Meta首席人工智能科学家Yann LeCun近日在社交媒体X平台上发表评论，对OpenAI新发布的视频生成模型Sora表示质疑，称其“注定要失败”。LeCun在帖子中指出，Sora通过生成像素来模拟世界的方法类似于已被广泛弃用的“通过合成进行分析”的技术，他认为这种做法既浪费资源又无法达到预期的效果。
OpenAI的Sora模型自发布以来，因其在视频生成领域的创新技术引起了行业内的广泛关注。然而，LeCun的评论无疑给这款新模型泼了一盆冷水。作为人工智能领域的重量级人物，LeCun的观点往往能引起业界的深思。他强调，当前AI研究应更加注重效率和实际应用，而不是单纯追求技术的炫酷展示。
尽管如此，OpenAI的Sora模型在AI视频生成方面取得的突破仍然不容忽视。该模型的推出，旨在推动人工智能在内容创作和视觉体验上的进步。然而，LeCun的批评也提醒了业界，在追求技术前沿的同时，需要更加审慎地评估资源投入与实际效益之间的平衡。
对于LeCun的言论，OpenAI尚未作出官方回应。但可以预见，这场关于AI技术发展方向的讨论将在学术界和工业界引发更深入的辩论，推动人工智能技术的持续优化和革新。
英语如下：
**News Title:** “Meta’s Chief AI Scientist LeCun Criticizes OpenAI’s New Model Sora: A Destined-to-Fail Resource Waste”
**Keywords:** Meta, LeCun, Sora
**News Content:** Yann LeCun, Chief AI Scientist at Meta, recently posted a comment on social media platform X, expressing skepticism about OpenAI’s newly released video generation model, Sora, labeling it “doomed to fail.” In his post, LeCun pointed out that Sora’s approach of simulating the world through pixel generation resembles the long-abandoned “synthetic-to-analytic” technique, which he believes is both resource-intensive and ineffective.
Since its launch, OpenAI’s Sora model has garnered significant attention within the industry for its innovative technology in video generation. However, LeCun’s remarks have undoubtedly poured cold water on the hype surrounding the new model. As a prominent figure in the AI field, LeCun’s opinions often spark profound reflection. He emphasized that current AI research should focus more on efficiency and practical applications rather than merely showcasing advanced technology.
Despite this, the breakthroughs achieved by OpenAI’s Sora in AI video generation cannot be overlooked. The model aims to advance AI in content creation and visual experiences. Nevertheless, LeCun’s critique serves as a reminder for the industry to more carefully assess the balance between resource investment and actual returns while pursuing technological frontiers.
OpenAI has yet to respond officially to LeCun’s comments. Nonetheless, it is predictable that his remarks will spark further in-depth debates within both academia and industry, driving continuous optimization and innovation in artificial intelligence technology.
【来源】https://www.ithome.com/0/751/676.htm
Views: 2