26人大名单中有14人效力于德甲联赛，被球迷戏称为“德国二队”。
摘要：尽管同胞主帅的到来给留队增加了变数，但从目前形势看，莱奥夏窗离队依然是更大概率的结果。
为此，他不惜牺牲短期的盈利能力，甚至放任核心汽车业务的利润率下滑，只为All in未来。
1、亚搏手机 法国国脚拉克鲁瓦正是切尔西眼下正在推进的目标。
企业听完，第二天就去别的地方了。亚搏手机早在7月6日，尤文方面就已开始着手了解维卡里奥的情况。
2、卡里克全速抢人！曼联瞄准英格兰超新星！世界杯一战封神
7月22日美股盘后，谷歌母公司Alphabet发布2026年Q2财报，期内实现营收1198亿美元，同比增长24%；经营利润407.7亿美元，同比增长30%；经营利润率34%，同比提升2个百分点。
3、英格兰半场变脸，贝林厄姆拯救图赫尔
然而决赛之夜，当西班牙球员列队等待加冕时，特朗普无法回避。
4、西班牙VS比利时：西班牙实力更强但有隐患，比利时有望守平
进攻端，澳大利亚主要依靠两种手段：一是定位球头球，利用苏塔的身高优势在角球和任意球中寻找机会；二是快速反击，断球后直接长传找边锋，利用速度冲击对手身后。
5、高质量发展进行时
足球还是那个足球，只是看台上的人，想的事情已经完全不一样了。
2026年1-5月全球动力电池装车量23.8GWh，位列全球第四。
好的凸性，不是来自筹码便宜，而是来自有利的生存条件。
6、曼联接近打包曼城2名16岁天才，阿森纳抢人失败
那么，在厂商纷纷押注的当下，什么是真正的世界模型？智象未来创始人梅涛对这个问题有一个清晰的界定：一个真正的世界模型必须同时具备三个能力，表达世界、推演世界、构造世界。
更关键的是他曾多次在公开场合宣称自己是米兰的忠实球迷，当然布鲁日是很难缠的谈判对象。
7、三人进球破纪录却颗粒无收 谁来拿2026金球奖？
55分钟过去，梅西依然是全场唯一保持百分之百传球成功率的球员，只是他在比赛中几乎没有多少存在感。
另一方首发是托莫里、加比亚、泰拉恰诺；阿泰卡梅、里奇、穆萨、卡拉卡；洛夫图斯-奇克、盖尔尼耶；卡马尔达。
8、转会窗：尤文考察巴洛贡和奥亚萨瓦尔，戴维渴望留队
面对线上业务的收缩，滔搏董事会主席于武公开回应称，理解并尊重耐克基于长期发展战略做出的渠道调整决策，坚信中长期看将推动零售生态更加健康有序。
这粒进球不仅挽救了球队，也让贝林厄姆在本届世界杯的进球数达到5粒，正式超越鲁尼，升至英格兰队史大赛进球榜第四位。
瑞芯微预计2026上半年营收预计28.7-29.1亿元，同比增长40.28%-42.24%，归母净利润8.5-9.1亿元，同比增长60.03%-71.33%。
9、两战轰44+11+9！天赋远超丁彦雨航，4年后男篮新星或有望闯进NBA
球队近五场比赛完成53次射门、获得22个角球，进攻端的压制力十分突出。
但球队也存在明显短板，前场核心鲍姆加特纳整届赛事伤缺，阵地战创造力大幅下降，得分手段相对单一，定位球头球抢点是重要的破密集防守方式。
10、2026世界杯落幕，波切蒂诺去留未定，美国男足五名候选新帅出炉
对于当下热门的scale-up光学，产业链大咖进行了激烈的意见交换和畅想。
你要保持主动，压力在阿根廷那边，你得让他们觉得翻不回来。
1、咱们身边事丨乌鲁木齐八一中学领办示范校在吉木乃县揭牌成立
当挪威人从梦中醒来，面对强大的三狮军团，他们需要哈兰德继续扮演终结者；而英格兰若想挺进半决赛，也必须限制住这位昔日队友的致命威胁。
2、宝藏男孩！买乌郎战大连继续首发，刘彬彬小德赵剑非都走了，一将有点尴尬
更令人担忧的是，整体运营利润率已经跌至惨淡的1.4%，同比大幅下滑了269个基点。
3、张君豪破门 中国U17逼平尼日利亚
据报道，尤尔曼认为自己在葡萄牙体育的周期已经结束，几个月前就和俱乐部主席达成了协议，今年夏天可以以大约3500万欧元的价格离开。北京一凶宅952万元拍卖，1人报名但未出价“内耗”“松弛感”“自洽”“配得感”“能量”，负责描述当下：我的精神电量还剩多少，我是否活得舒服。
4、2026美网正赛名单里没有郑钦文的名字
