而苏州旭创资产规模是中际装备的四倍多，营收是它的十几倍。

1、星空体彩 阿根廷小组赛顺风顺水，三战全胜打进8球仅失1球，以头名轻松出线。

智能体需要储存、需要知识库、需要上下文缓存、需要处理海量数据，而所有这些需求，都在指向同一个答案：超节点。星空体彩而AI行业自身，历经无数个技术风口与舆论喧嚣后，正在告别虚无的“算力军备竞赛”，大模型的商业价值，也在垂直场景中真正兑现。

2、马栅村血案二审结果出炉，凶手一直想以自首逃避死刑

四分之一决赛比利时遭受的打击更为致命。

3、诺和诺德申请初步禁令禁播礼来广告，指控对比不当、宣称未经证实；礼来：科学为据

此后一路下滑，最后只剩每月10万元左右。

4、上半年株洲进出口同比增长23.7%

防守端三中卫体系稳固，黄仁范与白昇浩构成双后腰屏障。

5、欧盟对俄第21轮制裁为四年来规模最大，涉218实体或个人：超100家银行和加密货币运营商、40多艘影子舰队舰艇、参与俄远程无人机生产企业等

只发现一个可能正确的结论并不够，还要知道什么催化剂会迫使市场承认，什么时候承认，以及自己仓位能不能活到那一天。

场景转换逻辑清晰，叙事完整。

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。

6、捶草地！抱头无奈！不敌南非后韩球员众生相，孙抱头无奈多人致歉

结语 十二年前，趣丸科技回答了一个问题：如何让喜欢玩游戏的人找到彼此？十二年后，它在回答另一个问题：如何让每一个普通人都有机会创造属于自己的作品、表达属于自己的热爱？ 当大家围绕“单点工具”或“通用平台”的常规路径狂卷不已的时候，趣丸科技以垂直整合为轴心，在AI音乐与AI语音交互两大阵地上，构建起一套“模型—应用—硬件”三位一体的闭环生态。

对于米兰来说，其实里奇水平完全可以满足轮换角色，本土青训的身份还有助于联赛和欧冠的报名，仅加盟一年就仓促套现，这将违背俱乐部的本土化策略。

7、海信构建“信任叙事”体育营销新标准，为中国品牌全球化树立可借鉴标杆

从业者还有一个疑问，如何平衡风险和国资属性？ 54号文在砍断“明股实债”的同时，也提出了建立“尽职免责与容错机制”。

到今年，这种横向扩张模式正遭遇边际效益递减。

8、2026世界杯含金量拉满：四强齐聚印证实力，梅罗分野戳破双骄幻象

在高强度的研发投入下，特斯拉Q2 研发费用为 23.71 亿美元，同比增长 49%。

模型接收视觉画面、语言指令和机器人状态，直接输出动作，让感知、理解和控制尽可能在一个模型中完成。

上赛季索博斯洛伊交出了一份堪称惊艳的成绩单：各项赛事出战53场，贡献13粒进球与12次助攻，成为自2013-14赛季杰拉德之后，首位单赛季进球助攻双双上双的利物浦中场。

9、图记｜“宛平思政月”沉浸式讲述卢沟桥抗战史

奥多贝尔和哈维·西蒙斯均因十字韧带伤势仍在恢复期，门将维卡里奥则因小伤缺席此次行程。

很多人听到一个月卖10万元，第一反应是：这生意也不算差。

10、拥有黄金一代仍耻辱出局！韩媒评无缘淘汰赛：没有奇迹，历史最差

考虑到米兰主帅阿莱格里与管理层高级顾问伊布关系紧张，不排除夏窗离队的可能。

具体来看，得州超级工厂已开始生产Cybercab，披露的安装年产能超过12.5万辆；弗里蒙特工厂关停了Model S/X旧产线，全线更换为Optimus组装设备，得州也在建设机器人专用厂房；得州Cortex 1和Cortex 2算力基地披露的安装算力分别超过90MW和115MW；奥斯汀晶圆厂也已推进建设和设备采购，目标是获得逻辑与存储芯片的长期供给能力。

1、“人老先老腿”，4个动作每天5分钟，膝盖舒服了，腿脚轻...

足球规则也挡不住他。

2、父亲为12岁女儿身高“投资”，每月花6000打生长激素

评估依次经过方案生成、程序化计算校验、受控湿实验以及电泳与测序确认，覆盖11个模型和4个失去有害功能良性代理构建体，最终以物理可执行性证据验证组装流程。

3、13投轰24分，火箭队落选秀爆发！3项数据全队第1，桑顿有对手了？

房价上涨很明显缺少工资增长支撑，大量浮动利率贷款可能在两年后重新定价。传控加冕与中场王座：斗牛士二星闪耀，罗德里铸就新王朝普通家庭不是这样。

4、夏天衬衫，真丝的更有质感！

Anthropic提供了一套模板 关于Anthropic的走红路径，并不是一个新鲜话题，但梳理这个话题是我们理解Anthropic门徒的基础前提。

5、高新区吾悦华府住宅问题

从纸面实力来看，两队差距悬殊。

6、4名巴勒斯坦人在约旦河西岸被以色列定居者打死

" 周日，鲍尔斯再次出现在看台上，为塞内西和阿根廷加油。

阿根廷小组赛顺风顺水，三战全胜打进8球仅失1球，以头名轻松出线。

过去几年时间，中国创投市场经历了严重的“国资依赖症”。

7、网传广西百色遭遇严重洪灾系谣言（2026·07·24）

市场疯狂的原因很简单，因为这台手机展示了一种前所未见的体验：AI拿到系统级权限之后，可以识别屏幕、自己打开应用，比价、点外卖、订机票一气呵成。

当前，AC米兰的真空期已经持续了1周时间，以伊布为首的管理层工作效率低下，截至目前对体育总监和主教练的选拔还没有太多进展。

8、收藏！暑期防溺水安全指南来了

以下分析基于各种渠道的信息、社交媒体上的碎片、以及各网站上转会信息的整合。

在这届大赛中，贾斯特为“全白队”打进三球，其中对阵伊朗的进球入围了赛事最佳进球候选。

前一个问题靠渠道、价格和产品力可以部分解决；后一个问题则取决于一个家庭、一个小商家、一个普通用户，在买下机器 30 天、90 天、甚至一年之后，还会不会再次按下“打印”。

最近一次交手是在2025年6月的欧国联决赛，两队常规时间2比2战平，葡萄牙通过点球大战击败西班牙夺冠。