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、乐鱼电竞 驳回西藏联合的其他诉讼请求。

2023年，巴萨以700万欧元将特林康出售给葡萄牙体育时，曾保留了50%的二转分成权利。乐鱼电竞25-26赛季，他各项赛事为亨克出战49场，贡献3球14助攻，其中欧联杯13场2球1助攻。

2、CBA速递！国手锋线加盟北控，广州男篮敲定主教练，北京男篮深入接触桑普森，欧洲多支球队有意洛夫顿

18岁的米兰青训小将本赛季租借效力于莱切，在意甲联赛中出场18次，打入1球。

3、丢掉5个冠军点之后，诺斯科娃发誓要得到那个更大的奖盘

不过，在罗杰斯随英格兰队结束世界杯征程、从美国返回之前，阿森纳很难得知这是否具备现实可能。

4、中国男篮拒绝爆冷！全力战胜澳大利亚，杨瀚森不打，央视直播

朋友转了一圈，发现实际只用了约50平方米的货柜板材，账单上却写着80平方米。

5、追梦：失去多尔特对雷霆是重大损失 他是最出色的防守球员之一

全场比赛，摩洛哥仅仅只有1次射正，其余时间几乎都在疲于奔命地防守。

同时公司温宿油田原油销量较上年同期下滑。

”某锂盐上市公司人士告诉公司观察，下游需求旺盛，行业景气度好。

6、小卡交易叫停内幕：并非联盟喊停 猛龙被告知有风险双方共同决定

Agent多轮对话中的工具调用会带来三倍以上的上下文膨胀。

利率。

7、前NBA最佳第六人哈雷尔疯了！24小时内双线血战，轰42分创BIG3历史纪录

巴拉圭的吉尔和日本的铃木彩艳，都是表现格外抢眼的门将。

Meta直接将2026年资本支出指引上调至1250亿至1450亿美元，几乎是2025年的两倍。

8、成为世界“会客厅”，成都让世界看到了什么？

标哥给我算过一笔账：加盟商每进一批货，总部都能从采购环节留下约8个点。

25-26赛季，他各项赛事为亨克出战49场，贡献3球14助攻，其中欧联杯13场2球1助攻。

这类模式创新的核心意义，是打破传统乙游固化的套路束缚，让玩家在体验细腻情感陪伴、优质剧情的核心乐趣之外，拥有更多可探索、可体验、可期待的游戏内容，摆脱“剧情更完只能等新卡池”的单调循环，从根源上减少厂商靠试探内容尺度换取流水的操作，也让玩家的注意力不单一聚焦在角色上。

9、超级选秀小年 前3顺位球员不堪重用 为何雷霆却能低顺位淘到宝

国产替代溢价看两件事。

这种“从人出发、以终为始”的产品哲学，使得技术迭代始终围绕真实场景展开，而非陷入单纯的技术竞赛。

10、深耕三下乡暑期实践 陕职青年多点赋能基层发展

库巴西在本届赛事中的表现同样堪称惊艳。

回到产业最朴素的起点，眼下能够真正落地的，不是给健康的人们增加超能力，而是帮助瘫痪、渐冻症、失语症与中风患者恢复运动与交流能力。

1、资本跨境 蓉城论道----第八届"大成•美奇•中泰智达"中国企业出海与境外上市暨外资来华交流对接会圆满举办

值得注意的是，乌兹别克斯坦在反击中制造了不少威胁，肖穆罗多夫的支点作用和法伊祖拉耶夫的后插上进攻都有不错的效果，只是整体实力差距导致最终失利。

2、方博受挫，国乒12人出战资格赛10人出局，乒乓球已不是往日的模样

管理层和教练团队空转，正在让红黑军团付出代价，球队多名核心球员的未来扑朔迷离。

3、CBA快讯！广东欲续约黄明依，广州宁波数百万求购状元签，吴前留守浙江

在绿茵场上，唯有不断奔跑，才能让星辰永不褪色。坚持每天晨跑30分钟，一年后身体有什么变化？这名黑山小将比卡马尔达大1岁，今年3月底就已经与米兰完成签约，最初的定位是米兰未来队，但从最新的情况看，他可能会直接留在一线队，并跟随大部队进行夏季集训。

4、耐克中国，壮士断腕

当时保险资管的出资意向已经盖章落章，尽调报告出了，合伙协议也谈完了。

5、从“人防”到“人机协同” AI重塑金融风控新范式

伊纳西奥作为左脚中卫，具备后场长传和持球推进能力，恰好弥补米兰现有后卫出球薄弱的短板，是阿莫林三中卫体系的理想左中卫人选。

6、8 年后 Gosha 终于回归，但已经没人讨论了？

只有在一个不一样的分支中钻研、发展，才能够真正在新的赛道成为领先者。

第30分钟，法比安-鲁伊斯在禁区内敏锐捕捉到机会，补射破门为球队取得领先。

面对这三道锁，头部企业的应对已经从“被动合规”走向“主动制定规则”。

7、李金羽谈哈兰德在中国大量圈粉：好像没有愁事，一天乐呵呵的

积分榜形势 两轮战罢，B组格局逐渐清晰。

西班牙一路轻松闯入大都会人寿球场的决赛舞台，此前比赛只丢一球，从未陷入落后。

8、8 年后 Gosha 终于回归，但已经没人讨论了？

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。

这些专业术语翻译成四句大白话。

今年夏天，科莫托将继续跟随米兰一线队参加季前赛，由新任主教练对其进行评估。

澳矿、非洲小规模锂矿、国内锂云母，几乎所有边际产能都在那个夏天暂停了生产。