Google DeepMind just debuted 'Dear Upstairs Neighbors' at the Sundance Film Festival, an animated short co-created with animation veterans. Instead of relying on text prompts, researchers built custom video-to-video workflows and local refinement tools powered by Veo and Imagen. Why it matters: It shows a practical path where professional animators keep precise creative control instead of wrestling with AI randomness.
Disney just slapped Google with a cease-and-desist letter, accusing AI models like Gemini and Veo of "massively" infringing on iconic characters from Frozen, Marvel, and Star Wars. The timing is striking: Disney sent the notice right before sealing a billion-dollar deal granting OpenAI's Sora legal access to over 200 characters. Google pushed back, arguing its models rely on open web data backed by existing copyright tools.
Google DeepMind just premiered its first AI-assisted short film, "ANCESTRA," in collaboration with director Darren Aronofsky's Primordial Soup at the Tribeca Festival. The crew paired live-action scenes with the Veo video model, using new motion-matching and object-insertion tools to blend an AI-generated newborn directly into real footage. It marks a big step toward making generative video usable in real Hollywood pipelines.
Google just dropped a massive update to Vertex AI at its Cloud Next conference. PaLM 2 gets a 32k-token context window alongside quality boosts to Imagen and Codey, while third-party heavyweights like Claude 2 and Llama 2 join its Model Garden. With new extensions and enterprise search tools, Google is making a direct bid to outflank AWS Bedrock.
Google just launched the beta version of SynthID, an imperceptible watermarking tool developed with DeepMind to spot synthetic images generated by Imagen. Instead of altering image quality, it embeds digital markers directly into pixel data that survive filters and compression. It's rolling out first to select Vertex AI customers.
Researchers from Google Brain, UC Berkeley, and Princeton just revealed that diffusion models like Stable Diffusion and Imagen memorize and spit out exact images from their training sets. While the duplication rate was only 0.03% across 300,000 prompts, larger models are even more likely to replicate originals. Why it matters: it breaks the claim that AI only creates novel work, creating massive copyright and privacy risks.
