单次求职虽然具有阶段性，但整个求职过程包含职位发现、简历定制、申请填写、内推寻找和面试准备等大量高频任务。

1、人人体育 第26分钟，专职后腰马德鲁加拼抢受伤离场，泰山队瞬间失去了中场唯一的防守枢纽，本土中场拦截力度断崖式下滑，导致大连队中场核心斯坦丘得以毫无限制地梳理反击节奏。

在筛查层面，提升合成筛查鲁棒性，现有机制需增强对AI辅助分片策略的识别能力，推动ISO 20688等国际标准落地，发展兼顾隐私与安全的筛查方案并加强信息共享。人人体育无论结果如何，这场“西法大战”都注定将成为本届世界杯的经典对决。

2、港股风向标｜资金面观望恒指交投萎靡 外围风险情绪进一步发酵

莫塔是一位年轻教练，拥有多段意甲执教经历，并展现出善于挖掘年轻球员的能力，尤其是对低预算转会窗的应变能力让红鸟十分欣赏。

3、男篮落地海口！残阵碰3支欧非劲旅，3天3场硬战，郭士强解2大难题_网易订阅

如果这笔转会谈不拢，他宁可把合同坐穿，明年夏天自由身走人。

4、淘宝闪购升级商家店铺评分体系：后厨核验、明厨亮灶纳入核心权重

但模型发布后的评测结果却泼了冷水，AI模型评测平台Arena.ai显示，Gemini 3.6 Flash在前端代码竞技场中以1537分排名第12位，第三方评测机构Artificial Analysis的模型智能指数得分为50，与上一代3.5 Flash持平。

5、深圳市人工智能与机器人研究院丁宁：具身智能就是知行合一

四、先泼盆冷水：别被热搜制造绝对焦虑 写这些，不是为了吓你躺平。

世界杯正赛交手，瑞士保持全胜，堪称实打实的血脉压制。

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。

6、梅西世界杯8球4助封神GOAT，但罗德里已悄然集齐足坛大满贯

首先，开源所带来的成本投入和克制商业化战略下的盈亏平衡。

然而从数据统计来看，问题似乎并不出在这里。

7、“炽翎”出征！中国国家攀岩队身着新战袍开启2026赛季

很多公司做的世界模型主要服务视频生成、游戏娱乐，看起来像就行。

正是通过这层关系，努涅斯被推荐给了米兰。

8、悬念不大，字母哥未来48小时代，大概率加盟热火！

而它们真正稀缺的地方，不是买设备的钱，而是没有退路：利用率不足，成本自己扛；系统出问题，团队自己上；客户任务跑不起来，没法把责任推诿给下游供应商。

费兰、戈登双双上涨 世界杯决赛打入制胜球的费兰·托雷斯也迎来了身价提升。

这种团队化管理模式在意甲联赛属于首创。

9、茂名化州市政协原主席黄轩被查

根据数据机构的统计，在全球最顶级的50大联赛中，如果将出场时间门槛设定在720分钟以上，科斯蒂奇每90分钟的进球参与度（进球加助攻）达到了0.92球，这个效率让他在全球U21球员中高居第三，仅次于早已声名远播的巴萨天才亚马尔（1.01球）和基辅迪纳摩的波诺马连科（1.07球）。

金钱从来不是他考虑的第一要素。

10、被CBA多队疯抢！山东被曝欲卖掉谢智杰，广东队成最大潜在下家？

6月1日Agnes AI上线了API Platform。

过去数月，全球锂矿新增产能落地节奏异常密集：宁德时代枧下窝锂矿6月底正式复产，大中矿业湖南临武鸡脚山项目6月点火投产，中资钻石能源西非300万吨/年锂矿项目7月顺利投产，国城锂业四川绵竹一期6万吨产能也在7月中旬落地投产。

1、雄鹿助教：伯里斯攻防兼备 有超越同龄人的成熟

在比赛中，葡萄牙经常陷入“无效控球”的泥沼，看似占据绝对的控球率，却缺乏能够撕裂对手防线的纵向传递。

2、火箭90-64大胜76人，索顿18+2+4，菲隆17分

即便按中枢900GWh估算，储能也有望在2026年接近甚至追平动力电池。

3、总觉得AI脸怪怪的？专家回应

换句话说，各方关注的不再是"能不能成"，而是"什么时候成"。京东公益为宿迁乡村校园建足球场 1500名乡村儿童圆梦绿茵兼具城市娱乐地标和IP体验中心的双重属性，对于泡泡玛特而言，乐园的升级不仅意味着提供更好的游乐体验，还包括真正讲好IP故事。

4、达成了！重磅3方大交易！篮网彻底告别里夫斯

这50天里，虽然大部分机构处于“暂停立项”的暂缓期，但制度的重建正在悄然进行。

5、国内脑机接口技术迎来重大突破！

因为利润一年涨了50倍以上。

6、森林狼也要掺一脚？爱德华兹、三球联手招募，詹姆斯去向即将揭晓

（本文首发于钛媒体APP，文｜TechPulse，作者 ｜ 张帅，编辑 ｜ 盖虹达）7月21日，外媒报道称，世界模型创业公司极佳视界（GigaAI）正在讨论最快于2026年赴港上市。

对万兴科技来说，真正的考验不是能不能在国内卷赢字节、阿里，而是这套国内练兵的能力，能不能真的在全球市场兑现溢价。

但进球之后，图赫尔并未选择乘胜追击，反而接连做出偏重防守的换人调整，全队阵型回收，将控球权拱手相让。

7、工信部推进辅助驾驶国标落地 智能汽车监管进一步升级

与此同时，马竞方面持续传递同一信号：尽管阿根廷人已明确表达了离队意愿，俱乐部今夏不会接受任何价格将其出售。

足球通常告诉年轻人：排队等着。

8、出版商请晚年的汪东兴写回忆录，他却拒绝：写了就没脸再见毛主席_网易订阅

然而，西班牙的隐患在于阵地战破密集防守的能力，且上一场对阵比利时的淘汰赛中，他们苦战120分钟才惊险晋级，主力体能消耗巨大。

“奥德赛时期”就是一个典型例子。

当然，新的管理架构也面临着挑战。

第86分钟，他右路从容横传，助攻恩佐轰出世界波扳平比分；第92分钟，他右路精准传中，帮助劳塔罗头球完成读秒绝杀。