Meta首席人工智能科学家Yann LeCun近日在社交媒体上公开表达了对OpenAI新推出的AI视频生成模型Sora的批评。Sora模型自发布以来，因其创新的视频生成技术而备受业界关注。然而，LeCun认为，这种通过生成像素来模拟世界行为的方法，类似于已被广泛摒弃的“通过合成进行分析”方法，既浪费资源又注定会失败。
LeCun在X平台（原Twitter）上发帖称：“通过生成像素来模拟世界的行为，就像曾经被广泛弃用的‘通过合成进行分析’一样，既浪费资源又注定失败。”这一观点引起了AI领域的广泛讨论。
OpenAI的Sora模型旨在通过深度学习技术生成高质量的视频内容，其潜在应用包括影视制作、游戏开发、虚拟现实等。然而，LeCun的批评指出，这种方法可能存在效率低下和效果不佳的问题。
尽管Sora模型受到了一定的质疑，但其在AI视频生成领域的探索依然具有重要意义。未来，随着技术的不断进步，AI视频生成技术的发展方向和实际应用效果仍值得关注。
英文翻译内容：
Title: Meta CTO LeCun Slams OpenAI’s Video Generation Model Sora
Keywords: AI, video synthesis, technology controversy
News content:
Meta CTO Yann LeCun recently expressed his criticism of OpenAI’s newly launched AI video generation model, Sora. Since its release, Sora has garnered significant attention within the industry for its innovative video generation technology. However, LeCun argues that the method of simulating world behavior by generating pixels is akin to the widely discarded “synthetic analysis” approach, which he claims is both resource-intensive and destined to fail.
LeCun posted on the X platform (formerly Twitter): “Simulating world behavior by generating pixels is like the widely discarded ‘synthetic analysis,’ which is both wasteful and doomed to fail.” This opinion has sparked widespread discussion within the AI community.
OpenAI’s Sora model aims to generate high-quality video content through deep learning technology, with potential applications including film and television production, game development, and virtual reality. However, LeCun’s criticism points to potential issues with efficiency and effectiveness.
Despite the skepticism towards Sora, the exploration of AI video generation technology remains significant. As technology continues to advance, the direction of future development and the practical application effects of AI video generation technology are still worth watching.
【来源】https://www.ithome.com/0/751/676.htm
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