当飞轮转起来之后，“没得选”一点点变成了“愿意选”。

1、米6体育 靠着这套逻辑，这家机构已经投出了足球游戏公司Sorare、智能健康戒指Oura等多家独角兽项目，格列兹曼与英格兰球员埃里克·戴尔等约40位运动员一同成为这家机构的出资人。

这注定将被列为史上最差之一的世界杯决赛，场上缺乏激情固然难辞其咎，但这远不是第一场踢得乏味的决赛。米6体育科特迪瓦则走铁血防守加双翼齐飞的路线。

2、被曝光的网红“古法护肤品”确含违禁成分 医生提醒：纯中药、天然不等于绝对安全

将技术优势转化为可负担的商业价值，这是C端AI创业者必须跨越的死亡之谷。

3、极致捡漏！湖人放弃库明加，300万白菜价拿下优质全能锋线！

球队具备较强的地面传控能力，面对实力相当的对手时能够掌控球权，同时前场球员速度快、技术好，反击效率高。

4、开拓者官宣杨瀚森复出！今日11点战森林狼 此前因身体不适休战一场

26岁的阿尔瓦雷斯此前在世界杯期间向记者透露，他希望离开马竞，去争取最高荣誉。

5、很多中暑是在家闷出来的！医生：不爱开空调的老人尤其注意

西班牙以5胜1平的战绩晋级四强，六场比赛打入11球仅失1球，场均失球0.17个为四强最低，一度创造了649分钟的零封纪录，直到1/4决赛对阵比利时才被打破。

嘉年华游戏的另一个作用是，它让游客之间自然而然地产生关联，不再是孤立的个体，而成为彼此的玩伴。

AI应用正在从聊天交互向智能体任务进化，单智能体的Token消耗可达传统对话应用的百倍至千倍级。

6、2场轰44分+8次抢断！火箭选秀一箭双雕？解放阿门+谢泼德，提升防守和投射

俱乐部官方宣布，31岁的阿森纳前锋莱安德罗·特罗萨德正式加盟，转会费为1800万欧元固定金额加200万欧元浮动条款，双方签约至2029年，年薪达650万欧元。

Perplexity成立于2022年，由前OpenAI、前谷歌DeepMind工程师创立，主打“对话式搜索”，2025年9月完成2亿美元融资，估值约200亿美元。

7、豪掷 5100 万！曼联终极抢人！锁定巴黎全能世界级中场

另据罗马诺消息，即便不能加盟水晶宫，伊劳拉也希望尝试留在英超。

”红熊AI执行总裁杨晓煜也在圆桌讨论上这样强调。

8、4年底薪+1年底薪！火箭队再签2人，锋线位置7人齐聚，5人轮换成型

年少成名带来的冠军既是王冠，也是枷锁。

他在莱切效力过，对意甲联赛有一定了解，适应起来问题不大。

因此阿根廷的进攻主要靠梅西推进，两个边路进攻和防守都是短板。

9、皇马关注的2名中场遭曼联、热刺、利物浦、曼城、巴黎等豪门哄抢

于是，拓竹第一代产品把摄像头、激光雷达、重力感应等传感器放进机器，重新设计元器件和软件，自研运动控制算法，让喷头在高速运动中保持更稳定的精度。

哥伦比亚的控球和传球能力，可能会让加纳的防守疲于奔命。

10、腾讯被说"AI慢了"三年后，微信开放AI生态：这可能是中国AI下半场最难复制的底牌

对此，Vaibhav Taneja 列了三个叠加因素：2.4 亿美元质保计提，对应早期交付储能设备的电芯故障问题；一季度超 2 亿美元关税优惠二季度不再延续；工业储能赛道竞争加剧，产品均价下行。

2026年世界杯决赛，在足球层面的东西几乎不值一提。

1、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

2026年不是锂电池行业的一个普通年份。

2、慢性肾病合并高尿酸，降尿酸药如何选？

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。

3、梅西无缘最有价值球员阿根廷官方怒了：FIFA的评选终究是一场笑话

瑞士队（第十四，升5位）凭借闯入八强的出色战绩大幅跃升，挪威队（第十九，升12位）同样杀入四分之一决赛，排名飙升12位，进步最为显著。申花强援确定回归俱乐部！已为此发文告别老东家，引发热议尽管传闻愈演愈烈，巴萨追逐阿尔瓦雷斯的策略并未因此改变。

4、从今天起，好好刷牙，努力远离“癌王”！

贝林厄姆同样状态回暖，在经历伦敦诊所的康复治疗后，他彻底摆脱伤病困扰，重拾快乐足球，目前已贡献4球。

5、莱昂纳德重回多伦多！快船猛龙达成1换7交易 莺歌迪克奔赴洛城

前十五分钟，西班牙控球率达到68%，如实反映着比赛走势。

6、有时候，最好的治疗是减少治疗

法国vs西班牙，比赛看点如下： 第一：两队情况！法国世界排名第一，球队总身价15.2亿欧元，本届世界杯最贵球队，平均年龄26.6岁，来自五大联赛的球员共有24人；西班牙世界排名第三，球队总身价12.2亿欧元，本届世界杯第三贵球队，平均年龄26.2岁，全队球员均来自五大联赛。

从技术特点来看，亚沙里确实具备接班莫德里奇的底层能力，双脚都能完成高质量的短传和长传转移，原地摆脱逼抢的动作速率不错，视野也够用，但他的问题在于节奏。

尤文图斯典型的例子包括库普梅纳斯和道格拉斯·路易斯，两人花费近1.1亿欧元，还有尼科·冈萨雷斯、劳埃德·凯利以及奥蓬达，后者本赛季34场比赛只打入2球，租借费略超300万欧元，强制买断费4000万欧元。

7、站着死！佛得角两度落后两度扳平 加时2比3阿根廷止步世界杯32强

为阶跃星辰站台的阵容颇有深意：终端总裁倪嘉悦出身荣耀，整机制造交给ODM厂商华勤，其此前最大一轮25亿美元新融资的股东名单里躺着腾讯和一众消费电子产业链公司。

世界杯正赛仅在1966年有过一次碰面，当时阿根廷2-1击败西班牙。

8、朝阳区奥运村街道2026陆地冰壶联赛开赛

即便如此，整套装修仍然花了接近20万元。

今年夏窗，管理层势必要补强锋线，而已经预签下的科斯蒂奇也让球迷无限遐想。

纵观本赛季的格局，成都蓉城与重庆铜梁龙牢牢占据积分榜前两位，成为了中超赛场上最耀眼的“川渝双雄”。

摩洛哥同样以2胜1平积7分的战绩出线，因净胜球劣势屈居C组第二。