全球最大黄金ETF——SPDR Gold Trust持仓已连续四日获资金流入，从7月17日的999吨增至7月23日的1009.3吨，累计增持超10吨。

1、kok网页版 “他们踢得更好，这是事实。

进球不再是把球踢好的自然结果，而成了衡量他这个人到底有没有价值的唯一标准。kok网页版然而，在刚刚结束的2026年世界杯上，他仅为葡萄牙队出战1场，出场时间的匮乏或许加速了他寻求新环境以及赚取大钱的决心。

2、定了！第十六届中国国际航空航天博览会12月7日至13日举行

一边是35场不败、6场零封仅丢1球的传控王者，一边是淘汰赛连续逆转、梅西领衔的南美铁军。

3、首车月销过万，MONA第二款车登场！何小鹏暗示：价格会很猛

”这种超越胜负的豁达，正是成渝足球文化深厚底蕴的最佳写照。

4、太猛了！俄罗斯4月新车销量 哈弗14586辆 奇瑞12867辆 坦克2409辆

特斯拉AI 副总裁 Ashok Elluswamy 称，所有事故均为静止状态下被其他车辆剐蹭，纯视觉方案用实际运营数据证明了可行性。

5、全锦赛17日战报：莎头横扫老友，亚运组合失利

” 拿下罗杰斯之后，切尔西的引援雷达仍在转动。

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。

如今，他们分别是各自球队的绝对核心，为了同一个目标站在赛场两端。

6、低空经济和机器人们在自然灾害面前为何如此默契？罕有动静！

佰维存储预计2026年上半年实现营业收入150亿元至160亿元，同比增长283.40%至308.96%；预计2026年半年度实现归属于母公司所有者的净利润70亿元至75亿元，同比增加3200.15%至3421.59%。

赛后，德拉富恩特对托雷斯赞不绝口。

7、签新援！“罗马诺HWG宣”马竞买下中场新人，27岁的他价值4000万

首先要解决的是莫德里奇的去留问题，阿莫林在近期内部会议中明确表示希望留下克罗地亚人。

马斯克也在电话会上说：「这是美国自二战以来最快的全产业链工业化扩产周期。

8、归化是门生意，需满足多方利益！克雷桑主动示好让泰山队压力山大

自2018年以来，三狮军团已第四次闯入大赛四强，这一数字追平了球队此前整个历史的总和。

下半场开场一分钟，阿根廷两次传球失误，本该被阿莱士·巴埃纳惩罚，可他和上半场的奥亚萨瓦尔一样，只把球送进了马丁内斯的手套。

对于一个营收年均增长30%、行业国产替代率还有巨大提升空间的公司，这个估值需要时间消化，但并非不合理。

9、HWG！土耳其豪门签约阿森纳奇兵，32岁老将准备告别阿尔特塔

这样深厚的师生信任构成了团队的底层纽带。

毕竟，像他这样能在大赛淘汰赛阶段挺身而出的球员，实属凤毛麟角。

10、北京国安VS申花：达万客串中卫，塞鸟+孔特坐镇中场，曹永竞冲锋

在原有五位男主长期主线断更、剧情搁置、人设成长停滞的前提下，官方搁置老角色内容迭代，集中产能全力打造全新可攻略男主，在玩家眼中，是单方面撕毁双向陪伴的隐性契约。

英超球队确实有钱，面对超6000万欧元的转会费，阿斯顿维拉高层展现出了惊人的魄力，阿斯顿维拉是目前英超少有的经济较为困难的俱乐部，但还是毅然选择一掷千金买世界杯4场3球2助超新星，这是因为英超联赛很赚钱，阿斯顿维拉花钱买人也能快速赚钱，因此英超球队是越买越强，这其中支撑就是英超球队每个赛季光联赛就有超1亿英镑的分红。

1、曼联5000万英镑签下切尔西中场安德雷·桑托斯

布伦特原油期货9月合约结算价收涨超7%，结算价为100.69美元/桶，为5月以来首次收于100美元之上。

2、湘潭市岳塘区：农村儿童乐享暑期成长营

挪威典型的北欧球队，但他们有着矮个子边锋攻击群，因此进攻也有传控和脚下，甚至是具备的小快灵搭档高人哈兰德。

3、欧冠决赛前瞻：阿尔特塔最不愿碰面的对手来了，但剧本偏离了预期

利雅得新月是最积极的一个，莱奥的铁哥们特奥就在那里效力，并且沙特球队也可以给出让红鸟满意的价格。护肤、刷酸、医美、防晒，钱花在哪才值得？北京时间6月25日凌晨，2026美加墨世界杯B组将迎来末轮焦点战，瑞士与加拿大在温哥华直接对话，争夺小组头名。

4、夺冠幕后功臣！华子自曝支招唐斯对付文班：我给了他一套通关秘籍

三狮军团的短板是高原适应性较差，面对密集防守办法不多，阵地战攻坚效率一般。

5、英国新首相刚上台，就高喊一句口号！对华态度曝光，特朗普很满意

其经纪人皮门塔一直在积极运作球员转会，但目前仅有切尔西进行过非正式问询。

6、羽毛球营销案例｜聚焦核心市场，用行动践行价值，大发汽车塑造羽毛球营销模板

当前，米兰技术团队已经圈定了三位候选者，他们都是能适配边前腰属性的年轻人选。

长鑫在加密市场有一份永续合约叫CXMT，上市消息公布后一度冲到8.64美元，折合市值约3.9万亿，是发行市值的6.7倍。

当“塞内加尔万岁”的呐喊声在达喀尔的上空回荡，我们知道，那个身披10号战袍、永远不知疲倦的边路快马，已经完成了他在国家队赛场上的最后一次冲刺。

7、每天这样 “养腿” 10分钟，一次疏通双腿6条经络，腿明显直了瘦了

阿根廷在又一场充满戏剧性的淘汰赛之夜后，与西班牙会师决赛。

萨索洛中场科内成为米兰重点考察的对象。

8、世界杯淘汰赛首场冷门！德国队4-5出局无缘16强，上半区乱了

正在美国作为解说嘉宾的伊布还要发挥关键作用，兼顾好俱乐部的本职业务，尽快找到一名听话的总监人选，给球队一个明确的方向。

深入实施“人工智能+”行动，加快人工智能在全民健身场地设施、赛事活动、健身指导、宣传推广等方面的应用。

这种“抢份额”与“退老股”并存的局面，恰恰说明一级市场半年7倍的估值膨胀，已将股东回报的期望值拉到了极致。

考虑到米兰已经豪掷7000万欧元签下贡萨洛拉莫斯，剩余预算还要优先补给中后场，伊布主导的对阿拉伊贝戈维奇的投资是一次理性的选择吗？北京时间6月30日上午9点，2026美加墨世界杯1/16决赛将迎来一场焦点对决——F组头名荷兰对阵C组第二摩洛哥。