Q2谷歌Capex投入449亿美元，同比翻倍。

1、火博体育 局面因为巴黎的出现彻底改变了。

值得一提的是，C罗职业生涯从未与哥伦比亚有过交手，他曾9次代表葡萄牙与南美球队碰面，取得3胜2平4负，只在与阿根廷和厄瓜多尔的友谊赛上有过进球，最后一次破门已过去13年时间。火博体育综合来看，西班牙的优势在于阵容深度、战术体系完整性与防守稳定性，球队处于上升期且体能储备更充足；阿根廷的胜机在于梅西的个人上限、淘汰赛积累的逆转底气与大赛决赛经验。

2、一枚冰箱贴，基层治理“大作为”

正如趣丸科技副总裁贾朔所表达的那样，当普通人能够像拍照、拍视频一样自然地用音乐表达情绪、记录生活，音乐才会真正成为一种普惠的创作媒介。

3、戒烟的惊人效果！研究发现：戒烟10年以上，死亡率接近从未吸烟者

洛夫图斯-奇克和福法纳的离队概率则要高得多。

4、本田哪款SUV最可靠？外媒列出本田SUV可靠性排名，CR-V仅排第四

哈弗茨担任伪九号频繁回撤接应，依靠边锋内切和中场后插上形成多点进攻，首战6人进球印证了这一战术的成功。

5、欧洲6月热浪致粮食减产900万吨，法国预计受损最严重

布鲁诺·费尔南德斯和贝尔纳多·席尔瓦，一个擅长直塞和远射，一个擅长节奏控制和串联，两人轮换使用为葡萄牙提供更多战术选择。

下一步，米兰空缺的体育总监和技术总监这两个职位也不会再被填补。

6月底博睿康进入首轮审核问询，7月初又被中证协抽中现场检查。

6、夏日生态美景已上线！约吗？位置就在→

期权临近到期、Theta快速增加，或者隐含波动率下降，使投资工具不再适合承载原有逻辑。

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、夏天裙子不用太多！建议每个人都准备一条波点裙，优雅显气质

这种“想怎么踢就怎么踢”的从容，正是法国队作为本届世界杯最强球队的底气所在。

最终结果就是电芯鼓包、安全阀被冲开、电解液泄漏、铜排腐蚀。

8、UBS称美光能回购近半数股票，分析师：别急着动心

北京时间7月1日凌晨1点，2026美加墨世界杯1/16决赛迎来重磅对决，科特迪瓦对阵挪威。

德国俱乐部现在的态度很明确：低于1亿欧元的报价免谈。

尽管这份荣誉如今仍伴随着申诉的风波，但他在赛场上展现出的领袖气质与不屈斗志，早已超越了奖杯本身，成为了塞内加尔人民心中不可磨灭的精神图腾。

9、跨州奔波在桑拿天炼狱！靠深度碾压制胜，燃尽的英格兰耗赢挪威

基于这一认知，TT语音早期就从“工具”向“社区”演进——在游戏开黑房之外，陆续推出唱歌房、闲聊房、影音房等多元兴趣空间。

莫塔是一位年轻教练，拥有多段意甲执教经历，并展现出善于挖掘年轻球员的能力，尤其是对低预算转会窗的应变能力让红鸟十分欣赏。

10、24755人！昨晚孝感这里沸腾了

过去几年，他买过指数基金，定投过科技股，行情好的时候赚过点钱。

对他而言，团队的稳固高于一切，他的足球理念强调秩序、强度和精神意志，并不注重观赏性。

1、24位“高考状元”20人学医，一地放榜！医科实在太吃香！学霸为何扎堆学医？内地专业热度出炉，医学跌出前十，电气工程霸占第一

为什么？ “以前投资亏了，可以说是市场风险，创业九死一生。

2、直播

两支球队都以小组头名身份晋级，本届赛事至今保持不败，这场硬碰硬的较量注定充满看点。

3、新探险者本月上市，最贵的长安福特，三位数销量

换言之，如果数据无法被有效保存和调度，再强大的模型也无法持续进化。先示爱皇马，再被曼城追逐，1.2亿先生当真与切尔西缘尽了？彼时，市场对高额资本开支的主要争议是投入规模过大，而不是模型本身缺乏竞争力。

4、阿森纳5500万报价纽卡斯尔中场吉马良斯，被拒绝，准备2次报价

但一个家庭是否会在下个月再次启动机器，不是纯粹的工程问题。

5、湘潭：“艺伴成长”暑期公益班开班

算力规模要继续做大，只能靠一件事，就是把更多芯片用更快的方式连起来。

6、长城H10预售21.48万起，全系Hi4四驱，还有全域拓展坞

阿根廷甚至还没能在西班牙禁区内触球，但麦卡利斯特和恩佐·费尔南德斯合计已进行了五次一对一对抗，展现出球队若想挡住西班牙所必备的缠斗属性。

英格兰拿走了季军奖杯和60年来的最佳成绩；姆巴佩和奥利塞则带走了金靴和助攻王的历史级荣誉。

从存储芯片的“暴利神话”，到算力芯片的“第二曲线”，再到设备与封测环节的“水涨船高”，全产业链的共振清晰地描绘出一个事实：AI已经从云端渗透进每一个半导体细分赛道。

7、亚洲短跑大突破：布恩森跻身百米U20榜 泰国短跑能全面碾压日本？

最后是引援层面，错失欧冠的米兰对顶级球员的吸引力必然下降，类似格雷茨卡、弗拉霍维奇等关键谈判也很难敲定。

他还在这场赛事历史最佳射手的争夺中留下了一段传奇较量。

8、四叉戟锋芒毕露：法国队何以领跑2026世界杯夺冠热门？

他害怕人员流动太快，把公司的核心资料偷走，就给全公司上线了区块链存证技术。

然而，中场失控的表象之下，是法国队核心球员缺失带来的结构性硬伤。

OpenAI嫌挖人都太慢了，直接砸钱端走公司。

今年以来，资本市场对两条路线“谁能胜出”出现过数次激烈讨论。