The release of Google's latest AI video model, Veo 3, is a significant milestone in the world of AI-generated content. Veo 3 is the first time since the original Sora launch that something in AI video has truly felt next-level. This model can generate video, sound effects, music, and fully lip-synced dialogue all in a single coherent output.

One of the most impressive features of Veo 3 is its ability to generate dialogue. The model can fill in the gaps and create natural-sounding conversations, as demonstrated by the example of Isaac Newton rapping about gravity. The platform also showcases impressive capabilities in areas like street interviews, where the model seamlessly synchronizes facial expressions and body language with the generated dialogue.

The Veo 3 is part of Google's new filmmaking platform, Flow, which combines Veo, the image generator Imagine, and Gemini into a comprehensive creative suite. The platform offers tools like text-to-video, image-to-video, and a feature called "Ingredients" that allows users to upload individual characters, objects, or scenes and use them as modular building blocks across multiple generations.

While Veo 3 represents a significant leap forward, it is not without its quirks. The model can sometimes produce awkward pauses or inconsistencies in the generated dialogue, and the image-to-video feature is not as impressive as the text-to-video option. Additionally, the platform's current pricing structure, with the Veo 3 only available through Google's Ultra plan at $250 per month, may be a barrier for many users.

Despite these limitations, the ability of Veo 3 to generate video, sound effects, music, and dialogue simultaneously is a remarkable achievement. As the technology continues to evolve, we can expect to see even more impressive advancements in the field of AI-generated content.

The release of Veo 3, Google's latest AI video model, has truly felt like a next-level advancement in the world of AI-generated content. This model's ability to generate video, sound effects, music, and fully lip-synced dialogue all in a single coherent output is a remarkable achievement.

One of the most impressive aspects of Veo 3 is its dialogue generation capabilities. The model can handle a wide range of scenarios, from comedic skits to emotional performances, seamlessly blending the dialogue with appropriate facial expressions and body language. The examples showcased, such as Isaac Newton rapping about gravity or a stand-up comedian telling a joke, demonstrate the model's versatility and the level of realism it can achieve.

Beyond just dialogue, Veo 3 also excels at generating other audio elements, including music and sound effects. The model's ability to create a full-fledged musical performance, complete with a saxophone solo or a frog playing the banjo, is truly impressive. These audio-visual combinations further enhance the immersive experience and showcase the model's holistic approach to content generation.

However, it's important to note that Veo 3 is not without its quirks and limitations. The model occasionally struggles with maintaining consistent quality, particularly in complex scenes or when transitioning between different characters and emotions. The occasional awkward pauses or mismatched subtitles serve as a reminder that the technology, while advanced, is still a work in progress.

Despite these minor issues, the overall capabilities of Veo 3 are undoubtedly a significant step forward in the realm of AI-generated video. The model's ability to seamlessly blend dialogue, audio, and visual elements opens up new possibilities for content creation, from educational tutorials to cinematic experiences. As the technology continues to evolve, it will be exciting to see how Veo 3 and similar models push the boundaries of what's possible in the world of AI-powered video generation.

The release of VO3, Google's latest AI video model, has been a game-changer in the world of AI-generated content. This powerful tool can now generate video, sound effects, music, and fully lip-synced dialogue all in a single coherent output.

One of the standout features of VO3 is its ability to handle dialogue generation. The model can take a simple prompt and fill in the gaps, creating natural-sounding conversations. This is showcased in examples like the Isaac Newton rap and the street interviews, where the AI-generated dialogue and body language are remarkably convincing.

The Flow platform, which integrates VO3 with other tools like Imagine and Gemini, provides a comprehensive suite for creating AI-generated videos. The text-to-video and image-to-video capabilities allow users to generate content from scratch or use modular building blocks, such as characters, objects, and scenes, to create more complex scenes.

While VO3 has made significant strides, it still faces some limitations. The image-to-video feature, for example, often underperforms compared to the text-to-video option, and the audio generation can sometimes falter, leading to awkward pauses or inconsistencies. Additionally, the platform's scene-building tools, such as "Extend" and "Jump to," have room for improvement in terms of seamlessly transitioning between scenes.

Despite these challenges, VO3 and the Flow platform represent an exciting step forward in the world of AI-generated content. The ability to create coherent, multi-faceted videos from simple prompts opens up new avenues for creativity and storytelling. As the technology continues to evolve, we can expect to see even more impressive and versatile AI-powered video tools in the future.

The ability to extend clips and jump between scenes is one of the more interesting features in Google's Flow platform. However, the current implementation of these tools has some limitations that can be frustrating to work with.

When trying to extend a clip, the process is straightforward - you simply click the "Add to Scene" button, which opens up the scene builder tool. From there, you can add more dialogue or action to continue the scene. Unfortunately, this feature currently only works with the lower-quality Turbo model, which lacks the audio generation capabilities of V3. The result is an extended clip with no sound.

The "Jump to" feature, on the other hand, does utilize the V3 model. However, the results are often inconsistent and don't align well with the prompts. Instead of seamlessly transitioning to a new scene as expected, the model often cuts to a completely different angle or character, with dialogue that has little to do with the prompt.

For example, when trying to extend a dialogue scene with a close-up of a character, the model generated a curious and complacent expression, completely missing the intended prompt. Similarly, attempts to have the model jump to a character skating over a person resulted in a different scene altogether, with significant warping in the background.

These advanced features sound promising in theory, but in practice, they fall short of delivering a reliable and coherent experience. The inconsistency makes it difficult to trust these tools for anything that requires a specific, polished output.

