结语： 中国是全球短剧最主要的供给方，AI短剧的全球化本质上仍是中国供给能力的延伸，这也是万兴科技“中国市场练兵，全球市场挣钱”这套逻辑的前提。

1、亚搏手机 针对此，沈亦晨称曦智科技同时布局了两条技术路线，但对它们的演进路线有不同判断。

特斯拉Q2净利润11.72亿，同比-16%。亚搏手机一种模式正在形成。

2、在梭鱼湾，让我们潮汐同频

目前英格兰与加纳同积4分，克罗地亚3分紧随其后。

3、前蓝鸟全明星投手马诺阿在小联盟连续爆炸：4场丢28分，重返大联盟希望渺茫

这将成为红黑军团未来很长一段时间大崩盘的起点，莫德里奇续约成疑，格雷茨卡难以免签，帕夫洛维奇等主力被套现的风险大大增加，管理层也将面临巨震。

4、儿子一句挑战，大学橄榄球"发帖狂魔"基芬卸载所有社媒App

当前，那不勒斯已经将他们的中场球员安古伊萨挂牌出售，如果能为其寻找到买家，就会再补进一名中场。

5、伊布：别再低估阿根廷！梅西回应历史召唤，距离封神只差两场！

而这正是最让人担忧的地方。

长鑫科技7月27日上市，发行价为8.66元/股 7月23日，长鑫科技公告称，公司发行的人民币普通股股票将于2026年7月27日在上海证券交易所科创板上市。

这笔交易的完整逻辑是一条连续的传导链： 伯里与其说是预测未来，不如说是在寻找一个终将被现金流验证的结算过程。

6、ESPN给湖人休赛期操作打C+：詹姆斯离开后，阵容评级扎心了

真正的考验从交付才开始：能不能找到足够多、结构足够合理的任务，把利用率维持在可持续的水平上。

其中托莫里、洛夫图斯-奇克、莱奥等预计可回收约1.2亿-1.3亿欧元，再加上此前出售球员（如希门尼斯、波贝加等）的分期收入及附加条款，以及意甲电视权利诉讼案中米兰应得的约2000万欧元分成，预计红鸟财团今夏的净投入在1亿欧元左右。

7、让宋锦从“濒临失传”到“国礼名片”！非遗传承人吴建华的守艺与创艺

一边是41岁C罗领衔的五盾军团，一边是18岁亚马尔率领的青春斗牛士，两代球星的正面对决让这场比赛充满看点。

SK电信将持有SK Hyper 100%的股权，并在已批准的投资额度内，根据需要在2030年前分阶段进行资本投入。

8、3场T20I对决，印度急欲止损：Vaibhav Suryavanshi携破纪录之勇抢位

2025 年，2500 美元以下的入门级 3D 打印机出货量增长 26%；与此同时，2500 至 2 万美元的专业级产品全年下降 15%，2 万至 10 万美元的中端系统全年下降 12%。

伤病情况是加拿大目前最大的变数，中场核心科内在第二轮遭遇严重犯规，确诊腓骨与胫骨双重骨折，已接受手术，提前告别世界杯，这对球队中场防守硬度和组织能力都是巨大打击。

最值得关注的是米兰这次管理层组建的整体思路——俱乐部正在借鉴NBA的建队模式，打造一套更加现代化、专业化的管理架构。

9、中超成渝德比，以和为贵

尽管同胞主帅的到来给留队增加了变数，但从目前形势看，莱奥夏窗离队依然是更大概率的结果。

乐园让粉丝和IP建立起更深的情感连接，也为他们带来新的粉丝。

10、阿根廷心态太稳了，图赫尔太苟了！这锅背定了，和纳格尔斯曼堪称卧龙凤雏

如果诺坎普的大门最终没有打开，莱比锡将是他的另一个选择。

这名巴萨边锋与凯恩搭档锋线，他的进球一度看起来将成为英格兰世界杯历史上的经典瞬间之一。

1、美职联前瞻：洛杉矶迎战皇家盐湖城 西部三四名仅差一分

现年26岁的他正处于职业球员的黄金期，上赛季在葡萄牙体育交出了54场比赛13球18助的亮眼数据，目前德转身价高达4000万欧元。

2、张晓彬缺阵！目标3分，武汉三镇没有退路可言！

这份财报发布前，市场最为关注的并非利润，而是谷歌的资本开支究竟会继续扩张还是开始收缩，在美股“七姐妹”中，谷歌2026年的资本开支计划最为激进，它直接体现了科技巨头还愿意为AI花多少钱。

3、死亡之组！男足亚运会对手解析，出线难度急剧上升

然而事与愿违，截至周四，两家俱乐部之间的对话仍未取得任何突破。魔笛亲承：无缘欧冠反助我留队 米兰渴望绝地反弹旧一点的词在追溯病因，新一点的词在争夺人生的解释权。

4、“能”行！夏季达沃斯嘉宾热议

一个身价4000万欧元的球员，巴萨花了不到六成的价格就带走了。

5、罗马诺：切尔西接近签下水晶宫中卫拉克鲁瓦，球员已同意个人条款

但此后，公司股价一路下行，最新股价较高点已跌去六成。

6、世界杯成香饽饽，奥运会却成烫手山芋！原因有2点，08年北京奥运已给出答案

算力供给端呢？英伟达最新的高端卡今年很难大批进入国内市场，存量供给几乎没怎么增长。

真正的差距，从来不是那张工资条，而是你比别人晚知道了多少年。

查洛巴是在利夫拉门托受伤后紧急补招入队的，出场顺位本就靠后；托尼作为替补前锋，除非哈里凯恩出现伤病，否则很难撼动其主力位置；而中场小将梅努则面临更为激烈的竞争，罗杰斯、赖斯、贝林厄姆以及埃利奥特·安德森等人牢牢占据着中场轮换名额，他几乎找不到上位空间。

7、0-0，两连平！世界杯又1冷门：10人比利时战平伊朗，末轮恐遭淘汰

目前托莫里合同仅剩一年，今夏是俱乐部避免其自由离队的最后套现机会。

不过埃及的战术也存在明显短板。

8、英博两将完成百场里程碑！马里奥盯防王钰栋，斯坦丘PK米神，德尔加多别当吉祥物

如果英格兰人离队，米兰将全力追逐葡萄牙体育的伊纳西奥。

在2026 世界人工智能大会(WAIC 2026)期间，钛媒体对话了希捷科技中国区市场与业务战略负责人俞康，从存储厂商的视角，讲述了AI规模化落地过程中被低估的部分，数据的流动、闭环与复用能力，以及硬盘这门传统技术如何在AI时代找到新的增长曲线。

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。

球员本人渴望离队，热刺也愿意放行这位俱乐部队长，但预计会索要一笔数额不菲的转会费。