Gemini, Google and AI
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AlphaEvolve is a new AI tool from Google that can improve all sorts of algorithms, which might make Gemini AI better.
Google’s Gemini Diffusion demo didn’t get much airtime at I/O, but its blazing speed—and potential for coding—has AI insiders speculating about a shift in the model wars.
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.
A new system that combines Gemini’s coding abilities with an evolutionary approach improves datacenter scheduling and chip design, and fine-tunes large language models.
Google's AI coding agent, Jules, is now available as part of a free, public beta that anyone with Gemini can take part in.
Learn how DeepMind’s AlphaEvolve evolves code with AI feedback loops, boosting efficiency in math and chip design faster than human engineers can.
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.
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).
Building a database-backed web application with Gemini in Firebase is far from perfect, but it’s better than coding without AI.
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.