目前雅伊斯勒排在米兰选帅名单的最后一名。

1、kaiyun.com 在增速换挡之后，没有技术壁垒、没有利润积累、没有全球合规能力的企业，将面临出局的风险。

有媒体报道，过去半年，多家国产手机厂商下调旗下中低端产品产能幅度在15%到20%之间，另外今年发布的多款千元机型均有了100到300元的提价调整，行业一度弥漫着“明年买不到千元机”的悲观论调。kaiyun.com当世界杯的聚光灯打在别人身上时，C罗的怀旧之举被解读为无法正视当下状态下滑的逃避，是对现实巨大落差的一种无力抵抗。

2、格里兹曼首秀破门 莱万哑火 梅西缺阵迈阿密仍赢球

面对西班牙，比利时两个边路的防守会非常吃力，西班牙边锋+边后卫的多次冲锋陷阵，会逐步消耗以及攻破比利时的防线。

3、MLB三方交易解剖：高管为何把复杂运作称为“毛球”

“短期来看，市场虽存在8月‘抢装潮’以规避税负的预期，但该逻辑此前已在传言中部分消化，实际拉动效应尚待观察。

4、凯德投资31.5亿元产品落地，机构间REITs规模突破千亿大关

一边是41岁C罗领衔的五盾军团，一边是18岁亚马尔率领的青春斗牛士，两代球星的正面对决让这场比赛充满看点。

5、6k英里，550马力，原价15.6万美元：这台2020款AMG GT C正在拍卖

费兰以6球成为赛事最佳射手，并被评为决赛最佳球员。

那些喧嚣，又回来了。

随着Kimi K2.6和K3.0的发布，月之暗面又重新成为了一家炙手可热的国产大模型公司。

6、全球仅750辆，这台保时捷911 Targa 4 GTS纪念版编号073，里程不足5000英里

周远不是现实中某个具体的人，更像是许多人设雷同的投资者集合，当然也包括老衬本人不少经历和缩影。

后期他还利用漏洞，继续登录苹果内部服务器，下载了数十份机密文件，其中一份汇编就超过1000页。

7、U17银川邀请赛最新排名：中国0-2，坦桑尼亚两连胜排第1，澳洲4-2

Mozaic 4+正是在解决这一问题。

国资领导敢在投决会上签字，很大程度上是因为合同里写满了这类兜底条款。

8、乌克兰命根被炸！泽连斯基五味杂陈：再一次证明，普京的路走对了

让我们为这份跨越万里的善意点赞。

最后2轮，5支球队将竞争3张欧冠入场券，形势已呈白热化。

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。

9、底表21.4万英里，这辆1981款奔驰300TD Turbo换上了14.3万英里的发动机

球队凭借极致的团队战术和稳固的防守体系，一步步跻身世界强队行列，彻底摆脱了非洲鱼腩的标签，面对欧美传统强队也丝毫不落下风。

但全球最大资产管理公司贝莱德认为，投资者或许误判了形势。

10、西班牙加时赛破僵！托雷斯爆射破门，复刻伊涅斯塔，决赛破门第二人

7月21日，长鑫科技打新结果揭晓。

数据来源：美国劳工部、Wind、芝加哥商品交易所 研报来源： 国金证券：《如何看待金银的反弹？》，2026年7月24日 瑞银（UBS）财富管理：黄金目标价预测，2026年7月23日 摩根大通（J.P. Morgan）：黄金市场展望，2026年7月 美国银行（Bank of America）：2026年黄金均价预测，2026年7月 高盛（Goldman Sachs）：黄金目标价预测，2026年6月 摩根士丹利（Morgan Stanley）：《黄金与白银：ETF买盘何时重启？》，2026年7月20日 世界黄金协会（World Gold Council）：《2026年全球黄金市场年中展望》，2026年7月1日 中金财富期货：黄金市场评论，2026年7月24日 混沌天成期货：贵金属市场评论，2026年7月 报道来源： 财联社：《美联储加息再无后顾之忧？昨夜最炸裂数据：1969年以来最低初请》，2026年7月24日 新华财经：《国际油价重回100美元 通胀压力传导欧美债市收益率急升》，2026年7月24日 新华社：国际油价7月23日上涨报道，2026年7月24日 美联社（AP News）：US filings for unemployment aid fall to 187,000 last week, fewest since 1969，2026年7月23日 免责声明：本文仅供参考，不构成投资建议。

1、布隆德洛道歉后，里斯与梦想主帅齐发声：联盟不容任何歧视

储能需求的结构性爆发与供给端的出清共振，重新定义了锂的合理价格区间。

2、帕特里克·坎恩两年合同重返芝加哥黑鹰 康纳·贝达德成赢家

朋友所在的店，日销经常超过两万元；阿浩所在的店，每天也能卖一万五到一万七。

3、年内超700亿资金涌入PCB赛道，两大企业同日宣布扩产

阵容如此大幅度的变动，自然引来了关于拉菲尼亚可能离队的传闻。这辆20万英里的雷克萨斯GX470，无底价开拍了家庭用户更关心机器放在哪里、吵不吵、安全不安全、孩子能不能用、耗材贵不贵，以及一个月到底能打印几次。

4、火箭队捡到宝，次轮秀27+3进攻全能，两特点强于谢泼德，与2将争首发

”红熊AI的做法是为每个客户做业务剖析，找准真实痛点，再匹配AI工具：针对大型客户提供私有化部署，满足个性化需求；针对中小客户推出轻量化SaaS版本，支持免费试用，按效果付费。

5、09年的幼詹，为什么打不过霍华德带领的魔术

"英国足球体育商学院（UCFB）院长威尔逊（Rob Wilson）直言，"你看到的是世界上最大规模的体育赛事在世界上最成熟的商业化市场中举办。

6、拉萨市2026年西藏初中班（校）和西藏完全中学招生体检最低控制分数线公布

三只星星人在跨年夜舞台上表演，表演视频在社交媒体一度刷屏，形成了极为破圈的影响力。

商业化落地也在同步提速。

25-26赛季，他各项赛事为亨克出战49场，贡献3球14助攻，其中欧联杯13场2球1助攻。

7、连续5天！即将开唱！就在邵阳这里

互换交易员预计下周7月议息会议加息的概率约34%至38%。

他的下一站，大概率将是英超。

8、中超第7轮裁判选派：麦麦提江执哨辽宁德比，金哨李海新在列

法国方面，德尚的4-2-3-1体系已经相当成熟。

总运营费用 43.53 亿美元，同比增长 47%。

和解方案具体为：爱众资本以4.15亿元执行收购西藏联合所持的甘肃瑞光62%股权及债权，公司就爱众资本欠付的前述款项及逾期利息（若有）向西藏联合承担连带保证责任；公司以4.74亿元收购西藏联合持有的淄博瑞光72.75%股权。

同一条新闻，两种工具，两条不同曲线。