“短期来看，市场虽存在8月‘抢装潮’以规避税负的预期，但该逻辑此前已在传言中部分消化，实际拉动效应尚待观察。

摘要：2026年7月，北方华创的市值跌了2000多亿。

在调侃之外，地平线机器人、Momenta本质上是直接交锋的竞争对手。

1、火狐官网约21万辆的涉事车辆规模中绝大多数是网约车、出租车等营运车辆。

国家市场监督管理总局的缺陷调查会介入，技术结论必须公开；车主可以依据召回事实提起集体诉讼，要求赔偿营运损失、车辆贬值损失；保险公司的产品责任险理赔通道被激活；监管机构的缺陷认定报告会成为所有后续法律诉讼的核心证据。火狐官网Ropet成了林夏的固定搭子这种“确定性”，或许就是AI宠物切入市场的核心卖点，它命中了当代社会“孤独经济”与“宠物经济”的交叉口。

2、1746个螺母被认定为枪支散件，五金厂老板获刑四年，其父：螺母系玩具商定制安装在玩具水弹枪上

07 第一笔不是证明自己，而是购买继续观察的资格有了账户框架以后，周远重新研究朋友那家软件公司。

3、镜报：阿森纳准备7000万镑报价纽卡队长吉马良斯

四人包办了皇马全部17粒进球，展现出巨星云集的统治力。

4、18次达阵领跑联赛，带伤征战8个月终手术，19岁新星恐缺席赛季初

巴拉圭的吉尔和日本的铃木彩艳，都是表现格外抢眼的门将。

5、1976年林肯大陆Mark IV无保留拍卖：表显4.6万英里，实际已超12万英里

2026年世界杯期间，类似抗议在法国也曾出现——一份超过8.2万人签名的请愿要求重赛法国对阵西班牙的半决赛，理由是首开纪录的点球存在争议判罚，但该请愿同样未对赛事进程产生任何实质影响。

早有传统富豪去现场看球这件事，在最近这几届世界杯上，已经不是太新鲜的事儿。

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、格德斯进入卡塔尔归化视野！亚洲归化提速，中国足球跟不跟？

如今，作为马拉多纳的传承者，梅西将迎来个人第206场国家队比赛，也是他职业生涯首次对阵英格兰。

但预测这件事，本身就是足球乐趣的一部分。

7、程蓓会见我市全国“两优一先”表彰对象

第一份实习进不了大厂，没关系，把它当跳板。

”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。

8、上海海港官宣两大新援！坎波斯免签，格劳租借加盟，7外援联手

这背后，是大模型训练与推理对GPU的饥渴、国内数字化转型的加速落地，以及上市后资本与技术形成的正向循环。

从小组赛首轮表现来看，两队都打出了各自的战术特点。

作为预热阶段的亮点，贝克汉姆亲自在社交媒体发布“一包乐事直达FIFA世界杯”活动，号召消费者打开乐事活动装，赢取世界杯现场观赛的机会‌¹。

9、限量30台仅跑1077公里，保时捷911 GT2 RS Clubsport 25之四号待售

据第三方机构Artificial Analysis的测算，Kimi K3单任务成本约0.94美元，与GPT-5.6 Sol的1.04美元接近，约为Claude Opus 4.8（1.80美元）的一半，价格带基本和海外头部模型属于同一阵营。

全队上下将全力支持他，确保他尽快恢复健康。

10、明年台积电价格或上调5%至10%，苹果官方：已无力独自消化成本，iPhone 18 Pro高配版涨幅或达近2000元

不过，已经适应了生存压力的民营GP，展现出了惊人的“进化能力”，各种自救怪招层出不穷。

这意味着，他不仅是终结者，更是阿根廷队当之无愧的最强大脑。

1、今晚，邵阳有礼了！

然而两人当前的年薪都远超千万欧元级别，若自由转会，必定索要更高签字费和薪资。

2、NBA消息人士：至少八九名球员在等詹姆斯做决定，库明加也在其中

一位招商局局长叹息：“以前出去谈判，底气全靠手里的基金。

3、曾被原车主保留47年，这辆1976年Datsun 280Z现无底价拍卖

英格兰由戈登先拔头筹，但恩佐·费尔南德斯一记势大力沉的远射如炮弹般轰开三狮军团的大门，随后劳塔罗·马丁内斯头槌建功，2比1完成逆转。超市开张！降级队卖人狂赚1.5亿英镑！对中创新航来说，这是一场商业模式的拷问。

4、梅西世界杯决赛后痛哭，阿根廷加时惜败西班牙无缘卫冕

2025年，公司录得营收30.30亿元、归母净利润-3.65亿元，同比减少5.74%和255.02%。

5、中国女篮2分惜败后，宫鲁鸣教练组或做三大调整

这份名单最扎心的地方在于，它像一面镜子，照出了中国男足在亚洲足坛的真实坐标。

6、比尔队球星惊人理论：我们球场被诅咒了！旁边墓地藏着四连亚的秘密？

“HWG！”随着知名记者罗马诺标志性的确认，一笔重磅转会正式尘埃落定。

法兰克福的土耳其小妖乌尊是近期被重点提及的名字。

西班牙方面以礼相待，寒暄握手，共同观赛。

7、62杆平大满贯纪录却因2柏忌痛失前四赫伯特：恼火，要等一年才能再打大满贯

差53倍。

托莫里的潜在下家目前尚未确定，英冠升班马考文垂曾表达兴趣，但遭到球员团队拒绝。

8、亚利桑那州16年陆巡FZJ80待售：配ARB前后杠、OME升高套件，213k英里

锋线上还从萨尔茨堡红牛闪签了奥卡福尔（1550万），此外还有泰拉恰诺（维罗纳，450万）、佩莱格里诺（普拉滕斯，380万）和约维奇（佛罗伦萨，50万）。

从追逐暮年巨星到引进当打之年的实力派球员，沙特联赛的引援逻辑正在发生根本性变化。

而且大厂高薪岗对应的是极高强度。

此役，托雷斯在第60分钟替换奥亚萨瓦尔登场，接过了同样的任务。

2-0！美国将止步16强？大胆：主裁敢将东道主的射手王红牌罚下 4个进球被吹！成都蓉城2-1逆转云南玉昆，7轮不败继续领跑积分榜 10球夺金靴！姆巴佩世界杯22球超越梅西，创56年纪录定了！“泸超”决赛6月21日在奥体中心举行

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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。

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