但随着夏窗推进，英超方面始终没有实质性报价落地，曼联仅处于初步询价阶段，切尔西已签下罗杰斯也可以排除在外。

1、kok网页版 Momenta是一家深耕L2级辅助驾驶方案的智驾公司，主要收入来源于软件与服务。

正如上文所言，随着三大海外存储巨头持续缩减NOR Flash、利基型DRAM、SLC NAND等利基品类产能供给，直接造成细分赛道持续缺货。kok网页版有些传承，不需要太多言语。

2、上半年经济数据发布，释放哪些信号？

"我感觉自己掉进了一个无底洞。

3、木质船体14英尺小艇待拍：搭载非运行状态35马力舷外机，无底价

2026美加墨世界杯F组即将迎来最后一轮较量，日本队与瑞典队将在达拉斯体育场直接对话，争夺小组出线名额。

4、全网征歌！大连儿童友好城市主题曲

“他们擅长串联配合，更能精准预判传球方向完成拦截。

5、致癌阴影下的“中产货币”，Lululemon如何缝补信任裂痕？

终结渠道碎片化，打造统一品牌生态 有媒体报道，耐克方面已与大型一级经销商进行了一对一沟通，包括滔搏、胜道、锐力等在内的大型经销商已知晓该意向。

当前，米兰技术团队已经圈定了三位候选者，他们都是能适配边前腰属性的年轻人选。

亚洲区大洗牌：印尼入围，国足位列第13 在亚洲区12个名额的预测名单中，传统强队日本、韩国、伊朗、澳大利亚、沙特、卡塔尔以及乌兹别克斯坦、伊拉克、约旦毫无悬念地占据一席之地。

6、1973年科尔维特C3搭载L82 V8与四速手动变速箱待售

而在这场关键对决中，35岁的凯文·德布劳内能否登场，已成为比利时国内舆论争论的焦点。

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。

7、仅积3分深陷降级区！保级队主帅被球迷拉横幅要求下课

阿莱格里对科内十分感兴趣，已经两次向管理层推荐加拿大人。

除此之外，名单上还有多特蒙德的吉拉西、利物浦的努涅斯以及阿森纳的热苏斯。

8、乌克兰基辅夜间传多次爆炸，公寓楼与商场遇袭

到了今年这次世界杯，情况突然变了，各行各业的大佬集体"出差"。

公司2026年1月1日成立，半年累计融资5.7亿元，刷新了中国脑机接口领域的早期融资纪录。

沙特方面状态呈明显上升趋势。

9、鲁能本轮完败大连英博！为何只有王大雷能得到球迷认可，引发热议

为了迎合新帅阿莫林的三中卫体系，AC米兰管理层正在按照要求对后防线进行优化调整。

欧预赛阶段更是8战全胜，打进22球且零失球，攻防两端展现出统治级表现。

10、不常看球却看懂双骄！特朗普谈梅罗：一人天赋异禀，一人自律长青

那是一段令人窒息的保级之旅。

这就是市场所称的“以债抵债”，而以债抵债容易掩盖资金真实流向。

1、宿茂臻真敢吹！联赛保三争一，杯赛进决赛 球迷：踢大连别拉坨大的

赛后，德国转会市场网站按照惯例对赛事中表现抢眼的99名球员进行了身价更新。

2、算力驱动量化新变革：九方智投“股道领航·九方智算”依托超算赋能大众投研升级

主教练方面，球队先后经历了皮奥利、丰塞卡、孔塞桑、阿莱格里4名主帅，如果错失下赛季欧冠资格，也不排除今夏再度换帅的可能。

3、FIFA的“区块链赌局”：谁在世界杯预测市场背后获利？

Perplexity成立于2022年，由前OpenAI、前谷歌DeepMind工程师创立，主打“对话式搜索”，2025年9月完成2亿美元融资，估值约200亿美元。难逃宿命！郑钦文又双叒又不敌“苦主”西尼亚科娃，温网连续四次“一轮游”发起请愿，你得有自己的私人飞机，你不该受这种罪。

4、卡塔尔世界杯半决赛重演：友谊第一？晋级第一！

虽然没有收获进球和助攻，但预期进球1.35粒，预期助攻2.52粒，在场均出场时间不到50分钟的情况下还算及格。

5、尤文引进布拉欣-迪亚斯困难重重，37岁马蒂奇进入尤文考察名单

北京时间7月15日凌晨3时，2026年美加墨世界杯首场半决赛落下帷幕。

6、烟台市委常委、副市长李金涛接受纪律审查和监察调查

然而，随着财年截止日的过去，巴萨已无需为平账而急于出售球员。

从历史交锋与心理层面来看，西班牙队近年来在面对法国时展现出了极强的战术克制力，近五次正式比赛交手赢下三场，包括2024年欧洲杯半决赛的逆转淘汰。

对于天齐锂业而言，当下只能静待本轮周期继续回暖，但这个等待的过程，注定煎熬。

7、阿根廷足协否认主席被美国法院传唤：这是彻头彻尾的假新闻

他举例表示，“在实际市场运行中，红熊AI的营销获客产品正是基于市场投流线索量暴增而来的。

第九座金球奖，不仅是个人荣誉的极致加冕，更是对这位不老球王最完美的致敬。

8、从确诊到开台手术仅耗时40分钟，岳阳广济医院多学科协作救治车祸肾破裂伤者

最后是客户账—— 算力中心建成那天，设备不会自动产生收入。

谷歌有60天的时间公平对待竞争对手，并允许应用开发者引导用户离开其应用商店。

维蒂尼亚和若昂·内维斯搭档双后腰，既能防守拦截又能出球组织，保证了中场的控制力。

世界排名第二的西班牙队由罗德里坐镇中场，不仅掌控着极致的传控节奏，更创下了连续649分钟不失球的历史级纪录。