放眼整个体坛，一批顶尖运动员正在职业生涯中后期主动叩开VC圈的大门，而且各有各的打法。

穆里尼奥葡超31轮不败！本菲卡4-1大胜，距榜首4分，欧冠席位稳吗

75579 ★

摘要：又或许，他们压根就没考虑过人们想要什么。

德尚此前透露，萨利巴从三月份开始就一直在忍痛踢球。

1、九游体育世界杯J组第二轮，卫冕冠军阿根廷将迎战时隔28年重返世界杯的奥地利。

最后回到账户本身。九游体育乍一看是浓眉大眼的主机厂更得人心，殊不知二者甩锅的小心思也昭然若揭。

2、夏天衣服别总穿宽松的，试试这几款修身上衣，舒适又显身材

21万辆在路上跑的车，每一颗电池都是一个潜在的未知数。

3、结直肠癌风险飙升30%？北京大学：每天吃猪牛羊肉超过75克，糖尿病风险还激增66%；但换成白肉，风险大幅下降

如果梅西选择沉默，任由裁判用生硬的语气呵斥，极易引发阿根廷球员的情绪失控，甚至导致不必要的黄牌。

4、“东北超”大连主场VS鸡西，即将开票！

” 尽管球迷一直期待亚马尔能复制他在俱乐部的得分效率，但比赛数据为巴埃纳的分析提供了有力支撑。

5、詹姆斯谈对他感兴趣的球队：勇士、76人、热火，还有叫我去洋基队

但真正让“召回”两个字变得烫嘴的，是另一层算盘——谁出钱。

由于阿贾克斯将承担特尔施特根工资中的相当大一部分，需要有精确的法律文件来应对跨境金融监管。

过去大家聊AI芯片，主要集中于云端GPU；但2026年，AI的竞争战场已经从云端转向边缘、终端。

6、金饰价格，突然大跌！

纸面实力上英格兰阵容厚度更优，全队身价接近14亿欧元。

可以从商业逻辑的混乱问题中，看出一些蛛丝马迹。

7、新一代宝马3系来袭！外观和内饰大变样燃油版与i3纯电版同台竞技

外界往往将意甲豪门拉胯的欧战成绩与资金投入挂钩，认为他们穷是原罪，在转会市场上没有竞争力，只能免签过气老将。

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%。

8、获奖中国数学家：与伟大数学家名字并列是莫大荣幸

同一个夏天，在哥斯达黎加队历史性发挥的纳瓦斯也披上了白色战袍。

葡萄牙和克罗地亚在历史上共交手10次，葡萄牙取得了7胜2平1负的战绩，打进19球仅失8球，占据绝对优势。

图：礼来营收一览但Ricks身上有一个最显著的优点：行动迅速。

9、火药味拉满！葡萄牙2-1惊险战胜智利！莱奥领红离场C罗评分又倒数

但传统制造业竞争日趋激烈，中际装备的市值长期低迷，年营收长期徘徊于2亿元，净利润平均每年只有1000万元左右，2015年甚至跌到了600万元。

2026赛季中超第18轮的焦点之战，在万众瞩目中落下帷幕。

10、辽宁一家三口带娃马路练习骑车，还带着一起闯红灯

海外有Physical Intelligence这样的纯大脑标杆，国内有千寻智能、星海图等融资额更高的“模型+本体”公司。

首先是过度依赖萨拉赫，一旦他被限制或状态不佳，埃及的进攻效率就会大幅下降。

1、巴萨提前夺冠，昔日梅西替代者莱万却面临着是否继续的窘境

边路冲击+中路巴尔韦德的后插上远射是主要得分手段，努涅斯的冲击力则负责撕开对手防线。

2、他曾代表国安踢亚冠首发，如今却被租借到中甲陕西队，引发热议

虽然体能和突破能力不如巅峰时期，但C罗在禁区内的嗅觉和终结能力依然是顶级水准。

3、夏日百搭小短裙，舒适好穿可甜可酷，承包一个夏天的清透凉爽

管理层在引援上可能又要重走三条老路，一是通过“魔球算法”引进20岁以下的潜力股；二是在荷甲、比甲等非主流联赛签下数据亮眼的球员；三是赌博性引进恩昆库这种被豪门球队边缘化的球员。费兰·托雷斯无意续约，巴黎今夏伺机低价求购我自己第一次接触的时候，就很惊艳，它像一个“永不喊累的制片”加一个“全能的后期团队”的合体。

4、五角大楼突然修改美军阵亡数字

储能成为增长新引擎 2026年上半年，中国储能电池出货量约485GWh，同比增长超80%。

5、一个命苦，一个命好！U23国足抽到亚运死亡小组，女足却喜提上上签

7月19日，鹏城实验室与全球计算联盟联合发布了《超节点定义与实践白皮书》，首次明确：超节点是一种在物理上由多个计算节点通过高效的互联协议紧密连接组成，具备跨物理节点统一内存编址能力，逻辑上具备“一台计算机”特征的计算系统。

6、盘锦推出五项举措，防范汛期地质灾害

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。

更深的体验、更碎片的信息，同时面对更多、更复杂的接触内容的渠道，新一代IP公司所面临的复杂近况是前所未有的。

三个月，三轮融资，合计约35亿元。

7、月经热搜层出不穷，更多好消息开始涌现

公司 2025 年业绩公告显示，全年产品收入下降 5% 至 3.814 亿美元，付费订阅用户增长超过 4% 至 309 万以上，年度活跃用户基本持平；管理层同时承认，对 2025 年公司总销售额缺少增长感到失望。

波罗在成为杀手之前先当了一堵墙——加速，出脚，恰到好处地捅了一下皮球，让姆巴佩失去了惯性，失去了优势，也失去了直面乌奈·西蒙的可能。

8、红薯的两种做法，长胖效果大不一样！

许多球迷或许还记得，早在2023年12月，甘肃积石山发生6.2级地震时，阿根廷国家队就曾向灾区捐赠过大批防寒衣物。

本赛季，被改造成中锋的莱奥迟迟无法适应新位置，状态一落千丈。

一方面，德布劳内的经验与技术仍是比利时队不可替代的财富；另一方面，球队近期在没有他的情况下取得的实战成效，又为教练组提供了另一种选择依据。

此外，即时零售也成为了滔博另一个探索的重点。

暴雨、局地大暴雨，影响江苏啥？在淮海路偶遇蜘蛛侠了？！真的！皇马一线队名额已满，清洗工作不容刻缓赛里木湖景区通报“多名工作人员殴打司机”：现场有7人参与了殴打行为，已被辞退，公安机关已介入

关联文章推荐

加载更多

网站提醒和声明

九游体育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。申请删除>> 纠错>> 投诉侵权>> 平台自有内容（文字、图片、界面、榜单、商标、LOGO 等）知识产权归本站所有，未经书面许可，禁止复制、转载、商用。

提交说明：快速提交发布>> 查看提交帮助>> 注册登录>>

赞 39277

踩 88193

最新评论

用户评论68982

请先登录后再发表评论发布

相关推荐

九脚射正对零，他们早该改写比分。

全新中型家轿上市！不足十万可选增程/纯电动力，还配无框电吸门

71421