过去要求一个人成功、自律、能吃苦；现在则要求他有主体性、懂边界、会爱自己、足够自洽，最好还松弛、高能量、有生命力。

1、九游体育 而现在投入的是算法工程师的薪酬、超算中心的算力租赁和芯片堆叠，绝大部分直接费用化吃掉当期利润，却拿不出一张投产时间表。

虽是玩笑话，但也点出了那一代企业家和足球的深度绑定。九游体育不算已经投入的70多万元，他每天只要把门打开，账面上就先亏近500元。

2、美军连续第12晚袭击伊朗，伊朗强硬回应：以牙还牙，若伊朗桥梁和发电站遭攻击，将不允许本地区出口一滴石油，美国盟友的电力供应必将断绝

这是对AI商业化本质的回应：技术只有穿透底层算法、中间层交互与终端物理载体，才能真正融入每一个普通人的生活，才能形成可持续的商业模式。

3、暂不接受湖人邀请，真正阻挡库明加拿大合同的，是脑子不是球技

阿浩找到公司交涉，才把这笔钱减了下来。

4、邵阳市与彩虹集团有限公司举行工作会谈

因此，这位1983年出生的创始人，无视了移动互联网的红利，很早就将AI看作推进科学和知识生产的基础设施。

5、国务院成立广西南宁横州市六蓝水库“7·6”溃坝灾害调查评估组

但本质上，国资出资有一种矛盾。

据多方消息，阿森纳正计划在赛事结束后，加速推进针对摩根·罗杰斯阿尔瓦雷斯的引援行动。

莫塔是一位年轻教练，拥有多段意甲执教经历，并展现出善于挖掘年轻球员的能力，尤其是对低预算转会窗的应变能力让红鸟十分欣赏。

6、杨瀚森夏联表现同届什么水平？对比同位置球员，小杨远超大家预期

在这场半决赛中，西班牙队用极致的传控和密不透风的防守以及精准传控，完美拆解了法国队的防反体系。

两队世界排名仅相差2位，整体实力极为接近，一边是群星云集的传统豪门巴西，一边是创下足坛不败神迹的铁血黑马摩洛哥，堪称小组赛首轮最具看点的巅峰较量！ 一、两队实力定位：排名胶着，无绝对弱者 目前FIFA世界排名中，巴西位列第6位，摩洛哥位列第8位，区区2名的排名差距，足以说明两队的硬实力处于同一梯队，这也是本场比赛最大的看点之一。

7、阿森纳确认萨利巴将长期缺阵引援目标曝光：斯通斯与孔萨，会押注谁？

毛利率方面，分化也非常明显。

国务院研究室2026年3月的数据显示，行业需供比已经达到5.2比1。

8、足协杯争议判罚！国安点球被取消，张玉宁跳水逃黄，媒体人热议

更致命的是体能问题，莫德里奇首轮不到60分钟便被换下，次轮面对弱旅也踢得磕磕绊绊。

马德里竞技是主要竞争对手，西蒙尼对尤尔曼十分欣赏。

” 杜知恒已经明确感知到：客户的需求已经从需要大模型本身变成需要 Harness 的套件，需要一套完整可交付结果的产线。

9、苏亚雷斯重返工体，武汉三镇欲抢分开启逆袭

勒沃库森已于今年3月激活回购条款，合约签至2030年。

巴萨正在巴塞罗那城完成卡里姆·阿德耶米的转会。

10、Skip Bayless：克拉克有望冲击MVP，但敲木头——健康是唯一隐患

然后又一个决赛降临了。

加纳与英格兰、克罗地亚、巴拿马同组，这是一个名副其实的死亡之组。

1、啃阵地还是跑起来，我们眼中的二选一难题，现代篮球早已给出答案

乌拉圭则没有退路，取胜才能确保出线；打平的话，需要佛得角也战平沙特，才能凭借进球数优势竞争小组第二，或争取成绩较好的小组第三；一旦输球直接出局。

2、内马尔二选一：亚马尔让我看到年轻的自己，但梅西永远是历史第一！

2023年，73岁的他甚至把董事长也交给了刘圣，而不是自己的儿子王晓东。

3、世界杯比赛要开始了，还有18万张票没人买

今年夏天，对于争四失败的米兰来说注定会是混乱的一个转会窗。革命队进攻乏术即将补强：曝接近签下利兹联边锋哈里森挪威典型的北欧球队，但他们有着矮个子边锋攻击群，因此进攻也有传控和脚下，甚至是具备的小快灵搭档高人哈兰德。

4、即刻预登记！2026 Yarn Expo秋冬纱线展观众预登记开启，8月上海见

这一系列结果让比利时国内舆论出现明显分歧。

5、放弃斯通斯孔萨！阿森纳 5500 万锁定完美中卫，实力碾压两大目标

此外还有刚刚完成续约的迈尼昂，也有被切尔西挖角的风险。

6、2026美加墨世界杯：英格兰VS阿根廷，首发名单出炉！

本届赛事中表现抢眼的两支球队成为排名上升幅度最大的队伍。

相当长时间内，中国是没多少自主设备制造能力的。

从奥运冠军到时尚品牌全球代言人，樊振东完成了从体育领域到潮流文化的跨界突破，也让“洞洞鞋”这一曾经的“小众单品”借助顶级体育IP的影响力，真正走进大众视野。

7、经纬智能携手西北工业大学，为国产纺机数智化打造“最强外脑”

一张充满“反差感”的成绩单 特斯拉的这份季报，充满矛盾。

今年夏窗，管理层有可能会考虑套现莱奥，但价格不会太高。

8、新旧球王彻底交接！梅西含泪认输，亲口钦点巴萨天才接班

AIDC储能打开的不只是一个新市场，而是一个全新的需求逻辑。

直接参与26球，每73分钟一次。

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。

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。