Fluence与美国两大云厂商签订12GW潜在储能项目储备。
1、熊猫体育 巴萨能用这个价格把人带走,说是一笔"捡漏"毫不夸张。
这笔潜在的签约,源于同胞伊劳拉的明确要求,这位利物浦新任主帅点名要得到托雷斯。熊猫体育这些年,滔搏做对了很多事:转型够早,动作够快,把自己磨成了行业里最能干的运营商,却也证明了运营得再好,并不意味着拥有得更多。
2、曝皇马愿出售楚阿梅尼,曼联寻腰获重大利好
涨价的直接推手是碳酸锂成本上涨(按行业通用估算,每吨18万元的碳酸锂对应314Ah电芯理论成本约在0.35至0.38元/Wh区间),但更根本的原因是大电芯换代过程中的供给断层。

3、绵阳多条公交线路、站点临时调整
这些数据表明,虽然只有18岁,但他在身体层面已经能够承受成年队比赛的强度,在防守端的投入度和位置感都值得称赞。
4、新品丨26-27赛季曼联球员同款训练服、POLO、赛前热身服
该机构认为下半年黄金有望震荡修复,下有配置价值、上需事件催化,年底目标区间4300至4500美元。
5、战绩47胜54负还不愿当卖家?合同最后一年,太空人只能硬撑到底
7月30日,球队将前往骑士头公园球场对阵伯明翰城,这也是今夏首场公开热身赛。
塔勒布参与的一项尾部风险研究曾指出,在严格限制左尾损失的情况下,一端保持较高确定性、另一端保留较大不确定性的“杠铃结构”会自然出现。
科斯蒂奇2007年出生于黑山,2025年夏窗以90万欧元的价格加盟贝尔格莱德游击。
6、广西贵港动物园溺亡狮子事件反转!被骂到崩溃的动物园夫妇,终于等来了全网的善意
工程师每周跟客户开会,甚至直接驻场。
图:部分事故披露 公司一边大手笔扩产,募资4.06亿元投向多个扩产项目,一边连最基本的安全投入和管理都跟不上,在产业升级的大趋势下已经难以为继。
7、全国都在踢“省超”,河北为何静悄悄
巴塞罗那依然是阿尔瓦雷斯心目中的首选,也是目前最热门的下家。
球队以东京奥运会U23班底为核心,瓜达拉哈拉青训球员为主干,8名旅欧球员构筑防线与中场硬度。
8、美媒:美国正向中东地区增派部队、医务人员和武器装备,以便向特朗普总统提供“更有力的军事选项”
这个仓位不是为了立刻赚大钱,而是让他开始投研这家公司的财报、跟踪客户和记录竞争变化。
今年2月份,萨索洛正式宣布从马赛买断科内,买断金额约为1300万欧元,仅仅半个赛季之后,他的市场估值已经逼近2500万欧元,目前税后年薪81.4万欧元。
三条业务线,商业化进度不一 技术之外,市场更关心的是,极佳视界的商业化到底走到哪一步了? 简单来说,三条路线进度不一:自动驾驶最成熟,工业刚起步,家庭还在验证。
9、印度交锋11胜3负又如何?Iyer带队至今无胜 津巴布韦穿1992复古球衣迎战
首轮面对刚果,球队全场占优却被对手1-1逼平,爆出了不小的冷门,暴露出慢热和攻坚效率不足的问题。
接下来的几周,将直接决定阿尔瓦雷斯下赛季是否会身披红蓝战袍。
10、邵阳提升防汛、地质灾害应急响应至三级
但现在,失望是巨大的。
世界杯决赛前,哥伦比亚流行天后夏奇拉被问到了一个绕不开的话题:亚马尔能否成为下一个梅西? 她没有给出任何大胆预测,而是给出了一段相当务实的回答。
1、国际奥委会解禁俄罗斯,乌克兰:强烈反对!
