阿莫林最受红鸟财团器重的能力是擅长培养年轻球员，战术打法先进，完全符合米兰的建队思路。

1、云开体育 也就是说，同一届毕业生，选了机器人的，工资是其他同学的5倍左右。

替补登场对沙特，他进球了，但被VAR吹掉——毫厘之间的越位。云开体育新赛季临近，巴萨迎来了一个好消息：费尔明·洛佩斯的恢复已进入最后阶段，即将迎来期待已久的复出。

2、排面!西班牙凯旋国王携美丽公主皇宫接见,200万民众参加夺冠巡游

但工具能力可以横向扩展，不只是剧，也可以做营销视频、广告视频，背后是相通的技术底座。

3、终于等到普京出手，乌不宣而战后，日本公布援助计划，俄4字回击

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。

4、网坛大表彰！阿尔卡拉斯和萨巴伦卡包揽劳伦斯年度最佳运动员

那些在凌晨三点、清晨六点爬起来看球的日子，总算告一段落。

5、钉钉换帅：阿里底色未变，组织向AI而生

尽管客场战胜热那亚让红黑军团重回正轨，有望以联赛前四收官，但阿莱格里仍存在较大的离队风险，他的未来可能远离米兰但不会离开意大利。

但法国队同样拥有卫冕冠军的底蕴与极其深厚的阵容厚度，德尚的临场调整能力与球队在关键时刻的球星闪光，往往是打破僵局的利器。

摩洛哥虽然贵为非洲冠军，但在法国队密不透风的攻防体系下，几乎找不到任何突破口。

6、CCTV5+直播！中国男篮VS日本，河村勇辉有望驰援，郭士强拒绝输球

相比之下，西班牙与英格兰的等待则显得更为漫长与苦涩。

常规时间最后一击，亚马尔主罚任意球射得太正，马丁内斯飞身向左将球扑出底线。

7、【CBA联赛】第三十七轮｜七连胜！浙江稠州金租95-72胜山东高速！

滴滴、TCL、网易则都是阿根廷国家队的签约赞助商。

"固定十七队"的格局被打破了。

8、波罗：我在热刺非常开心；我是一个很有雄心、总想进步的球员

从长远来看，特斯拉储能业务的毛利率将维持在 20% 的低位。

一度被称为“网约车之王”的广汽埃安，这几天始终被挂在热搜上，接受来自司机群体的“审判”。

六场比赛英格兰打入13球、失6球，场均控球率57.3%，传球成功率88.8%，高位逼抢体系下的中场控制力出色。

9、不能让游客“入戏”的景区，正在被淘汰

进攻端，加纳主要依靠塞梅尼奥、威廉姆斯的快速反击。

费兰·托雷斯：一脚封神 有些进球赢比赛，有些进球定赛事，极少数进球，能改写一个球员整个职业生涯被世人记住的方式。

10、山东蜜獾第一年：一群在NBL"陪跑"的年轻人，图什么？

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。

三次越位，绝望指数直线攀升。

1、继杜锋卸任主帅后，曝朱芳雨辞去总经理职务，广东男篮开启新时代

俱乐部日前已通知部分球员的经纪人前往米兰总部，明确告知其客户是否在新赛季计划之内，这标志着一场大规模的阵容清洗即将展开。

2、恭喜火箭队！一天签2人，双前锋底薪签约，合同堪称白菜价，斯通很精明

随着Coding场景下的同质化竞争全面提速，各家模型在主流Benchmark上咬得越来越紧，用户切换API的迁移成本却无限趋近于零，如今，Coding API也开始卷起Token价格战时，资本终于忍不住追问一个本质问题： 这个赛道的护城河，到底在哪里？ 值得注意的是，就在“语言大模型”贴身肉搏时，另一条赛道却跑出了发展加速度，有一家视觉生成赛道的公司悄悄拿到了15亿元融资。

3、欧盟：这么干又让中国占便宜，那对俄罗斯好点吧

这类组织在财报上是成本，在服务上是承诺。身价翻2.7倍！湖人旧将靠防守库里一战成名，如今收获1900万合同从数据层面来看，已经晋级四强的法国三叉戟的统治力确实令人惊叹。

4、快船再次推迟后场新星合同转保障的时间，留给他的机会真的不多了

AC米兰在今夏转会窗的前两笔操作已经先后落地。

5、你的专属篮球装备已就位，2026暑假训练营火热报名中！

如果佩德罗拉以100万至150万欧元的价格完成永久转会，按照当初约定的分成条款，巴萨将获得转会费的一半，桑普多利亚拿走另外50%。

6、今晚（7月24日）三开！2026“湘超”揭幕战长沙队VS永州队门票再开抢！前两次没抢到票的球迷，千万别再错过

法国与英格兰将为铜牌展开较量，姆巴佩、奥利塞、凯恩、贝林厄姆等球星都将在这场荣誉之战中登场。

对照这一标准，上述四人都无法满足阿莫林的要求。

反观阿根廷，尽管全队总身价仅为8亿欧元，是四强中唯一未破10亿大关的球队，但他们却在梅西的带领下涉险过关，成功突围。

7、米奇当选常规赛第十二周中国人寿周最佳球员

Cricut提供了一套更成熟的衡量方法。

国内市场的质变，与海外需求的井喷形成了共振。

8、国羽出征丹麦，汤尤杯揭幕战一触即发

27岁，正值职业生涯的黄金期，但他至今未斩获过金球奖，俱乐部层面更是连续两个赛季面临“四大皆空”的窘境。

目前，巴萨已经签下了安东尼·戈登，阿德耶米的加盟也接近敲定，阿尔瓦雷斯依然是锋线引援的首选目标，俱乐部还对在窗口关闭前签下坎塞洛抱有信心。

地平线机器人如今将进一步加强同大众的合作。

2022年卡塔尔世界杯决赛，马云又去了现场。