AI Model
ChatGPT 5: The Most Capable AI Model Yet

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When OpenAI first announced ChatGPT 5, the AI community was already buzzing with rumors. Speculation ranged from modest incremental changes to bold claims about a “general intelligence leap.” Now that the model is out in the world, we can see that while it’s not a conscious being, it does mark one of the most significant advances in consumer AI to date. With faster reasoning, improved multimodality, and tighter integration into the broader OpenAI ecosystem, ChatGPT 5 is poised to redefine how people interact with artificial intelligence.
This isn’t just a model update; it’s a step toward making AI assistants far more capable, reliable, and context-aware. And unlike some flashy AI releases that fizzle after the initial hype, ChatGPT 5 has substance to match the headlines.
Who Can Use ChatGPT 5 Right Now
At launch, ChatGPT 5 is being offered to two main groups: ChatGPT Plus subscribers and enterprise customers. The Plus subscription, which is the same paid tier that previously offered access to GPT-4, now includes GPT-5 without an extra cost. That means anyone willing to pay the monthly fee gets priority access to the new model, along with faster response speeds and higher usage limits compared to free-tier users.
Enterprise customers, many of whom already integrate GPT models into workflows ranging from customer service chatbots to data analysis tools, are receiving enhanced versions with extended capabilities. For example, companies can deploy GPT-5 in a more privacy-controlled environment, with data retention policies tailored to sensitive industries like healthcare and finance.
The free tier is not being left behind forever, but OpenAI is rolling out access gradually. This phased approach is partly a matter of managing infrastructure demands and partly about making sure the model’s advanced features are stable before giving them to millions of casual users at once.
For developers, GPT-5 is available through the OpenAI API, with different pricing tiers depending on usage. This opens the door for an explosion of GPT-5-powered applications, from productivity assistants embedded in office software to creative tools for artists, educators, and researchers.
How ChatGPT 5 Improves on Previous Versions
When OpenAI moved from GPT-3.5 to GPT-4, the jump was noticeable but not revolutionary. GPT-4 could follow more complex instructions, produce more nuanced text, and handle images in some limited ways. With GPT-5, the leap is more dramatic.
The most obvious change is in reasoning depth. GPT-5 can maintain and manipulate more steps of logic in a single exchange. Complex questions that used to require multiple clarifications can now often be answered in one go. For example, if you ask it to plan a multi-week project that has dependencies between tasks, it can produce a coherent timeline while factoring in resource constraints, risks, and contingency plans.
Another significant improvement is memory and context handling. Conversations with GPT-5 can stretch further without the model “forgetting” key details from earlier in the discussion. That makes it much easier to hold a multi-day conversation where the AI remembers not just the facts you gave it, but the tone, preferences, and constraints you’ve established.
Multimodal capabilities have also been refined. GPT-5 can interpret images with greater accuracy and handle more complex visual reasoning tasks. Show it a photograph of a mechanical part, and it can identify components, suggest likely functions, and even flag potential defects if the image quality allows.
The speed improvement is not merely about faster typing on the screen. GPT-5’s underlying architecture allows it to generate coherent responses more quickly while also being better at staying “on track” with your request, avoiding tangents or half-completed answers that sometimes plagued earlier models.
Finally, GPT-5 feels more naturally conversational. Where GPT-4 could sometimes produce slightly stiff or repetitive phrasing, GPT-5 adapts more fluidly to the user’s tone. If you want a crisp, professional explanation for a report, it can deliver that. If you want something playful and imaginative, it will lean into that style without sounding forced.
Measuring GPT-5 Against the Competition
The AI assistant market is now crowded with serious contenders. Anthropic’s Claude has been praised for its clarity and reasoning ability. Google’s Gemini models integrate deeply with Google’s search and productivity tools. Open-source alternatives like Mistral are gaining traction for their flexibility and cost efficiency.
Against this backdrop, GPT-5’s strength is that it doesn’t specialize too narrowly. Gemini excels when working inside Google’s ecosystem; Claude shines in producing concise, precise responses with a human-like “polish.” But GPT-5 is a generalist in the best sense. It can pivot from writing a detailed legal brief to crafting a marketing storyboard to debugging complex code — all without requiring a switch in models or modes.
