微软2026年Capex预计约1900亿美元。

1、ob体育 这些需求拼的不只是成本，更是技术适配、项目交付能力和全球合规功底。

财报会依然没有给出具体产量和正式搭载付费乘客的时间表。ob体育在此后的几十年里，英阿每一次交锋都在不断叠加情绪，形成了一个难以打破的“恩怨闭环”。

2、祝贺！湖南“两优一先”表彰名单来了，邵阳上榜的有......

但他留下的精神遗产，将如同塞内加尔海岸的灯塔，永远照亮后来者前行的道路。

3、旭烈兀的地盘比别人还大，还执着于山西的农户，究竟是怎么回事？

然而，资本市场为这个“里程碑”给出的评分是：不及格。

4、世界杯最被低估之人！西班牙夺冠隐形功臣！决赛封神连斩两大冠军

一度被称为“网约车之王”的广汽埃安，这几天始终被挂在热搜上，接受来自司机群体的“审判”。

5、国务院成立广西南宁横州市六蓝水库“7·6”溃坝灾害调查评估组

三狮军团的难，难在过度依赖核心球员，难在缺乏能够真正分担压力的轮换阵容。

小组赛阶段三战全胜头名出线，1/16决赛3比0横扫瑞典，1/8决赛遭遇巴拉圭的密集防守，凭借姆巴佩的点球破门1比0小胜过关，1/4决赛面对上届四强摩洛哥，姆巴佩传射建功，登贝莱锁定胜局，最终2比0零封对手晋级。

整体来看，公司的转型思路清晰：不涉足终端制造，深耕上游核心材料。

6、27位学徒交出135件“成长答卷”！江苏文艺“名师带徒”计划2025年度展览见证艺脉薪传

Kimi K3的走红，让市场再次校准了对月之暗面的预期。

「明星朋友」演艺互动成为泡泡玛特IP进入更大场景，打破圈层的有效方式。

7、挪威VS英格兰：英格兰实力碾压，哈兰德孤掌难鸣挪威恐难爆冷

本届世界杯，皇马最初仅有9名上赛季阵容中的球员出征，分别是库尔图瓦、吕迪格、楚阿梅尼、巴尔韦德、居莱尔、贝林厄姆、卜拉欣、维尼修斯和姆巴佩。

如果等不到，莱比锡已准备好为他翻开职业生涯的下一页。

8、CBA新消息，上海男篮拒绝洛夫顿超200万要价，高诗岩留守山东，辽宁追新星

近期，全球AI算力产业链的高热度引发市场警惕，此前知名投资人巴菲特就曾在接受采访时就表示，当前美股市场愈发由短期投机交易主导，而非长期投资。

拜仁慕尼黑与米兰处于同一梯队，同样在1亿欧元级别，分别引进了前锋赛巴里和左后卫布朗。

第一次，让滔搏学会不能只依赖耐克；第二次，则说明了一个更残酷的事实：再强的运营能力，也抵不过品牌所有权。

9、央行新版多用途预付卡监管新规将落地，四大调整重构行业生态

这种打法虽然简单，但非常实用，尤其是在淘汰赛这种容错率极低的比赛中。

今晚，图赫尔的选择让我们付出了代价。

10、美国晋级喜忧参半；巴洛贡停赛，如何“复仇”比利时？

长鑫目前HBM产能约5000片/月，在26.5万片总月产能中占比不到2%。

但硬币的另一面，是特斯拉在利润端的全线承压。

1、穆里尼奥眼光封神！8000 万巨星自毁皇马路，世界杯决赛全场隐身

接下来要拿出足够的证据和时间。

2、沃尔夫斯堡签下达马尔，五年合同助力升级

记录收割机与“诚信互刷” 如果说比分是一场视觉盛宴，那么个人数据的井喷则让这场比赛充满了“人情世故”的味道。

3、仅用26场轰下500分+150助攻 新秀迈尔斯连超克拉克与布克创WNBA历史最快纪录

7.17 WAIC UP！AI三极夜话 现场照片 困局：“赚钱难”是共识 尽管 Jobright.ai 的年经常性收入（ARR）已超过 700 万美元，并已实现盈利，正在向 1000 万美元 ARR 的目标迈进，郑玉典依然认为：“赚钱难是 AI 创业的本质问题之一。今日升级上线！免费！四川高考生必看综合来看，法国的整体实力与淘汰赛经验略占上风，全胜战绩与攻防两端的均衡性是最大优势，但面对擅长控球的西班牙，反击空间可能被压缩。

4、泸州市教育考试院2026年高考录取温馨提示

不过萨利巴缺阵让球队防空能力下降，阵地攻坚手段相对单一，中场人员储备有限，持续控球后体能下滑明显，这些都是球队短板。

5、白袜历史今天：1931年罕见三重杀难挽惨败，皮尔斯铜像揭幕

线上渠道将全面转向品牌直营，未来耐克产品将仅通过天猫、京东、抖音三大主流电商平台的品牌官方旗舰店，以及耐克官网、官方APP进行售卖。

6、何塞·卡巴列罗炮轰MLB新规：“只盯着我一人，其他人照样不管”

第二种游戏也没有纸面上那么轻松。

2026财年下半年，东方甄选的净溢利预计达到了2.81-3.11亿元，相较2025财年下半年，同比增长了172.8%至201.9%。

球王梅西，真的太燃了！勇敢者的加冕，才刚刚开始。

7、邮报：阿莫林出任米兰主帅，将为曼联节省1000万镑

现在这家公司不仅供北方华创自用，还成了同行的供应商。

斯卡洛尼麾下的阿根廷主打4-4-2传控体系，断球后快速推进找梅西完成终结。

8、摩擦再起！美国公布新关税措施，警告欧盟勿破坏跨大西洋贸易稳定性

进球不再是把球踢好的自然结果，而成了衡量他这个人到底有没有价值的唯一标准。

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。

他还表示，下一代前沿竞争需要更大规模的基础模型，谷歌正在训练Gemini 4，投入“非常有野心”，内部进展令人振奋，相信它将是保持前沿竞争力的关键。

这种史诗级的叙事，是任何俱乐部荣誉都无法比拟的。