谷歌是光交换领域的龙头，其核心技术是OCS（Optical Circuit Switch），在约十年前就已开始布局进行技术探索，并于2022年通过两篇研究论文公开其已实现大规模部署。

1、亚搏手机 乐园正在推进的二期设计规划目前已经确定了星星人和SKULLPANDA两个IP，就是乐园与IP团队多轮沟通后选定的。

一位网友评论道：“你配得上一枚勋章，女王。亚搏手机拉齐奥对吉拉的要价超过3000万欧元，且大概率不会接受球员加现金的交易形式。

2、女性内分泌失调、气色差，如何调理？坚持喝这几物，帮助改善气色

拥有贝林厄姆这样一位真正的大场面先生，三狮军团的夺冠前景无疑更加光明。

3、一夜两大重磅！加拿大补时绝杀首进16强，莱万签约芝加哥火焰

” 值得一提的是，库巴西已超越姆巴佩，成为世界杯历史上出场时间最多的20岁以下球员。

4、填补国内空白 激光除草机器人下田_网易订阅

在敲定葡萄牙少帅阿莫林之后，红黑军团又在技术管理层层面取得了突破性进展。

5、台“食药署”被爆砸近8亿新台币装修“食安大楼”，检验量至今“挂零”！岛内舆论怒批

在这种情况下，球队两名年轻中锋卡马尔达和科斯蒂奇即将归队，前者将会面临继续租借还是留队的问题，后者则有可能直接进入一线队。

供需格局错配之下，兆易创新作为中国大陆唯一全面布局NOR Flash、SLC NAND、利基DRAM、通用MCU四大核心产品线的公司，正迎来收获期。

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、一年内 20 名球员离队，又要卖掉段刘愚李源一，泰山队明年要保级

佰维存储预计2026年上半年实现营业收入150亿元至160亿元，同比增长283.40%至308.96%；预计2026年半年度实现归属于母公司所有者的净利润70亿元至75亿元，同比增加3200.15%至3421.59%。

按照这个标准，可以明确区分“真超节点”与“伪超节点”。

7、越南Vinfast VF 3电动小型SUV发布，售价约6.8万人民币起

其中尤文图斯的投入最多，斑马军团24/25赛季花费2.014亿欧元，次年1.371亿欧元，总计3.385亿欧元。

而当我们把目光投向那支曾两次在世界杯决赛中创造奇迹的乌拉圭队时，一个独特的现象总会引发球迷的探讨：为何他们仅两次夺得世界杯，胸前却同样闪耀着四颗星？ 这并非规则的漏洞，而是一段被岁月尘封的“上古王者”传奇。

8、意媒丨两位小将在米兰首训表现出色

斯卡洛尼的球队或许在整体跑动上不及年轻的西班牙，但他们拥有在绝境中一击致命的勇气，以及全队为队长梅西拼尽全力以及多跑几步的三军用命。

家庭场景仍以机构合作和试运营为主。

芯展速也是选择的这一路径，并在WAIC 2026上展示了AI90解决方案。

9、每天"睡前躺练"10分钟，骨盆正了，小肚子收回去了，腰背不酸痛了

兆易创新业绩的增长受益于一关键词“利基型”存储。

要更像宠物，还是更像伙伴？ 随着消费者情感需求的日益膨胀，入局的大厂也越来越多。

10、门将下饭送大礼，韩国输球“早有预谋”！小组第二去洛杉矶半主场

此外，即便朗尼克同意出任米兰总监，也要等到他带领奥地利国家队参加完世界杯，如果奥地利从小组赛成功突围，他将等到七月才能投入到米兰的实际工作中。

会后，A股科技股整体企稳。

1、湖人队休赛期因高昂合同及艾顿交易引发热议，讨好新老板和东契奇

然而，这“临门一脚”不仅没能踢开胜利的大门，反而一脚踢崩了资本市场： 发布次日，智谱股价暴跌28.49%，MiniMax暴跌15.62%，大洋彼岸同样寒意逼人。

2、盘口观察：金泉尚武vs大田韩亚市民，机构给到2.5我只看2/2.5

拉什福德上赛季租借效力巴塞罗那，各项赛事出战49场，交出14球11次助攻的成绩单。

3、“假户口簿”换真拘留！为娃择校买假证，糊涂家长被拘10日

有了这一“前车之鉴”，FIFA在处理此次事件时有了更明确的参照。新华鲜报2022年，第一大客户广汽集团采购金额80.5亿元，占中创新航营收的四成。

4、住房城乡建设部：进一步加强建筑市场监管

开店时，他加入过一个同期加盟商交流群。

5、世界杯冠军中场罗德里心向皇马，曼城高薪续约挽留，未来待定！

无论在自然光、室内冷光还是夜晚路灯下，男子的面部特征、发型和体态始终保持高度统一，没有发生常见的“换脸”或形变。

6、随着皇马3-2马竞+巴萨1-0！西甲最新积分榜：威廉斯造2球胜贝蒂斯

过去一年，在AI叙事驱动下，上游存储价格经历了从暴涨到“乱涨”的演变，随着AI大模型训练与推理规模增长，AI数据中心对高带宽内存（HBM）和服务器DRAM采购需求也呈指数级上升。

早在7月6日，尤文方面就已开始着手了解维卡里奥的情况。

据英格兰天空体育新闻报道，米兰已联系了伊劳拉的团队及代表，以试探其接手球队的可能性。

7、特斯拉利薄如纸，马斯克一把梭哈

米兰整个赛季没有一名前锋联赛进球上双——莱奥9球、普利西奇8球、恩昆库5球、菲尔克鲁格1球、希门尼斯0球。

这可能就是许多心理学热词真正的价值：它们没有解决处境，却先阻止处境变成一场彻底的自我否定。

8、这口锅背后 六百年不熄的人间烟火

就当前形势而言，出售这位本土中场已无时间上的强制性。

深入实施“人工智能+”行动，加快人工智能在全民健身场地设施、赛事活动、健身指导、宣传推广等方面的应用。

从纸面实力来看，阿根廷无疑占据明显优势。

阿尔及利亚的进攻主要围绕马赫雷斯展开，右路内切远射、突破造点是球队的第一得分手段。