数据显示，自5月6日创下阶段高位以来，天齐锂业股价累计下跌超40%，两个多月时间里，公司市值蒸发超610亿元。

1、欧宝首页 伊布在过去几天时间一直在与伊劳拉接触，试图说服其加盟，但并没有得到热切的回应。

两队历史上共有12次交手，英格兰取得7胜3平2负占据明显优势，不过最近一次对垒还要追溯到2014年的友谊赛，当时英格兰取得1比0小胜。欧宝首页包含赖因德斯出售的上赛季，即24/25财年，以5590万欧元排名第四。

2、力箭一号送GPU上天、算力入轨 商业航天产业化持续提速

此外，那不勒斯也是其潜在下家，球队总监曼纳有可能离职加盟罗马。

3、广东男篮大洗牌！杜锋离任+杜润旺加盟南京，三连冠功臣仅剩两人

但科特迪瓦反击针对性强，爆冷概率不低，一旦拖入加时乃至点球大战，科特迪瓦的大赛经验优势将逐步显现。

4、周一安静上班的同事，周日却在球场嘶吼辱骂——足球如何偷走你的理智？

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。

5、伟大的4-2！中国男足创造历史，首进U23亚洲杯四强，李昊封神救主

他从三月份就带着这个伤在踢了。

在接受《阿斯报》采访时，库巴西谈到了自己的成长、与队友亚马尔的关系，以及即将面对姆巴佩的挑战。

福法纳的离队信号比前两人更为明确。

6、美军空袭伊朗民用设施，德黑兰用一招双海峡封锁，把全世界拖下水

资金是米兰当前面临的最大问题。

据《国家报》最新消息，巴萨高层内部对于今夏签下阿尔瓦雷斯颇有信心。

7、记者：林良铭合同年底到期，续约还没有消息

绿巴萨近几个赛季在年轻球员培养方面积累了不少案例，从斯卡马卡到弗拉泰西，俱乐部总能给予新人稳定的出场时间助其成长。

首场比赛定于7月25日在格拉斯哥进行，对手是苏超霸主凯尔特人。

8、美军死伤曝光！看到伤亡数据后，特朗普宣布：将启动重大军事行动

哥伦比亚同样实力不俗，FIFA排名第11位的他们在K组力压葡萄牙获得头名，1/16决赛1-0小胜加纳晋级。

近一年时间，泡泡玛特在IP业务上呈现出一种收和放的结合。

我对他只有感激，因为他是一个值得这一切的孩子。

9、辽宁男篮5分险胜！新赛季开门红，于善元首秀4分，付豪22分

欧盟对华纯电动车反补贴关税已落地五年，正在扩展至插混车型。

2024年以后，这种差别开始越来越明显。

10、CCTV5直播！上海VS广厦生死战，张镇麟严防布朗，卢伟目标4-0横扫

贝林厄姆状态起伏中不乏高光，先后在对阵克罗地亚、巴拿马及墨西哥（梅开二度）的比赛中破门，其全面复苏的表现甚至让他跻身金球奖热门行列第九位。

管理层和阿莱格里将面临选择，要么留下这位多面手，要么尝试以2000万欧元元左右的价格将其套现。

1、切尔西内幕人士：非常可靠消息源一直提吉马良斯；真能再截胡阿森纳？

这个概念由美国作者戴维·布鲁克斯在2007年前后推广，用来描述青年进入稳定成年生活前，被不断拉长的探索期；2026年，它在中文互联网突然走红，又很快进入播客标题。

2、曝周鹏有望新赛季有望重返广东男篮！未来或成为杜锋接班人

自2012年完成成年队首秀起，他便成为了“特兰加雄狮”最锋利的剑与最坚韧的盾。

3、第二名伤退！单赛季同时夺篮板王+助攻王？NBA前无古人的神迹！

第二季度该区域营收同比下跌8%。国足将战世界杯参赛队如今合同只剩一年，巴黎的兴趣让形势急转直下。

4、NBA第一“伪球星”！场均27+5无人问津，12年生涯只打了4场季后赛

在西蒙尼的调教下，马竞球员普遍具备体能充沛、战术执行力极强以及心理素质过硬的特质。

5、8 年后 Gosha 终于回归，但已经没人讨论了？

每次生成都是孤立的，角色不连续、风格不稳定、镜头之间没有逻辑关系。

6、谁给张子宇传球？功勋后卫给出了答案，老帅临时征召收获大效果

热刺：还会更烂了吗？ 上赛季的热刺，差点就降级了。

最初是假设期：投资者看到可能存在错估，但证据还不完整。

球迷们的调侃虽然带着几分无奈，却一针见血：“这个世界还是拳头大说话管用，英不及美，任何领域！”更有甚者直言：“宽萨这是替巴洛贡扛了一场？” 在绿茵场上，红牌本应是绝对的红线，是对危险动作的严厉惩戒。

7、诺娃夺冠透露崩盘仍夺冠秘诀，郑钦文被曝换新教练雅典首秀迎硬仗

《每日邮报》还指出：“切尔西的兴趣浮出水面之前一个月，俱乐部消息人士曾试图否认圈内关于他们关注斯通斯的传闻。

夏窗回归之后，可以确定的是他肯定不会被出售，这一点已经被伊布多次重申。

8、第21轮！伊朗出现政变，穆杰塔巴跑了？革命卫队够损，点名约旦

随后是把资产从1走到10的过程说清楚。

至于新中卫，巴萨眼下并不将其视为优先事项。

巴洛贡梅开二度状态火热，普利希奇送出助攻，全队跑动距离超过115公里，边路突破创造了13次禁区内机会，进攻火力全开。

虽然朗尼克已被卡迪纳莱列入主要备选，但伊布担心其掌控欲过强，迟迟没有开绿灯。