Anthropic在和OpenAI竞争中的后来居上，以及MiMo-V2.5、GLM5.2、kimi K3的调用量增长，都能验证这个判断。

1、yobo体育 梁文锋在强调「管理一个大公司，靠的不是规章制度，靠的是愿景」，他的愿景显然是AGI。

而且跑步市场虽然盘子大、热度高，但想分块蛋糕的品牌也着实很多，除了昂跑和HOKA，特步收购的索康尼也是非常强力的对手。yobo体育长鑫目前HBM产能约5000片/月，在26.5万片总月产能中占比不到2%。

2、伊劳拉首谈利物浦蓝图：重拾身份认同，团队至上与信任青训是关键

比赛的下半场成为了阿根廷人展现勇气的舞台。

3、本周五晚，一起为湘超株洲队应援助力！

这段漫长的沉寂，让富勒姆在行使2400万欧元买断权时变得犹豫不决。

4、这3个信号，说明你今天不适合高强度运动_网易订阅

对于正处于重建期的意大利足球而言，这既是一次豪赌，也是重塑信心的关键抉择。

5、红旗插混中大型SUV上市！18.28万起，车长近5米，综合续航1580km

按照这个标准，可以明确区分“真超节点”与“伪超节点”。

只握着一个平台入口、无法触及网络存储和计算环境的公司，根本给不出“任务何时能跑完”的确定性承诺。

2023年夏天，沙特联赛横空出世，C罗、内马尔、坎特、本泽马……，一长串响当当的名字接连登陆，震惊了整个足坛。

6、咖说｜专访普华永道中国刘亚霄：AI落地最大的阻碍，是“它发展太快了”

而在科技领域，姆巴佩今年3月参与了法国数字健康保险公司Alan新一轮1亿欧元融资，这笔投资以50亿欧元估值完成，姆巴佩本人还将以品牌大使身份参与公司运营。

关于周远 凸性这个选题一直想写，但始终没有找到合适的切入口。

7、正式确定！广东宏远老臣重返CBA，加盟北京首钢

2026美加墨世界杯F组即将迎来最后一轮较量，日本队与瑞典队将在达拉斯体育场直接对话，争夺小组出线名额。

然而赛后，主帅图赫尔却用了"散慢"来形容球队的发挥，直言英格兰"很走运"。

8、意外！格劳明明在中超保级队都混不下去，为何如今却官宣加盟上港

全国一体化算力网相关文件已明确提出，要发展专业化算网运营主体，完善资源调度、需求撮合、计量、计费、交易及结算体系。

末轮荷兰对阵已出局的突尼斯，取胜几乎没有悬念，基本锁定小组第一。

杨植麟曾说过Kimi对他讲的一句话：“任何中间状态都有可能成为被批评的对象。

9、5年2.52亿美元！文班亚马提前顶薪续约马刺 为球队放弃超级顶薪

最离谱的是曼联球迷，他们剪辑了托纳利三次传球失误的视频——那是一场在训练基地闭门进行的季前热身赛，对手是MK Dons，他全场70脚传球就失误了3次。

米兰还有一个风险是管理层的地震。

10、39岁的她觉得自己“太单了”，想找个有房有车的对象……结果说去拍电视剧的地方雇一个演员都没这么贵

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。

如果你没有，我们就先不浪费时间了。

1、【WCBA联赛】季后赛｜排位赛第四场，浙江稠州银行74-89不敌合肥文旅，结束本赛季征程

玩家留存、付费、活跃，全部依靠剧情新鲜感和角色情感羁绊支撑，没有任何玩法底盘作为长效保障。

2、李沂泽之后：体育圈最痛恨的事，为何总有人前赴后继？

但劣势也同样存在，比如：分层架构意味着链路更长、调优更复杂，端到端效果未必比直接训练VLA更好。

3、全场0进球！科贝尔、巴尔加斯多次神扑，点球4-3瑞士淘汰哥伦比亚

有鉴于此，巴萨正试图把建队计划提前到现在完成，而不是拖到2027年。遭遇逆转，拿到第10名！中国U17男篮惜败5分！甘伯体育城的初步检查结果显示，这位荷兰国脚将缺阵三到四个月。

4、乒乓球全锦赛：王楚钦/孙颖莎晋级混双8强

数据中心建设成本非常高，国内建设机房可能一年到一年半能完成，国外往往需要更长时间，建设之前还需要获得能源审批等资源支持，整个过程非常复杂，后期扩容也不容易。

5、亮相大国新药全球会议，广药集团向全球发出优质科研BD管线合作邀约

这种过山车式的表现在伯恩茅斯可以被容忍，但在利物浦？一段两个月的平局期，在伯恩茅斯是"九场不败"，到了利物浦就会变成"五场不胜"。

6、感恩有您，母亲节快乐！_网易订阅

7月20日，中创新航港股开盘后一度跌近13%，收盘跌7.95%。

摩根士丹利将其定性为国内大模型行业“定价回归”的标志性正面信号。

随着户外赛道火热，北面和始祖鸟分别开始在2023年和2024年自建渠道，三夫过半的营收突然就没了，一度岌岌可危。

7、骑士100-91击败公牛！二轮秀又砍下24+2+2，哈登帮手诞生

告别曼联登陆美职联，卡塞米罗如何融入球队？ 如今大部分障碍已被清除，即便联盟仍在调查这笔转会。

三狮军团阵容均衡，核心球员处于巅峰期，但防守端的隐患以及关键战的心理素质，依然是他们必须跨越的障碍。

8、山东男篮好消息，陶汉林完成续约，2新援有望首秀，祝铭震斗旧主

一旦他做出决定，俱乐部预计将发布官方声明。

以上路径成立以后，还要解释市场为什么没有提前完成定价。

另一场半决赛，阿根廷人展示了什么叫冠军的心。

这种“你支持我，我记住你；你有难，我伸手”的朴素逻辑，超越了国界与文化的隔阂，诠释了体育精神中最纯粹的人文关怀。