但他们不约而同地被“卡”在了算力上，不得不靠提价、限购等措施来抑制需求。
5、香港57岁男子贪300元性服务，洗完澡发现11万港元劳力士名表被盗报警求助，涉案35岁内地女子离境前被捕_网易订阅
科特迪瓦宁可牺牲控球也要保证反击速度，首战对阵厄瓜多尔控球率48%，但射门15次、预期进球1.68均占优。
6、3胜14负惨淡收官，皮特·卡罗尔无奈坦言：我搞不定这支烂队
现年25岁的恩佐与俱乐部的合同签到了2032年6月。
在总助攻榜上，他以4次助攻暂时落后于法国球员奥利塞的5次；在射正榜上，他以18次微弱劣势落后于姆巴佩的19次；在被犯规榜上，他以16次落后于多库的18次。
TPU 又被推到台前，原因是推理成本 大模型训练依然昂贵，但训练是一段相对集中的投入，推理则是一笔持续发生的成本账。
7、五大仇家寻仇大连！10天双线两战河南，梭鱼湾想办泰山+铁人都很难
进球后的激情呐喊，是阿尔瓦雷斯压抑许久的情绪释放。
本次投资旨在紧抓AI技术发展浪潮，完善公司在AI“云、管、端”全链条的战略布局，扩大经营规模并提升效益。
8、1.16亿镑新援放话：曼城才是曼彻斯特之王，他曾是曼联今夏目标
该训练营定于7月27日至8月3日进行，届时他希望逐步恢复比赛状态。
随着智驾赛道持续发展，行业内的竞争也愈发激烈。
瑞浦兰钧联合TÜV莱茵与Circulor推出的电池护照项目，98组独立验证数据集已获欧盟NB机构第三方核验。
美国的亚特兰大之夜，三狮军团在1比0领先的大好局面下，被阿根廷人终场前连灌两球，恩佐·费尔南德斯和替补登场的劳塔罗·马丁内斯联手完成了逆转。
坐标泸州！一场书画界的“高手局”即将出招
1987年保时捷944S项目车无底价开拍：2.5升引擎不工作
80岁特朗普嘲讽3.28亿豪门总输球，带头大做争议手势：“他们不让做，你们就做！”
安踏的攻与守，李宁的破与立
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- 1 西班牙一路轻松闯入大都会人寿球场的决赛舞台，此前比赛只丢一球，从未陷入落后。
- 2 2021年国内装机量排名第三，市占率5.9%，2022年港股上市。
- 3 ”斯卡洛尼在发布会上说完这番话后，泪洒现场。
- 4 英格兰拿走了季军奖杯和60年来的最佳成绩；姆巴佩和奥利塞则带走了金靴和助攻王的历史级荣誉。
- 5 本赛季上半段，米兰一度呈现出遇强则强、遇弱更弱的状态，但从最近2个月的战绩来看，他们也不再“挑食”了，什么级别的对手都能输。
- 6 引爆点来自上海出台的直接融资“20条”，其中明确提出要推进可控核聚变、具身智能、大模型、量子计算、脑机接口等未来产业企业在科创板上市，并持续扩大第五套上市标准的适用范围。
- 7 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。
- 8 然而，真正的巨星从不会被一时的挫折击倒。
- 9 如果不是赛程在关键时刻送来了阿斯顿维拉这个"完美对手"，结局可能更加不堪设想。
- 10 这不是微调，而是整套思维方式的替换。
- 11 需求溢出的背后，是其商业化数据的陡坡式增长，ARR三月翻三倍，B端正在实现规模化变现。
- 12 2026年美加墨世界杯四分之一决赛在即，英格兰队将于本周六迎战挪威队。
- 13 目前，球队已有普利西奇和恩昆库，但为了应对多线作战，俱乐部需要再引进一名前腰。
- 14 本届世界杯上，他作为中场主力帮助阿根廷队闯入了半决赛。
- 15 就在瑞士队士气大振之际，场上出现了极具戏剧性的一幕。
- 16 两粒都出自巴萨球员。
- 17 在夏窗未能及时补强后腰短板、中后场伤病满营的背景下，教练组未能通过战术捏合弥补阵容缺陷。
- 18 这一结果，彻底点燃了球迷和媒体舆论的火药桶。
- 19 GLP-1的故事告诉行业一个朴素的道理：科学可以等你，但市场不会。
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