对国内模型厂商而言，DeepSeek无疑是令人艳羡的。
摘要：NVIDIA在2025年10月宣布800V直流供电架构，将柴油发电机和UPS逐步淘汰，储能系统直接串入配电网链路。
全年看，入门级产品出货量增长 26%，拓竹以 37% 的份额位居第一。
1、乐鱼体育 国资入主未果，火速觅得新接盘方 回溯这轮易主的前序，李氏家族卖壳的心思早已摆上台面。
全场比赛，摩洛哥仅仅只有1次射正，其余时间几乎都在疲于奔命地防守。乐鱼体育2026年初，谷歌发布Gemini Embedding 2，将文本、图像、音视频乃至PDF文档融合进统一向量空间，实现跨越五大模态的直接检索。
2、锁喉拳打西班牙球员！32岁阿根廷国脚获官方表彰 网友质疑：诈伤
欧洲冠军对阵美洲杯冠军，争夺世界冠军的头衔。
3、曝苹果Mac全线大换血，首款OLED触屏Mac产品或年底见
这位瑞士国脚同样受到亚特兰大的关注，新帅和体育总监琼托利都对他有好感，特别是琼托利在尤文图斯任职期间就想引进亚沙里。
4、山东泰山赵剑非南下深圳，从国青队长到泯然众人，27岁跳出舒适圈
因此，首先，建设新的能力尖峰是大厂和模型创业公司都在借鉴的一层。
5、走进史家胡同小学 以热爱点亮少年篮球梦！
近6场热身赛取得全胜战绩，打入11球仅失2球，其中5场零封对手。
戴维斯若能复出，加拿大左路威胁将大幅提升，但久疏战阵的状态存疑。
据塞尔电台记者桑蒂·奥瓦耶透露，巴萨方面仍有提升报价的空间，但前提是通过与表现挂钩的浮动条款来实现。
6、锐评：袁悦打法过时了？无缘美网资格赛的高鑫妤为何总差一口气？
在社交网络上，“图赫尔真的是追着凯恩杀”成为了最热门的调侃与控诉。
Q2谷歌云实现营收248亿美元，同比增长82%，依然是公司增长最快的业务板块，增长由GCP的企业AI解决方案、企业AI基础设施及核心GCP服务带动。
7、单场52分！曝又将交易！湖人出品的榜眼秀
这套机制是目前生物安全体系中，极少数能在“物理世界之前”主动拦截风险的技术防线。
目前看来，米兰寻锋主要会采取三种方式，不过受限于新的管理层和教练团队都还没有组建起来，部分目标已经开始远离。
8、一场114-109的逆转，让森林狼看到希望，马刺全队不服，雷霆笑了
法兰克福对乌尊的要价高达4500万欧元，这对任何俱乐部而言都是一笔不小的投资，但鉴于红鸟列出的巨额预算，米兰有希望最终胜出。
米兰对其估价约2000万欧元，与2024年夏窗2500万欧元引进他的成本价相比略有折扣，这个价格已经相当物美价廉。
在过往的5次世界杯交手中，英格兰队以3胜2负略占上风，但阿根廷人总能在最关键的淘汰赛中给予致命一击。
9、从F1®引擎轰鸣声到品牌主题曲： Sting唤能携手艾伦•沃克奏响F1®高能乐章
他迅速将资源向GLP-1倾斜，全力推进替尔泊肽的研发。
他们仿佛并未倾尽全力，便已牢牢掌控了比赛节奏。
10、山东泰山1-2憾负大连，中场崩盘，王梓丞补时破门，冲甲形势严峻
整体来看，加拿大的阵容年轻有活力，边路冲击力强，但阵容深度不够，替补席实力一般，大赛经验也相对欠缺。
瞄准这一需求变化，在中高端产品线站稳脚跟的华为，如今也在加速抢占千元机市场。
1、没想到，广西水灾不到一周，矢野浩二因一个举动，收获全网好评
5月底，AC米兰官方宣告首席执行官富拉尼、体育总监塔雷、主教练阿莱格里和技术总监蒙卡达卸任。
2、2换1换林葳？徐杰经纪人一句话辟谣，广东宏远非卖品名单曝光！
与姆巴佩形成完美呼应的，是状态爆棚的登贝莱。
3、休赛期广东队多名球员出国特训，杜锋去塞尔维亚学习战术_网易订阅
这些收入大部分来自Anthropic超过30万的企业客户。终于等到普京出手，乌不宣而战后，日本公布援助计划，俄4字回击首轮面对佛得角的五后卫密集防守，球队全场围攻却颗粒无收，暴露出慢热与攻坚效率波动的问题；次轮对阵沙特，德拉富恩特调整首发激活亚马尔，球队上半场30分钟内连入三球锁定胜局，最终4-0大胜，传控节奏与边路突破完全打透对手防线。
4、预测一只下半年的爆款包
但看着阿森纳球员们在世界杯上拖着疲惫的身体踢完最后一场比赛，你不得不担心：经过英超和欧冠的漫长消耗，他们油箱里还剩多少油？萨利巴伤了，赖斯彻底透支了，而萨卡的情况，经过世界杯最后那几周，谁也说不准。
