，升级成了“给一群小品牌、更用心地打工”。

10、争议！金球奖官方讨论梅西获奖可能性 配图却用C罗 网友：太恶心

从小组赛首轮表现来看，两队都打出了各自的战术特点。

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。

1、美股AI应用软件股盘初集体上涨_网易订阅

毫无游戏性的乙游，注定只能游走红线边缘 新角色、新人设的争议，终究只是表层问题。

2、《天国：拯救3》没了？新商标疑似曝光新作标题

但心理健康不是这样运作的。

3、汪小菲懒理大S出殡照流出，带马筱梅逛夜市，打包美食回月子中心

值得一提的是，贝西克塔斯在2026-27赛季将首次身披耐克战袍，结束了与阿迪达斯长达17年的合作。巾帼匠心传友谊丨中俄嘉宾品读龙江非遗之美微软2026年Capex预计约1900亿美元。

4、“民办军校？你要造反吗？”女生毕业照被群嘲：无知就别耍小聪明

典型的“森保一模式”是上半场隐忍，下半场60分钟后突然提速，利用体能和轮换优势冲击对手。

5、TVB视帝夏雨曝：谢贤一年前已不太认得人

Kimi K3的走红，让市场再次校准了对月之暗面的预期。

6、床垫上的“薄膜”一直没撕？多亏师傅说出实情，难怪睡觉不舒服

更重要的是，如果所有厂商最终都走向“系统底层重构+智能体助手”的同一条路，AI手机会不会重蹈智能手机的覆辙，从参数内卷走向功能同质化？ 结语 写到这里，笔者不禁想问，AI手机真的来了吗？ 答案是：来了，但还没到。

中国企业家去现场看体育赛事，这事本来并不新鲜。

尼科·威廉姆斯的经纪人费利克斯·泰恩塔近日在接受西班牙《Radioestadio Noche》采访时透露，球员不排除今夏离开毕尔巴鄂竞技的可能性。

7、不止是整车出口，还有直接被贴牌？中国卡车正在以“第二种方式”遍布全球

但问题在于，控球无法转化为进球。

阿莫林大概率会在两场比赛中使用完全不同的首发阵容，通过大面积轮换来分摊体能压力，避免核心球员过度疲劳。

8、漫游海南，解锁海的一百种打开方式

除了阵容的残缺，战术层面的僵化与心理层面的脆弱也是法国队屡战屡败的催化剂。

2026财年，耐克已完成超过150家NIKE Direct直营门店的运动体验升级。

勒沃库森已于今年3月激活回购条款，合约签至2030年。

葡萄牙教头更倾向于在3-5-2体系下为其设定固定的中前卫或边翼卫角色。