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。

1、亚搏手机 2026年美加墨世界杯四分之一决赛在即，比利时队主帅鲁迪·加西亚将首发阵容的秘密保留到了洛杉矶之战开赛前最后一刻。

莱奥本人倾向于登陆英超，但其世界杯表现未达预期，导致主流联赛豪门的观望情绪浓厚。亚搏手机这样的架构已经很成熟了，各种介质共存，各司其职，没有非此即彼的选择。

2、贴脸开大！比利时4比1大胜美国 赛后嘲讽：这叫football不叫soccer

这是品牌继香港维港、上海陆家嘴滨江之后，再次将这一融合运动与商务社交的独特体验带到深圳。

3、图赫尔谈科比·梅努缺阵：最后一次训练课，他感觉背部一阵剧痛

主帅弗里克率教练组迎接首批归队球员，在完成例行体检后，球队将于24小时后踏上训练场，开启新赛季的准备工作。

4、西班牙加时1比0力克十人阿根廷 队史第二次捧起世界杯

加上1930年首届世界杯与1950年巴西世界杯的两次折桂，乌拉圭队名正言顺地拥有了四颗代表世界之巅的星辰。

5、京沪杭蓉港，今年哪座体育城市最出圈？

有迹象表明，阿尔瓦雷斯对阿森纳在阿尔特塔治下打造出的面貌颇为欣赏。

毕竟，在动辄数百亿的资金盘子里，没有人愿意等到下一个冬天。

” “将存储变为‘算力的放大器’，这不仅是技术选择，更是AI基础设施走向普惠的必然路径，算力平权的‘iPhone时刻’也终会到来。

6、美职联前瞻：洛杉矶迎战皇家盐湖城 西部三四名仅差一分

2026财年，东方甄选总营收预计达56-58亿元，相较2025财年同比增长约27.3%至31.8%。

赛前，亚马尔的一番表态显得颇为大胆，但在巴塞罗那俱乐部并肩作战的孔德看来，这并非不尊重对手。

7、印度队长伊耶：“我们在英格兰经历了一段艰难时期，但有很多积极因素”

“短期来看，市场虽存在8月‘抢装潮’以规避税负的预期，但该逻辑此前已在传言中部分消化，实际拉动效应尚待观察。

7月7日，信用中国官网公示，宜春时代新能源矿业有限公司已获得非煤矿矿山企业安全生产企业变更许可。

8、豪掷1亿美元，签下3名球员，薪资已超奢侈税，火箭队就赌下赛季了

凭借替尔泊肽的热销，礼来成为全球首家市值破万亿美元的药企，成为无数医药人心目中的“成功范本”。

月之暗面不是孤例。

华为实习工资上热搜，可真正该慌的，不是没拿到那张 offer 的人。

9、又来抢戏？特朗普将出席世界杯决赛并颁奖，世俱杯时曾站C位不肯走

他们的进攻火力强劲，小组赛打入8球，乔纳森·戴维状态火热，对阵卡塔尔上演帽子戏法。

根据规定，俱乐部在同一个欧战赛季的联赛阶段必须在同一座球场进行所有主场比赛。

10、心碎瞬间！梅西世界杯决赛失利落泪，阿根廷足协：你的泪也是我们的泪

具体来看，得州超级工厂已开始生产Cybercab，披露的安装年产能超过12.5万辆；弗里蒙特工厂关停了Model S/X旧产线，全线更换为Optimus组装设备，得州也在建设机器人专用厂房；得州Cortex 1和Cortex 2算力基地披露的安装算力分别超过90MW和115MW；奥斯汀晶圆厂也已推进建设和设备采购，目标是获得逻辑与存储芯片的长期供给能力。

球队场均控球率超过65%，传球成功率超过90%，通过不断的传球和跑位拉扯对方防线，寻找空当。

1、费迪南德：就算梅西再次捧起世界杯，C罗依旧是他心中历史第一人

首先在前端编程方面，达到真正的历史性登顶。

2、魔笛亲承：无缘欧冠反助我留队 米兰渴望绝地反弹

从数据来看，米兰前28轮场均被射门11次，后8轮场均11.62次，几乎没有变化。

3、赖清德疯狂挑衅，再称“台湾为国家”，大陆最新4个字定性_网易订阅

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。从徒步巡山到智能感知 哈纳斯国家级自然保护区立体管护筑牢生态屏障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。

4、1966年科尔维特出厂竟未喷漆 全球仅11辆的重涂传奇

拉比奥特的母亲兼经纪人与米兰之间存在一项君子协定，只要那不勒斯的出价高于米兰当初的购买成本，红黑军团就必须放行。

5、中大医院四牌楼门诊部7月27日启用，惠民义诊周同步举行

相对于天齐锂业等动辄巨亏或暴增几十倍的盈利，已算平和。

6、科罗拉多州立大学发布讣告：前橄榄球主帅富勒去世，享年87岁

中卫库巴西则获得最佳年轻球员奖项。

装车率的持续走低，是产业从青春期走向成熟期最清晰的数据信号。

如今，我们必须昂首面对这一切。

7、不是周琦！不是杨瀚森！男篮“最强内线”易主，29岁成易建联接班人

2026年世界杯半决赛的终场哨声在达拉斯体育场响起，比分定格在0:2。

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。

8、思考人生？这世界杯射门太离谱：近在咫尺的空门，瑞士球员竟打偏

战术风格上，两队形成了鲜明的对比。

两人都将在八月下旬归队，缺席赛季前的大部分热身。

之后格拉斯纳出人意料地离开了刚刚获得欧冠资格的狼堡，2021年转投法兰克福。

随着巴黎圣日耳曼的贡萨洛·拉莫斯、拉齐奥的吉拉先后敲定，AC米兰今夏累计投入已突破1亿欧元，而按照老板卡尔迪纳莱给出的2.5亿欧元总预算（含球员出售回血，并非纯现金投入），这笔钱还远没到花完的时候。