New Models
Gemini 2.5 Pro
Google reclaims #1 with Gemini 2.5 Pro thinking model
Google dropped Gemini 2.5 Pro, a thinking model that took the #1 spot as the best all-around LLM available, with massive jumps on benchmarks like AIME (up nearly 20 points) and GPQA. It inherits native multimodality and a 1M token context window, maintaining high accuracy even at 120k+ tokens on needle-in-a-haystack tests, with surprisingly low latency (~13 seconds on hard reasoning questions vs 45+ for others). Tulsee Doshi, head of product for Gemini models, joined the show to give the inside scoop.
20 point jump on AIME benchmark1M token context window13 seconds latency on hard reasoning questions (vs 45+ for others)
Dev Tools
Gemini Co-Drawing
Gemini Co-Drawing demo uses native image output to help you draw
A Hugging Face space demo, Gemini Co-Drawing, uses Gemini's native image generation output to collaboratively complete and enhance your sketches as you draw. It showcases the new native image-output capability of Gemini 2.0 Flash in an interactive tool.
Major Features & Updates
Gemini Deep Research, Canvas & Live Previews
Google makes Deep Research free, adds Canvas and Live Previews to Gemini
Google made its Deep Research agent free for Gemini users and shipped Canvas, a collaborative workspace with live previews for code and documents. Demos on the show included a playable Tetris game and a markdown word counter built and previewed directly inside Gemini.
Major Features & Updates
NotebookLM Mind Maps
NotebookLM teases Mind Maps for visualizing sources
Google's NotebookLM team previewed Mind Maps, a feature that turns your uploaded sources into interactive visual maps of concepts. It was teased publicly by the team this week ahead of a wider rollout.
Major Features & Updates
Google AI Studio YouTube link understanding
Google AI Studio adds native YouTube video understanding via link dropping
Google AI Studio now lets you drop a YouTube link and have Gemini natively understand the video. This unlocks video analysis, summarization, and support use cases without downloading or preprocessing the content.
Major Features & Updates
Gemini Deep Research (free tier)
Google makes Deep Research free in the Gemini app, powered by Gemini Thinking
Google made its Deep Research agent free for everyone in the Gemini app and upgraded it to run on Gemini Thinking. In a live test on the show it browsed over 150 websites to compile a comprehensive answer, with a polished interface and export to Google Docs.
Major Features & Updates
Gemini 2.0 Flash native image generation
Gemini Flash gains native image generation and conversational editing
Google enabled native image generation in Gemini Flash Experimental, letting users generate and iteratively edit images conversationally inside the same multimodal model. The crew demoed it live on stream, editing photos of themselves with natural-language instructions, and saw it as a preview of how creative tools like Photoshop will work.
New ModelsOpen weights
Gemma 3
Google open sources Gemma 3, 1B-27B multimodal family with 128K context
Google released Gemma 3, an open-weights model family spanning 1B to 27B parameters with multimodal (text, image, video) capabilities, support for over 140 languages, and a 128K context window. The 27B model runs on a single GPU, with Sundar Pichai claiming competitors need roughly 10x the compute for similar performance. It shipped with day-one open source ecosystem support (Hugging Face, Ollama, Kaggle) plus ShieldGemma 2 for content moderation.
Products & Apps
AI Mode & AI Overviews (Gemini 2.0)
Google announces AI Mode in Search powered by Gemini 2.0
Google announced AI Mode, a new conversational search experience in Google Search, alongside Gemini 2.0-powered upgrades to AI Overviews. Robby Stein, VP of Product for Google Search, joined the show for an exclusive interview about the launch, which brings full AI chat-style answers with follow-ups directly into Search.
Dev Tools
Data Science Agent in Colab
Google ships Gemini-powered Data Science Agent in Colab
Google launched a Data Science Agent inside Google Colab, powered by Gemini, that can autonomously generate complete, working notebooks from natural language descriptions of an analysis task. It automates data loading, exploration, and modeling boilerplate for data scientists.