近日，OpenAI推出的AI视频生成模型Sora引发了业界的广泛关注。然而，Meta的首席人工智能科学家Yann LeCun对此提出了质疑。LeCun在社交媒体上发表评论，认为通过生成像素来模拟世界行为的方法，类似于过去被抛弃的“通过合成进行分析”的策略，不仅浪费资源，而且注定会失败。
LeCun的言论迅速在科技界引起了讨论。他的观点是，虽然AI在图像和视频生成方面取得了显著进展，但这些进展并不足以证明这种模拟世界的方法是有效的。LeCun认为，真正的人工智能应该能够理解和学习现实世界的复杂性，而不是仅仅通过合成数据来模拟。
OpenAI的Sora模型是基于深度学习技术，能够生成高质量的视频内容。尽管OpenAI对其寄予厚望，但LeCun的批评指出了一个重要的问题：当前的AI技术在模拟现实世界方面仍然存在局限性。LeCun的言论可能会影响业界对AI视频生成技术的看法，并促使研究人员和开发者重新思考如何更有效地推进人工智能的发展。
英文标题：AI Pioneer LeCun Doubts OpenAI’s New Sora Model
英文关键词：AI Model, Doubt, Future
英文新闻内容：
Recently, OpenAI’s unveiling of its AI video generation model Sora has captured the attention of the tech industry. However, Meta’s Chief AI Scientist Yann LeCun has cast doubt on the new model’s prospects. LeCun expressed his skepticism on social media, likening the method of generating pixels to simulate world behavior to a strategy that has been widely abandoned in the past, “synthetic analysis,” which he believes is not only resource-intensive but also destined to fail.
LeCun’s comments have sparked a debate within the tech community. His stance is that while AI has made significant strides in image and video generation, these advancements do not justify the method of simulating the world. LeCun argues that true artificial intelligence should be able to comprehend and learn from the complexities of the real world, rather than merely synthesizing data to mimic it.
OpenAI’s Sora model, based on deep learning technology, is capable of generating high-quality video content. Despite OpenAI’s high expectations, LeCun’s criticism highlights a significant issue: current AI technology still has limitations in simulating the real world. LeCun’s remarks may influence the industry’s perception of AI video generation technology and prompt researchers and developers to rethink how to advance artificial intelligence more effectively.
【来源】https://www.ithome.com/0/751/676.htm
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