除了特林康，葡萄牙体育的另一位核心“波特”（佩德罗·贡萨尔维斯）也收到了沙特球队的报价，且球员本人认为此时转会是正确的选择。

1、ob体育 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。

塞梅尼奥本赛季在曼城的表现有目共睹，他的瞬间起速能力，正是克罗地亚高位防线最为忌惮的克星。ob体育这没什么好纠结的，不用多说。

2、姆巴佩10球冲金靴！西班牙夺冠后，世界杯个人奖项全揭晓

坚决维护资本市场金融基础设施安全稳定，着力防范化解融资平台、房地产相关债券违约风险。

3、Dreyer & Reinbold获印地赛车特许经营权 宣布2027年重返完整赛季

这对双方都是不可承受的。

4、中国小篮球系列活动武汉盛帆赛区热血收官，少年们的篮球梦正启航！

当时，刚刚犯规的帕雷德斯情绪已经十分激动，队友德保罗也处于爆发边缘。

5、可靠消息称詹姆斯早定去向，只因不满联盟施压才暂缓官宣

一整晚，姆巴佩没让西蒙做出一次扑救。

（来源：中原期货研报） 上海钢联数据显示，2026年上半年，国内碳酸锂现货价格呈宽幅波动走势，整体运行区间为11.7-21万元/吨，5月中旬短暂冲破20万元/吨，之后快速回落至6月末的15万元/吨附近。

这一次，他们要的不只是流量，而是真正的竞争力。

6、印度队长伊耶力挺15岁新星：不需要给太多建议，他自会纠错

此后，小红书、腾讯等机构相继入场，而此次濉溪县新兴产业投资基金的投资，则是觅光时隔两年后再次获得外部融资。

2023年11月，减肥版Zepbound获批。

7、《教育发展“十五五”规划》系列解读⑤：基础教育如何更好“夯实基点”？

反观阿根廷，他们的晋级之路充满了惊险与血性。

尤其是第二轮对阵刚果，哥伦比亚全场控球率64%，射门20次射正9次，完全压制了对手，只是终结效率偏低，最终只收获一个进球。

8、火花主帅：执行必须更好，86比82输球很失望

在这个供给断层的窗口期，缺口被急剧放大，部分订单排期已延至2027年。

说白了，不是"实习生值钱"，是"稀缺方向上的年轻人值钱"。

如果球员最终选择巴黎，巴萨愿意坐到谈判桌前谈，但前提是财务条件必须到位，而他们的要价就定在5000万欧元。

9、美职联前瞻：圣何塞地震迎战奥兰多城 格列兹曼随队到访

具身智能赛道看起来拥挤，但大量公司目前仍以机器人本体、运动控制或场景交付为主。

森保一大概率同样采用4-3-3体系，26人大名单中23人拥有旅欧经历，其中12人效力于五大联赛，39岁的长友佑都更是成为首位5次参加世界杯的亚洲球员。

10、热火错发詹姆斯加盟发布会视频，但其经纪人表示“不会仓促决定”

在竞技体育的残酷世界里，当冠军梦碎，用一场华丽的对攻来弥补遗憾，用打破纪录来证明个人价值，何尝不是另一种形式的“全力以赴”？ 10球大战，4项历史纪录，这场季军战或许没有决赛的窒息感，但它用最直接的方式告诉我们：即便是在“无人想踢”的角落，只要球星还在，只要纪录还在，足球的魅力就永远不会褪色。

1/16决赛对阵荷兰，双方苦战120分钟不分胜负，摩洛哥最终在点球大战中胜出，展现了强大的心理素质。

1、先发投手排名更新：斯库巴尔稳居榜首，西兹新配球引关注

进入淘汰赛后，挪威的硬仗能力令人刮目相看，1/16决赛第86分钟由哈兰德完成绝杀，2比1淘汰科特迪瓦；1/8决赛面对五星巴西，凭借哈兰德下半场的梅开二度，2比1再下一城。

2、前老鹰队友为赫茨鸣不平：NFL百大仅排56位？该是第一

2026年8月，公司计划启动 Pre-IPO 最后一轮融资，目标投前达到了500亿美元。

3、从落寞右投到轮值救星：彼得·兰伯特的太空人重生之旅

达利奇的球队主打4-2-3-1阵型，核心是中场控制和防守反击。体育频道突设付费墙：蓝鸟光芒大战需订阅，24档节目全上锁前十五分钟，西班牙控球率达到68%，如实反映着比赛走势。

4、马竞、热刺、利物浦提前锁定世界杯冠军！

我刚结束新闻发布会就立刻给他们打了电话，他们也非常激动。

5、转会窗：尤文不愿高价买瑟尔洛特，阿图尔回归尤文

一签赚0到3000元。

6、17+6+6+5，火箭队新秀优缺点明显，与斯马特搭档互补，防守不行抢断凑

流量计控制着设备内的气体流量，过去全靠进口。

相当于一个合格的人刚提离职，楼下就有5家公司拿着合同本在堵门。

另一个看点是60分钟体能线，塞内加尔高强度逼抢能否在前一小时建立优势，挪威又能否在后程利用对手体能下降的机会发力。

7、明年台积电价格或上调5%至10%，苹果官方：已无力独自消化成本，iPhone 18 Pro高配版涨幅或达近2000元

30次抢断尝试成功19次、成功率63.33%，表面看还行，但对比一下就清楚了：凯塞多抢断成功率只有52.34%，但他整个赛季完成了128次抢断，比加纳乔多出近100次。

最近产品逐渐成熟，不再需要增加研发人员，客户增长却没停滞。

8、开幕式前首枚奖牌敲定！奥运奖牌得主洛芙利娜确保至少铜牌

对于成都蓉城来说，14分的领先优势足以让他们在漫长的赛季中保持从容；而对于重庆铜梁龙而言，能够在客场从领头羊身上带走一分，同样是值得肯定的成绩。

科特迪瓦1-0绝杀厄瓜多尔的比赛则展现出很强的韧性，全场仅让对手1次射正，面对持续施压始终保持阵型紧凑，但比赛也暴露出中场控球劣势、进攻终结效率不高、下半场体能下降防线松动等问题。

" 利物浦去年夏天花费超过4亿英镑，先后两次打破英国转会纪录签下维尔茨和伊萨克。

毕竟，市场反馈才是真正的评价。