过去两年，国产旗舰均已落地本土化端侧大模型，国行iPhone的智能交互能力长期存在短板。

1、OB平台 这些活儿要求运营者能深入系统底层。

如果朋友的软件公司需要为每个客户进行大量定制，收入增长同时必须同步增加更多员工，利润就不会出现预想中的跳跃；如果客户续约率还下降了、应收账款不断上升，或者公司持续融资，增长带来的价值就可能被坏账和股权稀释覆盖掉。OB平台正赛阶段的补偿标准同样发生变化。

2、盘点7个“装修踩坑案例”，都是过来人踩过的“坑”，全是血泪史！

阿根廷的隐患同样不容忽视。

3、1952年，陶铸指责叶剑英在广东搞地方主义，毛主席：此事他没责任_网易订阅

据《每日邮报》记者Ian Ladyman的最新报道，赖斯在本届世界杯期间，一直在近乎难以忍受的不适下坚持比赛。

4、世界田联拒绝解除对俄罗斯运动员的禁赛，俄方谴责

马斯克把特斯拉定位为AI公司，但AI公司的特点正是现金流像无底洞，没有可以折旧的硬资产，只有不断膨胀的研发账单。

5、搭载华为乾崑ADS 5 泰钽700预售29.98万元起

这笔交易不仅标志着吉达国民成功找到了马赫雷斯的替代者，更在足球界激起千层浪：正值当打之年的欧洲主流国脚，正将沙特联赛视为职业生涯的新蓝海。

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。

球队前场高位反抢能力突出，攻防转换节奏快，防线阵型保持度高、容错率强，唯一的短板是缺少重型支点中锋，面对极致密集防守时偶尔会出现攻坚效率波动。

6、新赛季乒超联赛迎扩军，赛制效仿混团

距离卡迪纳莱决定解雇整个米兰管理层已经过去三周时间，这段时间里红黑军团的选帅和管理层组建工作牵动着所有球迷的心。

展望下周在新泽西大都会人寿球场的决赛，梅西将面对一个再熟悉不过的对手——西班牙。

7、2026世界杯四分之一决赛四位最佳球员全部出自西甲联赛

美联储加不加息？7月29日议息会议是关键节点。

“最快6个月”仍是知情人士给出的预期，而非公司正式发布的上市计划。

8、提升分红回报、增持公司股份，多家银行发声稳市场！

2022年底，临夏市政府接管了临夏瑞光3#热源厂，导致临夏瑞光无收入来源，甘肃瑞光陷入经营困境。

法国方面，德尚的4-2-3-1体系已经相当成熟。

关键对位三：定位球攻防。

9、McMenamin：金州勇士仍在詹姆斯潜在下家之列

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

5月底，AC米兰官方宣告首席执行官富拉尼、体育总监塔雷、主教练阿莱格里和技术总监蒙卡达卸任。

10、5年2.52亿！文班亚马亲解为何主动降薪5000万：不想钱毁了马刺

然而，这场比赛的门票热度远超其他场次，其背后承载的早已超越了单纯的体育竞技，而是两国跨越近两个世纪的历史纠葛、政治对立与民族情绪在绿茵场上的集中爆发。

”他认为，OpenAI、Anthropic 等头部基础模型公司正在向更广泛的知识工作和企业服务场景延伸，过去企业用于招聘白领员工的一部分预算，未来可能会转化为 AI 算力、模型调用和软件服务支出。

1、郑钦文递补入围WTA250雅典正赛

对于专业乐手，它是灵感催化剂；对于零基础爱好者，它是通往音乐世界的第一把钥匙。

2、郭艾伦重伤，前交叉韧带断了！CBA篮球生涯还会继续么？_网易订阅

这些五星和四星球队已经星光黯淡，已经严重褪色。

3、香港特区行政长官李家超祝贺香港载荷专家参与神舟二十三号任务_网易订阅

此前，我们曾发布《县长的基金梦，醒了》一文，其中提及，54号文对区县级国资设立基金进行了严格限制，区县资金枯竭已成定局。广厦队超市开张，广东队可能得到朱俊龙；CBA状元加盟香港金牛队不过深挖数据可以发现，恩昆库的作用似乎被低估了。

4、国展

图赫尔执教的英格兰同样以4-2-3-1为基础阵型，战术核心是高位逼抢和阵地传控。

5、跑圈防晒天花板！雪肌精xKeep联名挑战邀你“膜”力开跑

ETF层面同样出现微妙变化。

6、全网都在帮量贩零食算账

这种策略的真实结构，就是用频繁的小额盈利交换一次潜在的巨大亏损。

6月又传出更大的消息：与上市公司隆盛科技签下合作，计划三年内实现1000台本体代工和销售的目标，这被称为"全球首个物理AGI千台级规模化落地"。

上下文的共享是实现对齐的重要方式。

7、“香”味儿有点淡！但我更喜欢了

特斯拉距离一家汽车公司的角色，越来越远了。

我们输了比赛，也接受它，但这不意味着日子就不过了，也不意味着我们会忘掉为了走到这里所做的一切。

8、“全球金融海啸倒计时……”

彼时正值卡塔尔世界杯前夕，梅西在旧金山成立了一家投资公司Play Time，slogan写着“在体育与科技的交汇处”。

业绩表现不及预期，投资者选择用脚投票。

我们找不到破解办法。

小组头名在淘汰赛首轮的对手会相对弱一些，所以两队应该都会争取胜利。