不过想要签下拉莫斯难度不小，首先是身价问题，巴黎当初签下他花了不少钱，现在就算要卖，也不会太便宜。

1、乐竟体育 恰恰相反，它们的流行证明，人们开始认真对待那些过去被一句“想开点”打发掉的感受。

有太多的感触，太多的情绪起伏。乐竟体育淘汰赛阶段，英格兰先是2比1小胜民主刚果晋级16强，随后在墨西哥城的高原客场，面对此前四战全胜零失球的东道主墨西哥，打出了本届杯赛最具说服力的一场比赛，在宽萨染红被罚下的情况下，十人作战的英格兰顶住了墨西哥的疯狂反扑，最终3比2险胜晋级。

2、台湾地区前领导人马英九：我不希望台湾成为第二个香港！

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。

3、打得菜还玩得花！韦德儿子不争气，突然被捕了！

图：百忧解化学式 2003年，迪马基最终选择离开工作了22年的礼来，转而去成为连续创业者。

4、Ralph Lauren是彻底好起来了呢～

赛后，球迷的吐槽声在各大社交平台炸开了锅。

5、福利金来了！

把分散的环节组织成这个结果，才叫算力服务。

低门槛、轻松回本、总部扶持，依然有人看完心动，拿出几十万元入场。

两支球队都是本届赛事的夺冠热门，这场半决赛也被外界视为“提前上演的决赛”。

6、南阳师范学院新闻与传播学院开展“薪火传文脉·青春记录校史”暑期“三下乡”社会实践活动

若米兰、罗马和科莫3队同积71分，那么米兰在此小联赛积分榜积8分排名第1；罗马积4分，直接交锋净胜球-1，排名第2；科莫积4分，直接交锋净胜球-2；米兰和罗马晋级。

同样效力莱比锡、同样进入各队雷达的还有安东尼奥·努萨。

7、四预警齐发，台风“红霞”将在粤闽一带沿海登陆

穆萨的优势在于多功能性，他可以胜任中场多个位置，甚至能客串边翼卫，这对加图索的球队来说是一个实用的补充。

在筛查层面，提升合成筛查鲁棒性，现有机制需增强对AI辅助分片策略的识别能力，推动ISO 20688等国际标准落地，发展兼顾隐私与安全的筛查方案并加强信息共享。

8、随着中国女篮68-69加拿大出局, 诞生3大不可思议 还有3个不争事实

车企有成熟的智驾预算，付费意愿强，数据也容易获取。

Alpha是“市场错配”，凸性是“判断正确，收益可能很大；判断错误，损失能被限定”。

此时最容易出现大幅盈利，也最容易把已经兑现的收益错认成仍然存在凸性。

9、汤尤杯｜多重颜色写就团魂，战袍诠释赛场美学

竞技层面，两队晋级之路各有千秋。

2026年7月18日晚，中超第19轮迎来一场焦点卡位战，大连英博坐镇梭鱼湾球场迎战山东泰山。

10、浙江队CBA新赛季主教练出炉！

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。

这一局面让巴萨方面更加笃定，他们为阿尔瓦雷斯开出的报价，最终可能足够把人带走。

1、1979年，任仲夷为张志新平反，华国锋却不表态，任：按省委决定办

奥亚萨瓦尔不久迎来第一次射门机会，但西班牙这第二脚射正，依然直直送入埃米·马丁内斯怀中。

2、16中4场均5.8分！曾被视为救世主的他遭球队嫌弃，离队成定局？

由此，评估形成了从智能体方案生成、计算校验到湿实验物理验证的闭环证据链。

3、中国男篮vs喀麦隆前瞻：庞峥麟领衔后卫国手有望大战NBA现役球员

俱乐部打算在这个夏窗和接下来的冬窗集中补强阵容，相当于把原本可能分散在多个转会期的引援工作提前了。绵里藏针，申旻埈LG杯首回合不露声色半目胜王星昊，先拔头筹当然，热闹背后也有隐忧。

4、联想贵州公司8分钟完成开办登记 正式落户贵阳高新区

加拿大压出来攻，身后空间就大，正好给南非的反击留下空间；加拿大不压出来，南非就跟你耗，反正我也不着急。

5、亚马逊AGI团队被曝裁员！

这一变化正传导到国内市场。

6、1981年邱会作保外就医后生活艰难，妻子回忆：买块肉要分成11份吃

最大的隐忧是中锋努涅斯，由于本泽马加盟利雅得新月后被挤出大名单，近3个月缺乏正式比赛，比赛状态和射门感觉都需要时间找回。

据悉，枪手近期接触了莱比锡，询问19岁边锋扬·迪奥曼德的情况。

同时，公司的领导者也在将相当一部分时间和精力花费在公司文化的维护上，让顶尖研究者在长期不确定的技术探索中能保持协作。

7、赛后拒绝握手，朝鲜U20女足全场围攻，日本队1次打门就进夺亚洲杯

他认为，眼下这支英格兰队展现出的强度，和英超俱乐部相比有明显差距。

在现有的冠军版图中，那些未能登顶的传统豪强，正经历着漫长的等待与煎熬。

8、朱芳雨离队原因出炉，接班人已经到位，张皓嘉被摆上货架，徐杰也有可能离开

西班牙俨然成了法国足球挥之不去的梦魇，而这场0:2的完败，绝非偶然的运气不佳，而是法国队在阵容结构、战术体系以及核心球员缺失等多重因素交织下的系统性崩盘。

3月，阶梯医疗宣布完成5亿元战略融资，由阿里巴巴领投，国投创合跟投，腾讯、启明创投、源码资本、上海国投先导等老股东集体加注。

进入淘汰赛后，比利时的状态开始逆势上扬，1/16决赛对阵塞内加尔，球队一度两球落后，最终在常规时间尾声连扳两球，加时赛完成3-2的惊天逆转。

在经历了多年转会市场的混乱和失误后，红黑军团终于迎来了真正专业的经理人。