利雅得新月是表现出具体意向的球队之一，他们希望再次补强阵容。

1、米6体育 今年5月正式接手切尔西的阿隆索，在这场媒体见面会上表达了自己对新蓝军计划的期待，同时澄清了俱乐部在恩佐未来一事上的立场。

Fluence与美国两大云厂商签订12GW潜在储能项目储备。米6体育如果加拿大无法在前场形成有效逼抢，很可能陷入被动挨打的局面。

2、翰墨守初心 笔墨传文脉 成县书法家姜军五十载深耕西狭书艺

然而，简单的数字对比并不能完全定义“最佳”的内涵。

3、估值2200万欧元！奥格斯堡铁卫无限接近水晶宫

如果你走进WAIC 2026的展馆，会发现一个有趣的现象：大模型让出了C位，AI硬件成了全场的主角。

4、世界女排联赛：瓦尔加斯23分率土耳其3-1胜波兰

三者在2026年前后同步进入放量节奏，对该公司形成叠加效应。

5、文旅深度融合点亮静宁夏日经济

世界杯结束之后，费兰才会认真考虑自己的下一站。

没有发布会，没有预热，却迅速售罄，二手价格一度被炒到7999元。

阿根廷国家队在世界杯的聚光灯外，用一批水杯、毛巾和背包，完成了一次最成功的“进球”。

6、世界杯一战封神！利物浦新帅点名硬抢！阿根廷真核成红军重建核心

欧美杯缺席，这场世界杯决赛算是弥补。

这一结果，彻底点燃了球迷和媒体舆论的火药桶。

7、买乌郎攻防俱佳，泰山外援合同年必爆发 泽卡4场造11球 陷续约两难

对加纳乔来说，过去几个赛季可谓跌宕起伏。

奥亚萨瓦尔——决赛前已有五球进账——和法维安·鲁伊斯被巴萨组合佩德里和费兰·托雷斯换下，德拉富恩特想给球队带来些不同的东西。

8、23届世界杯终极排名：意大利两冠仅列中游，马拉多纳封神之作屈居第二

创想三维率先上市，让这场竞争第一次有了公开价格。

据多方媒体报道，维拉管理层原本并不打算出售蒂莱曼斯，甚至在几个月前还向他提供了一份新合同。

首轮对阵约旦，奥地利63%控球率却只完成11次射门，与对手持平，3个进球分别来自远射、乌龙和点球，运动战得分效率偏低，这一隐患面对阿根廷时可能被放大。

9、上港主场踢完玉昆比赛后！蒯纪闻就消失在大名单，原因是受伤了

豆包走的是一条“模拟点击”的路径，通过无障碍服务读取App内部的标签结构，再利用模拟触控功能自主操作App。

那时候他意识到，平台表面上解决的是，“如何更好地玩游戏”的效率问题，实际上解决的是，“如何更好地与人连接”的情感问题。

10、罗马诺重申：巴科拉仍是利物浦“最最最核心目标”，不管你们信不信

按照盘中跌幅计算，这家科技巨头一日之内蒸发超过2000亿美元市值。

彼时的苏州旭创的由刘圣等留美博士2008年创立，是国内最早布局光通信模块的企业之一。

1、中超最新积分榜：成都蓉城率先突破40分，泰山队第4，倒数2队输球

本纳赛尔已与球队协商解约，将加盟卡塔尔球队北方体育。

2、英足总称U16球员斗殴属“内部事件”已解决不处罚

哪有这种低风险高收益的股权投资？ 所以，为了实现这种“既要又要还要”，国资的投委会，研发出不少神器。

3、世界杯会老 但天才不老

” 尽管外界对他寄予厚望，但在决赛前夕，埃斯帕特选择将注意力完全集中在比赛本身。青岛西海岸本轮能战平成都蓉城！球迷公认他功不可没，曾留洋欧洲" 随后有记者追问，他是否希望留住这位中场，阿隆索只回了一个字："是的。

4、曼联传奇痛批！英格兰世界杯出局头号罪人！阿森纳王牌全程拖后腿

引进戈登和阿德耶米这两把尖刀，正是为了分散这份重担。

5、杨铭锐缺传球视野，跟着斯坦丘多练 大连3星发展不同 小朱找准定位

美伊冲突持续升级。

6、队友接连退赛,阿联酋航空车队被病毒横扫,波加查环法黄衫悬了?_网易订阅

在事故责任彻底查清之前主机厂和电池厂的互相推诿，恐怕还会继续下去，连同双方的“默契”。

通过协议转让先拿下上市公司控制权，后续再逐步注入资产完成证券化，是一条效率更高、确定性更强的路径。

首轮0-2输给墨西哥，虽是揭幕战加高原主场，但两张红牌才是输球主因，正常11人对11人的时候，墨西哥也没占到太多便宜。

7、瓜迪奥拉力挺罗德里夺世界杯最佳球员：真正的MVP，全程稳定输出统治中场

指控的罪名是——偷商业机密。

梅西领衔的这支南美冠军，原本志在成为自1962年以来首支实现卫冕的球队。

8、LPL 2026第10场：加勒尖塔对阵贾夫纳国王，丹布勒之夜超175分或成胜负线

在考察超长程软件工程任务能力的 SWE Marathon 测评中，K3 以42.0分位列第一；在 AutomationBench-AA 中以53%居首，长程知识工作 Elo 1547 仅次于 Fable 5。

这几年，AI产业的竞争几乎围绕"算力"展开。

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。

（综合自新华社、央视新闻、界面等）7 月 22 日，2026 国际低空经济博览会在国家会展中心（上海）开幕。