今天，当人们惊叹于礼来万亿美元市值的时候，很少有人记得这家公司也曾因傲慢错失风口，也曾因路径依赖困顿多年。

1、ob体育 从16岁在欧洲杯半决赛轰入世界波，到19岁（7月13日刚过完生日）在世界杯半决赛将卫冕冠军挑落马下，亚马尔正在用一场场硬仗，书写属于自己的王权之路。

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。ob体育在阿莫林偏好的三中卫体系中，右脚中卫需要具备稳定的出球能力和对抗硬度，托莫里虽然爆发力出色，但其防守选择的不稳定性不符合新体系要求。

2、能不能做到？若阿根廷最终夺冠，他们将打破世界杯三大魔咒

很多客户一年采购的容量不止1EB，节省下来的成本非常可观，这也是他们越来越关注大容量硬盘的重要原因。

3、肿瘤科值班必备：10大症状应对清单

联合利华携“AI for Packaging”亮相2026 WAIC 近日，2026世界人工智能大会（WAIC）在上海正式召开。

4、违规电焊引燃厂房致3000万元损失，7人被判刑！

在墨西哥城阿兹特克体育场，球王马拉多纳成为了唯一的主角。

5、中俄妇女儿童家庭友好交流活动在哈尔滨举行——黑龙江省妇女儿童发展中心与俄罗斯全国公众运动“俄罗斯母亲”滨海边疆区分会签署合作协议

真正的考验从交付才开始：能不能找到足够多、结构足够合理的任务，把利用率维持在可持续的水平上。

此前一场访谈里，针对为何要储备充裕资本的提问，地平线机器人创始人余凯表示，“地平线花更多精力思考我们会死在什么地方。

如有疑问，欢迎联系923757147@qq.com。

6、王兴兴登上《时代》封面，回应“病毒式走红带来压力”

替代需要时间，良率、产能、产品线都要逐一匹配。

球队主打4-2-3-1阵型，队长达瓦萨里是绝对核心，右后卫阿卜杜勒哈米德是唯一效力五大联赛的球员（法甲朗斯）。

7、这3种不健康的早餐搭配，别再吃了！

俱乐部希望他通过训练和季前赛的表现赢得机会，循序渐进地完成向成年队足球的过渡。

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。

8、国乒新情报：乒超发布选手名单及赛程，王曼昱樊振东马龙许昕不参加_网易订阅

首轮对阵伊拉克，挪威控球率达到六成，13次射门5次射正就打入4球，进攻转化率相当可观。

但27岁的他，已经在三届大赛中展现了从“天才”到“领袖”的蜕变，他学会了包容队友、尊重对手，也懂得了足球世界里除了输赢，还有对体系的敬畏。

葡萄牙积4分排名第二，末轮打平就能出线，但如果输球，而刚果又赢了乌兹别克斯坦，那么两队同积4分，需要比较净胜球等数据，葡萄牙存在理论上的出局风险。

9、皇马已免费放走塞瓦略斯，将有大动作；曼城破纪录，1.16亿签新援

末轮荷兰对阵已出局的突尼斯，取胜几乎没有悬念，基本锁定小组第一。

看着这些画面，重温那段历史，对我们有帮助。

10、于远伟当选2025华润饮料中乙联赛10月最佳教练

刘圣认为：每一代产品迭代都会有新企业起来、老企业离场。

第二个，HBM。

1、冲着品牌下单结果经销商“跑路”，济南多位业主遭遇“钱货两空”

阿森纳正打算借这股东风，加速推进对马德里竞技前锋胡利安·阿尔瓦雷斯的追逐。

2、老人孩子都爱的「养生藕粉」，是滋补极品，还是升级淀粉糊？

这段珍贵的画面成为了两人羁绊的起点。

3、扬州队VS徐州队：开赛倒计时，福利先 “破门”！

目前日本队场均失球仅0.33个，防守体系十分稳固。这位顶流的美商绝了！我的穿搭思路直接被打开如果西班牙夺冠，略伦特、格里马尔多等4人将迎来职业生涯的巅峰时刻；如果阿根廷卫冕，阿尔瓦雷斯、莫利纳等人将再次证明马竞球员的冠军底蕴。

4、科特迪瓦VS挪威前瞻：攻防漏洞对决，会打出大比分吗？

如果不是赛程在关键时刻送来了阿斯顿维拉这个"完美对手"，结局可能更加不堪设想。

5、夏日百搭小短裙，舒适好穿可甜可酷，承包一个夏天的清透凉爽

对此，滔搏将新开门店的模式集中在大品牌的“锚店”、“超级店”。

6、黄豆和此物一起炖，是“穷人的阿胶”，女性要多食，肌肤白皙细腻

球队场均控球率67%，本届赛事已攻入17球，与法国并列赛事最多，但淘汰赛阶段有2场都打满加时，体能消耗巨大。

其中测试设备增长弹性显著领先，2024-2027E年复合增速高达21.1%，预计未来随着AI芯片、车规功率器件需求爆发，芯片检测需求持续推高，带动测试设备中长期维持高增速。

在整个AI短剧漫剧产业链中，AI影视创作应用成为竞争最密集的地带，这也成为吴太兵所说的“练兵场”。

7、入夏必喝这碗「神仙水」，附2类慎喝人群清单

当赛事进入最后阶段，乐事也将此前积累的消费者互动与情感连接，汇聚于决赛夜的明星观赛派对。

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。

8、SK海力士掌门人“50亿美元天价离婚案”判了：前妻将分走6.43亿美元，其系前总统之女

公司观察注意到，此时距离上一轮湖北国资入主计划正式终止，刚满30天。

皮尔斯透露，巴黎的法国国脚布拉德利·巴尔科拉颇受红军欣赏，布莱顿的扬库巴·明特、科隆的赛义德·埃尔马拉以及里尔的费尔南德斯-帕尔多也都在考虑范围之内。

具身智能赛道最猛融资速度 极佳视界的融资速度，几乎是按月计算的。

县域封牌，6万亿僵尸基金清退 54号文的影响远远超出了创投圈本身，它像一把手术刀，切中了过去十年地方经济招商引资的核心痛点。