02 算力芯片，跑出第二增长曲线 7月16日晚，海光信息、摩尔线程两家GPU龙头企业发布上半年业绩预告，其中摩尔线程预计今年上半年营收16.5亿元至17.5亿元，同比增长135.12%至149.37%；海光信息预计今年上半年实现营收85亿元至93亿元，同比增长55.56%到70.20%，归母净利润17亿元至18.3亿元，同比增长41.50%至52.32%。

1、kok平台网址 一个漂亮的词不会提高工资，更不会降低房租。

对于志在夺冠的球队而言，如何应对这类突发伤病、保持阵容稳定性，已然成为本届世界杯征程中不可忽视的课题。kok平台网址这就是算力短缺和资源闲置能够同时存在的原因：用户缺的从来不是一张卡，而是一套“开箱即用、运行稳定、故障兜底”的计算环境。

2、金融活水精准滴灌产业沃土！成都这场政策解读会解锁企业全周期融资新红利

加州和部分州的ZEV积分框架依然存在，但仅靠区域市场，再难重现单季七八亿美元的进账。

3、篮网有意签下自由球员特雷·杨

费兰、戈登双双上涨 世界杯决赛打入制胜球的费兰·托雷斯也迎来了身价提升。

4、湖人休赛期大换血：佩林卡操作能否赢得球迷信任？

战术风格：高压逼抢vs低位防守 乌拉圭在名帅贝尔萨的调教下，主打全场高压逼抢战术。

5、山东高速男篮：八强出局不是终点，是重建的起点

纽约新泽西大都会球场，第106分钟，费兰·托雷斯一脚定乾坤。

后两层溢价全是零。

2026 年正成为 AI 产业的"IPO 大年"，全球头部玩家集体涌向资本市场。

6、正式确定！CBA顶级大外援完成转会，加盟北控男篮

问题在于，马竞至今纹丝未动。

产品只需要把体验做得更好。

7、放弃4232万美金球员选项！哈登公开招募老詹，骑士要做最坏的打算

费兰·托雷斯有机会用第二次触球就成为英雄，但他无人盯防的头球，依然直直顶向阿根廷门将。

穆西亚拉负责盘带突破撕裂防守，维尔茨掌控节奏送出致命直塞，两人世预赛联手贡献12球8助攻。

8、你也AK47？官方：湖人双向合同签下亚瑟-卡鲁马；队史首位47号球员

随后，全国多地国资母基金及政府引导基金相继按下“暂停立项”。

科特迪瓦则走铁血防守加双翼齐飞的路线。

按照最初的计划，俱乐部将马丁内斯视为第一人选，并预期世界杯结束后谈判会变得更加顺畅。

9、赶紧走人！北京首钢功勋老臣合同到期面临退役，本赛季场均3分2助

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。

由于淄博瑞光2025年新建1台50MW燃煤背压式发电机组、1台8MW生物质发电机组、260t/h燃煤锅炉和75t/h生物质锅炉，已于2026年1月正式投产，预计将增加其2026年的营收，公司在收购淄博瑞光股权时采取收益法评估，估值6.80亿元，增值率108.05%。

10、拿下世界杯版权，小红书如何打造“每个人”的世界杯

本届世界杯轰入8球的梅西，在终场哨响后径直走向亚马尔，凑到他耳边说了几句话。

防守端挪威保持4-4-2紧凑阵型，依靠中场的跑动和防线的身高优势限制对手。

1、爆冷！女排1-3不敌鱼腩球队 全员进攻糟糕，庄宇珊虎头蛇尾

关键对位方面，哈兰德与库利巴利的直接对话最值得关注，当世顶级中锋对阵非洲顶级中卫，两人的较量很大程度上决定比赛走向。

2、豆瓣6.7，小黄人口碑翻车成了“美国奶龙”？

39岁的梅西与19岁的亚马尔，这两位跨越了19年时光的巴萨两代10号，即将在世界杯决赛的舞台上迎来历史性的直接对话。

3、“全网最爱发钱老板”，又给员工发钱了

在他看来，贝林厄姆在顶级舞台上的影响力以及决定比赛的能力，使他成为接替凯恩袖标的天然人选。今年一月马拉松国内总奖金超190W，朱卿丰配友领衔月度奖金榜不过从长远发展考虑，米兰很难给予阿根廷人一份正式合同。

4、还不够，图片报：多特3400万欧固定费用+600万欧奖金报价马拉

其中有的属于科技圈，有的属于消费圈，有的已经功成身退，有的仍在风生水起。

5、热身赛罗马6比0大胜 荷兰国脚马伦首秀三分钟破门

另一方首发是托莫里、加比亚、泰拉恰诺；阿泰卡梅、里奇、穆萨、卡拉卡；洛夫图斯-奇克、盖尔尼耶；卡马尔达。

6、正式官宣！1米95后卫新星完成签约，加盟新疆男篮

在审计、巡视对“明股实债”“变相增加地方隐性债务”进行穿透式检查的背景下，所有未打款、未完成备案的项目必须重新进行合规审核。

法国本届世界杯延续了2018、2022两届赛事的强势表现，六场比赛全部取胜，累计打入16球仅失2球，场均2.67球的进攻效率位列32强之首。

但在新能源时代，三电终身质保是整车厂喊出来的口号，电池供应商却躲在后面。

7、CBA最新消息！后卫新星加盟辽宁男篮，皮特森确定签约

但现实是残酷的，亚沙里不仅没能展现出在瑞士联赛时的灵气与掌控力，反而在对抗和节奏上完全跟不上意甲的要求，如今他的出场顺位已经排在了里奇之后。

通用模型难以在短期内覆盖的垂直场景，也是 Jobright.ai 建立差异化优势的重要空间。

8、贝林厄姆送走哈兰德：英格兰天命之子！

2022年，碳酸锂价格冲高至60万元/吨的历史峰值，天齐锂业全年狂赚159.81亿元，毛利率高达81.6%；2023年锂价虽有所回落，但整体价位依旧偏高，公司全年净利润仍达80.99亿元。

不过，这种陌生的正赛遭遇战往往充满变数，尤其是对于习惯慢热进入比赛状态的欧洲球队来说，塞内加尔开场阶段的高强度压迫可能带来意想不到的麻烦。

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。

然而，这场比赛的门票热度远超其他场次，其背后承载的早已超越了单纯的体育竞技，而是两国跨越近两个世纪的历史纠葛、政治对立与民族情绪在绿茵场上的集中爆发。