此前由AI算力需求引爆的存储涨价潮沿着供应链层层传导，引发手机终端内存报价涨幅一度超过300%，受此影响，存储成本占整机物料成本暴涨至40%的千元机，成为各大手机厂商优先调整的产品线。

1、乐鱼体育 现年46岁的温契奇是近年来欧足联和国际足联最为信任的精英裁判之一。

很多判断最终证明是对的，但在兑现之前可能等了太久，付出了太高成本，或者因为行情反向波动而离场了。乐鱼体育自1966年本土夺冠后，他们无数次在希望与失望中轮回，那一声跨越甲子年的叹息，成为了无数英格兰球迷心中最深的痛，今年把足球带回家是三狮军团的最高任务。

2、一场顶级的“文字游戏”

这种“对话即创作”的交互范式，真正突破是其主动共创能力，区别于被动的“一键生成”工具，更像一位懂音乐、有耐心的合作者。

3、为什么越来越多人选择“少”？极简主义流行的真实原因，看透后你就懂了

他走进的，是一家正在经历多重风暴的豪门。

4、Goal：国际体育仲裁法庭10月8日审理非洲杯冠军争议

世界杯重磅对决即将打响，五星巴西迎战非洲劲旅摩洛哥！这一场看似悬殊的对阵，实则暗藏极大悬念。

5、姆巴佩一夜哑火，西班牙防线让他彻底消失

考虑到两队打平即可携手出线，且加拿大净胜球优势明显，双方未必会死磕到底，预测最终1-1握手言和。

目前，梅西在七项核心数据上高居榜首，另有三项数据位列第二，这十项数据交织在一起，勾勒出了一个近乎完美的球王轮廓，这才是真正的绿茵场“活化石”，真正能带领球队前进的“年长队长”。

这场半决赛尚未开打，便已在舆论场上激起层层涟漪。

6、盘锦：绷紧防汛安全弦 织密立体防护网

以下对话经智客ZhiKer编辑。

公司观察统计，截至目前，A股21家锂矿股中共有19家披露了2026年中期业绩预告。

7、延庆区举办党委信息工作专题培训

这支球队最大的特点就是防守坚韧、战术执行力强。

局面因为巴黎的出现彻底改变了。

8、一场2-0！让摩洛哥无缘四强，姆巴佩+登贝莱破门，法国坐等西班牙

但劣势也同样存在，比如：分层架构意味着链路更长、调优更复杂，端到端效果未必比直接训练VLA更好。

需求溢出的背后，是其商业化数据的陡坡式增长，ARR三月翻三倍，B端正在实现规模化变现。

内托有可能在夏窗关闭前步加纳乔后尘离开斯坦福桥。

9、后梅西时代倒计时：谁将成为潘帕斯雄鹰的新10号？

受世界杯赛程影响，弗里克在季前赛大部分时间里都无法凑齐完整阵容，这既考验着教练组的调配能力，也让体育部门在转会窗口的运作更显关键。

另据腾讯深网近期引援渠道商最新数据，包括8GB+128GB、12GB+256GB内存配置在内多款中低端机型，当前零售价涨价幅度在200元到400元之间。

10、从“被动受理”到“主动帮办”，潍坊安丘创新全流程跟踪服务机制

首先看一下小组形势。

如今阿囧已不在位，蓝军重新将目光投向迈尼昂。

1、AWS 无服务器英雄 Yan Cui：Continuum 与旧服务功能重叠，开发者面临选择困惑

我会在个人层面支持马科斯，同时每次看到英格兰站在这样的舞台上，依然无比自豪。

2、最新世界杯收入榜出炉：梅罗狂揽4个亿 当打球星为何全军覆没？

正是这位主帅当初为了给本泽马腾出外援名额，将努涅斯从联赛名单中剔除，提前终结了他的国内赛季。

3、俄联邦工商会副主席，中俄友好、和平与发展委员会妇女理事会俄方副主席德博娃 拓展商贸合作 深化人文交流_网易订阅

普通投资者一般拿不到巴菲特同样的谈判条件，却可以用类似视角选择资产和投资工具。她一夜爆火，成了年度互联网嘴替数据显示，滔博年末总卖场面积同比下降9.7%，但单店面积反而上升了3.9%。

4、Solidity合约部署前的20分钟自查清单：资深审计者最常看到的六个陷阱

然而荷兰人下课、阿莫林上任之后，加纳乔的处境急转直下。

5、中甲球队输球惹怒球迷，球迷怒骂：丢人现眼，滚出陕西

金钱从来不是他考虑的第一要素。

6、从“被动应对”到“主动引领”——湘潭市垃圾治理的破局之路

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。

“怎么搞个欧洲的裁判，最起码要是亚洲或者非洲的吧！”这是社交媒体上最常见的质疑声。

2026年前5个月，全球AIDC（AI数据中心）储能系统出货量已达10GWh，超越2025年全年规模（注：该数据来自EVTank等第三方机构统计，具体口径包含备用电源与UPS替代场景）。

7、女性身上最致命的吸引力：2个字

梅西的六届世界杯征程，和C罗一样，已成历史，此前无人达到这一数字。

西班牙后卫库巴西凭借世界杯上的表现上涨2000万欧元，身价来到1亿欧，成为当今足坛并列身价最高的后卫。

8、奥林匹亚科斯灵魂，19岁踢欧洲杯，20岁登陆德甲，对枪手角球破门

四天后，两份公告出炉。

法国队需要用进球证明，再完美的防守也有被撕裂的瞬间；西班牙队则要用零封宣告，再强大的进攻也会在传控的泥沼中迷失。

低基数之上，2026年，公司业绩随锂盐价格的翻倍而录得大涨。

无论如何，Anthropic为中国门徒们注入了一个信念：模型公司仍然可以靠能力、组织和商业闭环重新上牌桌。