公司 2025 年业绩公告显示,全年产品收入下降 5% 至 3.814 亿美元,付费订阅用户增长超过 4% 至 309 万以上,年度活跃用户基本持平;管理层同时承认,对 2025 年公司总销售额缺少增长感到失望。
1、kaiyun官网 比赛中,法国队的中场完全失去了控制权,陷入了“想抢抢不着,要传也传不过去”的泥潭。
北京时间7月1日凌晨1点,2026美加墨世界杯1/16决赛迎来重磅对决,科特迪瓦对阵挪威。kaiyun官网2022-23赛季,伤病继续找上门。
2、“托”住底气 “创”出天地 玉门多措并举助推残疾人稳岗增收
恭喜法国队!在这场没有太多悬念的对决中,高卢雄鸡用一场酣畅淋漓的胜利宣告了卫冕的决心。

3、HBCU冠军队功勋教练组遭冷落,主教练火力全开发声“你不尊重我们的足球”
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。
4、U16国足主帅被足协官宣下课!曾带队战胜韩国,引发热议
联想作为本届世界杯最高层级的全球合作伙伴、官方独家技术服务商,天然就是这次"看球团"的东道主。
5、830名青少年齐聚酒城大“笔”拼!第五届青少年书画传习大会书画传习大赛总决赛在泸州开赛
截至目前,巴萨在估值问题上立场坚定。
克努森团队花了数年时间,终于在1997年成功研发出半衰期延长至12小时的利拉鲁肽。
据《独立报》报道,阿森纳主帅阿尔特塔对阿尔瓦雷斯欣赏已久,如今枪手正在加紧行动,希望补强锋线。
6、ECB公布2027灰烬杯完整赛程:男队6月18日特伦特桥揭幕,玫瑰碗首次承办
因为大厂本来就有入口、客户和场景,Coding可以成为把模型能力嵌进既有业务体系的新接口。
利润和客单价都不低,那么,开量贩式零食店,确定是一门好生意了吧?比如,选择一家零食店品牌加盟,肯定稳赚不赔? 事实并非如此。
7、不是周琦!不是杨瀚森!男篮“最强内线”易主,29岁成易建联接班人
明知有风险,为何偏要铤而走险? 早年《恋与制作人》时期,叠纸官方就曾推出特殊角色凌肖,试图开辟新情感叙事与氪点,结果遭遇玩家大规模抵制,最终只能妥协,放弃将其转正为可攻略男主,仅保留轻度支线互动。
卡迪纳莱亲自下场是米兰转会策略转向的核心原因。
8、中超再现奇景:北京国安进球被吹还被判点球,马宁太勇了!
NEO的注册临床试验由华山医院与宣武医院牵头、全国11家顶尖医院参与,78天完成全部32例患者入组与手术,术后3个月、6个月的抓握响应率均为100%。
马斯克说,业务扩张的唯一约束是安全标准,目前已在佛罗里达、得克萨斯多个城市及旧金山湾区运营。
据talkSPORT报道,为了压价,阿尔特塔可能会把哲凯赖什加入交易,作为冲抵部分转会费的人头筹码。
9、1973年本田CB350F无保留价拍卖,刚完成整车大翻新
品牌从一家咖啡馆逐渐发展成轻食简餐连锁,品牌产品线涵盖沙拉、意面、三明治、鲜榨果汁与精品咖啡等,持续引领都市健康餐饮风尚。
模型越多,用户越容易找到下一次启动机器的理由;参数越准,失败率越低;创作者越多,平台越能覆盖长尾需求。
10、德国6月电动车卖出84057辆 首超所有动力 混动仅差不足千辆
关键时刻,阿尔瓦雷斯打入一记精彩进球,劳塔罗·马丁内斯又在补时阶段破门,帮助潘帕斯雄鹰艰难过关。
主教练雅金为球队打造了4-2-3-1的成熟体系,防守端全员回撤压缩空间,进攻端依靠扎卡的长传调度和边路快速突击制造威胁。
1、80颗卫星+300战舰!美上将认栽,东风-17逼美军转打游击战?
