奥卡福被硬推到中锋位置收效甚微，莫拉塔状态起伏且进球效率未达预期，希门尼斯一个赛季下来只在杯赛打进1球，恩昆库更多时候只能作为二前锋使用。

1、博亚平台 Meta直接将2026年资本支出指引上调至1250亿至1450亿美元，几乎是2025年的两倍。

北京时间7月16日凌晨3点，2026美加墨世界杯半决赛将在美国亚特兰大体育场打响，英格兰与阿根廷时隔24年再度在世界杯赛场相遇。博亚平台利物浦此前也报价8500万英镑被拒。

2、郭艾伦离开广州队，广东续约双外援，胡金秋加盟上海队交易被叫停

在莫德里奇缺阵的情况下，亚沙里成为最可能的继任者，这位瑞士国脚本赛季的历程相当坎坷。

3、有魄力！邱彪放弃3大外援，山东要全找新的，离队之人遭4队哄抢

2026年3月，公司完成近10亿元Pre-B轮融资；4月，再获近15亿元B1轮融资，估值突破百亿元；6月，10亿元B2轮融资落地。

4、大行“第一次”：300亿“化债专项”将抵西安

斯卡洛尼治下的阿根廷基础阵型为4-4-2或4-2-3-1，可根据对手灵活变阵。

5、杜锋卸任广东男篮主帅离队第一人？曝杜润旺顶薪加盟南京同曦

”NBA球星安德烈·伊戈达拉的这句话，或许最能概括这一代运动员的心态转变。

"我感觉自己掉进了一个无底洞。

就本届世界杯三场小组赛以及三场淘汰赛所展现的球队实力以及战术内容，可以说法国队是最强的，过去两届世界杯，法国队一冠一亚，成绩非常稳定，本届世界杯的高卢雄鸡进攻更加犀利，姆巴佩、登贝莱、奥利塞、杜埃组成的进攻四叉戟非常犀利。

6、导游带外籍游客插队，被劝阻后反而威胁辱骂，正脸曝光，引发众怒

卢库米刚刚代表哥伦比亚征战了2026年世界杯，合同仅剩1年且明确不会续约，博洛尼亚必须在今夏将其变现，否则明年将面临免费流失。

于是，拓竹第一代产品把摄像头、激光雷达、重力感应等传感器放进机器，重新设计元器件和软件，自研运动控制算法，让喷头在高速运动中保持更稳定的精度。

7、2024年广州国际女子网球公开赛将于10月20日至27日在南沙举行

上半区：矛与盾的终极碰撞，法国死磕西班牙 北京时间7月15日（周三）凌晨03:00，达拉斯AT&T体育场将见证一场当今足坛最强火力的正面对决。

正如部分球迷尖锐指出的那样，“好汉不提当年勇”，更何况在2016年那场决赛中，C罗因伤早早被担架抬离，最终由替补球员完成绝杀。

8、15亿阵容！12亿阵容！随着英格兰和阿根廷晋级，世界杯冠军或只在这两支球队中产生

40岁的莫德里奇当前的优先事项是卡塔尔世界杯，个人的未来规划将在世界杯之后敲定。

那时候他已经淡出阿里一线很久了，穿着深色外套、戴着帽子，混在人群里毫不起眼，安安静静看完了梅西和姆巴佩的巅峰对决。

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。

9、CBA：北控愿意为郭艾伦提供C类合同，吴前敲定浙江老将合同，王浩然个人事务离开中国男篮，曾凡博赴海外治疗

无论终场哨响后比分如何，马竞都已经在这场足坛盛宴中，赢得了最响亮的掌声。

这是一场两代中场核心的直接交锋。

10、刘雨希梅开二度，中国U17女足2-4负朝鲜无缘决赛，身体技术还不错

根据规划，诺坎普球场的屋顶安装工程定于2027年6月启动，这是球场重建项目的核心阶段。

自2024年“924”行情以来，硬科技便成为A股核心主线之一。

1、机器人“一捏”辨真伪花生，一目科技WAIC秀AI视触觉黑科技

截至7月23日，Momenta的市值为648亿港元，仅落后地平线机器人18亿港元。

2、国危思良将！廖三宁高诗岩数据好看作用为负 三赵能回归吗

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。

3、CCTV5直播！韩国迎“生死战”，孙兴慜PK福斯特，赢球=亚洲第一队

这就是算力短缺和资源闲置能够同时存在的原因：用户缺的从来不是一张卡，而是一套“开箱即用、运行稳定、故障兜底”的计算环境。春季“生长贴”受家长热捧，专家提醒要科学干预法国队本届赛事前六场保持全胜，小组赛三战轰入10球仅丢2球，以I组头名强势出线。

4、小兹维列夫今晚温网决赛能否力克职业生涯最大苦主辛纳呢？

中科电气终止103亿元负极材料项目，德方纳米终止100亿元正极材料项目，恩捷股份终止约20亿元的马来西亚隔膜项目。

5、罗德里被指推动转会皇马，但即将接受背部手术

法国本届世界杯延续了2018、2022两届赛事的强势表现，六场比赛全部取胜，累计打入16球仅失2球，场均2.67球的进攻效率位列32强之首。

6、朱芳雨会主动出手吗？广东功勋老臣合同到期，巅峰时期场均砍16+5

一家机器人公司的联合创始人程越感慨，因为实在缺人，他们去年招的一批普通二本和大专生，干了不到半年就被同行用双倍薪水挖走。

如今滔搏已拥有9290万会员，约3800家门店接入即时零售网络，运营超过700个抖音、视频号账号，以及3700多个微信小程序门店，希望把传统门店改造成兼具履约、体验和私域运营能力的新零售节点。

相比之下，耐克大中华区自主权有限，很难像安踏一样实现产品、数据与销售的统一，DTC模式的效果可能被削弱。

7、【CBA联赛】第六轮｜浙江稠州金租79-88不敌宁波町渥

第二：世界杯季军战不那么重要，两队轮换踢对攻大战！对于欧洲足坛而言，世界杯季军战不那么重要，认为这是失败的比赛，第三名和第四名有啥本质区别。

3年的时间里，伯恩茅斯在伊劳拉的调教下排名接连攀升，从接手前的第15名到第12名、第9名，又到本赛季的第6名，率队取得历史性欧战资格（欧联杯）。

8、奥沙利文输球也享受：6小时赢不如2小时赶紧输

必须坚定信心、保持定力，坚持稳中求进工作总基调，扎扎实实办好自己的事，更加注重把握好局部与全局、政策稳定性与灵活性、存量政策与增量政策、公平与效率等四方面关系，在识变应变中把握主动，在攻坚克难中实现新的发展，全力完成年初制定的目标任务，确保资本市场“十五五”良好开局。

模型数量增长，不等于打印理由增长。

相比市场上的其他顶级前锋，努涅斯的转会费预计相对温和，这让他成为巴萨可能负担得起的选择。

GPU 最初为图形渲染设计，后来凭借强大的并行计算能力成为 AI 训练的核心硬件，TPU 则从一开始就瞄准深度学习中的张量计算，它牺牲了一部分通用性，换取在特定任务中的计算密度和能效表现。