但对手南非下半场少打一人，墨西哥进攻效率仍有提升空间，16次射门仅4次射正。

1、英亚电竞 泡泡玛特已经把美国市场当成了头号增长引擎。

并且众所周知，他们才是事实上的新科非洲杯冠军，尽管最终被剥夺了资格。英亚电竞中国模型不再以低价换市场，而是以 Tier1 性能匹配 Tier1 定价。

2、为执教广东队铺路？广州外教米切尔没有续约，或被朱芳雨重金挖走

两类能力并不相同——前者熟悉复杂计算平台的建设、优化和应用环境，后者拥有覆盖全国的基础设施和计费客服组织——实际业务中，二者往往互为补充。

3、梅西又创历史！世界杯助攻上双第一人，21+10“两双”达成

图：2026年7月20-24日ICE布伦特原油期货（9月合约，BRNU26） 与伦敦金现价格走势叠加图 来源：Wind 三重逆风共振压制金价 金价从4141美元到4050美元的背后，是三股力量的合力。

4、丢人！上海阿根廷球迷在警方面前公然挑衅 模仿猩猩种族歧视黑人

从概念炒作到系统重构 2023年，AI手机的概念刚刚被提出时，主流手机厂商的反应出奇一致，并且迅速跟进，掀起一轮营销热浪。

5、战报

尽管阵中汇聚了众多顶级球星，但主教练马丁内斯未能建立起清晰的球权秩序。

瞄准这一需求变化，在中高端产品线站稳脚跟的华为，如今也在加速抢占千元机市场。

许多产品被诟病“接入豆包、元宝、DeepSeek就能实现”，本质上只是语音助手的“萌版”。

6、广州近视手术哪家医院好？越秀区公立博导眼科完整测评

大电芯方向已定，剩下的只是各家量产速度的比拼。

” 罗马诺接着说，“我得到的消息是，上周末关于阿森纳介入的报道，目前并不属实。

7、vivo正式发布Vision MR头显探索版，8月22日开放线下体验

特林康的这笔转会，无疑是他个人职业生涯的重要转折点。

从巴萨的角度来看，这是一个情感复杂的夜晚。

8、13位艺术大师17幅天价名作，每一幅都价值连城！

最大牌的是埃梅里，但伊布想要签下他几乎是天方夜谭，西班牙主帅刚刚带领维拉夺得欧联杯冠军，本赛季还带队取得联赛第4，俱乐部为其开出的年薪高达千万欧元。

” 弗里克的爱将：全能属性与战术服从 作为主帅汉斯·弗里克麾下的多面手，埃斯帕特曾被比作德国传奇拉姆。

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。

9、挖宝！这10件可爱实用的小物件儿，让我家质感翻倍

而将需求与供给的张力推向顶点的，是全球结构性缺口的确立。

然而，随着赛季临近尾声，有4名在外租借球员的情况并不乐观。

10、59岁王祖贤在加拿大过年！豪宅首曝光厨房狭小，和朋友一起包饺子

格拉斯纳善用3-4-2-1阵型，喜欢高位压迫和快速反击并举的打法，非常具有观赏性。

半决赛的出局，让姆巴佩的2026年世界杯之旅画上了遗憾的省略号，无缘决赛只能参加季军战，更是被刚19岁的亚马尔完成了对姆巴佩的“九擒”，但这并非失败的烙印，而是成长的养分。

1、CBA超级中锋回归

两人都将在八月下旬归队，缺席赛季前的大部分热身。

2、日子过久了才发现，最该断舍离的是这8样东西，让房子越住越大！

从上任后的训练情况看，在阿莫林的战术体系里，米兰已经从阿莱格里时代常见的低位防守转为同步化前场压迫，丢球后必须在5到8秒内完成反抢，目标是把对手的球路驱离向外线，封堵向内传递通道，迫使对方开大脚。

3、离婚14年后，演员车晓现状曝光：1人住北京大别墅，44岁单身未育

这套沿用多年的商业模式，如今彻底陷入无解闭环：死守固定男主、迭代常规剧情，只会迎来玩家审美疲劳、流水持续下滑；尝试新增角色、创新人设，又极易引发圈层对立、舆论翻车；依靠暧昧尺度、情绪刺激拉动消费，更是时刻踩在公序良俗与监管的红线边缘。AMD 发布 X100 机器人芯片，号称性能碾压 Intel，但对比数据需“加一大勺盐”当然，克罗地亚也有自己的问题。

4、ETF密集拆分背后的流动性暗战

那些完成了技术储备、打通了全球合规、建立了品牌护城河的企业，成年礼之后将是更广阔的星辰大海。

5、效果图亮相，21号线改道，6万人上海大巨蛋，真的要来杨浦了？

虽然属于不同赛道，它们的底层逻辑颇为相似：人类最自然的非文字表达方式，长期被专业壁垒所禁锢，且具备从数字内容向实体硬件延伸的属性。

6、夺冠大热稳了！法国小组赛强势突围，暗藏短板，或16强激战德国

锋线上39岁的梅西第6次征战世界杯，首轮便上演帽子戏法，以16球加冕世界杯历史射手王，状态正值巅峰。

NaviX Ultra整体备货约20万台，不再是限量发售的“工程机”。

”他强调，西班牙队不会因对手而改变自身打法。

7、淮南师范学院“循迹安徽”实践团行走纪实

2022年卡塔尔世界杯决赛，马云又去了现场。

需要指出的是，随着耐克对渠道改革的不断加码，未来是否会收回经销商的线下销售权，仍存在不确定性。

8、AI Coding成功率88%，科研仅3%？「科研是下一个Coding」，还差关键一环

6月29日，该矿获批安全生产许可证，7月7日信用中国官网完成公示。

而那个本该让它提前二十年登顶的钥匙，早在1996年就被它亲手扔掉。

弗里克追求战术多变性，类似于巴黎圣日耳曼那种位置可互换的锋线组合，而戈登和阿德耶米都能提供这种特质，同时也擅长跑身后空当。

算力的性质从一次性采购的固定资产，转变为持续性的运营支出。