无论是深耕招聘等垂直领域，还是通过极致的成本控制，为价格敏感型市场提供高性价比的模型方案；亦或是敏锐捕捉市场变化，为头部客户提供定制化的基础设施服务。

1、b体育网页版 两人曾在米兰并肩作战，马萨拉作为俱乐部管理层成员，亲眼见证托莫里与卡卢卢搭档的中卫组合夺得意甲冠军。

尽管塞内加尔在1/16决赛中2-3惜败于比利时，遗憾止步32强，但马内用尽最后一丝力气，完成了对国家队使命的交代。b体育网页版结合多家机构综合数据来看，今年以来存储行情延续2025年下半年涨势，其中第一季度通用型DRAM合约价格环比涨幅达55%至60%，NAND闪存产品价格上升超过30%，消费级大容量QLC产品涨幅不低于40%。

2、别随便放弃！这5个体检项目，个个都是“花小钱防大病”的关键

大厂暑期实习通常在前一年底到当年春季开放，很多人就是这阶段拿到了大三暑假的 offer；错过这波，就得等秋季。

3、没完了！国安飞翼1年内连伤2次，本赛季仅踢3轮联赛，已成伤仲永_网易订阅

很多比赛变成了定位球肉搏战，足球本身反而退居其次。

4、默契球？世界杯2场平局获利最大的都最终战平 接下来2场拭目以待

埃斯图皮尼安的转会是目前进展最快的一个。

5、456名志愿者，456个希望——

但从终极性能上考虑，把光芯片和电芯片放在一个模组中的CPO，实际上能带来更好的带宽提升和更低的延迟。

他们未必缺少信息，缺的是一个能把工作、家庭与关系重新串起来的解释。

如今种种迹象表明，他在切尔西的日子确实走到了尽头。

6、没症状也不能掉以轻心，当心这个一类致癌物！

"在2026年世界杯决赛加时赛0比1不敌西班牙后，阿根廷主帅斯卡洛尼承认，对手确实是发挥更好的那方。

无论是在葡萄牙体育还是曼联，阿莫林对前腰位置都有着强烈的执念，他认为9号位身后必须至少配置一名能将球权梳理清楚的技术型球员。

7、读龙江 听北方（2026年7月24日）

换句话说，英伟达每装五个1.6T光模块，至少有四个贴着中际旭创的标签。

当然，埃德森的健康状况还是一个隐患，此前他就没能通过曼联的体检。

8、2比0！3连胜！北京国安渐入佳境，3大好消息助力球队剑指佳绩

停赛一轮后虽然对阵热那亚重回首发，但第76分钟又因为身背黄牌被德温特替换下场。

这对南非来说是重大利好，毕竟前两场缺兵少将都能踢成这样，全员齐整的话战斗力只会更强。

进攻时边后卫大幅压上，形成2-4-4的进攻阵型；防守时可灵活切换为三后卫体系，战术弹性十足。

9、一声爆炸，县委书记应声落马！

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。

足球还是那个足球，只是看台上的人，想的事情已经完全不一样了。

10、受台风“红霞”影响 广东潮州全市停课 汕头南澳大桥25日16时起封桥

在墨西哥城阿兹特克体育场，球王马拉多纳成为了唯一的主角。

瑞典队的表现则如同过山车。

1、「迎飞检」医院强制加班，医生怒打12345！为了评三甲，让医生兼职做保安，连患者都要背手册！形式主义能够消失吗？管理优化是关键

7月22日下午，中国科研团队发布一款新型脑电信号采集装置，在全球范围内首次实现跨地域上千人同步脑电信号采集，使得神经大模型训练与脑机接口通用技术研发迈出关键一步。

2、伊朗打击多地美军基地 特朗普称考虑对伊发动大规模袭击

考虑到球员与桑普的合同要到2027年，此番运作可能是巴萨从佩德罗拉身上获取转会收益的最后一次现实机会。

3、正式敲定！热身赛山东男篮VS南京同曦，或与人员调整外援引进有关

假设第二年收入增长50%，达到1.5亿，毛利润相应增长到1.2亿。这种虫子，看到一只，家里很可能有无数只这位18岁的比利时攻击手，预计将在训练营开始后与球队会合。

4、晒出317万年终奖后，腾讯一员工疑因泄密被辞退，并列入黑名单，永不录用

这位在音乐行业拥有最持久职业生涯之一的歌手，用自己的经历印证了这一点："我三十年的歌唱生涯，不是光靠天赋走过来的。

5、肉桂突然席卷全美餐厅，Cinnabon一年开出超300家新店创历史纪录

这意味着，肥胖从来都不是什么“良性”疾病。

6、正式官宣！前国安锋线快马加盟中甲球队，曾留洋英超，去年踢蒙超

过去三年，各地建起了大批智算中心。

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。

难点在于，各类任务形态迥异。

7、VAR的使用过度已导致足球比赛失去了原本意义

他的转会费约为2500万欧元，尽管费内巴切也曾对他表现出浓厚兴趣。

" "而且，听听他在场下的谈吐，他身上有一种真正的沉稳。

8、咸宁高温持续，26日转小雨降温！未来三天天气多变需防范

但现阶段的Kimi，尚且不能准确回应这两大挑战。

持球人原则上最多两脚触球，理想状态是一脚出球直接传导至进攻三区。

末轮荷兰对阵已出局的突尼斯，取胜几乎没有悬念，基本锁定小组第一。

包含赖因德斯出售的上赛季，即24/25财年，以5590万欧元排名第四。