从市场数据看，AI手机的前景确实令人振奋。

1、迈博体育 问题的根源，在于AI计算体系出现了越来越严重的"算存失衡"。

这也让无数巴萨球迷产生了强烈的共鸣。迈博体育头部格局仍未固化，但护城河的类型正在改变。

2、MLS调查迈阿密免签卡塞米罗：签人没先买“发现权”，到底踩了什么红线

阵地战中，奥利塞在右路的内切射门是常规武器，姆巴佩从左侧切入，登贝莱负责边路串联。

3、临泽：筑牢工业“压舱石” 奋力实现“双过半”

伊布继续担任老板的高级顾问，斯卡罗尼则保留主席职位。

4、MLS官方介入调查迈阿密国际签约案 卡塞米罗转会涉嫌违规挖角

日本队则存在固有短板，世界杯淘汰赛从未取得胜利，存在淘汰赛魔咒，且球员身体对抗偏弱，面对巴西高强度身体拼抢容易落入下风，锋线终结稳定性也不足。

5、意甲后防领袖进入曼联视野：曝28岁哥伦比亚国脚今夏可离队

本纳赛尔已与球队协商解约，将加盟卡塔尔球队北方体育。

这和App那种“先上线、再打磨”的打法完全是两回事。

“我非常了解拉明，这是他展现自信的一种方式，也是他给自己增加的一份动力。

6、行驶仅1.1万英里的2021款豪华B级房车：奔驰底盘配全功能生活舱

锋线上的路易斯·苏亚雷斯虽然不是顶级球星，但战术执行能力强，能很好地完成支点作用。

阿根廷的成功证明了，当一支球队的所有球员都紧紧团结在一起，并愿意为战术体系牺牲个人数据时，他们就能爆发出超越身价的强大能量。

7、芬超第17轮前瞻：古比斯主场迎战瓦萨，欧冠归来再遇劲敌

对于正处在争四关键阶段的米兰来说，这无疑是重大打击，阿莱格里不得不选出魔笛的接替人选，亚沙里被认为是一号顺位继任者。

2024年10月24日，MaskGCT通过Amphion系统正式面向全球开源。

8、2026米其林轮胎赠送第六轮揭晓：大众Karmann Ghia凭借编辑特权险胜

乌兹别克斯坦队内唯一效力于顶级联赛的是曼城后卫胡桑诺夫，一人身价就占全队近半，其余球员多效力于亚洲和西亚联赛。

25/26赛季结束后，争四失败的AC米兰持续动荡，在主教练、CEO、体育总监、技术总监全部被辞退的情况下，红鸟高级顾问伊布独善其身。

播客本身也适合生产这种语言。

9、仅产88辆，这台1993年法拉利348 TB行驶3.9万英里，现无底价拍卖

02 瓶颈终会到来 迪马基离开的两年前，礼来就已经遭到了命运的重击。

“我们赢得起，也要输得起。

10、央行新版多用途预付卡监管新规将落地，四大调整重构行业生态

豪华的基石投资者也成为市场焦点。

后卫贾雷尔·夸安萨因红牌被禁赛两场，确定缺席对阵挪威的比赛。

1、卡里克捡到宝了！曼联玻璃人世界杯封神，评分断层第一

第36分钟，挪威队打出高效反击，厄德高送出精妙助攻，谢尔德鲁普在禁区左侧起脚似传似射，皮球划出一道不可思议的弧线直挂球门死角，碰柱后入网。

2、尾号“999999”手机号1.5万元拍卖，已有4人报名参拍

长鑫是过去十年唯一挤进这张桌子的新玩家。

3、中超第2位下课主帅诞生！倒数第2调整教练组，洋帅下课

无论最终谁能挺进决赛，这场矛盾大战都将成为本届世界杯最经典的篇章。瑞典大满贯林诗栋蒯曼身兼三项，王楚钦连续两站轮休。历史交锋方面，两队累计正式比赛交手38次，西班牙取得18胜7平13负的总成绩，总进球71对44占据优势。

4、伊最高领袖没料到，老哈梅灵车还没到圣城，以色列先准备斩首行动

其中最具参考价值的是2022年卡塔尔世界杯小组赛，当时两队就分在同一个小组。

5、降薪又让权，主动招募老詹！为了总冠军，你真的再无保留

2022年10月，美国的打压，尤其此后不断升级的管制，给中国芯片产业带来巨大挑战和压力，但也相当于替北方华创创造了这个前提。

6、环法第18赛段冲向山顶终点 五座爬坡谁能抢下圆点衫积分

三个变量或决定下半年方向 金价的下一个方向，或取决于三个关键变量。

考虑到引入成本太高，年龄也不大，米兰大概率会留下亚沙里再考察1年。

核心看点一：两代天才的宿命交锋，姆巴佩直面“法国克星” 本场比赛最大的焦点，无疑是法国队长姆巴佩与西班牙超新星亚马尔的第11次正面对决。

7、单手神接！乔·鲁特飞身抓杀引爆社媒，19分攻击波戛然而止

一个多月的时间里，来自各大洲的球员迎来职业生涯中难得的机遇。

老板卡迪纳莱也给予他很大的支持力度，转会会议全程参与，引援、续约、清冗等关键决策也尊重他的意见。

8、3-1 2-0 1-1！中超疯狂一夜！大连双杀山东，津门虎两连胜！三镇击败深圳

过去十年，这笔＂卖碳＂收入撑起了特斯拉利润表的半壁江山，本季它仍占经营利润的47.6%；把它拿走，经营利润只剩下4.84亿美元。

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。

此前法国有报道称，巴黎方面的报价可能达到4500万欧元左右，包含浮动条款，但巴萨希望对方能拿出更好的报价，否则免谈。

一边是连续四届世界杯小组出线的欧洲铁血之师，一边是时隔12年重返淘汰赛的北非黑马，这场对决究竟是瑞士稳步晋级，还是阿尔及利亚爆冷逆袭？ 作为FIFA排名第16位的欧洲劲旅，瑞士队全队身价约3.3亿欧元，26人大名单中有18名球员效力于欧洲五大联赛，阵容厚度在32强中位居中上游。