国家标准GB/T 43568-2026《电动汽车用固态电池》已于2026年7月1日实施（该标准为推荐性国家标准，侧重引导和规范，而非强制性准入），为这场长跑划定了规则边界。

1、开yun体育app官网 地平线“花不完的钱” 此次地平线机器人发债募资，主要是为偿还一笔4年前的旧债。

高昂的成本迫使低端机型退出市场，预计2026年全球智能手机出货量将同比下滑13.9%，降至10.8亿部，创下2013年以来的历史新低。开yun体育app官网EMEA（欧洲、中东与非洲）2026上半财年营收3.497亿欧元，同比下滑4%。

2、拉菲尼亚右大腿肌肉拉伤 他的伤势是巴西国家队的一块心病

8年融资11轮后买“壳” 接盘方太洋科技，是国内军工材料赛道的隐形龙头。

3、扛不住了？日本经济全面沦陷，顶住压力，亲华政客要9月访华破冰

如果说FIFA世界杯让乐事完成了顶级赛事的整合营销实践，那么过去几年对于观赛场景的持续投入，则让我们看到乐事的长期愿景：它希望陪伴消费者的不仅是某一场比赛，而是每一次因为热爱而相聚的时刻。

4、盘点NBA历史上十组三巨头抱团组合，到底谁的抱团最没有下限？

今年暑期，包括《就在此刻！LABU!》限定演出在内，泡泡玛特城市乐园推出了一系列夜游活动。

5、EA Sports FC 27定档9月25日，首个玩法预告片公开

这么短的时间、这么精确的金额，更像是为了制造资金流水、满足某种形式上的要求，而不是真正的经营需要。

一些非常具体的细节工作不断创造惊喜感，比如海盗船启动时随着音乐击掌的工作人员，又或是一枚来自乐园清洁工的限定贴纸。

阶跃星辰：模型公司亲自下场造手机 阶跃星辰的选择更为激进，它没有将智能助手嵌入操作系统，而是在安卓底层之上增设专属运行层，从零重构底层框架，打造原生适配智能体运行的Step AOS。

6、城投珠江天河壹品：千亿双国企背书，提前一年交付的兑现实力有多强？

FILA AURA“菁英跑”第三站落地深圳 近日，FILA「菁英跑」系列活动第三站落地深圳，FILA菁英运动代言人王阳与来自华润集团等企业的40位商务人士及媒体，身着全新FILA AURA商务跑鞋，以一场清晨慢跑，共验“稳驭万象”的全场景生活哲学。

目前显露的情况是，伊布已不再掌握绝对话语权。

7、比赛日

根据规定，如果球队没有CEO、总监和主教练，将无法申请26/27赛季联赛参赛资格。

目前日本队场均失球仅0.33个，防守体系十分稳固。

8、巴莱巴表态只梦想加盟曼联！愿帮助降低上亿要价，或可7000万转会

更值得关注的是GP们赖以生存的国资母基金。

简单来说，车卖得更多了，钱赚得更少了。

特斯拉为租赁车辆和合作银行的贷款提供残值兜底承诺，一旦二手车市价跌破担保底线，特斯拉就要补上差价。

9、不管奥德赛评价如何，查理兹·塞隆都赢了！

这套架构的设计灵感直接来自利物浦。

英格兰队在晋级之路上付出了不小代价。

10、全球最硬核的消防车？驾驶室能防弹，带你好好看看太脱拉CZVS-40消防车

目前这名20岁球员的转会费预计在6000万欧元上下，只待球员本人做出决定。

更关键的是资金状况，公司在宣布分红的时候，账上现金连分红金额都不够。

1、逝者

7场胜利包括客场对莱切、主场对博洛尼亚、客场对乌迪内斯、主场对维罗纳、客场对博洛尼亚、主场对都灵以及客场对热那亚，1场失利来自首轮尚在磨合期的阿莱格里爆冷负于克雷莫内塞，1场平局是主场2比2战平萨索洛。

2、一年被弃！场均15分6助！37岁超巨！真的没人要了？

就在6月底之前，他还被视为俱乐部获取即时收入的重要资产，但如今这一紧迫性已不复存在。

3、又离队！！杨瀚森，真没人护着你了...

尽管挪威队遗憾止步八强，但他们首次打进世界杯八强的表现已经赢得了全世界的尊重。世界最富有猫咪破产？！从住豪宅变挤小公寓，150万美元遗产全部没了？而在中场与锋线的衔接处，奥利塞扮演着“进攻大脑”的角色。

4、《光环》新作PS5世界首白诞生！解锁还没24小时

"然而，人类历史上更常见的现象是：当命运递上钥匙时，我们往往误以为那是一块石头，并随手丢弃。

5、最新民调出炉！苏巧慧反超李四川？侯友宜一句话却让郑丽文尴尬了

前者需要快速处理大量上下文，后者更看重持续输出和低延迟。

6、百度萝卜快跑获准在香港开展全无人驾驶测试，系全球右舵市场首次

2026年世界杯期间，类似抗议在法国也曾出现——一份超过8.2万人签名的请愿要求重赛法国对阵西班牙的半决赛，理由是首开纪录的点球存在争议判罚，但该请愿同样未对赛事进程产生任何实质影响。

对于正处于重建期的意大利足球而言，这既是一次豪赌，也是重塑信心的关键抉择。

随着巴黎圣日耳曼的贡萨洛·拉莫斯、拉齐奥的吉拉先后敲定，AC米兰今夏累计投入已突破1亿欧元，而按照老板卡尔迪纳莱给出的2.5亿欧元总预算（含球员出售回血，并非纯现金投入），这笔钱还远没到花完的时候。

7、跑马拉松住帐篷，撕了谁的遮羞布

”这句看似戏谑的调侃，实则是对FIFA公信力崩塌的最真实写照。

” 更可贵的是，这时市场已经起了变化——中芯国际、长江存储、长鑫存储等头部晶圆厂，纷纷向北方华创打开产线。

8、2026中国年轻女性电动两轮车出行研究报告

与此同时，荣耀将MagicOS升级为行业首个伙伴型多模态智能体操作系统Agentic OS。

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。

在《零售圈》看来，一方面，7-Eleven需要用存放周期相对长，口味相对不易出错，更大众化的新鲜零食来为自己投石问路，相比之下，烘焙类食品相较于辣味食品和肉制食品更容易被消费者接受，包装也更为便利，能够在7-Eleven便利店的重点货架上集中展示，而辣味食品和肉制品则需要占用冷柜，压缩传统SKU中的高销量产品；另一方面，烘焙类产品制作相对简单，传统的白案烘焙店铺即可胜任，在成本方面也可以控制。

门将利瓦科维奇则是著名的大赛型门将，心理素质极其出色，尤其擅长扑救点球。