In terms of raw multimodal capability, GPT-5’s seamless handling of text, images, and — for early testers — short video clips puts it slightly ahead of most competitors. While other models can generate images or work with visuals, GPT-5 integrates these functions directly into the flow of conversation. You can, for example, show it a photo of a street scene, ask it to generate a written story based on that scene, and then have it produce an illustration inspired by its own text.
Where GPT-5 still faces competition is in highly specialized domains. Claude remains strong in summarizing large, complex documents without losing nuance, and some open-source models fine-tuned for coding can outperform GPT-5 on narrow programming tasks. But for most users, the combination of breadth, reliability, and ease of use makes GPT-5 the most versatile option currently available.
What GPT-5 Excels At in Practice
The true test of an AI model is not in its benchmark scores but in the day-to-day experience of using it. Here, GPT-5’s improvements translate into tangible benefits.
For research tasks, GPT-5 can digest long and technical source material, then present the information in multiple layers of detail — from a quick two-paragraph overview to a highly structured outline with references and key terms. This makes it a valuable tool for academics, journalists, and analysts who need both speed and accuracy.
Creative professionals are likely to appreciate its ability to generate richer narratives and more convincing dialogue. GPT-5’s storytelling feels less mechanical and more adaptable to the intended audience, whether that’s a light-hearted children’s book or a moody, atmospheric short story.
Problem-solving is another area where GPT-5 stands out. In mathematics, it is better at breaking down complex word problems into steps that humans can follow, rather than jumping straight to the answer. In coding, it is less prone to generating non-functional code and more willing to explain why certain approaches might fail before you try them.
And for collaborative work — whether that’s planning an event, outlining a business proposal, or mapping out a startup’s roadmap — GPT-5 behaves more like a competent partner than a passive tool. It asks clarifying questions, flags potential oversights, and can even maintain parallel “tracks” of a conversation so you can switch between related topics without losing the thread.
The New Era of Image and Video Generation
GPT-5’s upgraded multimodality deserves its own discussion. Image generation now feels integrated, rather than bolted on. The model can produce photorealistic images that maintain consistent character appearances across multiple outputs, a long-standing challenge in AI art. It can also generate text within images with far fewer spelling errors or distortions than earlier systems.
For video, GPT-5 currently supports the creation of short, coherent clips. While still in beta and limited to select users, the early results suggest a future where a user could storyboard an idea entirely in natural language and have the AI generate matching visuals. These videos are not yet Hollywood-ready — frame-to-frame consistency still has room to improve — but they represent a meaningful step toward AI-assisted filmmaking and dynamic media creation.
Importantly, OpenAI has implemented stronger safeguards around visual outputs, with clearer policies on restricted content and improved detection of harmful or misleading media. This is a reflection of lessons learned from earlier generations, where misuse of AI-generated visuals became a significant public concern.
GPT-5 and the Rise of Agent Mode
Agent Mode is one of the most intriguing concepts in modern AI development, and GPT-5 is at the heart of OpenAI’s push in this direction. In traditional use, ChatGPT waits for the user to issue a prompt and then responds. In Agent Mode, the model can be given broader objectives and the freedom to take steps toward achieving them, including using external tools and APIs.
Imagine you want to plan a complex business trip. In the old model, you’d have to ask for each piece of information — flight options, hotel reviews, meeting schedules — and then manually combine them. In Agent Mode, GPT-5 could receive your preferences once, fetch the relevant data, compare options, and produce a ready-to-use itinerary, updating it automatically if conditions change.
Of course, this comes with careful safeguards. Agent Mode actions require user approval, and the model’s access to external systems is restricted to prevent misuse. But the potential is enormous: GPT-5 in Agent Mode could manage ongoing projects, coordinate between team members, monitor incoming data streams, and adjust plans without needing you to reissue instructions.
What Potential Users Should Know
For AI enthusiasts and professionals alike, GPT-5 represents both an exciting opportunity and a set of practical considerations. While it is more powerful than any previous version, it’s still not infallible. Hallucinations — confident but incorrect statements — have been reduced but not eliminated. Users should still verify critical information, especially in high-stakes contexts.
The customization features are particularly appealing for those who use AI frequently. GPT-5 can remember preferred formats, tones, and even recurring facts you’ve shared, applying them automatically in future conversations. This persistent personalization makes it more like working with a human assistant who learns your style over time.
