霍伊别尔的合同到2028年，但马赛受财务公平法案限制，需要通过出售球员筹集资金，这为米兰创造了操作空间。

1、火狐官网 通常情况下，商业航天的发展会经历两个阶段。

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。火狐官网7月30日，球队将前往骑士头公园球场对阵伯明翰城，这也是今夏首场公开热身赛。

2、库普自曝海鹰通道“走反了”，这里赢球不看Excel只靠搏命

同时，公司的领导者也在将相当一部分时间和精力花费在公司文化的维护上，让顶尖研究者在长期不确定的技术探索中能保持协作。

3、千亿封测龙头涨停，成交额A股第二

据悉，米兰当下的训练课强度大、节奏快，以高位逼抢为主基调，同时非常注重对青年队球员的考察评估，卡马尔达、科斯蒂奇、科莫托、奥索拉都是重点观察对象。

4、杜特尔特被关一年多，能救他的竟是特朗普？国际刑事法院摊上大事

但问题在于，这套机制在风控系统面前等同于一个巨大的后门。

5、时隔16年，西班牙创历史加冕世界杯冠军！

管理层方面，卡尔迪纳莱也狠狠折腾了一番，先是夺冠“斩功臣”，辞退马尔蒂尼和马萨拉，随后又送走接任体育总监的安东尼奥·多塔维奥（现任职科莫），当下CEO富拉尼也正遭到口诛笔伐。

因为借款人在最初优惠利率结束后，明显上升的月供会带来很多信用违约。

这对拓竹是利好，也是提醒。

6、贵客抵达北京！不到24小时，美财长发火：全世界只有中国敢接单

美国4-1大胜巴拉圭一役，控球率达到65%，全场16次射门6次射正，高位压迫战术完全奏效，上半场就以3-0锁定胜局。

晋级本届世界杯四强的球队不仅FIFA排名前四，同时都是世界杯冠军球队。

7、473匹手动911 GTS胭脂红，原价15.8万美元

这将成为红黑军团未来很长一段时间大崩盘的起点，莫德里奇续约成疑，格雷茨卡难以免签，帕夫洛维奇等主力被套现的风险大大增加，管理层也将面临巨震。

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。

8、CCTV5直播申花VS海牛！米兰放眼津门虎+德比大战，司机再不晋级还要脸吗？

防线以欧洲联赛球员为核心，但后防速度不算顶级，面对快速反击存在回追不足的隐患。

多年在加拉塔萨雷转会市场活跃的中间人正全力促成交易，开出的薪资报价为税后800万欧元外加200万欧元奖金。

当销量规模无法突破，高昂的研发与硬件成本难以被摊薄，持续盈利便成为空中楼阁。

9、阿隆索：“乐观，但别期望太高” 阿斯顿马丁押注一站补齐全年差距

所以它的真正战场，可能不是与真宠物争夺主人，而是在那些真实宠物无法触达的场景中，例如办公室、出租屋、旅行途中，扮演一个轻量级的、永远在线的解压神器。

2比0，干净利落。

10、中超7轮积分榜：前三各差2分，2支被扣分球队首进前六，仅2队负分

如果三层全给，15到30倍PE，市值拉到1.7万亿到3.5万亿，股价25到52元。

7月1日至今，公司股价累计回撤达51.51%，不到一个月便已腰斩。

1、精准施策暖人心 高台县总工会用心守护新业态从业人员_网易订阅

假设一段提示词生成30秒视频，如果是标准答案，视频多样性如何解决？如果是非标准答案，出1万个版本才能确保1个可用，抽卡成本和时间成本如何承受？ “所以解决长视频叙事一致性有两条路径：一条是模型直出时长逐步扩充；另一条是直出15秒，通过工具组装起来。

2、南美足联主席官宣重要决定！事关世界杯继续扩军，国足或受益

若中东紧张局势升级、海峡持续保持关闭，推动油价再创新高，高通胀预期将进一步强化美联储加息预期，可能继续打压金价。

3、曼联再遇罗森博格，两年前首发11人6个已走，还有2人待售

第二次是2008年3月的一场国际友谊赛中，阿根廷在客场2-0击败埃及，阿圭罗和布尔迪索各进一球。32k英里2003年法拉利360 Spider：红色经典再现，曾因事故被保险公司列为全损汽车业务毛利率（不含监管信用）仅为16.3%，低于市场预期。

4、国台办连抛三句话，台湾富豪认清现实组团跑路，赖清德酿三大苦果_网易订阅

一连串操作之后，切尔西的锋线人员趋于饱和，至少还有一名攻击手需要另寻出路。

5、邵阳将迎强降雨、强对流天气过程

西班牙vs阿根廷，比赛看点如下： 第一：两队情况！西班牙世界排名第二，球队总身价12.2亿欧元，平均年龄26.2岁，全队球员都效力于五大联赛球队；阿根廷世界排名第一，球队总身价8.08亿欧元，平均年龄28.7岁，五大联赛球员共有19人。

6、夏季联赛收官：2026届新秀表现各异，角色定位初现端倪

然而，这突破500万的签名数却饱受外界质疑。

弗利克在2026-27赛季到来前遭遇沉重一击。

在同轮次的其他比赛中，罗马凭借曼奇尼的头球双响，赢下与拉齐奥的德比战；莫雷诺的进球则帮助科莫1比0战胜帕尔马；那不勒斯也由麦克托米奈、拉赫马尼和霍伊伦德的进球，客场3比0轻取比萨，在数学上确保前四席位；尤文图斯是唯一掉链子的球队，他们坐镇安联球场在以多打少的情况下0-2不敌佛罗伦萨，直接从第三名滑落到第六名。

7、布朗再获首发机会！连续第三场顶替颈部伤势未愈的科拉罗斯

好的模型，高质量的交付结果，肯定有人愿意为此付费。

美国主导的“矿产安全伙伴关系”（MSP）旨在构建排华的关键矿产供应链。

8、1-1，尤文憾平维罗纳，弗拉霍维奇任意球破门，哲格罗瓦错失绝杀

然而，在那之后，三狮军团的局面急转直下。

在许玮看来，“这是一个超千亿的市场，用存储扩展显存，本质不是为了和谁竞争，更多的是希望让每一块钱的算力投资产出更多Token，让每一家中小企业和开发者都用得起大模型。

正规实习不会让你先掏钱；遇到这种，第一时间告诉学校就业中心。

澜起科技称，2026年上半年经营业绩实现大幅增长，主要是受益于AI产业趋势，行业需求旺盛。