2017年，觅光完成由小米科技、顺为资本领投的Pre-A轮千万级融资，正式纳入小米生态链体系。

1、亚娱体育 当时瑟洛特与哈兰德形成了绝佳的二打一机会，但瑟洛特在犹豫中选择了自己强行射门，最终被英格兰后卫封堵。

这给了皇家奥维耶多机会。亚娱体育然而主帅图赫尔在领先后过早转入防守，主动让出中场控制权，导致球队持续承压。

2、这件衣服支配了贵族100多年，现在普通人也能随便买

“HWG！”当知名记者罗马诺用标志性的口号确认这一消息时，整个足坛为之沸腾。

3、世界杯封神也没用！利物浦逼宫清洗功勋！6000 万甩卖冠军神将

更值得关注的是GP们赖以生存的国资母基金。

4、费德勒温网观战八强赛，男单下半区谁能突围？

北京时间7月19日凌晨5点，2026美加墨世界杯季军赛将在迈阿密硬石体育场打响，两支赛前夺冠热门法国与英格兰狭路相逢。

5、勇士有意浓眉？名记爆料管理层已询价 奇才直接拒绝

第三，它掌握着决定服务质量的关键环节。

罗马已经关注了波黑人很长时间，除了红狼军团外，亚特兰大、纽卡斯尔、阿斯顿维拉都在关注球员表现。

”李攀表示，中长期而言，征税将抬升锂电全生命周期成本，测算显示2%与4%税率分别等价于碳酸锂成本抬升约1-1.2万元/吨与2-2.4万元/吨，这将加剧二三线电池厂生存压力，加速落后产能出清，并倒逼需求向免税的钠电、固态电池迁移，远期锂电需求空间受到挤压。

6、当代集团被罚1000万，涉违法提供融资等

其中提出，鼓励发展Token（词元）经济。

Vega则说明市场从紧张恢复平静时，期权会不会即使方向正确，也因为隐含波动率下降而缩水。

7、4000万“对赌”AI机场：汉中收获新增上市公司？

眼下，围绕这位前锋的转会流言不会消散。

同时摩洛哥的战术风格天生克制传控型球队，面对巴西的进攻节奏能够完美适配、针对性限制，极大程度可以抵挡五星巴西的猛攻，有希望逼平对手。

8、高芙被赞体面人火娃登顶无悬念？奥胖集齐大满贯金花提前进决赛

摩根士丹利预测，五大云厂商2026年资本开支将达到8050亿美元，2027年进一步升至1.116万亿美元。

即使是传统行业的CTO、CIO，对AI产品的理解和需求可能领先新加坡、日韩半年到一年的时间。

大厂暑期实习通常在前一年底到当年春季开放，很多人就是这阶段拿到了大三暑假的 offer；错过这波，就得等秋季。

9、詹姆斯去哪悬而未决 库明加无人问津 火箭请来投篮怪医

即使这套策略期望值是正的，但投资者仍然有超过三分之一的概率，前十次尝试都会以亏损结尾。

再到大三下，最后冲刺：还没经历的抓紧找一段能写进简历的，已有经历的冲 return offer 或更好的暑期岗，给秋招铺路。

10、闹剧收场！王毅外长马尼拉一锤定音，菲大使被约谈，10国划清立场

在这个充满变数的转会窗，利物浦曾痛失萨拉赫与科纳特，但索博斯洛伊的续约，无疑是定海神针般的存在。

赛后，他在社交媒体上写下了令人心碎的感言：“任何言语都无法驱散胃中那种空落落的感觉……我们努力了8年，却始终差最后一步。

1、当代人的悦养，需要一场“主动的慢”

这是国内第一次对“手机端侧AI”进行集中备案。

2、Jeep预告新款Cherokee Trailhawk 外观越野属性升级

家庭场景最具想象空间，但也最难验证。

3、生涯仅11.7分，几乎没有荣誉的他，却在23年后，迎来球衣退役殊荣

" 乔哈特的言辞更加激烈："索斯盖特在英格兰的关键时刻挨了不少批评，说他在比赛里太早开始防守。盘点｜那些折返镜头之最” 那么，超节点到底有多“超”？ 华为在WAIC上首次公开展出了昇腾950超节点真机，它由16台计算柜拼接而成的巨型阵列，1024张算力卡密集嵌入，这是目前业界公开的最大规模超节点。

4、张镇麟转会费超5000万；上海队曾询价赵睿、周琦，但不愿支付溢价

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、首钢队放弃麦基，新签广厦大外援桑普森；赵嘉义加盟北控

今年以来，国家新闻出版署累计发放游戏版号1147个，包括1110款国产网络游戏和37款进口网络游戏，版号发放保持每月一次的常态化节奏。

6、橡木桶中的世纪回响

边路冲击+中路巴尔韦德的后插上远射是主要得分手段，努涅斯的冲击力则负责撕开对手防线。

对于上赛季中场控制力下滑的米兰而言，埃德森正是理想的后腰人选。

不过，现阶段仍然有很多工作要做，比如异构GPU架构的适配，以及更多生态伙伴共同支持。

7、园区配套全能枢纽：以多元空间，赋能企业成长

为了最大化梅西的威胁，阿根廷全队甘愿付出更多的跑动来弥补体能和覆盖面积的不足。

还有两场比赛要踢，或许我们的关系可能结束，但我们相互之间的尊重将永存。

8、朱婷穿特殊定制衣服显超模范 自评"高冷的瘦子"

在战术层面，他是主帅最信赖的“万金油”。

在这场举世瞩目的较量中，除了巴萨两代超巨的直接对话，西班牙媒体《马卡报》敏锐地捕捉到了一个令人惊叹的巧合——数字“19”正以不可思议的方式，将莱昂内尔·梅西与拉明·亚马尔紧紧相连，好比是漂亮足球的传承。

” 事实上，图赫尔本人在32强赛击败刚果民主共和国后，曾详细谈及赖斯的身体状况。

”本周四，英格兰队将在世界杯半决赛中迎战阿根廷，这场对决被视为本届赛事迄今最具火药味的较量。