当前，AC米兰的真空期已经持续了1周时间，以伊布为首的管理层工作效率低下，截至目前对体育总监和主教练的选拔还没有太多进展。

1、金年汇 梅西本届赛事表现惊艳，但在决赛中却如幽灵般游离，赛后泪洒赛场。

为什么三巨头拿不到后两层 三星、SK海力士、美光的PE只有4到8倍，因为市场只给它们周期底。金年汇正是这位主帅当初为了给本泽马腾出外援名额，将努涅斯从联赛名单中剔除，提前终结了他的国内赛季。

2、于远伟当选2025华润饮料中乙联赛10月最佳教练

不清楚是天气炎热还是其他原因。

3、踢球者：水晶宫2000万欧报价马西马被拒的报道并不准确

那么，在厂商纷纷押注的当下，什么是真正的世界模型？智象未来创始人梅涛对这个问题有一个清晰的界定：一个真正的世界模型必须同时具备三个能力，表达世界、推演世界、构造世界。

4、十人作战0-2输球！山东泰山客场负国安，赛后传来3个坏消息

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。

5、49岁男子被控连杀两长辈和小学老师，作案动机披露

说到底，就是一个互动更积极的语音助手，加一个能自动修图的相册。

不到7个月，“择时”的主动权似乎从公司手中移向了市场。

无论是法国与西班牙的战术博弈，还是英格兰与阿根廷的宿命对决，都已经将本届世界杯的悬念与观赏性推向了最高潮。

6、当年轻女性，闯入电竞圈

米兰方面希望拿到1500万欧元左右的现金，而维拉的报价略低于这一数字，但差距已经不大。

唯一可以确定的是，在这场关于未来的赌局中，马斯克已经把所有筹码推到了桌面上——开牌之前，谁都无法确定这究竟是黄金时代的前夜，还是帝国梦碎的序章。

7、一个人活得很累的根本原因：4个字

彼时，AI 的主战场仍是训练，GPU 凭借通用性和成熟生态占据绝对优势。

为什么？因为算力，真的不够用了。

8、新闻发布｜洪涝过后 这些传染病一定要严防

据《晚邮报》报道，意大利足协近几天已经致电米兰，提醒其需在6月16日前提交下赛季联赛注册所需文件。

同样出自法国“黄金一代”的安托万·格列兹曼，则选了一条最省心的路：不当GP，只当LP。

另据腾讯深网近期引援渠道商最新数据，包括8GB+128GB、12GB+256GB内存配置在内多款中低端机型，当前零售价涨价幅度在200元到400元之间。

9、旭旭宝宝要慌了，网友要求复核税收纳税，账号不停掉粉

这样做，一方面可以帮助Anthropic加快自身的模型研发；另一方面，如果Coding的效果足够好，就能很快吸引程序员们使用。

其次是即战力，镰田大地已经在德甲和英超证明过自己，并且有1年的意甲比赛经验，不需要太长的磨合时间。

10、直-20全面登舰075，海军两栖作战能力迎来跃升

选择变多了，确定性却没有同步增加。

美国可以限制设备出口，可以拉长零部件清单，可以把更多中国企业列入实体清单。

1、走路太慢、跑步太累？那就试试这种宝藏运动！重磅研究：「超慢跑」可有效控制血糖，12周还能逆转老年肌肉流失、改善心肺功能

勒沃库森已于今年3月激活回购条款，合约签至2030年。

2、整个衡山都不能网购榴莲、车厘子！一男子用AI伪造高价水果变质图要求“仅退款”，连累全县被平台拒发货

巴西全队总身价约9.3亿欧元，世界排名第6位，安切洛蒂主打4-3-3阵型，战术切换十分灵活。

3、Patreon宣布裁员20%共93人 CEO称业绩增长仍需优化成本结构

今年3月，集团获评上海市闵行区首批大企业开放创新中心并揭牌落地。女队逆转日本登顶！孙颖莎独得两分展现统治力，王曼昱完成救赎《每日邮报》还指出：“切尔西的兴趣浮出水面之前一个月，俱乐部消息人士曾试图否认圈内关于他们关注斯通斯的传闻。

4、白岩：弧光映初心 焊花铸担当

前腰位置上，34岁的J罗虽然身价仅剩150万欧元，但作为2014年世界杯金靴，他的大赛经验和传球视野是球队宝贵的财富。

5、世纪难题已经让克洛普拒绝皇马帅位，修斯与姆巴佩根本就不可兼容

当赖斯拖着疲惫且疼痛的身躯在场上奔跑时，英格兰队的战术体系其实已经悬在了一根脆弱的钢丝上。

6、早筛早防慢阻肺 闭环服务保健康——芝罘区开展慢阻肺专项筛查惠民活动

虽然当前呼声最高的是萨里，但米兰主帅阿莱格里也成为可能的人选。

如果朋友的软件公司需要为每个客户进行大量定制，收入增长同时必须同步增加更多员工，利润就不会出现预想中的跳跃；如果客户续约率还下降了、应收账款不断上升，或者公司持续融资，增长带来的价值就可能被坏账和股权稀释覆盖掉。

阿莱格里离任后，米兰在教练人选上的头号目标是伊劳拉，不过早在几个月前，水晶宫就已经与伊劳拉开启了谈判，西班牙人对执教米兰兴趣不大。

7、一场没有誓言的婚礼：古代巴比伦人把爱情谈成了公司并购

AI 产品往往希望触达认知度高、付费能力强的用户，即 Prosumer 或 Super Consumer。

双方将保持密切交流，尽快商定具体产品降税安排并推动实施，进一步拓展双边贸易。

8、点赞，孝感王功瑾！

” 博睿康成立于2011年，长期深耕脑电采集、神经调控与脑机交互设备，目前已形成20余款非侵入式产品矩阵。

当米兰发起进攻时，队友阿泰卡梅的鞋子在对抗中被埃德森踩掉，主裁判却吹了米兰进攻犯规，萨勒马克尔斯从旁目睹这一切，他愤怒地捡起队友鞋子重重摔在地上，嘴里还骂骂咧咧，主裁判没有丝毫犹豫掏出黄牌。

如果说314Ah的短缺是当下最紧迫的产线焦虑，那么固态电池则是一道关于未来的必答题。

例如努比亚为iMoochi打造了Hopami、Mimiu、Cynomi、Mogogo、Morin五款性格成员，试图用个性化养成逻辑延长产品的生命周期； 与之类似，Fuzozo芙崽基于中国五行设定了五种不同颜色和不同行为特质的玩偶。