宇树CEO王兴兴2025年5月受访时直说，从文职到研发，公司所有岗位都缺人。

1、kaiyun登录 尤文方面认为布雷默并非非卖品，但必须要有匹配身价的报价才考虑放行。

作为21/22赛季意甲夺冠功臣，托莫里近两个赛季的出场稳定性与防守决策质量均出现下滑。kaiyun登录“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。

2、吴尊都敢晾三天！国泰航空还活在殖民梦里，香港旧势力该被淘汰！

等到大三秋招，他才从舍友那听说：人家大二就进了某大厂实习，大三直接拿 return offer，秋招根本不用卷。

3、4.8万英里的“黑马”：一台1993年马自达Miata，同一家族持有33年

如果他们想在今夏拿下巴尔科拉，将不得不再度一掷千金——距离新赛季开打已不足一个月。

4、2004款马自达MX-5 Mazdaspeed：53k英里，涡轮178马力，加州一手车

松下宣布投入3500亿日元扩产电池产能，目标将数据中心储能营收提升至当前三倍。

5、纪念“乒乓外交”55周年，中美国乒球员将搭档参加WTT美国大满贯

这种一旦被背调问出细节就露馅，反而毁信用。

WAIC现场技术人员打了个比方：“好比一个城市，如果每个区域之间通行都要经过收费站和翻译，效率必然大打折扣；真正的超节点就像把整个城市的路网统一编码，车可以直接开到任何地方。

但与2022年“60万”的投机性暴涨不同，此轮回升发生在产能充分释放之后，真实需求的拉动是基本盘。

6、魔笛亲承：无缘欧冠反助我留队 米兰渴望绝地反弹

阿斯顿维拉的介入是莱奥转会市场近期出现的少数积极信号。

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。

7、传奇继续！AC米兰官宣与莫德里奇续约至2027年

葡萄牙和西班牙是知根知底的老对手，自1921年首次交手以来，两队总共进行了41场正式比赛，西班牙18胜16平7负占据优势。

小组赛三场球，南非把这套战术玩到了极致。

8、出线形势分析！世界杯小组赛末轮今晚开打

如果英格兰人离队，米兰将全力追逐葡萄牙体育的伊纳西奥。

微软2026年Capex预计约1900亿美元。

在北京经开区，北方华创的装备子公司跟中芯北方隔着一条马路。

9、降薪能阻止滑落的匹克吗？

数据印证了库巴西的影响力。

而此时，距离李飞飞创业不过短短16个月。

10、香港一男子在机场停车场遭伏击，大腿及前臂被斩伤，6公斤黄金被抢，歹徒随后驾车往东涌方向逃走，暂未有人被捕，警方正追缉涉案3名男子_网易订阅

安踏最初实行的，是加盟分销模式，但在2020年前后，其启动DTC改革，但彼时国内加盟商数量多、单体规模偏小，不存在高度集中的渠道寡头，因此可以循序渐进分批改造和谈判，改造成本相对温和。

阶跃星辰董事长印奇有一个精准的比喻：“在旧系统上给智能体开一扇门，它永远是访客；为智能体盖一座专属运行环境，它才能成为真正的原住民。

1、把神仙拉下神坛，才是中国动画最该走的路

苹果的诉状描述是这样的：为了挖走苹果的人，OpenAI到了疯狂的地步。

2、雪佛兰5.3L V8发动机缸体制成咖啡桌，附赠台灯无底价拍卖

这种路线的优势在于，数据和模型能力具有更大的复用潜力，部分基础能力和工程平台可以同时服务自动驾驶、工业机器人、家庭机器人多个场景。

3、科研科普双向发力 喀纳斯解锁生物多样性保护新模式

不过他们也存在明显的短板，即阵地战攻坚能力不足。台湾老师傅将通勤神车爆改成复古攀爬者，旧油箱往新车架上一套，风格绝了七位NPC性格鲜明，分别有属于自己的独特故事。

4、2连胜！天津津门虎已找到保级法宝：报“愁”成功，近3年首胜申花

第一批用户大多是被旧机器折磨过的人，他们第一次用上 X1 时，看到的是“终于有一台好用的机器”。

5、湾区引力！2026Intertextile大湾区面辅料展共迎74国家及地区逾20,000人次观众

没有发布会，没有预热，却迅速售罄，二手价格一度被炒到7999元。

6、2027中部经典赛回归：田纳西垒球4月13日对阵贝尔蒙特

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。

只希望这位中场斗士能够挺过难关，也期盼三狮军团能够找到破局之法，不要让一个人的硬撑，成为整个球队无法承受之重。

7月21日，谷歌DeepMind发布三款轻量新模型，主力产品Gemini 3.6 Flash主打高效，以更少的token、更低的成本提供更高质量的工作。

7、157所！四川最新高校名单公布

墨西哥作为东道主之一身处A组，面对南非、韩国、捷克三战全胜零失球排名第一晋级，展现了强大的防守实力和稳定的进攻效率。

据多方媒体报道，维拉管理层原本并不打算出售蒂莱曼斯，甚至在几个月前还向他提供了一份新合同。

8、特斯拉Cybertruck销售惨淡：首年注册量仅7133辆，远逊福特史上最大败笔

TCL的赞助策略则更加激进，直接同时签下了西班牙、阿根廷、德国等多支强队，决赛直接变成了"TCL德比"。

商业化落地也在同步提速。

哈兰德同期同样上涨2000万，两人继续在金字塔顶并驾齐驱。

很多人或许有灵感、有情绪，却很难真正把脑海里的旋律变成一首完整作品。