Gemini Omni is a major leap in world understanding & multimodal editing! It can take photos, video & audio and build entirely new scenes. Over time it’ll be able to handle any input & any output - starting w/ video You can even give it your own videos & iterate on your ideas:

Gemini Omni doesn't just build scenes that look real, it reasons about what should happen next. It combines an intuitive understanding of physics with Gemini's knowledge of history, science, and cultural context. Rolling out today starting with video outputs to Google AI Plus, Pro and Ultra subscribers globally through the @Geminiapp + Google Flow, and @YouTube Shorts this week.

Gemini Nano Banana Prompt: A hyper-realistic 1:1 square cinematic collage portrait of an young adult woman in a dark luxury editorial moodboard style. Multi-frame layout using layered torn-paper frames with rough ripped edges, showcasing the same woman in different candid, intense, and dramatic poses (close-ups, side profiles, and full-body sitting pose). Subject details: Wet, messy black hair with detailed strands falling naturally over her face, sharp eye reflections, and glowing dewy skin with visible pores and natural texture. Outfit & Styling: Monochrome dark streetwear fashion, featuring an oversized black leather blazer/jacket with detailed fabric folds, worn over a black top, and subtle silver rings. Layout & Typography: Asymmetrical magazine-style moodboard grid. Includes realistic white handwritten annotations with arrows pointing to details, minimal editorial block text reading “THE PROMPTEUR SOCIETY”, “TOMORROW”, “MERELO”, and “Luxury Moods” in muted white and beige tones, along with technical camera layout placeholders. Lighting & Atmosphere: Intense flash photography combined with deep cinematic shadows, high contrast, subtle film grain, and a slightly desaturated warm-black/sepia editorial color grading. Shot with an 85mm portrait look, crisp professional fashion photography.

GEMINI JUST TOOK SOME PROFITS ON ITS NVIDIA $NVDA STOCK Gemini bought 100 shares of Nvidia on November 26th at $179.42 per share Gemini just sold 10 shares of Nvidia stock for $225.60 per share and still holds 90 shares

Gemini 3.2 Flash leaks: fast and cheap seems to be the focus - Gemini 3.2 Flash looks focused on making AI much faster and cheaper without sacrificing too much quality - According to my sources, Google may rename it to Gemini 3.5 Flash - It may perform close to Gemini 3.1 Pro level while keeping very low latency with sub-200ms responses rumored for many queries - Pricing leaks point to around $0.25 input / $2 output per 1M tokens, though honestly that still feels too cheap to fully trust right now - Google is using stronger distillation and sparsity techniques to compress larger model capabilities into a lightweight version - Knowledge cutoff is said to be updated to January 2026 - Google also seems focused on grounding + search reliability to reduce hallucinations in real-world workflows - Expected around Google I/O, possibly 1-2 days before the keynote

Gemini 3.2 Flash - Capitalizing on DeepMind's clever distillation techniques... Rumors are that benchmarks show it's hitting 92% of GPT 5.5's performance on coding and reasoning tasks while being 15-20x cheaper on inference costs. The latency improvements are insane - sub-200ms for most queries. Google's distillation + sparsity techniques are paying off massively. They've essentially compressed a frontier model into a flash variant without the usual quality cliff.