以上路径成立以后，还要解释市场为什么没有提前完成定价。

1、星空体彩 反常的是，当季营收环比增长16%，汽车销售毛利率从16.2%升至17.2%，账面本该更好看，现金却几乎耗尽。

报道称，巴萨的立场很清晰——费兰的估值是五千万欧元，这个价格没有商量余地。星空体彩换作俄罗斯或者卡塔尔，更多是单纯的观赛和品牌曝光；但在美国，观赛之余可以见客户、看市场、聊技术、对接资本，一趟行程多重价值，何乐而不为。

2、曝马刺已撤回对哈里森-英格拉姆的资质报价

" "然而，即便有时听起来可能有点像套话，我们还是要振作起来，去休假，然后翻开下一个篇章。

3、茉莉奶白案后再状告国家知识产权局，LV的真实目的是什么？

巴萨在当天早些时候官宣了今夏第二笔引援——卡里姆·阿德耶米。

4、DIMOO 联名皮克斯，谁的童年 DNA 动了？

萨拉赫在利物浦的九年生涯堪称辉煌，442场比赛打入257球，随队斩获包括英超、欧冠在内的八座重要奖杯，还拿过4次英超金靴，1次英超年度最佳球员（2017-18赛季）。

5、1年1329万！拒绝交易！再见了，库明加！

虽然克罗地亚硬实力占优，但奎罗斯为加纳打造的这种“煎熬式防守”，恰好踩中了克罗地亚攻坚乏力的痛点。

参考资料： 《中际旭创或成港股年内第一大IPO，募资净额分五大方向精准落地》，财闻； 《33家顶级资本疯抢！"光模块一哥"港股最高定价1010港元，腾讯阿里罕见联手入局》，时报财经； 《中际旭创，28亿并购换来9549亿》，财经天下； 《中际旭创800位员工分17亿》，投资界； 《变天，1.5万亿"算力新皇"诞生记！》，Wind万得； 《28亿卖身后估值突破1万亿，结果反转了》，虎嗅APP； 《十年180倍！最牛A股炼成记》，东方财富网； 《山东新首富诞生》，投资界； 《75岁王伟修登顶山东首富 "易中天"正在批量制造千万富翁》，腾讯财经； 《中际旭创H股或成近年港股最大IPO》，第一财经。

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、智见丨中国汽车工程学会名誉理事长付于武：车企不要总讲“卷”，要找准定位用产品说话

如今，一部分在满负荷排队，另一部分却在公开招商、以接近成本的价格寻找客户；与此同时，模型企业和科研机构仍在抱怨算力紧张。

首先，英格兰人在今年5月已经与曼城达成了续约原则性协议，合同将延长至2030年并附带一年选项，球员本人明确表达了留队意愿。

7、掌舵2万亿金融央企！60岁“金融老将”谭炯跨司履新，出任中国人保党委书记

后两层溢价全是零。

并且新门店会考虑品牌特性、消费者画像和产品属性，把资源集中到更有成长性的品牌店、旗舰店和更适合做全渠道运营的点位上。

8、一场钻石联赛，凭什么让全城人跟着一起嗨？

优先级最高的是卡雷查斯。

"费兰……费兰……费兰……" 多年来，围绕费兰·托雷斯的喧嚣，是他必须学会去承受的东西。

福法纳本赛季表现起伏不定，米兰管理层对在今夏收到合适报价后放人持开放态度，标价不低于3000万欧元。

9、字母哥眼中只有冠军：在迈阿密开启7号新篇章

美加墨世界杯1/4决赛，法国将在波士顿体育场迎战北非劲旅摩洛哥。

”他接着说，“我们必须重新站起来，没有别的路。

10、奔赴主场之约 成为球队底气！

今年夏窗，米兰的引援预算为5000万欧元基础外加出售球员收入，其中租借球员的买断收入占到大头。

卡雷查斯惯用左脚，身高171公分，过人频率与关键传球均位列比甲同位置前列，亨克对球员的标价在3000万欧元以上。

1、德罗赞也要等詹姆斯！多队无缘签老詹后才会追他 活塞猛龙等队在列

除了巴萨，马德里竞技也是一个可能的去处。

2、文班致命失误+绝杀失败！马刺1分惜败尼克斯，唐斯成赢球胜负手

意甲收官战结束后，米兰老板卡迪纳莱火速炒掉了主教练阿莱格里、体育总监塔雷、CEO富拉尼和技术总监蒙卡达。

3、续约谈判出现分歧，上海大鲨鱼会留住洛夫顿吗？

不过葡萄牙人当下还不想离开主流联赛，他的梦想是登陆英超。世界女排联赛来了，中国女排今晚首场比赛直播预告，能赢苹果的诉状描述是这样的：为了挖走苹果的人，OpenAI到了疯狂的地步。

4、名记称湖人收获利好，篮网抄底16+8悍将，可能放弃竞价里夫斯？

北京时间7月15日凌晨3时，2026年美加墨世界杯首场半决赛落下帷幕。

5、宏远速递！功勋教练转投北京，徐杰正式发声，朱芳雨遭江苏截胡

图：2026年7月20-24日ICE布伦特原油期货（9月合约，BRNU26） 与伦敦金现价格走势叠加图 来源：Wind 三重逆风共振压制金价 金价从4141美元到4050美元的背后，是三股力量的合力。

6、AI预测命中率65.7%！联想与咪咕发布《世界杯预测人机大战百场观察》

若AI叙事降温，资金可能进一步流向黄金。

美国总统特朗普随即威胁称，若胡塞武装再次袭击沙特船只，美国将追究伊朗责任，并对伊朗及胡塞武装施以“重大军事惩罚”。

”在2026世界人工智能大会（WAIC）西岸会展中心，万兴科技创始人兼董事长吴太兵对出海参考说到。

7、LVMH Prize 的时尚评审标准正在转向哪里？

2026年1月8日，智谱登陆港交所主板，发行市值541亿港元；1月9日，MiniMax​ 挂牌港交所，发行市值575.85亿港元。

克罗地亚最可怕的特质就是大赛韧性，连续两届世界杯闯入四强，被誉为加时赛之王。

8、穆霍娃进决赛：岳不群赢了左冷禅，从招式拼到内功，太精彩！

这组数据释放了一个明确信号：国产算力芯片已不只是“备胎”，而是真实承接了AI爆发带来的算力需求。

三方谈妥了，但税务层面的财务问题迟迟未能理清，导致这笔交易大概率无法在八月之前正式落笔。

展望未来，齐达内的蓝图已经绘就。

他的世界杯不是输在失误或战术上，是身体背叛了他。