这几项,全部低于华尔街预期。
2、热火官方YT泄露“詹姆斯加盟新闻发布会”,球队称是安排错误,疑点仍未解
以批发价格低于200美元(约合人民币1353元)的千元机为例,在当前内存报价下,假设其他部件总成本保持稳定,一款6GB LPDDR4X + 128GB eMMC存储配置的新机,其存储设备将占总物料成本43%。
3、赫恩:“我们怀疑富里!” 约书亚推广人回应退赛担忧,AJ比我更可能参赛
如果非要给出一个预测,瑞士1-1战平哥伦比亚或许是比较合理的结果,次选哥伦比亚1-0小胜。郑钦文找回状态,完胜赛会6号种子轰出雅典站开门红,迈出美网抢分第一步再一次。
4、宿茂臻本轮赛后官宣重要决定!直言马德鲁加将留队,值得期待
末轮1-0击败韩国,更是经典的防守反击教学——控球率只有三成多,射门数远不如对手,但就是抓住了一次机会,把韩国队踢到了小组第三。
5、数百退役球员脑损伤索赔案生变:牵头律师请辞,出庭律师称当事人正“凝视深渊”
他在边路的突破与终结展现了极高的战术价值,这粒锁定胜局的进球更是其金球奖级别实力的完美体现。
6、分类精细管护 永靖筑牢黄河上游生态安全屏障
支付端,湖北在3月出台了全国首个脑机接口医疗服务价格项目;上海把博睿康的植入式产品纳入了“沪惠保”;广东更是提出了到2030年要新增100家脑机接口科技型企业、建成200个脑机接口病房的目标。
02 播客为什么特别盛产这些词 这首先和中文播客的核心听众有关。
在这一背景下,皮尔斯对赖斯的使用提出了审慎意见。
7、海港有福了:前中超超级外援奥斯卡考虑重返上海滩+培养足球人才
尤文图斯正在加大对热刺门将维卡里奥的追逐力度。
综合来看,本场比赛大概率是小比分格局,巴西小胜或两队平局是最有可能的结果,很难出现大比分悬殊局面。
8、克雷桑扳平!泰山队1-1残阵上港,杨希收获职业生涯处子球
先看抢人前移。
但3D 打印的传播链条更长,一个模型从被看见到被打印,还要经过尺寸、结构、耗材、时间、装配和用途的判断。
杨晓煜认为To B的核心不是“简单粗暴砍人头”,而是“提效增收”。
无论是TT语音,还是AI音乐,趣丸科技的思路是将“用户洞察”置于技术研发之前。
用户赫尔城老板:被拒传闻让我不安,已签3将,日本中场签约进度99% 为45岁阿隆索匈牙利站后决定F1未来:在最后排争夺每一圈,等待纽维时代的黎明赠送这辆2017款保时捷Macan GTS仅行驶2万英里,双涡轮V6配运动排气,竟无底价开拍伊布怒喷英格兰水货!世界杯全程散步坑队友,在场等于少打一人
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用户伊布拉希莫维奇谈梅西遭攻击:传奇无需奖杯佐证,足球自有答案 为35岁格列兹曼:曾是马竞队史射手王,如今在奥兰多开启新生涯赠送830名青少年齐聚酒城大“笔”拼!第五届青少年书画传习大会书画传习大赛总决赛在泸州开赛人气票
用户喜讯!李国旭在本轮足协杯郑重承诺!直言将在河南客场踢好比赛 为利物浦或迎13.5亿镑重磅注资,前QPR老板财团正洽谈收购30%股份赠送世界杯最新积分榜:3-0!1-0!8强产生2席,法国晋级,东道主出局点赞最棒
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用户韩鹏往死里用谢文能!阿尔瓦罗堪比“玻璃松”,英博若双杀山东算强队不? 为6场807码,他有望冲击CFL历史接球纪录赠送Newsboy Nap:Paradise Walk冲击Ascot三连胜人气票
用户星队1年1200万续约罗伯逊暂缓仲裁纷争,前路仍存变数 为利物浦收购财团被曝锁定维尼修斯 贝索斯入局欲挖皇马头牌赠送后悔吗!罗斯刚换下米特里策不久,铜梁龙就抓住机会扳平比分人气票
用户大谷22轰60打点,施瓦伯33轰联盟第一 道奇费城人决战第三场 为中超一天3红!曝山东泰山已对“京鲁大战”争议判罚进行申诉赠送MLB被指秘密修改规则,洋基游击手遭罚后怒斥裁判:你们就是在针对我!人气票
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以当前主流的AI加速芯片为例,采用Chiplet架构+3D堆叠封装的产品,相比同制程的单芯片方案,算力可以提升2-3倍,数据传输带宽提升5倍以上,同时整体成本降低40%。我要发布>>
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。我要发布>>