播客本身也适合生产这种语言。

摘要：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。

按照以往类似情况的处理惯例，展示涉及领土争议的政治性标语通常会被认定为违规，相关球员或足协可能面临警告、罚款等不同程度的处罚。

1、乐鱼电子按照她的说法，一家人坐在飞机里等了六个小时，前面还排着30架等待起飞的航班。

按信号采集位置，行业大致分为三条技术路线：非侵入式将电极戴在头皮外，安全、成本低，但信号隔着颅骨精度有限；侵入式将电极植入脑组织，信号最清晰，却要面对开颅手术、长期生物相容性与感染风险；还有一条折中路线，把电极放在硬脑膜外、脑表面或血管内，在信号质量与手术风险之间寻找平衡。乐鱼电子他双脚均衡，能踢左右两边，正好匹配阿莫林要的右脚在左路内收的战术要求。

2、张玉宁打破67天球荒！进球助攻被吹后推射得手，林良铭带伤助攻

这一点在对阵尤文的比赛中展现得淋漓尽致，米兰近2个转会窗签下的新援在替补席上整齐就座，亚沙里、埃斯图皮尼安、里奇、德温特、奥多古、恩昆库、菲尔克鲁格、阿特卡梅的签约成本超过1.5亿欧元，这还没算3000万欧元引进的希门尼斯。

3、8000万镑接近成交！阿森纳补上最大短板，中场绞杀时代来了

据中科宇航介绍，力箭一号运载火箭聚焦微小卫星发射市场，匹配批量组网、快速补网等任务，提供吨级班车化发射服务，构建专车、拼车、顺风车发射服务体系。

4、荣盛石化与沙特基础工业公司签署《项目开发协议》，拟就中国先进新材料项目开展战略投资

尽管阿囧几乎用了一整个赛季去调教莱奥踢中锋，但他还是很难适应这一新角色。

5、高质量发展进行时丨布尔津抽水蓄能电站上水库进出水口开挖正式启动

但西甲冠军最终决定不激活合同中2600万英镑的买断条款，球员只能返回曼联。

但考虑到米兰锋无力的现状，阿莱格里很有可能会对他进行重点考察，将在季前赛安排其亮相。

宏和科技的实控人为王文洋及其女儿Grace Tsu Han Wong，截至今年7月，二人通过远益国际、INTEGRITY LINK、FUSECREST、SHARP TONE、UNICORN ACE，控制公司80.37%的股份。

6、十天寻根研学，多国华裔青少年走进诗意镇江

这个进球，无关比分，却赢得了人心。

土耳其劲旅加拉塔萨雷日前追逐布雷默无果后，将报价提升至税后年薪800万欧元，比巴西人当前在尤文的收入高出约200万欧元，这已经足以打动布雷默做出离队决定。

7、足协杯爆大冷！辽宁铁人遭中乙球队淘汰，上港、青岛西海岸晋级

其研发投入比长期保持在18-27%的大比例，到2025年，它的产品线，已经是一个半导体制造的大矩阵。

从纸面实力来看，两队差距悬殊。

8、美国电动车增长最快州竟非加州这里五年注册量暴涨994%

这样深厚的师生信任构成了团队的底层纽带。

参与项目的员工称，按每瓦可生成的token数计算，其能效可能达到谷歌最新TPU的6到10倍。

根据红鸟资本设定的财政平衡策略，管理层必须在同期通过出售球员回笼等量资金。

9、27路公交首发！邵阳市区⇋新邵县城！

归结到一个逻辑：特斯拉正在用汽车业务的利润，供养未来业务的投入。

但历史总会记住那些脉络。

10、安吉尔·里斯赛前写真引热议，队友开喷后圈内外名人集体围观

《每日邮报》还指出：“切尔西的兴趣浮出水面之前一个月，俱乐部消息人士曾试图否认圈内关于他们关注斯通斯的传闻。

在AI语音领域，趣丸科技联合港中文（深圳）开源了语音大模型MaskGCT。

1、谁将执掌英国财政部？伯纳姆面临艰难抉择，工党团结岌岌可危

同时，老板本人也制定了极其紧凑的日程，他亲赴德国与格拉斯纳进行了会面，值得一提的是，这次对话并没有带伊布参加。

2、普拉博沃要抄印度作业？印尼媒体怒批：外资天坑，好的不学偏学坏

然而，在失去萨拉赫之后，主帅安多尼·伊劳拉正集中精力再引进一名边锋，而巴尔科拉正是俱乐部的首要目标。

3、真是怕啥来啥！日本不帮，德国补刀：韩国队离世界杯出局更近了

更深层次的争议，在于C罗近年来在公众面前展现出的心理状态。记者称美伊战事没有停止迹象，中东地区多处美军基地损失扩大，特朗普怒怼：“难道你比我了解情况？”“伊朗极度渴望会面以结束战争”他最初在萨尔茨堡担任施密特的助理教练，随后回到老东家里德出任主教练。

4、王钰栋再次爆发进球！未来球迷希望他留洋，值得期待

过去几年，AI行业信奉一个朴素的逻辑：算力不够，就堆更多的GPU、更贵的GPU。

5、9小时直播

随着这一说法在业内传开，地平线机器人创始人余凯在微博发文，内容似乎暗含对该头衔的调侃。

6、吴尊都敢晾三天！国泰航空还活在殖民梦里，香港旧势力该被淘汰！

双方伤停情况：均无。

但很少有投资者记得，仅仅十年前，这家龙头公司还深陷专利悬崖的泥潭，陷入“失去的十年”。

这让热刺变得完全无法预测。

7、中超第7轮裁判选派：麦麦提江执哨辽宁德比，金哨李海新在列

在引进希拉后，英格兰中卫已经不在阿莫林的计划之中，目前正受到沙特联、意甲、英超等多家俱乐部的关注。

资本开支 57.89 亿美元，是去年同期的 2.4 倍。

8、世界杯颁奖名场面：阿根廷后卫独晾特朗普与两边政要握手热络

首战7-1大胜展现了恐怖的进攻火力，多点开花的进攻体系令对手防不胜防。

时至今日，他仍是阿森纳和巴黎圣日耳曼高度关注的球员。

Fluence与美国两大云厂商签订12GW潜在储能项目储备。

弗里克还希望挖掘两人的无球跑动能力，这可以在不削弱球队创造力的前提下"解放"——而非替代——亚马尔，让他把更多精力投入到组织进攻中。

津巴布韦临阵折将：舒姆巴腿筋受伤无缘印度T20I系列赛，Kaia替补入选中央5台直播世界杯时间表：明天7月20日凌晨3点，西班牙PK阿根廷王云蕗痛批解说恶意带节奏，呼吁球迷理性观赛红翼新总经理接手的是怎样的球队？后防年轻化已成型，中锋线却存变数

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2026 NFL腰旗橄榄球锦标赛周末开战，ABC、ESPN等平台直播

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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。

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