LLMs & Texto
Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
Holo3.1: Fast & Local Computer Use Agents
Rehumanizing global health care with agentic AI
The global health care sector is under increasing strain. Decades of chronic underinvestment and constraints in recruitment have coincided with a surge in demand for services for aging populations. Gaps in provision are already taking a toll, with fragmented access to care and high rates of stress and burnout among staff. And it’s getting worse.…
GridVQA-X: A Framework for Evaluating Multimodal Explainability Methods
GridVQA-X introduces a diagnostic framework to evaluate cross-modal explainability by distinguishing genuine spatial-relational reasoning from cross-modal shortcuts in multimodal m…
SkillHarness: Harnessing Safe Skills for Computer-Use Agents
SkillHarness is a framework that enables computer-use agents to safely learn and execute skills in dynamic environments by incorporating safety constraints and adaptive skill selec…
How we used Gemini to build Google I/O 2026
Learn how Googlers used AI to produce Google I/O 2026.
Introducing Mellum2: A 12B Mixture-of-Experts Model by JetBrains
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic
Take our I/O 2026 quiz, vibe coded in Google AI Studio.
We used Google AI Studio to vibe code a quiz about our top I/O 2026 announcements.
9 demos of Gemini Omni and Gemini 3.5 in action
Watch 9 videos showing the capabilities of Gemini Omni and Gemini 3.5, announced at Google I/O 2026.
Profiling in PyTorch (Part 1): A Beginner's Guide to torch.profiler
A New Era of Discovery: Google Research at I/O 2026
General Science