OpenAI Sora 2 — In-Depth Review
Introduction
OpenAI’s Sora 2 is the next-generation text-to-video model that aims to bring realistic, physics-aware video creation to a broader audience. It’s positioned as a leap beyond short, glitchy clips toward more controlled, coherent motion and audiovisual storytelling.
In this review, I’ll walk through what Sora 2 gets right, where it still struggles, and whether it’s ready for prime time.
What’s New & What Works
1. More realistic physical behavior
A key upgrade over earlier versions is Sora 2’s ability to respect certain physical laws in generated scenes — objects bounce, motion flows, and the model is less likely to teleport or distort elements to satisfy a prompt.
In practice, scenes like simple sports, jumping, or falling tend to look more natural and believable.
2. Audio & dialogue integration
Unlike many earlier video generators, Sora 2 supports synchronized sound effects and dialogue along with visuals. This adds narrative heft and helps scenes feel more composed. OpenAI
3. Faster & more usable for short clips
In hands-on tests, Sora produced 3–5 second clips from simple prompts in under five minutes. That speed makes it viable for experimentation and prototyping.
For content creators, that responsiveness is crucial — waiting too long erodes creativity.
4. Social & cameo features
Sora’s app enables “cameo” use of people’s own likenesses (with their permission), letting you insert yourself or a friend into generated video scenes.
Also, OpenAI has built in identity verification and notifications when your likeness is used, giving some degree of control over personal images.
Limitations & Challenges
1. Spatial coherence & editing logic
While the physics improvements are welcome, Sora 2 still sometimes struggles with coherent spatial layout, smooth transitions, or consistent scene editing logic. Objects may shift or vanish unexpectedly.
Longer or more complex videos with multiple cuts remain a challenge.
2. Invite-only access & platform limitations
Currently, Sora 2 is rolling out via an invite-only iOS app. That gatekeeping limits accessibility, especially for professional users who want reliable tools.
Many users are on waiting lists, and the Android release is still pending.
3. Bias & representational concerns
Like many generative AI models, Sora inherits biases from its training data. Users have reported stereotypical portrayals regarding gender, profession, and race in generated videos.
These biases may limit the model’s utility where inclusive or diverse representation matters.
4. Legal, ethical & copyright risks
Because Sora 2 is so capable of deepfake-like outputs, it raises risks around misinformation, impersonation, and unauthorized use of copyrighted characters.
OpenAI has responded by enabling opt-out for likenesses and promising more granular controls for copyright owners.
Still, in early days, there’s uncertainty about how robust those safeguards will be.
5. Content duration & resolution limits
At this stage, Sora 2 is tailored for short clips (e.g. 10 seconds or so). Longer-form storytelling remains out of reach.
Also, while resolution is improving, perfect 4K realism is not yet reliable across all scenes.
Use Cases & Who It’s For
Sora 2 is most promising for:
- Creative experimentation — Rapid prototyping of video ideas or mood boards.
- Social media content — Short, catchy clips where novelty and visual flair matter more than polished continuity.
- Marketing & advertisement — For ideation, teaser videos, or background visuals.
- Education & storytelling — Small narrative snippets or visual aids.
It’s less ideal (for now) for:
- Long-form video production
- Film or TV-grade scenes
- Commercial work requiring strict control over output
- High-reliability professional usage where consistency is crucial
Viral Videos:
Here is an AI video that Michael Jackson steals someone’s chicken at KFC, the video looks real but it’s actually made with AI
And this is the video where someone was watching Spongebob SquarePants and that something scary happens on TV and it explodes with sparks
This video is about a kid trying to give a crocodile some candy, but the mother was panicking that the kid will get eaten by the crocodile
Dutch Sora 2 AI videos:
A portable toilet crashes into a car in a highway
A newborn baby reveals that his name is 67 (a meme)
A package employee destroys someones package in the box in at his house front door
Jonne’s creations:
Jake Paul and xQc spot Jonne at Comic Con
a FNAF Fursuit TikTok’er @jottenbruh flies away in the wind
Jonne and Mat in a relationship
My AI videos based on real stuff:
In the original video, we see a guy wearing a Burger King crown in an airplane and the guy started to do racist meltdown (censored)
And my FNAF OC’s version is literally the same but is not actually saying racist stuff, its a safe version of the word in the AI remake
in this original FNAF 2 Movie scene, we see Vanessa driving a car but Mangle is attacking her
And in this AI video, we see a dutch driver from the netherlands driving and sees Mangle on the road
This is the original 1955 version of Disneyland’s Snow White ride before it closed in 1981 and made a new version of the ride in 1983
And this is the AI video of the YouTuber steak going back to the year 1955 to the old Disneyland
My creations in dutch language:
Guy jumps on a trampoline during a storm goes wrong
A car flies all the way up in a highway
A person steals Sinterklaas’s (Saint Nicholas’s) miter and then Saint gets mad and chases the person and ends up getting the birch rod in the bedroom
My personal AI creations:
Those are the AI videos of me going out in my Springtrap mask in the dutch language (last AI video was failed and rushed)
My neighbor’s house roof getting destroyed by lightning during a storm
Jake Paul meets FroggySFM AKA TheGreenBunny from YouTube (my friend) at Comic Con
