龙头企业在大规模投入前理性止损，是产业从“青春期”走向“成年期”的典型信号。

1、yb体育 觅光凭借差异化的产品路线和亮眼的市场表现，赢得资本方的持续青睐。

但随着“科技小登”股价跳水，上述公司实控人的持股市值也随之下行。yb体育25/26赛季，恩昆库作为转会标王从切尔西加盟，各赛事35次登场仅贡献8粒进球和3次助攻，表现缺乏连续性。

2、习酒总助谢远东主动投案：任职近20年，曾管理采购、酒旅融合等关键部门

仍以天齐锂业为例，2025年上半年，公司归母净利润仅录得8441.06万元，扣非净利润132万元，这一盈利水平仅好于亏损的2020年和2024年。

3、山东高速男女篮都没闲着

这位瑞士国脚同样受到亚特兰大的关注，新帅和体育总监琼托利都对他有好感，特别是琼托利在尤文图斯任职期间就想引进亚沙里。

4、广厦退出争冠行列！爆布朗签约权将交易，桑普森或加盟首钢，王博巧妇难为无米之炊！

产能增速全球第一，每年新增8.5万片，三巨头同期的年增量最高不过6万片。

5、征服或和解——兰马精英女跑者的亚高原闪耀之旅

滔搏暴力打折甩卖耐克库存？客服：没有收到降价通知 7月23日，“滔搏暴力打折甩卖耐克库存”话题登上热搜。

如今，他们的野心不再止于制造话题，而是希望在中长期内打造出真正具备顶级竞争力的球队。

两人在俱乐部的一次复古球衣拍摄中相识。

6、携手“疯”教练图萨诺夫，拉杜卡努要回纽约

信息差不是一天补上的，是天天看、慢慢攒出来的。

截图来源于界面新闻公众号 同时，除部分授权合作伙伴外，目前由合作伙伴运营并销售耐克产品的线上店铺，将逐步停止销售耐克产品。

7、CAS秘书长：如果孙杨胜诉 可以向WADA索取赔偿

260平方米的店，装修也必须使用指定施工团队，对方报价是一平米700元左右。

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、刘维伟：杨瀚森刚上一队时很单薄，每次训练结束都会留下加练

HRL是一家由波音和通用汽车共同拥有的私营公司。

申凯希在公开信中提到，耐克推出了新的零售概念，例如ACG Basecamp 和 ROOKIE Kids 门店；升级了上海House of innovation旗舰店等现有门店矩阵。

第二个是电池供应商的直服能力缺失。

9、保时捷2027款Taycan亮相：新增虚拟换挡与AI语音系统

球员转出方面，优先级最高的是托莫里。

“老板关心的不是省多少人力成本，而是业务增量与营收增长。

10、豆包2.1 Pro模型发布，Coding与Agent能力跨越“质变点”

随后是欧美杯，以及最重要的——卡塔尔世界杯，那根扎在他心头多年的刺，终于被拔掉了。

此轮A股科技股市值回调，也与全球科技股动向同步。

1、失误比进球都多！拉胯哈登，挨喷吧

从他2025年1月第二次入主白宫以来，对西班牙的抨击从未停歇。

2、斯基拉：尤文4000万欧报价穆阿尼，租借+强制买断

中间是专家层，编剧、导演、设计师、剪辑师等专家Agent各自拥有独立记忆，负责各自专业环节。

3、国际足联赚得盆满钵满！

2013年，大疆推出第一代Phantom。NINGNING 出镜 GUCCI「Beauty and the Bag」广告大片假设十次尝试中，有七次归零，两次获得两倍回报，一次获得二十倍回报。

4、勒布朗·詹姆斯本已准备发布决定，恼火NBA总裁催其做决定，暂缓

这名年仅19岁的巴萨小将，帮助德拉富恩特的球队锁定了一张世界杯决赛门票。

5、封面来了！王祉怡：跨越山海 再向彼岸

后期他还利用漏洞，继续登录苹果内部服务器，下载了数十份机密文件，其中一份汇编就超过1000页。

6、从6000米深海捞上50吨稀土泥，高市又急着吹上了

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。

在二人离职新闻传出后，谷歌的股价盘中一度跌超7%，创下近一年来最大单日跌幅。

特斯拉正在做的，已经不是“多造几款车”，而是试图把汽车、能源、算力、芯片和劳动力装进同一张资产负债表。

7、山东泰山客场负浙江，连胜梦碎，宿茂臻韩鹏心里也没底了

另外，随着容量越来越大，部分场景可能担心I/O性能受到影响，但对超大规模云客户来说这通常不是核心问题，因为他们可以通过更多通道来分摊影响，也会通过软件层面优化进一步提升效率。

而接盘方太洋科技作为国内铍材料龙头，过去八年间完成十余轮融资，背后集结了数十家投资机构，机构退出的诉求已经逐渐浮出水面。

8、签了签了！恭喜湖人！底薪搞定天才10号秀

行业并非整体过剩。

不过葡萄牙破密集防守的能力存疑，如果久攻不下也存在被反击偷一个的可能。

西班牙的战术则更加体系化，德拉富恩特打造的是现代版的tiki-taka，比传统传控更直接、更有压迫性。

在葡萄牙体育和曼联时期，阿莫林就非常强调对方后卫回传、停球第一脚处理不干净或者皮球缓慢横向转移至外线时的快速压迫时机，现在米兰内洛的专项分组对抗，就是在反复演练这些场景。