美加墨世界杯小组赛第二轮即将打响，东道主墨西哥将在主场迎战亚洲劲旅韩国队。

鸿蒙 6.1.0.135 已分批推送！你的鸿蒙手机收到么？

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摘要：以下分析基于各种渠道的信息、社交媒体上的碎片、以及各网站上转会信息的整合。

Q2谷歌Capex投入449亿美元，同比翻倍。

1、星空官方据梅根本人透露，她带着孩子在纽约肯尼迪国际机场被困了整整24小时，原因是航班在跑道上原地取消。

看完对两支球队的战术分析后，相信广大球迷心里会得出自己的答案。星空官方低估的事实存在，但市场价格却没义务立刻承认事实。

2、官宣！重返广州！

这些经验不止服务于乐园经营水平的提升，也有利于泡泡玛特整体IP运营能力的升级。

3、为何詹姆斯和科比在湖人晚年的待遇如此天差地别？

疯狂的行业周期，带来过极致的利润红利，也引发了惨烈的业绩崩塌。

4、倪萍万万没料到，评价邹市明的一句话，直接把她推上舆论风口浪尖

但从砸钱的重磅引援来讲，塔雷还是有些看走眼了。

5、私藏清单｜10件被问爆的冷门好物，几十块用到爽~

据塞尔电台记者桑蒂·奥瓦耶透露，巴萨方面仍有提升报价的空间，但前提是通过与表现挂钩的浮动条款来实现。

就阵容实力而言，英格兰是要强于阿根廷，但梅西是非一般的战力，对阿根廷全队有着属性加成。

接下来两周时间，将决定莱奥和福法纳的未来去处。

6、辽宁队不留情面，韩德君上任，四大王牌全部淘汰，郭艾伦回归揭晓

据都灵方面的消息人士透露，由于马丁内斯交易迟迟无法推进，尤文预计将很快向热刺发出新一轮正式询价。

但目前这名球员完全专注于加盟切尔西。

7、固收+规模突破3.5万亿创新高，转债却在被悄悄“挤出”

两人同为葡萄牙体育出身，相似的成长轨迹加上同胞身份，理论上能够成为莱奥改变想法的契机。

俱乐部首席执行官米格尔·安赫尔·希尔·马林在世界杯决赛前接受采访时重申了立场，把阿尔瓦雷斯离队的大门关得严严实实。

8、买药不再跑断腿丨哈市药品“一码通”升级，新增智能电话机器人、家庭医生一键连

赛季初，他与队友邦多一起被租借到克雷莫内塞，不过邦多是纯租借，泰拉恰诺的合同中设有强制买断条款，前提是球队能够成功留在意甲，买断费用设定在300万至400万欧元之间。

而在固态电池的喧嚣之外，还有一个被大部分人低估的变量正在悄然成型。

综合各招聘平台与在校生爆料，目前国内实习薪资大致分三档：头部大厂的技术、算法、AI 岗，月给 8k 到 15k 不等，过万是这批岗位的正常水位；中厂、独角兽或一线城市普通互联网公司，实习补贴多在 3k 到 6k；而小微企业、本地公司、导师课题组，大多 0 到 2k，不少还要自己贴房租通勤。

9、辛苦一年，值得最好的！新年焕新攻略，这次能省一个月工资~

亚洲区大洗牌：印尼入围，国足位列第13 在亚洲区12个名额的预测名单中，传统强队日本、韩国、伊朗、澳大利亚、沙特、卡塔尔以及乌兹别克斯坦、伊拉克、约旦毫无悬念地占据一席之地。

陶冶和他的团队擅长把复杂的工程问题拆开，误差可以由传感器发现，运动可以由算法控制，失败可以通过软件提前避免。

10、就在今天！继奇才后，又一个3状元组合诞生了

值得一提的是，C罗职业生涯从未与哥伦比亚有过交手，他曾9次代表葡萄牙与南美球队碰面，取得3胜2平4负，只在与阿根廷和厄瓜多尔的友谊赛上有过进球，最后一次破门已过去13年时间。

从小组赛首轮表现来看，两队都打出了各自的战术特点。

1、一段错位情缘困住吴绮莉27年，回望吴绮莉与成龙的半生纠缠

在许玮看来，“这是一个超千亿的市场，用存储扩展显存，本质不是为了和谁竞争，更多的是希望让每一块钱的算力投资产出更多Token，让每一家中小企业和开发者都用得起大模型。

2、偶遇72岁刘德凯！满头白发买菜，小16岁女友相伴，不婚真相太真实

身体发育有早有晚，用一把尺子量所有人，结果就是大量晚熟但技术出色的苗子在少年阶段就被筛掉了。

3、朱芳雨赌对了！广东队被曝欲加入胡金秋争夺战，焦泊乔去向曝光！

如今，第一个信号已经出现，具身智能行业的未来，又将如何？7月17日凌晨，Kimi K3正式发布。大语言模型重构ACMG判读流程：AI-CURA自动完成变异分类证据整合它们有自动驾驶积累的大规模训练系统、成熟的工程体系和供应链能力，缺的机器人接触数据可以通过收购或合作补上。

4、旭阳新材北交所IPO上市委会议通过，保荐机构为长江证券承销保荐有限公司

球员本人希望下赛季征战欧冠，正在寻找能满足这一诉求的俱乐部，米兰下赛季的欧战席位暂时无法成为吸引他留队的核心筹码。

5、天气

这也是陶冶一直强调软件和生态的原因。

6、世界杯丢冠赛季四大皆空，姆巴佩盼穆帅帮他蜕变成C罗

本质上是做空短期波动率。

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。

在攻击线上，利物浦显然还需要更多人手。

7、六项违规叠加治理漏洞！太和农商行被罚300万，四名责任人连带追责

小组赛阶段，他在对阵埃及和伊朗的比赛中表现平平，随后在对阵新西兰时贡献1球2助攻，一度让人看到状态回归的迹象。

据弗若斯特沙利文预测，中国AI芯片市场规模将由2024年的1425亿元增至2029年的1.3万亿元，2025年至2029年的复合增速高达54%。

8、新地标！美国国家六月节博物馆，即将开建！

如果米兰下赛季变阵四后卫，阿泰卡梅将在右后卫位置得到更多出场机会。

其次是荷兰2-1小胜，依靠定位球或个人能力险胜。

图赫尔在那个时间点做出那样的换人，等于在说'我不相信这支球队'，或者说他不相信他们还能给阿根廷再补几拳。

在这届大赛中，贾斯特为“全白队”打进三球，其中对阵伊朗的进球入围了赛事最佳进球候选。

倒数第一，中国男篮惨败，再输两大坏消息，日本队笑开了花夜店大乱！爆发冲突！尼克斯球员被驱逐！去朋友家喝茶，一眼就相中了这个福禄转转杯！_网易订阅 IPO新观察

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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。

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