Text-to-video offerings are growing rapidly in AI, and it feels like many models are offering the option to request complex video generation from text prompts.

Meta Movie Gen was just announced earlier this month, but the “Facebook-built company” has more resources than many rivals, including the ability to add sound.

Like OpenAI's SORA and Google's Veo, it is not currently available to the public and is limited to a select few. But it does give us an idea of what will be possible when the full model is finally released.

With this in mind, we conducted a survey to find the most striking examples of meta-movie generation.

While snakes scare me, I can't help but be impressed by the way this AI slithers through vines and roots.

The added soundtrack prompts also seemingly add a sense of tension, i.e., the underlying model may agree that they are insecure.

This Instagram post shows the changes made to the existing footage, and if you stick with it, you can see the amazing look of the underwater scene with literally hundreds of jellyfish in the water.

Most striking is the way the light from the jellyfish bounces off the subject's face and body as they swim upward.

Indeed, this is a cool shot, but perhaps most striking is the sound. Watch as the skateboarder moves over the concrete, creating the unmistakable sound of the skateboard's weels stepping on the skatepark's concrete.

The sound of takeoff and landing is just right, and the way the camera follows the action is really close to what you see in commercials, for example.

This is truly a piece that falls into the “uncanny valley” for me, but the detail in this subject's face is wild. Look at the wrinkles, the subtle smile, the way her bangs curl.

I'm not sure if the soup she is eating looks all that appealing, but it is still very impressive that the manner in which she is eating it looks just barely human.

This is what Meta used to demonstrate her new model, and it's not hard to see why. Aside from the wind, the footprints, and the kite, what struck me most was the actual movement of the subject, the child.

As a parent, I know that my son (of similar age to this subject) runs a certain way. He is a bit clumsy and seems to fall down at any given moment. Strikingly, this photo captures the same fragility in his stride.