莱奥、希门尼斯、托莫里与埃斯图皮尼安成为最可能被裁掉的第一批人选。

1、博鱼手机 热苏斯合同同样于2027年到期，阿森纳愿意以低于3000万欧元的价格放人，他的优势在于技术细腻、跑动聪明，但伤病偏多且不是纯粹9号。

中间隔着大量的工程整合工作——而这恰恰是链条上大多数参与者并不涉足的环节。博鱼手机如今时间已经过去了两周，选拔没有任何进展。

2、大疆Pocket 4定档4月16，唯卓仕新EVO将至｜势力新鲜报

越早看清这张地图，你越不会被热搜牵着情绪走。

3、难敌巴黎热浪？辛纳爆冷止步法网第二轮 男单冠军争夺战悬念陡升

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。

4、火箭对阵掘金前瞻 顶级的攻防大战 申京对位约基奇成为比赛的关键

随后，伊劳拉转战西乙球队米兰德斯，在那里锻炼1年后转战巴列卡诺，带队首个赛季就率队成功冲甲，随后2年都获得西甲第12名。

5、连续爆冷！女排25-21，25-22世界No.1 李晨瑄的表现太棒了

加时赛下半场，费兰·托雷斯一剑封喉。

恩多耶扳平比分，恩博洛“无脑假摔”成比赛转折点 落后的瑞士队并未放弃，他们在下半场发起了猛烈的反扑。

“成本少”不等于购买价格便宜的期权。

6、放假、联名返场…世界杯决赛让品牌卷疯了

7月7日，信用中国官网公示，宜春时代新能源矿业有限公司已获得非煤矿矿山企业安全生产企业变更许可。

姆巴佩在场边那尴尬的笑容，似乎也在诉说着法国队上半场的漫不经心。

7、悬念已终结？三方面对比，约基奇已现疲态，亚历山大恐蝉联MVP

这套架构的设计灵感直接来自利物浦。

另一个看点是60分钟体能线，塞内加尔高强度逼抢能否在前一小时建立优势，挪威又能否在后程利用对手体能下降的机会发力。

8、18分完胜！中国男篮终于小组出线，前景还是不明！

2022年，第一大客户广汽集团采购金额80.5亿元，占中创新航营收的四成。

阿莱格里此前已介入过米兰对吉拉的追逐，此次乌尊的争夺战预计同样艰难。

这笔交易不仅标志着吉达国民成功找到了马赫雷斯的替代者，更在足球界激起千层浪：正值当打之年的欧洲主流国脚，正将沙特联赛视为职业生涯的新蓝海。

9、2-0！2-1！世界杯半决赛首场对决出炉！法国迎战苦主，谁赢球或谁夺冠

莫德里奇和科瓦契奇组成的中场双核，擅长通过精准传递和节奏变化打乱对手的部署。

紧接着技术总监一职也有了眉目，俱乐部已经非常接近签下克勒舍。

10、比亚迪王朝可可托海扔出王炸，大汉成都车展将首秀

多模态视觉赛道，坡长雪厚 把目光从代码的红海上移开，你会看到另一片蓬勃生长的绿洲。

大规模引援的前提必然是阵容的精简与资金回笼。

1、同城对决？为了补强内线竞争力，篮网有意抢下尼克斯替补中锋？

客观来讲，塔雷本赛季主导的转会工作有功也有过。

2、从世界排名中消失的费德勒

费兰随西班牙队一路闯入半决赛，即将对阵法国。

3、2026世界杯奖金出炉：小组赛出局拿900万，冠军球员能分多少？

更关键的是模型单价只是第一层成本账。以时光造礼序，以匠心立顶豪｜源邸滨湖落客区焕新升级发布会璀璨盛启久保建英、镰田大地、堂安律组成的中前场传切配合娴熟、边路突击能力突出。

4、腾讯混元合并大语言模型和多模态团队，由姚顺雨统一管理

早在2014年阿根廷与斯洛文尼亚的一场友谊赛中，球员就曾展示过相同内容的横幅，最终阿根廷足协被处以罚款。

5、不是挪威队！4胜11平12负！巴西出局后，英格兰队或成最大赢家

如果推行全直营模式，意味着需要和经销商重新分配利益，比如要么支付巨额资金收购门店资产、支付库存和违约金等，承担巨大资本开支，要么推动现有经销商转为托管商，但也会大幅压缩后者利润空间。

6、勇士聘沃格尔担任首席助教！曾助湖人2020年夺冠 新赛季辅佐科尔

尽管在队内射手榜上暂以5球落后于哈里凯恩，但贝林厄姆在攻防两端的全面表现，让他再次跻身世界顶级中场行列。

二人留队基本锁定了新赛季中场的主力框架。

如今，这份名单上又添了一个更具分量的名字。

7、北京大学发文祝贺校友王虹、邓煜荣获菲尔兹奖

今年7月，苹果“Apple智能”完成网信办备案，联合阿里、百度分别承接长文本生成、本土化搜索服务，整套AI能力将首发搭载于iPhone 18 Pro。

AION S系列有一个广为人知的称号——“网约车之王”。

8、2-1逆转！葡萄牙绝杀克罗地亚，格瓦迪奥尔读秒进球被吹引起热议

转折点出现在疫情期间的那届美洲杯，阿根廷在马拉卡纳球场捧起冠军奖杯。

从姆巴佩、贝林厄姆到维尼修斯与居莱尔，皇马的四位得分手用精准高效的输出证明：在世界杯这个属于巨星的舞台上，真正的价值从不在于人多势众，而在于关键时刻谁能挺身而出。

积分榜形势 两轮战罢，B组格局逐渐清晰。

5月6日，朱双单归还500万元，同一天又拆借给公司900万元。