不过年代久远，参考价值有限。

1、金年汇 2024年欧洲杯，西班牙2-1逆转法国；2025年欧国联，双方更是上演了5-4的史诗级进球大战，西班牙再次笑到最后。

从技术特点来看，亚沙里确实具备接班莫德里奇的底层能力，双脚都能完成高质量的短传和长传转移，原地摆脱逼抢的动作速率不错，视野也够用，但他的问题在于节奏。金年汇截图来源于微博@数码闲聊站 从产品定位来看，畅享90 Pro Max通过麒麟8000处理器，8500mAh大电池以及原生鸿蒙系统，打造了一款看似“不发烧”、重点保证续航和基础流畅度、更符合当前千元机目标用户真实需求的新机。

2、腾讯首席AI科学家姚顺雨：AI下半场是长期游戏与多元演进

鼓励公共体育场馆结合实际需求进行数字化、智慧化改造升级，积极探索开展线上线下结合的群众赛事活动。

3、女排总决赛首战14人名单出炉！17岁新星再遭赵勇弃用，或成为下个沈静思

距离6月29日夏窗正式开启只剩不到两周时间，AC米兰却再次遭遇重大打击。

4、北京首钢赛区获得2025-2026赛季优秀赛场组织奖项！

法国队擅长利用对手压上后的身后空当发动致命反击，而西班牙队则需要通过极致的控球将比赛拖入阵地战，压缩姆巴佩的冲刺空间。

5、索尼的“大画幅”电影机要来了！盘点一下目前电影机传感器有多大

土耳其劲旅加拉塔萨雷日前追逐布雷默无果后，将报价提升至税后年薪800万欧元，比巴西人当前在尤文的收入高出约200万欧元，这已经足以打动布雷默做出离队决定。

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。

这不仅是一场战术的博弈，更是恩怨、青春与足球哲学的极致碰撞。

6、全域联动、多维赋能，农夫山泉借总台世界杯资源强化国民品牌形象

因为诉讼代表“我已经尽职履责去追讨了”，属于尽职免责。

那么总投入1.5万，回款为3.6万，净收益2.1万。

7、Scotto：多队曾致电掘金询价约翰逊 但均遭拒绝

而为了绕过当前的DNA合成筛查机制，不法分子选择换一个思路：网购买不到一把完整的枪，就拆成零件来买。

单次求职虽然具有阶段性，但整个求职过程包含职位发现、简历定制、申请填写、内推寻找和面试准备等大量高频任务。

8、雄鹰之家｜球衣号码定制服务全面上线

三期工厂于2025年底竣工后，锂精矿总产能从162万吨扩张至214万吨，并在2026年1月顺利产出首批合格产品。

这粒进球只花了几秒钟，但通向它的路，走了好几年。

国内市场的质变，与海外需求的井喷形成了共振。

9、报告｜同程旅行：奥运会开幕首周巴黎酒店预订热度同比涨4倍

而在中场与锋线的衔接处，奥利塞扮演着“进攻大脑”的角色。

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。

10、挪威晋级之后，三文鱼不够卖了

我们带着现实的处境来到决赛，但只要球员们在场上毫无保留，就像今天这样，就能给我们的人民和国家树立好的榜样。

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。

1、【CBA联赛】第十八轮｜浙江稠州金租73-79北京北汽

比赛预测与看点 综合来看，乌拉圭在整体实力、中场控制、个人能力方面都占据明显优势，尤其是巴尔韦德领衔的中场，对沙特形成碾压级优势。

2、1975年，周总理病重住院，宋庆龄向朋友控诉：江青竟闯进医院撒泼_网易订阅

然而北美之行虽然惬意，这位30岁的“三狮首席太太团成员”却在回程中切身体会了一把“机场地狱”。

3、超1万AI智能体统统下架？智能时代，为什么越来越多人爱上AI伴侣

两家俱乐部都愿意为莱奥开出超过1000万欧元的年薪，这在一定程度上确实打动了葡萄牙人。国乒包揽冠亚军，孙颖莎夺得WTT美国大满贯女单冠军管理层方面，卡尔迪纳莱也狠狠折腾了一番，先是夺冠“斩功臣”，辞退马尔蒂尼和马萨拉，随后又送走接任体育总监的安东尼奥·多塔维奥（现任职科莫），当下CEO富拉尼也正遭到口诛笔伐。

4、别看是好兄弟，但杨瀚森真没法和马卢阿奇比，后者更早出头不奇怪

从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

5、零跑汽车成为澳洲全国匹克球联赛首席官方汽车合作伙伴

算上场地和生产成本，一年就是1.5亿的固定消耗。

6、时隔12年重返总决赛！文班三少对比14年GDP 马刺能复刻夺冠剧本吗

届时，市场真正需要观察的，不再只是年度出货量，而是设备购买一年后的活跃率、每台活跃设备的耗材消费，以及创作者能否稳定提供可打印、可使用、可授权的内容。

更令人唏嘘的是，他仅用三届世界杯就打破了克洛泽保持的16球纪录，以20粒进球紧追21球的梅西，但在这距离王座仅差1球的地方，他停下了脚步（法国队还可以参加季军之战，仍可以争夺本届世界杯金靴，目前姆巴佩与梅西以8球并列射手榜第一）。

耐克用了六年，完成了两次收权。

7、CBA记者：朱芳雨已完成交接工作，与广东队说再见

塞内加尔总身价约4.8亿欧元，阵中同样拥有库利巴利、马内、杰克逊这样在欧洲足坛证明过自己的顶级球星。

别等毕业，大二就该盯起来了：各家官网的"校园招聘—实习生"入口、牛客网的实习板块、学校就业群的内推消息。

8、短短7天时间，普京支持率出现暴跌，给整个俄罗斯敲响一记警钟

" 另据罗马诺报道，阿森纳已与罗杰斯团队进入"深入谈判"阶段，准备"加速"推进。

25/26赛季结束后，AC米兰开始经历大动荡。

由于主教练和体育总监的职位空缺，AC米兰的更衣室开始出现躁动，多名主力球员都有离队的想法。

若下半年锂价中枢回落至14万元/吨，公司盈利水平至少缩水三成。