里奇德转身价2200万欧元，与亚沙里都是去年夏天刚刚加盟的新援。

1、kaiyun官网 Delta衡量期权价对标的价格变化的敏感度；Gamma衡量Delta变化的速度；Theta反映时间流逝造成的价值损耗；Vega反映隐含波动率变化对期权价的影响。

我们希望与行业内成熟、有实力的企业开展合作，包括联合发布白皮书、分享行业经验和最佳实践，为客户提供参考建议。kaiyun官网阿斯拉尼仍在等待西甲冠军的召唤，但他不打算无限期等下去，已开始与莱比锡展开接触。

2、印度冰球首对母子上演世界杯传承：母亲1998年征战荷兰，儿子27年后同地首秀

智谱很早就强调自己不做「中国版ChatGPT」，而是坚持做基础模型和MaaS，通过API、订阅和私有化部署向企业和开发者输出模型能力。

3、快讯丨西班牙vs阿根廷首发名单出炉！终局之战一触即发！

好在贝林厄姆在比赛中保持了克制，没有因此吃到红牌，但英格兰队最终还是吞下了失利的苦果。

4、钱德霍克：迈凯伦2026研发已掉队，应提前把重心转向2027

但说服维拉放人绝非易事。

5、Heath Cummings 2026梦幻橄榄球近端锋分层揭晓：Loveland凭什么占据第一梯队

然而积极的业绩面并未阻止股价下行。

产能过剩对行业盈利能力的系统性压制仍在持续，龙头企业虽有余力，但全行业价格战和利润摊薄的压力并未解除。

这名波黑小将的特点很鲜明，他启动速度快，技术细腻，而且具备不错的得分能力，是一名典型的边路爆点球员。

6、384起家暴案创纪录，英格兰世界杯期间家庭暴力激增

防守端全员参与防守，边后卫内收补位，中卫出球能力强。

单看数据，和他在曼联时期基本持平，但围绕他职业态度的讨论从未消散。

7、【瞰体育】平庸、自负、悲情——世界杯离场者三种表情

经纪人已经开始为球员寻找下家，近期先后与尤文图斯和亚特兰大进行了接触。

"这场比赛非常特别，尤其是在面对英格兰时，带着所有的历史背景。

8、无缘头名！葡萄牙0比0哥伦比亚：淘汰赛战克罗地亚 C罗PK魔笛

这支球队最大的特点就是防守坚韧、战术执行力强。

“普通的娃哈哈1元，百岁山也才2.1元。

虽是玩笑话，但也点出了那一代企业家和足球的深度绑定。

9、美加墨世界杯来了丨阿根廷&德国长袖、短袖、无袖训练服+比赛用球

从VCD时代的数码照片刻录软件，到基于实拍素材的剪辑工具Wondershare Filmora，再到现在基于AI生成的创作平台“万兴剧厂”，在吴太兵看来，这并非跳到一个全新的领域，而是沿着影视创作市场的技术演进脉络的自然延伸。

伤病名单上还不止这两人。

10、惊魂96分钟，浙江队终于等来一针“强心剂”

甘伯体育城的初步检查结果显示，这位荷兰国脚将缺阵三到四个月。

特朗普将奖杯交到罗德里手中。

1、岳阳市疾病预防控制中心温馨提示：中高考临近！这份考生健康备考指南请查收

这条路线链路短、部署相对直接，也能继承视觉语言模型的知识。

2、The Ring掌门人先出手：Garcia嘲讽Benn“正好落入我的口袋”

数据显示，7月21日，碳酸锂期货主力合约LC2609盘中一度跌破13.68万元/吨，创下五个月新低，较5月中旬20.98万元/吨的阶段高点，累计跌幅超三成。

3、告别“奥运限定”，品牌开始用长期主义押注运动员

在有统计以来，阿德耶米以36.65公里的时速位列德甲历史第六快。“裸奔式演出”野过头了2014年巴西世界杯，他以六粒进球穿走金靴，随后从摩纳哥转投皇家马德里。

4、前水星队友狂热赛前重逢，坎宁安笑着拥抱格里娜，这一刻无关胜负

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、149公里时速第一球就横扫击球手！印度新星梅扬克惊艳首秀

第四分钟，亚马尔才完成全场第一脚射正，紧接着西蒙在距球门三十多米处做出一次果断出击解围。

6、“您儿子保卫国家，我们守护您”——岳阳市中心医院医护暖心陪护独居军属老人

对于阿迪达斯而言，这不仅是一次品牌曝光的极致放大，更是一场精准押注后的丰厚变现。

另外还有几名值得关注的年轻球员，包括卡马尔达、西塞和科莫托，他们上赛季在莱切、卡坦扎罗、斯佩齐亚都得到了锻炼，新赛季有机会成为一线队的一员。

但真正让人忧心的，是场外那些事——它们勾勒出的，是因凡蒂诺治下世界杯的未来。

7、造成重大人员伤亡，国务院成立广西六蓝水库“7·6”溃坝灾害调查评估组

德明利预计2026年上半年实现营业收入160亿元至180亿元，同比增长289%至338%；归属于上市公司股东的净利润预计为57亿元至65亿元，同比增长4932.74%-5611.02%。

面对被公认为赛事最具威胁攻击线之一的法国，库巴西再次奉献了老练的发挥。

8、瓜帅：很吓人+前英超金靴：这才是16岁能踢英超的秘密

世界杯赛场两队仅交手一次，2006年德国世界杯1/8决赛，齐达内领衔的法国队3比1淘汰西班牙。

一旦危险序列被合成出来、进入实验室甚至流出，后续再想管控就困难得多。

他还在单场世界杯比赛中梅开二度，成为新西兰足球史上首位做到这一点的球员。

1/16决赛中，墨西哥凭借基尼奥内斯和希门尼斯的进球2-0零封厄瓜多尔，强势晋级16强。