安全声明：本次评估严格遵循负责任披露原则，不展示制造危险物质的方法。

1、米兰体育 肯给在校生开正式工级别的薪水，背后算的是三笔账，而且算得极清。

预计英格兰常规时间取胜的概率稍大，最可能的比分是1-0，次选墨西哥1球小胜。米兰体育米兰老板卡迪纳莱解雇了主教练和多名管理层人员后，俱乐部有望在未来一周内官宣新任总监和主帅。

2、德里赫特无缘曼联季初比赛！曝利马续约要19万周薪，拉爵考虑卖掉

恩多耶扳平比分，恩博洛“无脑假摔”成比赛转折点 落后的瑞士队并未放弃，他们在下半场发起了猛烈的反扑。

3、18岁儿子游戏成瘾吞药，父亲起诉四家游戏公司索赔10元⑦ ：和儿子常年分隔两地 没手机怕联系不上他

主力阵型采用3-4-3防守反击体系，实战中经常收缩为5后卫。

4、朱珠年初三给家中老人拜年，去干休所看亲奶奶，同框照好温馨

01.云业务撑起增长故事，资本开支计划突破2000亿 从核心财务指标看，谷歌Q2主营业务交出了一份超出市场预期的答卷。

5、单杆147闪耀深圳！常冰玉五局豪取胜利 彰显拼搏精神

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。

豪华的基石投资者也成为市场焦点。

产能过剩对行业盈利能力的系统性压制仍在持续，龙头企业虽有余力，但全行业价格战和利润摊薄的压力并未解除。

6、近几年重制版游戏太多了？宫本茂认为这其实是好事

日本队只要打平就能确保出线，获胜还有机会争夺小组头名。

比赛重赛仅在体育规章明确规定的特殊情形下，或经主管机构裁决后才可能发生。

7、移民局新手探员培训42天乱开枪致人死亡

GP们果断转向冲向省级大母基金、中央企业或者链主企业。

决定魔笛是否留下的关键是新任管理层和主教练的态度。

8、小弟变魔王？特朗普怕内塔尼亚胡趁谈判定点清除伊朗外交官

模型公司集体下场造硬件的逻辑只有一个：必须把终端握在自己手里，用户关系和数据飞轮才不会旁落。

这位球员在小组赛阶段打入三球，成了摩洛哥阵中的进攻支点。

如今合同只剩一年，巴黎的兴趣让形势急转直下。

9、美媒排名：现役最强三巨头！新王登基！雷马三少掉队？

而西班牙主帅德拉富恩特则底气十足，试图用心理优势继续压制高卢雄鸡。

恩多耶扳平比分，恩博洛“无脑假摔”成比赛转折点 落后的瑞士队并未放弃，他们在下半场发起了猛烈的反扑。

10、7月21日·上海早新闻

比如，阿浩和朋友开店前“卧底”过的两家零食店，几年过去，依然开得好好的。

“原生家庭”“依恋模式”“创伤”，负责解释过去：我为什么会变成今天这样。

1、山东男篮下赛季冲击四强！除范子铭外，还在追求一位全明星球员

葡萄牙队的折戟止步16强，本质上是战术体系与球星功能之间的结构性内耗。

2、最后一只靴子落地，长鑫科技敲定7月27日挂牌

目前看来，米兰寻锋主要会采取三种方式，不过受限于新的管理层和教练团队都还没有组建起来，部分目标已经开始远离。

3、在瑞士表展戴60块绝美女表，梦中情表竟然是…

综合来看，英格兰纸面实力明显占优，年轻体能充沛，阵容深度优势巨大，正常发挥赢面更大；但克罗地亚大赛属性极强，莫德里奇的中场控制力不容忽视，韧性十足的防守体系完全有能力逼平对手。谢贤临终细节曝光！昏迷前苦撑3天等霆锋，留最后一句“照顾好两个仔”（图片系AI生成） 7月24日，广安爱众（600979.SH）股票低开低走，截至收盘报3.79元/股，跌6.65%。

4、被CBA多队哄抢！米切尔被曝没有续约广州男篮，加盟广东成首选？

不过墨西哥的中场控制力一般，面对强队可能被压制。

5、“黑人外教，也值得炫耀？”一家长被嘲：你敢让他这样抱你女儿？

随着法国队的黯然出局，西班牙队已经成功拿到了决赛的门票。

6、落井下石？梅西丢冠后，沙特联官方立刻发C罗照片，并附上山羊图

大二上的秋天，别急着投，先把内功练起来：想清楚方向，动手做 1 个小项目，把简历初稿写出来。

现在回头看，能拥有第一天相遇时的那些照片，真的很特别。

他举例表示，“在实际市场运行中，红熊AI的营销获客产品正是基于市场投流线索量暴增而来的。

7、动海报｜这份山洪避险口诀请收好

随着西班牙在决赛中1比0击败阿根廷，队内三名大将库巴西、罗德里和乌奈西蒙各自将个人荣誉收入囊中，而本届赛事金靴奖则由法国前锋姆巴佩摘得。

此前，阿森纳已将因卡皮耶的租借转为永久转会，并出人意料地免签了门将梅利耶。

8、“这面相，进厂都没人要”，女大学生印堂发黑，求职5年处处碰壁_网易订阅

阿根廷与西班牙的巅峰对决，不仅是一场关乎大力神杯归属的生死战，更是一场充满宿命色彩的史诗对决。

不过随着马雷斯卡接任曼城主帅，加上B席离队、萨维尼奥和马尔穆什可能出走，福登下赛季仍存在重新获得主力位置的机会。

据英格兰天空体育新闻报道，米兰已联系了伊劳拉的团队及代表，以试探其接手球队的可能性。

在俱乐部层面，他上赛季效力于德甲弗赖堡，各项赛事出场47次，贡献7球9助攻，目前德转身价已高达5000万欧元。