特斯拉Q2净利润11.72亿，同比-16%。

1、乐鱼电竞 这种人在同行之间极度稀缺，只能硬挖，挖不来就偷、抢。

在日前的新闻发布会上，葡萄牙人明确指出需要秋裤这种具备一对一爆破能力的球员，阿莫林十分看重其在狭小空间内的突破能力。乐鱼电竞亚马尔把这句话变成了笑话。

2、征服或和解——兰马精英女跑者的亚高原闪耀之旅

过去，完成一首歌，从作词、作曲，到编曲、混音，再到录制演唱，每一个环节都需要专业能力。

3、暴露罕见的BUG，石洵瑶美国大满贯3-2险胜萨马拉，解题能力堪忧

他还明确提出了率队重返欧战的宏愿："这是一个目标，但实现目标需要做对很多事情。

4、媒体人：中国男篮调整热身赛时间是为了方便留洋球员归来参赛

对此，OpenAI已否认全部指控。

5、雷克萨斯ES补上电动化最大短板 搭载丰田全新软件平台

阵容老龄化严重，首发阵容中超过30岁的球员达到7人。

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。

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。

6、夺冠后全队没狂欢，教练一句更衣室提问，看哭多少人19日的美加墨世界杯决赛结束那一刻，比分牌定格在1:0

据资料记载，在亚马尔刚出生不久时，梅西曾在巴萨的俱乐部活动中抱起年幼的他，甚至为他洗过澡。

但不可否认，圈层里一直有截然不同的声音。

7、利物浦19岁中卫纳洛租借加盟HJK赫尔辛基 一线队首秀仅4分钟就被罚下

消息迅速发酵，“世界模型第一股”“年内赴港IPO”等说法接踵而来。

财报发出后，谷歌确实交出了超预期的成绩单，资本开支指引不降反升，但股价仍然下跌。

8、比尔·西蒙斯试图游说勒布朗·詹姆斯的经纪人，促成加盟勇士队

西班牙1比0击败阿根廷，捧起自2010年南非世界杯以来的第二座大力神杯。

他公开确认，国际足联将在本届世界杯结束后，正式研讨将世界杯参赛队伍进一步扩充至64支球队的可行性。

国家队三连杀：半决赛的“法国终结者”（3胜0负） 在国家队层面，亚马尔对姆巴佩的压制更为彻底。

9、追梦：失去多尔特对雷霆是重大损失 他是最出色的防守球员之一

他们场均控球率达到65%，场均传球620次，传球成功率91.2%，三项数据均位列本届赛事前列。

贾斯特将与国家队队友马尔科·斯塔梅尼奇在俱乐部重聚，两人此前一同代表新西兰征战了世界杯。

10、中国为何不举办世界杯？分析，有5大主要原因

特朗普与桑切斯、西班牙国王费利佩六世在大都会球场的主席台上同席而坐。

米兰本次夏季友谊赛安排的相当紧凑，不仅比赛数量多，还免不了多次长途跋涉。

1、正式确定！CBA明星后卫完成签约，留在浙江男篮

7月13日，NEO系统获批后的首例商业化临床手术在上海华山医院完成，术中采集的硬膜外脑电信号稳定、质量良好。

2、埃及学者：重塑中东安全需要新的破局之路

本届世界杯，克罗地亚的定位球进球占比达到40%，是球队重要的得分手段。

3、阿迪达斯发布全新 CODECHAOS 27 旗舰无钉高尔夫球鞋

最近，全网都在帮量贩零食算账。日本队长：我们比巴西强 日媒：小心被巴西拖入点球大战随后，SELECT研究证明，司美格鲁肽可将超重或肥胖患者的心血管事件风险降低20%。

4、惊天大逆转!总决赛纳达尔决胜盘1-5救赛点胜"总理"

这位年仅19岁的科特迪瓦边锋，此前在莱比锡红牛已度过一个赛季的高光表现（12球8助攻），而世界杯让他的形象和身价进一步飙升。

5、德明利发布首颗企业级主控H3361：兼容SATA/NVMe协议，适配数据中心多元部署

用户在平台上看到一个模型，不必自己建模，也不必反复调参，可以直接把任务发送到设备。

6、16+10！13+1！一场总决赛2人打出身价，“马刺库里”大合同或稳了

双后腰莱尔马和普埃尔塔防守硬朗，很好地保护了中卫身前的区域。

这种团队化管理模式在意甲联赛属于首创。

至于背后那几百天的苦功，它不在乎。

7、字节两员离职大将，单挑老东家？

执教曼城期间，他率队斩获6座英超冠军、3座足总杯及1座欧冠奖杯，建立了辉煌的蓝色王朝。

南非主帅布鲁克斯主打4-2-3-1体系，中场与后防线站位紧密，双后腰组成拦截屏障，边后卫基本不压上，整体防线回收很深。

8、顶薪合同到期！北京首钢全力续约单场29+8王牌后卫，李楠力排众议

“如果 Token 成本长期占到收入的 80%，企业就很难形成自己的产品壁垒，更像是在转售模型能力。

FSD、Dojo超算、Optimus机器人三台巨型焚化炉同时开火，而且这次没有退出键。

哈维与伊劳拉先后拒绝了主教练的职位，贝尔吉里斯坦也明确对体育总监一职说了不。

而那片土壤，在漫长的等待后终于出现了。