作为特奥的接替者，他的加盟从一开始就引发了诸多疑问，最后主力位置也被青训小将巴尔泰萨吉抢去。

年销超4600亿元中国服务器产业强劲增长

44781 ★

摘要：目前最明确的头号目标是水晶宫的马特塔。

这是一条有别于开源微调的自研路线，模型在设计之初就面向实时交互优化，为Agent的对话式创作体验提供了可能。

1、熊猫体育他不仅是法兰西最锋利的剑，更是当今世界杯赛场上当之无愧的“真神”。

所以，储能从「暴利」回归「正常利润」，短期修复空间有限。熊猫体育整体状态：东道主完胜VS太极虎逆转墨西哥近期状态十分稳定，近10场取得6胜3平1负，进16球仅失4球，2026年以来热身赛保持不败，防守端完成8场零封。

2、C罗点赞FIFA保送梅西进决赛切片：一场老对手的"赛后加时赛"

在自研遇挫后，CARIAD转而开始与中国供应商谈起了合作，地平线机器人正是大众重要的合作伙伴之一。

3、26岁第4顺位边后卫加西亚400万离开穆氏皇马，皇马可2500万欧回购

最要警惕的是押金和培训贷。

4、受台风“红霞”影响广东潮州全市停课汕头南澳大桥25日16时起封桥

2024年，李飞飞离开斯坦福，创办World Labs，一头扎进“空间智能”这个新赛道，目标是让AI不仅能识别图像，更能像人类一样理解、推理并交互三维物理世界。

5、随着那不勒斯1-0绝杀AC米兰+尤文2-0！意甲最新积分榜：科莫不败

今年Token相关话题热度明显提升，很多企业开始围绕Agent、推理成本及商业化路径展开探索。

真正的增长故事在谷歌云。

阿根廷力克瑞士，英格兰险胜晋级阿根廷是最后一支锁定四强席位的球队。

6、书香心语｜平淡生活里的那罐蜜

比如一块44TB硬盘，如果拆成一块20TB、一块24TB，总TB数一样，从容量维度看相同，但两块盘需要两套磁头、两套控制组件，总体拥有成本就比一块44TB的盘更高。

而这场对阵西班牙的四分之一决赛，不仅关乎球队的晋级前景，也将为这位传奇中场的国家队生涯写下最后的注脚。

7、前队友爆发冲突！阿德巴约动手打希罗疑似不满对方吐槽自己不值顶薪

哈兰德同期同样上涨2000万，两人继续在金字塔顶并驾齐驱。

长上下文推理的KV Cache从64K到1000万token时，容量需求从百GB级跳升至TB级。

8、昔日国安“水货”踢世界杯，离队10年逆袭，球队最体面的散伙外援

多点开花 vs 锋线狂飙荷兰小组赛进攻端多点开花，加克波和布罗比对瑞典双双梅开二度，萨默维尔也连续两场取得进球，邓弗里斯在边路多次送出助攻。

7月30日，球队将前往骑士头公园球场对阵伯明翰城，这也是今夏首场公开热身赛。

赛后，梅西毫不掩饰这场胜利的特殊分量。

9、基础款白色上衣夏天这么穿！圆领、V 领、翻领，多备几件不出错

开头说清楚标的收益为什么能加速。

一整晚，姆巴佩没让西蒙做出一次扑救。

10、稳但缺少霸气！不丢球也不输的西班牙又上演了绝杀！

最新一轮融资完成后，极佳视界估值将高达30亿美元（约200亿元人民币）。

这种“先手”优势，让中际旭创在产业链中占据了主动的位置。

1、刘子铭当选2026怡宝中乙联赛5月最佳球员

但在行业从“粗放增长”转向“高质量发展”的拐点上，问题开始集中暴露：实控人资金拆借混乱，说明公司治理还有待加强；毛利率持续下滑，说明产品缺乏真正的定价权；安全事故频发，说明生产水平有待提高。

2、Cloudera CTO：把生成式工具当AI全部是本末倒置，技术自主需开源架构

据悉，弗利克每天都在关注他的恢复情况，教练组和医疗部门都对目前的平稳进展感到满意。

3、别再只会穿衬衫了！这30套通勤穿搭好看爆！最后一套简直封神！

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。豪赌当世第一！阿森纳惊天挖角，皇马天王或空降酋长球场2026 年正成为 AI 产业的"IPO 大年"，全球头部玩家集体涌向资本市场。

4、警惕！58岁阿姨乏力、贫血、胃口差，“真凶”竟是A型胃炎

从行业角度看，这件事撕开了两个长期被掩盖的伤口。

5、白内障不是老年人专属，别等看不见了才行动！

如今滔搏已拥有9290万会员，约3800家门店接入即时零售网络，运营超过700个抖音、视频号账号，以及3700多个微信小程序门店，希望把传统门店改造成兼具履约、体验和私域运营能力的新零售节点。

6、提醒：女人有妇科炎症，最好别贪吃这几类食物，以免病情加重

WhoScored评分中，梅西以场均8.96分高居所有参赛球员首位。

周日，她在社交媒体上说明了情况：由于机组人员飞行时限超时，航班最终被取消。

当19岁的亚马尔在7月19日的决赛场上，面对曾经向自己泼水的梅西时，这已经不仅仅是一场比赛。

7、董宇辉，真要跌落神坛了！

拉什福德上赛季租借效力巴塞罗那，各项赛事出战49场，交出14球11次助攻的成绩单。

莱奥是一名高度依赖开阔空间，擅长爆发冲刺、边路单打独斗和无序自由的球员。

8、疯狂心动的夏日穿搭，加点彩色更好看

但与一季度的归母净利润33.46亿元相比，德明利二季度利润表现却出现了环比下行。

近年欧战挑大梁的国米反倒低一些，24/25赛季7800万欧元，2025/26赛季9660万欧元，2年总支出1.746亿欧元。

特朗普与桑切斯、西班牙国王费利佩六世在大都会球场的主席台上同席而坐。

值得关注的是，K3的评测成绩单呈现出一种微妙的分层领先格局。

12秒87 VS 12秒88！客观评论刘翔和罗伯斯！罗伯斯真的比刘翔强？ 3支球队，7起申诉，判罚全部正确！拒收礼裁判反复经受住双重考验越野摩托到灾区驮起的，是被“低空经济”遗忘的良心一场跨越山水的驰援——湖南科大学子携无人机奔赴广西洪灾一线

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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. 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