简历空着的时候，用项目作品去填。

1、乐鱼登录 早在1990年，诺和诺德就启动了GLP-1开发项目。

AI 会继续扩大模型供给，但它不能替拓竹自动解决需求。乐鱼登录第一个月，是门店流水最高的时候，销售额做到过16万元。

2、尾号“999999”手机号1.5万元拍卖，已有4人报名参拍

今年7月，科斯蒂奇会先到米兰未来队报到，正式开始他在红黑军团的生涯。

3、切尔西为何想要拉克罗伊？速度英超前五，一对一防守无人能及

“情绪价值”“被看见”“接住”“托举”，负责评估关系：这段关系有没有满足我的情感需要。

4、尤文国脚报告：布雷默0出场黯然出局，两位斑马小将欧青赛首发

第二个是电池供应商的直服能力缺失。

5、爆冷成功！哈兰德双响内马尔泪别国家队 挪威2比1巴西进8强

七项第一，三项第二。

与此同时，加比亚、萨勒马科尔斯、托莫里和巴尔泰萨吉4名在阿莱格里时代被委以重任的核心，恐怕都将被葡萄牙教头边缘化处理。

”滔搏（6110.HK）的一纸公告，让持续一个多月的市场传闻最终落地。

6、疯狂撒币的沙特主权基金也扛不住了

” “应用难赚钱，用户忠诚度低，哪里有羊毛薅哪里，付费转化有问题，marketing投入也越来越难。

这种费用具备可怕的刚性：即便下季度交付量下滑，你也不可能裁掉核心AI团队或关停超算集群，因为一旦停下，前期的巨额投入立刻沉没。

7、约书亚富里英伦德比签约三月仍无期无地，两人各打热身赛先行

店内空间留白通透，去除繁杂元素，采用独特木质结构，为简约空间注入质感，将机能科技与都市美学相结合。

然而，译制配音环节始终是行业痛点。

8、博兴县农业农村局原局长、乡村振兴局原局长（兼）初闻武严重违法被开除公职

而加纳的算盘会更精细，他们会耐心消耗莫德里奇的体能，等待比赛进入最后30分钟，再利用替补席上的新鲜血液去冲击克罗地亚的防线。

特别是在赛季初段仅有的8次替补出场中，他就疯狂地打入了6球。

就在6月底之前，他还被视为俱乐部获取即时收入的重要资产，但如今这一紧迫性已不复存在。

9、5:4背刺！特朗普法官叛变，30州邮寄投票惊险续命，选举暗战开打

这也能解释官方“产能不足”的说辞为何难以服众。

他的执教风格和战术思路要求极强的适应性，也能看到一些皮奥利的影子。

10、首局均158分次局均136.6分，印度vs津巴布韦T20I揭幕战追分有多难？

To B需求会增长但最终存在上限，API可以支撑公司生存却不一定能带来超额利润。

如果佩德罗拉以100万至150万欧元的价格完成永久转会，按照当初约定的分成条款，巴萨将获得转会费的一半，桑普多利亚拿走另外50%。

1、佛得角门将全场数据：8次扑救！拒梅西单刀+任意球 两过劳塔罗

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。

2、尤文引进布拉欣-迪亚斯困难重重，37岁马蒂奇进入尤文考察名单

今天我们证明了自己懂得如何面对失利。

3、13日凌晨！辛纳3-1逆转兹维列夫夺冠创4项纪录，郭涵煜女双夺冠

一边是高速防反的利矛，一边是传控压迫的坚盾，这场巅峰对决注定火花四溅。严查“缺斤少两”！南京公布一批电子计价秤计量违法典型案例但问题在于，控球无法转化为进球。

4、3场T20I对决，印度急欲止损：Vaibhav Suryavanshi携破纪录之勇抢位

俱乐部向我展示的规划，以及大家为把我带到这里所付出的努力，对我意义重大。

5、国王队“眼镜男孩”全员留队！22胜赛季低谷中，他们看到了未来

葡萄牙的战术体系以4-3-3高位压迫为主，兼顾控球推进与高效反击。

6、加里・内维尔：C罗力压梅西，他是我心中足球史上最全面的球员！

“我们的定位一直是给创作者赋能，我们只做工具，不做内容。

据知名记者法布里齐奥·罗马诺透露，这位西班牙国脚目前对延长合同一事并无兴趣。

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。

7、4次扑救对1次 加夫兰连续两场零封助多伦多客场闷平

不仅两场淘汰赛的对手都有主力球员因伤退场，而且连续两场比赛，都是梅里诺在替补登场后完成绝杀。

当然，走向末路的从来不是女性向情感游戏本身。

8、泰森·富里本周比赛为何电视上看不到？他自己揭开了谜底

如此悬殊的数据对比，足以证明法国队赢得何等轻松，他们对大力神杯的渴望与势在必得，已然跃然纸上。

产业链可以分工，但责任不能分散 算力服务向少数主体集中，并不意味着其他玩家出局。

过去一年，字节、阿里、腾讯等大厂加速投入，DeepSeek继续用性价比和开源路线冲击市场，智谱、MiniMax相继上市，月之暗面一度被推到了一个需要向资本自证价值的尴尬境地。

最后是后防线转身速度偏慢，面对快速反击时容易出现漏洞。