用户不再需要跳转、不再浏览页面、不再观看广告，意味着建立在日活与停留时长之上的万亿级流量生态即将分崩离析。

1、bob登陆入口 许玮透露，即便是英伟达最新一代GPU，在实际推理场景中的有效算力利用率也普遍只有30%至70%，大量昂贵的计算资源并没有持续处于计算状态，而是在等待数据。

结合多家机构综合数据来看，今年以来存储行情延续2025年下半年涨势，其中第一季度通用型DRAM合约价格环比涨幅达55%至60%，NAND闪存产品价格上升超过30%，消费级大容量QLC产品涨幅不低于40%。bob登陆入口告别曼联登陆美职联，卡塞米罗如何融入球队？ 如今大部分障碍已被清除，即便联盟仍在调查这笔转会。

2、为什么越来越多人选择“少”？极简主义流行的真实原因，看透后你就懂了

与此同时，安苏·法蒂永久转会摩纳哥，莱万多夫斯基则加盟了芝加哥火焰。

3、日本增兵菲律宾，31国涌入亚太，中方强敌全上榜，信号够直白

小组赛首轮对阵刚果，葡萄牙控球率高达75%，完成892次传球，但全场只有9脚射门，最终被对手1-1逼平。

4、又有人“阳”了？6月新增新冠确诊7.9万例，专家：多为轻症，不必恐慌

本场比赛，法国打平就能获得小组第一，而挪威必须赢球才能拿到小组第一。

5、全锦赛正赛签表出炉！莎头最狠签，动漫战友谊，龙蟒保送进8强！

吴太兵表示，“AI更大的机会在于增量市场，那些以前完全不做剧的、完全不做视频的人开始入场，这才是更大的空间。

【南非：防守反击的极致演绎】 南非能从A组出线，赛前恐怕没几个人能想到。

宁可去小公司真干两个月，也别挂名混三个月。

6、湘潭万楼至莲城大桥段滨江绿地成市民“生态会客厅”

显然，亚特兰大将放弃2400万欧元的买断权，米兰不但会损失掉一笔可观收入，还要重新规划球员的未来。

阿浩说，提交开店申请后，选址开发人员三天两头给他打电话，有一次话说得很直接：“准备1万。

7、2026年世界杯F组最佳阵容日本队无人入选，韩媒直言堪称巨大屈辱

在考察超长程软件工程任务能力的 SWE Marathon 测评中，K3 以42.0分位列第一；在 AutomationBench-AA 中以53%居首，长程知识工作 Elo 1547 仅次于 Fable 5。

从招股书看，2024年，铝水采购价上涨6.63%，铝粉售价仅上涨4.43%；2025年，铝水采购价上涨3.97%，铝粉售价仅上涨3.15%。

8、报价7000万欧元！巴萨与戈登达全面协议！希望尽快完成转会

内部压力来自管理层，阿囧被传与首席执行官富拉尼、红鸟高级顾问伊布政见不合、关系紧张。

收入怎样转化为利润，用户增长怎样形成网络效应，监管变化怎样影响订单，技术突破又怎样进入投资者实际持有的股票或代币。

塞内加尔作为非洲杯卫冕冠军，首轮1比3不敌法国，但比赛过程远比比分更有内容。

9、老鹰队交易谈判陷入停滞，湖人队对库明加的追求处于何种境地？

这笔交易很漂亮，不只是小成本换来了大回报。

两队最近一次交手还要追溯到2010年的友谊赛，当时英格兰3-1击败墨西哥。

10、巫林峰当选2026怡宝中乙联赛6月最佳球员

决赛中，费兰在替补席上等着。

”当追求荣耀的道路上总是缺少最后一块拼图，这位已经倾尽所有的英格兰队长，或许真的需要好好消化这份难以承受的空虚，再决定是重新出发，还是就此告别。

1、垃圾分类与再生资源两网融合 催生经济效益可观的绿色产业

对于正处于职业生涯上升期的萨利巴而言，这次手术既是无奈之举，也是彻底根治伤病的必要选择。

2、“有老鼠有啥关系”，桂林一米粉店里老鼠乱窜，顾客反映遭店家斥责“找茬”

这也是为什么这届世界杯科技圈大佬来得特别多的原因。

3、CUBAL半决赛 湖南工大憾负太原理工

上赛季，科莫托在意乙共出场28次，其中9次首发，累计出场时间1254分钟，平均每次登场约45分钟。封航！雷雨、大风将抵无锡！奥亚萨瓦尔——决赛前已有五球进账——和法维安·鲁伊斯被巴萨组合佩德里和费兰·托雷斯换下，德拉富恩特想给球队带来些不同的东西。

4、家长必看！黑龙江疾控发布暑期防病提醒，诺如、手足口病这样防

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、比走路降压、比按摩舒服！这个被严重低估的“宝藏运动”，坐着就见效

多年来，耐克都存在官方原价、品牌旗舰店售价、第三方店铺价格参差不齐，价格体系极为混乱的情况。

6、这一次，爽文女主70岁

中国设备即便做出来，也常常只能从非关键环节进入，研发投入不小，订单却不稳定。

因此，末轮对阵卡利亚里，阿莱格里会坚持拿下状态不佳的球员，启用心理状态和身体情况良好的球员。

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。

7、探访喀斯特深山的“双料”果农：右医青年聆听“Movers4Climate”乡村气候韧性故事

如今，转会拉锯战越拖越长，反倒给了巴萨的竞争对手们时间，让他们有机会在阿尔瓦雷斯的争夺中强势介入。

目前H组西班牙积4分排名第一，乌拉圭与佛得角同积2分，沙特1分垫底，末轮另一场由佛得角对阵沙特。

8、WTT美国大满贯女单爆冷，女乒二种子惨败伊藤美诚光头造型

一位在软件公司工作的朋友提到，公司过去三年一直在投入研发和销售团队，费用很高，利润却不明显。

公司观察统计，截至目前，A股21家锂矿股中共有19家披露了2026年中期业绩预告。

被裁员，可能被解释为“职业倦怠”；遇到难相处的领导，对方可能立刻被诊断成“NPD”；没有行动力，是“低能量”；不敢争取，是“低配得感”；关系出现争吵，则可能是对方缺乏情绪价值、突破了自己的边界。

伊朗针锋相对，扬言报复整个地区与美国关联的基础设施。