扩产仍在继续，只是扩产资格正在被重新定义：只有具备技术壁垒、利润积累和全球合规能力的企业，才有底气在他人“踩刹车”时继续“踩油门”。

放弃皇马王牌！曼联锁定 5000 万世界杯天才，实力碾压楚阿梅尼

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摘要：这种不确定性很可能会影响球员的备战状态，甚至可能导致一些核心球员产生离队的想法。

芯片战争打到最后，拼的不只是谁拥有最先进的芯片，而是谁能制造机器，谁能掌握零部件，谁能组织成千上万名工程师，持续把一代又一代产品送进工厂。

1、博亚平台长期主义沉淀“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。

据西班牙媒体报道，利物浦已向巴萨开出报价，希望将费兰·托雷斯带回英超。博亚平台2026美加墨世界杯H组首轮将在迈阿密体育场展开较量，沙特阿拉伯对阵乌拉圭。

2、1962年雪佛兰克尔维特“心脏移植”：327扩缸至331，四轮碟刹上身

看着这些画面，重温那段历史，对我们有帮助。

3、中超第9轮裁判选派：马宁执哨申花战成都蓉城，错漏判裁判复出

锋线上，29岁的路易斯·迪亚斯是前场最可靠的爆点。

4、35k英里2011款奔驰GL450无底价出售，搭载4.7升V8与4MATIC全驱

To B需求会增长但最终存在上限，API可以支撑公司生存却不一定能带来超额利润。

5、威尔士足协指控新圣徒主席发布AI裸女视频，此前曾因歧视帖被罚禁赛10场

时隔16年，斗牛士军团重返世界杯决赛舞台，静候英格兰与阿根廷之间的胜者。

埃及分在G组，取得1胜2平积5分的成绩，以小组第二晋级，他们面对比利时这样的强队不落下风，面对弱旅也能稳稳拿下，防守端虽然丢了3球，但考虑到对手的实力，这个成绩已经相当不错。

不过，米兰要动手的前提是先完成中场的清理工作，只有腾出名额和薪资空间，才会正式推进霍伊别尔的转会。

6、这辆AEV改装牧马人已行驶7.9万英里，为何仍令人垂涎？

主帅瓦赫比在雷格拉吉留下的4-2-3-1体系基础上进行了优化，球队无球状态下可快速切换为5-4-1密集防守，双后腰牢牢封锁中场传球线路，两名世界级边后卫阿什拉夫和马兹拉维则成为球队进攻的主要发起点。

