特斯拉与 OpenAI 的殊途同归：物理原理下的视频生成
近日，OpenAI 推出的 AI 模型 Sora 引发业界关注，其能够生成逼真的视频，验证了特斯拉此前提出的理论。
特斯拉 CEO 埃隆·马斯克在社交媒体上表示，特斯拉已经能够使用精确物理原理制作真实世界视频约一年时间。特斯拉 AI 和 Sora 的训练思路一致，即训练 AI 理解和生成真实的场景或世界，视频只是从特定视角观察该场景的一段时空。
这种方法与传统视频生成 AI 不同，后者直接训练 AI 生成视频，而特斯拉和 OpenAI 的方法则侧重于对场景的理解。马斯克认为，特斯拉早年间一直在探索这一方向，但 Sora 的推出证明了马斯克的理论是正确的。
然而，马斯克的心情可能有些复杂。一方面，Sora 的出现证实了他的理论，但另一方面，这可能也意味着特斯拉在视频生成领域落后于 OpenAI。
有分析人士指出，特斯拉和 OpenAI 的视频生成技术各有优势。特斯拉的优势在于其对物理原理的深入理解，而 OpenAI的优势在于其强大的计算能力和海量数据训练。
未来，特斯拉和 OpenAI 在视频生成领域的竞争可能会更加激烈。这不仅将推动视频生成技术的进步，也可能对自动驾驶、虚拟现实等领域产生深远影响。
英语如下：
**Headline:** Tesla and OpenAI Converge: AI to Create Real-WorldVideos
**Keywords:** Artificial Intelligence, Tesla, OpenAI
**Article Content:**
Tesla and OpenAI’s Convergence: Video Generation Grounded in Physics
OpenAI’s recent AI model, Sora, has generated significant industry buzz for its ability to create realistic videos, validating a theory previously proposed by Tesla.
Tesla CEO Elon Musk took to social media to reveal that Tesla has been able to create real-world videos using accurate physics for about a year. The trainingapproach for Tesla AI and Sora is similar, focusing on training the AI to understand and generate realistic scenes or worlds, with videos being a time-space slice from a particular viewpoint of that scene.
This approach differs from traditional video-generating AIs, which train the AI to generate videos directly, while Tesla and OpenAI’s method emphasizes understanding the underlying scene. Musk believes that Tesla has been exploring this direction for years, but the release of Sora serves as validation for his theory.
Musk’s feelings may be bittersweet, however. While Sora’s emergence confirms his theory, it could also imply that Tesla is lagging behind OpenAI in video generation.
Analysts suggest that Tesla and OpenAI’s video generation technologies have their respective strengths. Tesla’s advantage lies in its deep understanding of physics, while OpenAI excels in its computational power and massive data training.
Competition between Tesla and OpenAI in video generation is likely to intensify in the future. This will not only advance video generation technology but could also have far-reaching implications for fields such as autonomous driving and virtual reality.
【来源】https://mp.weixin.qq.com/s/FyxRCUGPMsdns2__z7n0EA
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