就射门数据来说，法国碾压摩洛哥。

1、迈博体育 不过，弗兰的执教履历尚显稚嫩。

抛开英超和沙特两大“金元联赛”，意甲豪门的投入力度并不输其他三大联赛。迈博体育大厂给你的是平台和光环，小公司给你的是"什么都得自己上"的全局能力。

2、辛卡时代，谁能接过穆雷、瓦林卡和德尔波特罗的衣钵？

若意大利足协最终选择瓜迪奥拉，将面临显著的薪资压力——其预期年薪将远高于两位本土候选人。

3、如何将卡约交易价值最大化 到期合同换首轮签 全力追老秀伦德博格

在三方狙击之下，便利店需要一个楔子来打破发展困境，而新鲜零食，则是一个好的选择。

4、NBA夏联：马刺狂输7人上双老鹰27分 韩国李贤重4中0吞蛋

我们历史账上面，永远有花不完的钱。

5、Scotto：多队曾致电掘金询价约翰逊 但均遭拒绝

“他们踢得更好，这是事实。

最终双方以2200万欧元固定转会费加700万欧元浮动条款成交。

克勒舍将带着他的得力助手哈东一起加盟米兰，他的团队曾发掘出一大批潜力新星，帮助东家在转会市场赚得盆满钵满。

6、第一批逃离高温的人，已经在吉林住下了

队长罗德里手捧大力神杯，从载誉归来的伊比利亚航班舷梯上缓步而下。

澳大利亚虽然整体身价只有5143万欧元，FIFA排名第27位，但其实战能力不容小觑。

7、跑10公里需要50分钟，我能去跑马拉松吗？

车企本来就有智能驾驶预算，也积累了大量摄像头和传感器数据；危险场景又不适合在真实道路上反复测试。

对于球迷而言，这或许就是足球最迷人的地方吧！2026年世界杯的战火正酣，关于“谁是世界杯历史最佳三人组”的讨论在绿茵场外同样激烈。

8、超级选秀小年 前3顺位球员不堪重用 为何雷霆却能低顺位淘到宝

不过摩洛哥的阵地战创造力一般，面对密集防守办法不多。

这一巧合或许能为球迷增添几分遐想空间，但现实终究归于数字本身。

据报道，关于球衣使用的最终决定预计将在周三作出，距离开球不足24小时。

9、CBA速递！中国男篮官宣一决定，篮协正式开展调查，宏远旧将加盟江苏

但就在所有人以为奇迹即将上演时，英格兰人用一次点球和贝林厄姆的压哨破门，再次将比分拉开。

这是传控艺术的胜利，也是足球魅力的极致展现。

10、视频   谢贤1亿港元遗产分配曝光，子辈孙辈相差9倍，谢贤真的偏心吗？

中国公司，不管是大模型公司，还是大厂，亦或是传统产业公司，对AI的觉醒程度都显著高于东南亚、日韩等市场，差距非常明显。

GP开始“渡劫” 54号文落地后，全国多只正在筹备中的基金被紧急叫停。

1、阿根廷太脏?西班牙足协主席:今天足球赢了 最终正义得到了伸张!

除此之外，他的表现更多停留在偶尔的灵光一现，远没有达到持续输出的水准。

2、Halliday发布第二代AI眼镜：让 AI 实时参与会议

这个伤情可能需要手术治疗，一旦阿森纳选择手术方案，萨利巴预计将缺阵四到五个月。

3、学会用比赛准备比赛

摩洛哥最大的惊喜是中锋赛巴里，小组赛连续三场破门，进球效率惊人。Rivian R2开启交付仅一周后裁员数百人 加速推进降本增效2026世界杯决赛，西班牙vs阿根廷，欧洲和南美的裁判因涉及决赛球队所属大洲，最好的选择是均被排除在外，而在亚洲、非洲、中北美等区域的裁判中进行筛选。

4、里克尔梅：曾以为不会再有另一个马拉多纳，但梅西可能更胜一筹

从冲锋陷阵的战士，到指引方向的导师，马内正在完成从传奇到奠基人的华丽转身。

5、工具的信任难题：这款彩票 APP 靠什么拿下七成资深用户

"从迭戈的壮举中汲取灵感很难，他在球场上做的那些事，几乎不可能被复制。

6、1962年，刘少奇想为曾彦修平反，毛主席大怒：你们想要干什么？_网易订阅

月之暗面随后于6月29日发布官方声明，明确所有融资活动仅由公司直接负责，未经公司批准的老股交易一律无效。

美加墨世界杯1/8决赛即将迎来一场焦点对决，欧洲铁军瑞士迎战南美雄鹰哥伦比亚。

提到新鲜零食，用户首先想到的是专门店、烘焙连锁，便利店天然缺乏专业心智。

7、0分VS22分，国家队首发后卫遭徐杰完爆，媒体人：进攻一言难尽

但劣势也同样存在，比如：分层架构意味着链路更长、调优更复杂，端到端效果未必比直接训练VLA更好。

”斯卡洛尼在发布会上说完这番话后，泪洒现场。

8、原来，宫鲁鸣踹了丁彦雨航一脚

” 那么，超节点到底有多“超”？ 华为在WAIC上首次公开展出了昇腾950超节点真机，它由16台计算柜拼接而成的巨型阵列，1024张算力卡密集嵌入，这是目前业界公开的最大规模超节点。

不过随着马雷斯卡接任曼城主帅，加上B席离队、萨维尼奥和马尔穆什可能出走，福登下赛季仍存在重新获得主力位置的机会。

另一个有名气的目标是波切蒂诺，但阿根廷人与美国国家队有合同在身，今年夏天还要参加作为东道主的美加墨世界杯。

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。