据第三方机构Artificial Analysis的测算，Kimi K3单任务成本约0.94美元，与GPT-5.6 Sol的1.04美元接近，约为Claude Opus 4.8（1.80美元）的一半，价格带基本和海外头部模型属于同一阵营。

1、高比体育 随着赛事仅剩两场，他们今夏可能彻底无缘登场。

但传统的“堆卡”思路，已经走到了尽头。高比体育而最让人触动的是他对自己内心世界的剖白——他承认自己变得对进球过度执念。

2、暑期“慢充旅行”火了 出游同比延长2.3天

哪一次是确认，哪一次只是扰动？市场需要时间验证。

3、1970年，郑维山支持设国家主席，毛主席：陈伯达成了你的太上皇？

兼具城市娱乐地标和IP体验中心的双重属性，对于泡泡玛特而言，乐园的升级不仅意味着提供更好的游乐体验，还包括真正讲好IP故事。

4、"秒睡"罕见病有望得到有效治疗

7月14日世界杯半决赛，法国对阵西班牙，萨利巴只踢了30分钟便无法坚持，在队医陪同下走下场，由拉克鲁瓦替补登场。

5、“亲爱的，结婚纪念日快乐！”德约科维奇收获温网第7冠

但把账户摊开来看，他很清楚，只靠工资、储蓄和每年几个点的稳定收益，很难真正跨越阶层。

在今年夏天的夜晚，每天还都有三场音乐live在这里进行，涵盖爵士、古典、流行、DJ等多种音乐类型。

随着恢复进入收尾阶段，费尔明的目标是加入巴萨在英格兰的训练营。

6、球迷以为詹姆斯回热火官宣，结果只是误操作，其他队却开始整活

随着AI应用持续推进，国产算力需求快速增长。

被替换的项目是那些与主业关系不大，且消费属性较为明显的项目。

7、疯狂内卷，捉对厮杀！NBA每年最刺激的阶段要来了！詹杜又碰上了

西班牙传控，比利时也喜欢进攻，如此对阵格局，斗牛士军团反而无惧欧洲红魔，西班牙喜欢对手攻出去。

即使你不是泡泡玛特IP的受众，也可以在夏日的湖边，在梦幻浪漫的梦幻飞椅下，伴随着音乐小酌一杯。

8、2026年上半年全国营业性演出（不含娱乐场所演出）票房收入304.08亿元，同比增长9.41%；观众人数9881.18万人次，同比增长5.28%

拓竹重新评估后发现，这个冷门市场同时具备几个条件：规模不算大，但用户体验很差；产品足够复杂，有技术门槛；传感器、算法、运动控制和供应链能力，已经提供了“把产品再做一遍”的机会。

产品只需要把体验做得更好。

第四场也是最后一场季前赛定于8月15日在波兰弗罗茨瓦夫进行，对手是阿莫林的旧主曼联。

9、合同到期！上海全能内线或重返老东家，曾单场砍28+9被李春江看中

只有在一个不一样的分支中钻研、发展，才能够真正在新的赛道成为领先者。

「雅创未来 Beauty X」自2024年落地以来，始终立足中国美妆市场趋势，以消费者需求为核心，建立涵盖科技创新度、需求匹配度及解决方案成熟度的三维评估体系，构建“需求洞察–技术筛选–联合研发–落地商用”的高效创新闭环，累计吸引超800家本土科创企业参与，甄选20家优胜企业并推进多维度深度合作。

10、聚焦｜贾一凡/张殊贤：29比30之后，许多困难需面对

在创造进球机会榜和关键传球榜上，梅西分别以8次和26次傲视群雄，稳居第一。

唯一的区别是诺维奇当年没有那么多艾德·希兰。

1、王祖贤、吴启华都卖了！“老辈子”带着巅峰颜值，杀回来了

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。

2、盘点｜专业级卡片机的虚化能力大概是什么水平的？

这位18岁的波黑人出生于德国科隆，上赛季代表萨尔茨堡红牛出战44场贡献13球4助，代表波黑国家队14场2球4助，其中本届世界杯有1球进账。

3、媒体人：小赫迪拉被推荐到中超某豪门，最近会进一步接触

在此背景下，相关板块的估值达到历史高位，许多资金也选择借此机会兑现收益。亚运会男足抽签出炉：中国队与阿联酋、伊朗、朝鲜同组然而，随着财年截止日的过去，巴萨已无需为平账而急于出售球员。

4、易建联替补转会！2年合同起步，30岁也抢手，错过联手杜润旺

尽管面临激烈的队内竞争，巴萨仍坚信卡萨多具备可观的长期价值，因此并不急于降低要价。

5、3场0-3惨败！男排世联赛积分榜：日本零封登顶，8强赛对阵出炉

巴萨并不打算让他立刻满负荷投入，而是谨慎控制出场时间，将再次出现肌肉伤情的风险降到最低。

6、意足协主席：马尔蒂尼的合同不是我起草的，但他没提奖金的事

接下来是奥卡福尔，他在去年夏窗永久转会利兹联，本赛季表现出色，已打入8球、送出3个助攻，为米兰带来970万欧元资本收益。

这些动作，短期内看不出效益，甚至推高了成本，但赵晋荣还是力排质疑，坚持投入，他认为，如果不把国产化基础做起来： 一旦外部环境有变，北方华创的所有努力，就会变成空中楼阁。

进球不再是把球踢好的自然结果，而成了衡量他这个人到底有没有价值的唯一标准。

7、中国男篮大换血！2大核心离队，徐杰，张镇麟的机会来了

这位25岁的中场将加盟利雅得胜利，与C罗和菲利克斯成为队友。

锋线上，达尔文·努涅斯出任单箭头，弗拉门戈双星德拉克鲁斯和德阿拉斯凯塔分居两翼。

8、【光明论坛】以高素质教师队伍支撑基础教育扩优提质

大批球迷提前数小时便抢占位置，只为近距离目睹英雄风采。

小组头名在淘汰赛首轮的对手会相对弱一些，所以两队应该都会争取胜利。

他们在小组赛对阵伊拉克时曾单场轰入5球，展现了强大的压制力，但在对阵挪威等强队时也暴露出防线身后空当过大、抗压能力不足的问题。

boss直聘上，乐聚发布的技术岗月薪2万到20万。