这种收益与损失不对称的结构，就是凸性。

1、星空综合 那个在小组赛对着自己喃喃自语、祈祷进球被算的球员。

7月16日晚，月之暗面在WAIC大会前夕悄然上线 Kimi K3，几小时后才通过公众号正式公告。星空综合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。

2、红雀强打沃克10场连续安打 周一客场挑战天使

" 尽管外界对库巴西本届世界杯的表现赞誉有加，这位年轻后卫坚称自己只专注于进步，而不是享受日益增长的关注。

3、郭学益，被“双开”

预测阿根廷常规时间2-1战胜埃及，次选3-1。

4、解放战争三大阻击战：塔山阻击战！6天6夜打出4个英雄团_网易订阅

此外，泰山队中场屏障的缺失让球队陷入绝境。

5、津门虎以逸待劳，踢残阵海牛6分战，哈达斯+基莱斯状态火热，赢1场摆脱降级区

英格兰的团队整体足球与阿根廷的巨星带动式足球，将在亚特兰大的夜空下分出高下。

而当跳楼机升至顶点，你不仅能看到整个乐园的景观，也能俯瞰整个北京东三环的天际线。

即便锂价持续下行，天齐锂业也会是行业内最后陷入亏损的企业。

6、外媒称美国针对中国征收12.5%关税，中方回应

年轻中卫彭啸在对抗与预判上严重不足，上半场的两个丢球均与其失位、漏人直接相关，下半场更是被外援单点生吃，最终在第59分钟被老将郑铮换下止损。

今天，北方华创已经坐稳中国半导体设备第一的位置。

7、中方代表团有力驳斥日方攻击抹黑：块头大并不必然就是威胁，块头小并不必然就不危险

先是Kimi K3引发的硅谷恐慌、Anthropic CEO在美国国会AI安全听证会公开表示「K3蒸馏了其模型」再到外媒开始集中报道Kimi创始人杨植麟曾「拒绝苹果谷歌邀约、坚持回国创业」的故事...... 外媒《商业内幕》这样形容，Kimi K3模型发布后，谷歌和英伟达等美国大型科技股遭到抛售，这让人想起去年中国人工智能初创公司DeepSeek引发的市场震荡。

拓竹第一代产品众筹时沿用了典型的工程师打法，公司 150 多人的团队里约 120 人是工程师，团队在 22 个月隐身开发中造了 700 多台测试机，消耗 3 吨材料。

8、42k英里2004款克莱斯勒Crossfire限量版双门轿跑：V6动力，如今无底价上拍

多数核心老玩家的不满，最先源于被辜负的情感落差。

图：替尔泊肽销售一览 从2022年获批上市到问鼎“药王”，替尔泊肽仅用了不到四年。

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。

9、津巴布韦主场迎战印度新阵容，首场T20I今日哈拉雷打响

近年来，中国制造业加速产业升级，从“野蛮生长”到“规范发展”。

HRL是一家由波音和通用汽车共同拥有的私营公司。

10、六届世界杯最好数据却拿亚军：梅西39岁封神一战为何成最大遗憾

杨元庆、李彦宏、陈立武、方洪波几个人站西班牙队，程维、李东生力挺阿根廷。

企业客户购买的是持续可用的能力，而不是一时的榜单领先。

1、50次药检全过的UFC冠军开火：我真信有人能骗过药检

曼联原本在世界杯期间就已经谈妥了巴西人的转会，但在最后的体检环节却出了问题，埃德森被无情退货。

2、领先换下王钰栋，阿洛伊西兄弟一个套路，浙江还能忍，李镇全与米特里策和解

C罗的“价值千金”，是他对自己漫长国家队生涯的肯定与和解；而球迷的“尴尬与同情”，则是对竞技体育残酷现实的清醒认知。

3、1996款克尔维特Grand Sport：810辆限量、57k英里，改装排气悬架

葡萄牙教头更倾向于在3-5-2体系下为其设定固定的中前卫或边翼卫角色。美军战机直扑中东！飞机添油战术酿成大祸，大批美机恐有来无回历史告诉我们，从英超中游球队提拔好教练到豪门很少成功，但伊劳拉看起来是最有可能打破这个魔咒的人。

4、德国6月电动车卖出84057辆 首超所有动力 混动仅差不足千辆

当米兰发起进攻时，队友阿泰卡梅的鞋子在对抗中被埃德森踩掉，主裁判却吹了米兰进攻犯规，萨勒马克尔斯从旁目睹这一切，他愤怒地捡起队友鞋子重重摔在地上，嘴里还骂骂咧咧，主裁判没有丝毫犹豫掏出黄牌。

5、莫利纽克斯三杀助南方勇士逆转 百人赛8分险胜威尔士火焰

开店时，他加入过一个同期加盟商交流群。

6、三人进球破纪录却颗粒无收 谁来拿2026金球奖？

在马岛战争结束仅四年后，马拉多纳用极具争议的“上帝之手”和连过五人的“世纪进球”淘汰了英格兰。

法国、西班牙、英格兰、阿根廷——这四支球队恰好包揽了赛前国际足联（FIFA）世界排名的前四位。

对此，特斯拉CFO Vaibhav Taneja 在电话会上解释，一季度有 2.3 亿美元一次性利好（质保冲减、关税减免），二季度没有同类收益；若剔除一次性因素，汽车毛利率基本持平。

7、阿根廷创世界杯决赛90分钟零射门耻辱纪录 梅西加时才完成全队首次攻门

他的无球跑动与纵深牵制，为队友创造了大量空间，也预示着法国队未来数年的竞争力延续。

他们压缩了中路的空间，不让他轻松与队友连线，迫使他远离那些通常用来掌控比赛的区域。

8、佛得角三连平出线：最“小”的黑马，无限大的奇迹

CARIAD是德国大众汽车集团旗下的软件公司。

球队平均年龄29.2岁，正处于新老交替的关键阶段。

这是一个极为稀缺的“复合型资本结构”：国家队耐心资本、金融国家队、影视产业国家队、头部产业资本、顶级市场化VC。

不过也有球迷认为，米兰正在走上一条黑店之路，通过技术总监的买人眼光低价淘进年轻球员，再让阿莫林这种重用年轻球员的教练进行培养调教，打出身价后转手套现。