朋友在纸上补了行公式：期望值＝胜率×平均盈利－败率×平均亏损 第一种期望值是：90%×1－10%×20＝－1.1元。

1、乐鱼APP 而此次耐克在中国进行直营化调整，也难免让外界将其与另一家国货巨头安踏进行对比。

利雅得新月是最积极的一个，莱奥的铁哥们特奥就在那里效力，并且沙特球队也可以给出让红鸟满意的价格。乐鱼APP因此凸性投资的使命不仅仅是“赚钱”，还可以改善账户在极端情形下的生存能力。

2、初夏穿出温柔范，离不开一条香芋紫色的裙子，轻松告别路人感

按计划，他将在7月底大赛结束后开始休假。

3、戴手套！“72小时可夺命”，又有人中招了

在他们看来，这个数字对巴黎圣日耳曼来说完全在可承受范围之内。

4、转发给你身边总说“头发要掉光了”的朋友

斯卡洛尼麾下的阿根廷主打4-4-2传控体系，断球后快速推进找梅西完成终结。

5、两部门公布《小型个人信息处理者个人信息保护简化措施规定》_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。

6月29日凌晨3点，2026美加墨世界杯将迎来首场1/16决赛，对阵双方是南非和加拿大。

NBA的成功经验不能简单照搬到足球领域，需要结合足球运动的特点进行本土化改造。

6、梅西对阵凯恩、姆巴佩战亚马尔！足坛巨星开启世界杯四强荣誉之战

门将利瓦科维奇则是著名的大赛型门将，心理素质极其出色，尤其擅长扑救点球。

从竞技角度审视这笔潜在交易，卡雷察斯的数据和技术特点确实对得上阿莫林的体系需求。

7、售价 12.38 万起，小鹏 MONA L03 全球上市，原生全球车型打造智能时尚新标杆

战术核心是中场控制+防守反击+定位球。

必须坚定信心、保持定力，坚持稳中求进工作总基调，扎扎实实办好自己的事，更加注重把握好局部与全局、政策稳定性与灵活性、存量政策与增量政策、公平与效率等四方面关系，在识变应变中把握主动，在攻坚克难中实现新的发展，全力完成年初制定的目标任务，确保资本市场“十五五”良好开局。

8、逃离蓝桥！恩佐点赞皇马转会推文，穆里尼奥却与曼联死磕英冠铁腰

布伦特原油期货9月合约结算价收涨超7%，结算价为100.69美元/桶，为5月以来首次收于100美元之上。

特斯拉方面表示，目前已在两个州六座城市完成超38 万英里无安全员自动驾驶，零重大安全事故。

礼来的故事，与它们有着相同的基因——一种深植于成功者骨血里的"路径依赖"，和对既有认知的偏执迷信。

9、体内有疾，出汗先知？医生提醒：容易出汗的人，排查一下这4种病

这种操作模式让人自然想到另一名旧将马利克·佳夫。

从赛程安排来看，尽管比赛地点设在亚特兰大的梅赛德斯-奔驰体育场这一中立场地，但英格兰被指定为主队，将身着传统白色主场球衣亮相。

10、省卫生健康委派驻医疗专家组 全力保障牡丹江防汛医疗工作

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。

这是全球脑机接口领域仅次于Neuralink的第二大单笔融资。

1、中方抓获美间谍，美国务院急要人！他掌握的技术让中国揪出核弹？

面对沙特方面开出的丰厚合同，这位曾被视为巴萨未来希望的左脚将，最终选择了在职业生涯的巅峰期前往中东“淘金”。

2、健康日历

” 尽管外界对他寄予厚望，但在决赛前夕，埃斯帕特选择将注意力完全集中在比赛本身。

3、泰-劳森回应偷酒被抓：有个白女陷害我，我被种族歧视了

现在去见企业，人家第一句就问‘你们基金能出多少’，我只能尴尬地笑笑，说我们现在拼的是资源与服务。泰山队夏窗引援只出不进，宿茂臻韩鹏只是背锅侠，济南文旅混日子在滔博看来，ektos同时承载着从品牌、渠道到内容输出的多重功能。

4、新年第一瓜，老王的小娇妻留不住了！

头部企业最新进展如下。

5、跟着电影去旅游｜烟台芝罘万达影城《八仙！》主题活动来袭

此外，阿莫林体系中对于传统边锋的依赖度降低，他已经不需要莱奥这种类型的球员。

6、“儿科—儿保—中医”联合门诊开诊！

国内云厂商的DRAM采购有多少从三星和SK海力士转到了长鑫。

萨默维尔本人已点头同意，并获准接受体检。

在输入输出与系统层面，防护需要覆盖智能体执行链，当模型以智能体形态运行时，安全边界必须进一步扩展——输入输出与系统层面的防护需覆盖权限控制、过程监测和任务链风险识别，将安全评估从单次问答延伸至完整执行过程。

7、书写深化科普国际合作新篇章

奥利塞作为法国队前场唯一的进攻枢纽，遭到了西班牙中场的针对性围抢，全场几乎隐身，并且失误不断，这是奥利塞继欧冠决赛之后又一次在高端局中迷失。

对于当下热门的scale-up光学，产业链大咖进行了激烈的意见交换和畅想。

8、拉亚被拉手是犯规！还原英超VAR争议！判罚尺度会影响世界杯吗？

凭借这份统治级的表现，他不仅毫无悬念地当选2025-26赛季利物浦队内最佳球员，其德转身价也水涨船高，正式迈入“1亿欧元先生”的殿堂。

这样做，一方面可以帮助Anthropic加快自身的模型研发；另一方面，如果Coding的效果足够好，就能很快吸引程序员们使用。

巴萨清楚他的解约金为2900万欧元，而霍芬海姆据说愿意在加入与表现挂钩的浮动条款后，适当降低转会费。

两队都已经提前出线，这场比赛的意义在于争夺小组第一。