Privacy has been a major focus. For enterprise clients, GPT-5 can operate in semi-offline modes, with local processing for sensitive data and minimal exposure to external networks. Even for individual users, clearer privacy controls allow for better management of what the model retains from conversations.
And while GPT-5 is highly capable out of the box, its full potential emerges when paired with the growing ecosystem of plugins and integrations. These expand its abilities into areas like live data retrieval, database management, and even controlling physical devices in IoT setups.
The Bottom Line
ChatGPT 5 is not an artificial general intelligence, but it is the most capable and versatile consumer AI model available today. It brings genuine improvements in reasoning, memory, speed, and multimodal capabilities. It’s competitive in a crowded field, not because it outperforms every rival in every niche, but because it performs extremely well across a wide range of tasks without forcing users to switch tools.
For AI fans, it’s more than a software update — it’s a glimpse into where personal and professional AI assistants are headed. As Agent Mode matures and video generation evolves, the line between “chatbot” and “collaborator” will continue to blur. GPT-5 doesn’t just answer questions; it can help you think, plan, create, and act.
And perhaps the most telling sign of its importance? Many early users report that they’re spending less time trying to “game” the system with perfectly crafted prompts. Instead, they’re simply talking to it — and it’s understanding them better than any AI has before.
AI Model
Sora 2 vs. Veo 3: Which AI Video Generator Reigns Supreme?

In the rapidly evolving world of generative AI, text-to-video has become the new frontier. The release of OpenAI’s Sora 2 and Google DeepMind’s Veo 3 has ignited fresh debate over which model currently leads the charge. Both promise cinematic-quality video from text prompts, yet their strengths—and limitations—reveal very different approaches to solving the same problem. So, which one is truly pushing the envelope in AI-generated video? Let’s take a closer look.
The Shape of a New Medium
Sora 2 and Veo 3 aren’t just iterative updates; they represent a leap forward in AI’s ability to understand, simulate, and visualize the physical world. Veo 3, unveiled as part of Google’s Gemini ecosystem, emphasizes realism, cinematic polish, and high-fidelity audio. Sora 2, OpenAI’s successor to its original Sora model, doubles down on deep physics simulation, coherence across time, and intelligent prompt understanding.
Both models target similar creative workflows—commercials, short films, visual storytelling—but their design choices show stark contrasts in how they get there.
Visual Realism and Cinematic Quality
On first impression, both Sora 2 and Veo 3 impress with sharp resolution, consistent lighting, and smooth transitions. Veo 3, in particular, demonstrates a clear edge in cinematic effects: seamless camera movement, depth-of-field rendering, and visually stunning transitions that mimic professional film work. Veo’s ability to replicate human-directed cinematography stands out.
Sora 2, by contrast, leans harder into realistic physics and object behavior. Where Veo 3 dazzles with filmic beauty, Sora 2 seems more intent on ensuring that what happens on screen makes sense. Vehicles move with believable momentum, liquids splash and flow realistically, and characters interact with their environment in ways that respect gravity and friction. This physics-aware realism may not always be as visually glossy as Veo 3, but it adds a layer of believability that matters for narrative coherence.
Temporal Coherence and Scene Continuity
A major weakness of early video generators was temporal inconsistency: objects morphing frame-to-frame, faces flickering, or scene geometry drifting. Sora 2 makes significant strides in solving this. Across 10-second (and sometimes longer) videos, objects remain stable, actions continue naturally, and the scene retains structural integrity.
Veo 3 also shows improvement here, but with caveats. While its short clips (typically 4–8 seconds) hold together well, subtle issues can emerge in complex motion sequences or rapid cuts. In side-by-side prompts involving a person dancing through a rainstorm or a dog running through a forest, Sora 2 often preserves object integrity and movement more effectively over time.
However, Veo 3’s strength in lighting and composition can sometimes make its videos appear more polished—even when inconsistencies are present.
Audio Integration and Lip Sync
Here’s where Veo 3 pulls ahead decisively. Veo 3 not only generates realistic visuals but also supports synchronized audio, including ambient noise, sound effects, and even lip-synced speech. This makes it uniquely suited for use cases like video ads, dialogue scenes, and social media content that require full audiovisual immersion.
Sora 2 has made progress in audio generation, but lip-sync remains rudimentary in current versions. While OpenAI has demonstrated Sora’s ability to match ambient sounds to visuals (like footsteps or weather effects), it has not yet caught up to Veo in producing realistic spoken dialogue.
