托莫里确实倾向于重返英超赛场，埃弗顿、利兹联及富勒姆等俱乐部均在考察之列。

1、乐鱼APP 坚持打大打恶打重点，提高监管执法质效，依法严查严处财务造假、内幕交易、操纵市场等违法违规行为，加强新型业务监管，推进人工智能在监管中的应用。

41岁的C罗虽然精神可嘉，但在体能和爆发力衰退的情况下，他的存在反而限制了球队进攻的多样性，导致中前场球员功能重叠。乐鱼APP相比之下，克罗地亚的阵容星光稍显黯淡，总身价约3.87亿欧元，世界排名第13位。

2、当Dior进行一场多元的材质维度实验

主帅德拉富恩特与全体队员逐一登台亮相，每人伴着自选曲目与全场高歌，身上穿着印有"我们是冠军"字样的T恤。

3、业绩暴增966%！千亿赣锋锂业，周期“劫”还未结束

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。

4、金球给了罗德里，梅西的8球4助算什么？FIFA该给个说法了

而全年的Capex指引，更是被提高到了超过250亿美元，并将在未来两三年继续增长。

5、山西男篮大手笔签约！绝杀勇士悍将驰骋加盟，誉为高阶版弗雷戴特

DeepSeek在DeepSeek-V4的发布稿中引用了荀子的名言：“不诱于誉，不恐于诽，率道而行，端然正己”，用来形容对自身目标的坚守。

由于世界杯激战正酣，绝大多数在转会市场炙手可热的球员都无暇考虑自己的未来，俱乐部还有时间来确定管理层人选，夏窗开启前的这两周至关重要。

在官宣签下科特迪瓦边锋巴祖马纳·图雷之后，这家英格兰球会把目光投向了瑞士新星约翰·曼赞比 效力弗赖堡的这位中场，凭借小组赛阶段三球两助攻的出色发挥，敲响了通往英超的大门。

6、从“人防”到“人机协同” AI重塑金融风控新范式

Fluence与美国两大云厂商签订12GW潜在储能项目储备。

决赛前瞻：技术流与铁血防守的碰撞 北京时间7月20日凌晨3点，西班牙与阿根廷的巅峰对决将在纽约打响。

7、《目瑙纵歌》火爆出圈！一招一式，尽显力量与野性之美

美国的亚特兰大之夜，三狮军团在1比0领先的大好局面下，被阿根廷人终场前连灌两球，恩佐·费尔南德斯和替补登场的劳塔罗·马丁内斯联手完成了逆转。

资金也在飞速涌入：据IT桔子数据，2024年国内脑机接口领域发生了25起融资，金额约为10.6亿元；2025年增至49起、27.23亿元；而2026年仅上半年融资就超过了60起，金额突破了70亿元。

8、手机网易网

然而积极的业绩面并未阻止股价下行。

事实上，很多国资也明白即便诉讼，也拿不到钱，但诉讼又是必须的标准动作。

这种“从人出发、以终为始”的产品哲学，使得技术迭代始终围绕真实场景展开，而非陷入单纯的技术竞赛。

9、前瞻

据21世纪经济报道，DeepSeek 已启动 IPO 筹备工作，计划最快于年底或2027年初正式提交上市申请，投前估值约710亿美元。

一方面，法兰克福向他施加了巨大压力，希望这位功勋总监能够留任继续带领球队前进；另一方面，米兰目前的管理层架构和建队思路也让这位德国经理人产生了顾虑，他与朗尼克的要求一样，需要对转会市场100%的掌控权，显然该条件无法得到满足。

10、L卡口新成员，唯卓仕AF16/1.8装上松下相机啦～

目前尤文是托莫里最可能的下家，新任总监马萨拉正在推动转会，不过前提是布雷默离队。

莫德里奇的这次受伤恰逢米兰冲击欧冠名额的关键时期，目前红黑军团排名意甲第3，距离第5名的科莫和第6名的罗马有6分优势，在联赛还剩4轮的情况下，他们必须再拿到6分才能确保上岸（米兰与科莫和罗马的相互胜负关系均占优，因此同分情况下排名靠前）。

1、字母哥：我无需向詹姆斯推销什么

这不仅是一次简单的帅位更迭，更是齐达内一段漫长等待后的圆满，成为高卢雄鸡的新帅。

2、【WCBA联赛】第九轮｜浙江稠州银行78-81憾负山东赤水河酒

澳大利亚2-0击败土耳其的比赛则是防守反击的教科书。

3、梅西泪洒赛场连刷进球纪录，世界杯8强正式出炉

德明利股价自7月15日至20日连续4个交易日跌停，7月22日再度跌停。湖人90-108惨败雷霆！老詹历史第1 鸭梨汗都没出 一战看清5个现实同月21日，公司就公告向淄博瑞光提供3000万元的财务资助，期限1年，年利率3.58%。

4、特雷-杨：续约表明球队相信我 不会和戴维斯聊续约的事情

“但这招，防得了君子，防不住小人。

5、安切洛蒂正式拒绝意大利队执教邀请 留巴西队至2030年

变化首先发生在国内市场。

6、公牛惨负爵士：4号秀19+8+5帽炸裂隔扣 将亚历山大撞重伤退赛

在比赛中，葡萄牙经常陷入“无效控球”的泥沼，看似占据绝对的控球率，却缺乏能够撕裂对手防线的纵向传递。

这是一场不折不扣的“矛与盾”之争，也可能成为40岁传奇莫德里奇的世界杯终章。

与此同时，车型结构也在向低价集中——48.01 万辆的交付量中，Model 3 和 Model Y 占到 46.78 万辆，比例超过 97%。

7、39天1000亿，美国人如何爆改世界杯

8年融资11轮后买“壳” 接盘方太洋科技，是国内军工材料赛道的隐形龙头。

除此之外，定价机制的缺陷，也曾让公司承受巨额亏损。

8、第5冠，张雪机车夺捷克站第二回合冠军，夺冠过程令对手绝望

一段编码炭疽毒素的序列和一段编码胰岛素的序列，在合成机器眼里都只是ATCG的排列组合。

梅西让阿根廷变强，而C罗让葡萄牙变弱。

TPU 又被推到台前，原因是推理成本 大模型训练依然昂贵，但训练是一段相对集中的投入，推理则是一笔持续发生的成本账。

但这个夏天，热刺疯了。