Meta首席AI科学家Yann LeCun近日在社交平台X（原Twitter）上对OpenAI新发布的视频生成模型Sora提出了尖锐的批评。他表示，Sora采用的通过生成像素来模拟世界的方法，类似于过去被广泛摒弃的“通过合成进行分析”的技术，他认为这种方法既浪费资源又注定走向失败。
Sora作为OpenAI的最新科技成果，自发布以来便吸引了业界的广泛关注。然而，LeCun的评论无疑为这款模型的前景蒙上了一层阴影。作为人工智能领域的权威，LeCun的观点往往具有重要影响力，他的这一表态可能会引发业界对视频生成模型技术路线的深入讨论。
LeCun的论点基于对资源效率和模型有效性的考量。他认为，通过生成像素来模拟现实世界的复杂过程可能不是解决AI视频生成问题的最佳途径，这可能需要更多的计算资源，且效果未必理想。他的评论或许会推动AI研究者们重新评估当前的技术路径，探索更加高效且前景广阔的AI生成模型。
尽管如此，OpenAI的Sora模型在技术上的创新和突破仍然不容忽视。面对LeCun的质疑，OpenAI可能会对Sora的技术原理和实际应用效果进行更深入的解释，以回应业界的关切。此次争议也反映了AI领域内部对于技术发展方向的多样性和辩论性，这将有助于推动AI技术的持续进步和优化。
英语如下：
**News Title:** “Meta’s Chief AI Scientist LeCun Critiques OpenAI’s New Model Sora: A Wasteful Resource Gamble Destined to Fail”
**Keywords:** Meta, LeCun, Sora
**News Content:** Yann LeCun, Meta’s Chief AI Scientist, recently posted a scathing critique of OpenAI’s newly released video generation model, Sora, on social platform X (formerly Twitter). He argued that Sora’s approach of generating pixels to simulate the world resembles the discarded “synthetic-to-analytic” techniques of the past, which he deems resource-intensive and destined for failure.
Sora, as OpenAI’s latest technological achievement, has garnered significant attention since its launch. However, LeCun’s comments cast a shadow over the model’s future prospects. As a prominent authority in the AI field, LeCun’s opinions often carry substantial influence, and his statement might spark in-depth industry discussions on the direction of video generation model technologies.
LeCun’s argument is grounded in considerations of resource efficiency and model effectiveness. He suggests that simulating the complexities of the real world through pixel generation might not be the most optimal solution for AI video generation, potentially requiring more computational resources without guaranteeing ideal results. His remarks could prompt AI researchers to reevaluate current technical pathways and explore more efficient and promising AI generation models.
Nonetheless, the innovative and groundbreaking aspects of OpenAI’s Sora model cannot be overlooked. In response to LeCun’s critique, OpenAI might provide a more in-depth explanation of Sora’s technical principles and practical performance to address industry concerns. This controversy reflects the diversity and debates within the AI sector regarding technological发展方向, which will ultimately contribute to the continuous advancement and optimization of AI technology.
【来源】https://www.ithome.com/0/751/676.htm
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