在这样的一个背景下，投资者纷纷用金钱投票，来表达对于特斯拉的疑虑——7 月 23 日美股开盘后，特斯拉股价迅速下拉，盘中跌幅一度超过 15%，收盘时跌幅为 14.52%，创下了自 2025 年 6 月以来的单日最大盘中跌幅。

1、迈博体育 渠道商替品牌完成市场教育，也意味着替品牌降低了摆脱渠道的成本。

对阿莫林来说，季前赛显然非常重要。迈博体育这不仅是一笔简单的合同延长，更是利物浦在新时代重建道路上，成功锁定了最关键的基石。

2、健康日历

首场比赛定于7月25日在格拉斯哥进行，对手是苏超霸主凯尔特人。

3、整个衡山都不能网购榴莲、车厘子！一男子用AI伪造高价水果变质图要求“仅退款”，连累全县被平台拒发货

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。

4、为什么“假药”也能止痛？ 相信相信的力量！

哥伦比亚的阵容同样不容小觑，他们世界排名第14位，全队身价接近3亿欧元。

5、屡失良机乌拉圭，出线已然成濒危

梅西带着阿根廷负重前行，好在两大前锋劳塔罗和阿尔瓦雷斯都很能跑，瑞士也是消耗巨大，两支消耗很大的球队相遇，阿根廷的阵容更胜一筹，梅西充满无限可能性。

根据规划，诺坎普球场的屋顶安装工程定于2027年6月启动，这是球场重建项目的核心阶段。

而且，利物浦的成功不仅仅是因为模式好，还因为他们在正确的时间遇到了正确的人——克洛普的七年执教是利物浦复兴的关键。

6、随着意大利2-5波黑+捷克5-3丹麦！世界杯再增四席:瑞典土耳其晋级_网易订阅

首轮2-1逆转捷克，场面全面占优，62%控球率与15次射门体现进攻主导，0-1落后情况下3分钟连入两球展现强大心理素质。

对大多数公司而言，成为这条链上不可或缺的一环，远比自建一个资源交易入口更具价值，风险也更低。

7、皇马8.27亿首发大变脸：穆帅回归皇马 姆巴佩还能不防守吗？

利好在于，低价带正在变成行业主引擎。

常规时间最后一击，亚马尔主罚任意球射得太正，马丁内斯飞身向左将球扑出底线。

8、毛主席有多聪明？秦基伟吐露：在主席面前，我跟曾绍山不打自招了_网易订阅

现货黄金应声跌破4050美元/盎司，此前一天，金价刚经历了一场从4141美元/盎司高点的急速坠落，12个小时内跌去超90美元。

” 接下来，法国队将在周日的三四名决赛中对阵英格兰或阿根廷。

在为米兰效力7年后，莱奥当前与球迷的关系也降至冰点。

9、一个顶级心态：不吃压力

谷歌在 2016 年公开 TPU 时，外界对它的理解还很简单，这是一颗为了深度学习而生的专用芯片。

“我性格更外向，喜欢主动施压；而拉马尔更沉静，习惯按自己的节奏踢球，就像在街区公园里玩耍一样自如。

10、补时2球+点球决战！利兹联6-4西汉姆 足总杯4强诞生 黑马搅局豪门

拓竹重新评估后发现，这个冷门市场同时具备几个条件：规模不算大，但用户体验很差；产品足够复杂，有技术门槛；传感器、算法、运动控制和供应链能力，已经提供了“把产品再做一遍”的机会。

当然，米兰引进努涅斯也要冒一定的风险。

1、重庆口水姐上热搜，网友已向警方举报，媒体也跟着谴责

尤文图斯典型的例子包括库普梅纳斯和道格拉斯·路易斯，两人花费近1.1亿欧元，还有尼科·冈萨雷斯、劳埃德·凯利以及奥蓬达，后者本赛季34场比赛只打入2球，租借费略超300万欧元，强制买断费4000万欧元。

2、不卷coding，卷原生多模态世界模型：智象未来拿下15亿C轮融资？

世界杯淘汰赛，西班牙先是3-0大胜奥地利，再是1-0小胜葡萄牙；比利时先是3-2险胜塞内加尔，再是4-1横扫美国。

3、当“三胞胎”的印记淡去，改名便能沦为洗白的通行证？哪怕涉毒？

“散装零食都做成了很小的包装，所以我拿的时候，不会纠结多少钱，每样几块钱，堆在一起就两三百了。12小时大定15318台！全新坦克300上市，19.98万元起，提供三种动力此刻，“吃乐事，看赛有乐事”不再只是一句传播口号，而是真正成为消费者可感知、可参与、可分享的品牌体验。

4、“两优一先”风采录｜基层“兵支书”——杜帅

在美国，Neuralink靠柔性电极丝深入大脑皮层追求高信号通量；Synchron走血管内路线，电极顺着血管进入大脑以避开开颅手术；Precision Neuroscience采用贴附脑表面的超薄电极阵列；Paradromics主攻高带宽神经信号与语言解码；Blackrock Neurotech依托成熟的犹他电极阵列，沉淀了业内历时最久的人体植入临床研究数据。

5、世界杯闷热天气或搅局：传控更省体能，长传赌泥泞，胜负全看天！

长期主义沉淀“看赛”品牌资产 从更长的时间维度来看，不难发现乐事对“观赛场景”已有长期的深耕。

6、只想随便聊聊，却遇见了一个让我放不下的人

作为米兰近几个赛季的核心进攻手，莱奥效力球队8年间累计出战291场，贡献80粒进球和65次助攻，排在俱乐部队史射手榜第15位、助攻榜第6位，是红黑军团重返意甲争冠行列、拿下21/22赛季意甲冠军的核心功臣。

上一次，是2010年南非的约翰内斯堡，伊涅斯塔的绝杀为西班牙足球加冕。

把分散的环节组织成这个结果，才叫算力服务。

7、6500万英镑！热刺签曼城边锋达全面协议 溢价超2倍诚意满满

5月底，AC米兰官方宣告首席执行官富拉尼、体育总监塔雷、主教练阿莱格里和技术总监蒙卡达卸任。

54号文明确指出：政府投资基金和国有企业投资基金出资人责任落实不到位，县区原则上不得新设政府引导基金。

8、足坛第一“幸运儿”？三年连夺四座世界级奖杯，外加转会皇马圆梦

工程师每周跟客户开会，甚至直接驻场。

第一个行动的是吉达国民。

这一辉煌数据主要由四位核心球员贡献。

眼下最后一道坎已经跨过。