Sora 2 is OpenAI’s consistently inconsistent AI video creator

Where most AI video models struggle with continuity, Sora 2 understands environmental cause and effect. Shadows shift realistically. Water ripples when something moves near it. Reflections appear in glass and puddles, not at random angles.

OpenAI describes Sora 2 as capable of generating “complex scenes with multiple characters, specific motion, and detailed backgrounds that remain consistent over time.” That’s true — though “consistent” is still a relative term in this world.

Prompt 1: The Central Park duel that fell apart

The first test was deliberately ambitious:

“A peaceful afternoon in New York’s Central Park. Tourists stroll under soft sunlight. Suddenly, a robed figure activates a glowing energy staff and urges people to move to safety. Another, in dark robes, emerges from the trees holding a red weapon. The crowd scatters as the two duel—elegant, dance-like movements, glowing arcs of light reflecting on the water nearby. The camera circles them continuously as autumn leaves swirl in the air.”

What came back was visually striking—soft golden tones, smooth camera rotation, and convincing reflections. But then came the chaos. The glowing staffs (Lightsabers) flickered, bent, and morphed into odd shapes. The fighters’ bodies lost balance, limbs clipping through each other like ghostly polygons from a ’90s video game. The choreography drifted into surreal interpretive dance rather than cinematic combat.

And this flaw isn’t unique to my test. OpenAI has acknowledged that Sora 2 “struggles with sustained, physically plausible humanoid combat or weapon choreography,” a limitation that quickly becomes obvious once weapons start moving.

Still, the surrounding world looked real enough that you could almost forgive it. The scene felt cinematic, even if the action wasn’t.

Prompt 3: Birds and lions at a watering hole

For a calmer test, I turned to wildlife. The prompt:

“Create a wildlife scene where birds and lions are drinking naturally from a watering hole. Every animal should move realistically, and the scene must be hyper-realistic.”

Here, Sora 2 was in its element. The birds fluttered and dipped with believable wing motion. The sunlight shimmered on the water’s surface, and reflections responded naturally as the animals shifted position. The textures—fur, feathers, rippling mud—looked close to nature documentary quality.

Yet the model’s quirks still crept in. One lion ended up awkwardly placed at the muddy edge, appearing to drink directly from the dirt rather than the water. It’s a minor but telling detail: Sora 2 nails the overall scene but sometimes loses track of object-to-surface interaction.

Even so, this was easily the most convincing result—and a hint of where Sora 2’s true strength lies: environmental realism.

Prompt 4: The futuristic rooftop chase

For the final test, I pushed motion, lighting, and atmosphere to their limits:

“A sprawling futuristic cityscape at dawn. A cyberpunk courier in a dark jacket sprints across rooftops, carrying a glowing data case. A pursuing drone weaves between antennas and vents, thrusters flaring blue.

The camera tracks from behind and to the right of the runner, hand-held style, as they leap a gap. The drone overtakes mid-air; lens flare and motion blur complete the scene.”

The output was stunning—and surprisingly cinematic.

The lighting sold it: the sunrise glinting off glass towers, reflections on metal surfaces, and subtle lens flare during the jump. Motion felt fluid and weighty. The drone pursuit introduced genuine tension, while the shallow depth of field mimicked a 35 mm film camera.

This was Sora 2 firing on all cylinders—complex, cohesive, and believable. If this had been released as a teaser for a game or film, most viewers wouldn’t suspect AI involvement at first glance.

The beautiful unpredictability of Sora 2

Across these tests, one truth stood out: Sora 2 is consistently inconsistent. Sometimes, it gets everything right. Other times, it births something so bizarre that you can’t stop laughing. That unpredictability has become part of its charm.

On Reddit, one user summed it up perfectly:

“Sora 2 either gives you Pixar or fever-dream energy, no in-between.”
— r/AIGuild

The model occasionally distorts objects, changes colors mid-scene, or misinterprets prompts in delightfully absurd ways. A prompt for “two plush animals walking side-by-side” once produced creatures that looked half teddy bear, half inflatable balloon. It’s not accurate—but it’s memorable.

That chaos can be a liability for professionals needing reliability, but for creative experimentation, it’s gold. Sora 2 sometimes acts more like a collaborator with an overactive imagination than a predictable machine.

Realism vs. reality: Understanding Sora 2’s strengths

When Sora 2 works, it feels like magic. But it’s not magic—it’s a machine interpreting your words through probability and visual pattern learning. It thrives on context, not precision. Give it a strong sense of place—lighting direction, camera movement, tone—and it fills in the rest convincingly. Ask it for precision-based choreography or fine motor interaction, and it falters.

The pattern matches what others have observed across Reddit and Discord testing groups. Creators note that simpler human actions (walking, looking, gesturing) are believable, but complex sequences (fighting, hugging, playing instruments) break down quickly. That suggests OpenAI’s physics modeling still treats the human body as a set of independent motion clusters rather than a single unit. It’s realistic enough for a few seconds—then entropy takes over.