Full Recap of Google’s Massive AI Releases

Google’s latest AI advancements introduced at I/O 2025 include a spread of multimodal models and tools grouped by functionality.

The Gemini family leads with Gemini 2.5 Pro “Deep Think,” which offers parallel hypothesis evaluation and configurable pondering budgets for complex math and coding, surpassing competitor benchmarks. Gemini 2.5 Flash enhances efficiency with thought summaries and reduced token use, available now on AI Studio, Vertex AI, and Gemini app. Gemini 3n targets smartphones and edge devices with lightweight multimodal processing and advanced multilingual support. Gemini Diffusion accelerates text generation through iterative noise refinement, while MedGemma and SignGemma give attention to medical image evaluation and sign language translation, respectively.

In AI storytelling and filmmaking, Veo 3 delivers lifelike video generation with integrated audio, lip syncing, and physics, accessible via Gemini, Flow, and Vertex AI for Ultra subscribers. Imagen 4 produces high-quality 2K images with improved texture detail and typography, supporting multiple platforms including Gemini and Whisk. Flow combines Veo 3, Imagen, and Gemini to enable cinematic scene creation with story management. Lyria RealTime offers interactive music generation via Gemini API, supporting detailed control over genre, instruments, and audio quality.

For coding and developer tools, Agentic Colab autonomously analyses and refines code across notebook cells with error fixes and data workflows. Gemini Code Assist 2.5 provides AI co-pilot and multi-file code review capabilities, free for people and GitHub users. Firebase Studio converts Figma designs into full-stack apps with backend provisioning, supported by Firebase AI Logic integrating Gemini and Vertex AI. Jules, powered by Gemini 2.5 Pro, is an asynchronous coding agent running in a secure Google Cloud VM for bug fixes, testing, and prototyping, including audio changelogs. Stitch transforms text and pictures into UI designs with frontend code, supporting Figma export and theming. Google AI Studio now integrates Gemini 2.5 Pro, Imagen 4, and Veo 3 inside its code editor, linked to the GenAI SDK for immediate app generation.

Additional innovations include Google Beam, a 3D video communication platform converting 2D streams into volumetric experiences with light field displays; Project Astra, an experimental AI assistant offering proactive task management via contextual device data; and Google Meet’s real-time speech translation using a DeepMind audio model preserving speaker tone, initially supporting English and Spanish. Google AI Ultra, a brand new subscription tier available within the U.S. for $249.99/month, bundles access to those advanced models and tools, including Gemini, Flow, Whisk, NotebookLM with expanded usage, plus 30 TB storage and YouTube Premium.

At Construct 2025, Microsoft laid out its vision for an “open agentic web,” unveiling over 50 AI updates across software development, system architecture, and scientific research. GitHub Copilot now handles asynchronous tasks like drafting pull requests, refactoring code, and fixing bugs under human review. Agent coordination is handled via Azure AI Foundry using Agent2Agent (A2A) and Anthropic’s Model Context Protocol (MCP), which enables shared memory and multi-agent fluency. MCP is now embedded directly into Windows, giving agents standardized access to directories, subsystems, and built-in permissions to safeguard misuse, demonstrated with Perplexity navigating an area file system via natural language.

Edge compute gets a lift through Windows AI Foundry, allowing on-device agent execution across Intel, AMD, Nvidia, and Qualcomm chips, no custom runtime required. Developers can fine-tune foundation models with proprietary data via Copilot Tuning, deploy Grok 3, or pick from over 1,900 models on Azure. NLWeb, Microsoft’s latest protocol, introduces personalized AI agents to web sites without counting on the cloud.

A standout demo featured Microsoft Discovery, an AI-driven research engine that acts like a virtual team of scientific “postdocs.” It screened 367,000 chemical candidates in only 200 hours to discover a safer coolant for data centre immersion—a process that traditionally takes years.

Built on a graph-based knowledge engine with Copilot integration, Discovery allows researchers to simulate, test, and explore scientific hypotheses through natural language. Microsoft plans to increase its use across pharma, semiconductors, and cosmetics, with integration into Nvidia hardware, Synopsys tools, and eventually quantum computing.