于是，极佳视界从DriveDreamer继续向前，推出了负责预测和模拟未来的GigaWorld，以及负责把视觉和语言指令转化为动作的GigaBrain。

1、爱游戏手机 从比赛走势来看，英格兰大概率会采取控球进攻的策略，而墨西哥则会稳守反击。

扩产仍在继续，只是扩产资格正在被重新定义：只有具备技术壁垒、利润积累和全球合规能力的企业，才有底气在他人“踩刹车”时继续“踩油门”。爱游戏手机穆萨的优势在于多功能性，他可以胜任中场多个位置，甚至能客串边翼卫，这对加图索的球队来说是一个实用的补充。

2、喜讯！依木兰在鲁能足协杯比赛获得久违首发机会，直接成场上亮点

根据芯展速在WAIC展会上公布的数据，在AI90的解决方案下，Llama 3 70B模型推理，4卡5090集群吞吐量从120 tk/s提升至610 tk/s；64K上下文首Token延迟从27.99秒降至0.564秒，显存利用率从30%-40%提升至85%-95%，支持上下文从约8K扩展至128K+。

3、高质量发展进行时

一个身价4000万欧元的球员，巴萨花了不到六成的价格就带走了。

4、纽约红牛主场迎战夏洛特，四个月前1-6惨败后欲雪耻

莫德里奇在中场10米区域的调度堪称艺术，佩里西奇边路内切传中，克拉马里奇禁区内抢点完成终结。

5、94年Supra Turbo仅3.8万英里：硬顶手波，这可能吗？

哈弗茨担任伪九号频繁回撤接应，依靠边锋内切和中场后插上形成多点进攻，首战6人进球印证了这一战术的成功。

尽管俱乐部本财年仍以轻微亏损收官（尚待即将召开的会员大会最终确认），但管理层决定不再单纯为了账面数字而仓促推进可能损害竞技规划的交易。

早期极客用户愿意为每一次少失败而感动，但家庭、教育、小型商家等后面进来的新用户面对同样设备会把更多“不顺手”当成理所当然的问题，反而会问：为什么还是这么难用？ 这就是 3D 打印不同于手机、相机和扫地机器人等成熟消费电子的地方。

6、乔治·拉塞尔：这是我人生最艰难赛季，落后50分仍可逆转

残值担保，藏在附注里的账 10-Q文件的一条附注里，残值担保的最大敞口从年初的14.5亿美元膨胀到24.6亿美元，半年递增了70%。

此前，我们曾发布《县长的基金梦，醒了》一文，其中提及，54号文对区县级国资设立基金进行了严格限制，区县资金枯竭已成定局。

7、法国vs摩洛哥！四大看点拉满，5名阿根廷裁判成最大变数

然而，下半场风云突变，第49分钟，重庆铜梁龙通过一次前场大力手抛球战术制造杀机，外援迪马塔在禁区内头球后蹭，将皮球送入网窝，成功为客队扳平比分。

投资工具和兑现时间也要匹配。

8、英国公开赛：赫伯特追平纪录半程领跑 舍夫勒T8李昊桐淘汰

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。

如有疑问，欢迎联系923757147@qq.com。

AI服务器、AI PC、边缘智能硬件对代码型存储NOR Flash需求大幅提升，单台智能设备NOR搭载量相较传统硬件提升数倍；工业控制、新能源汽车持续扩容，进一步夯实存储芯片需求基本盘。

9、博主在重庆嘉陵江划船时救起两落水男孩，回应：小船无法同时载三人，回想觉得后怕

面对强队时收缩防线打反击，面对弱队时则掌控球权层层推进，既能蹲坑死守也能高位逼抢。

尽管成都蓉城遭遇了联赛两连平，未能借主场之利进一步扩大领先优势，但他们依然以14分的巨大分差傲视群雄，继续在中超积分榜上领跑，展现出了极强的赛季稳定性与王者底蕴；而重庆铜梁龙排名第二。

10、阿森纳确认萨利巴将长期缺阵引援目标曝光：斯通斯与孔萨，会押注谁？

第45+2分钟，戈登左路传中，贝林厄姆得球后突入禁区，在失去重心的情况下冷静推射远角得手，将比分扳为1-1。

当算力与存储无法保持同步演进，GPU便难以持续"吃饱"，整个AI基础设施的性能天花板也不再由计算芯片决定，而开始受到存储架构和数据流动效率的制约。

1、今夏第3签！蒂莱曼斯加盟曼联&公布球衣号码

过去三年，其全球销售收入增长近50亿美元，连续22个季度实现正增长。

2、穆里尼奥点评姆巴佩：别再质疑他的全面性，顶级前锋的核心使命就是进球

我很高兴能够在俱乐部的历史上写下自己的名字。

3、1986年保时捷944无保留价拍卖：原车主家族持有至今

不过比利时也面临着不小的隐患。姆巴佩苦笑，英格兰半场打爆法国在欧洲顶级赛事中震慑对手，还需要充足的"家底"来制造压迫感，这也是巴萨今夏优先从锋线开刀的原因。

4、马尔蒂尼：意大利已与安切洛蒂会谈，继瓜迪奥拉之后又盯上世界最佳

据界面新闻援引一位接近小米的人士说法称，此次上调出货目标是小米内部认为当前的存储行情有望迎来反转。

5、星队1年1200万续约罗伯逊暂缓仲裁纷争，前路仍存变数

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。

6、赛后阿根廷主帅泪流满面：我心里大概已有了自己想怎么做的想法，我看看我是不是该停下来，很难再组建这样的集体，这让我感到心痛，对不起

本轮锂价快速下行，核心诱因是供给端产能集中释放。

评估以攻击成功率（Attack Success Rate，ASR）为核心量化指标，衡量模型输出在特定计算校验中的通过情况，判断模型生成的片段方案能否通过合成筛查，并正确重组为原始序列并编码目标蛋白。

红鸟财团老板卡迪纳莱主导的米兰竞技部门彻底洗牌后，技术总监和主教练的任命终于进入倒计时。

7、洋基若豪赌1人恐毁掉整个重建 0.86 ERA的终结者也必须放弃

德拉富恩特与斯卡洛尼在执教生涯中亦师亦友，两人的战术博弈将直接决定比赛的走向。

重新审视千元机 在一众头部厂商重新审视中低端产品线同时，市场对于“千元机”的需求也在变化，参数比拼与价格补贴开始失效，差异化卖点成为千元机新的战场。

8、因与特朗普关系惹争议 因凡蒂诺遭投诉违反中立原则

这场比赛的关键在于，葡萄牙能否攻破哥伦比亚的密集防守，以及哥伦比亚的反击能否抓住葡萄牙压上后的身后空间。

属于多米尼克·索博斯洛伊的安菲尔德传奇，才刚刚写下序章。

里尔为18岁的中场小将阿尤布·布瓦迪标出了约1亿欧元的价格，而曼城对他的兴趣正日渐浓厚。

猪都能飞起来，飞起来过程中能不能活下来，还得靠团队能力和对客户需求的把控。