一签赚4300到8300元。

1、人人体育 曦智科技在光算力产业论坛上基于此提出了“光³”概念，希望构建从芯片到系统的全栈式光算力版图，与产业链企业在生态协同中推动光的商业化进程。

Counterpoint发布的《存储价格追踪报告》显示，2026年第一季度存储芯片价格的大幅上涨，导致手机物料成本(BOM)成本环比增长超过20%，其中入门级产品受到的冲击最为严重。人人体育退役球星中也不乏斯科蒂·皮蓬、安东尼·沃克这些投资失利，甚至申请破产的先例。

2、“弟弟拆了姐姐的通知书，我把女儿骂了一顿”，低认知家长的操作被群嘲

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

3、媒体看兴县 吕梁日报｜“晋绥黄河湾杯”第四届兴县蔡家崖足球赛成功举办全国12支革命老区足球队绿茵逐梦

而其他渠道则的价格则低至500多元。

4、企业糊弄、监管“放水”，撕开“纸面安全”遮羞布

更加精准有效实施逆周期调节，推动中长期资金稳步提升入市规模和比例，加强应对全球市场波动和风险跨境传导的政策储备，筑牢防范外部风险冲击的防波堤防浪堤。

5、泪目！中国女网28岁双打新王温网夺冠：连克世界前二，奖金691万

举个具体的：同样在深圳，大厂算法实习月给过万，而一家本地广告公司的文案实习可能只有 1500 还不含饭补。

综合来看，比利时无疑占据明显的优势。

RoboChallenge的情况类似。

6、广东最新训练动态！徐杰归队，任骏飞指导，全员强化体能！

本场比赛，西班牙队极致的传控打法再次让法国队的中场陷入瘫痪。

说到底，就是这样。

7、34号秀三场轰85分打疯了！4点证明骑士次轮捡到宝 哈登再添好帮手

更加精准有效实施逆周期调节，推动中长期资金稳步提升入市规模和比例，加强应对全球市场波动和风险跨境传导的政策储备，筑牢防范外部风险冲击的防波堤防浪堤。

佰维存储预计2026年上半年实现营业收入150亿元至160亿元，同比增长283.40%至308.96%；预计2026年半年度实现归属于母公司所有者的净利润70亿元至75亿元，同比增加3200.15%至3421.59%。

8、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

它们有自动驾驶积累的大规模训练系统、成熟的工程体系和供应链能力，缺的机器人接触数据可以通过收购或合作补上。

目前，巴萨已经签下了安东尼·戈登，阿德耶米的加盟也接近敲定，阿尔瓦雷斯依然是锋线引援的首选目标，俱乐部还对在窗口关闭前签下坎塞洛抱有信心。

这名巴萨边锋与凯恩搭档锋线，他的进球一度看起来将成为英格兰世界杯历史上的经典瞬间之一。

9、马刺29分大胜森林狼，3-2！文班创2大纪录！一战看清5个现实

智元年出货数千台，银河通用手握宁德时代和丰田订单，宇树量产能力最强还在冲科创板。

而期货以碳酸锂2609为例，其在5月13日盘中创下20.65万元/吨高价后便持续震荡下行，到7月21日盘中最低价13.68万元/吨，区间跌幅近34%，即便最近两日反弹，累计跌幅依然在30%。

10、环法2026第18赛段：卡拉帕兹突围摘赛段；波加查副将退赛

2025年的业绩会上，耐克执行副总裁兼首席财务官马修·弗兰德（Matthew Friend）曾表示，“折扣销售占比上升、降价幅度扩大、销售相关退货增加、批发折扣提高，以及为清理市场库存产生的高额报废费用对大中华区的盈利能力造成了巨大的影响。

伊劳拉在英超的执教风格素来以"极端波动"著称——他曾经打出过18场不败，紧接着就是11场不胜。

1、持续半个月的相互拉扯，哈登赢得尊重和认可！詹姆斯团队该妥协了

这是数字19的奇妙交织，更是足球世界关于传承、宿命与热爱的最美注脚。

2、许利民怒批球员摆大牌！赛后整顿更衣室，怒批一人不是周琦而是他

（本文首发于钛媒体APP，文｜TechPulse，作者 ｜ 张帅，编辑 ｜ 盖虹达）7月21日，外媒报道称，世界模型创业公司极佳视界（GigaAI）正在讨论最快于2026年赴港上市。

3、名记曝詹姆斯自由市场计划：盼与欧文浓眉重聚，热火却闹乌龙发他加盟直播

储能毛利率方面，降幅更为惊人：从39.5% 骤降至 20.4%。运动人的专属浪漫被 Keep 拿捏住啦！个人PB纪录实体徽章上线10月Q3财报，只需盯住三个数字：监管信贷收入是否继续萎缩，研发费用率能否回落，残值担保敞口是否还在膨胀。

4、吴前队友合同到期！荒废两赛季，33岁面临退役，和俞长栋没法比

作为预热阶段的亮点，贝克汉姆亲自在社交媒体发布“一包乐事直达FIFA世界杯”活动，号召消费者打开乐事活动装，赢取世界杯现场观赛的机会‌¹。

5、鬼冢虎 Onitsuka Tiger 开启独立运营时代

从目前公开的训练情况来看，球队整体氛围良好，队员身体状态恢复顺利。

6、曼城主席揭秘瓜迪奥拉离任幕后故事：十年间曾上百次提出辞职

在产业转型升级的窗口期，旭阳新材为什么会出现这些问题与疑点？疑点是否反映了经营底色的深层问题？ 疑点一：大额分红，钱去哪了？ 一个家庭年收入6万，突然宣布要花7.1万办酒席，但家里存款只有4.4万，办酒席的钱大部分是东拼西凑，拖了一年才付清。

十年后，大模型进入推理密集期，智能体反复调用模型，长上下文带来更重的输入负载，算力的衡量方式也更关注单位token的性价比。

那么米兰目前的目标是谁？意大利媒体认为大巴黎的葡萄牙前锋贡萨洛·拉莫斯是最大热门。

7、劳塔罗一个点赞，让斯卡洛尼的决赛战术彻底翻车7月20日，世界杯决赛

但对这位少年而言，个人纪录远不如团队荣誉重要。

不过图拉姆和劳塔罗·马丁内斯两名锋线核心都将因世界杯归队较晚而缺席本场比赛，这对国米的进攻端影响较大。

8、“伤胃水果”被揪出，4种水果可能会加重胃病，再喜欢也建议少碰

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。

Moncler集团上半年营收增长9% 近日，Moncler集团发布2026年上半年业绩。

Robotaxi至今无收入指引，连测试范围都在摇摆；FSD在中国和欧洲等着监管开绿灯，批准进程完全不可控；Optimus更是处于实验室向工厂试点的漫长隧道里。

最近，全网都在帮量贩零食算账。