紧随其后的是米兰，红黑军团两年间分别支出1.39亿和1.7亿欧元，累计在转会市场花费3.09亿欧元。

1、乐鱼全站 在刚刚结束的赛季，他41次代表贝尔格莱德游击出场（13次首发），贡献12球1助攻。

固态电池国标落地、欧盟电池护照进入倒计时，合规能力正在成为新的入场券。乐鱼全站在传统体育鞋服的下游产业链当中，多层经销从品牌方大批量拿货，能够为其分担库存压力，同时承担平台投流、客服、仓储成本。

2、北美科技软件股指数ETF涨约1.8%

“我们赢得起，也要输得起。

3、成名曲全靠白嫖？央视表态后,韩红露面被嘲,曾自曝抑郁,拒绝哈佛_网易订阅

他认为，眼下这支英格兰队展现出的强度，和英超俱乐部相比有明显差距。

4、周受资红毯比心可爱，贝佐斯花千万让老婆站C位，邓文迪母女抢镜

港股由此为消费级3D打印公司放下了第一把公开的估值尺。

5、泰国青少年走进贵州

阿根廷球迷在Change.org平台发起了一项请愿活动，要求重赛2026年世界杯阿根廷对阵西班牙的决赛。

但全球DRAM格局稳定，谁的份额都难大变，更没有国产替代叙事可讲。

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。

6、世界杯开始了，从前两场比赛看，水平不太高，但球员都很高兴

倡议发起人称，存在影响比赛走势的裁判行为，并指控所谓的不当操作，但未提供可核实的证据，仅呼吁国际足联对赛事进行复盘。

在去年以来的科技股牛市中，市场为这家本土龙头给出了高估值，北方华创一度冲上了7000亿元的市值高峰。

7、C罗含泪告别世界杯！遗憾落幕满场嘲讽，最后竟是他说了句公道话

传统的“拿着PPT讲概念、搞PPT金融”的财务型GP被全面断粮。

但问题是，DNA序列本身没有善恶标签。

8、火箭小将证明自己！场均22+4+4+4抢断 新季能否进入常规轮换

有球迷一针见血地指出：“同为超巨，凯恩在关键战的持续参与进球能力，远不及梅西。

英超升班马考文垂是最先询问托莫里状况的俱乐部。

剩余待偿还贷款，地平线机器人将通过现金方式偿付，此次发行可转债正是为筹集相应资金。

9、清凉解渴更暖心！红岩派出所高温下架起警民“连心桥”

前两轮，加纳一球未丢！这可不是偶然。

世界排名第一的法国队迎战排名第三的西班牙队，这不仅复刻了两年前卡塔尔世界杯半决赛的对阵组合，更是两种极致足球哲学的直接碰撞。

10、凌晨0点起 世界杯2场大战！8强将全部出炉 阿根廷有望破纪录

作为该财务策略的一部分，体育部门评估了多名能够通过出售产生资本收益的球员，卡萨多因其青训背景成为最具吸引力的选项之一。

西班牙以5胜1平的战绩晋级四强，六场比赛打入11球仅失1球，场均失球0.17个为四强最低，一度创造了649分钟的零封纪录，直到1/4决赛对阵比利时才被打破。

1、半年狂赚百亿！江西草根姐弟领跑国产存储，闷声干出千亿芯片巨头

据报道，尤尔曼认为自己在葡萄牙体育的周期已经结束，几个月前就和俱乐部主席达成了协议，今年夏天可以以大约3500万欧元的价格离开。

2、几亿美金砸出来的硅谷大模型，被一台相机干翻了！

在产业转型升级的窗口期，旭阳新材为什么会出现这些问题与疑点？疑点是否反映了经营底色的深层问题？ 疑点一：大额分红，钱去哪了？ 一个家庭年收入6万，突然宣布要花7.1万办酒席，但家里存款只有4.4万，办酒席的钱大部分是东拼西凑，拖了一年才付清。

3、泰山队5-1的收获，22岁多面手证明自己，教练组把细节做到更好

更为致命的是，球队在情感惯性与战术现实之间产生了撕裂。许利民下课！北京首钢换帅，小李飞刀或上任，云总：还有好消息！全行业锂盐企业陷入实质性亏损，大量中小厂商被迫停产。

4、58岁王小丫罕见现身主持，穿粉西装端庄大气，主持功底不减当年

2026年美加墨世界杯是首次扩军至48队，这么多球队晋级四强的球队刚好是国际足联排名前四球队，这是世界杯历史上首次出现这样的壮举，这意味着本届世界杯半决赛没有一丝一毫的水分，最强四队争夺两个决赛名额，法国vs西班牙、英格兰vs阿根廷。

5、加盟广东成首选？CBA第一内线大杀器或被交易，曾被杜锋点名要人

阿尔特塔的球队希望将这笔交易的成本控制在1亿英镑以内。

6、亚马逊Prime Video嵌入Luna云游戏，可立刻开玩《辐射4》

你总是会有这个时代的局限性。

阿根廷则拥有大赛冠军底蕴与梅西这个历史级变量，硬仗韧性不容小觑。

葡萄牙和克罗地亚在历史上共交手10次，葡萄牙取得了7胜2平1负的战绩，打进19球仅失8球，占据绝对优势。

7、英格兰为主动屈服买单，领先若换上快马打反击，3-0阿根廷都有可能

这位金球奖得主在本届赛事贡献5球2助攻，他与姆巴佩在世界杯历史上已累计为对方创造19次机会，创下近60年来法国国家队纪录。

模型创业公司建立能力尖峰的方式更为纯粹，就是要不断拉升模型的Coding能力。

8、连续引援成功+猛追胡金秋！CBA黑马队新赛季能否冲冠？

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。

“主体性”“边界感”“课题分离”，负责重新划分权力：什么是我的事，什么是别人的事，我能不能把生活拿回来。

在对阵乌迪内斯、尤文图斯和亚特兰大的比赛中，莱奥都遭到现场球迷的沉重嘘声。

根据机构预测，北方华创2028年归母净利润有望达到136亿元，对应当前股价的市盈率降至48.9倍。