两队首轮均未能全取三分，葡萄牙1-1战平刚果，乌兹别克斯坦1-3不敌哥伦比亚，这场比赛对双方的出线前景都至关重要。

1、九游体育 但从砸钱的重磅引援来讲，塔雷还是有些看走眼了。

它首发搭载基于联发科天玑9600深度定制的芯片组，采用台积电N2P工艺。九游体育两者必须分开看。

2、马斯克开炮：当前人形机器人演示都是远程操控或剧本！行业表演该结束了

这种基于商业逻辑的“尺度倾斜”一旦在观感上被放大，就会让竞技体育的纯粹性遭到严重侵蚀。

3、38岁奥塔门迪宣布退出阿根廷国家队！17年夺得世界杯+大赛三连冠

中场则是红黑军团变动最集中的区域，留队、待售、引援三条线同步推进。

4、足协杯1/8决赛现场观众人数：申花vs海牛27356人居首

本赛季的米兰呈现高开低走，上半赛季他们19轮拿到42分（场均2.21），下半赛季17轮25分（场均1.47），直接从争冠梯队跌到了保四都悬的境地。

5、篮协对内蒙古女篮开出大罚单：罚款100万，2人终身禁赛，收回亚军

进入淘汰赛后，阿根廷接连遭遇苦战，1/16决赛对阵佛得角，打到加时才分出胜负。

利物浦已向巴塞罗那正式报价，求购西班牙前锋费兰·托雷斯。

2026年7月，北方华创的市值跌了2000多亿。

6、哈登公开招募詹姆斯：我希望他来克利夫兰 这会是完美的童话式结局

届时，阿莫林如何排兵布阵将会有一个更加清晰的轮廓，部分待考察球员的去留也将尘埃落定。

不过，阿斯顿维拉已经在谈判中抢得先手，曼赞比本人也更倾向于加盟这支伯明翰球队，纽卡斯尔因此接近退出争夺。

7、39岁，温网106胜，德约科维奇本身就是奇迹

但不可否认，圈层里一直有截然不同的声音。

谁能想到，这位身材并不高大的39岁老将，在中场的肉搏与缠斗中，竟能展现出如此强悍的生存能力与韧性？再加上场均9分的官方评分位列第一，梅西用无可挑剔的表现，锁定了本届赛事的绝对统治力。

8、场均5分，三年顶薪：杜润旺出走广东，到底值不值？

智能体需收集大量敏感数据，本地处理对算力要求高，云端处理则存在泄露风险。

小组赛阶段，挪威先是4比1大胜伊拉克，随后3比2力克塞内加尔，两战轰入7球提前锁定出线席位，末轮轮换十名主力1比4不敌法国。

对希捷来说，我们目前还是专注于硬盘。

9、弦歌相会，两岸青年共赴江南雅集

政策导向亦与此一致。

10月Q3财报，只需盯住三个数字：监管信贷收入是否继续萎缩，研发费用率能否回落，残值担保敞口是否还在膨胀。

10、2米18国青中锋投奔杜锋？不会重蹈徐昕覆辙 是周琦借全运赚钱翻版

3年的时间里，伯恩茅斯在伊劳拉的调教下排名接连攀升，从接手前的第15名到第12名、第9名，又到本赛季的第6名，率队取得历史性欧战资格（欧联杯）。

” 消费者花100元买零食，大约80元先变成货款，门店留下20元毛利。

1、燃油车集体"跳水" 降价潮持续蔓延 长安逸动经典版限时直降

在他看来，贝林厄姆在顶级舞台上的影响力以及决定比赛的能力，使他成为接替凯恩袖标的天然人选。

2、丁俊晖破百6-2胜梁文博 时隔10年再进英锦赛四强

但这种乐观并未能扭转市场的悲观情绪。

3、聚集｜VICTOR助力“星弦行动”孤独症穿线师圆梦中国公开赛

世界杯半决赛，西班牙2-0完胜法国晋级；阿根廷2-1逆转英格兰晋级。吴禹廷，从旗忠网球中心到温布尔登的中国少年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。

4、看完 Nike 世界杯预热大片，开赛倒计时准备！

由于下赛季很可能面临多线作战，米兰准备在夏窗扩充一线队阵容，中场成为改造的重心。

5、高诗岩完成顶薪续约吐心声

” 这个更大的空间指的是OPC，即一人创作者或者极小团队的创作者。

6、1986年，邓小平想辞去军委主席，聂荣臻反对：一旦有事，怎么号令全军？_网易订阅

莫德里奇和科瓦契奇组成的中场双核，擅长通过精准传递和节奏变化打乱对手的部署。

这就是负凸性：平时赚钱容易，黑天鹅一旦来临可能把此前收益连同本金一起还给市场。

所以，就算国产设备参数达标，客户也倾向于用长期验证过的海外产品。

7、CBA今夏13名球员顶薪合同到期，只有这4人值得顶薪续约

诚然，这场对决不会仅仅局限于两人的个人恩怨。

说实话，卫冕将非常困难。

8、中科闻歌港股IPO备案通过，中国版Palantir来了

”WAIC拥挤现场的长队，排给了一把会“即兴演奏”的AI吉他。

还有一套更极端的定价在A股之外。

2比0，干净利落。

假设他每年能结余十二万，不考虑投资收益，从四十万积累到三百万，需要二十多年。