这种费用具备可怕的刚性：即便下季度交付量下滑，你也不可能裁掉核心AI团队或关停超算集群，因为一旦停下，前期的巨额投入立刻沉没。

1、乐鱼电竞 上周，英格兰被阿根廷挡在世界杯决赛门外，三狮球迷心碎一地。

这个进球，无关比分，却赢得了人心。乐鱼电竞实际上，这些大佬不只是球迷身份那么简单，背后都有实实在在的商业绑定。

2、Jon Rahm：“让慢打规则更严格”，高尔夫最大问题不能再拖了

最后，希望大家未来的投资生涯，既能保持对右尾机会的想象力，也始终保持对左尾风险的敬畏心。

3、含金量还在上升！西班牙本届7战6胜 仅闷平佛得角

但这种方向可能是阶段性的，仍然面临多重压力的。

4、对话户外品牌：在媒介粉尘化时代，卖“场景”真比卖单品更香吗？

2026世界杯半决赛对阵：上半场的法国vs西班牙；下半场的英格兰vs阿根廷。

5、地下 700 米造天眼！十年磨一剑，中国中微子实验破纪录

它用近三十年时间成长为细分领域的制造龙头，却依然困于传统制造业的营收天花板。

北京时间7月3日上午11点，美加墨世界杯B组头名瑞士将迎战J组第三阿尔及利亚。

包括赖因德斯（阿尔克马尔，2480万）、穆萨（瓦伦西亚，2120万）、丘库埃泽（比利亚雷亚尔，2110万）、普利西奇（切尔西，2080万）、洛夫图斯-奇克（切尔西，1890万）。

6、君山夏日精品旅游线路发布！荷花香、葡萄甜、水上乐园......等你来

因此，这场请愿本质上更像是一场由失意球迷、对立阵营粉丝共同推动的情绪宣泄与网络狂欢。

不管你是普通一本、二本，还是已经大三"醒晚了"，下面这些路都走得通——它们未必让你月薪过万，但能让你别再"刚知道"。

7、龙舟出海，划出中欧文化交流新航道

据talkSPORT报道，为了压价，阿尔特塔可能会把哲凯赖什加入交易，作为冲抵部分转会费的人头筹码。

此后任何俱乐部想签下这位英格兰前锋，都必须与曼联直接谈判。

8、马尔蒂尼亲口证实：意大利先找安切洛蒂，再谈瓜迪奥拉

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。

市场也在关注，光计算何时能够规模化商用，市场前景如何，怎样与当前主流的GPU等芯片竞争。

他们分别穿上了西班牙队和阿根廷队的球衣，面带笑容地搞起了"对决"。

9、凯德投资31.5亿元产品落地，机构间REITs规模突破千亿大关

”法国已经在欧洲杯、欧国联、世界杯三大杯赛的半决赛中被西班牙三连杀，德尚的个人能力流始终抵不过技术流。

正如赛后球迷热议的那样，西班牙这种极致的技术流，仿佛天生克制法国队这批依靠身体和爆发力的“黑糙哥们”。

10、澡盆德比来了！亚马尔：梅西带我爱上足球，他是所有年轻球员的追梦榜样

"世界模型第一股"的赌注 极佳视界至今没有公开收入、毛利率、亏损、订单金额等。

胡梅尔斯还把矛头对准了德国青训体系。

1、飞镖对抗赛四强战预测：利特勒16-10横扫，安德森16-12险胜

不过，在内外部综合因素的影响下，CARIAD成立以后便持续亏损，且软件开发进度也不尽如人意。

2、德比郡官宣免签帕德博恩冲超功臣比尔比亚，签约三年

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。

3、算力驱动量化新变革：九方智投“股道领航·九方智算”依托超算赋能大众投研升级

但如今，新的秩序之下，风险投资回归到了风险共担、容错机制与真股权投资。韩国赠还中国清代石狮对于阿根廷而言，更换球衣是否会影响球队运势尚不可知，但在如此关键的淘汰赛阶段主动求变，难免引发外界猜测。

4、热刺35人名单揭晓：库卢14个月未出场，接近复出的他也落选

该公司深度绑定全球头部AI芯片厂商，高端GPU、CPU封装订单全年满载，同时HBM存储封装、车规芯片封装业务持续放量，高端业务占比不断提升，营收、净利润均稳步走高。

5、1965年，陈毅宴请李宗仁，让张爱萍作陪，李问：你是台儿庄哪位？_网易订阅

集邦咨询预测届时全球一半DRAM产能将被HBM和长约锁定，供给缺口可能收窄。

6、喜讯！李国旭在本轮足协杯郑重承诺！直言将在河南客场踢好比赛

近两年，视频生成和图像生成早已不是实验室里的“玩具”，而是展现出高确定性和高成长性的商业赛道。

在阿莫林的3-4-2-1体系中，右路内锋位置需要一名左脚球员，具备内切射门和送出最后一传的能力，福登的技术特点恰好完美适配这一角色。

原本争四高枕无忧，现下却被众多对手纷纷赶上。

7、还换吗？马德鲁加梅开二度助泰山队取3连胜，网传其夏窗将被换掉

随着米兰老板卡尔迪纳莱对管理层权限的重新划分，新任首席执行官卡尔韦利获得了单笔5000万欧元以内的独立决策权，超过该额度则需上报主席斯卡罗尼或卡尔迪纳莱本人。

两种情况你都能想象得到。

8、NASCAR争冠车手维修区超速被罚 布拉尼代价沉重

” 尽管球迷一直期待亚马尔能复制他在俱乐部的得分效率，但比赛数据为巴埃纳的分析提供了有力支撑。

其中丘库埃泽的定位最值得关注，他上赛季外租富勒姆贡献3射4传，回到米兰后本来被认为是清洗对象，但阿莫林明确提到需要能一对一爆破的球员，丘库埃泽的爆点属性不仅能在边路提供变化，甚至可以试着客串右翼卫，给目前只有萨勒马克尔斯和阿泰卡梅的右路位置多一个选项。

自研芯片和新一代大模型可能成为扭转谷歌“掉队”的关键因素。

他们是不同的球员，来自不同时代的球队，背负着不同的故事。