英超升班马考文垂是最先询问托莫里状况的俱乐部。

1、博亚平台 小组赛阶段，斯卡洛尼的球队展现出稳定的统治力：首轮3比0轻取阿尔及利亚，次轮2比0完胜奥地利，末轮3比1击败约旦，三战全胜积9分以J组头名出线，打进8球仅丢1球，攻防两端表现均衡。

如何让主教练、足球主管和体育总监这三个职位形成有效的配合，而不是出现权责不清或者相互掣肘的情况，将是考验米兰管理层智慧的关键。博亚平台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。

2、布莱顿6笔交易净赚3亿镑！布莱顿狂吸血英超豪门 不降级底气在哪

SK海力士今年一季度销售额首次突破50万亿韩元大关，营业利润达到37.6万亿韩元，营业利润率达到72%，创下公司成立以来的最高纪录。

3、酒店前台10个月赚了2730欧元：她说，交易不是赌博，是学着看懂生活

米兰希望等到世界杯后再开启正式谈判，俱乐部寄希望于莱奥能在大赛打出状态，5000万欧元的市场价届时可以水涨船高。

4、比亚迪天神之眼全系性能优于L2辅助驾驶新国标

礼来的故事，与它们有着相同的基因——一种深植于成功者骨血里的"路径依赖"，和对既有认知的偏执迷信。

5、最迷人的气质，是坚持做自己

至此，德拉富恩特的球队继2010年南非之后，再度站上世界之巅。

季度级别的观察窗口。

同时，老板本人也制定了极其紧凑的日程，他亲赴德国与格拉斯纳进行了会面，值得一提的是，这次对话并没有带伊布参加。

6、葡萄牙主动避开阿根廷，梅罗决战推迟，死亡半区还是终极剧本？

若中东紧张局势升级、海峡持续保持关闭，推动油价再创新高，高通胀预期将进一步强化美联储加息预期，可能继续打压金价。

下方挤压来自机器人本体公司。

7、男女超过了40岁，坚持多吃3种野菜，补充身体营养，增强免疫力

上赛季索博斯洛伊交出了一份堪称惊艳的成绩单：各项赛事出战53场，贡献13粒进球与12次助攻，成为自2013-14赛季杰拉德之后，首位单赛季进球助攻双双上双的利物浦中场。

5个月后，耐克官方旗舰店实际成交价格为770元。

8、库里级别的投射，文班亚马在活动中远投6投5中，已经准备好新赛季

鲁尼在BBC的评论直截了当："你不能进了一个球就把球权拱手相让，把打进第二球的机会也一起扔掉。

从穆萨的2400万，到本纳塞尔的1000万，再到丘库埃泽的2400万，加上泰拉恰诺那笔悬而未决的几百万，米兰累计可能要损失超过6000万欧元的预期收入，这将在一定程度上影响到球队夏窗的引援质量。

第一次是在1928年阿姆斯特丹奥运会的半决赛上，阿根廷6-0大胜埃及，塔拉斯科尼上演帽子戏法。

9、法国队新帅出炉！曝法足协已与齐达内达成协议，或可享受豁免条款

”杨晓煜表示，红熊AI的使命就是：把人工智能带入每一家企业里去。

"夏奇拉说。

10、今年最好看的4种颜色，太适合夏天了！

周四早些时候，俱乐部已与布鲁日就希腊边锋克里斯托斯·佐利斯的转会达成协议。

在这场半决赛中，西班牙队用极致的传控和密不透风的防守以及精准传控，完美拆解了法国队的防反体系。

1、“板凳会”上晒出的民生点子，怎样变成江南新风景？

截至2025年底，Momenta智驾解决方案已搭载在68款量产车型中，搭载该解决方案的量产车数量已超68万辆。

2、葡萄牙出局！C罗情绪迅速平静，赛后发言头脑清醒，还有自己打算

公开信息显示，地平线机器人与大众将通过酷睿程，进一步加强在AI基座大模型领域的合作。

3、嘴唇发紫、指甲发乌、耳垂有折痕，真的提示心脑血管疾病吗？

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。一方神祇护佑，一眼甘泉滋养，这里深藏着洱海边被遗忘的时光欢快的音乐声里，天幕渐暗，城堡不远处的旋转木马和飞椅亮起灯，演出如同一幕序曲，灯光装点下，一个独属于夜晚的蓝调时刻缓缓登场。

4、“文化思南”，十岁啦！

哥伦比亚全队身价3亿欧元，世界排名第13位，主帅洛伦索打造了一支攻守均衡的球队。

5、PCB概念震荡下挫 建滔积层板(01888)跌...

按信号采集位置，行业大致分为三条技术路线：非侵入式将电极戴在头皮外，安全、成本低，但信号隔着颅骨精度有限；侵入式将电极植入脑组织，信号最清晰，却要面对开颅手术、长期生物相容性与感染风险；还有一条折中路线，把电极放在硬脑膜外、脑表面或血管内，在信号质量与手术风险之间寻找平衡。

6、无锡动物园通知：临时闭馆！

正是出于这一判断，巴萨近期争取到了一笔2.1亿欧元的预支资金，以便在接下来两个转会窗口拥有更大的阵容补强空间。

甚至于，陶冶最初也没有把 3D 打印当成一个好项目。

这支南美劲旅球星质量更高，利物浦边锋路易斯·迪亚斯是球队的边路爆破点，一对一突破能力极强，对阵加纳时完成11次突破，多次制造杀机。

7、中国女排未来在哪里呢？

不管你是普通一本、二本，还是已经大三"醒晚了"，下面这些路都走得通——它们未必让你月薪过万，但能让你别再"刚知道"。

克罗地亚在达利奇带领下坚持务实控场打法，对阵英格兰大概率启用3-4-2-1防守反击阵型。

8、米兰18岁青训新星即将归队，外租意乙历练1年，身价上涨233%

虽然阿拉伊贝戈维奇是一个不错的潜力股，但这笔交易也存在一些争议。

纵观全场，法国队的强大不仅体现在进球上，更体现在令人窒息的防守压制力。

也因此，自7月以来，全球AI算力产业链均经历了一轮深度回调。

战术层面，这场比赛是典型的控制与反控制对决。