唯一一次成年队交锋还要追溯到1972年的慕尼黑奥运会，当时哥伦比亚3-1击败加纳。

1、高比体育 追觅未正面回应这一说法，但截图流出后，圈内炸锅。

赛迪顾问预测到2028年我国脑机接口产业规模有望达到61.4亿元，2024年-2028年复合增长率约17.7%；中国信息通讯研究院预测，我国2030年脑机接口市场规模有望达到120亿元。高比体育你等到大三才问"去哪投"，窗口已经关了一半。

2、篮协给说法！国青纯替补评上健将单场20分主力却无缘 皆因王建军？

这意味着，他不仅是终结者，更是阿根廷队当之无愧的最强大脑。

3、马刺雷霆谁能赢下抢七大战？杨毅、苏群、字母哥发表了看法

3月，阶梯医疗宣布完成5亿元战略融资，由阿里巴巴领投，国投创合跟投，腾讯、启明创投、源码资本、上海国投先导等老股东集体加注。

4、53㎡柔光奶茶宅：把日子过成恬淡温柔的模样

我认为他是世界级球员，真心这么觉得。

5、众星祝贺杨紫获白玉兰最佳女主角，杨紫半夜回复，在圈内人缘真好

今年1月米兰就曾试图引进他，球员合同2027年到期，今夏进入合同年后转会费有望控制在3000万欧元以下。

上线以来，趣丸千音帮助超100个影视漫客户解决译制难题，月出海单一语种的短剧数量近万部，出海全球超30个国家和地区，助力客户YouTube频道月收益提升10-30%。

比赛一边倒的程度，再清晰不过。

6、防守的极致典范 2004年总决赛平民活塞为何能掀翻豪华湖人

同时，公司的领导者也在将相当一部分时间和精力花费在公司文化的维护上，让顶尖研究者在长期不确定的技术探索中能保持协作。

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。

7、CBA休赛期速递：下赛季确定实行升降级机制，新疆续约阿不都沙拉木，上海男篮续约弗格，广厦续约布朗受阻

粗略估算引援投入，拉莫斯约7500万、吉拉约3000万、左翼卫约5000万、中场约5000万、前腰约4500万，总计约2.5亿欧元。

2026年7月，北方华创的市值跌了2000多亿。

8、晨光破晓 执在当“夏” 邹平市人民法院开展集中执行行动

目前，宁德时代、比亚迪等十余家下游头部企业，已完成产品样品测试。

过去几年时间，中国创投市场经历了严重的“国资依赖症”。

巴萨最初开出的价码是2000万欧元，被多特一口回绝。

9、70比64险胜晋级！女篮世青赛第一支四强队诞生：澳洲淘汰日本闯进4强

"利物浦中场、阿根廷国脚麦卡利斯特在世界杯半决赛前表示，眼下这支英格兰队的比赛节奏，和他在英超每周遇到的对手并不一样。

格拉斯纳阐述了自己的战术风格，以及如何对米兰现有球员进行使用。

10、撇开欢乐跑，骂马拉松的人只会更多

纽卡斯尔留住了埃迪·豪，这不太好，而且他们同样在被豪门逐个挖走。

宁可去小公司真干两个月，也别挂名混三个月。

1、哈兰德绝杀巴西：效率恶魔，吃人不眨眼

财报显示，特斯拉Q2 营业利润为 3.98 亿美元，同比下降 57%。

2、开沃D31电动自卸迎来升级款，三环6X6越野底盘抢眼！工信部第408批新产品公示之N类重型货车篇（下）

据转会专家罗马诺的独家消息，意甲豪门国际米兰已经率先迈出实质性一步，与热刺进行了初步的试探性接触，以了解球员的转会可能性。

3、快船104-82大胜爵士！榜眼秀空砍23+5+2+2+2，五号秀立大功，加兰强力帮手诞生

锋线上还从萨尔茨堡红牛闪签了奥卡福尔（1550万），此外还有泰拉恰诺（维罗纳，450万）、佩莱格里诺（普拉滕斯，380万）和约维奇（佛罗伦萨，50万）。批评周星驰的6个人：掉粉、评论区沦陷、口碑崩坏，没一个好下场在消费者固有认知中，便利店是“解决正餐、应急购物” 的场所，而非 “购买优质休闲零食” 的首选渠道。

4、网友的日常“办公生活”，能有多邪修？我也是被惊艳了！

在美国，Neuralink靠柔性电极丝深入大脑皮层追求高信号通量；Synchron走血管内路线，电极顺着血管进入大脑以避开开颅手术；Precision Neuroscience采用贴附脑表面的超薄电极阵列；Paradromics主攻高带宽神经信号与语言解码；Blackrock Neurotech依托成熟的犹他电极阵列，沉淀了业内历时最久的人体植入临床研究数据。

5、央广网年度奖项背后的行业信号：多博学做对了什么？

但事实上，除去这些经济成本外，时间与精力的投入才是宠物主最大的开销。

6、总决赛提前定2席：美国女排输球仍晋级！世联赛积分榜形势解析

如果Cybercab的规模化部署晚于预期，如果FSD的监管审批受阻，如果Optimus迟迟无法走出工厂，那么今天投入的每一分钱，都可能成为压垮未来的负债。

业绩集体暴增的关键，是周期的威力再显。

防守端三中卫体系稳固，黄仁范与白昇浩构成双后腰屏障。

7、桑坦德银行CEO：123亿美元收购Webster年内完成，已获欧洲央行批准，只待美联储

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。

只要末轮主场战胜卡利亚里，就能确保拿到一个下赛季的欧冠名额。

8、朱芳雨赌对了！广东旧将内线下家曝光，已拒绝NBA马刺合同！

2019年DRAM价格跌了四成。

他和俱乐部其他人都已明确表示，需要时间来建立体系，确保球员能够适应他的理念将是夏季的重点。

哥伦比亚的阵容同样不容小觑，他们世界排名第14位，全队身价接近3亿欧元。

球员与巴萨的现有合同到2027年夏天到期，这意味着进入今年夏季转会窗后，巴萨在谈判桌上并不握有太多主动权，费兰存在被低价挖走的可能。