随着夏季转会窗口临近，米兰着手开启引援考察工作。

1、乐鱼电竞 时至今日，他仍是阿森纳和巴黎圣日耳曼高度关注的球员。

周远发现，清单中很多项目只能回答“未来空间很大”，却回答不了“持有资产的价值如何上涨”。乐鱼电竞很多看似稳健的策略都有类似结构。

2、五大联赛主帅冠军榜出炉：穆帅和安胖同拿6冠 谁才是真正战术大师

该系列以「形随意动」为理念，将先进功能科技融入简约外观之中，适配城市与轻户外场景的多场景穿着需求。

3、每到春天就中招？为什么我们这么爱过敏？

二、C罗投资AI搜索独角兽 梅西不是唯一一个把目光投向AI的球星。

4、味道下头！天天刷牙依然有口臭，原来问题出在这里

不过，对于他的未来，拉波尔塔直言，俱乐部并无放人计划，哪怕拉菲尼亚在首发位置的竞争中遇到了压力。

5、正式确定！前泰山外援完成归化，未来国足劲敌，曾被李霄鹏弃用

两队历史上共交手9次，英格兰6胜1平2负占据优势，胜率超过六成。

至于行业内的差距，我认为主要来自技术创新。

在经历了数个赛季的中场动荡后，蒂莱曼斯的到来有望为球队带来急需的稳定性与创造力。

6、8个监控摄像头，这就是“完美丈夫”对她的爱

美加墨世界杯第二场半决赛将于本周四打响，英格兰与阿根廷狭路相逢。

"据了解，利物浦仍是展现最具体兴趣签下布拉德利·巴尔科拉的俱乐部。

7、1-1逼平国安！不得不承认5个事实，铁人主帅徐正源真厉害！

世界杯放到美国办，商业价值天然就比放在其他地方高出一截。

标哥做过几期揭露加盟商套路的视频，他最终得出的结论是：24年往后，量贩零食行业稳赚不赔的，不是零食生意，不是加盟商，只有品牌方。

8、泰山队为何不用外教了？只因土帅便宜、听话、好控制

同席的还有墨西哥总统欣鲍姆、加拿大总理卡尼和FIFA主席因凡蒂诺。

预期进球值仅0.64，甚至低于对手的0.82。

周远不是现实中某个具体的人，更像是许多人设雷同的投资者集合，当然也包括老衬本人不少经历和缩影。

9、槐荫时评

佰维存储聚焦半导体存储领域，布局存储芯片设计、存储模组、嵌入式存储、先进封测及存储测试设备多条业务线，产品广泛应用于AI服务器、边缘算力终端、消费电子、工业存储等场景。

这位巴萨前锋做出了他最擅长的事——禁区内一记完美的跑位，半凌空，左脚，纯粹的前锋本能。

10、这个“大笔杆子”，也倒下了！

相比重金赞助英格兰、法国却双双折戟半决赛的耐克，阿迪达斯以极高的性价比锁定了决赛双雄。

只不过，这一次月之暗面也将关注点转向Coding和Agent，并声明自己既不做娱乐性的场景，也不做生图、生视频，而是一直聚焦Coding、金融、法律、科研等生产力场景，坚持依靠基础模型的能力进化，来推动产品在生产力场景的渗透。

1、成都蓉城爆冷惜败上港！王子铭状态低迷屡屡错失良机，遭球迷质疑

瑞浦兰钧联合TÜV莱茵与Circulor推出的电池护照项目，98组独立验证数据集已获欧盟NB机构第三方核验。

2、无缘首胜！葡萄牙1-1爆大冷！诸神黄昏这事，可能只有C罗听进去了

查洛巴是在利夫拉门托受伤后紧急补招入队的，出场顺位本就靠后；托尼作为替补前锋，除非哈里凯恩出现伤病，否则很难撼动其主力位置；而中场小将梅努则面临更为激烈的竞争，罗杰斯、赖斯、贝林厄姆以及埃利奥特·安德森等人牢牢占据着中场轮换名额，他几乎找不到上位空间。

3、满盘皆输！替补巨星云集却死抱C罗 41岁C罗首发彻底锁死葡萄牙上限

"我认为我们没有打出自己想要的东西——无论是战术、技术，还是整体的发挥水准，"姆巴佩说，"而当你在一场世界杯半决赛中没能做到该做的事，你就赢不了。文明培育丨在大连过暑假，阅读、看展、学技能！那些电池、核心元器件等，在现场被拆得七零八落。

4、明天起，坐高铁有新变化！

网下询价提供了现实的参照。

5、喜讯！邵佳一首次为这位王牌球员破例，将征召他进国足集训名单

耐克大中华区副总裁兼总经理 Cathy Sparks 透露，自明年1月起，中国内地的主力运动零售商将全面停止线上耐克鞋服产品销售，转而专注线下门店经营。

6、医生报警自救被医院处分！院领导：要顾大局，受点委屈怎么了？因没主动报警，2名医生被通报，1人被停诊半年！医生可以报警，可以终止诊疗

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。

这家公司不做Coding，不抢代码赛道，而是在视觉多模态赛道闷声发力，三个月内完成三轮融资，累计超21亿元，从估值看已经正式跻身全球AI独角兽。

那种眼前正在上演体育界最重要事件的庄重感。

7、天气舞台晴雨交替 近期全省多降雨天气

根据官方消息，阿莫林正式出任AC米兰一线队主帅，他的到来可能会直接影响到球队头号球星莱奥的未来，尽管此前葡萄牙人已经自宣离队。

耐克提出减少批发业务、增加直营渠道，把消费者关系、会员体系、产品数据以及利润更多掌握在自己手中。

8、金球先生加盟？德媒：皇马管理层做出决定 将签下罗德里合同4年

03 估值公示 中国的具身智能抢人，为何到了如此地步？ 多位投资人透露，在具身智能行业，内部流传着一套“人头估值公式”。

这让人联想起大洋彼岸的类似动向，OpenAI并购了苹果前首席设计官Jony Ive创办的公司，还被曝与联发科、高通合作自研手机处理器。

首先是进攻端过度依赖哈兰德，小组赛末轮哈兰德轮休时，球队的进攻体系近乎停滞，缺少第二稳定得分点。

后来者可以拿到拓竹 80% 或 90% 的体验，再用更低价格进入市场。