与此同时，针对当下的跑步热潮，以及消费者对于运动服饰专业性的要求逐步提高，滔博还推出了以跑步为主题的直营跑步多品店ektos。

1、九游体育 尾声 7月14日，新华网刊发《动力电池新国标落地：安全红线再抬升 存量缺陷亟待兜底》。

76次夺回球权，一对一对抗成功率50.67%——这样的防守投入程度，很难让教练组对他另眼相看。九游体育而当平台经济把这部分能力变成了水电煤一样的基础设施，渠道商最大的竞争力，反而变成了最容易被替代的能力。

2、太慌了！男子在家被五步蛇袭击咬伤，对视后瞬间晕倒……

他认为，从市场化的角度来说，一定是两条腿走路。

3、独家专访北大田刚院士：中国数学正走在从大到强的路上

长鑫目前HBM产能约5000片/月，在26.5万片总月产能中占比不到2%。

4、小说IP改不好的很多，但改这么雷霆的真是少见

但也不得不说世界杯扩军至48队，多了一场比赛，也混入了一些弱队，对于强队的攻击手而言相比过往更加容易刷数据。

5、春色依旧，老詹神勇！

尽管巴萨在这位年轻边锋身上投入不小，但俱乐部并不打算为他举行隆重的亮相仪式。

刘圣认为：每一代产品迭代都会有新企业起来、老企业离场。

如今，vivago海外版已覆盖5000万用户、100多个国家和地区，今年5月灰度版登顶Product Hunt日榜第一，拥有百万级付费用户。

6、门诊来了个“肺结节”患者，我找了个AI诊疗搭子

无论是法国与西班牙的战术博弈，还是英格兰与阿根廷的宿命对决，都已经将本届世界杯的悬念与观赏性推向了最高潮。

主力阵型为4-3-3，中场配置堪称豪华：皇马核心巴尔韦德、曼联铁腰乌加特、热刺全能中场本坦库尔组成的铁三角，硬度与创造力兼具。

7、“两优一先”风采录丨深耕党务守初心 融医惠民显担当——卢燕云

今年夏窗，AC米兰正在经历阿莫林治下最为激进的一次阵容迭代。

意媒明确指出，莱奥在世界杯后的身价并未如预期般提升，这使得门德斯为其寻找下家并争取约6000万欧元转会费的难度大增。

8、小红书官宣获得世界杯版权 向“足球及体育爱好者发出邀请函”

球队将更加注重年轻球员的发掘和培养，通过低买高卖实现俱乐部的可持续发展。

” 对于半决赛前亚马尔的心态，库巴西毫不担心：“他非常专注，清楚自己该做什么。

费兰·托雷斯有机会用第二次触球就成为英雄，但他无人盯防的头球，依然直直顶向阿根廷门将。

9、宝刀不老！39岁梅西暂登金球热门候选第1！世界杯狂轰7场8球4助

瑞浦兰钧联合TÜV莱茵与Circulor推出的电池护照项目，98组独立验证数据集已获欧盟NB机构第三方核验。

这已是过去一个月里，黄金第三次冲击4100美元/盎司失败。

10、德国英格兰“糙哥”踢法原形毕露！强制补水暂停“杀死”比赛节奏

球迷们的热议一针见血：上半区的法国与西班牙，已经凭借极其稳定的表现，成为了本届赛事最接近大力神杯的球队。

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。

1、聚焦｜北京卫星产业生态发展大会在京举行

谁对谁错？现在没有人知道答案。

2、西班牙4球上课沙特！高空作业破解铁桶阵，空地传控是最高境界！

Anthropic提供了一套模板 关于Anthropic的走红路径，并不是一个新鲜话题，但梳理这个话题是我们理解Anthropic门徒的基础前提。

3、奶茶粉、减肥药竟是毒品？延庆一场活动教你认清!

主力阵型采用3-4-3防守反击体系，实战中经常收缩为5后卫。惊天爆冷！西班牙竟0-0战平54万人小国球队！40岁老门将一战成名但这支阿根廷也有硬伤，那就是最强“队副”迪马利亚退出国家队之后，阿根廷没有好的边锋，就连边后卫位置都不是世界级的。

4、损失惨重！伊朗导弹首次炸进叙利亚，美国竟出现严重误判

8.66元的发行价算的是第一层账。

5、39℃！无锡高温将持续一周！

真正的转折点，出现在2025年底。

6、佛得角将阿根廷逼至绝境让国足左右为难，还敢不敢出战友谊赛

刚刚登陆英超时，尼日利亚人经历了一段适应期，到了11月份他开始爆发，5场英超贡献2射3传，其中对阵曼城上演梅开二度，一度成为克拉文农场的“超级替补”。

随后在对阵美国队的比赛中，没有德布劳内的中场凭借拉斯金、奥纳纳以及蒂勒曼斯的强硬拼抢，再次赢得胜利。

本次分组对抗，葡萄牙教头安排了相同的两组3-4-2-1阵型进行镜面对决。

7、随着瑞典3-1+丹麦4-0！世界杯附加赛最新战报：意大利2-0 波兰2-1

伊劳拉最擅长的阵型是4-2-3-1，进攻时十分倚重垂直且快速的后场出球，在防线区域安排三人、在中场区域安排两人进行站位，允许边后卫向前推进，让边锋拉开比赛宽度并尝试突破。

为什么？因为算力，真的不够用了。

8、盘锦本周以多云为主，23日至24日有阵雨或雷阵雨

乐园让粉丝和IP建立起更深的情感连接，也为他们带来新的粉丝。

在日前的新闻发布会上，葡萄牙人明确指出需要秋裤这种具备一对一爆破能力的球员，阿莫林十分看重其在狭小空间内的突破能力。

胜率高达90%，意味着大部分时候都能赚钱；第二种要经常面对亏损，情绪肯定波动大，怎么看都不靠谱。

其中 55% 为一次性买断，45% 选择订阅。