等到第二年自己关店，再点进去看，群里已经少了四成的人。

1、天博登录 他们场均控球率只有43%，主动放弃球权，依靠稳固的防守和定位球寻找机会。

中际旭创凭借800G的先发优势和1.6T的前瞻布局，成为这场算力军备竞赛中最大的卖铲人。天博登录在资本、大厂与创业者纷纷涌入的喧嚣中，AI宠物能否跨越高级玩具的鸿沟，成为真正被市场长期接纳的品类，关键在于厂商不再执着于让机器更像宠物，而是专注于让机器更好地理解孤独。

2、小马智行一季度营收大增145% Robotaxi业务持续提速

中科宇航还表示，将开启下半年逐月常态化发射。

3、华为理想小米今日开启“流量大战” 投票显示还是它最火

场均22.5次解围、10.2次拦截的数据，足以说明澳大利亚的防守强度。

4、库拉索门将单场15次扑救创世界杯纪录，笑称国内该为自己立雕像

01 傲慢失风口 礼来是最早发现GLP-1能够用于治疗肥胖的公司。

5、不打了！CBA最强大外援被曝欲离队，将引起广东山东等多队疯抢？

字节+努比亚：硬件厂与模型厂的深度联姻 努比亚NaviX Ultra走的是“硬件厂+大模型厂”深度绑定的路线。

他在淘汰赛阶段11球的惊人效率，以及在逆境中（如对阵摩洛哥罚失点球后轰入世界波）展现出的大心脏，证明了他是当之无愧的终结者与精神领袖。

考虑到引入成本太高，年龄也不大，米兰大概率会留下亚沙里再考察1年。

6、1980年，众人要求处死江青，陈云：若一定要杀，请写“陈云不同意”

首轮打巴拿马，他们让出63%的控球率，依靠门将阿蒂-齐吉的4次神扑和补时绝杀偷走胜利；次轮面对身价14亿欧元的英格兰，加纳更是打出了“反足球”式的防守表现，控球率仅21%，全场仅2次射门，却用严丝合缝的5-4-1阵型让英格兰的攻击群集体哑火。

并且新门店会考虑品牌特性、消费者画像和产品属性，把资源集中到更有成长性的品牌店、旗舰店和更适合做全渠道运营的点位上。

7、【CBA联赛】第二十七轮｜浙江稠州金租95-101不敌南京天之蓝

两个位置我都适应自如，无论教练安排我踢哪里，我都会全力以赴。

最具代表性的是雷特吉。

8、篮网追字母哥成交易黑马

2025年，替尔泊肽全年销售额365.07亿美元（降糖版229.65亿美元，减重版135.42亿美元），以4亿美元的优势超越司美格鲁肽，登顶全球药王。

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。

德泽尔比到来后情况有所好转，但起点实在太低了。

9、记者：林良铭合同年底到期，续约还没有消息

特斯拉方面表示，目前已在两个州六座城市完成超38 万英里无安全员自动驾驶，零重大安全事故。

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。

10、马尔蒂尼：意大利选帅不仅联系了瓜迪奥拉，还接触了安切洛蒂

哥伦比亚全队身价3亿欧元，世界排名第13位，主帅洛伦索打造了一支攻守均衡的球队。

因为借款人在最初优惠利率结束后，明显上升的月供会带来很多信用违约。

1、红魔家族全系电竞新品亮相MWC24，完善电竞游戏生态圈

球队在无球状态下同样会全员退守，但持球阶段的进攻威胁明显更大。

2、巴基斯坦没在开玩笑，伊朗最好不要“踩红线”，巴军随时准备参战

作为迪桑特BLANC店铺概念在上海核心商圈的重要落地，上海环贸商场BLANC店铺以鲜明的空间语言与零售表达，进一步丰富品牌在高端都市零售场景中的布局。

3、潍坊滨海区：夏日海风催热文旅消费

米兰对阵尤文的第34轮联赛中，红黑军团替补席上坐着1.5亿欧元成本的阵容，这反映出管理层在过去的两个转会窗口的引援工作推进不力。记者：库明加团队不想詹姆斯回骑士，因其有本机会去骑士站稳脚跟2026年夏季转会窗口进入关键阶段，意甲多支球队围绕中后卫位置展开密集运作。

4、WAIC一间很“主动”的AI小屋，藏着京东通往整个物理世界的野心

而耐克进行DTC直营化的初衷，就是想要统一价格、减少无序打折的情况，同时修复品牌溢价，稳定整体价盘。

5、还没发货，杭州一经销商突然关店！松下中国：已介入处理，8月初为涉事客户发货

只要连续听几档中文播客，很快就能学会一套新的普通话。

6、姚顺雨，完成腾讯混元组织大一统

这一次，欧文造点，贝克汉姆顶住万千压力一蹴而就，帮助英格兰1-0力克阿根廷。

不少球迷直言：“山东泰山只输了两个已经是运气好了，全靠王大雷8次极限扑救在门前‘续命’。

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。

7、对话FutureTech张梦钊：从“一个人+一群Agent”到超级个体，AI正在重塑创业范式

葡萄牙全队总身价高达10.2亿欧元，位列世界杯所有参赛队第四，FIFA排名高居世界第五；乌兹别克斯坦全队身价仅8500万欧元，FIFA排名第50位，身价差距超过12倍。

二者都认为，代码不只是一个应用场景，也是模型影响现实世界、改进自身研发效率的工具，以及不会把商业成功作为初心。

8、功夫女足上映仅24小时，难堪的一幕发生，口碑崩塌，冯小刚没说错

随着投诉量激增，这批被称为“香蕉电池”的问题电芯逐渐浮出水面。

Anthropic之所以独特，是因为Dario看过好几次共识在一夜之间翻盘后，就开始专注于自己的bet。

当词汇只是扶手，它们能帮助人站起来；当词汇被当成答案，现实反而容易消失。

但净利润的增长和公司经营并没有直接关系，主要得益于一笔大额的“其他收益”。