图源：中商情报网 但与此同时，“大模型套壳”现象也普遍存在，真正的技术壁垒尚未建立。

1、博鱼下载 中兴通讯将其定位为“AI终端新品类”，意图将其打造为继手机、智能穿戴之后新的AI入口。

如果卡马尔达和科斯蒂奇在季前赛表现出色，说服了主帅留下自己，那么第二道坎是明年冬窗，这取决于他们在上半赛季的出场表现，能否利用意大利杯、欧联杯以及意甲的轮换机会证明自己，二人的数据将决定明年冬窗的去留。博鱼下载上半场，摩洛哥门将布努化身叹息之墙，不仅神勇扑出了姆巴佩主罚的点球，还多次化解了法国队的必进球机会。

2、世界杯130亿美元的账单，究竟摊到了谁头上？

但巴萨前锋并不缺少追求者，据罗马诺透露，已经有多家其他俱乐部也向这位攻击手抛出了橄榄枝。

3、国安久违强援本轮刚亮相登场！就被主帅点名表扬，直言他很出色

弗里克已向体育管理层明确表示，他的首要任务是在进攻端的数量和质量上双双升级，且这不会妨碍球队补强其他位置——比如后防线。

4、48胜老虎队主场战43胜皇家 美联中区内战梅尔顿对决多布纳克

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。

5、爱尔兰甲级联赛第24轮：都柏林大学主场迎战科克城_网易订阅

托莫里已被挂牌待售，德温特则有望留队。

三是从严监管维护市场“三公”。

梅西和李飞飞就这样“跨次元”合作了。

6、维拉官宣租借加纳乔，4300万镑有条件买断，切尔西握10%分成

而125Wh/kg以下的低端产品已完全退出市场。

"亚马尔顿了顿，"这句话的分量，跟我脖子上这块金牌一样重。

7、碾压阿马德！曼联锁定 3900 万世界杯超新星！彻底甩掉拉什福德

这里是家长们口中的遛娃圣地，也是年轻人心目中能没有负担说走就走的减压之旅，在一些特殊节日，你也能看到涌入乐园一起庆祝的人。

中原期货分析师杨江涛指出，供给端，2026年为全球锂矿产能释放大年，全年产能同比增速达30.41%，国内产能增速42.79%，下半年海外矿山、国内冶炼产能持续爬坡，叠加锂辉石、碳酸锂进口同比大幅增长，原料供给边际持续宽松，锂云母供给短板随产能修复逐步缓解，整体供给增量充足；需求端支撑依旧强劲，正极材料、三元及磷酸铁锂产量与开工率大幅抬升，新能源车渗透率持续提升，储能招标、中标容量同比翻倍增长，终端刚需高景气延续；库存端持续低位去库，同比大幅回落，现货紧平衡格局对价格形成底部支撑；成本端上半年冲高后6月显著回落，行业利润修复将进一步刺激产能释放，压制上行空间。

8、韩国“最贵离婚案”宣判背后：AI牛市搅动，财阀股权格局受挑战

2021年，中际旭创定增募资约27亿元，重点投向800G研发和产能建设，同年光模块销量突破1000万只，中际旭创凭借行业领先的技术研发能力、全面交付能力等优势，成为全球光模块厂商中的“一哥”。

由于多名一线队主力仍因世界杯赛事处于休假状态，此次集训初期将以考察阵容和储备体能为核心。

第55分钟，安东尼·戈登打破僵局，英格兰1比0领先。

9、泰山2场被对手狂轰65脚！韩鹏换人太拉胯了，赢球为何被骂？遇到文旅运气太好了

当然，挪威的短板同样明显。

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。

10、世界女排联赛最新积分榜：中国2-3加拿大，美巴领跑，日本3连败

他面对的是一个被专利悬崖折磨得筋疲力尽的组织，一个被诺和诺德远远甩在身后的GLP-1赛道，和一个刚刚在阿尔茨海默病领域遭遇惨败的研发管线矩阵。

尤文图斯的介入则为托莫里的转会增添了更多变数。

1、穆里尼奥硬刚老佛爷！强抢世界杯冠军王牌，皇马内部彻底对立

尽管阿根廷国内有报道称他已口头同意带队至2030年世界杯。

2、“卖酒向卖生活方式转变”！省长调研多家酒企

当前米兰的阵容中最缺的就是中锋，这对于卡马尔达和科斯蒂奇来说既是机遇又是挑战。

3、梅西赛后瘫坐掩面痛哭 世界杯生涯大概率就此终结

最要警惕的是押金和培训贷。宁忠岩的金牌，遮不住中国冰上的“窟窿”对已经形成一套成熟的流程管理体系的大厂而言，像Anthropic一样持续建设透明上下文，能够保证创意能自下而上流动。

4、一个月内两大英格兰中场接连破纪录转会，他们凭什么这么值钱？

临时更换主场意味着比赛日收入将大幅缩水，而这是俱乐部最大的收入来源之一。

5、102场448次保送领跑全MLB，小熊队正在用最无聊的方式改写历史

我们希望与行业内成熟、有实力的企业开展合作，包括联合发布白皮书、分享行业经验和最佳实践，为客户提供参考建议。

6、对阵日本！男篮首发5虎预测：曾凡博被挤掉，高诗岩只能打替补

英格兰的隐患主要集中在防线。

孙卓认为，“战略要坚定，但战术一定要灵活。

现在的问题是：上赛季是例外，还是之前两个赛季"升班马全部降级"才是常态？ 从三支升班马的身份来看，答案倾向于后者。

7、张晓彬缺阵！目标3分，武汉三镇没有退路可言！

尽管他的合同截止到2028年6月，但今年夏窗米兰已准备好评估报价。

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、凯尔特人新援杜兰：想穿着这身球衣进更多球

因此凸性投资的使命不仅仅是“赚钱”，还可以改善账户在极端情形下的生存能力。

射正率50.91%、射门转化率10.53%，不算出色，但也绝不算最差。

它传递了两个信号，一是C端调用真的撑不住了，二是B端的API调用正在爆发式增长。

朗尼克已与卡迪纳莱、伊布和卡尔维利完成两次交谈，明确表示接受米兰项目，但附带一整套条件：他要求掌握教练人选、体育总监任命、青训足球发展和球探选择在内的全部决策权。