目前托莫里合同仅剩一年，今夏是俱乐部避免其自由离队的最后套现机会。

1、ob体育 他们堕落到什么程度了？就算他们是对的，关心热刺本身就说明他们输了。

与之相反，那些在IP运营维度已经得到验证的业务方向被快速推进。ob体育只握着一个平台入口、无法触及网络存储和计算环境的公司，根本给不出“任务何时能跑完”的确定性承诺。

2、「长江十年行」探访长江重庆段清漂一线：机械作业守护一江碧水

谁能长期交付稳定、可用的算力，谁才真正赢得这片市场。

3、身价7500万欧元，近11场却0球0助攻，世界杯第一水货诞生了

另一个有名气的目标是波切蒂诺，但阿根廷人与美国国家队有合同在身，今年夏天还要参加作为东道主的美加墨世界杯。

4、快船猛龙交易叫停！需等小卡阴阳合同案出结果 多伦多仍渴望迎回他

到那时，藏在附注里的数字就会跳出来吞噬现金，自由现金流将遭受利润表和表外负债的双重打击。

5、满配华为乾崑六件套 东风奕派M8限时权益价16.58万起

即便锂价持续下行，天齐锂业也会是行业内最后陷入亏损的企业。

提到新鲜零食，用户首先想到的是专门店、烘焙连锁，便利店天然缺乏专业心智。

高空球和定位球是瑞典队的传统杀招，凭借身高优势，他们在角球、任意球进攻中威胁极大。

6、打败Fable 5！Kimi K3冲上第一，杨植麟导师很骄傲

合规部门要求“立即起诉大股东执行回购”。

以上8名球员累计为米兰带来1.018亿欧元的财政收入，这也打破了俱乐部尘封20多年的卖人纪录，并且在2026年6月30日前可能还会有新的交易产生。

7、两次落后两次追平！日本队无惧荷兰，亚洲球队至今保持不败

泡泡玛特国际集团副总裁、城市乐园总经理胡健认为，乐园最重要的使命，是让IP「动」起来。

加时赛半场，马丁内斯触球次数全队最高，62次。

8、FE上海站拍摄手记：一套趁手的兵器有多重要

索博斯洛伊的价值，远不止于冰冷的数据。

” 阿浩撑了大约九个月，开店时他刚过完26岁生日，闭店那天，他感觉自己老了十岁。

法国vs西班牙，比赛看点如下： 第一：两队情况！法国世界排名第一，球队总身价15.2亿欧元，本届世界杯最贵球队，平均年龄26.6岁，来自五大联赛的球员共有24人；西班牙世界排名第三，球队总身价12.2亿欧元，本届世界杯第三贵球队，平均年龄26.2岁，全队球员均来自五大联赛。

9、顶薪先生连场弃用！成山西管理层开刀第一人？苦坐冷板凳表情沉重

从苹果到三星，从字节到OpenAI，从手机厂商到模型公司，所有人都在抢跑同一条赛道。

生态的另一面是责任，而泡泡玛特与拓竹的纠纷已经提前暴露了这个问题。

10、西班牙夺冠功臣壁画被毁，上面写着：“P*** Espanya”

防守时全员退回半场构建低位防线，进攻端梅西回撤接球组织，利用个人能力撕扯对方防线，阿尔瓦雷斯和小西蒙尼提供速度冲击，后招则是劳塔罗和阿尔马达。

最后是培养即筛选。

1、印度人正在涌向中国避暑，但评论区吵翻了

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。

2、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

目前作为总监目标的朗尼克和作为主帅目标的格拉斯纳均对米兰的项目抱有浓厚兴趣。

3、杜锋不再担任广东主帅！球迷：天亮了！背后或是篮协下的一盘大棋

西班牙在本届赛事中展现了令人窒息的统治力，他们至今仅失一球，传控体系完美克制了法国等强敌的高位压迫。轻便的代价是什么？深光35/2.2&七工匠40/2.5试用长期主义沉淀“看赛”品牌资产 从更长的时间维度来看，不难发现乐事对“观赛场景”已有长期的深耕。

4、男篮最可怜国手！2米26徐昕坐穿板凳两场仅打28秒，请假暂别冲NBA

但这类用户的获客成本也很高：“在美国，一些 Vibe Coding 工具获取一名程序员注册用户的成本可能达到数百美元；一个高质量注册用户的成本可能达到上千元人民币。

5、城市心跳，春日跃动！和Keep一起解锁香港新玩法_网易订阅

不少球迷在社交平台上留言表示：“最后费利佩那个爆杆打横梁真的太可惜了，差点就完成了绝杀。

6、我花40万追的老公，被公司亲手毁了

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。

两粒都出自巴萨球员。

阿根廷与西班牙的巅峰对决，不仅是一场关乎大力神杯归属的生死战，更是一场充满宿命色彩的史诗对决。

7、罗马诺：切尔西和多支意甲队关注波黑18岁前锋阿拉伊贝戈维奇

从技术特点来看，阿拉伊贝戈维奇盘带能力出色，擅长在边路利用节奏变化和假动作突破对手的防线。

2025年，公司征程系列硬件的总出货量为401万套，同比增长38.8%。

8、有人预言：从下半年开始，社区食堂、预制菜，很可能迎来行业新一轮洗牌

以Hirono小野为代表，泡泡玛特也在为更多IP开设独立品牌，进行专属品类经营。

全志科技预计2026年上半年归母净利润为4.75亿元—5.15亿元，同比增长194.73%—219.55%。

米兰与科内的经纪团队之间已经完成了初步的试探性接触，不过球员当前的首要任务是帮助萨索洛顺利收官，并随加拿大备战世界杯，转会要等到7月再做决定。

数据孤岛，被算力叙事掩盖的真问题 钛媒体：今年WAIC，你看到了哪些洞察和趋势？ 俞康：整体来看，智能机器人方面，与去年相比变化不算特别大，很多展示仍然依靠遥控操作。