Nano Banana Pro just updated my 2022 $goog investing iceberg. Wow!

Amazing intro ad for the many pockets of country that haven't been waymo-pilled yet $goog

First rides in the Ojai ✅ - SO SPACIOUS. massive leg room in front passenger and back seats - rlly big windows, much better visibility than the Jag - automatically opening doors is clutch the I-Pace is best when going in 1 or 2, the Ojai is great when traveling with groups

i feel 100x safer in a waymo than i do with a human driver.

Gemma 4 adoption numbers outpacing Qwen 3.5/3.6 for the same sized models is a big shift in the international balance of influence via open models.

Gemini Managed Agents Dev Guide: 1 API call = Gemini 3.5 Flash Antigravity Harness remote Linux sandbox. No infra, no orchestration. - Antigravity quickstart (code/files/browsing) - Persistent multi-turn streaming - Custom agents (AGENTS.md mounts) - Ops: snapshots, allowlists, egress creds

SynthID has already watermarked over 100 billion pieces of content, but transparency is a team sport. That’s why we’re partnering with @OpenAI, @ElevenLabs and Kakao to add SynthID watermarking to their models – accelerating the industry-wide momentum we started with @NVIDIA.

Gemini 3.5 Flash is on the Pareto frontier of cost per intelligence on Vending Bench (a measure of a models ability to run a simulated store)!

we saw the same thing with our vision leaderboard still testing and wrapping our heads around Gemini 3.5 Flash but it feels like a pivotal shift in frontier models way cheaper and way faster than anything else, and performance is super high first time it feels like you can really use a VLM for high scale tasks. lots of previous tasks that required making workflows of smaller, cheaper models now looks possible (speed and cost wise) with Gemini 3.5 Flash a few examples below

Gemini daily brief is so good, it’s what we basically dreamed Google Now would become

Google internal token usage has gone up 6X in a couple months due to massive employee antigravity adoption with Gemini 3.5 Flash $GOOG

Introducing Gemini Omni 🔮........ Omni is our new model that can create anything from any input — starting with video (think Nano Banana but for video). Available in the Gemini App, Flow, and YouTube, with API support coming soon!

Personal avatar videos in the new Gemini app are mind blowing $goog

I've been testing Gemini 3.5 Flash for a little while now, and I'm excited to be able to share one of the outputs that most impressed me! This was 0-shot, no harness, with a single sentence prompt. It outperformed all Claude models, Gemini models (by far), and arguably GPT-5.5 🔥 The issue of laziness that has plagued Gemini models forever has mostly been consigned to history.

Very impressive for image to video AI here $goog

Always fun to look back at bast interviews/discussions to see how far we've come. Just over a year ago we showcased Genie 2 on 60 Minutes, with a research demo and some big open questions. We've only just started scratching the surface of the answers, but already amazing things are happening

I/O tomorrow is gonna be sick $goog

GOOGLE 🔥: A new Gemini Spark Agent is about to be revealed during Google I/O. Gemini Spark will work as a 24/7 assistant that can learn from user behavior and work with connected apps and skills. > Let Gemini do more as your everyday AI agent, ready 24/7 to help with your inbox, online tasks, and more. > The more you use Gemini Spark, the better it understands you and what you want to accomplish. To work on your tasks, it uses your info from sources like Connected Apps, skills, chats, tasks, websites you’re logged into, Personal intelligence, location, and more. > To help you get things done efficiently, Gemini saves remote browser data, like login details and remote code execution data. You can clear this data and turn off Connected Apps and other Personal intelligence features in Settings.

Google has been 'quietly' killing it. Glad to surface this real-world data. Meet so many happy Gemini Vercel AI Gateway customers every day; congrats to the team.