据悉，天齐锂业年产50吨硫化锂中试项目已正式动工，而硫化锂是固态电池的核心电解质材料。

1、yobo体育 疑点三：原材料涨价，利润为何反而暴涨？ 在没有得到任何证据的情况下是不能进行推理的，但华人神探李昌钰留下过一句：凡走过，必留痕迹。

第二只闹钟是市场表现。yobo体育”他接着说，“我们必须重新站起来，没有别的路。

2、错过1.17亿镑目标后，阿森纳3400万签下佐利斯，替代特罗萨德

当塔希提和新喀里多尼亚这样的球队都能借着扩军的东风触摸世界杯草皮时，中国男足最该认清的现实是：与其在别人的规则里计算概率，不如在自己的泥沼中踏实前行。

3、0时0分准时生效，联合国传来消息，中方带头行动，跟美国算了笔账

如果说今年4月底重新开放的LABUBU森林区直观体现了乐园在硬件建设的升级，暑期系列活动的落地则为这里填充了更丰富的软件体验。

4、今日17:00，我省高考本科批次志愿填报截止！

在AI语音领域，趣丸科技联合港中文（深圳）开源了语音大模型MaskGCT。

5、前UFC冠军养伤期间送外卖 “只要肯干，没什么不行”

法国体能储备更充足，挪威上一场打到最后时刻才险胜，体能消耗更大。

此外，俱乐部还将引进一名中卫新援，目前最热门的选项是来自哥伦比亚和乌拉圭的两位国脚球员。

在7月22日界面新闻刊发的一条关于耐克渠道调整策略的文章中，耐克集团副总裁、大中华区总经理申凯希（Cathy Sparks）表示从明年1月起，耐克在中国的数字化市场体系将以天猫、京东和抖音上的官方旗舰店为核心，与Nike.com.cn和Nike App共同构成主要的官方数字触点。

6、NFL选秀状元门多萨终签新秀合同：四年5727万全额保障

这条难而正确的路，也正在成为行业共识。

综合上述四名球员的潜在转会费，若莱奥能以5000万欧元成交，托莫里变现2000万欧元，希门尼斯与埃斯图皮南分别回收1500万欧元，米兰达成1亿欧元资金回笼目标在理论层面还是可以实现的。

7、阿里米射术再精一点，泰山能被打花！球迷：王大雷回更衣室见人就打

在北京经开区，北方华创的装备子公司跟中芯北方隔着一条马路。

亚特兰大为埃德森标价5000万欧元，而米兰已经在转会市场花费了1亿欧元，同时对中卫位置的调整也在计划之中，若托莫里离队，替代人选锁定葡萄牙体育的伊纳西奥或伯恩茅斯的卢库米，这将导致球队没有足够预算追逐埃德森，俱乐部必须筹集资金。

8、赛道狂飙过的稀有Shelby GT500KR现正拍卖，仅产1053辆

西班牙俨然成了法国足球挥之不去的梦魇，而这场0:2的完败，绝非偶然的运气不佳，而是法国队在阵容结构、战术体系以及核心球员缺失等多重因素交织下的系统性崩盘。

达利奇的球队主打4-2-3-1阵型，核心是中场控制和防守反击。

7月1日到22日，紫光股份股价累计上涨58%，浪潮信息上涨41%。

9、现场画面公布！菲律宾两艘公务船不顾中方一再劝阻和警告，执意侵闯中国黄岩岛管辖海域，中国海警对菲船只进行警示性水炮喷射，予以驱离

从他2025年1月第二次入主白宫以来，对西班牙的抨击从未停歇。

据多家英媒报道，蓝军正在权衡签下英格兰中卫约翰·斯通斯的可能，同时对伯恩茅斯中场亚历克斯·斯科特的报价已遭到拒绝。

10、这场文化大赛为何选择泸州？三千年文脉告诉你答案……

“大量购入但尚未投入使用的GPU和数据中心设备，都被记录在资产负债表的「在建工程」里，折旧计提尚未开始。

这位拉玛西亚青训出品的年轻后卫，凭借超越年龄的防守成熟度与从容的控球能力，迅速确立了自己在国家队的主力位置。

1、织遇金秋，博览新潮！2026 PH Value秋冬针织展报名火热进行中

同时，Anthropic通过组织能力建设，将愿景转化成了凝聚力和产品力。

2、快讯丨西班牙vs阿根廷首发名单出炉！终局之战一触即发！

” “太美妙了。

3、埃文-戈尔德接近加盟纽约岛人 前棕熊高管今夏曾面试两支球队

战术风格：高压逼抢vs低位防守 乌拉圭在名帅贝尔萨的调教下，主打全场高压逼抢战术。新华社探访白俄罗斯“亚麻城”，看一根亚麻如何织就中白合作新图景“散装零食都做成了很小的包装，所以我拿的时候，不会纠结多少钱，每样几块钱，堆在一起就两三百了。

4、一周三签，今晚武汉女足能否止住颓势？

参与项目的员工称，按每瓦可生成的token数计算，其能效可能达到谷歌最新TPU的6到10倍。

5、世界杯32强已定13席：巴西夺头名！韩国待定亚洲杯冠军出局

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、输日本19分！给男篮球员赛后评分：5人拉胯，仅2人优秀

对于阿根廷队而言，这场胜利虽然磕磕绊绊，但涉险过关才是淘汰赛的常态。

与他搭档锋线的是曼城前锋马尔穆什，这位年轻前锋速度快、冲击力强，是埃及反击的一把尖刀。

19岁，世界杯金牌加FIFA最佳年轻球员，分量不言自明。

7、三点理由证明，选诺里做主帅，是开拓者给杨瀚森最后机会

“但这招，防得了君子，防不住小人。

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。

8、法国VS西班牙前瞻：法国打法全面升级，西班牙两大隐患恐难破局

最终哪条路线能落地，还得看物理真实性够不够、端侧实时性能跟不跟得上，这些都需要时间检验。

”从2026年下半年到2027年，超节点都会呈现出快速上量的趋势。

卡雷察斯仍然是他们的主要目标，但在希腊人已经接近加盟多特蒙德的情况下，红黑军团也开始制定备选方案，皇马小将马斯坦托诺不在穆里尼奥计划之中，成为潜在的替代人选。

"夏奇拉说。