需要注意的是，行业内部因提锂方式和业务集中度不同，锂企的增幅又有所分化：业绩增幅靠前的几乎都是矿石提锂企业，如天齐锂业、中矿资源、天华新能等；而盐湖股份（000792.SZ）、藏格矿业（000408.SZ）、川能动力等多业务并举的锂企业绩波动相对较小；亏损企业则各有各的困境，江特电机锂矿靠外采、盈利受限，*ST威领因钨矿价格下降致亏损，金圆股份则因非经常性损益减少亏损扩大。

1、九游体育 预测阿根廷常规时间2-1战胜埃及，次选3-1。

停产前，该矿月均碳酸锂产量约7000至8000吨，约占国内月度锂需求的10%。九游体育更关键的是，他在防守端的进步同样扎实，八次抢断和两次拦截的数据，恰好印证了巴埃纳所说的他在无球状态下对球队的帮助。

2、三线作战！今晚，张帅冲击温网决赛！

面对土耳其队21次射门，澳大利亚防线组织井然有序，用最经济的方式拿下了比赛。

3、芬超前瞻：马里汉姆迎战奥卢，16轮零胜垫底盼破荒

这张地图的跨度，比很多人想象的大。

4、“它们”开始进厂打工了！新华社观察“人形机器人量产元年”的纺织车间

北京时间7月15日凌晨3时，2026年美加墨世界杯首场半决赛落下帷幕。

5、就该这样！日本卡中国芯片设备损失千亿，却还问：凭什么反制回来

缺口出在一个展台话术不会主动提的地方：AI Infra是一条产业链，每家公司交付的是自己那一段——芯片、互连、存储、调度软件。

例如本次入选预测名单的印度尼西亚，通过大规模归化荷兰青训球员实现了实力的“脱胎换骨”，已经稳稳地走在了中国队的前面。

阿莫林认为，丘库埃泽不仅可以作为双前腰之一出战，还可以充当边翼卫的轮换人选，与萨勒马克尔斯形成左右换位，本次训练课他就是作为边翼卫首发出战。

6、文艺走进新时代 实践站里颂党恩

登贝莱的边路爆破、内切远射与无球跑动，不仅丰富了进攻套路，更让对手防线顾此失彼。

预计双方大概率陷入胶着，最可能的比分是1-1平局，其次是西班牙1-0小胜。

7、特朗普佐治亚站台勇士队,顺带调侃大都会:工资最高输球最多

俱乐部日前已通知部分球员的经纪人前往米兰总部，明确告知其客户是否在新赛季计划之内，这标志着一场大规模的阵容清洗即将展开。

后来校招，他拿到的 offer 不比那些大厂实习生差。

8、中超第19轮明天7月17日赛程：西海岸PK蓉城，国安PK辽宁铁人

想要跨进决赛，英格兰必须拿出最好的状态。

他大二暑假还在送外卖攒学费，压根不知道有"暑期实习转正"这条路。

三次射门，零射正。

9、不知好歹！中国刚力挺马岛主权不到一个月，阿根廷就出现反华言论

这名巴萨边锋与凯恩搭档锋线，他的进球一度看起来将成为英格兰世界杯历史上的经典瞬间之一。

进攻端完全依靠反击，断球后直接长传找前场高点，利用伊兰昆达的速度冲击对手身后，定位球也是重要得分手段，身高1米98的苏塔头球威胁极大。

10、特斯拉Cybertruck销售惨淡：首年注册量仅7133辆，远逊福特史上最大败笔

投资者即使只是持有普通股票，也可能获得明显的非线性收益。

加泰罗尼亚俱乐部内部对这次伤病的发生方式以及球员和荷兰国家队在赛事期间的处理方式，积压了极大的不满。

1、佛得角邀国足踢友谊赛被婉拒？中国足协辟谣

米兰对里奇的标价是至少2000万欧元，考虑到一年前的购入成本，这个定价相对务实，球员的年龄和意大利国脚身份也保证了一定的市场价值。

2、F1技术新规，为比亚迪量身定制？

供给紧张时，平台无法确保资源供给；市场转冷，它也不会替上游分担闲置成本。

3、NFL选秀状元门多萨终签新秀合同：四年5727万全额保障

伊劳拉最擅长的阵型是4-2-3-1，进攻时十分倚重垂直且快速的后场出球，在防线区域安排三人、在中场区域安排两人进行站位，允许边后卫向前推进，让边锋拉开比赛宽度并尝试突破。自称“棒球间谍”偷拍对手教练，天使队球探遭MLB当场解雇但模型发布后的评测结果却泼了冷水，AI模型评测平台Arena.ai显示，Gemini 3.6 Flash在前端代码竞技场中以1537分排名第12位，第三方评测机构Artificial Analysis的模型智能指数得分为50，与上一代3.5 Flash持平。

4、众媒看雪都

它只是给焦虑加上了字幕。

5、反手抢人！切尔西 1.2 亿砸英超天才，阿森纳截胡蓝军两大目标

不过范戴克、德容、邓弗里斯、加克波等核心球员均处于赛季最佳状态。

6、法国VS摩洛哥前瞻：法国硬实力全面碾压，摩洛哥复仇之战难创奇迹

挪威的特点非常鲜明，进攻主要有两条路径：一是厄德高中路调度后分边，由边后卫或边锋起球传中，利用哈兰德和索尔洛特的身高优势抢点；二是抓对手失误打快速反击，厄德高直塞哈兰德形成单刀。

与此同时，国内头部封测企业也在持续加码先进封装产能布局，逐步摆脱低端同质化竞争。

梅西的职业生涯已近尾声，而亚马尔刚刚把大力神杯举过头顶。

7、克拉克赛后透露4字回应引技术犯规，锁定对手说法遭现场记分牌打脸

据《马卡报》报道，巴塞罗那目前的转会策略着眼长远。

整个FIFA世界杯赛程周期内，乐事围绕消费者“看球、欢聚、分享”的行为路径布局品牌触点，将世界杯的激情与消费者的真实生活场景紧密连接。

8、葡萄牙止步16强，再次出局C罗不哭了，而是变成了破防

趣丸科技的垂直整合，不仅构建了技术飞轮——模型为应用提供智能，应用为硬件注入全新体验。

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。

他几乎没有犯下任何错误，是球队一路零封对手闯入决赛的关键一环。

这笔交易不仅为莱比锡带来了丰厚的利润回报，更证明了克勒舍在发掘潜力新星方面的独到眼光。