先看抢人前移。

1、高比体育 本届世界杯上，乌拉圭队的表现令人大跌眼镜。

国轩高科2GWh全固态产线2026年底启动。高比体育根据报道，问题出在一项复杂的税款支付争议上——特尔施特根的高额薪水该如何在西班牙和荷兰两国的司法管辖下依法申报与分割，双方存在分歧。

2、假日酒店推出新版本，投资人为什么要抢着签

而在中场与锋线的衔接处，奥利塞扮演着“进攻大脑”的角色。

3、羚魂唤醒，山野共融！HOKA陪伴跑者共越莫干山之巅

随着贡卡洛·拉莫斯与马里奥·希拉的加盟，俱乐部今夏引援支出已突破1亿欧元大关。

4、2026春夏十款最适合女跑者的路跑鞋

这批电芯的故障画像高度统一：车型集中于AION S Plus、魅580、S MAX；行驶里程几乎全部落在15万到25万公里之间；故障表现先是续航莫名缩水，继而仪表盘报绝缘故障，BMS限制动力输出，最终行驶中直接断电趴窝。

5、39岁梅西泪洒决赛：两代球王卫冕梦碎，阿根廷到底输在哪

两人希望将米兰的重建工作全权交给朗尼克一人负责，由他同时统领引援方向、战术体系搭建以及青训部门的整合。

2023年2月，费兰公开谈到了发生在他身上的一切。

超节点正是在这个转折点上被推向了舞台中央。

6、最慷慨的球队！MVP+单场双30+旷世天赋！培养好直接送去别队夺冠

仅仅两年后，格瓦迪奥尔就以 9000 万欧元的天价转会曼城，成为世界足坛身价最高的中后卫。

尤文看中的是他即战力可快速填补布雷默可能留下的空缺，且与斯帕莱蒂要求的中卫线提速相匹配。

7、河村勇辉来中国打球？媒体人：他根本就入不了CBA的法眼

2030年，西班牙男足将作为东道主之一（与葡萄牙、摩洛哥联合举办）在家门口卫冕。

从基本面来看，天齐锂业业绩已进入集中兑现期。

8、怀特塞德药检违规！上海队总冠军会取消吗？CBA名记进行解答

升级成功后，兰帕德执教的球队在转会市场上动作频频，同时询价了托莫里和洛夫图斯-奇克两名米兰球员。

比如，对赌、大股东连带担保、定期回购。

将近二十年后，梅西在世界杯决赛的球场上，俯身对那个婴儿耳语。

9、攻防均衡！瑞士2-0零封阿尔及利亚，恩博洛恩多耶破门稳进16强！

拓竹相信，未来需要3D打印机的人会更多，买下机器的人也会持续找到值得打印的东西。

主菜是资本开支的“脱缰”。

10、抢七9分6助，哈登虽躺赢，但他比谁都开心！

自吉鲁离队后，引进一名强力中锋始终是米兰管理层绕不开的话题。

更为关键的是，布雷默合同中存在一条5800万欧元的解约条款，有效期至8月10日。

1、马刺放弃一位年轻球员，只为留下这位场均26+的G联赛得分手

而这道知识门槛，正被大模型智能体拆除。

2、执念的尽头，无畏的起点

孔蒂与那不勒斯的合同截止到2027年6月，年薪达到800万欧元。

3、NBA全明星新赛制正式实行，24人名单初见雏形！保罗太悲催了

没有梅罗争霸：梅西托举球队，C罗拖累全队 长久以来，外界总喜欢将梅西与C罗放在同一架天平上，炮制出所谓的“梅罗争霸”。阿里甩出“配音”神器：能调整情绪，还会说方言月之暗面随后于6月29日发布官方声明，明确所有融资活动仅由公司直接负责，未经公司批准的老股交易一律无效。

4、中国全胜、韩国外战全败，围棋LG杯第一轮真痛快，16强对阵出炉

球队整体以控球为主，但反击速度也很快，莱奥的存在让球队在转换进攻中极具威胁。

5、无视梅西凯恩！皇马传奇评选金球奖四大热门！世界杯头号水货在列

其经纪人皮门塔一直在积极运作球员转会，但目前仅有切尔西进行过非正式问询。

6、揭露快招骗局后，我接到了大量从业者的爆料

这场失利，不仅标志着德尚时代的谢幕，也给法国足球留下了深刻的教训：在极致的团队传控面前，仅靠球星的个人天赋，永远无法捧起大力神杯。

费兰随西班牙队一路闯入半决赛，即将对阵法国。

无论终场哨响时谁能在球衣胸前绣上新的星星，全世界数十亿观众在90分钟内看到的，都将是阿迪达斯标志性的“三条杠”。

7、27亿！AI 3D生成领域最大单笔融资诞生

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。

但德国人曾提出过自己对新东家的要求，那就是确保参加欧冠，现在的形势对米兰极其不利，中场补强可能要另觅他选了。

8、上海男篮3比0！拿到冠军点，张镇麟23分9篮板，弗格爆发

2016年11月，礼来最具潜力的阿尔茨海默病抗体药物Solanezumab，在2000名患者身上几乎没有产生任何效果，宣告三期临床失败。

俱乐部之间的谈判预计在世界杯结束后加速。

沉迷“保本”的国资投委会 在54号文出台之前，国资做股权投资的逻辑“看起来很美”。

市场普遍预计全年碳酸锂中枢将在12至16万元/吨区间。