What is current limitations of veo2 by Google

While Google's Veo 2 represents a significant advancement in AI video generation, it currently has several limitations:

Output Quality and Duration:

• Resolution: The current output in the Gemini and VideoFX interface is limited to 720p resolution. While the underlying model can support up to 4K, this high-resolution output is not yet widely available to users.
• Length: Generated video clips are currently short, with a maximum duration of 8 seconds in Gemini and VideoFX. While the model is capable of generating longer videos, this capability is not yet fully accessible.
• Audio: Veo 2 does not generate audio. Users need to add background music or voiceovers separately using video editing software.

Access and Usage:

• Availability: Access to Veo 2 is not universally available. It is currently primarily accessible to Gemini Advanced subscribers and through the Google AI Studio and VideoFX platforms, with initial rollouts often limited to specific regions like the U.S.
• Monthly Limits: There are monthly limits on the number of videos users can generate, although the exact number isn't always specified and can vary between platforms like Gemini and AI Studio. Users are typically notified as they approach these limits.
• Cost: For developers looking to integrate Veo 2 through the Gemini API, it is a paid feature, not available on the free tier. The cost can be significant for high usage.

Feature Limitations:

• Input Modalities: Currently, the primary input for Veo 2 is text prompts. While it can also animate images, it doesn't yet fully support audio input for video generation.
• Editing Capabilities: There are limited post-generation editing capabilities within the Veo 2 interface itself. Users often need to rely on external video editing tools for further refinement.
• Control Over Specificity: While Veo 2 can follow detailed prompts, it may not always interpret complex instructions perfectly, and users might experience deviations from their intended vision or occasional deformities in subjects.

Ethical Considerations:

• Potential for Misinformation: As with any advanced AI generation tool, there's a risk of misuse for creating misinformation or harmful content, although Google has implemented safety filters and watermarking (SynthID) to mitigate this.
• Bias in AI Models: There are ongoing concerns about potential biases in the AI model that could lead to skewed or unfair representations in the generated videos.

It's important to note that Google is actively developing and improving Veo 2, so some of these limitations may be addressed in future updates. The current constraints reflect the ongoing development and responsible rollout of this powerful technology.