在代言之外，品牌同步推出多款名周边与玩法，包括卡骆驰樊振东笔记本套装、乒乓球拍发声玩具等趣味单品。
摘要：“去年在中国卖得好的东西和方式，今年在亚洲市场比较容易铺开。
赌注已经下桌 关于这次财报，一个令人关注的细节是：尽管汽车业务依旧是特斯拉营收的主体，但在财报电话会议中，大多数讨论都与汽车业务无关，而是指向了Robotaxi、Optimus 和 AI 基础设施等话题。
1、亚搏手机 宏和科技的实控人为王文洋及其女儿Grace Tsu Han Wong，截至今年7月，二人通过远益国际、INTEGRITY LINK、FUSECREST、SHARP TONE、UNICORN ACE，控制公司80.37%的股份。
这种“架构创新+封装升级”的模式，正成为全球头部芯片厂商突破性能上限的共识性选择。亚搏手机只有长期深耕一个领域，积累行业 know-how，理解工作流的每一个细节，才能建立用户愿意付费的价值。
2、划分足坛天赋档次！卡佩罗：贝利马拉多纳梅西独一档，C罗位列前十
第三，是年轻扁平化的组织架构。
3、大连球迷，你们太棒了！
俱乐部同时也开始准备备选方案，以防无法如愿签下这位阿根廷球星。
4、央视曝光直播间里的假转账套路
该网站补充道：“切尔西共同所有者贝赫达德·埃格巴利与维拉老板纳塞夫·萨维里斯在48小时内敲定了交易，埃格巴利在向球员阐述切尔西规划时起到了重要作用。
5、普京当众斥责副总理，俄罗斯老百姓都加不上油了，还打算磨洋工？
今年上半年，公司碳酸锂产、销量约4.94万吨、3.91万吨，较上年同期的2万吨、2.06万吨均大幅上升，量价齐升助力上半年盈利预增131.38%-142.95%。
此前，Momenta创始人兼CEO曹旭东曾表示，“汽车辅助驾驶竞争将在2026年结束，国内最终只会有三家参与者胜出。
夏窗回归之后，可以确定的是他肯定不会被出售，这一点已经被伊布多次重申。
6、赛车圈本周五大热招岗位：FIA 招募新能源安全经理，阿斯顿马丁 F1 广纳设计工程师
赛后，助攻双响的梅西获得全场最高的评分-8.0分，强强对话中唯有球王持续巅峰状态，这就是越老越妖的技术流超巨-梅西。
非洲小规模锂矿和国内高成本锂云母产能退出市场。
7、两次逼停中国空间站，4400颗卫星围堵，意欲何为？
绿茵场上的故事似乎正在走向尾声，但很少有人留意到，梅西的另一重身份正在被重新定义。
他认为比赛中多次判罚存在争议，并直言萨尔瓦多籍主裁伊万·巴顿是否具备执裁世界杯半决赛的能力值得商榷。
8、道奇三连冠遭遇最强挑战？酿酒人唯有交易斯库巴尔方能撼动霸主地位
接下来的赛季同样不顺：季前赛小腿受伤，所幸赶在赛季开始前恢复；同年晚些时候，又一次肌肉问题让他缺席多场；2022年1月，轻微肌肉拉伤再次短暂缺阵。
“主体性”“边界感”“课题分离”，负责重新划分权力：什么是我的事，什么是别人的事，我能不能把生活拿回来。
他几乎没有犯下任何错误，是球队一路零封对手闯入决赛的关键一环。
9、印度超级联赛借世界杯热度开新季 俱乐部首获商业自主权
虽是玩笑话，但也点出了那一代企业家和足球的深度绑定。
我们的表现低于正常水准，技术失误多于此前场次，身体对抗也慢了一拍。
10、扮成变形金刚警车的野马，被真科迈罗警车拦下，连吃三罚单
这不仅是一场冠军之战，更是两队胸前绣上第二颗和第四颗星的最后一步。
对博睿康而言，NEO的注册证就是那张最重要的入场券。
1、腾讯317万年终奖员工因泄密被辞退
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。
2、连签底薪2将，火箭队补齐16人阵容，首发1位置有悬念，谢泼德锁定第6人
首先是位置竞争，米兰的中场位置其实并不缺人，现有阵容里就有不少实力派球员，莫德里奇是否续签合同还未确定，另外还有拉比奥、福法纳、奇克、里奇、亚沙里、穆萨等一大批中场球员囤积。
3、卡里克神操作！曼联 5000 万水货逆袭，全新位置彻底封神
接下来，西班牙队将迎来更大的挑战。带着家乡故事出发！阿勒泰162名少年搭乘 “吉泰号” 赴北京、吉林研学每一道关税壁垒都在抬高出海成本，倒逼企业从“产品出口”转向“产能出口”。
4、40岁莫德里奇续约AC米兰1年：将搭档阿莫林，誓言强势反弹
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。
5、徒步险丧命，户外约人要谨慎
阿根廷前锋阿尔瓦雷斯，则长期排在球队引援名单的前列。
