但放在整个竞争格局里看，它的位置其实有些微妙。

1、米6体育 纵观全场，这不仅是一场比分的胜利，更是战术层面的绝对碾压。

马内在声明中明确表示，他无意远离这项带给他无数荣耀的运动。米6体育现代足球得中场者得天下，而本场比赛，法国队的中场在西班牙由罗德里、法比安和奥尔莫构建的传控体系面前，显得支离破碎。

2、几亿美金砸出来的硅谷大模型，被一台相机干翻了！

局面变成1比1后，阿根廷人攻势不减，仅仅过了六分多钟，劳塔罗·马丁内斯便打入反超一球，完成绝杀。

3、别傻傻搜索小程序！5个隐藏秒开入口，90%的人只用对1个

随着终场哨响，阿根廷人疯狂庆祝，而英格兰球员则瘫倒在地。

4、“孩子都脑缺氧了，你还嫌他写得慢！”全碳水早餐，让家长被群嘲_网易订阅

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。

5、望岳在现场，国安主帅透露三大主力伤情，谈年轻球员使用标准

两到三年的验证周期。

从战术风格来看，两队都擅长防守反击，但具体打法又不尽相同。

去年末，华为与珞博智能联合开发的首款AI宠物“智能憨憨”，定位“心灵树洞”型情感陪伴产品，开售即秒罄。

6、《龙之剑：觉醒》正式发售 国区价格全球最低

4月，极佳视界联合一汽模具、阿里云，把Maker H01通用机器人放进了真实的汽车制造产线，完成了拆垛、搬运、精准操作全流程验证。

从追赛事、刷热点，到与朋友相聚看球、分享欢呼时刻，消费者正以更多元的方式参与世界杯。

7、三支东道主全出线，天时地利人和之外，还做对了啥？

英阿大战，必出精品！因为在这里，没有绝对的强弱，只有极致的血性；在这里，胜负早已超越了四强名额，更是六十年绿茵宿命的终极了结。

葡萄牙队的折戟止步16强，本质上是战术体系与球星功能之间的结构性内耗。

8、一次重试、双倍增加：数千笔交易如何让金融后台出现“钱多钱少”的漏洞？

展会总面积 6 万平方米，452 家国内外企业与机构参展，覆盖 eVTOL 整机、无人机、能源动力、航电系统、先进材料、低空安防、金融服务、产业园区等产业链环节。

这50天里，基层招商干部们经历了前所未有的“戒断反应”。

本赛季莫德里奇以自由身加盟米兰，由于在安切洛蒂麾下的最后两个赛季时，克罗地亚人更多扮演轮换角色，目的是做好体能管理增加“续航”，所以人们认为他来到米兰也会成为一名很重要的替补，哪曾想从赛季第一轮开始，魔笛就是这支米兰的绝对核心。

9、严查！绍兴又有多人被罚！

瑞银同样谨慎。

轻资产平台看起来避开了这个问题：租赁、撮合，不压设备。

10、《地平线：零之曙光 重制版》新增PS5省电模式支持

移动语音到AI创造，趣丸十二年“兴趣进化论” 趣丸科技的前半程是典型的移动互联网成功学。

真正反转需要三个条件：AI泡沫担忧重现、降息预期重启、美元信用担忧升温，目前均未显现。

1、外贸逻辑变了！汕头成为Token出海第一城

在量产节奏方面，特斯拉Optimus 第三代目标年产100 万台，第四代年产 1000 万台——但量产爬坡遵循 S 型曲线，前期十分平缓漫长。

2、不足两年，两类热门基金预警清盘！差异化探索何时见效？

对于阿根廷队而言，这场胜利虽然磕磕绊绊，但涉险过关才是淘汰赛的常态。

3、一架飞上海的空客A380备降杭州，373名乘客被困机舱超10小时！“有人在机舱里晕倒，救护车来了两趟”

安东尼·戈登在下半场初段为英格兰取得领先，第55分钟他将摩根·罗杰斯的传中球送入网窝。中方拒绝巴基斯坦请求，亲兄弟都要明算账，不能指望中国兜底买单如果Kimi K3足够强，就可以将发布时的热度，变成阶段性的持续调用、订阅和组织采购。

4、今年，兰州马拉松成为国内顶流

LABUBU亮相世界杯开幕式，本质上就是给美国市场的一次重磅营销，是它打开美国市场认知度的最佳切口。

5、库尔勒至乌鲁木齐天山巴士增加班次，特价票低至56元

格拉斯纳是朗尼克战术体系的忠实拥趸，他非常强调高位压迫、战术组织和垂直进攻。

6、听我一句：不管冰箱多大，都别放这5样东西，真的会“爆炸”！

从无预警空降新可攻略男主敖尹引发玩家集体抵制，到直播剧情台词“引狼入室”被批美化越界行为、违背女性安全共识，再到文本细节疏漏触碰历史底线、后续被央视点名内容尺度与未成年充值乱象，一连串密集翻车，让这款头部乙游彻底陷入舆论困局。

当英格兰队在世界杯的赛场上奋力拼杀时，中场核心德克兰·赖斯正承受着常人难以想象的痛苦。

东方甄选发布公告：进一步聚焦产品和品控，2026财年营收和利润增速加快 7月23日，东方甄选发布公告，预期在2026财年（注：2025年6月1日至2026年5月31日），总营收及溢利均实现大幅增长。

7、GPT-5.6一小时解开50年数学猜想，700词Prompt驾驭64个子Agent

引爆点来自上海出台的直接融资“20条”，其中明确提出要推进可控核聚变、具身智能、大模型、量子计算、脑机接口等未来产业企业在科创板上市，并持续扩大第五套上市标准的适用范围。

梅西是“家有一老如有一宝”；而C罗是“老而不退拖累队友”。

8、退出广东队？CBA最大黑马有望挖走辽宁克星，曾打爆赵继伟！

而且，利物浦的成功不仅仅是因为模式好，还因为他们在正确的时间遇到了正确的人——克洛普的七年执教是利物浦复兴的关键。

会后，A股科技股整体企稳。

站在米兰的角度，努涅斯确实是个不错的目标。

但这个表态，恰恰是问题所在。