Meta 首席人工智能科学家 Yann LeCun 近日在社交平台 X(原 Twitter)上发表评论,对 OpenAI 最新发布的视频生成模型 Sora 表示质疑。LeCun 指出,Sora 采用的通过生成像素来模拟世界的策略,他认为这种做法“既浪费资源又注定失败”,并将其比喻为曾经被广泛弃用的“通过合成进行分析”的方法。

OpenAI 的 Sora 模型自发布以来,因其在人工智能领域的创新性而备受关注,它能够生成逼真的视频内容,被视为人工智能技术的一大进步。然而,LeCun 的批评表明,对于 AI 技术的发展方向,业界内部存在不同的看法。LeCun 的观点可能预示着对 AI 研究策略的深入反思,尤其是在资源效率和模型实用性方面。

作为 Meta 的首席 AI 科学家,LeCun 在人工智能领域有着深厚的专业背景和影响力。他的批评可能引发业界对当前 AI 视频生成技术的讨论,推动研究人员探索更为高效且可持续的解决方案。尽管如此,OpenAI 的 Sora 模型是否真的会如 LeCun 所言“注定失败”,还需时间来验证,同时也需要更多的实践和学术界的专业评估。

英语如下:

News Title: “Meta’s Chief AI Scientist LeCun Critiques OpenAI’s New Model Sora: A Resource-Wasting Venture Destined to Fail”

Keywords: Meta, LeCun, Sora

News Content: Yann LeCun, Meta’s Chief Artificial Intelligence Scientist, recently voiced his concerns on social platform X (formerly Twitter) about OpenAI’s newly released video generation model, Sora. LeCun argued that Sora’s approach of simulating the world by generating pixels is “both resource-intensive and doomed to fail,” likening it to the once widely discarded method of “synthetic analysis.”

Since its launch, OpenAI’s Sora has garnered significant attention for its innovation in the AI domain, capable of producing realistic video content, marking a significant step forward in AI technology. However, LeCun’s critique suggests that differing opinions exist within the industry regarding the direction of AI development. His perspective could prompt a deeper reflection on AI research strategies, particularly in terms of resource efficiency and model practicality.

As the Chief AI Scientist at Meta, LeCun carries substantial professional background and influence in the field of AI. His criticism might spark industry discussions on current AI video generation techniques and motivate researchers to explore more efficient and sustainable solutions. Nonetheless, whether Sora will indeed prove to be “doomed to fail,” as LeCun predicts, remains to be seen over time and will require further practical application and professional assessment from the academic community.

【来源】https://www.ithome.com/0/751/676.htm

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