（本文首发于钛媒体APP，文 | 消费纵深，作者 | 谢璇，编辑 | 杨林）整个6到7月，《恋与深空》几乎承包了乙游圈大半争议话题。

1、高比体育 传控足球vs防守反击 荷兰主打4-3-3高位传控体系，全队身价约7.2亿欧元，在对手半场传球占比场均达到62%，禁区前沿控球时间占总比赛时间28%。

主教练阿莱格里承受了很大的压力，其中外部压力质疑他的战术安排，这导致对阵乌迪内斯“顺应民意”变阵4-3-3，最后主场3球完败。高比体育卖车和储能赚的钱，直接被抽走投向了Robotaxi、Optimus、AI 算力和芯片工厂。

2、2026上海中本贯通分数线为什么集体暴涨？家长都哭了！

欧美杯缺席，这场世界杯决赛算是弥补。

3、不怕台风的塔吊，藏着什么玄机？

公司目前拥有超500项授权专利，智能仿生手获美国FDA认证，是全球首家把非侵入式脑机接口做到大规模量产的企业。

4、一代“四哥”谢贤去世！89载传奇人生落幕，谢霆锋含泪送别：不必太伤心

右路如今就是梅西的做饼灶台，两次助攻，梅西用最无私的方式带领阿根廷走出了泥潭。

5、每个人都能用诗歌“酿生活”（暖闻热评）

弗里克还希望挖掘两人的无球跑动能力，这可以在不削弱球队创造力的前提下"解放"——而非替代——亚马尔，让他把更多精力投入到组织进攻中。

库巴西坦言，他还在消化自己在这届赛事中所取得的成就——他已经确立了自己作为西班牙防线领袖之一的地位。

由于多名一线队主力仍因世界杯赛事处于休假状态，此次集训初期将以考察阵容和储备体能为核心。

6、威少拒绝联手詹姆斯！他俩二选一！中国队也下场了！

在滕哈格执掌曼联期间，这位阿根廷边锋一度如鱼得水。

这是全球首款获批上市的侵入式脑机接口医疗器械。

7、2026树屋新玩法！不占地、不闲置，二胎家庭闭眼冲！

典型的“森保一模式”是上半场隐忍，下半场60分钟后突然提速，利用体能和轮换优势冲击对手。

在沈亦晨看来，光的时代才刚刚开始，在未来5-10年，光互连、光交换和光计算都将在AI算力领域扮演更加核心的角色，塑造AI基础设施的下一个时代。

8、成龙发文悼念谢贤：我还在做武行的时候，他已经是大明星

在分别以2比1和3比1淘汰挪威与瑞士后，英格兰队状态正佳，主帅图赫尔预计不会对首发阵容做出大幅调整。

5月，乐事推出FIFA世界杯限定产品，以热门球队国家的经典美食为灵感打造限定口味，同时将球队特色元素与国际球星形象融入包装设计，在不同渠道烘托世界杯氛围，精准捕捉球迷及消费者的目光。

“从小你就梦想着这一刻，而当真正接近目标时，脑海中浮现的只有捧起大力神杯的画面。

9、EA Sports FC 27定档9月25日，首个玩法预告片公开

新赛季临近，巴萨迎来了一个好消息：费尔明·洛佩斯的恢复已进入最后阶段，即将迎来期待已久的复出。

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。

10、帕尔马新援达法拉和隆塔尼出席新闻发布会

很长一段时间，高级顾问伊布都在重建工作中拥有最大决策权，而卡尔维利则从董事会成员转而暂代富拉尼的首席执行官职位，未来转正的概率也比较大。

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、秒删！热火泄露詹姆斯7月27日加盟！但他反悔了！

毫无疑问，我们想回到欧战。

2、细节令人发指！爱泼斯坦在厨房追逐女孩，安德鲁跪伏在女性身上，马斯克问“最疯狂的派对”……

但此后，公司股价一路下行，最新股价较高点已跌去六成。

3、秒删！热火泄露詹姆斯7月27日加盟！但他反悔了！

亏损主因为绵阳爱众发电按照国家政策要求，关停所属泗耳河一、二级电站，相关资产计提资产减值4.91亿元。早读西汉姆和狼队降了级，热刺也差点跟着下去。

4、这哪是赛后美食，简直就是清远食堂自助餐

公司在问询函回复中表示，根据和解书的支付安排，2026年内需支付6.71亿元，2027年内需支付2.19亿元，资金来源拟通过银行贷款及自有资金解决。

5、老街新生 家园蝶变——对口援疆民生与文化的“温度”

而AI行业自身，历经无数个技术风口与舆论喧嚣后，正在告别虚无的“算力军备竞赛”，大模型的商业价值，也在垂直场景中真正兑现。

6、欧洲最佳高层住宅，却被吐槽“中看不中用”？

北方华创最大的幸运，是遇到了中国半导体产业在AI浪潮驱动下加速发展的时代，而它最大的本事，是在机会到来之前，已经默默准备了二十多年。

但无论如何，梅西足以对自己为国效力所取得的一切感到骄傲，尽管他的国家队生涯起步得格外苦涩。

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。

7、许家印再爆大雷！谁能想到认罪仅3个月，转眼他又迎来一个坏消息_网易订阅

两场对决不仅关乎决赛门票，更承载着厚重的历史与话题。

阿根廷方面的这一举动并非孤例。

8、《中医药振兴发展“十五五”规划》出台

这笔交易的迅速达成，不仅宣告了红魔中场重建的关键一步，也让维拉面临核心流失的无奈局面。

此外，赛事至今墨西哥的状态极其稳定，而英格兰则一路跌跌撞撞，面对加纳、刚果等弱旅都表现低迷。

300 万台产能意味着更强的采购能力和制造摊薄能力，也意味着当竞争者跟进时，头部公司有更强的降价空间。

加拿大1胜1平积4分，进7球失1球，净胜球+6高居榜首；瑞士同样1胜1平积4分，进5球失2球，净胜球+3紧随其后。