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开源改写人工智能竞争规则_我的网站

一 |     Costume designer Smriti Chauhan is one of the creative forces behind Ranveer Singh’s look in Dhurandhar. She says the film’s now-viral bearded avatar was born from months of iterative work, collaboration and a deep integration of costume with hair, makeup, lighting and performance. In an exclusive conversation with Filmfare, Chauhan breaks down the meticulous process, from conceptual sketches to 40-metre salwars and silicon jewellery designed to survive high-octane action.          Region, story and technical precisionChauhan reveals that the idea of a full beard was rooted in the character’s geography and cultural background. “We knew there was going to be a beard because of the region he comes from, what he’s performing and who he is,” she says. The hair and makeup team played a decisive role as well. They dictated the skin tone, lens colour and texture choices that needed to sync with her costume palette. “Costume and hair and makeup cannot be separated,” Chauhan emphasises. “The look comes alive only when all three, costume, HMU and lighting - work in harmony.”Ranveer’s inputs and a sharp eye for detailChauhan was nervous as she met Ranveer Singh for the first time while working on the movie. However, she says that the actor immediately put her at ease. But Singh was far from a passive participant. He dissected materials, cuts and accessories with precision. He’d ask, ‘Why linen? Why not silk? Why this jewellery? Why this structure?’ According to the designer, his questions pushed her to have solid answers.Smriti also shares, “And when you have the answers, it gives you more clarity. So with Ranveer, he ensured that he helps the two of us get clarity on the character. He also added some technical bits. He asked me to add a wire on the collar so that it stays like that when he is moving around.”          Ranveer’s physical transformationOne of the biggest challenges for Chauhan’s team was designing for a body that kept changing. Ranveer bulked up for a portion of the film and then shed weight rapidly for another. “We had to ensure that with every change in his body, the clothes didn’t show that change... The look had to stay consistent,” she shares.The character evolves from a street nobody to someone big. The costumes had to mirror his transformation. Initially, his look is rooted in ruggedness. “So all of this came together working very closely with him. We understood which materials are working the best and which is looking rugged. His entire journey in this film is like that of a nobody becoming somebody, like really big. So that journey itself was grand.”          The nightmare of action-friendly jewelleryLater, as the character rises in stature, accessories become key. Ironically, Chauhan had laughed off Ranveer’s early questions about accessories because of the heavy action sequences. But he persisted. “Cut to the first sequence in the teaser - he is loaded in accessories. I can tell you this, I’ll throw a rug on him and he’ll carry it with perfection. The next thing you know is that we have added so many accessories on him,” she adds.As the film is packed with lengthy action sequences, some shot over 10 to 12 days, Chauhan’s team had to create silicon jewellery that looked real but wouldn’t injure the actor or break under impact. “It was a nightmare but became necessary.”     The Balochi salwar challengeOne of the film’s most technically challenging pieces was the traditional Balochi salwar. The authentic garment uses 30 to 40 metres of fabric, which is impossible for action scenes. Instead, Chauhan’s team created prototypes using 17 to 20 metres. They experimented with fabric weight, fall, pleats and movement. “We kept making so many prototypes. When he wore it, it looked less; when we spread it out, it was huge. Overall, it was a massive learning experience,” she recalls.Months of prep, presentations and look testsThe team spent two to three months preparing Ranveer’s looks. They went through six different presentation decks and multiple iterations for each phase of his journey. Three comprehensive look tests were done even before shooting. Moreover, sudden scheduling changes accelerated everything. “We thought we’d shoot in October, but suddenly the shoot got pulled to July. We were like, ‘What?’ But luckily we had done early homework,” she recalls.The moment Ranveer called her a ‘Rockstar’Chauhan recalls one of her most overwhelming moments when Ranveer looked at the first major look test and told her he’d “never seen this level of detailing.” “Coming from someone who’s worked with the greatest designers worldwide, it meant the world. It pushed me to raise my own bar,” she says.Despite the scale, the pressure and the physicality of the film, Chauhan says Ranveer’s collaborative nature made the process smooth. “He is the best team player I could have asked for. His encouragement, his curiosity, his involvement - everything helped build the character’s world,” she quips.Also Read: Sara Arjun gives Dhurandhar co-star Ranveer Singh a moving tribute as she shares BTS photos。      近日，国内人工智能企业纷纷开源大模型。前不久，MiniMax开源H3模型，短短三天就在全球最大AI开源社区Hugging Face热度榜上冲到第一。此前，月之暗面宣布将最新旗舰大模型Kimi K3全量开源，这款模型是目前全球参数规模最大的开源大模型，海外舆论对此发出了“新一轮DeepSeek冲击”的惊呼。  中国开源人工智能模型在全球得到了认可。Hugging Face上，我国开源模型累计下载量居全球首位。

