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[Everything you need to know] OpenAI’s Sora AI Video Generator is incredibly impressive

OpenAI, known for leading AI innovations such as ChatGPT and Dall-E 3, has unveiled its inaugural video generator, Sora. It’s no overstatement to say that I was utterly astonished upon witnessing the initial videos produced by Sora.

by openAI

Nikola Tesla: “The future belongs to those who believe in the beauty of their dreams.”

What is Sora?

Sora is an AI model developed by OpenAI that specializes in creating videos from basic text instructions. 

It has the remarkable capability to produce up to a minute of high-quality video content. At its core, Sora employs a diffusion model, which represents a sophisticated AI methodology renowned for its innovative approach to learning. This model starts with clear, unaltered data, such as images or videos, and incrementally introduces noise, progressively obscuring the original content. The true strength of this model lies in its ability to reverse this process, meticulously eliminating noise to recover the original data, thereby enabling the generation of lifelike outputs.

Sora is guided by GPT technology, the same foundation that powers ChatGPT, allowing it to transform concise text prompts into elaborate descriptions that are specifically optimized for video creation. This integration ensures that even the most succinct ideas are expanded into detailed, visually compelling, and accurate video representations.

It’s important to note that these selections haven’t been specially chosen. Sam Altman, CEO of OpenAI, is actively engaging with and sharing prompt requests on X.

Here are some examples:

Jumping straight into action, below are a few examples showcasing the impressive capabilities of Sora with prompts and corresponding sample videos.

Prompt: The camera directly faces colorful buildings in Burano Italy. An adorable dalmation looks through a window on a building on the ground floor. Many people are walking and cycling along the canal streets in front of the buildings.

Prompt: A movie trailer featuring the adventures of the 30 year old space man wearing a red wool knitted motorcycle helmet, blue sky, salt desert, cinematic style, shot on 35mm film, vivid colors.

Prompt: The camera follows behind a white vintage SUV with a black roof rack as it speeds up a steep dirt road surrounded by pine trees on a steep mountain slope, dust kicks up from it’s tires, the sunlight shines on the SUV as it speeds along the dirt road, casting a warm glow over the scene. The dirt road curves gently into the distance, with no other cars or vehicles in sight. The trees on either side of the road are redwoods, with patches of greenery scattered throughout. The car is seen from the rear following the curve with ease, making it seem as if it is on a rugged drive through the rugged terrain. The dirt road itself is surrounded by steep hills and mountains, with a clear blue sky above with wispy clouds.

Sora possesses the unique ability to animate DALL-E images. 

Beyond creating videos from textual descriptions, it can also produce videos starting from an image input.

The example image appears to surpass the quality achievable by Dall-E 3.

Prompt: A Shiba Inu dog wearing a beret and black turtleneck.

Additional Capabilities of Sora


When scaled up, video models like Sora develop intriguing new abilities, such as:

  • 3D Consistency: Sora is capable of producing videos that feature dynamic camera movements, offering a consistent three-dimensional experience.

  • Long-range Coherence and Object Permanence: It can create sequences showing the same character across multiple shots within a single video while maintaining their appearance consistently throughout.

  • Interacting with the World: Sora has the capability to mimic actions that have simple impacts on the world’s state, adding a layer of interaction within the video content.

  • Simulating Digital Worlds: Moreover, Sora can replicate artificial processes, including those found in video games, showcasing its versatility in simulating digital environments.

Limitations and ethical considerations

Despite Sora’s remarkable abilities, it encounters difficulties in precisely simulating complex physical interactions and grasping detailed cause-and-effect relationships.

For instance, the following video demonstrates the AI producing a motion that lacks plausibility.That seemed quite odd.

Moreover, similar to other AI models, Sora mirrors the biases and shortcomings present in the extensive human-curated data it was trained on.

And touching on model training, there’s a current debate within the AI community about whether entities whose contributions are utilized in training should receive acknowledgment and financial compensation.

The pace at which technology advances greatly outstrips the rate of regulatory development.

Who should be concerned?


Film industry executives and investors might have the most to fear from AI advancements. The prospect that anyone with internet access could create and distribute a full-length film with just a simple AI prompt poses a significant threat to traditional gatekeepers of the film and television worlds, potentially rendering them obsolete.

While the intention may be to harness AI as a substitute for human creativity, this strategy could ultimately turn against them. As the adage warns, they may find themselves facing unintended consequences.

Is there cause for your concern as well?

Individuals who are adaptable, unafraid of change, and proactive in seizing new opportunities are unlikely to be supplanted.

Concluding Remarks


This week has been a whirlwind in the AI sphere with the unveiling of Google’s Gemini 1.5 and OpenAI’s Sora, marking a stark contrast to just a year ago when a viral video of Will Smith making spaghetti captured our imaginations. Today, we’re witnessing videos that edge ever closer to realism.

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