Midjourney launches its first AI video generation model, V1

It’s possible the first image was generated by Gemini, and the other two were further edits based on it. They’re great for the companies releasing them, since they demonstrate how powerful their AI models are, but the implications are troubling. Now, in late April, Google is bringing new editing features to Gemini that you can try right away. It’s even easier than using Google Photos, and the results are similar — you can create completely fabricated memories to replace real ones.

Early user feedback on the AI-heavy subreddit r/singularity (on Reddit), has been largely positive, with many praising the model’s accurate prompt following, high-quality text rendering, and rapid generation speed. Reve describes itself as a “small team of passionate researchers, builders, designers, and storytellers with big ideas.” The company is focused on developing creative tooling that enhances how users interact with AI-powered visuals. The benchmarking group highlighted Reve Image’s ability to generate clear and readable text within images, a historically difficult task for AI models. Apple says that Image Playground will send a user’s description to ChatGPT to generate an image. The tech giant notes that it won’t share anything with ChatGPT without users’ permission.

For now, Reve Image remains freely accessible at preview.reve.art, allowing users to explore its capabilities firsthand. As Reve continues to refine its AI models and expand its offerings, the company is positioning itself as a major player in the evolving world of AI-powered creative tooling. Reve Image is currently available for free preview at preview.reve.art, allowing users to generate images from text descriptions without requiring advanced prompt engineering. Last year, Apple announced that it was bringing ChatGPT to Siri and other first-party apps and capabilities across its operating systems.

• That’s what’s called autoregressive, which is the same underlying method that OpenAI currently uses for image generation.
• In my own brief hands on usage while drafting and creating the header image for this very article, I found Reve to be fairly intuitive and easy-to-use, with impressive visuals and prompt adherence.
• The research exemplifies Apple’s strategy of collaborating with leading academic institutions to advance its AI capabilities.
• It’s just the latest to join a growing list of AI companies rolling out similar features.

Limitations of Generative AI

Gain insight from top innovators and thought leaders in the fields of IT, business, enterprise software, startups, and more. As both these technologies continue to evolve rapidly, the differences between them will likely lessen, with generative AI’s creativity and AI’s data crunching strength found side by side in many advanced applications. One of the greatest concerns about the rise of AI has been job displacement as automated systems replace human roles. Alleviating this issue calls for strategies for transitioning workforces to new or evolved roles, such as reskilling and upskilling programs to prepare employees for roles created by AI advancements. Organizations must consider the broader social implications of deploying AI solutions and work to implement practices that balance technological progress and socioeconomic stability. For the ever-increasing reach and use cases of AI, we need to be able to trust AI and hold the technology accountable–and many users do not trust AI systems.

Apple Intelligence

In my opinion, the result proves the continued superiority of human artistry and attention to detail. OpenAI was likely goaded by the release of Google’s multimodal LLM-based image generator called “Gemini 2.0 Flash (Image Generation) Experimental,” last week. The tech giants continue their AI arms race, with each attempting to one-up the other.

Graham has an honors degree in Computer Science and spends his spare time podcasting and blogging. Imagen 4 is also the first version of Google’s AI image generator that can go up to 2K resolution, meaning you’ll be able to make larger images for presentations and pictures that will look even better when printed out. After each repeated prompt, her face undergoes minute changes, with her skin darkening and hair changing in texture. Eventually, the video shows a Black woman who looks nothing like the original image at all. Still, there were limitations, especially when it came to scaling up to larger, high-res images. That mass-scraping practice has resulted in lawsuits against OpenAI in the past, and we would not be surprised to see more lawsuits or at least public complaints from celebrities (or their estates) about their likenesses potentially being misused.

First things first: What are Normalizing Flows?

It’s therefore seen as a particularly aggressive driver of change across retail, marketing, and e-commerce sectors. Reve AI, Inc., an AI startup based in Palo Alto, California, has officially launched Reve Image 1.0, an advanced text-to-image generation model designed to excel at prompt adherence, aesthetics, and typography. V1 is an image-to-video model, in which users can upload an image — or take an image generated by one of Midjourney’s other models — and V1 will produce a set of four five-second videos based on it. Much like Midjourney’s image models, V1 is only available through Discord, and it’s only available on the web at launch. This keeps the image generation side of the model focused on refining visual details. Consistent with all AI-generated images with Gemini, images created or edited with native image generation will include the invisible SynthID digital watermark.

• Generative artificial intelligence (AI) is valued for its ability to create new content, including text, images, video, and music.
• The course is designed for data scientists, AI developers, and anyone interested in mastering LLMs and applying them effectively in their work.
• Though it may seem to be magic, it’s certainly not, and it takes a decent measure of power to conjure up AI pictures.
• With only so much water and electricity to go around, naturally, AI companies are looking into alternative energy sources to keep the models running.
• After each repeated prompt, her face undergoes minute changes, with her skin darkening and hair changing in texture.
• Their findings show that a single image generation can consume as much as half of a smartphone’s battery charge, approximately 0.011 kilowatt hours of energy.

Google’s new Pixel 9 comes with a variety of AI features, several of which involve images. Explore the future of AI on August 5 in San Francisco—join Block, GSK, and SAP at Autonomous Workforces to discover how enterprises are scaling multi-agent systems with real-world results. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI. While the model is currently only available via the company’s website, there is growing anticipation for API access or potential open-source options. Before its official unveiling, Reve Image was known under the code name “Halfmoon” on social media, generating speculation and anticipation within the AI community.

It’s available to most Google account holders worldwide, except for Workspace and Education users. Rollout will be gradual, but once it reaches your area, you’ll be able to use it via Gemini’s web interface or mobile apps. At the time, I argued that OpenAI’s loose image generation safety rules were a problem, since the tool could easily be used to create misleading or harmful fakes. You can generate an image directly in the Image Library, by clicking Create Image in the top right of the screen. Users can select an automatic animation setting to make an image move randomly, or they can select a manual setting that allows users to describe, in text, a specific animation they want to add to their video.