而港股IPO，则是把这些筹码一次性兑现的出口。

1、高比体育 作为整个季前备战周期的收官战，这场比赛的定位显然是模拟考级别。

不过，对于他的未来，拉波尔塔直言，俱乐部并无放人计划，哪怕拉菲尼亚在首发位置的竞争中遇到了压力。高比体育DriveDreamer的价值，是生成和模拟这些现实中昂贵、危险或者极少出现的驾驶场景，帮助车企训练、测试自动驾驶系统。

2、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

同时，特斯拉芯片路线图更新：AI5 明年年中量产优先配套 Optimus；AI6 正在研发，马斯克称将成为全球最好的边缘计算芯片。

3、上港为何领先两球都被玉昆最终追平！背后原因找到了，引发热议

而开源模型的扩散效应会直接利好两方面： 一方面，最直接的就是增强自己在企业、开发者和普通用户间的存在感，加速基础模型的商品化。

4、60年的宿命回响，世界杯上最具话题的恩仇录即将上演

但赛季开始后不久的腓骨复合骨折打乱了一切，这推迟了亚沙里的融入进度。

5、职业球员年假怎么休？专家揭秘合同铁律：每年五周 俱乐部有权拒赛季中申请

研究人员只需要提交一段DNA序列，服务商就能通过化学合成的方式把这段基因“打印”出来，邮寄到用户手中。

在梁文锋4小时的闭门会里他提到了对竞争的态度，他说：“我也不担⼼别⼈部署我们的模型，然后跟我们来竞争，⼀点都不担⼼。

这位金发女孩签约伯恩茅斯女足时，俱乐部的官宣视频在各大平台累积了数千万次播放，一夜之间将她推上了网络焦点。

6、蓝鸟火线调整阵容：施奈德携3A恐怖数据回归，左投科尔宾进入伤病名单

钱还没正式花出去，他先见识了这行的另一面。

“弗里克会做出最佳决定，现在最重要的是周六的决赛。

7、The Athletic：亚特兰大联已开启努涅斯转会谈判，目前仍处初步阶段

*题图及文中配图来源于网络。

米兰对卡雷察斯的追逐已持续多日，但从未给出实质性报价。

8、前F1车手库特哈德：梅赛德斯困境中，沃尔夫这一点最令人敬佩

2024年欧洲杯期间，马云就曾到场观看。

萨利巴、于帕梅卡诺等后卫组成的防线经验丰富，楚阿梅尼、卡马文加等中场球员负责拦截与调度，使得前场四人能够全身心投入进攻，无需过多回撤防守。

考虑到德容上赛季已经因伤病问题缺席了不少比赛，俱乐部对此感到愤怒并非不可理解。

9、0红6黄，马宁不愧是卡牌大师！两点证明国际足联选对人了

七项第一，三项第二。

埃及则主要依靠明星球员的快速反击。

10、Kaulig高管放话：我们要做道奇的旗帜车队，和亨德里克、吉布斯、潘世奇平起平坐

这粒进球不仅让阿根廷队早早确立优势，更让39岁的梅西迎来了个人职业生涯的又一伟大里程碑。

大三上是第二次窗口，秋招提前批和日常实习并行，大二下没拿到的，这是补救机会，同时开始把实习成果量化、准备校招简历。

1、16分钟开幕独白只答4个问题 新帅首秀用拖延战术躲过尖锐质问

先行者不仅抢占了资本市场的定价锚点，更通过上市融资获得了扩大竞争优势的弹药。

2、英国女子被假寡妇蜘蛛咬伤后得败血症，不要相信牙膏、醋等偏方

靠着这套逻辑，这家机构已经投出了足球游戏公司Sorare、智能健康戒指Oura等多家独角兽项目，格列兹曼与英格兰球员埃里克·戴尔等约40位运动员一同成为这家机构的出资人。

3、机械增压V8配6速手动，这台15.7万英里的RS4正在加州找下家

目前，由哈维尔·特巴斯领导的西甲联盟尚未对该提案作出正式回应。西班牙1比0力克阿根廷再夺世界杯 全国球迷街头狂欢彻夜不眠利物浦的伊萨克与阿森纳的约克雷斯组成的双子星，身价合计超过1.5亿欧元，个人能力在整个F组都属顶级。

4、不是奥利塞！美加墨世界杯最强中场球员出炉 曼城恐成最大“输家”

前埃弗顿首席执行官怀恩斯透露，托莫里本人对重返英超持开放态度，并且更倾向于加盟纽卡斯尔而非考文垂，他认为自己的定位应该高于一支升班马球队。

5、45次三振/33.1局，每9局12.1K！卡瓦利征服库尔斯创国民队史

自动驾驶是最扎实的基本盘。

6、B费新赛季主场球衣杯赛字少量到货哦~

但风险并没有消失，只是转移给了设备的所有者。

面对阿根廷队的善举，中国球迷的反应也展现了极高的素养与温情。

决赛前瞻：技术流与铁血防守的碰撞 北京时间7月20日凌晨3点，西班牙与阿根廷的巅峰对决将在纽约打响。

7、《纤维博物馆（中英双语）》，看懂生活里的纺织科技

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。

”鲁尼说道。

8、26-27赛季曼联主场球衣，可印字号章

西班牙在半决赛中给法国队好好上了一课。

这是中国数学家首次获得菲尔兹奖，也是中国数学家首次在同一届国际数学家大会上同时获得两枚菲尔兹奖，实现了中国数学发展的历史性突破。

2022年末和2023年末，公司货币资金余额分别只有1055.73万元和4453.02万元。

这一次，他们要的不只是流量，而是真正的竞争力。