欧盟《电池护照》将于2027年2月18日全面强制实施，要求披露电池全生命周期的碳足迹、原材料来源和回收利用数据。

1、米兰体育 我希望他说的是真的。

储能需求的结构性爆发与供给端的出清共振，重新定义了锂的合理价格区间。米兰体育在网络上，几乎没有人在意这批物资的具体价值，也没有人发起所谓的“捐款审判”。

2、ESPN解雇风波：前分析师Ryan Clark发告别信，直播贬低同事成导火索

前三个不回，第四个回了"去牛客看实习版"。

3、梅西2026世界杯表现神勇却无缘金球奖，只因这一残酷规则

双方伤停情况：阿根廷（无）；瑞士有曼赞比、埃比舍、哈克斯。

4、台风“红霞”将影响邵阳！

这一局面直接拖慢了米兰的引援节奏，俱乐部原本计划通过出售莱奥回笼资金，以再度投入转会市场，但现在只能被迫暂停引援工作。

5、格伦·约翰逊：若恩佐离队，切尔西应抢先曼联签下科内，他会是完美替代

反复打磨同质化的甜宠套路、复刻相似的情感桥段，只会让玩家审美疲劳，慢慢失去付费和追剧的热情。

西班牙首相桑切斯断然拒绝。

"据了解，利物浦仍是展现最具体兴趣签下布拉德利·巴尔科拉的俱乐部。

6、死磕到底！卡里克豪赌皇马核心！曼联 7000 万强挖世界第一后腰

”企业的真实价值，终究要由自身盈利能力、管理水平和合规经营来称量。

报告期内，AI大模型推理端持续扩张，数据中心对高性能存储产品需求快速提升。

7、巴西版丰田兰德酷路泽OJ55现身拍卖：改装越野装备，搭载奔驰柴油四缸机

1/8决赛面对东道主美国，比利时更是打出了本届杯赛的代表作，以4-1的比分大胜对手，强势晋级八强。

最终的方案是组建一个直接向老板本人汇报的整合式战略团队，通过内部提拔的方式打造一套更精简、更高效的管理结构。

8、NFL最长的冠名合作之一延续：美国银行球场获5亿额外投资，总工程飙至13亿美元

当年，尤文图斯曾向决赛输送了9名球员；而如今，马竞以10人的庞大阵容，将这一纪录提升了整整一个身位。

这一规定，彻底打破了过去全国数千个区县“造城式”设立基金招商的套路。

对于任何有意引进这位前锋的俱乐部而言，这无疑是一份最具说服力的“验货报告”。

9、穆罕默德·赫里马特离开拉巴特皇家武装加盟阿尔沙马尔

由于缺席了本赛季欧冠，米兰为了弥补收入损失，在去年夏窗出售或带买断外租了一大批球员。

当时，刚刚犯规的帕雷德斯情绪已经十分激动，队友德保罗也处于爆发边缘。

10、热火官方YT泄露“詹姆斯加盟新闻发布会”，球队称是安排错误，疑点仍未解

如今，又一次重伤打断了他的脚步。

真正的领袖，不是永远沉默的羔羊，而是在关键时刻敢于发声，用克制而坚定的方式守护团队。

1、两名老虎队新秀排名下滑，但专家对他们仍信心不减

一个漂亮的词不会提高工资，更不会降低房租。

2、冠军再+1！泸州斩获省十五运会足球乙组（U15组）男子组冠军

” 本届世界杯征程对阿尔瓦雷斯而言并非坦途。

3、这，才是大连足球走向复兴最深厚的底气

第二：罗德里状态上佳，斗牛士军团无惧欧洲红魔！西班牙相比2026年欧洲杯两个边路是差点意思的，但罗德里近期找回了巅峰状态，大有渐入佳境的感觉。状元四分卫门多萨压哨签约突袭者：4年5820万全额保障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。

4、明年起8大行业开征挥发性有机物环保税，最低税额抬高

” 粉丝们看得心疼坏了，有人甚至说皮克福德就该给她订一架私人飞机。

5、美威胁沙特：如不加入“亚伯拉罕协议”，两国签署的民用核协议将作废；此前沙特首相称加沙战事致国内反以情绪高涨，不接受与以关系正常化

他指出，赖斯近期一直受到腿筋及下背部伤病的困扰，此时强行首发实属不智。

6、点球都能输的德国队，你指望他们赢得什么？

此外，阿莫林体系中对于传统边锋的依赖度降低，他已经不需要莱奥这种类型的球员。

Wagas全新概念店WAGAS SKAGEN全国首店入驻成都太古里 近日，Wagas在成都开出了全新概念店WAGAS SKAGEN，把一座“丹麦小镇”搬进成都太古里。

哥伦比亚则拥有更强的个人能力，迪亚斯的边路突破是他们的杀手锏，面对瑞士的密集防守，如何发挥迪亚斯的作用将是洛伦索的重要课题。

7、西甲第23轮综述：又成二人转？巴萨1分领先皇马，马竞输球掉队

北方华创的前身为苏联援建中国的电子厂，之后历经多次重组整合，于2016年由北京国资委主导形成今日北方华创的基础，并将半导体设备作为战略突围方向。

国际足联不再按场次支付费用，改为从各队集训首日起至该国最后一场比赛次日止，按日发放津贴，2026年世界杯的每日补偿标准为4330欧元，显著低于卡塔尔世界杯时期的费率。

8、今夏第2签！卡尔·达洛加盟曼联&公布球衣号码

仍以天齐锂业为例，2025年上半年，公司归母净利润仅录得8441.06万元，扣非净利润132万元，这一盈利水平仅好于亏损的2020年和2024年。

项目计划自2026年7月启动，至2033年建成投产，资金来源为自有资金及自筹资金。

第二种期望值是：10%×20－90%×1＝1.1元。

防守端依靠亚当斯和麦肯尼的双后腰屏障，防线整体前压制造越位陷阱。