For creators working in multimedia formats, Veo 3’s audio capabilities are a game-changer.
Prompt Control and Creative Flexibility
Controllability—how much influence users have over the generated output—is key to unlocking creative potential. Veo 3 offers a relatively straightforward prompting system, often yielding high-quality results with minimal fine-tuning. However, it sometimes sacrifices precision for polish; complex multi-step prompts or shot-specific instructions can be hard to achieve.
Sora 2, in contrast, supports a more nuanced form of instruction. It appears better at following detailed, layered prompts involving camera angles, character action, and scene transitions. This makes it especially appealing to storytellers or developers who want fine-grained control over the output.
If you’re crafting a multi-part scene with shifting perspectives and nuanced interactions, Sora 2 often delivers a more controllable, logically grounded result.
Limitations and Access
Despite their power, both models remain gated behind layers of access control. Veo 3 is currently integrated into Google’s suite of tools and remains limited to selected creators, while Sora 2 is available through invite-only access via OpenAI’s platform.
Sora 2 also enforces stricter prompt filtering—especially around violence, celebrities, and copyrighted characters—making it less permissive in some creative contexts. Veo 3, while still governed by safety policies, appears slightly more lenient in some edge cases, though this can change with updates.
Both models are also computationally intensive, and neither is fully accessible via open API or commercial licensing at scale yet.
Final Verdict: Different Strengths, Different Futures
If you’re choosing between Sora 2 and Veo 3, the best answer may not be “which is better?” but “which is better for you?”
- Choose Veo 3 if your priority is audiovisual polish, cinematic beauty, and natural soundscapes. It’s ideal for creators looking to generate short, eye-catching content with minimal post-processing.
- Choose Sora 2 if your work demands physical realism, temporal stability, or precise narrative control. It’s a better fit for complex scenes, storytelling, and simulation-heavy tasks.
Both are leading the charge into a future where the boundary between imagination and reality blurs further with every frame. As the models continue to evolve, the true winners will be the creators who learn to harness their distinct strengths.
AI Model
Ray3 by Luma AI: The First Reasoning Video Model That’s Changing the Game for Creators

The Future of Video Starts Here
In a world saturated with generative content tools, few innovations truly reset the creative landscape. But Luma AI’s latest model, Ray3, just might be one of them.
Touted as the world’s first reasoning-capable video generation model, Ray3 doesn’t just turn text into moving images—it thinks, plans, and refines. And for filmmakers, designers, animators, and creators across the board, it promises something most AI tools still can’t deliver: control, quality, and cinematic depth.
What Makes Ray3 Different
Unlike typical AI video generators that fire off a single clip from your prompt and hope for the best, Ray3 is built to reason. It operates more like a creative collaborator—reading your input, breaking it down into visual tasks, checking its work, and upgrading the result to cinematic quality.
This “thinking before rendering” architecture means you get:
- Smarter scenes: with better alignment between prompt, motion, and story.
- Cleaner drafts: that evolve into hi-fi, high dynamic range (HDR) final cuts.
- Real-time visual feedback: draw on a frame to guide the camera or movement.
Ray3 even allows creators to sketch annotations—like arrows for motion or curves for a camera path—and have the model understand and execute them. This isn’t just text-to-video; it’s direction-to-video.
HDR Native, Studio-Ready
One of Ray3’s most impressive feats is its ability to generate video natively in HDR, supporting 10-, 12-, and 16-bit color depths. For anyone working in film, advertising, or visual effects, this is more than a feature—it’s a lifeline.
With EXR and ACES export support, you can finally drop AI-generated footage directly into professional post-production workflows without conversion or quality loss. The footage is not just pretty—it’s usable, flexible, and cinematic.
This is especially important for:
- Colorists who demand dynamic range and tonal control.
- VFX artists who need footage to integrate seamlessly with rendered scenes.
- Agencies that require brand-safe, edit-ready assets.
Built for Iteration, Not Guesswork
Ray3 introduces a draft and refine workflow. You can quickly explore ideas in lightweight draft mode—low latency, faster feedback—and then promote your favorite version to full high-fidelity output. This dramatically shortens the feedback loop and puts creative control back into the hands of the user.