5、跑圈防晒天花板！雪肌精xKeep联名挑战邀你“膜”力开跑
其中，《星夜奇遇》夜游主题活动中，不仅包含充满沉浸体验感和参与感的打卡、NPC互动，也有更加休闲湖滨音乐表演。
6、阿里被罚42亿，震惊全网！
全志科技预计2026年上半年归母净利润为4.75亿元—5.15亿元，同比增长194.73%—219.55%。
这是埃及队史首次闯入世界杯淘汰赛，而澳大利亚则是连续第二届晋级淘汰赛。
好在久保建英赛季贡献15球12助攻状态火热，堂安律、镰田大地在欧战表现出色，田中碧更是在英冠附加赛决赛打进制胜球，竞技状态正佳。
7、中国U17男篮68-78负立陶宛，最后30秒发生冲突，3名队员被驱逐
原本争四高枕无忧，现下却被众多对手纷纷赶上。
一方面，通用大模型的同质化日趋严重，单纯依赖模型API输出的产品难以建立用户黏性；另一方面，当AI从生产力工具向生活方方面面渗透的时候，技术必须嵌入具体场景，并解决真实痛点。
8、划时代升级！索尼FX5升级点前瞻
奥亚萨瓦尔不久迎来第一次射门机会，但西班牙这第二脚射正，依然直直送入埃米·马丁内斯怀中。
高通总裁兼CEO安蒙将这一变化概括为：用户的任务和使用体验会跟随智能体，在手机、PC、汽车和其他终端之间流动。
正因如此，除非收到一份天文数字的报价，否则他们决意不再失去另一名核心球员。
产能过剩对行业盈利能力的系统性压制仍在持续，龙头企业虽有余力，但全行业价格战和利润摊薄的压力并未解除。
绝境两度续命！山东泰山队2-2逼平武汉，点球4-3惊险晋级，刘洋头球救主，克雷桑加时绝平，于金永两连扑封神
央视报道：伊朗击毁12架美军战机，大批美军被转移，特朗普求帮手
不到48小时，乌军迎来大换将，还没坐稳位子，便将矛头直指了普京
广东队3消息：多支球队报价徐杰，杜锋高薪续约并支持徐昕留洋
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- 1 来源：中际旭创招股书 回望过去，中际旭创这几年的崛起速度十分惊人。
- 2 网下询价提供了现实的参照。
- 3 如今，一部分在满负荷排队，另一部分却在公开招商、以接近成本的价格寻找客户；与此同时，模型企业和科研机构仍在抱怨算力紧张。
- 4 不过萨索洛中场科内因伤报销，对加拿大打击很大。
- 5 据中科宇航介绍，力箭一号运载火箭聚焦微小卫星发射市场，匹配批量组网、快速补网等任务，提供吨级班车化发射服务，构建专车、拼车、顺风车发射服务体系。
- 6 对米兰而言，托莫里离队几乎已是既定方向。
- 7 防守端法国的问题不大，萨利巴和于帕梅卡诺的中卫组合兼具防空和回追能力。
- 8 与其等校招时血拼，不如大二大三就伸手锁定——用高薪提前买断你的"注意力"和"忠诚度"。
- 9 业绩爆发八成靠涨价，不靠市占率。
- 10 然而积极的业绩面并未阻止股价下行。
- 11 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。
- 12 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。
- 13 （本文作者 ｜ 张帅，编辑，杨林）Kimi和杨植麟正拿到了DeepSeek的「国运剧本」。
- 14 锋线上的路易斯·苏亚雷斯虽然不是顶级球星，但战术执行能力强，能很好地完成支点作用。
- 15 每个人都有自己的梦想、挑战、渴望的东西、想要达到的目标。
- 16 三年三大赛，半决赛的“法国终结者” 回顾这三场惊心动魄的半决赛，西班牙队展现出了极强的战术针对性和心理优势： 战术克制与心理阴影 连续三次在最高强度的淘汰赛中被同一对手击败，法国队面临的不仅是战术层面的困境，更是巨大的心理阴影。
- 17 德凯特拉雷自米兰加盟后也重获新生，免签的科拉希纳茨则迅速成为防线领袖。
- 18 勤笑公表示：“我认为我已经给了米兰我能给予的一切。
- 19 俱乐部同时也开始准备备选方案，以防无法如愿签下这位阿根廷球星。
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