【Sora视频生成技术：前景广阔，当前挑战重重——Bloomberg实测体验】
据新智元报道，全球知名财经媒体Bloomberg近日对新兴的视频生成技术Sora进行了抢先实测。尽管Sora被誉为可能颠覆影视行业的创新技术，但在实际应用中，它似乎还未能完全达到预期。
Bloomberg的记者体验后指出，Sora在生成视频的过程中出现了明显的缺陷。在尝试创建物理现象和动物形态时，Sora的表现显得力不从心，甚至出现了明显的变形错误。此外，技术的运行速度成为其另一大瓶颈，Bloomberg形容其速度“慢得令人难以忍受”。
尽管Sora的技术理念和潜力令人印象深刻，但Bloomberg认为，它目前对于人体解剖学的理解和对物理学规则的应用尚存显著不足。更为关键的是，处理一个请求所需的时间过长，这无疑限制了其在实时或高效生产环境中的应用。
因此，Bloomberg在总结中表示，Sora虽然展示出对未来影视制作的革新潜力，但在真正步入黄金时段之前，它还有很长的路要走。Sora需要在理解复杂物理现象、优化动物形态生成以及提升处理速度等方面进行显著改进，以适应行业高标准的需求。
这一测试结果为Sora的技术发展提供了宝贵的反馈，同时也提醒业界，尽管人工智能和机器学习在创意领域展现出无限可能，但实际应用仍需面对诸多挑战。
英语如下：
**News Title:** “Bloomberg Trial Raises Concerns: Sora Video Generation Tech Struggles with Physics Distortion and Slow Speed”
**Keywords:** Sora Testing, Video Flop, Slow Performance
**News Content:**
**[Sora Video Generation Technology: Promising Yet Challenged – Bloomberg Hands-On Review]**
According to New Smart Age, renowned financial media Bloomberg recently conducted an early test of the emerging video generation technology, Sora. Despite its accolades as a game-changer in the film and television industry, Sora appears to fall short in practical application.
Bloomberg journalists noted significant flaws in Sora’s video generation process. When attempting to create physical phenomena and animal forms, Sora demonstrated shortcomings, even resulting in noticeable distortion errors. Furthermore, the technology’s slow processing speed was described by Bloomberg as “unbearably sluggish.”
While Sora’s technological concept and potential are impressive, Bloomberg suggests that it currently lacks a comprehensive understanding of human anatomy and the application of physical laws. Crucially, the extended time required to process a request severely restricts its usability in real-time or high-efficiency production environments.
In its conclusion, Bloomberg acknowledges Sora’s potential to revolutionize the future of film production, but emphasizes that there is a long road ahead before it reaches its prime. Sora must significantly improve its understanding of complex physics, refine animal form generation, and boost processing speed to meet the industry’s stringent demands.
This test result provides valuable feedback for Sora’s technological development and serves as a reminder to the industry that, while artificial intelligence and machine learning hold immense potential in creative fields, practical implementation still confronts numerous challenges.
【来源】https://mp.weixin.qq.com/s/IrQyb5LydeYrkIRHHQaa3w
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