” 当前，尽管AI降低了创作成本，但一部精品AI剧创作成本依旧需要10万甚至上百万的投入，其中绝大部分花在算力上。

1、火狐官网 这多少有点道理：既然他们去了热刺，那肯定哪里有问题。

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。火狐官网膝韧带伤势将让他长时间远离赛场，巴萨只能再次等待这位关键球员走完又一段艰难康复之路。

2、硬工程+软功夫，93人成功避险！通报表扬

中间隔着大量的工程整合工作——而这恰恰是链条上大多数参与者并不涉足的环节。

3、哈兰德6.5分！挪威全队评分：谢尔德鲁普最高，三将不及格

克罗地亚人与米兰的合同截止到今年6月底，他也曾表达过自己的续约条件，那就是球队能参加欧冠，另外会有重磅引援，现在看来，魔笛的谈判也可能要被搁置了。

4、被指控违规招募 3500万教头回怼斯温尼：别装得好像自己多干净

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。

5、20场20球！拦不住姆巴佩啊！法国晋级世界杯4强！

” 更可贵的是，这时市场已经起了变化——中芯国际、长江存储、长鑫存储等头部晶圆厂，纷纷向北方华创打开产线。

他举例表示，“在实际市场运行中，红熊AI的营销获客产品正是基于市场投流线索量暴增而来的。

北京时间7月4日上午，2026美加墨世界杯1/16决赛将迎来一场南美与非洲的对决，哥伦比亚将在堪萨斯城体育场迎战加纳。

6、英雄谢幕+争议连连！世界杯8强诞生：欧洲6队+南美1队+非洲1队

边路双星阿什拉夫和马兹拉维攻防两端表现稳定，是球队战术体系的核心。

连松弛都成了一项需要努力练习的能力。

7、UFC冠军因伤沦落送外卖：我能应付，这没什么

对比来看，赣锋锂业自给率仅在50%至70%区间，国内多数中小锂盐企业仍需外购锂精矿，唯有天齐锂业可实现完全自给、无需对外采购原料。

现场的大佬们各有支持的球队，立场分明。

8、卡梅隆·安东尼：骑士二轮秀托马斯是夏联最亮眼新秀，本该进前20

bit出货量只增了11%，ASP却涨了约57%。

” 罗马诺接着说，“我得到的消息是，上周末关于阿森纳介入的报道，目前并不属实。

展望未来，齐达内的蓝图已经绘就。

9、别吹梅西了！阿根廷世界杯真正大腿！带伤血战硬扛全队

但放在整个竞争格局里看，它的位置其实有些微妙。

定位球也是挪威的重要得分手段，厄德高的脚法加上哈兰德和厄斯蒂高的头球能力，随时可能打破僵局。

10、随着世界杯结束，因凡蒂诺再“助攻”国足，未来8年或必须进世界杯

特斯拉正在做的，已经不是“多造几款车”，而是试图把汽车、能源、算力、芯片和劳动力装进同一张资产负债表。

在苏格兰效力的两个赛季里，他共为球队出场43次，打入7球，登陆苏超的首个赛季便获评马瑟韦尔赛季最佳球员。

1、国际男篮团结杯时间表：7月24日19：30，中国男篮首战PK喀麦隆

为什么？ “以前投资亏了，可以说是市场风险，创业九死一生。

2、40岁莫德里奇续约AC米兰1年：将搭档阿莫林，誓言强势反弹

首轮2-2被日本逼平；次轮5-1横扫瑞典；末轮3-1击败突尼斯，以不败战绩锁定小组第一。

3、炭火又起 山丹等你 第四届炒拨拉美食嘉年华即将启幕

当然，抛开这些浪漫的巧合，这更是一场新老交替的终极试炼。西班牙1比0力克阿根廷再夺世界杯 全国球迷街头狂欢彻夜不眠吴太兵表示，“AI更大的机会在于增量市场，那些以前完全不做剧的、完全不做视频的人开始入场，这才是更大的空间。

4、名嘴莱维亲测：上海杜莎为莎莎蜡像分流，不看的直接走，看的排队

在2026 世界人工智能大会(WAIC 2026)期间，钛媒体对话了希捷科技中国区市场与业务战略负责人俞康，从存储厂商的视角，讲述了AI规模化落地过程中被低估的部分，数据的流动、闭环与复用能力，以及硬盘这门传统技术如何在AI时代找到新的增长曲线。

5、1.16亿镑！曼城队史标王诞生，23岁英格兰国脚安德森官宣加盟

单用户单次对话可产生约10GB KV缓存，千级并发场景总量可达1TB，上万用户规模下整体缓存容量突破百TB。

6、梅赛德斯查明拉塞尔动力单元软件病灶:修复效果有待蒙扎赛道终极检验

即便如此，由于同样高达449亿美元的季度Capex导致的负现金流，Alphabet的股价也未能幸免，次日下跌超过7%。

数据显示，自5月6日创下阶段高位以来，天齐锂业股价累计下跌超40%，两个多月时间里，公司市值蒸发超610亿元。

为了摸清这行，他和朋友分别去了当地两家零食店打工。

7、告别流量内卷，中国制造靠什么重塑全球话语权？

但他做对了一件事：厚着脸皮加了十几个同行的学长微信，一个个请教"你当时怎么找的实习"。

利率。

8、金篮杯首日火爆大战，赵圆圆回汉成定海神针

台面上签一份符合监管要求的规范股权协议，台面下再由项目方与指定的平台公司签一份“抽屉协议”（补函），约定兜底收益。

这是世界杯历史上首次出现四强席位被世界前四球队全部包揽的盛况，没有黑马搅局，没有冷门频出，只有硬实力的绝对碾压。

能够鲜明展现IP性格，并和粉丝直接互动，贯穿全天、各种各样的「明星朋友」演艺互动是IP「动」起来的最主要载体。

企业客户购买的是持续可用的能力，而不是一时的榜单领先。