这很大程度上取决于那不勒斯中场部分成员的离队情况,特别是安古伊萨和德布劳内,此外还有租将埃尔马斯。
2、世界杯红牌罪人被弃!切尔西砸 8000 万封神中场,替换亿元水货
综合来看,美国各方面全面占优,主场赢球的希望很大。
3、厄德高:“小队长”的梦想之旅
这笔交易的迅速达成,不仅宣告了红魔中场重建的关键一步,也让维拉面临核心流失的无奈局面。津门虎为何能爆冷战胜申花!助教赛后说出幕后最大功臣,引发热议法国vs英格兰,比赛看点如下: 第一:两队情况!法国世界排名第三,球队总身价15.2亿欧元,平均年龄26.6岁,五大联赛球员共有24人;英格兰世界排名第四,球队总身价13.6亿欧元,平均年龄13.6亿欧元,平均年龄26.6岁,五大联赛球员共有25人。
4、梅西世界杯决赛失利痛哭 连续两届闯进决赛或就此谢幕
特朗普将奖杯交到罗德里手中。
5、亚马尔评价C罗气场独一档:出场便能掌控全场氛围!这就是GOAT的魅力
回过头来看,拉菲尼亚从头到尾都没有动摇过。
6、CCTV5+直播京蓉大战!蒙哥马利PK约翰,斯帕伊奇+拉莫斯防死费利佩
当塔希提和新喀里多尼亚这样的球队都能借着扩军的东风触摸世界杯草皮时,中国男足最该认清的现实是:与其在别人的规则里计算概率,不如在自己的泥沼中踏实前行。
你看,这张表不是用来算分的,是用来倒逼你想清楚:这段实习,我到底要带走什么。
反复发作的脚踝问题引发了是否手术的讨论,但球员和俱乐部最终选择了保守治疗,力求避免手术。
7、60年的宿命回响,世界杯上最具话题的恩仇录即将上演
但谷歌在AI上并不是只有“坏消息”,几周前,据The Information报道,谷歌正在开发一款代号Frozen v2的服务器芯片,专为Gemini服务。
这不是预测,是把假设放进去、让结果自己跑出来的计算器。
8、大学橄榄球十大新星四分卫:The Athletic盘点2026赛季潜力股
英格兰人与俱乐部的合同截止到2027年,已经进入合同年。
克罗地亚缺乏强力的中路爆破点,佩里西奇在左路的传中是核心手段之一,但加纳防线最不怕的就是高空轰炸。
该公司深度绑定全球头部AI芯片厂商,高端GPU、CPU封装订单全年满载,同时HBM存储封装、车规芯片封装业务持续放量,高端业务占比不断提升,营收、净利润均稳步走高。
部分零食品牌招商视频的截图 今天打开短视频平台,仍然能看到各家零食品牌的招商广告。
用户马莱莱安慰马里奥,黄子豪敢出击了,大连两连客没压力,剑指主场战铁人 为中国“促统”,美国欧盟联手炮轰反对!台当局:两岸进入新阶段!赠送NBA内幕记者爆料:詹姆斯推迟决定,只为等欧文或浓眉被交易伤病掣肘、预算受限,拉莫斯于逆境坚守寻光
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用户广东男篮下赛季主教练人选的三种猜想 为世界杯四强出炉!英阿会师+法西大战!最新夺冠更新:法国领跑赠送环法总监强硬回击偏袒法国车手指控:我无权也不该知道谁被药检人气票
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用户《教育发展“十五五”规划》系列解读④:如何利用好人工智能这个“关键变量”? 为中国军校形象代言人亮相!赠送2027款丰田红杉新增Trailhunter越野版 内部升级大屏人气票
在这样的行情下,厂商要继续通过涨价转移上游成本,将有可能进一步抑制消费者的换机意愿,让原本就疲惫的需求继续萎缩,并最终导致出货规模和业绩利润两头承压的尴尬局面。我要发布>>
但巴萨眼下的重心不在他身上。我要发布>>
上一次,是2010年南非的约翰内斯堡,伊涅斯塔的绝杀为西班牙足球加冕。我要发布>>
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。我要发布>>
阿尔特塔的球队希望将这笔交易的成本控制在1亿英镑以内。我要发布>>
目前FIFA排名第10位,全队总身价约9.5亿欧元,是四届世界杯冠军得主。我要发布>>
而一旦承认这是市场化亏损并做坏账冲销,就需要层层审批,甚至要面临终身追责。我要发布>>
在他之前,英格兰国脚安东尼·戈登已经率先落笔,目前正享受延长假期,预计稍后归队报到。我要发布>>
“如果 Token 成本长期占到收入的 80%,企业就很难形成自己的产品壁垒,更像是在转售模型能力。我要发布>>
这也意味着,AI的学习素材将不再局限于文字、图片、视频等间接信息,而是可以直接通过神经信号理解人类的认知状态。我要发布>>