数据印证了库巴西的影响力。
摘要：投资者即使只是持有普通股票，也可能获得明显的非线性收益。
全球科技巨头正在用行动证明，原生全模态更有可能是通往世界模型的必经之路。
1、亚娱体育 三星的PE从5倍跳到20倍以上，不是利润好了，是利润没了。
过去三年，其全球销售收入增长近50亿美元，连续22个季度实现正增长。亚娱体育就业市场滚烫，叠加布伦特原油突破100美元，两股力量同时指向一个方向：美联储的加息预期正在被坐实。
2、深圳男篮想要赢球！必须弃用李慕豪
这批人一旦对品牌失去信任，传播速度比任何广告都快。
3、EA FC 27提前一周开玩要花100美元？开这个会员免费玩10小时
也可能Anthropic选择押注Coding和生产力场景，只是因为OpenAI已经在to C领域建立了难以追赶的优势。
4、总台暑期精品节目片单发布
高卢雄鸡法国队同样站在命运的十字路口。
5、刚刚
这名科索沃国脚预计今夏离开德甲，尽管吸引了欧洲多家俱乐部的目光，他本人已将候选名单缩减至两家。
壁仞科技推出支持单个超节点1024卡扩展的NPO光互连方案。
它要求他证明另一件事：耐心。
6、足坛动态：国足约战泰国，孙兴慜谈去美国原因，斯卡洛尼谈论梅西
这笔交易能否成行，很大程度上取决于这位英格兰国脚本人的意愿。
最具代表性的例子也是两个，首先是去年夏窗花费3700万欧元从切尔西引进的恩昆库，他曾被寄予厚望能扛起锋线进攻大旗，结果整个赛季下来，只在各项赛事贡献了7个进球和3次助攻，其中3粒还是点球。
7、火箭小将彻底蜕变！高效砍23分14助攻 全场零失误得队友盛赞
对于一位35岁、职业生涯荣誉等身的老将而言，以替补身份结束国家队征程无疑充满遗憾。
但最终，NEOMSC凭借一份极具吸引力的经济方案笑到了最后。
8、前TVB女星嫁百亿富豪，婚后连生两胎，豪门度假生活曝光
阿根廷vs瑞士，比赛看点如下： 第一：两队情况！阿根廷世界排名第三，球队总身价 8.08亿欧元，平均年龄28.7岁，来自五大联赛的球员共有19人；瑞士世界排名第十四，球队总身价3.33亿欧元，平均年龄27.8岁，来自五大联赛的球员共有23人。
细看招股书，大额分红超上年全年净利润且去向存疑；实控人与公司之间上千万资金拆借；主要原材料价格高企之下，净利润预增远超营收；报告期内5次粉尘爆炸、3次火灾，安全事故频发。
相对而言，产业端对行业景气度更为乐观。
9、腾讯START云游戏登陆PICO平台，15小时免费畅玩《黑神话：悟空》
当那辆没有方向盘和踏板的Cybercab缓缓驶过奥斯汀的清晨街头，它无疑是一个极具视觉冲击力的未来符号。
人员方面，利桑德罗·马丁内斯、拉什福德、梅努等世界杯国脚的归队时间相对靠后，但大概率能够赶上这场比赛。
10、装修原来那么简单，专业设计师免费上门定制专属家居方案！
这已是中国央行连续第20个月增持黄金。
据塞尔电台记者桑蒂·奥瓦耶透露，巴萨方面仍有提升报价的空间，但前提是通过与表现挂钩的浮动条款来实现。
1、半决赛终极宿命对决！法国VS西班牙，双雄争霸锁定冠军格局
康复过程虽然漫长，最终让他回到了赛场。
2、胡塞威胁第一次生效！驶往中印的沙特油轮折返，巴铁被逼到墙角
举个具体的：同样在深圳，大厂算法实习月给过万，而一家本地广告公司的文案实习可能只有 1500 还不含饭补。
3、吴前举办婚礼：胡明轩孙铭徽等出席 尚未接受浙江男篮老将合同
一签500股，缴款4330元。寻迹“八仙”传说 民俗学家李建中解码“八仙”文化密码｜八仙过海2022年卡塔尔世界杯小组赛首轮，正是温契奇主哨了阿根廷1-2爆冷不敌沙特的那场震惊足坛的比赛。
4、卡萨帝20年：从高端第一到AI生活领跑
一家公司的市场空间很大，却不知道下一份订单何时出现；某项技术可能改变世界，却不知道商业化还要烧掉多少钱；一只股票被低估，却不知道什么力量会促使其他投资者重新定价。
5、北京CBD压轴之作！Z1a地块项目正式开工！
战术核心是高位逼抢结合垂直快传，利用边路突击撕开对手防线。
6、随着上海男篮夺冠本赛季最终排名出炉！北京第4、广东第5，山东第7，辽宁第10，四川全败排在第20
