周远后来把退出条件归纳为四种。

1、leyuapp 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。

在这场万众瞩目的强强对话中，西班牙队凭借亚马尔造点、奥亚萨瓦尔的点球和奥尔莫送直塞、波罗的单刀破门，以2-0力克夺冠大热门法国队。leyuapp我们深知这场比赛的艰难与复杂，即便在场上多一人作战时，局面依然胶着。

2、长城H10实车亮相！方正硬朗外观+六座布局，配插混四驱+800V快充

在几乎赢遍了足坛所有荣誉之后，他选择加盟迈阿密国际，说明他与我们一样怀有雄心，一样追求最高标准，并致力于为未来持续建设。

3、金价、油价，大反转！

这段漫长的沉寂，让富勒姆在行使2400万欧元买断权时变得犹豫不决。

4、香坊 精准服务新就业群体 激活社区共治新力量

一年前，正是阿莱格里力主以约700万欧元的价格把他带到米兰。

5、四部门印发《综合运输服务发展“十五五”规划》

面对日益突出的"内存墙"，行业并非没有应对方案。

卡雷查斯惯用左脚，身高171公分，过人频率与关键传球均位列比甲同位置前列，亨克对球员的标价在3000万欧元以上。

不过摩洛哥的阵地战创造力一般，面对密集防守办法不多。

6、老鹰队交易谈判陷入停滞，湖人队对库明加的追求处于何种境地？

新易盛2025年归母净利润增速超过235%，势头凶猛；天孚通信凭借垂直整合模式在毛利率上同样表现亮眼。

2024年2月，格拉斯纳成为水晶宫的新任主帅，并在短短几个月内改造了球队。

7、近8.8万名球迷观战！梅西伤愈复出即破门，剑指2026世界杯卫冕

回看2025年年底，创始人杨植麟在全员信中才写下：“我们短期不着急上市，也不以上市为目的”。

阶跃星辰：模型公司亲自下场造手机 阶跃星辰的选择更为激进，它没有将智能助手嵌入操作系统，而是在安卓底层之上增设专属运行层，从零重构底层框架，打造原生适配智能体运行的Step AOS。

8、天命之子！贝林厄姆2球攻陷阿兹特克 英格兰在诅咒之地洗刷耻辱

最后一个备选目标是扎尼奥洛，这个意甲老熟人职业生涯效力过国米、罗马、加拉塔萨雷、阿斯顿维拉、亚特兰大、佛罗伦萨、乌迪内斯等多支球队，由此也可以看出他的状态起伏很大。

哈兰德同期同样上涨2000万，两人继续在金字塔顶并驾齐驱。

在本届世界杯大部分时间里，贝林厄姆都是英格兰队最可靠的依仗。

9、中甲：后卫滑倒送礼，西北狼陕西联合主场首败！南京城市暂升第4_网易订阅

此外，云业务还包含了算力芯片TPU硬件销售，也是AI受益的最直接体现。

全国一体化算力网相关文件已明确提出，要发展专业化算网运营主体，完善资源调度、需求撮合、计量、计费、交易及结算体系。

10、爱将，热火队帕特·莱利将字母哥与“魔术师”约翰逊相提并论

高盛认为央行购金将支撑金价触及4900美元。

拓竹把模型、切片、参数、打印机和耗材接在一起。

1、护眼还是交智商税？防蓝光镜片选配，看完这篇再决定

至此，两人11次交手战绩定格为9胜2负，淘汰赛6战全胜。

2、白背心能显瘦？关键在领口和肩带

面对西班牙密不透风的传控网，法国球员在场上显得急躁而无奈，心态的失衡成为了他们溃败的催化剂。

3、伊姐周六热推：电视剧《年少有为》；电视剧《有罪之身》......

趣丸既做AI音乐，也做AI语音；既推出AI硬件，又有累计注册用户超2亿的兴趣社交平台。梅西C罗上演最后一舞！这一回，我们真的将见证世界杯诸神黄昏！尤文图斯典型的例子包括库普梅纳斯和道格拉斯·路易斯，两人花费近1.1亿欧元，还有尼科·冈萨雷斯、劳埃德·凯利以及奥蓬达，后者本赛季34场比赛只打入2球，租借费略超300万欧元，强制买断费4000万欧元。

4、和朋友闲聊时，他特别笃定地说：今年世界杯冠军一定是葡萄牙队！

与此同时，车型结构也在向低价集中——48.01 万辆的交付量中，Model 3 和 Model Y 占到 46.78 万辆，比例超过 97%。

5、中俄特色种植养殖产业高质量发展沙龙举行

GP们果断转向冲向省级大母基金、中央企业或者链主企业。

6、红海滩体育场整装待发迎接“盘超”

因此，伊布开始转移目标，他关注到合同即将到期的水晶宫主帅格拉斯纳。

当英格兰队企图用功利的大巴战术窃取胜利时，是梅西在右路化身为无情的破局者。

此消息一出，作为耐克在中国内地最大的经销商，滔搏股价应声下跌超20%。

7、王虹、邓煜获菲尔兹奖！中国数学实现历史性突破

去年夏窗，努涅斯以5300万欧元的高价从利物浦转会利雅得新月，沙特球队为其开出了每周40万英镑的天价薪水，这种级别的报价很少有球员能拒绝。

四年前卡塔尔世界杯半决赛，法国曾2比0淘汰摩洛哥。

8、最后8天｜山东档案职称备考，把握好每日复习节奏是关键

法国队目前的尴尬处境，像极了当年被巴萨“溜猴”的皇家马德里。

他呼吁球迷和媒体不要仅以进球数据作为评判标准，而应看到这名19岁边锋在战术体系中不可或缺的全能价值。

西班牙的控球则凌厉得多。

当前，他已经提出了留任的三个基本要求：一是在转会市场上从球员个人素质和领导力方面补强阵容；二是考虑到欧战任务，每个位置都要增加一名人员，扩大阵容规模；三是管理层能像塔雷那样支持他，而不是像伊布那样反对他。