Behind the scenes, Ray3 continuously evaluates its own output: Is the shot on target? Is the movement fluid? Does the light hit right? It loops through generations until the result feels polished—so you don’t have to waste time regenerating manually.
More Than a Generator—A Creative Partner
While many generative tools feel like black boxes, Ray3 invites interaction. Prompt it, sketch over frames, revise outputs, and guide its choices. The combination of natural language, visual annotation, and cinematic intelligence makes Ray3 a new kind of AI: one that collaborates instead of guessing.
For creators, this unlocks a new tier of control:
- Want to simulate a dolly zoom or pan? Sketch the camera path.
- Need to maintain a character’s appearance across scenes? Ray3 tracks identity.
- Trying to hit a visual beat or dramatic moment? Refine and direct like on a set.
Why You Should Try Ray3 Now
If you’re a creative looking to break into AI-driven video, Ray3 offers the most professional, flexible, and intuitive workflow to date. You no longer have to choose between speed and quality or creativity and control. Ray3 gives you all of it—cinema-quality video with real creative direction.
Whether you’re building a storyboard, visualizing a scene, crafting an ad, or just exploring visual storytelling, Ray3 invites you to create faster, better, and with far more control than ever before.
This isn’t just the next step in AI video. It’s a leap.
AI Model
How to Use Sora 2: The Complete Guide to Text‑to‑Video Magic

A few years ago, if you wanted to produce a compelling short video, you’d need a camera, editing software, a good sense of timing—and time itself. Now, with the release of Sora 2, OpenAI has collapsed all those layers into a single, frictionless prompt. You write a sentence, hit generate, and moments later you’re watching a living, breathing video, complete with motion, camera angles, synced sound, and even your own voice or likeness—if you want it.
Whether you’re a creator looking to accelerate your workflow, an educator dreaming of visual learning aids, or a brand looking to prototype cinematic content without a film crew, this guide will show you how to use Sora 2—and why you’ll want to start immediately.
What Is Sora 2?
Sora 2 is OpenAI’s most advanced text-to-video model to date. It builds on the foundation of Sora 1 but makes a quantum leap in quality, interactivity, and integration. Unlike earlier attempts at AI video generation—which often felt more like animated collages than real scenes—Sora 2 delivers multi-shot, physics-aware, audio-synced video with cinematic pacing and stunning continuity.
What sets it apart is how tightly it integrates visual storytelling elements. It doesn’t just animate motion—it understands physical realism, camera dynamics, facial expression, and how sound should match both lips and environment. Users can guide not only what appears on screen but how it’s filmed: angle, motion, pacing, transitions, and lighting style are all fair game.
Another critical evolution is audio. Sora 2 doesn’t just layer music or effects after generating a video. It generates sound as part of the same pipeline, so ambient effects, voices, footsteps, and environmental reverb feel naturally woven into the scene. The result is not just a video clip—it’s a scene.
What Can You Create with It?
The most immediate use case for Sora 2 is short, high-impact videos—clips that would otherwise take hours or days to shoot and edit. You can create cinematic vignettes, concept trailers, storyboards, surreal art pieces, or even science explainers, all within seconds. Imagine typing, “A bioluminescent jellyfish drifts through a dark ocean trench, soft ambient music plays, camera slowly pans upward,” and watching that come to life without touching a camera.
For educators, Sora 2 offers new ways to illustrate complex ideas. A simple sentence like, “The Earth’s magnetic field deflects charged particles from the Sun, visualized with swirling auroras,” could become a short, beautiful educational clip. Product designers and marketers can pitch ideas with concept scenes: “A futuristic smartwatch glows on a rotating pedestal, minimalist background, soft techno soundtrack.” Writers can even storyboard key scenes from a screenplay or novel, letting visuals test how a moment might feel on screen.
You can also include yourself in the videos. Sora 2 allows for cameo features—upload a short video and voice sample, and the system can insert a stylized version of you into the scene, with consent and watermarking controls built-in. It’s a remarkable way to personalize content or deliver messages in first-person.
What It Doesn’t Do (Yet)
Despite its magic, Sora 2 isn’t a full-blown movie studio. Its videos are short—think 5 to 15 seconds—and while impressive, they aren’t quite Hollywood-polished. You won’t be crafting hour-long narratives or multi-character dialogues with sharp plot arcs anytime soon.
