在汽车场景中验证世界模型 早期的极佳视界，主要产品是自动驾驶世界模型DriveDreamer。

1、kaiyun官网 这不是谁的错，是真实的起点差异。

207场比赛，125粒进球，一座世界杯，两座美洲杯，一座欧美杯，以及一路走来数不清的曲折与起伏。kaiyun官网无论是欧冠决赛还是世界杯半决赛，奥利塞在面对顶级防守时屡屡“拉胯”，再次证明了他或许能在虐菜局中呼风唤雨，但真正的高端局依然缺乏破局能力。

2、山东掀翻联盟第一，拒绝27分大逆转，三外援发威，陈林坚是功臣

Anthropic的价值在于，证明了OpenAI之外仍然存在另种可能，为更多门徒指明了探索方向。

3、小县城相亲的完美闭环。

急于脱手的背后，是上市公司基本面的持续疲软。

4、国产ARPG《锦衣卫》线下试玩官宣 神秘角色COS空降

不久前，飞捷科思完成了Pre-A轮融资，累计数亿元人民币，投资方包括经纬创投、东方富海、沐曦股份、驰星创投、鼎峰科创、硅港资本、云启资本、常垒资本、长石资本等十余家机构。

5、马斯克一句话，一堆百亿公司豪赌“上天”

布莱顿和切尔西紧随其后，布莱顿连签武什科维奇、约翰纳、斯特鲁伊克等多名球员，切尔西则补进了帕莱斯特拉和昆达两名边路球员。

一个人在学会这些词之前，只是心情不好；学会以后，可能开始焦虑自己为什么还没有完成疗愈。

但足球世界的残酷在于，荣耀的保质期极短。

6、十倍存储牛股德明利：董事长承诺12个月内不减持！此前，该股十天六个跌停

”然而，当我们拨开情绪的迷雾，还原赛场真相时便会发现，这绝非所谓“球霸”的骄横，而是一位39岁老将在高压之下，为全队守住尊严底线的领袖担当。

现金流表不会说谎：当一项几乎零成本的收入从结构性存在变成结构性消失，利润与现金的同步萎缩就难以避免。

7、能否争冠？热火交易后首发阵容仍有缺陷 防守强悍进攻端难有保障

年报显示，截至2025年末，公司在建工程17.36亿元，同比增长233.44%，主要系报告期0元收购奇台县恒拓新能源发电有限公司，新增风电项目工程13.69亿元，期末工程进度91.24%。

莫德里奇与科瓦契奇的双后腰组合，在纯技术层面依然足以碾压同组任何对手。

8、千呼万唤的改革协议谈好了：减税、养老金、就业政策迎来重大调整

不少球迷直言：“山东泰山只输了两个已经是运气好了，全靠王大雷8次极限扑救在门前‘续命’。

阿德耶米和戈登还有一个共同的物理标签：速度。

以此为标尺，国内符合条件的主体屈指可数：少数具备系统工程能力的算力企业，以及手握网络、数据中心和政企服务体系的运营商。

9、典型的既要又要！就因为女生家里有钱？绍兴这个男生简直绝了....

如今，它是国内最全的半导体设备制造企业，也是全球半导体设备营收Top10中唯一的中国厂商。

比起耗时费力优化旧内容、打磨老剧情，全力打造全新角色、搭建全新叙事，既能快速制造热度，又能稳定收割流水。

10、融资结构变迁见证经济升级

在经历了3轮仅拿1分的惨淡战绩后，米兰终于在第37轮客场2-1战胜热那亚，这也让他们把争四主动权牢牢握在自己手中。

同时，他与凯恩也成为了世界杯历史上首对在同一届赛事中均打入至少6球的同队组合。

1、广东队面临拆散，朱芳雨追随杜锋重磅下课，最新总经理曝光

他全场受到严防死守，被刻意隔离开禁区，拿球机会也极为有限，几乎被完全限制住了。

2、外网当笑话看！上海的阿根廷球迷攻击+歧视西班牙黑人 被警方带走

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、2025年中国移动互联网流量报告

考虑到两队打平即可携手出线，且加拿大净胜球优势明显，双方未必会死磕到底，预测最终1-1握手言和。花旗：大宗商品下半年进入“高频黑天鹅”时代！这意味着，肥胖从来都不是什么“良性”疾病。

4、涉虚开千万发票！富德生命人寿旗下三级子公司被追究刑事责任

反过来，如果最大只有三倍，十次交易即使偶尔成功，也很难覆盖损失。

5、89岁谢贤去世！小49岁前女友换黑头像，评论区沦陷了

对于专业乐手，它是灵感催化剂；对于零基础爱好者，它是通往音乐世界的第一把钥匙。

6、中铁·云璟外滩：内环滨江低密优选，央企改善诚意之作

影石2015年成立后，先从欧美市场做起再转身国内；安克创新完成A股上市后，成立单独的中国团队；Plaud则在海外市场验证产品后，再上线国内市场。

比如，特斯拉Q2 整体毛利率为 16.8%，低于预期的 19.4%；其中，汽车毛利率为 16.9%，剔除碳排放积分后只有 16.3%，比一季度的 19.2% 下降近 3 个百分点。

尽管在世界人工智能大会期间，月之暗面曾披露已同步适配包括华为昇腾在内的国产芯片，但还是落后于DeepSeek、智谱等模型厂商的多元化动作。

7、杨瀚森结束NBA夏联后计划：留美继续个人特训 8月回归国家队打比赛

他们是一个糟糕的北约伙伴。

财报什么时候发布，临床数据什么时候公布，政策会议什么时候举行，都可以提前写在日程表上。

8、“枣阳皇桃”的甜蜜密码

黄金应声暴跌约2%。

没有对比就没有伤害。

” 行业对芯片的评判标准已发生转变，业界不再单纯追逐芯片峰值算力，单位Token成本、综合性价比成为关键。

” “太美妙了。