2024年，碳酸锂价格崩盘跌至6万元/吨，天齐锂业全年巨亏79.05亿元，前两年积累的高额利润，几乎在一年内消耗殆尽。

1、开云苹果下载 新赛季的土超，注定不会平静。

核心球员大多效力于欧洲五大联赛，最大牌的球星是阿方索·戴维斯，这位拜仁左后卫身价7000万欧元，是球队的绝对核心。开云苹果下载资本涌入，创业者扎堆，但大多数模型做的是同一件事，从海量视频里学规律，却没有学会世界怎样运转。

2、敬酒时婆婆笑着给空红包，我拿起麦克风一句话，丈夫一家抬不起头

葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

3、日本战巴西：拒绝在弱者身上找自信

此外，他还有强力的头球能力，也能在禁区外打出高质量的远射。

4、咖说   专访奇瑞墨甲机器人总经理张贵兵：不会为了追求规模而牺牲落地质量

” 华尔街担心的不是Kimi K3，而是一旦中国开源模型所代表的免费AI加速渗透，将会进一步影响云厂商和模型厂商的算力投入回报率。

5、场均21+4VS33+8！本应成第一分卫，却浪费4年巅峰，你比SGA差远了

在现有架构中，仅剩红鸟高级顾问伊布和负责财务运营管理的董事会成员卡尔维利留任。

随着2026年美加墨世界杯决赛的临近，西班牙与阿根廷的巅峰对决即将在北京时间7月20日凌晨3时打响。

尽管伤兵不少，德泽尔比此行仍有不少看点。

6、FIBA官方出炉！亚洲排名迎更新，中国男篮回归第二，第一难撼动！

现在的问题是，诉讼撤回，4.79亿元借款该如何收回。

吉达国民的直接竞争对手利雅得新月，则正在敲定今夏最重磅的交易之一。

7、互联网大厂不香了？AI创业公司正在「吸走」年轻人

阿根廷队由此逐渐接管比赛，并最终由恩佐·费尔南德斯扳平比分。

整体来看，公司的转型思路清晰：不涉足终端制造，深耕上游核心材料。

8、曾被视作「球鞋未来」，3D 打印鞋终归只是「小众选择」？

要知道，这位德国国脚在多特蒙德的合同只剩最后一年，市场估值大约在4000万欧元上下。

从慢镜头来看，撞击角度并不算特别刁钻，但力度相当大，洛卡特利的额头直接撞上了莫德里奇的左脸。

同组有东道主墨西哥、亚洲劲旅韩国、欧洲铁骑捷克，南非是公认的小组鱼腩。

9、剑桥科技：拟出资8亿元参与设立嘉兴沪江光电产业基金

世界排名第二的西班牙队由罗德里坐镇中场，不仅掌控着极致的传控节奏，更创下了连续649分钟不失球的历史级纪录。

六是防微杜渐守牢重点领域风险底线。

10、这届世界杯，品牌做起年轻人的情绪生意

2025年1月，瑞幸咖啡首两家特许经营门店落地吉隆坡，马来西亚是瑞幸首个以特许经营模式布局的海外市场。

2024年以后，这种差别开始越来越明显。

1、记者：多特对马拉的报价低且奖金很难达成，科隆对此感到困惑

另一方首发是托莫里、加比亚、泰拉恰诺；阿泰卡梅、里奇、穆萨、卡拉卡；洛夫图斯-奇克、盖尔尼耶；卡马尔达。

2、今日14:00开票｜7月18日 陆虎【像你这样的朋友3.0】巡演-青岛站

滔搏将此次调整定性为“重大短期负面影响”。

3、海淀马拉松10月11日开跑，1万个席位今起报名

音乐是乐园最重要的存在。看上周琦老对手，朱芳雨又捡辽篮破烂？内线空虚，杜锋难忍焦泊乔同样，“边界感”和“课题分离”能帮助人摆脱无休止的控制，也可能被用来给冷漠寻找高级说法；“原生家庭”可以帮助一个人理解童年，却也可能成为解释一切的总开关。

4、没有信号表示詹皇要签勇士！巴特勒+多首轮追AD遭拒 续约追梦成备选

宁德时代与宝马和德国Catena-X网络深度绑定，推动90多项底层碳排放联合核算标准的制定。

5、德转：大连英博前锋于卓威加盟苏州东吴，转会费约10万人民币

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。

6、盘点｜近几年那些“表兄弟”相机机型

但最大的障碍一如既往：马竞死活不愿向直接竞争对手出售球员。

曼城和热刺位居榜首，两队均在单名球员身上砸下超过1亿欧元——曼城签下中场安德森，热刺则从纽卡带走了米兰旧将托纳利，加上费尔南德斯和范赫克两笔引援，热刺的总投入已经超过2.5亿欧元。

这个数据是系统优化的结果，模型版本、算子实现、服务器配置、网络带宽和调度方式，都会影响最终能交付多少有效 Token。

7、今日大暑丨愿你好运心有所“暑”

该公司的情况并非孤案，其他多家锂盐企业均表示，受益于下游动力电池和储能需求增长，各锂企产能利用率普遍较高，量价齐升。

而新鲜零食以“鲜食”竞争者的身份加入，则在更大程度上削减了便利店的王牌项目。

8、184比57票强行通过，日本皇室一家人，被麻生太郎安排的明明白白

月薪过万的实习，绑定了名校背景、硬技术、大厂岗位三重门槛。

54号文发布至今这50天里，从北上广深的高端写字楼到地级市的招商局，一场涉及数万亿资本的博弈与自救正在无声演替。

米兰的心理价位在2000万至2500万欧元之间。

综合来看，西班牙略占上风。