There are also occasional limitations in object coherence and lip sync, especially in complex scenes. The model may struggle with overlapping hands, reflections, or precise physics in edge cases. Some content types are restricted due to ethical or legal concerns—non-consensual likenesses, deepfake risks, and copyrighted characters fall under protective blocks. OpenAI is actively building out these controls, including watermarking and consent management.
Still, for short-form content, rapid ideation, or storytelling experiments, Sora 2 is already far beyond anything else on the market.
Getting Access to Sora 2
At launch, Sora 2 is available via two primary paths: the official Sora iOS app and the CometAPI developer interface.
The iOS app offers a user-friendly experience with an elegant prompt interface, remix options, and cameo tools. It’s currently invite-only in the U.S. and Canada. If you’re lucky enough to secure a code, you’ll find the app remarkably intuitive. You write, generate, review, tweak, and share—all within one loop.
For more advanced users, CometAPI provides API-level access to Sora 2. This is ideal for developers, studios, or AI toolmakers who want to integrate video generation into their own applications or workflows. Using the CometAPI dashboard, you can input prompts, manage parameters, handle outputs, and pay only for what you use. Pricing currently sits around $0.16 per video clip, a fraction of the cost of any traditional production route.
Writing the Perfect Prompt
The heart of your experience with Sora 2 lies in how you write prompts. A strong prompt includes four core elements: subject, motion, style, and sound. You don’t need to be a screenwriter—but thinking like a director helps.
For example, instead of saying:
“A robot in a city.”
You might say:
“A sleek silver robot walks slowly through a rain-soaked neon alley at night. The camera follows from behind at low angle. Reflections shimmer on wet pavement. Ambient synth music plays softly with the sound of distant thunder.”
The added detail gives Sora more to work with—and more control for you. You can also include shot types (“cut to close-up,” “zoom out slowly”), specify moods (“dreamlike,” “suspenseful”), and mention sound effects (“footsteps echo,” “distant sirens”). If you want a two-shot sequence, note that explicitly.
Start simple, then iterate. Your first draft may be too vague or too cluttered. Watch what Sora does with it, then refine based on what worked. Tuning prompt language is like learning a new creative dialect—it gets better with practice.
Using the Cameo Feature
Sora’s cameo system is one of its most exciting features. You can upload a short video and voice clip of yourself, and the model will allow your likeness to appear in generated content. This isn’t a one-off gimmick—it’s designed for safe, revocable, opt-in personalization.
Before your face or voice appears in a video, you’re prompted to set permissions: how the likeness can be used, where, and for how long. You can block certain content types (political, violent, brand-related) and revoke permission at any time. Watermarks and traceability tags are built in to prevent abuse.
This opens the door to personalized birthday messages, branded explainer videos featuring founders, or social content starring creators without needing a full shoot. It’s a powerful creative shortcut with strong ethical guardrails.
Tips for Better Results
To make the most of Sora 2, start by visualizing your idea before writing. Think in scenes: where is the action, what’s moving, what mood are you going for? Describe not just what appears, but how it behaves. The more cinematic your mental storyboard, the better your results will look.
Avoid overly complex scenes with too many actors or props on your first tries. Clutter can confuse the model and lead to artifacts. Begin with one subject and one motion, and slowly add complexity as you build confidence.
Consider chaining outputs. Generate a base clip, then tweak the prompt for a sequel or a variation. This creates a feeling of continuity, even across separate clips. You can remix successful videos into new angles or explore alternative styles with minimal rewriting.
Use the review loop wisely. Watch your clips with a critical eye—how does the camera move? Are transitions smooth? Is the pacing too fast or too slow? Small changes in phrasing can drastically shift results.
Why You Should Start Now
Sora 2 isn’t just an exciting tool—it’s a rapidly evolving platform, and early adopters are in a prime position to shape how it’s used. The video language of AI is still being invented. Those who start experimenting now will be better prepared to lead, teach, or monetize as the technology matures.
Already, entire communities are springing up around prompt design, remix battles, and thematic challenges. Brands are exploring Sora-driven storytelling for launches and ads. Educators are brainstorming how to use it in classrooms. And individual creators are carving out new genres of content born entirely from text.
If you’ve ever been held back by gear, budget, or time, Sora 2 removes the friction. All you need is an idea—and a few words to bring it to life.
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