此前租借赫罗纳的经历并不如意，一次严重的大腿伤势还让他错过了世界杯。

1、半岛体彩 但对于7-Eleven来说，光是进军新鲜零食还远远不够。

尽管传闻愈演愈烈，巴萨追逐阿尔瓦雷斯的策略并未因此改变。半岛体彩国际足联周一公布了最新一期世界排名。

2、决赛重演？FIFA希望阿根廷西班牙欧美杯继续进行 或定在11月

影石2015年成立后，先从欧美市场做起再转身国内；安克创新完成A股上市后，成立单独的中国团队；Plaud则在海外市场验证产品后，再上线国内市场。

3、也门胡塞组织宣布对进出沙特的船只实施海上禁运，并袭击两艘沙特油轮，中方：呼吁相关各方保持克制，避免采取加剧对立的举动

而接盘方太洋科技作为国内铍材料龙头，过去八年间完成十余轮融资，背后集结了数十家投资机构，机构退出的诉求已经逐渐浮出水面。

4、库尔图瓦：拉门斯是名出色的门将，但这就是足球；库尼亚：代表我的国家参加世界杯，是我一生的努力

但网约车一年能跑十万公里，15万公里的质保线两三年就到了。

5、惊鸿起“武”，国民级现象舞剧《咏春》将在南京上演

目前黄金市场最大的风险是油价失控。

克罗地亚缺乏强力的中路爆破点，佩里西奇在左路的传中是核心手段之一，但加纳防线最不怕的就是高空轰炸。

当时塞内西还在伯恩茅斯效力，今夏刚刚转会热刺。

6、世界女排联赛明天7月23日赛程：加拿大VS土耳其，中国VS美国

与他搭档锋线的是曼城前锋马尔穆什，这位年轻前锋速度快、冲击力强，是埃及反击的一把尖刀。

评估结果显示，所有11个参与测试模型均能生成通过计算校验的DNA分片方案，其中GPT-5.5和Claude Opus 4.6还能提供详细的逐步实验指导。

7、500年欧美主导时代终结，美外交官直言：中国在72年前就给出答案

无论是英伟达GPU持续供不应求，还是云厂商不断扩建AI数据中心，行业普遍认为，只要拥有更多GPU，就意味着拥有更强的算力能力。

沈亦晨将光计算的发展划分为三个阶段：2015年以前是理论探索期；2015年到2025年是产品突破期；未来10年将是市场渗透期。

8、欧协联资格赛：克卢日大学迎战布兰，主场移师塞普西竞技场

截至2025年底，Momenta智驾解决方案已搭载在68款量产车型中，搭载该解决方案的量产车数量已超68万辆。

此后一路下滑，最后只剩每月10万元左右。

如今主流的乙游运营模式，早已跟不上玩家迭代的价值诉求，商业逻辑、内容创作、玩法体系全面陷入瓶颈。

9、津巴布韦临阵折将：舒姆巴腿筋受伤无缘印度T20I系列赛，Kaia替补入选

这意味着，FSD 正在从一项附加功能变成一个独立的需求驱动引擎。

当增长引擎切换，产业的底层逻辑也在变。

10、曼联主场门将服！可印拉门斯&德赫亚！

荣耀：给手机装上“脑”和“手” 荣耀的选择最为独特。

数据显示，自5月6日创下阶段高位以来，天齐锂业股价累计下跌超40%，两个多月时间里，公司市值蒸发超610亿元。

1、众媒看雪都丨《新疆日报》刊发：上半年吉木乃口岸国际道路客货双增

里奇的处境则发生了明显变化。

2、特朗普调侃大都会“花钱挨打”却猛夸勇士：这人从不重建，他就是能赢

乌拉圭首战前，阿劳霍训练中肌肉撕裂，此后贝尔萨的球队小组出局，他一分钟没踢。

3、意外！美国队集体发挥失常：门将惊天大失误，比利时奇招致胜

结语 十二年前，趣丸科技回答了一个问题：如何让喜欢玩游戏的人找到彼此？十二年后，它在回答另一个问题：如何让每一个普通人都有机会创造属于自己的作品、表达属于自己的热爱？ 当大家围绕“单点工具”或“通用平台”的常规路径狂卷不已的时候，趣丸科技以垂直整合为轴心，在AI音乐与AI语音交互两大阵地上，构建起一套“模型—应用—硬件”三位一体的闭环生态。WNBA官宣全明星替换人选 普拉姆伤退让位铜牌老友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。

4、穆里尼奥狂喜！世界杯天才一战征服皇马，全能表现戳中狂人软肋

2022年，第一大客户广汽集团采购金额80.5亿元，占中创新航营收的四成。

5、这辆AEV改装牧马人已行驶7.9万英里，为何仍令人垂涎？

面对如此超神的表现，球迷与媒体纷纷感叹：一切语言都显得苍白无力，今年的金球奖，毫无疑问已经被梅西提前预定。

6、NFL最被高估四分卫曝光：熊队状元郎在列 野马核心也上榜

塞内加尔总身价约4.8亿欧元，阵中同样拥有库利巴利、马内、杰克逊这样在欧洲足坛证明过自己的顶级球星。

朗尼克的执教生涯长期受到红牛系球队的影响，在那套体系里，培养年轻人才近乎是硬性要求，从选材到上升通道都有清晰路径。

除非球员自愿大幅降薪，否则这两人很难转入实质操作阶段。

7、金塔新农人李海燕一腔“农”情守乡土

对于经营业绩飙升，佰维存储归结为主要受益AI算力爆发与存储行业进入高景气周期。

油价还会涨多少？中信证券指出，美伊核心分歧短时间无法真正解决，霍尔木兹海峡通航问题仍将继续扰动全球资产。

8、巨人总经理决心拆队重建：甩卖多名高薪老将，交易截止日前寻买家

亚特兰大那边则有萨里的强力背书，老帅在拉齐奥时期就多次求购里奇，如今在贝尔加莫终于有了合作的可能。

先跑出商业价值的主体，不一定是手握超大模型、充沛资源的巨头，也可能是长期扎根垂直产业、深度吃透业务场景的AI创业公司。

更关键的是，晶圆厂不敢轻易换设备——产线投入动辄上百亿，设备出一次问题，损失就难以弥补。

但资本市场不买账。