罗德里作为单后腰负责节奏把控与拦截扫荡，佩德里、法比安鲁伊斯也是球队由守转攻的关键引擎。

1、乐鱼电竞 技术竞赛2.0：三大战场 如果说2022至2024年的主旋律是扩产竞赛，那么2025至2026年已经切换到技术竞赛。

伊劳拉与伯恩茅斯的合同即将到期，他已经通知俱乐部自己无意续约，将在7月份自动离职。乐鱼电竞再加上三个月35亿的融资战绩，"科研+工程+融资"三项全能的创始人，在科技创业圈非常难得。

2、上海男篮又犯老毛病？

李·康格顿，威尔士人，1973年出生，2025年夏天刚刚从沙特球队吉达国民卸任体育总监。

3、NB！伦纳德+杜兰特+欧文，活塞想全包！

中场核心J罗虽然年事已高，但创造力依旧出色，对阵葡萄牙时76分钟就贡献5次关键传球，展现了大师级的传球视野。

4、广东男篮离队第一人！21岁后卫试训南京队，因死亡缠绕赵继伟出名

次回合，姆巴佩双响带队4-1逆转，这也是他面对亚马尔仅有的两场胜利之一。

5、俄军惨遭袭击，普京下令出手后，泽连斯基搬出最大靠山

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。

但进入淘汰赛，卫冕冠军的征途异常坎坷：1/16决赛苦战120分钟才3-2险胜佛得角，1/8决赛3-2力克埃及，1/4决赛常规时间1-1战平瑞士，加时赛才靠阿尔瓦雷斯和劳塔罗的进球锁定胜局，半决赛面对英格兰更是上演绝境逆转。

但工业和家庭机器人需要解决的大量问题，自动驾驶根本碰不到，比如：手指和物体的接触力学、摩擦力和压力、布料线缆等可变形物体、抓取失败后的微调、毫秒级的底层控制…… 所以，极佳视界想要同时走好三条路线，仍需要模型重新吸收大量机器人接触数据和真机失败数据，这个过程没有捷径。

6、青岛男篮联名崂山啤酒

整届赛事至今，加拿大展现出了年轻球队的冲劲和活力。

3年的时间里，伯恩茅斯在伊劳拉的调教下排名接连攀升，从接手前的第15名到第12名、第9名，又到本赛季的第6名，率队取得历史性欧战资格（欧联杯）。

7、山西队更换主教练，潘江指导下课；广厦队续约布朗谈判不顺利

自2022年冬天梅西率领阿根廷夺得世界杯冠军以来，C罗却在俱乐部与国家队的处境便屡遭波折，他在采访中多次强调欧洲杯的含金量不亚于世界杯，世界杯不是他的梦想。

有意思的是，彼时米兰外租球员海于格就在阵中，他的买断触发条件为法鹰夺取欧联杯，谁曾想真就这么达成了。

8、渣叔：美因茨升级改变我的人生；孙子可能以为我在电视台工作

姆巴佩全场仅有34次触球，0射正，他赖以生存的纵深反击空间被完全压缩。

这不是巧合，这是质保期与缺陷暴露期的精准错配。

埃梅里在比利亚雷亚尔时期就曾执教过埃斯图皮尼安，对其技术特点十分熟悉，而球员本人也愿意与恩师重聚。

9、世界杯和AI，为什么能同时挤进小红书？

自动调平、高速打印、多色系统、闭环控制，过去是拓竹的差异化，未来可能成为行业标配。

阿森纳方面已做好萨利巴休战四到五个月的准备，这意味着他将错过新赛季开局阶段的多场关键战役。

10、官方：曼城与埃利奥特-安德森签约至2031年

模型参数需要不断读取，KV Cache需要持续更新，数据需要在GPU、显存、CPU以及存储系统之间频繁交换。

2011年和2013年，再普乐与欣百达专利先后到期，这一次礼来管理层没能延续之前的奇迹。

1、海港外援进球加起来没申花拉唐多！ 近两场比赛都是后卫进球

摩洛哥队内身价看涨的不止他一人。

2、传球+三分投篮之外，火箭新秀化身防守端万金油！顶替奥科吉，进轮换有戏

我甚至怀疑，中文播客接下来的高频词会是“具身”“在场”和“真实连接”。

3、众多精英三月征战海外，国内精英标运动员不够分了

现在，生活回报了他。为了矿泉水瓶，世界杯举办城市和FIFA吵了起来洛夫图斯-奇克和福法纳的离队概率则要高得多。

4、CCTV5+直播京蓉大战！蒙哥马利PK约翰，斯帕伊奇+拉莫斯防死费利佩

至于背后那几百天的苦功，它不在乎。

5、氪星晚报｜SpaceX将“星舰”第13次试飞推迟至7月23日；马斯克称特斯拉FSD会模仿驾驶风格；我国人形机器人整机产品超全球半数

陶冶和他的团队擅长把复杂的工程问题拆开，误差可以由传感器发现，运动可以由算法控制，失败可以通过软件提前避免。

6、CBA消息：北控男篮签约名将之子，杨瀚森直言差距，咪咕将重返CBA

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。

这并非一次偶然的伤病，而是长期过度比赛导致的神经性疼痛，这种疼痛无法通过常规治疗手段根治，唯有彻底的休息才能缓解。

时隔三年，米兰又一次把目光投向了这位日本中场。

7、一笔交易、5次签约，总计花费4.5亿美元，湖人球迷满意佩总操作吗

世界杯决赛前，哥伦比亚流行天后夏奇拉被问到了一个绕不开的话题：亚马尔能否成为下一个梅西？ 她没有给出任何大胆预测，而是给出了一段相当务实的回答。

我会在个人层面支持马科斯，同时每次看到英格兰站在这样的舞台上，依然无比自豪。

8、两次落后两次追平！日本队无惧荷兰，亚洲球队至今保持不败

AI的算力竞赛动辄涉及百亿级的投入，单张高端AI芯片价格就能达到数十万元，一次完整的大模型训练周期成本更是可达数亿元。

而礼来呢？在迪马基离开后，公司对GLP-1减肥领域的研究就全面停止了。

尤文客场一球小胜莱切，坐上第三把交椅，把那不勒斯挤到更紧张的位置；原本那不勒斯战胜博洛尼亚就能锁定席位，却在主场输了个2比3，孔蒂的球队只领先尤文2分，对米兰和罗马的优势也不过3分；科莫击败维罗纳后把积分追到65分，仅落后米兰2分。

谭炯任中国人民保险集团股份有限公司党委书记 7月23日，中央组织部有关负责同志出席中国人民保险集团股份有限公司干部会议，宣布中央决定：谭炯同志任中国人民保险集团股份有限公司党委书记。