安东尼·戈登在下半场初段为英格兰取得领先，第55分钟他将摩根·罗杰斯的传中球送入网窝。

1、米6体育 公司预计二季度调整后每股收益为2.93美元，营收约172亿美元，均低于华尔街此前的普遍预期。

美光本财年三季报显示，公司营收414.6亿美元，同比激增346%，环比增长74%，净利润大增超100%，攀升至282.4亿美元。米6体育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。

2、7人离队，4人加盟！火箭队组建全新阵容，引援未结束？斯通仍有后手

很多人只在买入时计算赔率，之后便把注意力放在盈利金额上。

3、李春江离开山西队，点解？候向锋道出了原因

随着2026年美加墨世界杯1/4决赛全部落幕，本届赛事的四强版图正式揭晓。

4、利物浦有信心1亿签下巴黎边锋巴尔科拉 阿森纳再遭打击

此外，南非双核复出后，中场实力明显提升，而加拿大失去了科内，此消彼长之下，南非中场甚至可能不落下风。

5、山东泰山连丢4球惨败浙江，心态全面崩溃，王大雷5次神扑难救主

主裁判第一时间判罚帕雷德斯犯规，但在VAR介入后，慢镜头清晰显示恩博洛在没有任何身体接触的情况下假摔。

尽管这笔收入为俱乐部提供了资金支持，但由于国际足联调整了分配模式，该金额较2022年卡塔尔世界杯时的443万欧元大幅减少。

谷歌 TPU 的经验说明，专用芯片的价值往往建立在完整的软硬件体系之上，对于国内厂商而言，芯片研发、量产交付和软件生态仍需同步推进。

6、轰34分12助又砍31分11助！超级外援彻底摊牌了，中国男篮苦主浮现

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。

与此同时，加比亚、萨勒马科尔斯、托莫里和巴尔泰萨吉4名在阿莱格里时代被委以重任的核心，恐怕都将被葡萄牙教头边缘化处理。

7、使用富士X100VI的第三年，我拍了这些照片

比利时代表着欧洲拉丁派的细腻传控与阵地渗透，而塞内加尔则承载着非洲足球的强悍体魄与极致反击。

巴尔泰萨吉的挑战则来自阿莫林对翼卫角色的定位，阿莱格里敢于启用这名青训产品，是看中他的可靠性与技术意识，但阿莫林更偏爱边路爆点型选手，达洛特、马兹拉维、多尔古、马拉西亚、昆达、努诺·门德斯等等，无一不具备速度、爆发力与技术。

8、2020澳网外卡赛张择/公茂鑫憾失冠军 中国2少年获青少外卡_网易体育

目前尚未就续约展开任何谈判。

从上游锂盐到下游电池，产业链多数企业实现同比大幅增长。

HAMR技术希捷已经研发了二十几年，我们是通过技术突破来消化成本的，产品硬件物理规格没有变化，但容量增长了很多。

9、得分+助攻+三分联盟第一！头号持球大核！最好的一年，最痛的结局

这支球队身上，有一种打不垮的东西。

盘后谷歌持续下跌，最大跌幅超过4%。

10、32年后巴西又回美国参加世界杯了，可父亲已经不再陪我看球了

"世界模型第一股"的赌注 极佳视界至今没有公开收入、毛利率、亏损、订单金额等。

小组赛前两轮的表现，更能反映两队的真实状态。

1、美媒评自由市场TOP5控卫：哈登留骑士悬念不大，威少3大下家曝光

沈亦晨称，曦智科技实际上两三年前就开始加速在光交换方面的布局，尝试在国内跟产业链企业合作，目标就是填补这片“空白”，不让中国在这个技术方向上被彻底拉开距离。

2、对话蚂蚁数科：打造商业智能体超级工厂，生态共建中国行业版Harness标准

HAMR技术希捷已经研发了二十几年，我们是通过技术突破来消化成本的，产品硬件物理规格没有变化，但容量增长了很多。

3、费解，NBA史上有比雄鹿加里·特伦特6400万美元合同更荒谬的合同

科内报销让中场硬度和推进能力都降了一档，戴维斯虽然复出但状态远没到最佳，毕竟5月初才受的重伤，一个多月时间很难完全恢复。辛纳卫冕温网：稳定到让人无法呼吸知道得早，就赢了一半。

4、库明加计划受阻？曝湖人已询价独行侠3D悍将，若交易不成拿他当B计划

没有人知道他支持哪支球队，但数次世界杯赛场的看台上，总能找到他的身影。

5、比砒霜还毒！一盘凉拌黄瓜致男子肝衰竭，医生建议：出现这种情况直接扔掉

关键就一句：大厂的暑期实习，往往在大二下就要动手。

6、杜锋合同到期，徐杰征战德鲁联赛，广州要求重新沟通徐昕租借问题

追本溯源，“懂需求”既是他们商业化的起点也是最终实现闭环的锚点。

行政层面的拖延一度引发了短暂的摩擦，阿贾克斯曾发出警告，称由于球队首场正式比赛临近，他们可能选择退出。

在印第安纳大学的实验室里，这位前礼来科学家持续深耕多靶点激动剂的研究，聚焦于同时靶向GLP-1、GIP和胰高血糖素受体的单分子多机制肽类激动剂。

7、大厂AI，激战高考

合规与内控漏洞方面，旭阳新材及其子公司收到了来自海关、统计局、税务局、应急管理局等多个部门的行政处罚。

6月排产中，储能电芯占比进一步升至约41%。

8、1990年春晚彩排时，凌峰对李瑞环说：我不英俊，你也漂亮不到哪去

他和拉马尔一样独一无二，我们必须90分钟全程保持警惕。

两届世界杯，乌拉圭最好的后卫之一，从未踏上过世界杯的草皮。

目前阿莫林已与米兰签署一份直至2029年6月30日的长约，他将在补强阵容的引援和夏季可能进行的出售中拥有重要话语权，这一点和阿莱格里执教时期形成鲜明对比，阿莱格里虽为名帅，但在转会操作上话语权十分有限。

我希望他说的是真的。