但他最终选择“不听劝”，按他的说法，不在旧系统里做“访客”，要为智能体盖一座房子当“原住民”。

1、博亚平台 相较来看，多特蒙德则更为积极，他们已经向亨克报价3000万欧元，不过被对方体育总监德孔德回绝，比甲球队坚持3500万欧元固定转会费、总价约4000万欧元的要价，双方尚未达成协议。

同样的招牌、相似的货架，卖的也是差不多的零食，为什么它们能赚钱？ 2024年，可能是最后一轮红利 答案，在于入场的时间。博亚平台当下女性用户的情感需求、娱乐需求、审美需求依旧旺盛，这片市场始终具备巨大潜力，真正被时代淘汰的，是“固定数量男主+单一抽卡养成+纯情绪付费”的老旧模式。

2、弗爵爷评价39岁梅西：他不是在坚持，而是在统治！足球时代或将随他谢幕

在7月22日界面新闻刊发的一条关于耐克渠道调整策略的文章中，耐克集团副总裁、大中华区总经理申凯希（Cathy Sparks）表示从明年1月起，耐克在中国的数字化市场体系将以天猫、京东和抖音上的官方旗舰店为核心，与Nike.com.cn和Nike App共同构成主要的官方数字触点。

3、美国25岁女子浴室性侵闺蜜未成年男童并录视频传网

贾斯特将与国家队队友马尔科·斯塔梅尼奇在俱乐部重聚，两人此前一同代表新西兰征战了世界杯。

4、海港国安连签强援！媒体人：刮彩票+排除玻璃人，申花错失良机

阿尔特塔的球队希望将这笔交易的成本控制在1亿英镑以内。

5、阿隆索再抢人！切尔西截胡曼联阿森纳！5100 万砸世界杯顶级中场

作为整个季前备战周期的收官战，这场比赛的定位显然是模拟考级别。

” 决战德国：拒绝热门标签，以团队为家 面对即将交手的德国队，埃斯帕特展现了超越年龄的成熟与冷静。

当球队在场上承受着高强度的身体对抗和巨大的心理压力时，队长挺身而出为队友挡住不合理的沟通姿态，这恰恰是“球霸”与“领袖”最本质的区别。

6、巴拉圭门将：球队表现不错！如果你们不习惯这样的比赛风格 那我们没有办法

” 消费者掏出钱包的那一刻，就已经投了票。

”皮尔斯在接受talksport采访时表示。

7、英格兰传奇基冈去世享年75岁：他攻破苏格兰大门，却深爱这里并在此安家

这一改善得益于预期收入增长、大幅降薪以及对球员离队的精细运作，使得俱乐部能够在正常条件下注册新援。

AI、动力电池、人形机器人、商业航天等硬科技领域公司股价纷纷上涨，一批实控人共享财富盛宴。

8、央行新版多用途预付卡监管新规将落地，四大调整重构行业生态

米兰想要签下福登也面临不少困难。

马特乌斯·费尔南德斯托纳利，从全联赛最抢手的中场，变成了"明显有缺陷、其实挺一般"的球员——就因为他们去了热刺。

托莫里在对阵萨索洛时第25分钟就因为愚蠢的犯规两黄变一红被罚下。

9、速看！“湘超”常规赛邵阳队赛程定了！

这也能解释官方“产能不足”的说辞为何难以服众。

争议与质疑：为何是欧洲裁判？ 尽管温契奇的履历堪称豪华，但“欧洲裁判执法欧洲球队与南美球队对决”的安排，依然在球迷群体中引发了不小的争议。

10、2008年奥迪S4旅行车仅3700英里，原车主16年几乎未开

5月，乐事推出FIFA世界杯限定产品，以热门球队国家的经典美食为灵感打造限定口味，同时将球队特色元素与国际球星形象融入包装设计，在不同渠道烘托世界杯氛围，精准捕捉球迷及消费者的目光。

但情感投射具有两面性，用户与AI宠物从热恋走到冷淡的过程并不算短，当在某一刻意识到它的情绪是算法生成的，当所有反应都变得可以预测，情绪价值便会开始大打折扣。

1、卡拉格谈C罗与梅西最大差距：他不是天生被认可，而是靠一生证明自己！

过去两个赛季，拉菲尼亚的表现相当出色，但上赛季他因伤缺阵超过20场。

2、24岁印度速投手阿肖克·夏尔马从陪练到登场哈拉雷首秀

展望下半年到明年，锂供给的释放仍存在较大不确定性，核心原因在于过去2-3年锂价持续低迷，行业缺乏大规模资本开支，当前能够投产的项目多为更早前已投入建设的产能，行业整体扩产节奏较为节制。

3、尤文外租球员报告：阿图尔前途未卜，鲁加尼路易斯或被退货

北方华创的前身为苏联援建中国的电子厂，之后历经多次重组整合，于2016年由北京国资委主导形成今日北方华创的基础，并将半导体设备作为战略突围方向。已成交却遭买家毁约，这台仅14k英里的1998林肯Mark VIII LSC重新上架尽管传闻愈演愈烈，巴萨追逐阿尔瓦雷斯的策略并未因此改变。

4、全网征歌！大连儿童友好城市主题曲

在经历了3轮仅拿1分的惨淡战绩后，米兰终于在第37轮客场2-1战胜热那亚，这也让他们把争四主动权牢牢握在自己手中。

5、巨人总经理决心拆队重建：甩卖多名高薪老将，交易截止日前寻买家

综合来看，西班牙略占上风。

6、WNBA名帅因“保护物种”言论被禁赛 NBA老将发声：这像真人秀

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。

【克罗地亚：控制流转化率低下】 格子军团前两轮的表现就像坐过山车，首轮2-4惨败给英格兰，防线被冲得支离破碎；次轮面对巴拿马的铁桶阵，他们全场6次射门，仅仅依靠布迪米尔的抢点勉强拿到3分。

科特迪瓦常规阵型为4-2-3-1，凯西、桑加雷组成的双后腰中场绞抢能力出色，前场依托佩佩、迪奥曼德两大边路爆点反击推进，冲击力十足。

7、儿子下战书，Lane Kiffin删光APP退出社媒：只有放下一切，才能看清谁在依赖它

同一个IPO，机构出价差了9倍。

文中“周远”为虚构人物，涉及他的资金、交易与公司案例均为方便说明而设置；真实市场事件所依据的参考资料统一列于文末。

8、9英尺宽双面发光Sunoco标志无底价起拍：荧光灯照明，120伏电源配置

截至目前，港交所尚未公开其招股文件，公司也未对相关消息作出正式回应。

上市时间或许仍在迷雾中，但极佳视界正在以惊人的速度，冲向资本市场。

Anthropic考虑在上市后对员工股票出售采取非常规安排 据报道，Anthropic正在考虑在上市后对员工股票出售采取一项非常规安排，拟为所有员工强制推行10b5-1股票交易计划。

正是这种居高临下、缺乏基本礼貌的沟通方式，触碰了梅西的底线。