二 | 全球多模型聚合平台OpenRouter发布的2026年7月AI大模型调用量榜单，排名前五的产品都来自中国企业。

三 | 数据显示，我国人工智能开源大模型全球累计下载量突破100亿次。当前全球每10次大模型下载中，就有6次是中国研发的模型。

四 |   随着人工智能技术的不断发展，开源成为绕不开的产业共识。什么是开源？开源最早指开放软件源代码，在遵循许可限制的条件下，允许其他开发者使用、修改、再发布。在人工智能时代，开源的应用范围不断扩展，早已超出传统开源软件的范畴。业界有个形象的比喻，闭源好比厨师对菜谱严格保密，大家只能直接买成品菜吃，不清楚用料和做法，没法自己改动。

五 | 开源就是公开菜谱，大家可以按需调整改良，优化后的版本也能分享给其他人，带动更多创新。  开源的目的和好处就是开放共享、协作创新。开源大幅降低了AI技术准入门槛，中小团队不用从零开始打造技术底座，可依托成熟的开源成果快速开展进一步创新和垂直应用，节约研发成本，缩短落地周期，加快技术迭代升级，实现百花齐放。开放共享的模式汇聚全球开发者智慧，集众智、采众长，带来更多创新活力。开源还能有效推动AI普惠，助力工业、教育、民生等领域低成本智能化转型，并在全球协作中提升我国AI产业话语权。  开源并不等于免费。开源开放的是模型权重与使用权限，不代表零成本使用，模型落地运行需要算力、电力、网络等，都是实实在在的开销。这就类似前面提到的菜谱，菜谱虽然免费对外公开，但这不代表直接就能吃上成品菜。想要做出佳肴，仍要采购食材、购置厨具，还要花费时间精力动手烹制。

六 | 同时，开源受许可协议约束，有的场景存在商用限制，企业使用还需留意合规风险。认清开源与免费的区别，才能推动产业健康有序发展。  开源与闭源如同硬币的两面，各有优劣。

七 | 当前，开源软件项目数量不断增长、覆盖领域持续扩大，安全漏洞、信息泄露、密码管理等安全问题也随之凸显。

八 | 尤其是，AI模型能力的增强和应用边界的拓展，进一步放大了滥用风险，虚假信息、网络攻击等隐患不容忽视。

九 | 我国作为开源的后来者，在开源规则、标准等方面仍待补短板。由此可见，开源并非越多越好、越开放越好，而是在开放创新和安全治理之间找到平衡点，在释放开源活力的同时守住安全底线。  开源正重塑AI行业竞争格局。过去，少数企业依靠独家技术构筑壁垒赚取垄断收益，如今行业竞争重心转向生态与服务比拼。单纯的模型参数优势不再是核心竞争力，持续的技术迭代、完善的配套服务、丰富的生态应用，成为企业立足的关键。

十 | 企业通过开源吸引开发者共建生态，依托海量应用场景反哺模型升级，依托生态黏性实现商业化落地。

十一 | 这种全新的商业模式，让AI产业从单一技术竞争转向全方位生态角逐，推动我国人工智能产业迈向更高水平。

十二 |   放眼未来，开源正成为中国AI产业参与全球竞争的新优势。站在全球累计下载量突破100亿次的新起点上，在开放中创新、在规范中前行，中国人工智能将为全球AI发展贡献更多中国智慧。（记者 黄鑫）。

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Published on:06:15:30