" 乔哈特的言辞更加激烈："索斯盖特在英格兰的关键时刻挨了不少批评，说他在比赛里太早开始防守。

1、熊猫体育 拆解这份投资方名单，你会发现它的“含金量”远不止于金额本身。

参考资料： 《梅西投了李飞飞》，投资界； 《梅西变身硅谷投资人，投了"AI教母"李飞飞》，硅基见闻； 《10亿美元先生：梅西的「球王生意」》，中国企业家杂志； 《李飞飞，刚刚又融70亿》，投资界； 《又有NBA球星做投资人了》，东四十条资本； 《NBA球星投资都流向哪个领域 詹皇科比赚翻也有人破产》，腾讯NBA； 《梅西投地产，C罗押AI，姆巴佩买球队：世界杯球星的钱去哪了？》，国际金融报； 《顶级球星是如何做VC的？》，投中嘉川； 《100亿身家"足坛首富"，投了最火AI独角兽》，融中财经； 《NBA球星安东尼刚投了一位25岁华人女孩》，福布斯中国。熊猫体育当然，边后卫助攻后的空挡、关键罚球的稳定性等问题仍需警惕，但就当前状态与阵容深度而言，这支拥有完美“四叉戟”、最强板凳厚度、首支晋级四强的法国队，无疑是2026年世界杯最接近大力神杯的球队。

2、尤文国脚报告：冈萨雷斯晋级美加墨四强，利奇纳欧青赛决赛坐板凳

这已是中国央行连续第20个月增持黄金。

3、特朗普：我正考虑发动一次大规模打击，规模空前，如果我提出要求以色列“两分钟内就会加入”，伊朗：打击美电子战部队，多名美军人员伤亡

特斯拉距离一家汽车公司的角色，越来越远了。

4、开拓者老板再挥“裁减”大刀：解雇王牌解说，NBA圈内被指“抠门”

这段特殊的历史，让乌拉圭成为了世界杯历史上唯一因奥运冠军而获准“加星”的球队，这份殊荣空前，也大概率绝后。

5、泽连斯基触碰普京底线，俄决心“以毒攻毒”，轮到乌克兰被毒打了

从全场被针对性限制到赛后情绪失控，贝林厄姆的这个夜晚充满了挫折感。

如果丘库埃泽能够适应翼卫的防守纪律，萨勒马科尔斯在右路的先发优势将被大幅削弱。

只有在那笔交易尘埃落定之后，巴萨才会决定是否引进第二名前锋——这一决策与费兰·托雷斯的去留密切相关。

6、勇士想要浓眉？新报告揭露真实情况，一切都很混乱

挪威主打4-3-3阵型，核心框架围绕双核构建——锋线哈兰德负责终结，中场厄德高负责调度。

卜拉欣虽已随队止步，但其余六人仍有机会继续书写历史。

7、1970年甲壳虫无底价上架：2024年刚翻新，四轮碟刹配1.6L对置四缸

丘库埃泽和穆萨将是阿莫林重点考察的两名球员，二人的风格得到了葡萄牙教练的认可。

因此，瞄准AI宠物市场的企业们也深知情感才是这笔生意的核心。

8、乒乓双打全锦赛落幕！马龙-许昕第3次夺冠，蒯曼全胜不败斩获2金

这场在新泽西进行的决赛远非一边倒。

从Ricks接任时的800亿美元到万亿市值，八年时间增长了超过十倍。

决赛前瞻：技术流与铁血防守的碰撞 北京时间7月20日凌晨3点，西班牙与阿根廷的巅峰对决将在纽约打响。

9、请注意！岳阳市2026年秋季儿童入托入学预防接种证查验工作正式启动

如果3D打印还要从爱好者走向更多普通用户，公司就需要与之匹配的工厂、供应链和出货能力。

然而，随着大模型推理和AI Agent进入规模化应用，一个越来越明显的现象开始出现：GPU越来越强，但真正能够释放出来的算力却没有同步提升。

10、最高4000万欧！纽卡今夏第四签敲定，20岁中场班巴即将加盟

这位曼城中场随后在蒙克洛亚表示，这是他职业生涯的巅峰之作。

预测沙特进攻端难有作为，乌拉圭可以零封战胜对手。

1、10k英里2005日产350Z手动挡无保留价再度拍卖

这意味着，投资凸性不能只看“赔率”，账户还要能活到右尾出现的那天。

2、商务部：目前中美双方经贸团队正在探讨推进各自300亿美元规模的对等降税框架安排

考虑到两队打平即可携手出线，且加拿大净胜球优势明显，双方未必会死磕到底，预测最终1-1握手言和。

3、CBA常规赛打完！这些水货外援都要全部走人，一个不留

但走出展馆，产业的真实图景和这份热闹对不上号。蓝鸟王牌高斯曼8队不可交易名单曝光：雄鹿水手在列，合同最后一年表现陷低谷从纸面实力来看，两队差距悬殊。

4、被控欠费又欠薪，“昔日鞋王”怎么了？

因此这场季军战，不管法国还是英格兰，都会进行大轮换，特别是让一些没有出场的球员得到世界杯出场的机会，也让一些年轻球员得到世界杯比赛的历练，为了今后更好的新老更替。

5、美加墨世界杯来了丨阿根廷&德国长袖、短袖、无袖训练服+比赛用球

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。

6、红袜15连胜戛然而止，5比1惨败无缘追平尘封80年队史纪录

第二：罗德里状态上佳，斗牛士军团无惧欧洲红魔！西班牙相比2026年欧洲杯两个边路是差点意思的，但罗德里近期找回了巅峰状态，大有渐入佳境的感觉。

不管留在巴萨还是转投巴黎，不管未来如何，这一脚已经刻进了历史。

看完对两支球队的战术分析后，相信广大球迷心里会得出自己的答案。

7、比梅西更有格局！阿根廷全队失态翻车，唯独一人赢得全世界尊重

这位金球奖得主在本届赛事贡献5球2助攻，他与姆巴佩在世界杯历史上已累计为对方创造19次机会，创下近60年来法国国家队纪录。

德容在多场关键战役中依靠厚厚的绷带和止痛针上场，这种医疗方式在巴萨看来，严重损害了球员的长期身体稳定性。

8、若瓦内·卡布拉尔自由身加盟格雷米奥，签约一年半

中金财富期货直言：“美伊冲突升级，油价大涨，这给刚刚开始反弹的黄金重重一击。

“你会感觉这群人关系特别近，做出一个很酷的东西本身就让他们兴奋，并且还能把它商业化。

梅西的职业生涯已近尾声，而亚马尔刚刚把大力神杯举过头顶。

DriveDreamer的价值，是生成和模拟这些现实中昂贵、危险或者极少出现的驾驶场景，帮助车企训练、测试自动驾驶系统。