Dario认为，把一个AI模型在生物化学方面的能力，从本科生水平提升到研究生水平，也许不会让普通聊天机器人用户兴奋，但对辉瑞这样的制药公司来说，这很有价值。

7、一天夺4金！省运会射击项目再传喜讯

值得一提的是，西班牙近8次对阵比利时保持不败，其中7场胜利，展现了压倒性的心理优势。

最让人无语的还是萨勒马克尔斯，他的情绪管理始终是个大问题。

8、榆中8家企业赴天津开展农特产品推介暨展销活动

这也是陶冶一直强调软件和生态的原因。

罗德里在西班牙捧起队史第二座世界杯的征程中找回巅峰状态，荣膺象征赛事最佳球员的金球奖。

尤文图斯的介入则为托莫里的转会增添了更多变数。

9、杰伦布朗换不到字母哥，FMVP不如边角料，我们可能错怪雄鹿了

下面，我们就以“国家队”重仓的智象未来为例，拆解一下这个赛道的护城河。

特朗普加码对伊朗的战争威胁，称“只要伊朗在霍尔木兹海峡袭击一艘船只，美国都将轰炸并摧毁一座伊朗桥梁或发电厂”。

10、中国羽毛球公开赛：国羽单打4战1胜3负，韩悦出局，男单无缘四强

从小组赛首轮表现来看，两队都打出了各自的战术特点。

具身智能赛道最猛融资速度极佳视界的融资速度，几乎是按月计算的。

1、转会窗：尤文加速追求B席，弗拉霍维奇续约成迷

不过最近一次交锋已经是10年前，西班牙在友谊赛中客场2-0取胜。

2、王云蕗痛批解说恶意带节奏，呼吁球迷理性观赛

云吸猫越吸越空虚，但真养一只，房东又不允许，我也怕没时间陪伴它，让它抑郁。

3、鲁能踢三镇足协杯首发预测！王大雷和高准翼无缘，久违强援复出

肯给在校生开正式工级别的薪水，背后算的是三笔账，而且算得极清。意外！宿茂臻首次公开透露马德鲁加最近伤势恢复情况，值得期待三狮军团的难，难在过度依赖核心球员，难在缺乏能够真正分担压力的轮换阵容。

4、数据里的棉纺织丨棉纺织市场大调查——市场氛围维持平淡，企业心态保持谨慎

这笔租借对特尔施特根而言，是一次关键的竞技层面重启。

5、教育部发布预警：警惕通过假通知书诱导向机构个人转账

1/16决赛中，加拿大对阵南非，全场占据优势但久攻不下，直到伤停补时第92分钟，队长欧斯塔基奥轰出死角远射完成绝杀，队史首次闯入世界杯16强，创造了加拿大足球的全新历史。

6、大冷！哈弗茨破门+失点德国点球大战败北无缘16强诺伊尔：极其痛苦

而在科技领域，姆巴佩今年3月参与了法国数字健康保险公司Alan新一轮1亿欧元融资，这笔投资以50亿欧元估值完成，姆巴佩本人还将以品牌大使身份参与公司运营。

另外，拉莫斯本人的意愿也很重要，他是愿意去米兰接受新的挑战，还是更倾向于留在巴黎竞争位置，或者去其他更有竞争力的球队，这些都是未知数。

可真到了场上，这两人中会有人成为主角吗？双方开场都很积极，场面一度颇为好看。

7、@邵阳人速看，事关你家孩子安全！

受限于不同的市场环境，Anthropic的这套模板虽然并不能被中国的模型公司直接照搬，却意味着他们不必只在「做一个中国版ChatGPT」和「转型做应用」之间二选一，而是有了另外一条已经被阶段性验证过的前进方向。

将这套成功的管理团队整体移植到米兰，能够最大程度地减少磨合成本，快速提升俱乐部的运营效率。

8、“科技赋能书香筑梦”青少年科技体验活动在省图书馆启动

任何一个环节被卡住，都可能影响整台设备的生产和交付。

同样的问题，也是7-Eleven需要面对的。

目前米兰阵中并没有相同类型的人选，管理层开始在转会市场积极寻找，具体要求是技术出众、年轻有潜力、至少能达到轮换的水平，目前他们已经列出了一份5人名单。

从近期状态来看，两队都保持着出色的竞技水准。

谷歌，被罚8.9亿欧元 7月2日17:00关闭！泸州市2026年中高职衔接五年贯通培养志愿填报温馨提示世界杯32强已定13席：巴西夺头名！韩国待定亚洲杯冠军出局美媒评现役MLB名人堂前景：奥塔尼等3人新晋“即刻入选”行列

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穆里尼奥封神！皇马放弃 1.2 亿巨星太明智，世界杯决赛彻底崩盘

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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。[2026]

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但这笔钱不光是为了解决眼下的流动性问题，也反映出俱乐部对明年夏天可能再度面临财政限制的预判。

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但这恰恰说明，黄金的反弹更多依赖“别人犯错”，而非自身变强。

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2030年，西班牙男足将作为东道主之一（与葡萄牙、摩洛哥联合举办）在家门口卫冕。

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对于姆巴佩而言，这位“天敌”或许是他职业生涯最难翻越的高山；而对于亚马尔，这仅仅是传奇的开始。

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