LLMs & Texto
Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
Gemini for Science: AI experiments and tools for a new era of discovery
A collection of science tools and experiments to expand the scale and precision of scientific exploration.
Making it easier to understand how content was created and edited
We're expanding our tools to help you understand how content was created and edited across the web.
Strengthening Singapore’s AI Future: A New National Partnership
Google DeepMind and Singapore partner to apply frontier AI to address complex challenges across health, education, and sustainability and more.
Finding the molecular switches behind new infectious diseases
Clare Bryant uses Co-Scientist to identify genetic triggers in emerging infectious diseases.
Opening new paths in aging research
Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
Accelerating discovery of liver disease mechanisms
Filippo Menolascina uses Co-Scientist to identify new liver disease treatments and explain why existing drugs only help certain patients.
Uniting biological toolkits for a new approach to ALS
Co-Scientist unites Boston Children’s Hospital and MIT’s labs to explore new RNA-based treatments for ALS.
Uncovering repurposed medicines to fight liver fibrosis
Stanford geneticist uses Co-Scientist to help find new treatments for chronic liver disease and liver fibrosis.
How WeatherNext helped the National Hurricane Center better predict Hurricane Melissa’s historic landfall in Jamaica
Learn how our WeatherNext AI model help forecasters give communities unprecedented time to prepare ahead of the historic Hurricane Melissa.
Gemini 3.5: frontier intelligence with action
Gemini 3.5 is built to help you execute complex, agentic workflows.
Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability
Our recent paper, “LLMs Corrupt Your Documents When You Delegate”, has generated discussion about the reliability of AI systems in delegated workflows. We appreciate the interest in this work and want to clarify several important points about what the paper does—and does not—claim. The research aims to develop robust evaluation methods for long-horizon delegated and […] The post Further Notes on Our Recent Research on AI Delegation and Long-Horizon Reliability appeared first on Microso...