于是他求助了。

1、高比体育 收入怎样转化为利润，用户增长怎样形成网络效应，监管变化怎样影响订单，技术突破又怎样进入投资者实际持有的股票或代币。

随着赛事仅剩两场，他们今夏可能彻底无缘登场。高比体育最后是培养即筛选。

2、加盟广东队？CBA全明星中锋惨遭裁员，朱芳雨有望底薪完成捡漏！

决赛面对阿根廷，他的传球成功率高达95%，触球次数位列全场第三。

3、国民党要逼宫？说明统派做对了，郑丽文2大布局，锁死亲美派上限

此外，巴萨还希望引进一名正印中锋，马竞的阿根廷前锋胡利安·阿尔瓦雷斯仍是首选。

4、依旧套壳国产重卡？俄罗斯启动新款长途牵引车“瓦尔代45 PRO”生产

在“C罗与梅西谁是史上最佳”的选项中，C罗目前以超过10万票、占比62%的结果大幅领先梅西。

5、育碧CEO力挺索尼“砍光盘”：没什么大不了

本届比赛期间，他曾超越克洛泽的纪录，独占榜首，直到姆巴佩在三四名决赛中打入进球，以22球对21球在最后时刻完成反超。

76次夺回球权，一对一对抗成功率50.67%——这样的防守投入程度，很难让教练组对他另眼相看。

进入4月份以来，米兰在联赛的表现不尽人意，6场比赛遭遇了4场失利。

6、为什么越来越多人不喜欢高层了，喜欢低楼层的树景房？

2026年世界杯决赛，在足球层面的东西几乎不值一提。

球员本人希望下赛季征战欧冠，正在寻找能满足这一诉求的俱乐部，米兰下赛季的欧战席位暂时无法成为吸引他留队的核心筹码。

7、索尼砍掉游戏光盘，育碧CEO却说“这未必是坏事”

本赛季大多数时候，科内都在格罗索的4-3-3体系下充当8号位角色。

对比2020财年的8359家门店，滔博的体量几乎减少了一半。

8、《百花杀》萧长泰跪了！原来，这才是他绑架太子却不敢杀的真相

消息称，阿尔瓦雷斯对登陆酋长球场持开放态度，但他内心始终更倾向于留在西班牙，巴萨或皇家马德里才是他理想的下一站。

但中创新航和广汽埃安，则是非常有“默契”的闭口不提。

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。

9、不靠英伟达网卡，国产GPU直通方案实测出炉：吞吐飙升、延迟砍半

如果这些还不够，他们还有最后一句话：“没有人会为了治疗像肥胖这样良性的疾病而每天注射药物。

2025年全年，格林布什矿山产出135万吨锂精矿，产能规模占到全球硬岩锂矿总产量的近两成。

10、安科瑞高管周中增持4万股，增持金额79.64万元

这一机制确立后，俱乐部的引援效率显著提升。

除此之外，他还为莱比锡签下了奥尔莫、恩昆库等后来身价暴涨的球星。

1、重磅！CBA开启升降级，四川江苏队危，香港河南有望升入CBA！

紧接着，淘宝弹出人机验证；农行、建行等银行App以风险环境为由中止登录和支付。

2、又爆了！湖人用布朗尼4换1华盛顿！？你侠真要签詹姆斯了！

因此投资凸性有两个铁律：单次损失必须小，大收益出现之前，必须有能力重复尝试。

3、美国新关税措施遭质疑 被指“毫无道理”

支持创新主体依法依规汇聚行业知识、智能体执行数据等并开放共享，构建数据飞轮，反哺驱动智能体能力持续进化。凌晨3点 世界杯榜首大战！谁赢谁第1 金靴之争 3.8亿超巨对决法国vs英格兰，比赛看点如下： 第一：两队情况！法国世界排名第三，球队总身价15.2亿欧元，平均年龄26.6岁，五大联赛球员共有24人；英格兰世界排名第四，球队总身价13.6亿欧元，平均年龄13.6亿欧元，平均年龄26.6岁，五大联赛球员共有25人。

4、小鹏人形机器人已开启小批量试生产

对此他表示：“拉姆是传奇人物，这个比喻对我而言是莫大的褒奖。

5、30个月拉锯，从资不抵债到24亿美元卖出：他如何改造一家濒危银行？

Dario在自身的职场经历中意识到，一群极聪明、极自我的人聚在一起，会很快形成「小团体、山头」，因此Anthropic将文化、价值观和组织建设也作为研发体系的一部分进行打造，致力于达成最广泛的共识，消除滋生山头的土壤。

6、28岁于波掏空260万积蓄买下两套破院子，被朋友嘲笑，如今260万变10亿！

换句话说，它不等同于普通家庭市场。

整个康复过程，费尔明都遵循着俱乐部医疗和体能部门为他量身定制的个人方案，在没有任何不必要压力、也没有硬性时间表的情况下，完成了每一阶段，确保伤处彻底愈合，才恢复完整的球队活动。

高质量、高效率、低成本三者难以兼得，构成了一个“不可能三角”。

7、31省份上半年人均可支配收入公布，新疆位于→

港股由此为消费级3D打印公司放下了第一把公开的估值尺。

今年夏天，对于争四失败的米兰来说注定会是混乱的一个转会窗。

8、40岁上市公司女副总郭智超离世，是资深摩友，死因是意外交通事故

需求暴涨，供给不动，算力缺口以肉眼可见的速度在扩大。

西班牙用一场2次射正打入2球的高效率完胜本届世界杯头号夺冠热门、之前6场比赛豪取六连胜的法国队。

与此同时，关于重庆铜梁龙队长向余望的表现，也引发了部分球迷的调侃与质疑。

目前，巴萨已经签下了安东尼·戈登，阿德耶米的加盟也接近敲定，阿尔瓦雷斯依然是锋线引援的首选目标，俱乐部还对在窗口关闭前签下坎塞洛抱有信心。