Gemini, Google and Chrome
Digest more
Top News
Overview
Highlights
Originally unveiled by Google Labs in December, Jules is positioned as a reliable, automated coding assistant that can manage a broad suite of time-consuming tasks on behalf of human users. The model is "asynchronous," which, in programming-speak, means it can start and work on tasks without having to wait for any single one of them to finish.
AlphaEvolve is a new AI tool from Google that can improve all sorts of algorithms, which might make Gemini AI better.
Google I/O, Google’s biggest developer conference of the year, is here. I/O will showcase product announcements from across Google’s portfolio. We're looking forward to plenty of news relating to Android,
As our new age of agentic AI takes shape, Google is stepping up its game with the introduction of the Jules agent and enhanced Gemini AI, which could be seen as a direct response to the growing competition from Microsoft and GitHub,
Google’s AI models are learning to reason, wield agency, and build virtual models of the real world. The company’s AI lead, Demis Hassabis, says all this—and more—will be needed for true AGI.
Android Studio, the integrated development environment (IDE) for Android app developers, is getting an AI upgrade, Google announced at its developer conference, Google I/O 2025.
OpenAI has launched Codex, an AI coding agent powered by codex-1, designed to assist software engineers with tasks like writing features, fixing bugs, and proposing pull requests. Available on ChatGPT Pro,
The main update for 2.5 Pro from Google came early. Announced in the first week of May, this update improved Gemini 2.5 Pro’s ability to build interactive web apps. This was a major improvement on the technology, and saw a big push for vibe coding (the ability to code through AI prompts).
OpenAI’s most advanced AI coding agent, Codex, will bring parallel task automation to developers—but analysts caution that speed without scrutiny invites “silent failures.”
Learn how DeepMind’s AlphaEvolve evolves code with AI feedback loops, boosting efficiency in math and chip design faster than human engineers can.