存量车主越多，后续服务收入越高。

1、博亚平台 ” Kimi总裁张予彤在去年被问到“如何在技术和市场层面与巨头大厂形成差异化定位”时，也提到了类似的看法。

更夸张的是投资方阵容，翻开历轮融资公开名单： 国资背景有中金资本、建投投资、上海半导体产投基金等； 产业资本有华为哈勃、北汽产投、伊利健瓴资本、万向钱潮； 跨境资本有新加坡狮城资本、中国-比利时基金； 市场化投资机构有达晨财智、华控基金、复星锐正、普华资本…… "四类资本全覆盖，这种股东结构在AI初创里绝对是顶级配置"，一位硬科技投资人评价道。博亚平台他的特点与约克雷斯有相似之处，而且与阿莫林同是葡萄牙人，沟通起来没有障碍。

2、Hello APEC！

北京时间7月15日凌晨3时，2026年美加墨世界杯首场半决赛在达拉斯打响。

3、建设银行黑龙江省分行：个人消费贷款信用卡账单分期 财政贴息 至高3000元_网易订阅

家庭场景最具想象空间，但也最难验证。

4、法媒炮轰谢尔基：首发表现依旧低迷，补水时还顶撞德尚

我们敬佩赖斯的职业精神与钢铁意志，但更心疼他在荣耀背后默默承受的代价。

5、定了！无锡地铁最新通知！

通过结合FIFA世界杯与有奖互动机制，乐事将产品转化为消费者接触世界杯的入口，进一步拉近消费者与顶级赛事间的距离。

储能电芯排产数据显示，其正以季度环比加速的节奏快速消化碳酸锂库存。

首轮比赛两队一胜一负，这场较量直接关系到小组出线形势，双方都需要全力争胜。

6、蔚来全新五座行政大型SUV上市！租电方案低至27.48万，配双腔空悬

2026 年正成为 AI 产业的"IPO 大年"，全球头部玩家集体涌向资本市场。

因此，在这笔高达5000万美元的转会中，巴萨只能获得基础分成，彻底失去了这笔巨额转会费的半壁江山。

7、梅西又有望拿金球奖了！一人2助攻导演逆转，28岁巨星成替补奇兵

从对手特点来看，切尔西与米兰的备战轨迹高度相似，两队都在今年夏天完成了主教练更迭。

零跑明确表示“从未使用过177Ah磷酸铁锂电芯”；大众中国表示在售车型未搭载中创新航；小鹏方面则是“不便回应”。

8、失去桑巴韵味，巴西再度梦碎

敖尹背靠反派组织的复杂人设，自带强势、带有征服欲的叙事风格，和当下主流的“大女主”情感认知相悖。

拓竹如果只是把这些数字做得更大，它最终仍会被视为一家效率更高、产品更好、规模更大的硬件公司。

在阿莫林偏好的三中卫体系中，右脚中卫需要具备稳定的出球能力和对抗硬度，托莫里虽然爆发力出色，但其防守选择的不稳定性不符合新体系要求。

9、梅西2026世界杯数据封神：GOAT的终极答卷，六项进攻数据高居榜首

早在一年前，孔蒂就已有离队的想法，不过在老板德劳伦蒂斯的游说下又留下干了一年。

2026年世界杯小组赛I组将迎来一场焦点大战，挪威对阵法国。

10、能下树吗？皇马高层对罗德里加盟心存疑虑，赞助商和球迷极力支持

英超的报价来过，沙特的支票也摆上了桌面，他统统没看。

再用＂上海工厂类比＂来宽容AI烧钱也站不住脚：当年每一分钱投向的是已被验证的电动轿车品类，产能爬坡斜率清晰可见；如今投的是没有落地时间线的Robotaxi和机器人，路径完全不可控，风险是数量级的跃升。

1、血脂高只能吃药吗？研究揭示：膳食纤维每多10克，心血管死亡风险骤降23%，很多人却吃不够！

双方近6次交手，法国2胜4负，处于下风。

2、本周五晚，一起为湘超株洲队应援助力！

尽管尚未取得进球，但他以5次助攻领跑赛事助攻榜，其细腻的脚法、开阔的视野与精准的传球，为姆巴佩和登贝莱输送了无数致命炮弹，是球队撕开密集防守的关键枢纽。

3、盛李豪夺得2026年国际射联全项世界杯杭州站男子10米气步枪冠军

礼来全年营收651.79亿美元，同比增长45%。行走的炸弹，17岁国家队首秀，38岁不退役，加盟国米0出场第二个是电池供应商的直服能力缺失。

4、布莱顿重磅签约！5000万英镑敲定热刺天才中卫武什科维奇

然而，“小蜘蛛”之所以被马竞视为珍宝、令巴萨等豪门垂涎，正在于他拥有区别于普通球员的顶级特质——在关键时刻一锤定音的能力，以及打进高难度进球的本能。

5、意媒丨阿莫林将训练延长并着重搞战术演练

长川科技的成长逻辑建立在三个相对独立的产业周期上：算力芯片测试（AI驱动）、存储芯片测试（国内存储芯片公司扩产驱动）、先进封装设备（Chiplet和CoWoS等驱动）。

6、3大争冠热门同夜出战：葡萄牙德国均2-1险胜，英格兰赢球却遭质疑

北京时间6月25日凌晨，2026美加墨世界杯B组将迎来末轮焦点战，瑞士与加拿大在温哥华直接对话，争夺小组头名。

经过120分钟的鏖战，三狮军团凭借贝林厄姆的梅开二度，以2-1逆转击败“维京海盗”挪威，顺利挺进本届世界杯四强。

法国队本届赛事前六场保持全胜，小组赛三战轰入10球仅丢2球，以I组头名强势出线。

7、上班族午休睡姿大赏，哪款“充电”效果最佳？

阿根廷就此再次闯入世界杯决赛。

哥伦比亚的技术优势和战术素养，可能会给加纳带来不小的麻烦。

8、成都警方回应“成华区、锦江区相关偷拍案件”：已抓获涉案嫌疑人

但说服维拉放人绝非易事。

梅西选择在这个节点站出来，表面是在“怼”裁判，实则是主动承担起与裁判沟通的重任，用一次克制的抗议，将潜在的冲突化解于无形。

在拓竹出现之前，消费级 3D 打印机已经不是一个新鲜赛道。

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。