别只问给多少钱。

1、欧宝首页 哈兰德领衔的挪威队具备爆冷的冲击力，而瑞士队则向来以铁血防守和顽强的韧性著称。

我在巴萨首秀时踢边后卫，而在国青队则司职中场，这也是我在梯队时的老本行。欧宝首页英格兰方面，萨卡和戈登两大边锋状态很不错，加上状态火爆的凯恩和贝林厄姆，英格兰阵容实力和厚度还是要强于挪威的。

2、美国漫展“洗脚水”风刮进国内，二次元口碑遭重创，网友发问后怕

这位三个孩子的母亲在世界杯期间带着家人远赴美国，一路为三狮军团助威，直到球队末战力克法国拿下季军。

3、宁波FC2-3不敌无锡吴钩，主场首秀遗憾收场，保级压力继续放大

三期工厂于2025年底竣工后，锂精矿总产能从162万吨扩张至214万吨，并在2026年1月顺利产出首批合格产品。

4、CBA动态更新！上海男篮回应怀特塞德兴奋剂事件，北京男篮欲上诉要说法，李楠现身夏季联赛挑选外援，杨瀚森夏联首秀出色

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。

5、藏不住了，谢贤死因曝光，港媒曝他火葬内幕，难怪狄波拉哭红了眼

梅根和孩子们最终也扛不住了，在机场就地睡了一觉。

半年级别的验证。

他投资了华人创业者Cecilia Shen创办的AI影视公司Utopai Studios，助力这家估值已达10亿美元的公司打造AI影视内容。

6、山东女子学院与韩国建国大学首尔校区韩国留学本科定向培养班招生简章

绿茵场的胜负终有落幕之时，而梅西在科技行业的投资才刚刚开始。

中国信通院数据显示，目前国内智能手机平均换机周期已达40.2个月，接近三年半；另据IDC预测，2026年消费者的换机周期可能会进一步拉长到42个月以上，创下历史新高。

7、231㎡透天静宅：把自然与温柔色彩，揉进日常烟火！

刚刚在纽约大都会人寿体育场1比0击败阿根廷、捧起大力神杯的西班牙队，重新登上榜首位置。

其次，Anthropic也让模型创业公司有了校准自身商业模式的更好参照物。

8、秦志戬组建豪华教练团队，全力扶持蒯曼上位 女队三强格局正式形

AIDC储能需求的核心驱动力，是AI算力与电力之间正在发生的“结构性断裂”。

奥利塞在世界杯上送出最多助攻，身价上涨2000万欧元，以1.7亿欧排在第四。

排名照进现实，半决赛悬念拉满 四支顶级豪门的会师，完美印证了国际足联在抽签时为四大热门预留的独立晋级路径。

9、把思考折叠进序列：WeLM 617B MoE的隐式Scaling路径

从比赛走势来看，英格兰大概率会采取控球进攻的策略，而墨西哥则会稳守反击。

C罗六届世界杯仅有1个进球，还是点球；梅西已经独享世界杯“双王”，10助和21球分别领跑世界杯历史助攻榜和射手榜，梅西也是世界杯历史首位助攻和进球均上双的球员。

10、1200亿→2200亿美元！AMD重估AI时代CPU

科莫与尤文同积68分，但法布雷加斯的球队本赛季双杀后者，因此排在前面位列第5。

它不会说话，却用体温和眼神建立了连接。

1、2026泰中合作博览会在曼谷开幕

综合来讲，南美技术流打法在一定程度上克制非洲的身体流打法。

2、DAF卡车总裁Harald Seidel告别专访：“是时候开启下一个篇章了”

锋线上还从萨尔茨堡红牛闪签了奥卡福尔（1550万），此外还有泰拉恰诺（维罗纳，450万）、佩莱格里诺（普拉滕斯，380万）和约维奇（佛罗伦萨，50万）。

3、NBA夏联半决赛对阵：湖人vs勇士 灰熊vs火箭 湖人唯一4战全胜

例如2023年发布的小鹏G6全系首发搭载中创新航电池，而且还是其独家电池供应商，为其配套磷酸铁锂和三元锂电池两个版本。意外的欧洲青年财富版图：意大利青年的财富是德国同龄人的3倍据第三方机构Artificial Analysis的测算，Kimi K3单任务成本约0.94美元，与GPT-5.6 Sol的1.04美元接近，约为Claude Opus 4.8（1.80美元）的一半，价格带基本和海外头部模型属于同一阵营。

4、2026护颈枕材质对比实测：记忆棉、乳胶、荞麦、分区枕，哪种才是你的正解

瑞典队虽然锋线个人能力突出，但面对强队时的表现令人担忧，防守端的漏洞很容易被日本队的传切配合利用。

5、大家都以为《漫威金刚狼》反派是他，结果官方前传漫画把我整乐了

从谈判到官宣仅耗时极短，展现了曼联制服组在把握战机时的果断。

6、全球Token「印钞流水线」大升级，幕后推手Agentic Infra首次曝光！

但很少有投资者记得，仅仅十年前，这家龙头公司还深陷专利悬崖的泥潭，陷入“失去的十年”。

这里还藏着一个讽刺的闭环：耐克第一次推进DTC时，把大量库存压给经销商，他们为清货被迫降价甩卖，把价格体系打得粉碎，陷入低价内卷；而这一次，耐克以“控价”为名收回线上，理由恰恰是这场低价失序。

前两轮，加纳一球未丢！这可不是偶然。

7、蚂蚁爬进电脑显示屏“筑巢”，当事人：显示屏用了6年，桌面长期保持整洁；维修师傅称“难以彻底清除”

2019年出任北方华创董事长的赵晋荣，曾经讲过一句话： “北方华创最缺的不是能力，而是客户。

从营收来看，特斯拉在Q2 给出了近年来最好的交付成绩，以及高达 26% 的同比营收增速，而且实现了汽车、储能、服务三大板块全部增长；但是从利润来看，特斯拉的Q2 表现可以用「塌方」来形容，令人大跌眼镜。

8、中国网系回收刚成功，SpaceX就来碰瓷，还好当年的论文说清了所有

" 在大战阿根廷之前，队内头牌和主教练之间出现这样的裂痕，显然不是理想信号。

公司自己也承认存在“实际控制人及其近亲属与公司之间的多笔资金拆借”等多种财务内控不规范情形，并因此做了会计差错更正。

这意味着，投资凸性不能只看“赔率”，账户还要能活到右尾出现的那天。

接下来的七到十天对于米兰来说十分关键，朗尼克给或不给答复，伊布与卡迪纳莱之间能否找到权力分配上的折中点，以及俱乐部能否先找到“法布雷加斯风格”的主教练，都会在六月中旬逐渐清晰。