The one exception seems to be when simply needing a few extra frames at the end of a clip. In these cases, the extend feature can work reasonably well, even if the audio is missing. But for more complex scene transitions or additions, it's best to skip these tools entirely and focus on refining the initial prompt to get the desired result.

Overall, the extending and jumping features in Flow's scene builder are a work in progress. While the concept is intriguing, the current implementation falls short of providing a reliable and seamless way to build out more complex video narratives. As the technology continues to evolve, these tools may become more useful, but for now, they are best avoided in favor of a more manual, prompt-driven approach.

The Ingredients to Video feature in Google's Flow platform allows users to combine custom character and setting references to generate unique video outputs. This feature leverages the power of V2 models to blend user-provided assets into a cohesive scene.

To demonstrate this, I started by uploading a punk rock rubber duck with a mohawk and leather jacket as the primary character. I then added a secondary ingredient, a scene of water running in the gutter of an alley, to provide the setting. Submitting these two elements along with a text prompt resulted in a video that successfully combined the custom assets as requested.

However, I found that adding a third ingredient, such as a "classy duck", required more reinforcement in the prompt to ensure the model accurately incorporated all the desired elements. The Ingredients to Video feature can be a useful tool for creating unique video content, but maintaining consistency across multiple custom assets may require additional prompt engineering.

Overall, this feature provides a way to leverage user-provided visual elements within the Flow platform, though the quality and coherence of the final output can vary depending on the complexity of the requested scene. As with other AI-powered video generation tools, the Ingredients to Video feature represents an exciting step forward, but may still have room for improvement in terms of reliability and flexibility.

Despite the impressive capabilities of Veo 3, the model still faces some challenges and limitations that users should be aware of:

1. Inconsistent Performance: While Veo 3 can generate impressive results, its performance can be inconsistent, especially when dealing with complex prompts or scenarios. Users may encounter unexpected outputs or glitches, such as awkward pauses, mismatched subtitles, or distorted character movements.

2. Limitations in Motion and Physics: Veo 3 struggles with high-complexity motion, such as gymnastics, cartwheels, or complex dance moves. The generated movements can appear warped or unrealistic, especially when characters go upside down or perform intricate physical actions.

3. Audio Generation Challenges: The audio generation capabilities of Veo 3 are impressive, but they can falter when starting from image-based inputs. Users may encounter issues with the model's ability to generate coherent dialogue or singing when prompted from images.

4. Limitations in Scene Editing and Continuity: The "Extend" and "Jump to" features in the Flow platform, which are designed to allow users to extend or transition between scenes, have not yet been fully realized. These features often produce results that do not align with the user's prompts or expectations, making it difficult to maintain continuity across multiple scenes.

5. Pricing and Accessibility: Veo 3 is currently only available through Google's Ultra plan, which carries a steep price tag of $250 per month (or $125 for the first 3 months). This high cost may make the model inaccessible to many users, especially those who are not part of the target enterprise-level audience.

6. Regional Availability: At the moment, Veo 3 is only available in the United States, limiting its accessibility to a global audience.

Despite these limitations, Veo 3 represents a significant step forward in the field of AI-generated video. As the technology continues to evolve, it is likely that many of these challenges will be addressed in future iterations. However, users should approach Veo 3 with realistic expectations and be prepared to work around its current limitations to achieve their desired results.

The release of Veo 3, Google's latest AI video model, marks a significant milestone in the advancement of AI-generated video. This model can now generate video, sound effects, music, and fully lip-synced dialogue all in a single coherent output, a major leap forward from previous iterations.

One of the most impressive features of Veo 3 is its ability to generate dialogue. The model can fill in the gaps and create natural-sounding conversations, as demonstrated by the examples of Isaac Newton rapping about gravity and the street interviews. The lip-syncing and facial expressions are also remarkably accurate, addressing a long-standing pain point in the field of AI video generation.

While Veo 3 is not without its quirks, such as the occasional awkward pauses and inconsistencies in character movements, the overall progress is undeniable. The model's ability to handle complex prompts, including multiple characters and emotions, showcases its versatility and the potential for further refinement.

The integration of Veo 3 into Google's Flow platform, which combines it with other AI tools like Imagine and Gemini, provides a comprehensive suite for video creation. Features like the ability to extend clips and jump to new scenes, as well as the modular "ingredients" system, offer additional creative possibilities, although the implementation of these features still requires some refinement.

While the current pricing model of $250 per month (or $125 for the first 3 months) may be a barrier for many users, the release of Veo 3 signals the beginning of a new era in AI-generated video. As other platforms and models strive to catch up, the future of this technology looks increasingly promising, with the potential to transform the way we create and consume video content.

The release of VO3, Google's latest AI video model, marks a significant leap forward in the field of AI-generated video. The ability to generate video, sound effects, music, and fully lip-synced dialogue in a single coherent output is a remarkable achievement.

While VO3 still struggles with complex prompts and some quirks in real-world use, the progress made is undeniable. The model's strengths lie in its ability to handle a wide range of scenarios, from stand-up comedy to slam poetry, cooking tutorials, and even non-human characters.

The integration of VO3 into Google's new filmmaking platform, Flow, provides a comprehensive suite of tools for creators to explore the possibilities of AI-powered video generation. Features like text-to-video, image-to-video, and the ability to extend and jump between scenes offer a glimpse into the future of video creation.

However, the current pricing model of the Ultra plan may be a barrier for many users, and the inconsistency in the quality of results when using custom images is a limitation that needs to be addressed.

As the next wave of AI video platforms emerges, the impact of VO3 and its successors will be significant. The ability to generate coherent, lip-synced dialogue and audio in a single pass is a game-changer, and it will be exciting to see how other platforms respond and innovate in this rapidly evolving field.