马斯克说，数字 Optimus 与实体机器人使用同源 AI 逻辑：视觉像素输入、动作指令输出。

1、星空综合 在这场万众瞩目的强强对话中，西班牙队凭借亚马尔造点、奥亚萨瓦尔的点球和奥尔莫送直塞、波罗的单刀破门，以2-0力克夺冠大热门法国队。

七八名员工从早忙到晚，几乎没有闲下来的时候。星空综合「 LABUBU摇摇德比大赛马」的竞技模式需要12人一组，在等待的过程中，很难忍住不主动招揽路过的游客一起参与；「弹珠奇遇记」的游戏区和等候区都挂设了屏幕，大多数游客排队时都会抬头关注屏幕里正在实时直播弹珠竞跑比赛，气氛就像是在酒吧里一起看球赛；而无论是鲨鱼LABUBU，还是炸虾LABUBU，作为奖励的巨大毛绒玩偶既是一种褒奖，也是乐园里最好的气氛来源。

2、腾讯阿里字节三巨头暗战OpenClaw：桌面龙虾大战，抢占你的电脑？

中国芯片，一直被认为是卡脖子的领域。

3、CBA休赛期速递！山西男篮潘江确定下课，赵岩昊加盟山西，深圳续约核心外援，陈家政签约杜梅公司

"半决赛，同样的一幕再次上演。

4、2.5亿给前妻，A股最大方前夫“净身出户”，最害怕的却是股民？

图：礼来营收一览 但Ricks身上有一个最显著的优点：行动迅速。

5、Abdou-Salam Konate与帕尔马续约至2029年

这条难而正确的路，也正在成为行业共识。

但此后，因行业卷价格暴雷，企业账上现金只够发两个月工资。

中创新航的公告暴露了一个尴尬事实，一家全球排名第四的动力电池企业，面对终端用户时，连一条独立的服务通道都拿不出来。

6、央美老院长靳尚谊，在90岁高龄时画的人物油画

" 麦卡利斯特还谈到了作为卫冕冠军的意义。

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。

7、砸70亿！OPPO全球总部正在“穿衣”，比效果图更震撼！

卡塞米罗身上具备这家俱乐部所代表的一切：领导力、赢家心态，以及在最高水平赛场上积累的辉煌履历。

他必须把奖杯交给这个他公开唾弃了整整一年半的国家。

8、中国第一省会，让民营企业站C位！

仅仅两年后，格瓦迪奥尔就以 9000 万欧元的天价转会曼城，成为世界足坛身价最高的中后卫。

01 九次赚钱可能输给九次亏钱 几天后，周远把自己的困惑讲给一位做量化交易的朋友，朋友在纸上给周远写了两种游戏。

马斯克在电话会上说，很多客户进店的核心诉求就是FSD，车辆只是配套载体——「他们明确表示只要 FSD，配套什么车型都可以」。

9、高善文淋巴癌去世：命运没有高抬贵手。

进攻端完全依靠反击，断球后直接长传找前场高点，利用伊兰昆达的速度冲击对手身后，定位球也是重要得分手段，身高1米98的苏塔头球威胁极大。

斯洛特到了那个阶段已经完全暴露了问题——他的战术古怪，对球队沮丧，因为他发现阿诺德的离开彻底掏空了他第一个赛季继承的那支优秀球队，而第二个夏天花了几亿英镑却没能补上这个窟窿。

10、凌晨5点 世界杯19亿大战！超级中锋对决 头号黑马冲击4强

随着中国足球大环境变迁，金元足球时代落幕，马云淡出了恒大淘宝，张近东的苏宁足球也成了历史，万达与国际足联顶级全球合作伙伴的合作关系也发生了变化。

产品发售第三年，拓竹已经证明，一台需要极客反复调试的机器，可以被重新做成消费品。

1、仅2年就被甩卖！近0成本捡到状元！

被裁员，可能被解释为“职业倦怠”；遇到难相处的领导，对方可能立刻被诊断成“NPD”；没有行动力，是“低能量”；不敢争取，是“低配得感”；关系出现争吵，则可能是对方缺乏情绪价值、突破了自己的边界。

2、官宣！22年长跑老将，卸任3只基金

盘后谷歌持续下跌，最大跌幅超过4%。

3、2007年以来未见！美债市场正在拉响警报

不过中场相对薄弱，科内和拉比奥的组合攻守均衡但创造力不足，进攻组织更多依赖前场的奥利塞回撤。战报博睿康选择的科创板第五套上市标准允许尚未盈利、但拥有核心技术与较大市场空间的企业上市，要求预计市值不低于40亿元，主要业务或产品需经国家有关部门批准并取得阶段性成果。

4、朱芳雨离任内幕！本赛季巨额投入战绩不佳，广东宏远管理层大洗牌

最具代表性的是雷特吉。

5、专访鲜途汽车总经理张威：一家冷链运营平台与一台车的“价值共振”

"半决赛，同样的一幕再次上演。

6、刘恺威为钟洁怡庆生！三人同框状态年轻，被曝长留香港陪伴女儿成长

FSD、Dojo超算、Optimus机器人三台巨型焚化炉同时开火，而且这次没有退出键。

目前市场对7月加息概率的定价约34%至38%，对9月加息的定价高达82%。

7月20日至21日，中国证监会召开上市公司、行业机构、专家学者系列座谈会，围绕促进资本市场稳定健康发展听取意见建议，精准梳理当前市场运行痛点。

7、蛋白质AI开始「黑箱化」：下一代生物模型该如何被真正理解与控制

并且店内还配备有淋浴设备等服务跑者的基础设施。

在罗德里和法比安·鲁伊斯的绞杀下，法国进攻四叉戟（姆巴佩、登贝莱、奥利塞、巴尔科拉）几乎人人隐身，法国队的进攻生命线被无情切断。

8、536分捡漏上北大考生现状堪忧：硕士毕业后很迷茫，不知何去何从

第一重压力是生产力场景未必壁垒更高。

而AI行业自身，历经无数个技术风口与舆论喧嚣后，正在告别虚无的“算力军备竞赛”，大模型的商业价值，也在垂直场景中真正兑现。

据知名记者莫雷托爆料，二人之间发生了一些相当激烈的争论，当然出发点都是为了米兰的利益着想。

特罗萨德上赛季在阿森纳出战50场贡献8球11助攻，并在世界杯上帮助比利时队闯入八强，其出色的无球跑动、门前嗅觉以及精湛射术正是贝西克塔斯所急需的。