德明利股价自7月15日至20日连续4个交易日跌停，7月22日再度跌停。

1、kk体育 半年内估值从43亿美元到500亿美元的十倍跃迁背后，是一场由技术突破、商业化爆发与港股窗口三方合力的资本化闪电战。

而全年的Capex指引，更是被提高到了超过250亿美元，并将在未来两三年继续增长。kk体育账户能接受连续失败多少次，再检查那些看似不同的仓位是否都押注了同一个周期、同一轮流动性或者同一种监管结果。

2、Goyard开始全面发力了

不过，多位国资母基金及地方平台负责人公开或私下表示，暂停立项与会商并非针对某一家GP，而是相应全流程合规风控的要求。

3、森保一信心十足！球迷：压力给到了巴西队

所以一定要让数据流转起来，跨越端、边、云，跨越训练和推理的不同阶段，这样数据才能发挥价值。

4、解码荣昌生物扭亏为盈：一家“纯血”创新药企的高度“确定性”

预测法国2-1拿下挪威。

5、17投2中，命中率11.8%！年薪破亿的后场组合？历史上未有成功先例

假设十次尝试中，有七次归零，两次获得两倍回报，一次获得二十倍回报。

巴拉圭的吉尔和日本的铃木彩艳，都是表现格外抢眼的门将。

这50天的“刹车”，像是一场分化。

6、张之臻错赛点遭逆转温尼伯意外翻车，商竣程复出连战四站诚意拉满

2026年美加墨世界杯赛场上，19岁的巴塞罗那中卫保罗·库巴西成为西班牙队最亮眼的发现之一。

韩国队FIFA排名第25位，全队身价约1.5亿欧元，同样8名旅欧球员构成中轴线。

7、800万买没踢过一队的18岁边锋，曼联这笔账怎么算的？

用户每一次与AI的交互，背后都在消耗 Token，智能体的出现进一步放大了这一过程。

皇马球星布拉欣·迪亚斯在前场的创造力同样亮眼，多次送出关键助攻。

8、对话小米辅助驾驶团队：两年三阶，一场以体验为终点的技术马拉松

实际上并非如此。

一边是39岁依然扛着卫冕使命前行的梅西，他正以世界杯历史射手王与助攻王的双重身份，奔赴职业生涯第一次、也是唯一一次对阵英格兰的宿命对决；另一边，则是渴望率队时隔60年重返世界之巅的英格兰“青春风暴”，贝林厄姆领衔的三狮军团誓要撕碎宿命。

对拓竹而言，平台活跃是好信号；对投资者而言，更关键的是设备购买30天、90天和一年后是否仍在工作，以及MakerWorld是否提高了耗材消费、配件购买和设备复购。

9、阿根廷总统:阿根廷战斗到最后一刻 即使遇到争议判罚也始终保持冷静

1/16决赛中，摩洛哥遭遇荷兰，这场强强对话打得异常激烈。

法国与西班牙成功会师半决赛，而上半区这场“矛与盾”的巅峰对决，也提前预定了本届杯赛最重磅的焦点战。

10、杨瀚森今夏行程曝光：8月底定回国迎战黎巴嫩，再折返美国备战NBA

法国队输在了中场被锁、战术被克、防线失误以及锋线哑火，更输在了失去了格列兹曼、博格巴、坎特这些能在关键时刻稳住阵脚的“阵眼”。

截图来源于界面新闻公众号 同时，除部分授权合作伙伴外，目前由合作伙伴运营并销售耐克产品的线上店铺，将逐步停止销售耐克产品。

1、维拉官方：加纳乔将身披17号球衣；这是他在曼联穿过的号码

7月22日，国内头部经销商滔搏、宝胜先后发布公告，确认耐克产品线上平台销售将于2027年1月1日起全面终止。

2、扎根本土自研创新，昕搜科技AI智能体亮相WAIC赋能产业升级

这些"全球第一"的含金量有多高？答案没有看起来那么简单。

3、莱利：我们希望字母哥能在这里度过职业生涯的剩余时光

新总监上任后大概率会推翻前任的部分规划，这在米兰最近几年的历史上反复上演。压哨签！国安引进德国全能中场，全力备战亚冠，斯帕伊奇无缘回归不过有消息称，如果离开巴萨，托雷斯本人似乎更倾向于与恩里克重聚。

4、国足vs新加坡身价对比：国足身价达新加坡三倍，王钰栋、塞鸟最高

当必须压上强攻争取3分时，身后那巨大的空当是克罗地亚老化防线最惧怕的东西。

5、名记:梅西赛前更衣室告诉队友 与西班牙决赛是他在国家队最后一场

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、崩了！骑士被打崩了！落后时刻，米切尔竟然还在场下涂润唇膏呢

他直言自己“有足够的野心与好胜心”，并公开表达了对利物浦新帅伊劳拉的信任，渴望在欧冠赛场重新证明自己。

无论是在葡萄牙体育还是曼联，阿莫林对前腰位置都有着强烈的执念，他认为9号位身后必须至少配置一名能将球权梳理清楚的技术型球员。

阿森纳将在8月16日社区盾对阵曼城，五天后迎来英超卫冕首战，对阵升班马考文垂，就此拉开英超卫冕序幕。

7、气氛热烈 金句频出！一文看尽网易科技首期AIGC创新社沙龙

巴黎圣日耳曼正是看准了这一点。

恩多耶扳平比分，恩博洛“无脑假摔”成比赛转折点 落后的瑞士队并未放弃，他们在下半场发起了猛烈的反扑。

8、宇树、智元开进商场，人形机器人开始拼门店？

就算这样，特斯拉机器人项目总负责Milan Kovac，也被波士顿动力挖走。

梅罗争霸或许早已经结束，2026世界杯或许会成为球迷新的世界杯记忆，那就是梅罗分野戳破双骄幻象。

数据显示，过去三个赛季，埃德森在意甲同位置球员中的场均夺回球权次数、对抗成功率及向前传球占比均稳居前五。

莫德里奇已经与阿莫林有过多次沟通，对一年期续约合同持接受态度，签字只是时间问题；拉比奥则在世界杯三四名决赛结束后口头确认留队，愿意继续为红黑军团效力。