宁德时代587Ah电芯已在内蒙古2.4GWh独立储能项目中应用，亿纬锂能628Ah储能大电池量产提速。

1、ob体育 在同轮次的其他比赛中，罗马凭借曼奇尼的头球双响，赢下与拉齐奥的德比战；莫雷诺的进球则帮助科莫1比0战胜帕尔马；那不勒斯也由麦克托米奈、拉赫马尼和霍伊伦德的进球，客场3比0轻取比萨，在数学上确保前四席位；尤文图斯是唯一掉链子的球队，他们坐镇安联球场在以多打少的情况下0-2不敌佛罗伦萨，直接从第三名滑落到第六名。

时隔16年重返巅峰，斗牛士剑指双冠 对于西班牙而言，这场胜利不仅洗刷了2006年世界杯不敌法国的旧账，更是球队复兴的里程碑。ob体育这场世界杯半决赛的对决，不仅是两支顶级强队的战术博弈，更是本届世界杯最锋利的矛与最坚固的盾之间的终极碰撞。

2、不用退役！奇才有意重签威少组四巨头 上次效力场均22+11+11

这位水晶宫中场的合同将在今年夏天到期，届时可以零身价自由转会。

3、宁新新材及高管被出具警示函，涉信息披露违规等

这些公司自己就在补足"大脑"能力，VLA模型、世界模型都在布局。

4、解读森林狼、篮网、公牛三方交易：丢包袱囤家底各取所需

如今的乙游受众，早已不再满足盲目霸总式人设，更看重平等尊重、双向奔赴的亲密关系，格外在意个人边界与安全感。

5、硬氪首发

正如一位在行业坚守了20年的老创投人所言：“狂欢结束了，游戏规则改了。

这次操作更像是红鸟资本的一次“刮彩票”投资，虽然投资潜力股无可厚非，但阿拉伊贝戈维奇的市场价肯定在2500万欧元以上，这已经不是一个彩票式球员该有的价格。

这倒是对整届赛事最贴切的收尾。

6、功夫女足上映仅24小时，难堪的一幕发生，口碑崩塌，冯小刚没说错

所以你看，放眼AGI未来，从图像到视频，从视频到空间，从空间到动作，再到反馈闭环，AI正在从“模拟世界”走向“预测世界”，最终走向“重构世界”。

卜拉欣虽已随队止步，但其余六人仍有机会继续书写历史。

7、WNBA中国德比：韩旭6+2+2三分完胜李月汝0+1 自由人惨负飞翼

就在大战前夕，场外却因球衣问题泛起波澜。

据《体育报》报道，随着巴塞罗那俱乐部新财年的正式开启，拉玛西亚青训中场马克·卡萨多的处境在短短数日内发生了显著变化。

8、接班郭艾伦？辽篮后卫4场上双，杨鸣看走眼，赵继伟23分变成库里

马竞方面计划在八月季前训练开启后与阿尔瓦雷斯进行关键谈判，但越来越多的人感觉，西蒙尼在这场拉锯战中已经提前落了下风。

卜拉欣虽已随队止步，但其余六人仍有机会继续书写历史。

尽管马竞在公开场合态度强硬，多次通过社交媒体以讽刺姿态重申"球员非卖品"的立场，但据阿根廷转会专家加斯顿·埃杜尔透露，俱乐部内部其实早已心知肚明——新赛季想留住阿尔瓦雷斯，几乎是不可能完成的任务。

9、世界杯半决赛：阿根廷vs英格兰、法国vs西班牙，世界前四顶峰相见

直接参与26球，每73分钟一次。

本赛季他在防守端稳定不少，很少再看到注意力涣散的问题。

10、超市开张！降级队卖人狂赚1.5亿英镑！

拓竹未来或许能够凭更高的出货份额和更大的收入规模获得溢价，但从创想三维上市开始，市场不会再只为产品口碑和增长故事定价：收入结构、利润质量、现金流和增长持续性，都会被放到同一张表里比较。

数据显示，滔博年末总卖场面积同比下降9.7%，但单店面积反而上升了3.9%。

1、破防了！G3赛后广厦球迷怒喷王博：就是个软蛋，你要点脸吧！

现年54岁的齐达内，终于在本月与法国足协正式签约，正式顶替德尚，接过“高卢雄鸡”的教鞭。

2、世界杯得分王回国打全锦赛否？17岁非第一次跨级 看齐卞兰振兴江苏？

这位21岁的挪威边锋有可能今夏与队友迪奥曼德一同离队。

3、直击2026国际低空展：eVTOL新老玩家交锋，增程、氢能能源形式获关注

近6场热身赛取得全胜战绩，打入11球仅失2球，其中5场零封对手。周末谈星｜狮子月登场，水逆收尾，自信化身人群中的小太阳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、7000万报价+培养费！胡金秋天价转会上海突遭怀特塞德丑闻紧急叫停

尼科·威廉姆斯费兰·托雷斯完成了连线。

5、中乙兰州陇原竞技2-0陕西联合晋级8强将战国安，肖煜峰建功

巴黎圣日耳曼的若昂·内维斯、克瓦拉茨赫利亚和维蒂尼亚三人身价同为1.4亿欧，分列第七至第九。

6、火箭险胜鹈鹕 申京休战 为何对火箭产生的积极影响大于不利影响

”斯旺西城宣布从马瑟韦尔签下边锋伊莱贾·贾斯特，这笔转会尚待相关批准。

这是两套完全不同的战术，米兰球员今年夏天要改变的是整个跑位逻辑。

那么，极佳视界的壁垒到底有多高？ 模型架构层面，算法迭代太快，开源社区跟进也快，单靠某一个模型版本，建立不了长期护城河。

7、全国团体冠军赛：江苏队3比2胜北京队夺冠

“商业化起点永远是客户需求。

选择变多了，确定性却没有同步增加。

8、1980年，众人要求处死江青，陈云：若一定要杀，请写“陈云不同意”

” 还有人打趣说：“乔丹，就这一回，咱能不能给姑娘安排一架私人飞机？”摩根·罗杰斯在斯坦福桥落笔签字后，阿森纳是否会反手截走切尔西的下一个重要目标？转会专家罗马诺给出了答案。

更关键的是模型单价只是第一层成本账。

本届世界杯他已经打入2球，创造了连续六届世界杯都有进球的历史纪录。

接下来一个赛季，他用16个联赛进球助巴萨问鼎西甲，与亚马尔共享萨拉奖——西甲本土最佳射手。