过去很长时间里，它更多停留在实验室和科幻作品中；如今，随着电极、芯片、算法与临床技术不断成熟，这项技术终于开始从“读懂大脑”走向帮助患者重新行动、交流与表达。

每天赚2.4亿！宁德时代上半年净利润预增42%，拟以200亿元-400亿元回购股票注销，每10股派息14.11元

48593 ★

摘要：2026世界杯，你看好谁夺冠呢？随着2026年美加墨世界杯1/4决赛的硝烟散尽，本届赛事的四强版图终于完整拼图。

其中尤文图斯的投入最多，斑马军团24/25赛季花费2.014亿欧元，次年1.371亿欧元，总计3.385亿欧元。

1、亚美登录从上任后的训练情况看，在阿莫林的战术体系里，米兰已经从阿莱格里时代常见的低位防守转为同步化前场压迫，丢球后必须在5到8秒内完成反抢，目标是把对手的球路驱离向外线，封堵向内传递通道，迫使对方开大脚。

但“产能过剩”这个标签不够精确。亚美登录阿劳霍：零分钟的伤痛把阿劳霍放在"输家"一栏，没有半点快感。

2、中卫交警致全市高一新生家长的一封信，家长们看过来，事关上学……

一部分原因是他们在最近几场比赛中的表现不佳，另一部分原因则是这些球员被认为卷入了管理层派系争斗。

3、美国运通(AXP.N)跌超5%，Q2业绩喜忧参半，营收不及预期、上调全年指引。

先进封装规模化落地，正彻底改写封测行业的盈利逻辑。

4、张雨绮豪气包下30场《功夫女足》！给全体员工放假，网友：这样的老板哪里找？

在欧冠资格悬而未决的最后两轮，这或许是阿莱格里为数不多的能够打得出去的牌了。

5、建议大家：这5种“生活用品”，越便宜越要绕着走

一条曲线特点是，涨跌跟随投入的本金比例；另一条曲线特点是，损失提前限定，收益却可能随着行情加速数倍或者更多。

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。

魔法原子发布的大部分也都是技术相关职位，月薪3万到9万。

6、官宣！山东连签两将

江波龙：控股股东提议4亿元至8亿元回购公司股份 7月23日，江波龙公告称，公司收到控股股东、实际控制人、董事长兼总经理蔡华波提议，使用自有或自筹资金以集中竞价交易方式回购公司股份，回购资金总额不低于4亿元且不超过8亿元，回购股份将用于股权激励或员工持股计划。

”本周四，英格兰队将在世界杯半决赛中迎战阿根廷，这场对决被视为本届赛事迄今最具火药味的较量。

7、白鹿官宣离开欢娱！十年约满不续，发文感谢于正：你给了她转动命运的钥匙

“他们踢得更好，这是事实。

贝西克塔斯曾开出1200万欧元外加中场奥纳纳的条件，但被博洛尼亚毫不犹豫地拒绝。

8、男篮世青赛太惨了！最后1分钟领先5分被绝杀：中国队遭逆转吞恶果

GLP-1类药物驱动了礼来约80%的经济价值，这个数字本身就是对当年那个错误决定最响亮的嘲讽。

从历史交锋与心理层面来看，西班牙队近年来在面对法国时展现出了极强的战术克制力，近五次正式比赛交手赢下三场，包括2024年欧洲杯半决赛的逆转淘汰。

两种诉求没有绝对对错，只是受众喜好不同，可正是这种天然的多元需求，让厂商的尝试都极易陷入众口难调的困境，引发争议成为必然的结果。

9、停中国航班，抱紧美国大腿，如今这个国家经济崩了又回头喊话中国

但模型究竟是在真正预测动作后果，还是主要根据训练数据进行模式匹配，外界并不容易判断。

美加墨世界杯L组末轮，克罗地亚与加纳殊死一搏，两支球队将为争夺出线权直接对线。

10、郑州郊区大量村民摸知了猴，有人一晚摸上千只，赚八九百元，网友质疑破坏生态平衡，专家回应

三层溢价能不能站住，取决于几个硬条件。

现在回头看，能拥有第一天相遇时的那些照片，真的很特别。

1、广州近视手术哪家医院好？越秀区 5 家主流眼科机构综合测评

管理层更迭、主帅人选、体育总监的任命全都没有着落。

2、宏远速递！陈老板做重要决定，王少杰买断新动态，萨姆纳主动降薪

今年6月17日，AI情感陪伴硬件公司Robopoet珞博智能宣布已完成数千万人民币的天使轮融资，其中包含此前曾表示“不看好早期具身智能项目”的金沙江创投管理合伙人朱啸虎。

3、曼联考察埃德森替代者，戈麦斯亦成候选！已定转会被取消细节曝光

这个愿景很大程度上来自创始人Dario Amodei施加的个人影响。中卫硬核特产！石缝硒砂瓜爆甜上市，远销全国各地尽管曼城有强烈兴趣，但里尔1亿欧元的要价可能成为一大障碍，这家法国俱乐部目前丝毫没有降价的意愿。

4、潍坊昌邑：盐碱地上药草香 “种”出致富好日子

显然，亚特兰大将放弃2400万欧元的买断权，米兰不但会损失掉一笔可观收入，还要重新规划球员的未来。

5、最新

光模块有多重要呢？在AI数据中心里，成千上万块GPU需要协同运算，彼此之间每时每刻都在吞吐海量数据。

6、韩国运动医学专家朴垠奎先生加盟北京国安足球俱乐部

西班牙用一场2次射正打入2球的高效率完胜本届世界杯头号夺冠热门、之前6场比赛豪取六连胜的法国队。

交易的财务细节未披露，IBM收购HRL需遵守惯例的成交条件和监管批准。

巴萨因此预判，届时将再次跌出“1比1”规则范围，2027年夏季转会窗的引援注册将受到限制。

7、本-华莱士在魔术打球的艰难岁月

两到三年的验证周期。

他把这些标的全标成了“凸性机会”。

8、从Token Capital到企业认知主权：别把大脑交给大模型公司！

具身智能赛道最猛融资速度极佳视界的融资速度，几乎是按月计算的。

2024年再夺美洲杯，让梅西带着连胜之势来到这届世界杯。

中国企业造芯片，要买欧美巨头的设备和零部件，有关这些设备的技术被卡、零部件被卡、工艺被卡、连维修服务也被卡。

鲜食本来就是便利店的核心品类，7-Eleven 此次在江苏落地 7 鲜零食，依托的是华东区域成熟的鲜食供应链网络，但如果要复刻华北、西北等弱势区域，就必须配套对应的生产基地和冷链体系。

2026安徽“军校摇篮”录取数据统计，30人被14所军校录取，占多所军校总投档比5%+ 再便宜也别买！这5个“害人不浅”的家居产物，该扔就扔美股光通信、云计算服务商板块走低图赫尔回击换人质疑：不后悔！本届最佳1战，总有百万人自认比我懂球

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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. 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(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。

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