美国总统特朗普随即威胁称，若胡塞武装再次袭击沙特船只，美国将追究伊朗责任，并对伊朗及胡塞武装施以“重大军事惩罚”。

1、滚球app 过去两年，AI基础设施的话题几乎都被GPU、HBM和网络带宽占据，核心是让模型训练得更快，随着AI大规模落地，智能体走向真实业务场景，模型上下文越来越长，数据需要同时满足存下来、管理好，还要支持随时调用。

那天早上，周远在上班的地铁上刷到了这条新闻。滚球app于是，一个部件层面高度繁荣的市场，滋生了大量尴尬的中间状态：有资源，但不好用；有平台，但控制不了资源；有客户，但解决不了应用问题。

2、评论丨菲尔兹奖“双响”后，更该听听王虹的“做不出来”

德尚认为，西班牙对传球路线的预判和拦截能力，是法国队无法建立进攻节奏的关键原因。

3、韩旭李月汝合仅6+3！WNBA中国德比凸显女篮尴尬 最强点泡沫被戳破

接下来，姆巴佩将在三四名决赛后返回皇马。

4、月流水上千万元？Token中转站是一门怎样的生意

2015年加盟林茨，在那里执教4年时间，率队从二级联赛一路走到2019年距全国冠军仅一步之遥。

5、深度长文：宇宙无声，文明孤行！（近10000字）

安全声明：本次评估严格遵循负责任披露原则，不展示制造危险物质的方法。

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。

从一家自动驾驶世界模型公司，变成一家同时做模型、数据平台、工业机器人和家庭机器人的“物理AGI公司”，极佳视界只用了三年。

6、靠申京绝杀转逃出生天，比赛是赢了没错，但勇士的确天克火箭

为了满足阿莫林3421体系，AC米兰管理层正在转会市场加速寻找一名左脚前腰。

测评结果在媒体和开发者社区内都引起了广泛讨论。

7、别再被营销忽悠！一文读懂AWD和4WD的真正区别

目前托莫里合同仅剩一年，今夏是俱乐部避免其自由离队的最后套现机会。

他们的防守组织严密，纪律性强，小组赛仅丢1球就是最好的证明。

8、日本公开赛：“凤凰”混双夺冠，女双决赛现极致“爆分”

在这个赛道的抢人大战，已经达到了疯狂的程度。

"梅西说 这场较量的大背景，是英阿两国围绕南大西洋马尔维纳斯群岛持续至今的主权争议。

更为关键的是，布雷默合同中存在一条5800万欧元的解约条款，有效期至8月10日。

9、马来西亚大师赛：李诗沣卫冕，国羽两对新组合夺冠

2018年揭幕战，万达选送的贵州丹寨6名少年担任护旗手，第一次让中国孩子站上了世界杯开幕式的草坪，这也是当年世界杯最出圈的中国元素之一。

这种史诗级的叙事，是任何俱乐部荣誉都无法比拟的。

10、又打脸杜锋！崔永熙复苏扣篮+关键三分 王少杰也该进国家队？

这场比赛大概率不会出现大比分，比利时将主导进攻，而塞内加尔会耐心寻找反击机会。

身价照进现实：四强门槛与唯一的“出局者” 在48队参赛的庞大版图中，本届世界杯仅有4支球队的全队总身价超过了10亿欧元。

1、每天4点起床，5点出门跑步，他的全马成绩242！

西班牙的传控体系成熟，中场控制力强，年轻球员体能充沛，末段绝杀能力突出，但防线面对顶级速度冲击时也存在隐患，亚马尔的终结效率有待提升。

2、学会用比赛准备比赛

2011年和2013年，再普乐与欣百达专利先后到期，这一次礼来管理层没能延续之前的奇迹。

3、Stein：58号秀小雅龙-皮埃尔与新奥尔良鹈鹕达成双向合同

国产乙游的核心竞争力，从来不是精致建模，而是长期陪伴构建的专属情感羁绊。以军称准备在约旦河西岸发动大规模军事行动这10名闪耀在世界杯决赛赛场上的马竞球员，不仅是俱乐部实力的最佳名片，更是对马竞多年来深耕青训与团队建设的最高褒奖。

4、广东男篮最新消息！胡明轩恢复良好，杜润旺或无缘续约，徐昕有望提前回归

以上8名球员累计为米兰带来1.018亿欧元的财政收入，这也打破了俱乐部尘封20多年的卖人纪录，并且在2026年6月30日前可能还会有新的交易产生。

5、北京越野发布豪华品牌泰钽，首款车型预售价29.98万元起

当前米兰和国米的差距不止体现在4年55分的竞技层面，管理层面上也体现出外行和内行的差距。

6、小米17T系列新机发布，售价2999元起

挪威典型的北欧球队，但他们有着矮个子边锋攻击群，因此进攻也有传控和脚下，甚至是具备的小快灵搭档高人哈兰德。

拉什福德上赛季租借效力巴塞罗那，各项赛事出战49场，交出14球11次助攻的成绩单。

于是，周远不再只问“公司能增长多少”，而是追踪一组更接近凸性来源的指标：续约率是否稳定，新增收入的边际成本是否下降，毛利率是否提升，销售费用的回收周期是否缩短，现金储备能否支撑公司走过亏损期。

7、孟加拉国总统楚普辞职

这就是负凸性：平时赚钱容易，黑天鹅一旦来临可能把此前收益连同本金一起还给市场。

Kimi K3正是这套逻辑在中国市场的一次有效验证。

8、零跑破8万、蔚来超理想，硬仗6月才开始

" 萨利巴的背伤无疑让阿尔特塔忧心忡忡。

美国可以限制设备出口，可以拉长零部件清单，可以把更多中国企业列入实体清单。

从《德国转会市场》给出的数据看，米兰、尤文等意甲豪门在近两年的转会费支出还是相当大的。

到7月23日，电碳均价报14.55万元/吨。