同时，这也反映了公司财务内控的缺失，实控人持股比例过高、话语权较强导致与公司之间的资金往来过于随意，令人担忧。

1、开云官方app 按照汽车业务收入和交付量粗略折算，特斯拉每交付一辆车对应的汽车收入，从一季度的约4.53 万美元降至二季度的约 4.27 万美元。

展馆里不少是熟面孔。开云官方app如何让自己的产品和品牌理念更符合中国消费者的审美，同样是一道无法回避的课题。

2、断舍离后：我发誓不再买的7个家居物品，个个无用又鸡肋！

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。

3、业界首个！5万国产卡跑出万亿模型，这家大厂抢人决心藏不住了

一个典型的证据是：在汽车毛利率越来越低的情况下，特斯拉依旧在大举投入到物理AI 的各个方面，或者说，特斯拉正在用汽车业务赚来的钱，去押注一个尚未兑现业绩和贡献的物理AI 未来。

4、天河上半年GDP领跑全市，“含新量”与“含金量”齐升

对于阿根廷队而言，如何在场外风波的干扰下保持专注，将是他们备战决赛的最大考验；而对于国际足联来说，如何在维护规则严肃性与保障赛事顺利进行之间找到平衡，同样是一道棘手的难题。

5、彭于晏意大利小镇遛狗被偶遇！牵两条大狗悠闲漫步，对粉丝合影来者不拒_网易订阅

世界杯四分之一决赛，英格兰在迈阿密2比1险胜挪威，贝林厄姆再次当选全场最佳，又一次用惊艳表现扛着球队往前走。

阿莫林最受红鸟财团器重的能力是擅长培养年轻球员，战术打法先进，完全符合米兰的建队思路。

从盈利水平看，太洋科技的体量远超市值不到50亿的超卓航科。

6、突发6.2级地震！绍兴有震感！窗户、灯都在晃动……

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。

特斯拉还同步研发「数字Optimus」——一个能自主操控电脑的数字智能体，与 SpaceX 联合开发，Grok 作为顶层调度。

7、让中医药在乡村社区“活”起来（无影灯）

尤文图斯典型的例子包括库普梅纳斯和道格拉斯·路易斯，两人花费近1.1亿欧元，还有尼科·冈萨雷斯、劳埃德·凯利以及奥蓬达，后者本赛季34场比赛只打入2球，租借费略超300万欧元，强制买断费4000万欧元。

格列兹曼的退役、博格巴的禁赛复出后状态全无以及坎特的老去，让法国队失去了过去几年赖以生存的战术基石。

8、浙江杭州一男子在台球厅拍女助教屁股，女子报警称其猥亵，男子：我消费上万元，感觉跟她很熟，警方：该男子被依法行政拘留

不过，由于酷睿程仍处于烧钱研发阶段，该公司目前持续处于亏损状态，地平线机器人的投资亏损也在提升。

而且跑步市场虽然盘子大、热度高，但想分块蛋糕的品牌也着实很多，除了昂跑和HOKA，特步收购的索康尼也是非常强力的对手。

这不是市场波折，是法律地基被抽走了。

9、李飞飞学生发起国际具身人类数据标准，光轮智能成唯一参与中国企业

按区域市场划分：亚洲2026上半财年营收5.929亿欧元，同比增长19%。

周一晚间，罗杰斯不仅通过了切尔西的体检，还签下了一份为期六年的合同，其中包含俱乐部可以选择延长至第七年的条款。

10、《艾尔登法环：褪色者版》全新职业！开局属性曝光

7月22日晚间，超卓航科（688237.SH）披露控制权变更公告，实控人李光平、王春晓、李羿含一家三口与太洋科技签下股份转让协议，以每股42.80元的价格合计转让26.58%的公司股份，交易总价约10.20亿元。

本周一，巴塞罗那2026年季前备战在甘伯体育城正式拉开帷幕。

1、丰配友的轶事及某品牌赢麻了

但放在整个竞争格局里看，它的位置其实有些微妙。

2、世界杯32强出炉：亚洲2队+伊朗出局！欧洲13队+南美5队+非洲9队

阿尔特塔现在只能祈祷这名防线支柱不要缺阵太久。

3、现代汽车二季度营收创新高，营业利润下滑逾两成_网易订阅

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。翔楼新材董事唐卫国减持3.82万股，减持金额146万元阿根廷四场淘汰赛制胜球全部出现在九十分钟之后，他们的韧性与大心脏展露无遗。

4、独家对话多位“商界木兰”：逆风不下牌桌，重新定义“她力量”

瑞典人将用40天的时间重塑管理层，他目前正在关注美职联球队纳什维尔的CEO，以及沙特联球队吉达国民的前任体育总监。

5、Claude Code之父的夜班AI军团，Fable 5两个命令搭好

阿尔及利亚人的年薪高达400万欧元，尽管克罗地亚球队只需承担一小部分，但买断后将很难全额负担。

6、皇家社会与勒巴比尔续约至2028年

这种「好」包含两方面，它需要有帮助IP破圈的拉新能力，也要有让粉丝产生更深情感共鸣的连接能力。

他的未来，远未落定。

” 上述的锂盐企业人士也谈到，短期价格波动不改长期发展趋势，新能源产业的战略价值持续凸显，叠加储能、人形机器人等新兴赛道扩容，将长期拉动锂盐及锂电上游材料需求增长。

7、启鸣达人首发《世界模型驱动的教育AGI白皮书》

不少市场观点预判，长鑫科技登陆资本市场后，市值有望站上3万亿元关口。

7月19日，鹏城实验室与全球计算联盟联合发布了《超节点定义与实践白皮书》，首次明确：超节点是一种在物理上由多个计算节点通过高效的互联协议紧密连接组成，具备跨物理节点统一内存编址能力，逻辑上具备“一台计算机”特征的计算系统。

8、苏州市区冒出大股浓烟？消防部门核查确认：苏州近期无相关火情_网易订阅

而且除了年薪，转会费也是一笔不小的开支，利雅得新月当初买他花了不少钱，肯定想要收回部分成本。

"拉菲尼亚会留下，我们无意让他离开巴萨，他是一名关键球员。

第45+2分钟，戈登左路传中，贝林厄姆得球后突入禁区，在失去重心的情况下冷静推射远角得手，将比分扳为1-1。

来到法兰克福的格拉斯纳迎来执教生涯的顶峰，他率队在欧联杯13场比赛未尝败绩，一路淘汰了巴塞罗那、贝蒂斯和西汉姆联等豪强，决赛战胜格拉斯哥流浪者顺利捧杯。