No matter how you spell it, 250 years of American innovation, ingenuity & curiosity is something to celebrate. Have a happy & safe 4th of July!
Introducing Nano Banana 2 Lite 🍌 and Gemini Omni Flash 🔮, our new generative media models in the Gemini API and AI Studio!
Nano Banana 2 Lite is extremely fast (<4s image) & cheap ($0.034 / 1K image).
Omni Flash is SOTA at video editing at $0.10 / sec, same as Veo 3.1 Fast!
Exciting news: Gemini Omni Flash is now #1 in the Video Arena (both Text-to-Video and Image-to-Video)!
For Text-to-Video this is a massive +158 pt improvement over Veo 3.1 (1080p) and a large +61 pt lead over the next best model, Seedance 2.0.
Congrats @GoogleDeepMind for this huge milestone!
America’s digital economy relies on our physical infrastructure and the electricians, pipefitters, welders, manufacturing workers & more who build and maintain it.
Today, we’re making an additional @googleorg commitment to help 300K American workers prepare for these in-demand skilled trades careers, expanding on the $1B we’ve already provided for digital skills and training globally.
DiffusionGemma is an open, experimental model that brings our text diffusion research to Gemma 4. It’s a racehorse 🏇achieving up to 4x faster inference by generating entire blocks of text simultaneously vs predicting token-by-token (word-by-word) output!
Introducing Gemini 3.5 Flash Live Translate, our real time speech to speech translation model which supports more than 70 languages (both in and out), and is so natural.
It is available in the Gemini API, AI Studio, & Google Translate right now + coming soon to Google Meet!!
The new killer NotebookLM feature: easily being able to expand your search beyond your own source files
Then, with today's update, you can also make new output formats: PDFs, DOCX, XLSX, PPTX, charts, etc.
We want NotebookLM to keep helping you do better research
Our new Gemma 4 12B model hits a sweet spot between size + performance: it can run locally on a laptop, while enabling powerful multi-step reasoning and agentic workflows. Can’t wait to see what the community does with this one!
Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new Gemma 4 12B model! It's incredibly powerful for such a small model and it’s tiny enough to run locally on a laptop with just 16GB VRAM. Apache 2.0 license - happy building!
On Monday we announced an equity offering for Alphabet - part of our multi-year investment strategy to meet the AI opportunity ahead and support the demand we’re seeing from enterprises and consumers. Pleased to share the offering was well over-subscribed. We raised a total of ~$45B, with an additional $40B to come as part of an “at the market” program starting in Q3 (for a total of ~ $85B). A huge thank you to our investors, including Berkshire Hathaway who invested $10B.
We’ve heard your feedback about hitting limits too quickly on @GeminiApp. We're rolling out several fixes to make your quota stretch further and feel more predictable… 🧵
Today we’re introducing Google AI Threat Defense - a comprehensive AI-powered cybersecurity solution designed to help continuously monitor for and stop AI-powered threats before they can impact your business. Here’s how it works:
1. AI Threat Defense uses our cybersecurity platform @wiz_io to scan and prioritize what applications and systems have the highest security risk.
2. Gemini and other frontier AI models can then autonomously perform continual deep scanning of your applications - starting with those at the highest risk - to identify security vulnerabilities.
3. The capabilities of CodeMender - a new software repair agent - are then used to verify and accelerate the patching of vulnerabilities.
4. And our @wiz_io autonomous agents continuously test your systems to find unknown vulnerabilities before adversaries do so that you can remediate them before you are attacked.
While other model providers focus on using AI to find and flag vulnerabilities, Google AI Threat Defense actively prioritizes your most critical real-world risks and accelerates their remediation using a variety of models since no single model finds a superset of the vulnerabilities found by all other models.
A top feature request is rolling out in @NotebookLM: Google Drive files will now automatically sync! 🔄
We're actively rolling this out, starting with 10% today and ramping up soon.