Google

Google has transitioned Jules from Google Labs beta to full public release. Powered by Gemini 2.5 Pro, Jules runs asynchronously in a cloud VM to read, test, improve, and visualize code with minimal developer oversight. The launch adds a free tier alongside paid “Pro” and “Ultra” plans and introduces a critic capability that flags issues before changes are submitted.

A new generation of world models is here. DeepMind’s Genie 3 turns text prompts into playable 3D environments at 24 fps with persistent memory and interactive elements. While still in research preview, it represents a major step toward AI agents that can learn and act in open-ended virtual worlds.

New side-panel Canvas and real-time Lens integration bring hands-on AI to Google Search

NotebookLM users can now generate narrated video summaries and work across media formats in one unified research space. Google’s latest updates aim to streamline how users synthesize, visualize, and present complex information.

Google DeepMind’s latest Imagen 4.0 models have officially landed on the LMArena Text-to-Image leaderboard. The July 26 update benchmarks two new variants of Imagen 4.0 against top open and closed-source models. This provides a rare, head-to-head performance view for researchers and developers watching the generative image space evolve.

The latest version of Google’s video model, Veo 3, is now available via the Gemini API and Vertex AI. It can generate short, cinematic videos with synchronized audio including dialogue and sound effects. This marks Google’s first generative model to combine visuals and sound, expanding its capabilities in AI-powered content creation.

Google has launched its new Gemini Embedding model, gemini-embedding-001, offering high-dimensional, multilingual semantic embeddings optimized for retrieval-augmented generation (RAG) and natural language tasks. With top benchmark scores and competitive pricing, it aims to set a new standard for embedding APIs.

Opal is a new experimental tool from Google that turns natural language prompts into interface designs. The app is designed to let users describe a UI using casual language or mood-based phrases, then watch Opal generate functional components in real-time. Google positions Opal as a creative assistant for early-stage prototyping, aiming to make design workflows more accessible to non-coders.

Gemini 2.5 now supports natural-language image segmentation, letting developers query images with plain text prompts. The feature understands complex relationships, conditional logic, and multilingual queries, streamlining visual AI workflows without custom models. It is available through Google AI Studio and the Gemini API, targeting creative, compliance, and insurance use cases.

Google is rolling out its July Gemini Drops, a new monthly update program that delivers fresh AI features and usage tips. This month’s release introduces Veo 3 for photo-to-video conversion, Gemini on smartwatches, improved scheduling, and performance boosts with Gemini 2.5 Pro. The move signals Google’s push to make Gemini a more proactive and creative everyday assistant.

Google has launched a new Batch Mode for its Gemini API, targeting developers with high-volume, non-urgent AI workloads. The new asynchronous endpoint allows users to process large batches of prompts at half the cost of the synchronous API. It also supports 2 GB JSONL files and advanced features like context caching and integrated tools. This update makes Gemini more viable for enterprises needing affordable, scalable AI infrastructure.

New open-source MCP toolkit turns complex SQL into simple, natural-language commands. The move lowers the barrier for building AI apps that can read, write, and understand data across PostgreSQL, MySQL, and more.

The latest version of Google’s Veo model is now available worldwide, offering significant upgrades in realism, speed, and usability. Designed to produce high-quality video from text prompts, Veo 3 introduces multilingual support and advanced style transfer. The move signals Google’s deeper push into accessible, creative AI tools for non-technical users.

Figma-to-app import, backend automation, and on-device AI inference expand Firebase’s developer workflow capabilities

Gemini CLI brings Gemini 2.5 Pro’s reasoning and multimodal power to the command line, enabling code generation, task automation, and media creation with a highly permissive license.