6、两年巨亏超2.5亿，95后女董事长因涉嫌信息披露违法违规被立案
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。
哪有这种低风险高收益的股权投资？ 所以，为了实现这种“既要又要还要”，国资的投委会，研发出不少神器。
03 半导体设备，“卖铲人”躺赢 行业有一句老话：牛市买设备。
7、世界飞镖对抗赛四强战：安德森打头阵，利特勒再遇洛克上演半决赛重演
卡塞米罗签下了一份直至2027年美职联常规赛赛季末的合同，俱乐部持有续约至2029年6月的选项。
加泰罗尼亚俱乐部的头号目标依然是阿尔瓦雷斯，但如果与马竞的谈判最终无果，努涅斯相信自己有机会成为备选方案之一。
8、西班牙技术性击倒法国，这是“世界最佳球队”？
荷兰5胜2平1负的历史交锋记录占据心理优势，但日本专克强队的属性始终是悬在欧洲球队头顶的达摩克利斯之剑，成熟的防守体系足以限制荷兰进攻，橙衣军团攻坚效率不稳定，双方大概率陷入拉锯战，或以1-1握手言和。
周远发现，清单中很多项目只能回答“未来空间很大”，却回答不了“持有资产的价值如何上涨”。
福登本人正处于职业生涯的一个微妙节点。
进攻端主打稳守反击，同样依赖两条边路，阿什拉夫和马兹拉维是得分利器。
2027年灰烬杯赛程官宣：南安普顿首次承办，老特拉福德与Headingley落选
8000万镑接近成交！阿森纳补上最大短板，中场绞杀时代来了
欧洲排联赞美朱婷：2赛季狂轰942分，无可替代的核心球员
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- 1 更关键的是他曾多次在公开场合宣称自己是米兰的忠实球迷，当然布鲁日是很难缠的谈判对象。
- 2 尽管皇马持续观望，但拜仁方面态度坚决，并无放人打算。
- 3 ” 04 交卷之日 全球的机器人赛道，抢人为何会到如此疯狂的程度？ 因为2015至2016年是大量人民币基金、美国VC基金成立的高峰期，按7到10年存续期算，这批基金在2025到2026年集中进入清算期，他们着急收回钱。
- 4 第二，两家公司商业战略上的共性。
- 5 在阿莫林的体系中，拥有两名出色的10号位球员至关重要。
- 6 这主要是因为世界杯决赛在即，若对核心球员实施禁赛，不仅会直接改变决赛的阵容格局，还可能引发更大的争议。
- 7 综合各招聘平台与在校生爆料，目前国内实习薪资大致分三档： 头部大厂的技术、算法、AI 岗，月给 8k 到 15k 不等，过万是这批岗位的正常水位；中厂、独角兽或一线城市普通互联网公司，实习补贴多在 3k 到 6k；而小微企业、本地公司、导师课题组，大多 0 到 2k，不少还要自己贴房租通勤。
- 8 2025年初接替索斯盖特执掌英格兰帅印时，图赫尔的任务很明确：找到那味缺失的"大赛基因"。
- 9 但他最终选择“不听劝”，按他的说法，不在旧系统里做“访客”，要为智能体盖一座房子当“原住民”。
- 10 法国队全体成员没有经过混合采访区，包括德尚，包括姆巴佩。
- 11 在批评者眼中，将一座自己并未全程参与决赛的奖杯视为“价值千金”，不仅是对团队荣誉的模糊，更是一种在现实挫败面前的“精神胜利法”。
- 12 7月19日深夜，月之暗面发布公告：K3上线48小时内用户请求量大幅超出预估，逼近现有算力集群承载极限，公司决定暂停C 端新用户订阅，将全部算力投入服务存量用户。
- 13 客串中锋后，他的回防不再积极，经常能够看到在场上“遛弯”的场景，对于这种消极态度球迷肯定不会买账。
- 14 2022年碳酸锂行情鼎盛阶段，天齐锂业全年经营活动现金流净额高达117.35亿元；2024年锂价深度回落，公司现金流骤降至41.92亿元；2025年，现金流进一步萎缩至21.93亿元。
- 15 胡梅尔斯还把矛头对准了德国青训体系。
- 16 全球最大黄金ETF——SPDR Gold Trust持仓已连续四日获资金流入，从7月17日的999吨增至7月23日的1009.3吨，累计增持超10吨。
- 17 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。
- 18 在这场跨越近一个世纪的史诗中，巴西队以5次登顶的傲人战绩稳居榜首，是当之无愧的“五星王者”。
- 19 前者可以靠几千、上万家门店积少成多，后者却只能赌自己门口每天有没有足够多的人进来。
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