其核心的汽车业务仍在盈利，但利润像挤牙膏一样微薄，无法支撑起如此庞大的烧钱计划。

谷歌被罚8.9亿欧元

97703 ★

摘要：松下宣布投入3500亿日元扩产电池产能，目标将数据中心储能营收提升至当前三倍。

他全程没有辱骂，没有过激的肢体动作，甚至双手背在身后，将诉求精准地控制在“沟通态度”层面，而非“判罚对错”层面。

1、博亚平台只要他们再入2球，皇马就将超越布达佩斯洪韦德（1954年）、拜仁慕尼黑（2014年）和巴黎圣日耳曼（2022年）共同保持的18球纪录，成为世界杯历史上单届进球最多的俱乐部。

阿拉伊贝戈维奇当前的德转身价为2200万欧元，米兰想要签下他并不容易，需要面临激烈的竞争。博亚平台不过，就在新的“造富神话”即将诞生之际，A股科技股的市场表现却并不尽如人意。

2、任丘“链齿云”激活千余家企业协�...

随着2026年美加墨世界杯的火热进行，国际足联主席因凡蒂诺再次抛出了一枚震撼足坛的重磅炸弹。

3、最后一舞，雄狮不谢幕：致敬萨迪奥·马内的国家队岁月

升班马=降级队？这可能是关乎英超整体走向的一个关键问题。

4、“相亲相爱一家人”群必转：谨防八大春节病，安心过大年！

而54号文明确了“穿透式审计”，这意味着，现在的国资审计、巡视和纪检不再只看报备的主合同，而是穿透核查资金流水、关联方往来，甚至调取相关人员的谈话记录与工作邮件。

5、毁代谢的5个坏习惯，最后1个年轻人命中率最高

作为乌拉圭足球的标志性人物，弗兰曾效力于曼联、比利亚雷亚尔、马德里竞技和国际等豪门俱乐部，以36粒进球位列国家队历史射手榜第三，更是2010年世界杯乌拉圭闯入四强的绝对核心。

在火速引进拉莫斯和希拉两名新援后，AC米兰的夏季转会窗口进入了先出后进的阶段。

为什么？因为智能体（Agentic AI）的工作方式，彻底改变了算力的消耗逻辑。

6、广东村干部刘名芳，感动中国！

“HWG！”当知名记者罗马诺用标志性的口号确认这一消息时，整个足坛为之沸腾。

不过图拉姆和劳塔罗·马丁内斯两名锋线核心都将因世界杯归队较晚而缺席本场比赛，这对国米的进攻端影响较大。

7、米兰新标王真涨价了？德转估计拉莫斯身价+2000万

国家队帅位的假设同样未被排除，对于阿莱格里来说，将陷入低谷的意大利足球带出泥淖也很有吸引力，但他要面临孔蒂的竞争。

其次，在综合智能方面，K3跻身全球Tier1，但仍未超越最强闭源。

8、人能活多久看头发就能知道？医生：寿命长的人，头发会有这些特征

但如陶冶自己所说：硬件容易模仿，软件更难，生态最难。

消费者不仅期待正品保障，也期待更高品质以及不同平台之间一致的消费体验。

” 我们来算一笔账—— 一家标准的机器人创业公司，百万年薪的博士配上千万身价的顶尖教授，一年光发工资就得干烧掉1个亿。

9、烟台高新区再添市级知识产权优势企业

摩洛哥同样以2胜1平积7分的战绩出线，因净胜球劣势屈居C组第二。

纽卡斯尔在出售戈登和托纳利后拥有充足的转会预算，签下托莫里在财务结构上完全可行，俱乐部也需要用有分量的引援向球迷展示雄心。

10、落井下石！美媒痛斥C罗卷入丑闻，早已厌倦了他的傲慢和夸张动作

这是对AI商业化本质的回应：技术只有穿透底层算法、中间层交互与终端物理载体，才能真正融入每一个普通人的生活，才能形成可持续的商业模式。

中场由罗德里、佩德里坐镇，传控调度能力属世界顶级；边路亚马尔、奥亚萨瓦尔两翼齐飞，兼具单点突破与门前终结能力；后防线新老搭配，库巴西等年轻球员快速成长，整体攻守均衡。

1、3500万网约车司机助力滴滴充电市场登顶，特来电和星星充电们正在被“围剿”

看似温馨的海盗船，实际非常刺激，最高点近乎垂直下落，并且有着明显加速。

2、森保一：有人觉得可笑但日本队目标是赢巴西然后世界杯夺冠

时隔三年，米兰又一次把目光投向了这位日本中场。

3、意外！曾留洋拜仁的他将在中超夏窗回国踢球，曾在奥乙表现不俗

这种热度也传导到了刚刚闭幕的2026世界人工智能大会（WAIC 2026）上。这几年做得最正确的一个决定，分享给你们在瑞典人眼里，朗尼克是一位掌控欲极强的人物，会不可避免地和他自身的权限产生重叠与挤压。

4、一场2-0！打出世界杯大黑马，美国队晋级+对决比利时，16强剩6席

对于贝西克塔斯而言，这不仅是竞技层面的豪赌，更是向加拉塔萨雷、费内巴切等争冠对手发出的最强宣言：他们也要争冠。

5、刺客信条？亚马尔的场上表现可圈可点，已成法兰西的宿命之影！

然而，马竞对这位前曼城前锋的标价高达约1.3亿英镑，这个数字远远超出了巴萨的承受范围。

6、一条人命两千条蛇！广西横州洪灾背后，谁该为失控的养殖场负责？

数据生成后，在AI推理、训练中不断流动，并持续创造价值，这些价值又能反过来帮助模型更新、演进，形成良性循环。

如果仓位上涨，要重新计算剩余凸性。

法国队本届赛事前六场保持全胜，小组赛三战轰入10球仅丢2球，以I组头名强势出线。

7、当你感到不顺时，一定要主动戒掉这种口头禅（并非玄学）

因为借款人在最初优惠利率结束后，明显上升的月供会带来很多信用违约。

一个客户贡献三到四成的营收，这在动力电池行业极为罕见。

8、从每天深夜崩溃到内心平静，我坚持这5件小事后彻底释怀了

”然而，当我们拨开情绪的迷雾，还原赛场真相时便会发现，这绝非所谓“球霸”的骄横，而是一位39岁老将在高压之下，为全队守住尊严底线的领袖担当。

这套人马成为阿莱格里时期的固定搭配，却未必符合阿莫林对高位防线和后场出球的硬性要求。

Momenta是一家深耕L2级辅助驾驶方案的智驾公司，主要收入来源于软件与服务。

这支西班牙队不仅防守稳固，更将传控足球演绎到了极致。

审美倒退30年？舒淇却被全网夸爆了夏季崴脚频发、严重骨折！“凶手”多是这款潮鞋，医生提醒这个穿法太火了，夏天显高显瘦又时髦 7-1！国安U20大胜，中场双星梅开二度，获蒙哥马利和国青主帅关注

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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. 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