预计在7月下旬对阵凯尔特人的友谊赛前后，管理层在转会市场会有具体举动。

1、leyuapp 工业智能、车载算力、本地大模型、智能家居的全面落地，让FPGA、SoC、物联网MCU芯片迎来快速增长期。

” 因此，在杨晓煜看来，两点并不矛盾，“我们有AI能力，有服务能力，可以向前端获客视角延伸。leyuapp一旦启用，将改变这家公司自2019年以来的资产负债表结构。

2、巴州最高温将超43℃！高温预警升级为红色!

正如你所言，姆巴佩就是为大场面而生的球员。

3、深耕新材料技术与装备 孙以泽院士：碳纤维复合材料将走进千家万户

在欧冠资格悬而未决的最后两轮，这或许是阿莱格里为数不多的能够打得出去的牌了。

4、刚刚

综合各方面因素，阿根廷在纸面实力、大赛经验、攻防均衡度上都占据优势，奥地利的高位逼抢可能在开局阶段给阿根廷制造一定麻烦，但随着比赛深入，阿根廷的技术优势和阵容深度有望逐渐显现。

5、首届48队世界杯圆满落幕，但扩军，才刚刚开始

而C罗的个人品牌“CR7”，更是撑起了服装、鞋履、香水、酒店的完整矩阵。

杭州电信方面透露，经过数月软硬件调优，TPU 集群的 Token 输出效率较年初提升超过 10 倍。

他变阵五后卫，这让对手得以从容掌控比赛节奏。

6、小朋友的世界，不讲人情世故。

按一块电池包4到5万元估算，21万辆车即便只有一半需要更换，总成本也在40到50亿级别。

把两种任务放在同一套资源里运行，容易出现资源闲置或排队，拆开之后，集群可以围绕不同负载进行更细致的配置。

7、把带薪休假制度落到实处

更麻烦的是，AI芯片和系统架构的更新周期已压缩到一年左右。

旧一点的词在追溯病因，新一点的词在争夺人生的解释权。

8、官宣！韩德君回归

财报会依然没有给出具体产量和正式搭载付费乘客的时间表。

”他强调，西班牙队不会因对手而改变自身打法。

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、中卫未来12小时将有雷电、短时强降雨天气，大家注意预防！

他们的婉拒很能说明问题：现阶段的米兰，既拿不出清晰的中长期竞技规划去说服候选人，也无法在薪酬和话语权上给出压倒性的保证。

现在去见企业，人家第一句就问‘你们基金能出多少’，我只能尴尬地笑笑，说我们现在拼的是资源与服务。

10、范志毅：世界杯不拿冠军和最后一名没什么区别 没人会记住2-48名

亚马尔：19岁世界冠军 衡量亚马尔有多特别的一个奇怪标尺是：19岁拿了世界冠军，却让人感觉他还有更高一档没拿出来。

这名巴萨边锋与凯恩搭档锋线，他的进球一度看起来将成为英格兰世界杯历史上的经典瞬间之一。

1、14岁少年双腿文成“大花腿”，家长索赔20万元

此次合作并非简单的商业代言，Crocs同步推出全新品牌宣言“我控场（Let Them Talk）”，将樊振东在赛场上的专注自律精神与品牌“天生敢不同”的理念深度绑定。

2、知情人曝大S曾手写遗嘱，内容曝光玥儿姐弟分最多，S妈具俊晔不认

多个智能体同时工作，会把吞吐量、响应时间和服务稳定性一起推向极限。

3、足协杯淘汰赛最新战报：4场点球大战，成都蓉城爆冷，上海申花逆袭

卖铲子的公司越来越多，市场上“能用的算力”却没有同步变多。中卫市职业技术学校 2026年招生简章过去一年，字节、阿里、腾讯等大厂加速投入，DeepSeek继续用性价比和开源路线冲击市场，智谱、MiniMax相继上市，月之暗面一度被推到了一个需要向资本自证价值的尴尬境地。

4、科普｜烟雾病与脑血管重建

虽然阿拉伊贝戈维奇是一个不错的潜力股，但这笔交易也存在一些争议。

5、最新

哈兰德直面姆巴佩，两大当世巨星的直接对话，无疑是本场比赛最大的看点。

6、“入局最晚”的90后创业者，闯入千亿赛道，五年进入国内前三

GPU算力每年提升2到3倍，但内存带宽一年只涨15%到30%，两者之间的差距越来越大。

我见过拿了高薪实习的同学，三个月瘦了十斤，半夜在朋友圈发"撑不住但又不敢走"。

拉长周期来看，自去年碳酸锂价格触底反弹后，天齐锂业股价曾迎来一轮修复行情。

7、董路做的事，其实很简单。

整体状态：东道主完胜VS太极虎逆转 墨西哥近期状态十分稳定，近10场取得6胜3平1负，进16球仅失4球，2026年以来热身赛保持不败，防守端完成8场零封。

自去年9月正式上线以来，Tunee官网月度访问量保持在百万级以上，是国内AI Agent赛道中出圈最快的产品之一。

8、足坛一夜动态：水晶宫欧战首冠，巴萨天价引援，B席深情告别瓜帅

今年一季度更是惊人，单季营收达到194.96亿元，同比增长超190%；归母净利润57.35亿元，同比增长262.28%，一个季度的利润就超过了2024年全年。

周期威力再现，低基数下业绩暴增 “去年新的碳酸锂产线完成投产后，公司整体规模提升，今年产能释放情况良好，有长期合作的下游客户，订单情况良好。

球队在淘汰赛阶段连续上演惊险逆转，虽然展现了冠军底蕴，但也暴露出对梅西的过度依赖以及阵容老化的问题。

日本队26人大名单中有23人效力欧洲联赛，其中12人是五大联赛主力，阵容欧洲化程度在亚洲球队中独一档，三条线都有旅欧主力压阵，没有明显短板。