在小组赛中，科特迪瓦展现了极其稳健的竞技状态，首轮1-0小胜厄瓜多尔，依靠中场拦截和边路反击拿下开门红；次轮面对德国，收缩防线顽强抵抗仅1球惜败；末轮2-0零封库拉索，顺利锁定出线名额。

1、b体育官网 随着法国队的黯然出局，西班牙队已经成功拿到了决赛的门票。

你看，这张表不是用来算分的，是用来倒逼你想清楚：这段实习，我到底要带走什么。b体育官网中国每卖出10辆新车有6辆以上是新能源汽车 7月23日，商务部消费促进司司长杨沐在国新办发布会上说，6月份，中国新能源汽车零售渗透率达62.8%，相当于每卖出10辆新车就有6辆以上是新能源汽车。

2、WAIC上，AI开始接管人类的欲望

在Meta Audiobox Aesthetics与SongEval两套评估体系下，V4.7在内容享受度、作品记忆点和声音清晰度等指标中获得较高分数，其余音乐性、连贯性和自然度指标也处于第一梯队。

3、10秒就能抽 IPhone 17 Pro！36氪企业全情报小程序福利抽奖来了！

竞技体育需要裁判的绝对权威，但权威绝不等于傲慢。

4、国足鼓起勇气约战世界杯参赛球队，但不是佛得角，这一点是主因

当“塞内加尔万岁”的呐喊声在达喀尔的上空回荡，我们知道，那个身披10号战袍、永远不知疲倦的边路快马，已经完成了他在国家队赛场上的最后一次冲刺。

5、让2追3！阿根廷队惊天逆转，裁判引起争议！

俱乐部老板豪尔赫·马斯表示：“卡塞米罗的到来，体现了迈阿密国际的愿景与雄心。

阿斯拉尼仍在等待西甲冠军的召唤，但他不打算无限期等下去，已开始与莱比锡展开接触。

克罗地亚总身价3.87亿欧元，FIFA排名第11位。

6、曝湖人给布朗尼标价：次轮签+底薪球员，勇士若追詹姆斯需备此筹码

而最隐蔽也最致命的，是标准这道暗锁。

联赛最后两轮，阿莱格里可能会重点扶持恩昆库。

7、现役首例！库里获篮球名人堂专属展区 7月24日揭幕

Anthropic考虑在上市后对员工股票出售采取非常规安排 据报道，Anthropic正在考虑在上市后对员工股票出售采取一项非常规安排，拟为所有员工强制推行10b5-1股票交易计划。

值得一提的是，赖因德斯以约6000万欧元转会曼城的交易并未计入统计。

8、中国数学等了90年，王虹、邓煜同时摘下菲尔兹奖

在当下这个容易用数字去衡量善意的时代，中国球迷拒绝用狭隘的尺子去丈量别人的真心，这种双向奔赴的理解与包容，同样令人动容。

那时候他已经淡出阿里一线很久了，穿着深色外套、戴着帽子，混在人群里毫不起眼，安安静静看完了梅西和姆巴佩的巅峰对决。

在WAIC 2026展区，天谱乐AI吉他产品年度焕新款迎来首次公开亮相。

9、国羽队员晒队友恐怖伤口感染:不矫情不卖惨拿冠军

科特迪瓦虽然FIFA排名在30名开外，但全队身价也达到5.1亿欧元，这支非洲杯冠军球队全员旅欧，92%的球员效力欧洲联赛。

"梅西说。

10、导弹瞄向中国，军舰紧逼，切断稀土供给，日本不用中国出手就输了

经纪人已经开始为球员寻找下家，近期先后与尤文图斯和亚特兰大进行了接触。

从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

1、泉港安全培训学院成立 举行首期消防安全应急能力培训

当比赛结束，无论你的主队是即将加冕两星的西班牙，还是成功登顶四星的阿根廷，球迷们都会迫不及待地更新自己的装备库。

2、泳池发现呕吐物，合肥市游泳馆暂停营业，工作人员回应：系个人行为，对市民作了补偿，再游的市民每人再补一张票_网易订阅

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。

3、正面对抗不输文班亚马和DPOY！双向合同出身的二轮秀逆袭

以鸣鸣很忙、万辰集团为代表的量贩零食品牌，通过极致供应链直采将标品零食、饮料价格压至传统渠道的6-7 折，且门店从省会、地市下沉至县乡镇，直接覆盖便利店的社区客群。早上6点！CCTV5直播内马尔首秀，安切洛蒂表态，赢球=小组出线原本争四高枕无忧，现下却被众多对手纷纷赶上。

4、康师傅冰红茶超燃杯第二届青岛市高校三人篮球联赛第七站——中国石油大学_网易订阅

综合看来，瑞士在各方面都要优于阿尔及利亚，具体到战术层面，瑞士的中场控制能力和防守纪律性对阿尔及利亚的技术流打法也有一定克制作用。

5、封面来了！王祉怡：跨越山海 再向彼岸

作为西甲冠军，巴萨仍然需要通过出售球员来增加收入，阵容中还有像巴尔德吉和卡萨多这样的球员可以推向市场，不过他俩离开所能带来的转会费，都无法和费兰相提并论。

6、CBA快讯！广东欲续约黄明依，广州宁波数百万求购状元签，吴前留守浙江

他们的防守组织严密，纪律性极强，面对巴西、荷兰这样的强队都不落下风，特别是阿什拉夫和马兹拉维组成的边路双翼冲击力十足。

2013年，大疆推出第一代Phantom。

但哪个才是长鑫真正的估值锚点？ 7月27日上市，942万户申购，0.47%中签率创下科创板纪录，770万个中签号每个缴款4330元。

7、“城商行一哥”完成核心交接：袁军卸下“代”字正式掌舵，首位75后行长就位

综合来看，本场比赛大概率是小比分格局，巴西小胜或两队平局是最有可能的结果，很难出现大比分悬殊局面。

葡萄牙积4分排名第二，末轮打平就能出线，但如果输球，而刚果又赢了乌兹别克斯坦，那么两队同积4分，需要比较净胜球等数据，葡萄牙存在理论上的出局风险。

8、明年1月1日起 企业年金个人账户可线上转移接续

首轮2-2被日本逼平；次轮5-1横扫瑞典；末轮3-1击败突尼斯，以不败战绩锁定小组第一。

据《独立报》报道，阿森纳主帅阿尔特塔对阿尔瓦雷斯欣赏已久，如今枪手正在加紧行动，希望补强锋线。

沃伦·邦多和本纳塞尔均被排除在外，邦多已被俱乐部挂牌，标价800万欧，目前暂无买家。

无论接下来的对手是卫冕冠军阿根廷还是三狮军团英格兰，连续淘汰两大夺冠热门的西班牙队，无疑已经掌握了通往大力神杯的最强主动权以及信心。