不同的是，DeepSeek用开源和低成本路线扩大外部影响，而不是优先依赖企业客户完成商业闭环。

1、乐鱼电竞 他被盯死了，被控制住了，面对本届赛事最好的防线，姆巴佩无从挣脱。

由于电芯形变弯曲酷似香蕉，维修圈就给它起了“香蕉电池”这个名字。乐鱼电竞简单统计之下，仅出现在聚光灯之下的就有十多人。

2、摩洛哥国门布努谈梅西：罚丢点球后反而更可怕，他是全新蜕变的球王

而同一区县多个部门重叠重复设立的基金，则被打包归并，统一划转至省级或市级集中管理。

3、意大利有救了！曼奇尼皮尔洛靠边站，马尔蒂尼锁定历史最佳主帅

” 博睿康成立于2011年，长期深耕脑电采集、神经调控与脑机交互设备，目前已形成20余款非侵入式产品矩阵。

4、大连球迷，你们太棒了！

来到亚特兰大后，达米科的权限和舞台都变大了，这也让他的能力得到进一步释放。

5、美军连炸9天，全面大战即将打响，伊朗突发政变？穆杰塔巴先跑了

06 先决定最多愿意亏多少 周远接下来的难题，是账户应该怎样设计这些经常性的失败。

更大的压力来自费用端。

从概念炒作到系统重构 2023年，AI手机的概念刚刚被提出时，主流手机厂商的反应出奇一致，并且迅速跟进，掀起一轮营销热浪。

6、阿斯顿·马丁七次破产，再借7.35亿美元，中国吉利或接手

“母告子”始末 事情还得从2015年说起。

另一方面，当前，运动鞋服行业的消费需求依然存在不确定性，在耐克还在进行线上缠斗稳价的间隙，价格敏感型客群，则可能会直接流向安踏、李宁等国货品牌。

7、世界杯一战封神！巴萨 6000 万水货逆袭！一己之力送阿根廷丢冠

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。

这个数据对于球队的头号球星来说相当尴尬，客观来讲，主要存在两方面原因。

8、4年1.85亿，被逼掏空钱包的湖人，后面该如何逆风翻盘

我们找到了几位加盟商。

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。

对米兰管理层而言，在即将发生的夏季变革中，队内已经没有绝对的非卖品。

9、官方确认！？世界杯决赛中场秀只占11分钟！

自2018年以来，三狮军团已第四次闯入大赛四强，这一数字追平了球队此前整个历史的总和。

这场比赛的关键在于，葡萄牙能否攻破哥伦比亚的密集防守，以及哥伦比亚的反击能否抓住葡萄牙压上后的身后空间。

10、MLB 7月23日投注指南：比伯三振数看高一线，普法特难破3.5K

整个FIFA世界杯赛程周期内，乐事围绕消费者“看球、欢聚、分享”的行为路径布局品牌触点，将世界杯的激情与消费者的真实生活场景紧密连接。

他走进的，是一家正在经历多重风暴的豪门。

1、0时0分准时生效，联合国传来消息，中方带头行动，跟美国算了笔账

价格、内容、版权和社区治理，都不是多加一个传感器或修改一套算法就能解决的问题。

2、岳阳广济医院，招贤纳士！

高级顾问伊布正在疯狂寻找合适的接替人选。

3、英格兰青年队酒店斗殴视频曝光 队友围观录像无人劝架

这位19岁的巴萨中卫身价飙升2000万，达到1亿欧元，与萨利巴并列世界身价最高中卫。造成重大人员伤亡，国务院成立广西六蓝水库“7·6”溃坝灾害调查评估组权威数据机构OPTA最新更新的夺冠概率，将当前的争冠格局勾勒得十分清晰：法国以33.71%的概率断档领跑，西班牙以27.25%紧随其后，两队合计占据了超过六成的夺冠预期。

4、今日重要赛事！7月18日，CCTV5、CCTV5+直播节目表

“给自己贴上热门的标签绝非好事。

5、切尔西被曝锁定加纳20岁全能中场，身价估值2700万欧

尽管伤兵不少，德泽尔比此行仍有不少看点。

6、里斯谈“受保护物种”争议：感谢联盟行动，这里不容歧视

此外，随着边路猛将尼科·威廉姆斯的满血复出，亚马尔也是渐入佳境，西班牙的“魔幻双翼”将直接考验法国队转身偏慢的边路防线。

最令球迷诟病的是后防线的系统性崩盘。

当然，如果米兰实在无法在转会窗进补到保质保量的中场，或者夏训期间科莫托展现出能够担任特定战术角色的适应性，那也不排除以替补身份留队的可能。

7、心碎瞬间！梅西世界杯决赛失利落泪，阿根廷足协：你的泪也是我们的泪

许玮称，“推理成本的优化已从单纯堆叠算力，转向数据和存储‘存算协同’的系统级效率提升。

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

8、瓦斯科达伽马主场迎战米拉索尔：保级区仅一分之差的六分战

卡马尔达的另一条路线是继续外租，这也取决于米兰新任主帅和体育总监的态度，目前租借最热门的去向是都灵和蒙扎。

葡萄牙的战术更加灵活，马丁内斯可以根据对手在4-3-3、4-2-3-1甚至3-4-2-1之间切换。

月之暗面的股东名单堪称豪华，红杉中国、真格基金、阿里、腾讯、美团龙珠、IDG、社保基金等悉数入局。

双方伤停情况：均无。