更关键的是资金状况，公司在宣布分红的时候，账上现金连分红金额都不够。

1、BOB足球 随着中国足球大环境变迁，金元足球时代落幕，马云淡出了恒大淘宝，张近东的苏宁足球也成了历史，万达与国际足联顶级全球合作伙伴的合作关系也发生了变化。

日本总身价2.63亿欧元，世界排名第17位，森保一主打3-4-2-1弹性阵型，可灵活切换4-2-3-1阵型。BOB足球同一个模型换一台机械臂、一个夹爪，甚至调整摄像头位置，表现都可能变化。

2、湖人VS火箭，太下饭了！

bit出货量只增了11%，ASP却涨了约57%。

3、「世界杯终于开始了」

公司目前拥有超500项授权专利，智能仿生手获美国FDA认证，是全球首家把非侵入式脑机接口做到大规模量产的企业。

4、46+12+11+5历史第一人！狂打31铁超科比！他会成为下一个巨星吗？

后防线上，鲁本·迪亚斯领衔的防线稳固可靠，坎塞洛、达洛特、努诺·门德斯等边路球员攻防兼备。

5、有趣好玩画质还猛，唯卓仕新饼干镜头AF 26/2.8 EVO上手试玩

主帅图赫尔赛后坦言：“结果很棒，但过程并不令人满意，我们今天很幸运。

英格兰以L组头名出线，小组赛2胜1平，1/16决赛2-1险胜刚果（金），1/8决赛3-2力克东道主墨西哥，1/4决赛鏖战120分钟加时2-1淘汰挪威，半决赛则在先进一球的情况下被阿根廷2-1逆转，遗憾止步四强。

据说OpenAI不止于挖苹果的人，马斯克就多次吐槽，他们机器人骨干也在被OpenAI挖，为此他不得不提高员工薪酬。

6、现代快报：佩德里将为苏州vs无锡开球，此前他刚获世界杯冠军

” “将存储变为‘算力的放大器’，这不仅是技术选择，更是AI基础设施走向普惠的必然路径，算力平权的‘iPhone时刻’也终会到来。

身边的人都在卷，但卷的前提是"知道往哪卷"。

7、开拓者7人上双力克掘金 杨瀚森13+5+3+4帽填满数据栏

锋线支点恩博洛的背身拿球与前场牵扯是瑞士反击战术的重要一环。

另一个看点是60分钟体能线，塞内加尔高强度逼抢能否在前一小时建立优势，挪威又能否在后程利用对手体能下降的机会发力。

8、诺斯科娃进决赛：学好发接发走遍天下都不怕，请认准捷克技校！

在Anthropic阶段性跑赢OpenAI的过程中，被大厂和DeepSeek不断挤压生存空间的其余国产大模型公司们，看到了一条有效的突围路径——不是先争夺最大的用户规模，再围绕超级应用搭建生态，而是先建立模型能力优势，进入Coding等高价值生产力场景，通过API、企业工作流和真实任务形成商业闭环。

只有当 AI 生成的模型足够可打印、可装配、可使用，它才会变成下一次启动机器的理由。

两队历史上共有12次交手，英格兰取得7胜3平2负占据明显优势，不过最近一次对垒还要追溯到2014年的友谊赛，当时英格兰取得1比0小胜。

9、湖人官宣续约里夫斯：4年1.85亿创落选秀历史纪录 获赞球队基石

“最快6个月”仍是知情人士给出的预期，而非公司正式发布的上市计划。

Maker H01既是产品，也是采集数据和检验模型的工具。

10、3年3800万！曾被湖人退货的中锋，正式续约！

目前，国米和那不勒斯已成功上岸，米兰与罗马同积70分，前者凭借相互比赛战绩占优排名第3。

第三，是年轻扁平化的组织架构。

1、风城新旗手！“老派新秀”威尔逊带给公牛复兴曙光

周一已归队参加季前训练的特尔施特根，正在等待巴萨的最终许可，随后便将前往阿姆斯特丹完成各项手续，正式成为阿贾克斯的一员。

2、保罗离队真相曝光，这操作不是第一次了！下一战去雷霆还是火箭？

连续三届霸榜：西蒙尼体系的“国脚孵化器” 这并非马竞在世界杯决赛舞台上的昙花一现，而是其长期统治力的集中体现。

3、当《叹春风》舞者穿上肉色“老头背心”，姐姐们不买账了？

简单来说，DNA合成服务就是“按需定制基因片段”的工厂。西班牙世界杯夺冠3天后，荒谬一幕接连上演，梅西也被牵连本场比赛的绝对主角，无疑是法国队那两位具备金球奖实力的顶级攻击手。

4、山东高速男篮一家人要珍惜当下

” 换句话说，养宠物的麻烦，恰恰是情感升温的关键。

5、迎回老队长？广东男篮正接触周鹏有望回归 曾效力16季豪取8冠

然而，简单的数字对比并不能完全定义“最佳”的内涵。

6、杜锋朱芳雨为何接连离开广东? 听媒体人怎么说, 苏群点评一针见血

伊涅斯塔在约翰内斯堡之前，在西班牙足球的地位已经无可撼动。

如今，他们不仅以37场常规时间不败追平了意大利的国家队纪录，更带着欧洲杯冠军的底气，向队史第二座世界杯冠军发起冲击。

在火速引进拉莫斯和希拉两名新援后，AC米兰的夏季转会窗口进入了先出后进的阶段。

7、2026去哪儿消夏？去澳大利亚昆士兰反季清凉

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。

产量增速远高于装车增速，相当一部分产线在空转。

8、切尔西介入引身价暴涨，19岁新星标价3500万欧，意甲四队更难了

工业智能、车载算力、本地大模型、智能家居的全面落地，让FPGA、SoC、物联网MCU芯片迎来快速增长期。

此后，双方互有攻守，费利佩在尾声阶段的一脚爆射遗憾击中横梁，错失了绝杀比赛的绝佳机会，这也成为了本场比赛的一大遗憾。

其次是核心球员的“天才对决”。

面对线上业务的收缩，滔搏董事会主席于武公开回应称，理解并尊重耐克基于长期发展战略做出的渠道调整决策，坚信中长期看将推动零售生态更加健康有序。