说的是华为松山湖的实习生，有人日薪折算下来月薪已经过万；评论区接着冒出字节、腾讯的高薪实习岗，一水的"给钱大方"。

1、kaiyun官方 第二场比赛是8月5日在澳大利亚珀斯进行的米兰德比，对手是国际米兰。

在量产节奏方面，特斯拉Optimus 第三代目标年产100 万台，第四代年产 1000 万台——但量产爬坡遵循 S 型曲线，前期十分平缓漫长。kaiyun官方产品发售第三年，拓竹已经证明，一台需要极客反复调试的机器，可以被重新做成消费品。

2、1971年李四光去世，“四人帮”不准开追悼会，周总理大怒：中国有几个李四光？_网易订阅

彼时的苏州旭创的由刘圣等留美博士2008年创立，是国内最早布局光通信模块的企业之一。

3、队医｜半月板撕裂只是一次挫折

此刻，“吃乐事，看赛有乐事”不再只是一句传播口号，而是真正成为消费者可感知、可参与、可分享的品牌体验。

4、再走长征路｜一座川滇古城的红色基因与文旅突围

卡尔迪纳莱最近又聘请了两家猎头公司，一家专门负责寻找体育总监，另一家则负责主教练人选。

5、零跑全新B01和B10上市，开启10万级800V时代

”他认为，“AI产业也会沿循相似的路径，模型成为基础设施，应用最终跑到前面，就像今天的苹果、微软、谷歌，面向终端消费者提供解决方案的企业在最前面。

真的可以不要渠道商？ 不过，在线上失去经销商这一缓冲垫，耐克将要承担风险集中化的后果。

葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

6、山乡起舞，逐梦远方，一场跨越数年的美育坚守

此外，他还有强力的头球能力，也能在禁区外打出高质量的远射。

定位球得分占比高达35%，也是这支球队的重要武器。

7、北控教练组大洗牌！顶级外教担任主帅，上赛季率领黑马打进季后赛

酷睿程将基于白盒授权模式，依托地平线的AI基座大模型能力，开发大众汽车集团中国统一的AI驾驶解决方案，以推动大众L3和L4级自动驾驶能力落地。

” 对月之暗面来说，它仍处于这样的中间状态，想要实现更高的智能，它的前面还站着更多的DeepSeek。

8、5亿A轮！华鹰航空创4t级无人运输机最大单笔融资

而输出其对跑步和装备的专业理解，甚至会走在潮流的前面，推出全新的科技和产品，带领消费趋势的变化。

听起来有点像囧二代。

这不是一个简单的货架扩品，尤其还发生在软银入主和波兰便利店巨头收购两大事件之后，更像是7-Eleven在宏观战略之外，在业务“微操”层面借助新鲜零食发起的一场精细化突围。

9、摊牌了！曾叫嚣给大陆赏饭吃的郭台铭，没有中国产业链，啥也不是

高度依赖青训体系的巴萨转会投入更少，两年的总支出只有8800万欧元，而止步欧冠半决赛的马德里竞技投入还是很疯狂的，两年间支付了4.18亿欧元转会费，不过他们也通过出售球员收回了2.6亿欧元。

公告披露，此前广安爱众为收回对全资子公司深圳爱众资本管理有限公司（以下简称“爱众资本”）累计提供的4.79亿元借款本金，向广安区法院提起诉讼并申请财产保全。

10、2026年抽签大会诞生3个大赢家，1个最大输家，快船5换1交易神了

所谓系统效能，不仅包括GPU自身的计算能力，更包括数据如何流动、显存如何利用、多卡之间如何通信，以及整个推理过程能否保持高效率。

C罗六届世界杯仅有1个进球，还是点球；梅西已经独享世界杯“双王”，10助和21球分别领跑世界杯历史助攻榜和射手榜，梅西也是世界杯历史首位助攻和进球均上双的球员。

1、曝多队选秀前预计昆坦斯需接受手术 或使他缺席新赛季大部分时间

消费者不仅期待正品保障，也期待更高品质以及不同平台之间一致的消费体验。

2、塞尔比5小时大战"磨"到凌晨，解说嘉宾亨德利忍无可忍直接走人

对于米兰而言，尽早锁定欧冠资格将成为抢人的关键筹码。

3、逆转+绝杀晋级决赛！阿根廷2比1战胜英格兰，戈登包抄破门，恩佐世界波破门扳平，劳塔罗头球反超，再现西阿大战

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。官方：刘柄麟、朴慜峻和杨戈语加盟广东晨星聚力把所有线索放在一起，谷歌面临的真正问题浮出水面：作为资本开支最激进的AI公司之一，持续高额的投入到底能不能带来实际收益，至今没有被验证。

4、恐怖!曲棍球手被球击中失明 切开脑袋手术满头刀疤

” 莱奥与米兰的合同持续到2028年，年薪700万欧元（含奖金），他的协议中包含一项1.75亿欧元的解约金条款，该条款只能在每年7月初生效，当然这些都不重要。

5、再走长征路｜茯苓“土疙瘩”变致富“聚宝盆”：湖南靖州“企村农”联动助力富农增收

从数据来看，米兰前28轮场均被射门11次，后8轮场均11.62次，几乎没有变化。

6、消失的低价票，史上最贵球衣，足球还能回家吗

值得一提的是，尼古拉斯·冈萨雷斯在整个2025-26赛季均效力于马竞，这10人构成了马竞在世界杯决赛的绝对主力版图。

第四是商业价值，日本球员在亚洲市场有很高的影响力，签下他有助于米兰开拓日本和亚洲市场，这是红鸟最乐意看到的。

受此影响，地平线机器人近年来持续处于亏损状态。

7、批准沙特核协议，却打击伊朗镐山？美双标嘴脸露出，情报却来自它

以前我们觉得"毕业再想找工作"，现在大二大三就在分岔了。

但对于7-Eleven来说，光是进军新鲜零食还远远不够。

8、今天，李宁也拥有了自己的「乔丹」…

两队历史上共交手4次，埃及2胜1平1负稍占上风，但双方的实力差距其实并不大。

唯一的区别是诺维奇当年没有那么多艾德·希兰。

在接受葡萄牙媒体Sport TV采访时，他公开表达了离开米兰、前往其他联赛开启新征程的想法，西甲和英超是其更青睐的下家方向。

第一次首发对沙特，只用10分钟就进球。