英格兰左边锋戈登速度极快，冲击力十足；右边锋萨卡状态回温，突破非常犀利。

1、Kai云体育 随着法国队的黯然出局，西班牙队昂首挺进决赛。

玩家看到的真相很直白：不是没有研发产能，而是厂商不愿把资源耗费在收益极低的老角色补全上。Kai云体育同时，乐事也在广州GOAT、上海ROBO SPACE酒吧，为硬核球迷打造了极具氛围感的观赛据点。

2、F1车手的朴实一面：刚在斯帕狂飙争夺，转头同乘易捷经济舱回家

” 那模型厂商做应用，会不会更有优势？吴太兵的回答是：看复杂度。

3、詹姆斯训练状态火热，字母哥示好四大原因促加盟热火

本周一，巴塞罗那2026年季前备战在甘伯体育城正式拉开帷幕。

4、格德斯进入卡塔尔归化视野！亚洲归化提速，中国足球跟不跟？

以前我们觉得"毕业再想找工作"，现在大二大三就在分岔了。

5、造成重大人员伤亡，国务院成立广西六蓝水库“7·6”溃坝灾害调查评估组

（来源：中原期货研报） 上海钢联数据显示，2026年上半年，国内碳酸锂现货价格呈宽幅波动走势，整体运行区间为11.7-21万元/吨，5月中旬短暂冲破20万元/吨，之后快速回落至6月末的15万元/吨附近。

相当长时间内，中国是没多少自主设备制造能力的。

就在同一天，特斯拉股价在盘后交易中下跌约4%，随后的交易日更是暴跌13.5%。

6、设计新生力量如何破圈？听2026“海宁家纺杯”评委说

接下来要拿出足够的证据和时间。

要理解为什么，得先看清算力这种商品的特殊之处。

7、梅赛德斯查明拉塞尔动力单元故障真因：校准错误，车手称卸下心头大石

当然，数据下滑既有球队战术动荡、进攻体系不连贯的客观因素，也有球员自身状态起伏、场上定位反复调整的原因，让外界对他的去留产生了分歧，不过莱奥自身对米兰已经是心灰意冷。

他与搭档拉波尔特组成的中卫组合，在本届赛事中于对方半场完成抢断的次数高居所有中卫之首。

8、飞翼客场挑战火焰：电视和流媒体观赛指南

真正的转折点，出现在2025年底。

当决赛的哨声即将吹响，面对梦开始的地方和拉玛西亚的师弟们，梅西的每一步都在书写历史。

罗杰斯外围远射造成挪威门将尼兰扑球脱手，贝林厄姆机敏插上补射破门，帮助英格兰队2-1反超比分！ 这是贝林厄姆在本场比赛的第二粒进球，也是他连续两场淘汰赛完成梅开二度的壮举。

9、第一台宝马E46 M3 GT赛车将拍卖，曾开启整个GT赛事计划

更令人玩味的是，温契奇与阿根廷队之间还有一段“不解之缘”。

姆巴佩在本届世界杯状态火热，6场比赛狂轰8球3助攻，正以20粒世界杯总进球紧追梅西。

10、世界杯的“泼天流量” ，粤超这么接！

其核心的汽车业务仍在盈利，但利润像挤牙膏一样微薄，无法支撑起如此庞大的烧钱计划。

世界杯赛场两队仅交手一次，2006年德国世界杯1/8决赛，齐达内领衔的法国队3比1淘汰西班牙。

1、棉花涤纶价格“冰火两重天”，纺织业加速换“芯”升级

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。

2、卡西利亚斯看衰阿根廷夺冠：西班牙才是决赛热门，巴西是历史第一

在这一背景下，耐克的线上运营费用率自然可能显著抬升，虽然直营化改革，能够直接提升品牌方的毛利率，但广告、仓储、人力成本等方面的上涨，会让直营模式的盈利优势大幅稀释。

3、中国海警依法对位中国黄岩岛管辖海域非法活动的菲律宾多艘船只采取管制措施_网易订阅

7月17日iMoochi的正式上线，以1699元的售价（云朵充电底座套装1778元）卡位中端市场，标志着手机厂商对这一赛道的正式“宣战”。约书亚开火：别老盯着我的肌肉，打完比赛我给你当私教减掉“贪吃肚”7月14日，天齐锂业披露半年度业绩预告。

4、美威胁沙特：如不加入“亚伯拉罕协议”，两国签署的民用核协议将作废；此前沙特首相称加沙战事致国内反以情绪高涨，不接受与以关系正常化

一家机器人公司的联合创始人程越感慨，因为实在缺人，他们去年招的一批普通二本和大专生，干了不到半年就被同行用双倍薪水挖走。

5、32k英里2003年法拉利360 Spider：红色经典再现，曾因事故被保险公司列为全损

坚持打大打恶打重点，提高监管执法质效，依法严查严处财务造假、内幕交易、操纵市场等违法违规行为，加强新型业务监管，推进人工智能在监管中的应用。

6、侯森替补去中甲，国安试金徐正源 铁人若客场对攻 后防必被打成筛子

随着贡萨洛·拉莫斯与马里奥·吉拉相继落地，AC米兰在锋线与后卫线上的投入已突破一亿欧元门槛。

联合创始人、CEO于伟拥有丰富的产业经历与管理运营经验，是张立华在清华担任班主任时的“学生”。

一边是资本市场寒意阵阵：科创50指数在7月骤然转跌，累计跌幅约20%，融资盘连续多日净卖出。

7、火箭队捡到宝，次轮秀27+3进攻全能，两特点强于谢泼德，与2将争首发

本周三，法国与西班牙将率先在阿灵顿展开半决赛较量；次日，卫冕冠军阿根廷将在亚特兰大迎战老对手英格兰。

” 华尔街担心的不是Kimi K3，而是一旦中国开源模型所代表的免费AI加速渗透，将会进一步影响云厂商和模型厂商的算力投入回报率。

8、西班牙8战仅丢1球夺冠，创世界杯防守新标杆

新赛季英超首轮，切尔西就将迎来一场硬仗——客场对阵西伦敦德比对手富勒姆。

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。

莱奥、希门尼斯、托莫里与埃斯图皮尼安成为最可能被裁掉的第一批人选。

足球通常告诉年轻人：排队等着。