十年后，大模型进入推理密集期，智能体反复调用模型，长上下文带来更重的输入负载，算力的衡量方式也更关注单位token的性价比。

1、ob体育 世界杯结束之后，费兰才会认真考虑自己的下一站。

今天命运写好了剧本，就是让我们赢。ob体育西班牙将在决赛中对阵英格兰或阿根廷。

2、【CBA联赛】第三十七轮｜七连胜！浙江稠州金租95-72胜山东高速！

而前苹果工程师Chang Liu离职去了OpenAI，故意不交还工作电脑。

3、封面来了！王祉怡：跨越山海 再向彼岸

据悉，米兰当下的训练课强度大、节奏快，以高位逼抢为主基调，同时非常注重对青年队球员的考察评估，卡马尔达、科斯蒂奇、科莫托、奥索拉都是重点观察对象。

4、申花开赛至今都没5外援首发 依然足协杯进8强 联赛赢了8场 平了5场

穆萨倒是让阿莫林很感兴趣，他有意在训练中测试美国人的多面手属性。

5、陈涛谈足协杯出局：我们确实做得不够好，我来承担全部责任

这些收入大部分来自Anthropic超过30万的企业客户。

” 对月之暗面来说，它仍处于这样的中间状态，想要实现更高的智能，它的前面还站着更多的DeepSeek。

引进戈登和阿德耶米这两把尖刀，正是为了分散这份重担。

6、正式收官！国乒小将豪取10连胜，马龙许昕光速下班，蒯曼稳到家了

架构创新之外，K3 的能力定位也很清晰，面向长程编程、知识工作、深度推理等前沿智能场景，少量人工监督下即可持续执行长时间工程任务。

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。

7、安谋科技WAIC爆更：打出AIoT组合拳，NPU放大招，剧透下一代VPU，牵头发起开源AIOS联盟

最近，关于米兰的选帅工作终于有了一些眉目，在伊布和卡尔迪纳莱出现分歧的情况下，前者做出让步，将决定权交给红鸟老板。

转会切尔西，当时看起来是对主帅和球员双方都合适的出路。

8、原来3万在Chanel还能买到包啊！

同一份招股书，同一个发行价8.66元，长鑫科技有两套市盈率。

面对这种“牛皮糖”式的防守和整体战术的绞杀，姆巴佩引以为傲的速度优势无从发挥，只能陷入单打独斗的泥潭，反之亚马尔如鱼得水，不仅造点，还打入一球（因越位被吹掉）。

14岁的学生埃克托·莫利亚尔在巡游现场看到了托雷斯、亚马尔和梅里诺，他说："我为西班牙的第二颗星感到非常高兴，非常开心。

9、CPB夏至联赛8月上海挥棒，上海虎鲸携西岸棒球场重磅亮相

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。

最后一轮关键战，阿莱格里会延续使用那些他认为状态更好、精神更集中的球员，因此在锋线上会是恩昆库、希门尼斯和菲尔克鲁格3选2。

10、美加墨四强球队中，法国8年未夺冠，西班牙16年，那英格兰队呢？

OpenAI、Anthropic等用两三年的时间，“市值”便冲进世界前十，成为头部AI公司。

西班牙又目睹了对手阵中一名关键球员因伤退场。

1、泰山夏窗大调整：6人离队仅补充1人，30人名单敲定，韩鹏去向明确

丘库埃泽是这四人中变数最大的一个。

2、再见NBA！24岁进攻天才！连底薪合同都没了

从地方政策到国家战略，整条链路正在打通 本轮脑机接口的爆发，背后是政策的全方位支持。

3、风城新旗手！“老派新秀”威尔逊带给公牛复兴曙光

相较于进攻端，科莫托在防守端的表现更为突出，场均触球23次，场均夺回球权1.6次，赢得对抗2.8次。日本：遗憾，但美方保证了…从国家队队长到安菲尔德的新王，索博斯洛伊已经做好了接班范戴克、戴上队长袖标的准备。

4、从奢侈品牌到「人格标签」？Demna 想重写 GUCCI

阿莱格里的合同至2027年，净收入500万欧元，相当于税前900万欧元。

5、杜润旺离开广东！3年顶薪到手，徐杰看了眼红，朱芳雨出手太小气

对于克罗地亚而言，这是一道再简单不过的算术题：赢球直接出线，打平则需看别人脸色，输球基本宣告回家。

6、超10年“健康赤字”怎么填？国内首份百岁健康标准给出答案

据多家英媒报道，蓝军正在权衡签下英格兰中卫约翰·斯通斯的可能，同时对伯恩茅斯中场亚历克斯·斯科特的报价已遭到拒绝。

红鸟财团杂乱无章的管理方式似乎是造成当下处境的原罪，米兰至今已更迭了4位主教练和3位体育总监。

作为一名左脚将，身高194㎝的帕夫洛维奇在阿莱格里的三中卫体系中牢牢占据了左中卫位置。

7、超越巴西，荷兰创世界杯3项纪录！

从历史交锋与心理层面来看，西班牙队近年来在面对法国时展现出了极强的战术克制力，近五次正式比赛交手赢下三场，包括2024年欧洲杯半决赛的逆转淘汰。

当前，他已经提出了留任的三个基本要求：一是在转会市场上从球员个人素质和领导力方面补强阵容；二是考虑到欧战任务，每个位置都要增加一名人员，扩大阵容规模；三是管理层能像塔雷那样支持他，而不是像伊布那样反对他。

8、专栏｜穿搭，是女作家的第二种语言

西甲收官战：姆巴佩的短暂喘息（0胜1负） 2025/26赛季西甲第10轮，皇马主场2-1小胜巴萨，姆巴佩打入制胜球。

（图片系AI生成） 7月23日，锂矿指数（884785.WI）大涨6.26%，*ST威领（002667.SZ）、川能动力（000155.SZ）等5股更是集体涨停，在“硬科技”大跌背景下带领大盘收红。

开业那天正好赶上中秋节，按理说，是一年里最好卖的几天。

中国每年进口DRAM约300亿美元，长鑫2025年全年营收折合约86亿美元，自给率不到三成。