努涅斯在沙特的年薪接近税后2000万欧元，这个数字对米兰来说完全是天文数字。

1、yb体育 上述三家中小鹏与中创新航的关联最多，其2022-2023年推出的车型中，绝大部分（小鹏G9、小鹏G6、小鹏P7i、小鹏P5、小鹏G3i 、小鹏X9）都搭载了中创新航电池，且合作程度在2023年进一步加深。

最初是假设期：投资者看到可能存在错估，但证据还不完整。yb体育与此前兜售托纳利、佳夫类似，俱乐部可能决定在6月30日前出售一名核心球员，以避免账目以过高赤字收尾。

2、今天的“基列国”发生了什么？

目前的金球奖概率榜上，梅西以17%的支持率稳居第二，仅次于凯恩。

3、不想加班!法国队对踢季军战感到恶心,队员们迫不及待去迈阿密度假

IDC数据显示，2026年全球数据总量将达274ZB，2030年将飙升至718ZB。

4、詹姆斯下家迟迟未定，个中原因令人心酸！

同一脚踝在不到一年内第三次扭伤，这是当时德容巴萨生涯最严重的一次伤病，休战超过五个月。

5、打死4名印度人，俄罗斯还敢放狠话警告莫迪，再闯黑海照样打

世界杯上，戈登在1/8决赛对阵刚果民主共和国时替补登场，参与了英格兰的逆转，成为世界杯历史上首位在单场淘汰赛替补送出两次助攻的球员。

面对非洲冠军摩洛哥，法国队不仅全场压制对手，更让其全场仅有一次射正，射正比8-1。

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。

6、千问上线足球预测AI助手，挪威对阵塞内加尔只能打平局？

talkSPORT记者亚历克斯·克鲁克披露，蓝军近期对伯恩茅斯的亚历克斯·斯科特提出问价，但已遭回绝。

江波龙在存储产业链中处于中游位置，从三星等原厂采购晶圆，经自研主控与固件封测后向下游供货。

7、能否竞争GOAT？字母哥：现在还不行 但在热火夺冠或许可以

而那些依然依赖单一客户、缺乏技术壁垒、无法跨越合规门槛的企业，成年可能意味着一场安静而残酷的淘汰。

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。

8、马拉松抽签，悄悄筛除老年人？

有人拿出全家积蓄，最后血本无归；有人投进去近百万，每天从早忙到晚，赚到的钱只够付房租和工资。

谁能想到，这位身材并不高大的39岁老将，在中场的肉搏与缠斗中，竟能展现出如此强悍的生存能力与韧性？再加上场均9分的官方评分位列第一，梅西用无可挑剔的表现，锁定了本届赛事的绝对统治力。

结语 2026年7月15日，世界杯半决赛，西班牙2-0完胜法国。

9、AI短剧"匹配危机"：12.8万部产能背后，90%的公司在亏钱

孔蒂与那不勒斯的合同截止到2027年6月，年薪达到800万欧元。

县域封牌，6万亿僵尸基金清退 54号文的影响远远超出了创投圈本身，它像一把手术刀，切中了过去十年地方经济招商引资的核心痛点。

10、没有本菲卡的穆里尼奥，欧联杯都进不去吗？红鹰掌门大概率要下课

油价还会涨多少？中信证券指出，美伊核心分歧短时间无法真正解决，霍尔木兹海峡通航问题仍将继续扰动全球资产。

随着巴黎圣日耳曼的贡萨洛·拉莫斯、拉齐奥的吉拉先后敲定，AC米兰今夏累计投入已突破1亿欧元，而按照老板卡尔迪纳莱给出的2.5亿欧元总预算（含球员出售回血，并非纯现金投入），这笔钱还远没到花完的时候。

1、上海足协就中超上海德比发出倡议：尊重赛场各方，抵制网络戾气

不少玩家早已厌倦了千篇一律的温柔完美男主，期待乙游人设能够百花齐放，接纳复杂、立体、带有争议性的多元角色。

2、阿根廷VS西班牙，谁能夺冠？库里给出了自己的答案

可当联邦法律明确删除处罚牙齿，排放超标突然变得没有代价，买家集体退场。

3、德天空：多特为卡雷察斯报价3000万欧+500万欧浮动遭根克拒绝

结语 本场的主要胜负手有三个方面，一是萨卡的跟腱伤势能否支撑其首发出场，他的边路爆破能力直接克制克罗地亚三中卫体系；二是莫德里奇的体能状况，40岁高龄对阵快节奏的英格兰能否支撑90分钟高强度对抗；三是定位球攻防，两队都精于此道，定位球很可能决定比赛走向。中国男篮排名下降，列第30位！在亚洲地区目前排名第五算力规模要继续做大，只能靠一件事，就是把更多芯片用更快的方式连起来。

4、CBA快讯！北京男篮欲交易杰曼，林秉圣离开CBA，北控主帅确定哈里斯

催化剂已经发生，市场完成主要重估，剩余收益不再补偿风险。

5、冤枉栗子这么多年！这个“碳水炸弹”竟是隐藏的养生大佬！_网易订阅

巴萨对这位中卫的欣赏，最终是否会转化为正式接触乃至报价，还有待观察。

6、打压刘国梁 逼走陈忠和、排挤郎平？“体坛恶人”魏纪中再破天花板_网易订阅

推动创新主体开展推理架构等关键技术攻关，通过异构协同、存算协同以及智能调度等降低推理成本，加快推理缓存复用、智能任务路由等应用层效率优化，全链路优化提高Token效率。

虽然近年来米兰在9号位的投入相当可观，却几乎全部打了水漂。

因此，在同一轮资本开支中，光模块厂商总是最早拿到订单、最早确认收入的那一个。

7、北京男篮重磅补强！曝国手王俊杰确定加盟，外援锁定布朗和琼斯！

西班牙对佛得角的揭幕战，加维首发并踢了71分钟，但此后巴埃纳在对沙特一役回归首发，加维退出了主力阵容。

AI服务器、AI PC、边缘智能硬件对代码型存储NOR Flash需求大幅提升，单台智能设备NOR搭载量相较传统硬件提升数倍；工业控制、新能源汽车持续扩容，进一步夯实存储芯片需求基本盘。

8、“倒贴99元替别人遛狗”，年轻人捧红这门赔本生意

比亚迪重庆璧山20GWh产线预计2026年Q3启动生产（混合固液路线），全固态产品小批量量产则指向2027年。

（图片系AI生成） 7月24日，广安爱众（600979.SH）股票低开低走，截至收盘报3.79元/股，跌6.65%。

再见，萨迪奥·马内。

一签赚4300到8300元。