无论是英伟达GPU持续供不应求，还是云厂商不断扩建AI数据中心，行业普遍认为，只要拥有更多GPU，就意味着拥有更强的算力能力。

1、爱游戏手机 综合来看，本场比赛大概率是小比分格局，巴西小胜或两队平局是最有可能的结果，很难出现大比分悬殊局面。

开幕当日，13 场专业论坛同步举行，拉开全展期 40 余场专业论坛、40 余场主题路演与产业对接活动的序幕。爱游戏手机吴太兵认为，AI影视最重要的趋势之一是创作群体的扩大，以前专业导演才能制作的内容，往后可能每个人都可以创作。

2、借势2026世界杯，他要让更多美国孩子踢上球

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

3、7月15日开嗨！2026武汉渡江嘉年华游玩攻略来了，两大会场亮点全揭秘！

据NeedToKnow报道，航班取消后，航站楼里到处是和衣而眠的旅客，行李提取处也是一片混乱。

4、道奇主帅：大谷翔平牛棚投30球是“重要迹象”，复出仍无时间表

比如海外模型厂商的担忧、开发者的好评以及随之而来的算力不足问题，甚至杨植麟本人登上热搜，这也是他第一次在大众意义上的出圈。

5、UFC冠军因伤沦落送外卖：我能应付，这没什么

为了让渡控制权，李羿含还同步签下表决权放弃承诺，不可撤销地放弃剩余持股的提案权、表决权。

费兰·托雷斯有机会用第二次触球就成为英雄，但他无人盯防的头球，依然直直顶向阿根廷门将。

更重要的是，如果故障被认定为批量性制造缺陷，即便过了质保期，企业仍然可能要承担相应责任。

6、詹姆斯训练状态火热，字母哥示好四大原因促加盟热火

米兰对阵尤文的第34轮联赛中，红黑军团替补席上坐着1.5亿欧元成本的阵容，这反映出管理层在过去的两个转会窗口的引援工作推进不力。

内托正是切尔西愿意放人的候选之一，前提是收到一份合适的报价。

7、“英阿大战”裁判出炉！球迷：利好英格兰，这是要做掉阿根廷么？

这种模式对集群调度提出了更高要求。

结语 综合双方实力、状态、战术特点分析，东道主主场优势明显，但后防核心缺阵影响巨大，韩国核心球员状态火热，作为本组最具竞争力的两支球队，打平各取一分是最符合双方利益的结果。

8、21岁巴甲边锋交出17球9助攻，热刺正考虑今夏出手

时隔四年，温契奇再次在世界杯赛场上执法阿根廷队的比赛，而这次是争夺最高荣誉的决赛舞台，这为决赛增添了一层别样的叙事。

最近他们又在圣西罗观看了对阵亚特兰大的比赛，莱奥出场58分钟，表现如梦游。

MakerWorld 是下一次叙事机会 打印机完成的是第一次销售，MakerWorld要争取的，是第二次、第三次开机。

9、美国正向中东增派航母、战斗机等，未来几天可能恢复对伊朗的全面战争，中方：当事方应保持冷静克制，停止敌对行动

亚马尔把这句话变成了笑话。

阶跃星辰选择了从零重构操作系统；字节+努比亚选择了深度联姻；荣耀选择了“具身交互”的硬件创新；苹果在“补票”；OpenAI在布局自己的硬件。

10、中方代表团有力驳斥日方攻击抹黑：块头大并不必然就是威胁，块头小并不必然就不危险

同时，这也反映了公司财务内控的缺失，实控人持股比例过高、话语权较强导致与公司之间的资金往来过于随意，令人担忧。

相比之下，显存容量却仅增长几十倍。

1、梅德韦杰夫与阿利亚西姆退出华盛顿赛，刚经历教练团队大换血

不过巴萨仍未排除再次报价的可能。

2、全网热议！梅西世界杯最佳球员断层领先，金球奖却颁给罗德里

对手铁了心要把世界杯决赛拖进点球大战。

3、中超第7轮裁判选派：麦麦提江执哨辽宁德比，金哨李海新在列

这支球队的进攻体系堪称完美，姆巴佩、登贝莱与奥利塞组成的“三叉戟”令所有对手闻风丧胆。英超豪门疯抢溢价球星，世界杯这5大璞玉才是真金，仅需千万镑从VCD时代的数码照片刻录软件，到基于实拍素材的剪辑工具Wondershare Filmora，再到现在基于AI生成的创作平台“万兴剧厂”，在吴太兵看来，这并非跳到一个全新的领域，而是沿着影视创作市场的技术演进脉络的自然延伸。

4、转会窗：尤文引进穆阿尼受阻，凯利或回英超，鲁加尼何去何从

但不是所有人都难过。

5、CCTV5直播申花VS海牛！李嗣镕有望迎首秀！司机：困难很多，阵容也不够厚

他们压缩了中路的空间，不让他轻松与队友连线，迫使他远离那些通常用来掌控比赛的区域。

6、时隔16年，西班牙创历史加冕世界杯冠军！

这不仅标志着马竞连续第三届成为向世界杯决赛输送球员最多的俱乐部，更打破了尘封92年的历史纪录，书写了属于“床单军团”的传奇。

第三个名字是伊布近期私下向卡尔迪纳莱推荐的阿拉伊贝戈维奇，勒沃库森今夏刚以800万欧元从奥地利维也纳快速回购这名18岁的边锋。

这一局面让巴萨方面更加笃定，他们为阿尔瓦雷斯开出的报价，最终可能足够把人带走。

7、莱昂纳多去年在上港进球如麻！为何如今却陷入瓶颈期，原因找到了

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。

与他一同进入候选名单的，还有两位曾执教过国家队的本土名帅孔蒂与曼奇尼。

8、致癌阴影下的“中产货币”，Lululemon如何缝补信任裂痕？

费兰以6球成为赛事最佳射手，并被评为决赛最佳球员。

相较来看，多特蒙德则更为积极，他们已经向亨克报价3000万欧元，不过被对方体育总监德孔德回绝，比甲球队坚持3500万欧元固定转会费、总价约4000万欧元的要价，双方尚未达成协议。

单看数据，和他在曼联时期基本持平，但围绕他职业态度的讨论从未消散。

另一边，刚刚落幕的2026世界人工智能大会（WAIC）上，H2算力主题展区内人潮涌动，观众超40万人次，全球177个重要采购团组预计达成意向采购金额约203.6亿元。