AIDC储能需求的核心驱动力，是AI算力与电力之间正在发生的“结构性断裂”。

1、天博官方 25-26赛季，阿莱格里的米兰主打稳守反击与三中卫深度落位，加比亚作为米兰自家青训，凭借经验与领导力成为防线中枢，托莫里、帕夫洛维奇与之构成三中卫主体；巴尔泰萨吉从预备队被直接提拔为左路翼卫首发，萨勒马科尔斯则在右路展现出攻守均衡的能力。

摆在面前的，是又一个全新的赛季。天博官方这种人在同行之间极度稀缺，只能硬挖，挖不来就偷、抢。

2、自研氢能催化剂关键材料，稳定性提升50%，「铂氢科技」完成数千万元Pre-A轮融资

” 换句话说，养宠物的麻烦，恰恰是情感升温的关键。

3、中超第20轮明天7月25日赛程：海牛PK津门虎，上海德比申花PK海港

近年来，中国制造业加速产业升级，从“野蛮生长”到“规范发展”。

4、善恶终有报！封号五个月后，曲婉婷再传噩耗，身患癌症无人陪伴

两人在俱乐部的一次复古球衣拍摄中相识。

5、宁夏老板羞辱游客全网社死！警方出手，当地人抵制，生意彻底黄了

无论是法国与西班牙的战术博弈，还是英格兰与阿根廷的宿命对决，都已经将本届世界杯的悬念与观赏性推向了最高潮。

此外，另一家土超球队贝西克塔斯也对福法纳兴趣浓厚，米兰对其估价约2000万欧元。

过去几个月，这位26岁的法国中卫一直是蓝军的重点目标，切尔西希望为防线增添一名在英超站稳脚跟的中卫。

6、齐聚东平！7月25日东平湖篮球嘉年华上演山东高速VS南京同曦巅峰对决

克罗地亚的核心依然是40岁的莫德里奇。

此前的纪录是三个，分别出现在1990年意大利世界杯（意大利、德国、阿根廷）和2006年德国世界杯（意大利、德国、法国）。

7、玖知春晓实景展示区盛绽，“春晓美学”重塑主城人居范本_网易订阅

Talk三联一期相关节目，播放量超过14万，讨论的正是“做自己”为什么也成了一种压力。

这场围绕奥利塞的未来博弈，将在世界杯落幕后正式进入关键阶段。

8、岛与汐的步调_网易订阅

据意大利媒体MilanNews报道，无论谁成为主教练，这位法国人都将在今夏告别米兰。

当球队处于劣势时，克罗地亚会收缩防线，利用斯塔尼西奇和佩里希奇等边路球员的速度打反击。

截至7月23日，Momenta的市值为648亿港元，仅落后地平线机器人18亿港元。

9、尽管交易陷入僵局，科怀·伦纳德仍现身猛龙队NBA夏季联赛现场

从纸面实力来看，葡萄牙无疑是更被看好的一方。

对面的法国队号称进攻武器库无穷无尽，结果全被摁住了，首当其冲的就是姆巴佩。

10、“浙BA”7月22日10场激战结果出炉！23日晚精彩继续~

一个值得注意的细节是，国资背景基金和产业资本存在感很强。

综合来讲，南美技术流打法在一定程度上克制非洲的身体流打法。

1、OpenAI模型不受控“出逃”，自主入侵企业服务器

为什么不提？因为一旦启动召回，根据《缺陷汽车产品召回管理条例》，就意味着整车厂和供应商在法律层面正式承认产品存在系统性安全缺陷。

2、【光明论坛】以高素质教师队伍支撑基础教育扩优提质

卫冕冠军在比赛末段苏醒。

3、正式官宣！杨瀚森确定出战，男篮世预赛阵容出炉 郭士强力争两连胜

“HWG！”当知名记者罗马诺用标志性的口号确认这一消息时，整个足坛为之沸腾。接连有中国公民在法意外身亡，中国驻里昂总领馆提醒龙头企业在大规模投入前理性止损，是产业从“青春期”走向“成年期”的典型信号。

4、马宁有望再度主哨世界杯！获FIFA充分肯定，淘汰赛大概率亮相

"鲍尔斯对《泰晤士报》说，"但当你的人生伴侣正在踢他职业生涯最重要的一场比赛，你自然也希望他表现出色。

5、辽宁男篮放弃莫兰德，4外援全换 山东紧追王岚嵚 交易4+2后卫腾位置

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。

6、世界杯G组关键战：比利时对埃及，极致的攻与防，谁能笑到最后？

CARIAD是德国大众汽车集团旗下的软件公司。

但它的“成年”，才刚刚开始。

米兰出售这两人的直接目的是腾出薪资空间，用于引进技术特点更匹配、功能性更强的中场球员。

7、汇宇制药创新药全国总代理被“截胡”

根据《米兰体育报》的报道，尤文正在筹划防线重建，方案之一是出售加蒂筹措资金，然后用这笔资本收益签下托莫里作为替代者。

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。

8、港媒曝CoCo猛料：曾冻卵想为谢贤生娃，欠巨债后，四哥卖大劳帮她

数据显示，自5月6日创下阶段高位以来，天齐锂业股价累计下跌超40%，两个多月时间里，公司市值蒸发超610亿元。

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。

米兰当前对莱奥的要价维持在5000万至6000万欧元之间，按照跟队记者维蒂耶洛的说法，目前费内巴切和加拉塔萨雷都在与莱奥的团队进行口头接触，但米兰管理层尚未收到任何一方的正式书面报价。

维拉刚刚以超过1.3亿欧元的价格将罗杰斯出售给切尔西，手握充足转会资金的同时急需在左边路寻找替代者。