但马竞的态度始终坚硬如铁：不放人。

1、云开体育 被裁员，可能被解释为“职业倦怠”；遇到难相处的领导，对方可能立刻被诊断成“NPD”；没有行动力，是“低能量”；不敢争取，是“低配得感”；关系出现争吵，则可能是对方缺乏情绪价值、突破了自己的边界。

《左传》有言："居安思危，思则有备，有备无患。云开体育比赛重赛仅在体育规章明确规定的特殊情形下，或经主管机构裁决后才可能发生。

2、韩旭出战12分钟得2分2板 李月汝出战16分钟得到7分1助

就阵容实力而言，英格兰是要强于阿根廷，但梅西是非一般的战力，对阿根廷全队有着属性加成。

3、外网当笑话看！上海的阿根廷球迷攻击+歧视西班牙黑人 被警方带走

对费兰来说，不存在什么一夜之间的脱胎换骨。

4、姜向东 2026绿色系风景油画新作

无论是谁在这场半决赛中胜出，都极有可能将夺冠概率推高至80%以上。

5、以画为镜，正本清源！诚邀您用视觉语言揭露谣言，守护真相

随着贡萨洛·拉莫斯与马里奥·吉拉相继落地，AC米兰在锋线与后卫线上的投入已突破一亿欧元门槛。

首尔、伦敦、曼谷、上海，都有了Hirono小野的独立品牌门店，涵盖服饰包帽等品类。

但公司业绩一路下行，扣非归母净利润连年缩水：2022年尚有4172万元，2023年腰斩至1930万元，2024年跌到933万元，2025年全年扣非净利仅629万元，2026年一季度更是只剩46.84万元，主业盈利能力几乎见底。

6、【一城烟火 幕映冰城】让“对门不相识”变“观影一家亲”丨社区露天电影幕布不散场，点亮左邻右舍欢聚幸福时光_网易订阅

（文｜公司观察，作者｜苏启桃，编辑｜曹晟源）7月17日，努比亚的AI宠物机器人iMoochi将正式上线，AI宠物赛道又添一员大将。

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、淳中科技：拟5000万元至1亿元回购股份用于减资

Ricks当机立断，决定就减重效果进行更大规模、投入更多经费的临床研究。

「不是让我们的内容去服务于游乐设备，而是所有的游乐设备和技术都应该为IP和体验服务。

8、阿根廷vs西班牙：时间魔法对空间控制

过去几年，AI行业信奉一个朴素的逻辑：算力不够，就堆更多的GPU、更贵的GPU。

就在瑞士队士气大振之际，场上出现了极具戏剧性的一幕。

算力平权，仍需整个产业链作答 不做GPU，但做GPU的“放大器”，AI90更强调的是AI部署成本的下降，中小企业、开发者甚至个人用户，也能够基于消费级GPU部署本地AI，而不必完全依赖昂贵的数据中心资源。

9、2026年07月24日《好运山东》：精彩省运 马到成功_网易订阅

7月17日iMoochi的正式上线，以1699元的售价（云朵充电底座套装1778元）卡位中端市场，标志着手机厂商对这一赛道的正式“宣战”。

25/26赛季对米兰球迷来说喜忧参半，喜的是球队在阿莱格里的带领下再度回归争四集团，有希望参加下赛季欧冠联赛，忧的是锋线人员众多，却没有一个能拿得出手的得分机器，3月1日至今5名前锋只有1球进账。

10、济宁市消防科普研学金乡基地揭牌 暑期消防安全教育系列活动正式启动

曼联那边则是轻松模式：一周一赛，氛围良好，仅仅因为换了一个受人喜欢的主帅就焕然一新。

从球衣、球鞋到官方比赛用球，阿迪达斯将这场决赛彻底变成了自家品牌的专属秀场，完成了对单届世界杯决赛的商业全盘垄断。

1、中国顶级阳谋！全球集体囤油自保，中国逆势开闸盘活全球能源市场

巴萨已与多特蒙德达成协议，将签下卡里姆·阿德耶米。

2、前17轮净胜球TOP3！ 领头羊成都最多有21个 缺兵少将申花9个 ，北京国安是6个

真正的分界线，或许不在“代理”与“运营”之间，而在“运营”与“拥有”之间。

3、中央安全生产考核巡查组第六组对上海市开展三季度安全生产明查暗访

不清楚是天气炎热还是其他原因。本田召回37辆进口2025款CB1000R型摩托车，活塞及活塞环设计不合理维拉刚刚以超过1.3亿欧元的价格将罗杰斯出售给切尔西，手握充足转会资金的同时急需在左边路寻找替代者。

4、43岁徐子淇消失3年回归站C位，“千亿儿媳”变“当家主母”

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。

5、1270 万大学生走出校园，普通岗位上千人争抢，光有学历还够用吗

迈阿密体育场的这个夜晚，既是旧友的重逢，更是通往世界杯巅峰之路的残酷试炼。

6、诺安基金，迎新任总经理！

目前市场对7月加息概率的定价约34%至38%，对9月加息的定价高达82%。

在阿莫林偏好的三中卫体系里，右脚中卫需要具备稳定的出球能力和对抗硬度，托莫里防守选择的不稳定性不符合新体系要求。

本次是队史第五次闯入世界杯决赛圈，时隔12年重返世界杯淘汰赛。

7、CBA三消息！浙江续约外教，北京首钢将换帅，郭艾伦张一山互动！

“但这招，防得了君子，防不住小人。

最后，大厂和模型创业公司都更需要参考的是Anthropic如何把愿景、业务和组织做成了互相嵌套的整体。

8、火箭最大问题并非控卫！一人连续犯错只靠三核 季后赛真难走远

法国、西班牙、英格兰、阿根廷——这四支球队恰好包揽了赛前国际足联（FIFA）世界排名的前四位。

损失不能只用金额衡量，还要考虑杠杆、跳空、时间损耗以及无法退出的风险。

" 乔哈特的言辞更加激烈："索斯盖特在英格兰的关键时刻挨了不少批评，说他在比赛里太早开始防守。

尤其是第二轮对阵刚果，哥伦比亚全场控球率64%，射门20次射正9次，完全压制了对手，只是终结效率偏低，最终只收获一个进球。