据中国连锁经营协会（CCFA）发布的《2026中国便利店发展报告》显示，2025年全国便利店Top100企业门店总数达到20.8万家，同比增幅仅为5.6%，增幅较上一年进一步收窄，全年行业净增门店数为7572家，相较于2024年的9570家下降了26.38%，与此同时，单店效益持续承压，2025年行业单店日均营收降至4453元，同比下滑3.9%，单店日均来客数同比下降8.7%，可比门店销售实现增长的占比已不足三成。

1、BOB足球 "AI的竞争，本质上是算力效率的竞争。

就在6月底之前，他还被视为俱乐部获取即时收入的重要资产，但如今这一紧迫性已不复存在。BOB足球显然莱奥也不是中锋，但他是阿莱格里在几番权衡后不得不扶正的一个。

2、王新雅当选东莞市清溪镇副镇长，刘源当选镇人大副主席

三支全部降级的赔率不超过2比1，而三支全部保级的赔率高达28比1。

3、对手19号球衣成梅西世界杯决赛魔咒？亚马尔会复刻格策绝杀吗？

选择变多了，确定性却没有同步增加。

4、上海这幕刷屏！18岁男生为爷爷"手搓"APP，专门提醒这件事！网友：最好的孝心是让他们跟上时代

与此同时，耐克集团副总裁、大中华区总经理申凯希（Cathy Sparks）发布署名公开信《重构大中华区市场生态：只为更好服务本土运动员》。

5、放弃985上岸“三非”高校电气工程，网友“建议”开学转专业：土木工程才是王牌

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。

随着吉达国民与葡萄牙体育的文件交换进入尾声，特林康的中东之旅即将启程。

你实习拿多少？或者，你身边有月薪过万的实习生吗？评论区聊聊，说说你看到的真实情况。

6、16岁已是人间尤物，4年换19个男人，找到老实人接盘后收心做人妻

”红熊AI的做法是为每个客户做业务剖析，找准真实痛点，再匹配AI工具：针对大型客户提供私有化部署，满足个性化需求；针对中小客户推出轻量化SaaS版本，支持免费试用，按效果付费。

“所以我刷到有人骂零食店黑心，心里也挺难受。

7、携手前沿技术 共创智能未来——来自2026年世界互联网大会数字丝路发展论坛的声音

乐事品牌代言人宋雨琦、王鹤棣惊喜现身，与球迷们分享了自己的观赛日常，更是与现场观众热情互动，乐事不停。

值得一提的是，接替他的范博梅尔让狼堡的成绩一落千丈，执教4个月胜率仅30.7%，随后黯然下课，如今荷兰人也是米兰重点关注的目标。

8、一代女神沦为豪门玩物：结婚8年牙齿全掉，器官切除，面似骷髅

随着2026年夏季转会窗口的深入，土耳其超级联赛迎来了一枚重磅炸弹。

真正值得讨论的，是极佳视界选择了一条什么样的技术路线？ 目前，世界模型大致可以分成三类： 第一类是以视频和交互环境生成为核心的世界模型。

今年以来，国家新闻出版署累计发放游戏版号1147个，包括1110款国产网络游戏和37款进口网络游戏，版号发放保持每月一次的常态化节奏。

9、绿茶家长“过度打扮”，反被嘲笑成小丑：你就是个普通的家庭妇女

一方面，这代表了中国模型已经能够追平甚至赶超美国的顶尖模型；另一方面，也代表了开源模型和闭源模型之间的能力差距进一步缩小。

在追逐伊劳拉受阻后，AC米兰转向其他目标，当前最热门的名字是格拉斯纳，这位刚刚率领水晶宫夺得欧会杯的主帅曾在沃尔夫斯堡、法兰克福等球队多次缔造神奇纪录，同时，他对中锋的调教能力也非常出色。

10、不进球也超你！金靴之争梅西反超姆巴佩，决赛冲世界杯大四喜神迹

如今，作为马拉多纳的传承者，梅西将迎来个人第206场国家队比赛，也是他职业生涯首次对阵英格兰。

虽然体能和突破能力不如巅峰时期，但C罗在禁区内的嗅觉和终结能力依然是顶级水准。

1、油电气氢全动力出击！FH Aero打头阵，还有VNL长头卡车？沃尔沃卡车2026IAA展车阵容前瞻

作为米兰近几个赛季的核心进攻手，莱奥效力球队8年间累计出战291场，贡献80粒进球和65次助攻，排在俱乐部队史射手榜第15位、助攻榜第6位，是红黑军团重返意甲争冠行列、拿下21/22赛季意甲冠军的核心功臣。

2、2年1300万！湖人奇兵宣告出走，东契奇痛失帮手，火箭坐收好礼

阵容老龄化严重，首发阵容中超过30岁的球员达到7人。

3、2026年第13周：跨境出海行业周度市场观察

世界杯正赛仅在1966年有过一次碰面，当时阿根廷2-1击败西班牙。坐标佛山，花450万，买2楼，你们觉得值吗？莫德里奇和拉比奥是新赛季中场的两个确定性支点。

4、最新！今年育儿补贴已发放2516万人，2022-2024年出生婴幼儿的首次育儿补贴申请截止时间延长至2026年12月31日

上赛季，科莫托在意乙共出场28次，其中9次首发，累计出场时间1254分钟，平均每次登场约45分钟。

5、努诺要求高质量引援目标导致球员被拒

成本既包括支付出去的钱，也包括时间损耗、融资成本、稀释风险、机会成本，以及在最差时期被迫离场的可能。

6、山东泰山：预算有保障无缺额，转型阵痛期的阵容困境、青训调整与连鲁对决展望

但劣势也同样存在，比如：分层架构意味着链路更长、调优更复杂，端到端效果未必比直接训练VLA更好。

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。

与此同时，国内头部封测企业也在持续加码先进封装产能布局，逐步摆脱低端同质化竞争。

7、有情有义！广州龙狮不再续约郭艾伦，2个赛季打19场比赛，亚洲第一控卫下一站成迷！

荣耀：给手机装上“脑”和“手” 荣耀的选择最为独特。

绿巴萨近几个赛季在年轻球员培养方面积累了不少案例，从斯卡马卡到弗拉泰西，俱乐部总能给予新人稳定的出场时间助其成长。

8、绍兴网友大家帮忙看看！弟媳的弟弟结婚，我随礼六百行吗？

对阵卡利亚里的比赛中，福法纳的位置将在里奇和洛夫图斯-奇克之间抉择。

这两天刷微博，一条热搜看得人心里一紧：#实习工资居然能到一万#。

如果无法尽快解决中场失控与防线脆弱的问题，理清进攻端的战术思路，山东泰山在本赛季的争冠与保三之路上，恐怕还将面临更多的无奈与叹息，甚至会出现“惨案”。

2026年6月30日，国家药监局发布了两份指导原则，明确侵入式脑机接口统一按第三类医疗器械管理——监管边界划清之后，企业的研发路径与申报节奏瞬间明朗。