一张充满“反差感”的成绩单 特斯拉的这份季报，充满矛盾。

1、BOB足球 哈兰德虽然被英格兰后防重点盯防，但他在前场的牵制力依然巨大，只是队友在关键时刻的把握机会能力稍显欠缺，最终付出了惨痛的代价。

这些投资者抢占的是啥？ 答案是“视觉生成作为下一代世界模型入口”的战略高地。BOB足球从新加坡主权基金淡马锡，到全球资管巨头贝莱德、摩根大通，再到阿里巴巴和腾讯，33家顶级机构合计认购约270亿港元，占发售股份近五成，几乎逼近港交所50%的上限。

2、3年得分王，比肩巅峰杜兰特！20年只赢2场季后赛的鱼腩被他救活了

一边是41岁C罗领衔的五盾军团，一边是18岁亚马尔率领的青春斗牛士，两代球星的正面对决让这场比赛充满看点。

3、闯四强却领高额罚单！德约十六强赛暴怒口出秽语，17名球员同受罚

对比2020财年的8359家门店，滔博的体量几乎减少了一半。

4、2026年下半年开始，中国或将出现4大变化，大家可以提前做准备了

塞内西和范赫克也出现了类似但低调一些的叙事。

5、山西省2026年普通高考未投档考生成绩分段统计表

"西班牙是一支非常出色的球队，球员们都很棒。

滔博告别传统渠道时代 面临严峻考验的，不仅仅是耐克。

萨默维尔的到来，填补的正是利雅得新月整个夏天试图通过拉菲尼亚来补强的左边锋位置。

6、网上有人就“病因”“遗产分配”捏造事实，英皇娱乐代表谢霆锋回应

最初用小仓位只是购买观察权，证据增加以后逐步提高仓位，让少数被持续验证的机会从试仓成长为重要持仓，同时让没有得到验证的机会按原计划结束。

不过，考虑到此次事件发生在世界杯半决赛，且对手是英格兰，性质更为严重，罚款的金额可能会高于2014年的标准。

7、每天晨跑10公里，连续11年！普通人也这么爱跑步？

从目前的情况来看，双方互相都有兴趣，米兰需要一名有实力的中锋，努涅斯需要一个能踢上球的欧洲平台。

正如中国工程院院士郑纬民所指出的：“驱动智能体的Token正在成为新的‘石油’。

8、长沙占车位持续发酵，恶心一幕出现！闵先生被质疑，还不止一条

而且上赛季那些高价水货，经过一个完整赛季的适应，应该会有明显提升。

两队最近一次交手还要追溯到2010年的友谊赛，当时英格兰3-1击败墨西哥。

3月极佳视界在Track 1阶段性评测中位列第一，5月考拉悠然也坐上Track 1头把交椅，6月发布的PAIWorld论文又称其登上WorldArena榜首。

9、牺牲！20岁新人王！主动替补！预定十年班底？

另外，以长鑫存储为代表的国产厂商，正在通过扩产和提高良率扩大LPDDR4X供应，不断填补韩国和美国厂商留下的部分成熟制程产能缺口，有望加速重塑智能手机移动DRAM的供应结构。

这个夏窗，阿尔瓦雷斯亮相诺坎普的可能性，依然没有被排除。

10、模板哈登！第一年就创历史第5神迹，天生的马刺人，未来必成大器

在他看来，贝林厄姆在顶级舞台上的影响力以及决定比赛的能力，使他成为接替凯恩袖标的天然人选。

这个逻辑，就体现在特斯拉刚刚发布的2026 年第二季度财报里。

1、朱芳雨卸任宏远总经理！紧随杜锋离队，宏远最成功的老总，休赛期大换血，周鹏将回归！

中原期货分析师杨江涛指出，供给端，2026年为全球锂矿产能释放大年，全年产能同比增速达30.41%，国内产能增速42.79%，下半年海外矿山、国内冶炼产能持续爬坡，叠加锂辉石、碳酸锂进口同比大幅增长，原料供给边际持续宽松，锂云母供给短板随产能修复逐步缓解，整体供给增量充足；需求端支撑依旧强劲，正极材料、三元及磷酸铁锂产量与开工率大幅抬升，新能源车渗透率持续提升，储能招标、中标容量同比翻倍增长，终端刚需高景气延续；库存端持续低位去库，同比大幅回落，现货紧平衡格局对价格形成底部支撑；成本端上半年冲高后6月显著回落，行业利润修复将进一步刺激产能释放，压制上行空间。

2、投注1.6万亿！世界杯真有假球？西班牙比赛或被操纵 阿根廷疑清白

优先级最高的是卡雷查斯。

3、莱巴身为2号种子却被排除夺冠热门外，郑钦文铁定打美网资格赛？

趣丸科技放弃了面面俱到的通用平台幻想，转而深耕两个具备高情感价值与高交互密度的垂直领域：AI音乐与AI语音。5月车市燃油车内销崩塌 新能源强势主导拉长到前五个月累计来看，动力电池装车量259GWh，同期电池产量863GWh，累计利用率约为30%。

4、屡教不改！三十而立依旧任性惹事，韦世豪又一次亲手葬送口碑

如今，随着阿莫林的到来，恩昆库迎来了证明自己的机会。

5、硬氪首发

滴滴属于全球层级赞助商，网易则拿下了阿根廷队的中国区独家新媒体合作权。

6、2-0！2-1！世界杯半决赛首场对决出炉！法国迎战苦主，谁赢球或谁夺冠

格拉斯纳的球员生涯在2011年戛然而止，他在欧联杯预选赛对阵布隆德比的比赛中与队友相撞导致脑震荡，随后脑部硬膜下血肿，疼痛加剧，最终完成了一次存活率只有50%的凶险手术。

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。

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。

7、记者：费尔梅伦今夏可能离开莱比锡，多家五大联赛球队询问他

三场小组赛平均控球率超过60%，传球成功率在90%以上，进攻手段丰富多样，边路突破、中路渗透、定位球、远射样样都有。

伊纳西奥作为左脚中卫，具备后场长传和持球推进能力，恰好弥补米兰现有后卫出球薄弱的短板，是阿莫林三中卫体系的理想左中卫人选。

8、大量掺假，王祉怡复仇沈有振

Delta决定标的动一下，期权大致跟多少。

梅西的“终章探戈”与亚马尔的“未来已来”，两代巴萨10号的宿命对决，不仅自带跨越时代的情怀流量，更直接转化为惊人的商业数据。

乌拉圭则没有退路，取胜才能确保出线；打平的话，需要佛得角也战平沙特，才能凭借进球数优势竞争小组第二，或争取成绩较好的小组第三；一旦输球直接出局。

作为全球汽车行业龙头，大众早在2016年就开始大幅转向电动化，2020年，大众又成立了软件子公司CARIAD，主要开发智能驾驶、车载操作系统、车规级软件等产品。