利物浦的伊萨克与阿森纳的约克雷斯组成的双子星，身价合计超过1.5亿欧元，个人能力在整个F组都属顶级。

1、亚娱体育 根据特斯拉的预计，其自由现金流预计持续为负直到2029 年。

算力和融资层面，35亿融资能烧一段时间，但跟大厂比还是小巫见大巫。亚娱体育当地时间周一晚间，新科世界杯冠军西班牙队乘坐敞篷大巴穿行马德里街头，展开了一场盛大的夺冠巡游。

2、凯西·伍德逆势加仓SpaceX：股价跌破发行价，ARK单日买入2050万美元

将订单中的DNA序列与已知的风险数据库进行匹配，这些数据库收录了各类病原体（如天花、鼠疫、埃博拉等）的完整或部分基因组，以及已知的毒素、毒力因子基因。

3、夏天裤子别总穿紧身的，试试这几款阔腿裤，百搭舒适又显瘦

“但这招，防得了君子，防不住小人。

4、相较于41岁C罗在赛场上书写传奇，魔笛的黯然离场更加让人心痛

企业客户购买的是持续可用的能力，而不是一时的榜单领先。

5、HWG！罗马诺宣卡里克签下中路新人，22岁巴西后腰从蓝桥转会红魔

财报会依然没有给出具体产量和正式搭载付费乘客的时间表。

但这些举措，只能让公司比同行撑得更久、抗风险能力更强，却无法走出独立的成长行情。

这位国家队历史最佳球员，或许将在未获出场机会的情况下，告别自己的国际赛场生涯。

6、朱炯首秀！广东双雄暗斗，亚泰鲲城东北德比，石家庄苏州保级对话

更重要的是，瑞士最近2场一直坐镇温哥华比赛，不需要长途奔波，而且全员健康没有伤病困扰，阵容完整性高。

预计该交易将在2026年第三季度末完成。

7、IP Guangdong上线一周年！八大计划粤你共赴新程

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。

哥伦比亚的技术优势和战术素养，可能会给加纳带来不小的麻烦。

8、央行：将在7月29日至7月31日每日开展6000亿元、8月3日开展3000亿元隔夜逆回购操作

但不可否认，圈层里一直有截然不同的声音。

球队主打4-2-3-1阵型，队长达瓦萨里是绝对核心，右后卫阿卜杜勒哈米德是唯一效力五大联赛的球员（法甲朗斯）。

梅西还没有老去，亚马尔刚度过19岁生日已经如日中天，已经成为姆巴佩的“天煞克星”。

9、英超本赛季各队奖金发布！凭什么？热刺险些降级 照样分1.3亿英镑

此外，他目前与吉达国民还有合同在身，因此米兰需要与这家沙特俱乐部进行谈判。

决赛中，梅西和阿尔瓦雷斯全场被牢牢限制，这很大程度上要归功于这位巴萨中卫，他单场贡献了六次解围，为全场最高。

10、阿森纳2-1马竞，挺进欧冠决赛！萨卡破门，静候大巴黎拜仁胜者

维尼修斯的4粒进球全部来自小组赛阶段，包括对摩洛哥、海地及苏格兰（梅开二度）的破门，但随着巴西队出局，他的进球数已定格。

好的凸性，不是来自筹码便宜，而是来自有利的生存条件。

1、半两财经｜“牵手”12天即“分手”，北京城建发展取消和住总联手拿地的背后

朋友转了一圈，发现实际只用了约50平方米的货柜板材，账单上却写着80平方米。

2、株洲这8家单位存在火灾隐患

时隔三年，米兰又一次把目光投向了这位日本中场。

3、被质疑“5A”身份造假，河南一景区回应

边路速度是最大武器，戴维斯和布坎南的轮番冲击往往能撕开对手防线。杨晨为何在北京打不上主力而却可以成为法兰克福主力前锋？但他从未真正赢得过稳定的首发位置，特别是球队换帅帕拉迪诺后，穆萨的出场时间被急剧压缩，最近8场比赛只替补出战14分钟。

4、纳指重挫超2.5%：中东局势恶化油价飙升，谷歌财报亮起成本红灯

值得注意的是，本次地平线机器人虽采用发新债置换存量贷款的债务调整方式，但公司账面现金储备丰厚，不存在流动性问题。

5、女星片场吃小药丸“抗疲劳”？医生警告

从商业层面来看，当下乙游的营收逻辑太过单一固化，几乎完全依赖固定男主的新卡池、新剧情拉动流水。

6、C罗再黑梅西！点赞反华机构“国际足联保送阿根廷”的谣言！

在战术层面上，这也是一场风格迥异的极致碰撞。

用户直接在吉他端生成专属音乐，进行即兴演奏，将从作曲到演奏的复杂过程大幅简化。

亿纬锂能龙泉四号60Ah全固态电芯已下线。

7、纽卡大胜西汉姆，热刺保级曙光初现！最后两轮仅需1分即可上岸！

加泰罗尼亚俱乐部上赛季一直在跟踪他的发展，今夏早些时候已与其团队初步接触，了解合同状况和球员本人的意愿。

如今，我们必须昂首面对这一切。

8、豫园竟藏着一座Q版“敦煌石窟”，九色鹿、鸣沙山、古丝绸之路在这里都能看到！

真正让Play Time出圈的，是它今年2月出手，参投了李飞飞创办的World Labs的10亿美元新一轮融资，与英伟达、AMD这样的科技巨头同列股东名单。

只有土超与沙特联对莱奥表现出更为具体的兴趣，加拉塔萨雷与利雅得新月均有意接洽。

Kimi K3的发布被寄予厚望，国产大模型在代码能力上对Claude的追赶，似乎只差“临门一脚”。

最让人意外的是曾经的青年队队长泽罗利，他没有得到夏训机会，将加入米兰未来队。