但模型发布后的评测结果却泼了冷水，AI模型评测平台Arena.ai显示，Gemini 3.6 Flash在前端代码竞技场中以1537分排名第12位，第三方评测机构Artificial Analysis的模型智能指数得分为50，与上一代3.5 Flash持平。
“当算力逐渐逼近物理极限时，光将驱动AI基础设施变革。
拆解这份投资方名单，你会发现它的“含金量”远不止于金额本身。
7、C罗终于进球后：哄过全世界
哈维受青睐的原因在于极其崇尚进攻的打法，执教巴萨2年半时间胜率达到63.6%，拿到1个西甲冠军和1个西超杯冠军。
从技术特点来看，亚沙里确实具备接班莫德里奇的底层能力，双脚都能完成高质量的短传和长传转移，原地摆脱逼抢的动作速率不错，视野也够用，但他的问题在于节奏。
8、赵又廷谈接不到商业大片，称“没流量，没人找”
西班牙如今有两粒世界杯决赛进球。
赢下国米后的最近8轮联赛，米兰累计丢掉12球，场均失球1.5粒，翻了一倍多，零封场次仅2场，零封率跌至25%。
维尼修斯的4粒进球全部来自小组赛阶段，包括对摩洛哥、海地及苏格兰（梅开二度）的破门，但随着巴西队出局，他的进球数已定格。
7月23日，也门胡塞武装袭击红海两艘沙特油轮，中东冲突开辟了新战线。
中交凤启虹桥未来5-10年价值研判：三大引擎驱动资产稳健上行
世界杯一夜动态：巴西3-0苏格兰，摩洛哥翻盘，波黑击败卡塔尔
不打了！广东最强天赋内线正式签约，杜锋痛失夺冠底牌！
LV现在买包居然要先预定？
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- 1 埃及这边则是通过点球大战淘汰了澳大利亚，创造了队史首次晋级世界杯16强的历史。
- 2 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。
- 3 这支球队最大的特点就是大赛经验极其丰富，40岁的莫德里奇第五次出征世界杯历史。
- 4 潮流新品 奈雪「奇异果超C小绿瓶」全新上线 近日，奈雪的茶「奇异果超C小绿瓶」全国全新上线。
- 5 美洲2026上半财年营收1.47亿欧元，同比增长6%。
- 6 增长背后，利润为什么消失了？ 关于特斯拉Q2 的成绩单，一个最值得关心的现象是：在营收创纪录的情况下，特斯拉却出现了利润缩水、毛利率分化、费用暴涨、现金流转负等情况。
- 7 此前，我们曾发布《县长的基金梦，醒了》一文，其中提及，54号文对区县级国资设立基金进行了严格限制，区县资金枯竭已成定局。
- 8 Q2谷歌服务实现营收945亿美元，同比增长15%，其中广告主业略超预期，搜索广告增长17%、YouTube广告增长13%。
- 9 东方甄选表示，净溢利增加，主要由于东方甄选自营产品的稳步推出、持续丰富，第三方代销产品也更加多元且均衡，让公司整体的产品结构进一步优化。
- 10 ” 博睿康成立于2011年，长期深耕脑电采集、神经调控与脑机交互设备，目前已形成20余款非侵入式产品矩阵。
- 11 面对沙特方面开出的丰厚合同，这位曾被视为巴萨未来希望的左脚将，最终选择了在职业生涯的巅峰期前往中东“淘金”。
- 12 AI手机，似乎真的来了。
- 13 这个阶段赔率最好，失败概率也最高。
- 14 HAMR技术希捷已经研发了二十几年，我们是通过技术突破来消化成本的，产品硬件物理规格没有变化，但容量增长了很多。
- 15 大幅轮换的法国队防线形同虚设，英格兰人毫不留情地用4个进球将高卢雄鸡钉在了耻辱柱上。
- 16 纸面实力：青春风暴VS老兵不死 英格兰FIFA排名第4位，以15亿欧元的总身价高居本届世界杯身价榜第2位，其中贝林厄姆、凯恩、萨卡身价均突破1亿欧元大关，个人能力毋庸置疑。
- 17 西班牙牢牢掌控中场节奏，切断了基利安·姆巴佩的接球线路，并抓住法国队的连续失误予以惩罚。
- 18 无论是TT语音，还是AI音乐，趣丸科技的思路是将“用户洞察”置于技术研发之前。
- 19 但历史总会记住那些脉络。
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