普通家庭不是这样。

1、V体育 Anthropic在和OpenAI竞争中的后来居上，以及MiMo-V2.5、GLM5.2、kimi K3的调用量增长，都能验证这个判断。

英格兰队惊险逃过一劫。V体育据《米兰体育报》消息，红黑军团即将在接下来的一周内解决空转问题。

2、思考人生？这世界杯射门太离谱：近在咫尺的空门，瑞士球员竟打偏

如果一笔交易只有10%概率出现大收益，连续十次都亏损的概率是0.9的十次方，约为34.9%。

3、顶级巨星格局！费迪南德称赞姆巴佩：放弃单打独斗，优先成全队友

算力越堆越多，能用的却越来越少。

4、大冷门！巴拉圭点胜，耻辱：德国队连续3届世界杯未能晋级16强

名字取完，路还是得自己走。

5、31号种子vs35号黑马 基茨比厄尔公开赛男单八强今日开打

在产品方面，Wagas Skagen也带来了专属的北欧风味菜单，门店限定的7款定制化产品，如饮品“北欧冰川”、“Skagen浅滩”酸奶碗等，不再只是简单的“健康补给”，而是一场关于远方的味觉旅行。

然而，8年未能再次将冠军奖杯刻上名字的他们，连续两届世界杯杀入决赛，法国队一冠一亚，如今杀入2026世界杯四强，是夺冠第一热门球队，高卢雄鸡正承受着“大热必死”的沉重枷锁。

从国家队队长到安菲尔德的新王，索博斯洛伊已经做好了接班范戴克、戴上队长袖标的准备。

6、CBA每日新闻：韩德君回辽篮，余嘉豪结束留洋，张镇麟新合同曝光

它只是个信号——提醒我们，该为自己多操一点心了。

粗略估算引援投入，拉莫斯约7500万、吉拉约3000万、左翼卫约5000万、中场约5000万、前腰约4500万，总计约2.5亿欧元。

7、斯卡洛尼7.5分！阿根廷全队打分：梅西+劳塔罗排前二！4将不及格

阿莱格里不排除尝试让里奇踢莫德里奇的位置，作为一个更偏防守的选择。

中国锂电产业，正在经历一场从野蛮扩张到理性竞争的“成年礼”。

8、腾讯317万年终奖员工因泄密被辞退

事实上，梅西的商业版图远比外界想象得庞大。

当比赛结束，无论你的主队是即将加冕两星的西班牙，还是成功登顶四星的阿根廷，球迷们都会迫不及待地更新自己的装备库。

但真正让人忧心的，是场外那些事——它们勾勒出的，是因凡蒂诺治下世界杯的未来。

9、冲突，于根伟怒指主裁+染红！天津津门虎雪上加霜：保级真难了

综合各方面因素来看，这场比赛双方实力接近，埃及凭借锋线双星的个人能力略占优势，但澳大利亚也有爆冷的可能。

面对沙特方面开出的丰厚合同，这位曾被视为巴萨未来希望的左脚将，最终选择了在职业生涯的巅峰期前往中东“淘金”。

10、印度队7连败后首胜，队长Shreyas Iyer：不能再更开心了

上半场第25分钟，姆巴佩在禁区内制造点球，但亲自主罚却被摩洛哥门将布努神勇扑出。

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。

1、外交部副部长马朝旭访问美国

作为2018年与2022年的连续两届决赛参与者，他们距离“三星法国”仅一步之遥。

2、真不为了钱，交易杰伦布朗，是凯尔特人一次成功危机公关

相比之下，在运动鞋服领域，耐克集团在中国的主要品牌只有Nike和Jordan，其缺少相对轻奢亦或是更为大众化的品牌进行对冲。

3、阿隆索：F1赛车若给不了肾上腺素，我将重新考虑未来

时钟上，相隔十分钟。前UFC冠军的B面人生：肩伤夺走擂台，34岁她开网约送外卖谋生字节跳动和努比亚合作的第一代豆包手机M153，以3499元限量发售了3万台工程样机。

4、国安晋级足协杯8强，张玉宁+贾非凡破门，海米提别用了，大连可为虽败犹荣

马竞不盲目追求超级巨星，而是致力于培养“硬仗型球员”。

5、赛里木湖景区：深感痛心、深感自责、真诚致歉

2026年5月单月，中国动力电池装车率降至约38%。

6、津巴布韦队长赛后开喷：场地太湿没法打，我们需要一块更平的球场

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。

赛前，亚马尔的一番表态显得颇为大胆，但在巴塞罗那俱乐部并肩作战的孔德看来，这并非不尊重对手。

赛后的紧张气氛并未随着终场哨响而消散。

7、中国以前借钱来打仗，按照现在的经济，中国打得起中美大战吗

朋友在纸上补了行公式：期望值＝胜率×平均盈利－败率×平均亏损 第一种期望值是：90%×1－10%×20＝－1.1元。

把所有线索放在一起，谷歌面临的真正问题浮出水面：作为资本开支最激进的AI公司之一，持续高额的投入到底能不能带来实际收益，至今没有被验证。

8、1-1，川渝德比握手言和 姚浩洋多次贡献神扑 成都不会攻坚战2轮不胜

球队防守端还算稳健，三场只丢1球，但进攻端效率不稳定，面对密集防守时容易出现控球多、威胁少的问题。

但当情绪也被命名为一种“价值”，关系便很容易滑向供需计算：谁提供，谁索取；谁接住了我，谁没有托举我；和一个人相处舒不舒服，像是在评价一项服务。

他完成四次解围——全场最多——五次地面对抗赢下大半，传球成功率更是惊人的98.8%。

除上述情况外，公司当前其余生产经营活动正常，市场环境、行业政策未发生重大调整，内部生产经营秩序平稳。